MWMS Source Visibility And Evidence Display Standard

System: MWMS

Document Type: Standard

Status: Active

Version: v1.1

Authority: HeadOffice

Applies To: Research Brain, Affiliate Brain, Ads Brain, Content Brain, HeadOffice Intelligence, Data Brain, Experimentation Brain, Risk Brain, AIBS Brain, AI Employees, Deep Search Workflows, Client Intelligence Systems, Future Client Facing AI Systems

Primary Location: MCR

Future Operational Destination: mwmsbrain.site, mwmsheadofficebrain.site, Brain Room, Research Brain, Affiliate Brain, Ads Brain, AI Employee Dashboards, HeadOffice Dashboards, Future Client Portals

Parent Page: HeadOffice

Source Of Truth: MCR

Related Frameworks: MWMS Deep Search Quality And Observability Framework, MWMS Research Planning And Query Rewriting Standard, MWMS AI Guardrail And Preflight Check Standard, MWMS AI Work Session Persistence Standard, MWMS AI Observability Metadata Standard, MWMS AI Employee Evaluation Scorecard Standard, MWMS Agent Loop Control Framework, MWMS Independent Model Review And Rescue Routing Framework, MWMS Research Synthesis Documentation And Distribution Framework, MWMS External Knowledge Engine And Reasoning Agent Separation Framework

Course Source: Matt Pocock AIhero Build DeepSearch In TypeScript and AI Automations by Jack Fact Checking, Multi-Model Research, Browser Copilot, Client Intelligence, Source Verification, and Evidence Display Material

Absorption Status: Approved For Integration

Last Reviewed: 2026-06-21

Purpose

The purpose of this standard is to define how MWMS displays sources, claims, evidence, evidence roles, source confidence, source independence, factual verdicts, and unresolved disagreement to human operators.

MWMS AI Employees must not only produce answers.

They must show:

what claim was evaluated

what evidence was used

where the evidence came from

what each source actually contributed

whether the source supports or challenges the claim

how reliable the source appears

how fresh the source is

whether apparently separate sources rely on the same original evidence

whether evidence is sufficient

whether credible disagreement remains

whether the final conclusion is properly supported

This standard ensures source evidence is not hidden inside backend traces, raw logs, model reasoning, unstructured source lists, or polished reports.

The operator should be able to determine:

which sources were discovered

which sources were inspected

which sources were used

which sources were rejected

which sources were inaccessible

which sources were duplicates or derivatives

what each source supported

what each source challenged

whether the original source was found

whether the claim was verified

whether the conclusion contains interpretation

whether uncertainty remains

The goal is to make AI-generated intelligence easier to trust, review, audit, challenge, correct, and improve.

Scope

This standard applies to any MWMS workflow where sources, evidence, research, client information, or external information influence an output or decision.

This includes:

Deep Search workflows

Research Brain investigations

fact-checking systems

browser copilots

multi-model research

Affiliate Brain offer evaluations

Ads Brain compliance reviews

Content Brain research workflows

HeadOffice Intelligence reviews

Newsletter Intelligence follow-up research

client intelligence reports

meeting preparation research

product or vendor research

tool evaluations

source inspections

market trend research

compliance and policy checks

Experimentation Brain analysis

Risk Brain reviews

AIBS client reports

future client-facing research outputs

future conversational research systems

future evidence-backed dashboards

This standard does not define exact frontend code, React components, scraping implementation, database implementation, or source table structure.

It defines the MWMS governance standard for showing evidence to operators and approved recipients.

Core Rule

The core rule is:

Sources and evidence used by AI Employees must be visible, understandable, and connected to the claim or conclusion they support.

If an AI Employee uses sources to support an answer, the operator should be able to inspect the evidence behind that answer.

A source-backed answer without visible source evidence is incomplete.

A list of links without claim-level connection is also incomplete.

Definition Of Source Visibility

Source visibility means the human operator can see the source evidence behind an AI output.

Source visibility should answer:

What sources did the AI find?

What sources did the AI inspect?

Which original sources were located?

Which sources were derivative?

What did each source say?

What claim did each source relate to?

Did each source support, challenge, qualify, or merely contextualise the claim?

Was the source official, primary, expert, independent, commercial, user-generated, or unknown?

Was the source current enough?

Was the source trusted?

Was the source actually used in the final answer?

Did any source conflict with another?

Did several sources rely on one underlying report?

Did the AI answer rely on strong or weak evidence?

Source visibility turns AI output from a black-box answer into a reviewable intelligence record.

Definition Of Evidence Display

Evidence display is the user-facing presentation of:

the evaluated claim

source material

evidence summaries

evidence roles

trust indicators

freshness indicators

source independence indicators

support and challenge status

limitations

conflicts

evidence sufficiency

verdict

confidence

unresolved issues

Evidence display may appear as:

claim cards

source cards

evidence panels

expandable source lists

citation rows

source summaries

trust and freshness badges

support and challenge labels

source relationship warnings

source conflict warnings

evidence sufficiency notes

claim-to-evidence maps

final answer support maps

HeadOffice review panels

Evidence display is not the same as raw logs.

It should be readable, structured, and useful to the operator.

Why MWMS Needs This Standard

Without source visibility, MWMS risks:

trusting polished but unsupported answers

missing outdated sources

missing weak evidence

hiding source conflicts

counting duplicated reports as independent evidence

treating citations as proof

making poor affiliate decisions

making risky ad compliance decisions

approving weak content

repeating research

losing auditability

weakening HeadOffice oversight

making AI Employees harder to evaluate

making client-facing systems less trustworthy

allowing model interpretation to appear as source fact

presenting confidence as truth

With source visibility, MWMS gains:

operator trust

better review quality

stronger evidence discipline

better compliance safety

better Research Brain outputs

better Affiliate Brain offer decisions

better Ads Brain policy review

better HeadOffice intelligence

reusable source records

claim-to-evidence traceability

clearer disagreement handling

clearer Kaizen learning

Source Visibility Versus Observability

Observability is for tracing what the system did.

Source visibility is for showing the operator what evidence supports the answer.

Observability may show:

model calls

tool activity

database activity

cost

latency

retries

errors

workflow state

Source visibility should show:

claim evaluated

source evidence

evidence role

source quality

freshness

independence

limitations

conflicts

verdict support

Both are needed.

A backend trace may show that a source was inspected.

Source visibility shows whether that source was relevant, useful, current, independent, trusted, and capable of supporting the conclusion.

Source Visibility Versus Citations

Citations show where information came from.

Source visibility shows:

what the source contributed

whether the source supports the exact claim

whether the source is reliable

whether the source is current

whether the source is independent

whether the source has limitations

whether contradictory evidence exists

A citation alone is not enough.

MWMS should aim to show:

source title

source URL or record reference

source type

source owner

publication date

event date where relevant

retrieved date

trust rating

freshness rating

relevance rating

evidence role

evidence summary

claim supported or challenged

source independence

used in final answer status

limitations

conflicts

A link without source context is weak evidence display.

Claim Visibility Standard

Where evidence is used to evaluate a material claim, the claim itself must be visible.

The display should include:

Claim ID:

Original Claim:

Normalised Claim:

Claim Type:

Claimant Or Origin:

Originating Source:

Claim Date:

Time Sensitivity:

Verdict:

Confidence:

Evidence Sufficiency:

Rule

The operator must be able to see what exact claim the evidence was used to evaluate.

The system must not present evidence against a simplified or altered version of the original claim without disclosure.

Claim Types

Possible claim types include:

factual claim

numerical claim

current-status claim

historical claim

causal claim

comparative claim

predictive claim

performance claim

legal or regulatory claim

medical or safety claim

marketing claim

opinion presented as fact

Different claim types may require different evidence standards.

Required Source Display Fields

Each displayed source should include, where available:

Source ID:

Source Title:

Source URL Or Record Reference:

Source Type:

Source Owner:

Original Source ID:

Derived From Source ID:

Publication Date:

Event Date:

Last Updated Date:

Retrieved At:

Freshness Rating:

Trust Rating:

Relevance Rating:

Evidence Role:

Evidence Summary:

Key Claims:

Claim IDs:

Limitations:

Independent Evidence:

Shared Evidence Base:

Used In Final Output:

Conflict Detected:

Source Status:

Verification Status:

Recommended Source Card Format

A source card should be readable at a glance.

Recommended format:

Source Title:

[Title]

Source Type:

Official / Primary Evidence / Expert / Independent Analysis / Commercial / User-Generated / Unknown

Freshness:

Current / Acceptable / Possibly Outdated / Outdated / Unknown / Not Applicable

Trust:

High / Medium / Low / Unknown

Evidence Role:

Supports / Challenges / Partially Supports / Context / Original Data / Repeated Source / Expert Interpretation / Signal Only

Evidence Summary:

[Short summary of what this source contributed]

Related Claim:

[Claim ID or claim summary]

Independent Evidence:

Yes / No / Unclear

Used In Final Answer:

Yes / No / Background Only / Rejected

Limitations:

[What this source does not prove or where caution is needed]

Verification Status:

Verified / Partially Verified / Unverified / Failed / Blocked

This may later become a UI component on mwmsbrain.site or mwmsheadofficebrain.site.

Source Type Classification

MWMS should classify source types.

Official Source

Examples:

vendor documentation

official product page

platform policy page

government page

company announcement

official changelog

affiliate network page

Default trust level:

High for what the organisation officially states, but still checked for bias, scope, and freshness.

Primary Evidence Source

Examples:

research paper

court record

regulatory filing

financial filing

official dataset

direct transcript

technical specification

original survey

original report

Default trust level:

High where authentic, relevant, current, and correctly interpreted.

Expert Source

Examples:

respected industry publication

specialist blog

analyst report

credible technical article

recognised practitioner source

Default trust level:

Medium to high.

Independent Analysis Source

Examples:

reputable journalism

independent investigation

research organisation

credible comparison using disclosed methods

Default trust level:

Medium to high depending on its evidence.

Commercial Source

Examples:

sales page

affiliate review page

comparison page with commissions

agency landing page

vendor marketing page

Default trust level:

Medium to low unless corroborated.

User-Generated Source

Examples:

Reddit

forums

comments

social media posts

community discussion

Default trust level:

Signal only, not proof.

Unknown Source

Examples:

content farms

anonymous blogs

scraped reposts

pages with unclear ownership

thin AI-generated content

Default trust level:

Low.

Freshness Display Standard

Every source used in time-sensitive workflows should show freshness.

Freshness Ratings

Current

Suitable for current decision-making.

Acceptable

Recent enough for the task.

Possibly Outdated

Use with caution.

Outdated

Should not be trusted for a current decision without historical context.

Unknown

No clear date or freshness signal.

Not Applicable

Evergreen or historical source where current freshness is not material.

Freshness matters most for:

pricing

affiliate payouts

product availability

platform policies

laws and regulations

AI tool features

software documentation

advertising rules

market trends

current events

company leadership

compliance matters

financial performance

Rule

If freshness matters and the source date is unknown, the source should not be displayed as high confidence.

Publication Date And Event Date Rule

The publication date and the date of the event or evidence should remain separate.

A newly published article may discuss old evidence.

An older source may remain the original evidence for a historical event.

The display should show both dates where relevant.

Trust Display Standard

Sources should display a trust rating where possible.

Trust Ratings

High

Official, primary, credible, directly relevant, and sufficiently reliable.

Medium

Useful but may require corroboration or qualification.

Low

Weak, biased, indirect, outdated, commercially conflicted, or questionable.

Unknown

Not enough information is available to judge.

Trust rating should consider:

source owner

source type

publication quality

bias

commercial incentive

directness of evidence

freshness

method transparency

corroboration

history of reliability

Rule

A low-trust source may be shown as a signal, but it should not be treated as proof.

Relevance Display Standard

A source should show how relevant it is to the task and claim.

Relevance Ratings

High

Directly supports, challenges, or answers the material claim.

Medium

Supports part of the claim or provides meaningful context.

Low

Background only or weakly related.

A source can be trustworthy but not relevant.

A source can be relevant but not trustworthy.

Both must be visible.

Evidence Role Standard

Every source used in a material conclusion should be assigned an evidence role.

Possible evidence roles include:

Supports Claim

Challenges Claim

Partially Supports Claim

Qualifies Claim

Provides Context

Defines Terminology

Supplies Original Data

Repeats Another Source

Provides Expert Interpretation

Provides User Experience Signal

Does Not Materially Support Conclusion

Rule

A citation is not automatically supporting evidence.

The operator must be able to see the actual role the source played.

Claim-To-Evidence Mapping Standard

Material claims should be connected to the sources and evidence used to evaluate them.

A claim-to-evidence display should include:

Claim:

Verdict:

Supporting Sources:

Challenging Sources:

Context Sources:

Original Evidence:

Missing Evidence:

Evidence Sufficiency:

Confidence:

Unresolved Issues:

Rule

The operator must be able to determine which source supports which claim.

A general source list at the end of a report is not sufficient for material decisions.

Evidence Summary Rule

Each source should include a short evidence summary.

The summary should answer:

What did this source contribute?

What claim did it support, challenge, or qualify?

Why was it useful?

Was it the original source?

What limitation should the operator know?

The summary must not invent missing evidence.

If the source does not answer the needed question, the summary should say so.

Evidence Summary Versus Source Description

A source description explains what the page or document is.

An evidence summary explains what material evidence it contributes.

Example Source Description:

A company announcement discussing a new product.

Example Evidence Summary:

The company officially announced the product on the stated date but did not provide independent performance evidence.

Rule

Source descriptions must not be mistaken for evidence.

Used In Final Output Rule

MWMS should show whether a source was actually used in the final answer.

Possible statuses include:

Used

Source materially supported or challenged the final conclusion.

Not Used

Source was inspected but not used.

Background Only

Source helped provide context but did not support the final claim.

Rejected

Source was weak, irrelevant, duplicated, outdated, or unreliable.

Failed

Source could not be inspected.

Conflicting

Source materially conflicted with other evidence.

Repeated Source

Source repeated another source without adding independent evidence.

This helps operators understand the evidence path.

Source Independence Standard

Several sources do not necessarily provide several independent confirmations.

Sources may rely on:

the same press release

the same research paper

the same company statement

the same unnamed source

the same data provider

the same syndicated article

the same social media post

the same AI-generated summary

The source display should show:

Original Source:

Derived Sources:

Syndicated Content:

Shared Evidence Base:

Independent Reporting:

Independent Evidence:

Rule

Ten pages repeating one report are one evidence chain, not ten independent confirmations.

Source Independence Display

Possible independence statuses include:

Independent

The source provides materially separate evidence or reporting.

Dependent

The source relies on an identified original source.

Shared Evidence Base

The source appears separate but relies on the same underlying evidence.

Unclear

Source dependence cannot be determined.

Not Applicable

Independence is not relevant to the use of the source.

Rule

The number of source URLs must not be used as a substitute for evidence diversity.

Original Source Preservation Standard

Where practical, the original source should be preserved and displayed alongside derivative reporting.

The system should identify:

original claim source

original evidence source

later reporting

commentary

reposts

summaries

AI-generated interpretation

Rule

MWMS should not use a derivative article as the only visible evidence where the original source is accessible.

Original Source And Verification Separation

The original source shows what was originally claimed or published.

Independent verification determines whether the claim is supported.

The display should distinguish:

Original Claim Source

Independent Verification Source

Contradictory Source

Context Source

Expert Interpretation

Rule

A company’s own statement is evidence that the company made the statement.

It is not automatically independent evidence that the statement is true.

Source Conflict Display Rule

If sources conflict, the operator should see it.

Conflict display should include:

conflicting sources

claim affected

what they disagree on

source dates

source types

which evidence appears stronger

whether different definitions or time periods explain the disagreement

whether the conflict affects the verdict

whether human review is required

Rule

Source conflict should lower confidence unless resolved.

The AI Employee must not hide disagreement between sources.

Unresolved Disagreement Display Standard

Where credible disagreement remains unresolved, the output should display:

Unresolved Issue:

Position One:

Evidence Supporting Position One:

Position Two:

Evidence Supporting Position Two:

Reason Unresolved:

Risk If Position One Is Wrong:

Risk If Position Two Is Wrong:

Required Next Step:

Execution Restriction:

Human Review Status:

Rule

Unresolved disagreement must not be converted into false consensus.

Verdict Display Standard

Where the workflow evaluates a factual claim, the output should use a controlled verdict.

Recommended verdicts include:

Supported

Strong available evidence supports the claim.

Mostly Supported

The central claim is supported, but qualifications or minor inaccuracies exist.

Partially Supported

Some parts are supported, but the complete claim is not.

Misleading

The claim uses true elements but creates a materially incorrect impression.

Unsupported

Sufficient supporting evidence was not found.

Contradicted

Strong evidence conflicts with the claim.

Outdated

The claim may previously have been accurate but is no longer current.

Unverifiable

Available evidence is insufficient to reach a reliable conclusion.

Opinion Or Prediction

The statement cannot be treated as a settled factual claim.

Rule

The system should not force every claim into true or false.

Verdict And Explanation Separation

The verdict and the explanation must remain separate.

The verdict provides the controlled classification.

The explanation should describe:

what evidence supports the verdict

what limitations exist

what evidence challenges it

what uncertainty remains

Rule

A confident explanation must not silently strengthen a cautious verdict.

Confidence Display Standard

Confidence must remain separate from the verdict.

Verdict answers:

What does the available evidence indicate?

Confidence answers:

How strongly can MWMS rely on that verdict?

A claim may be:

Supported with moderate confidence

Unsupported with low confidence

Contradicted with high confidence

Unverifiable with high confidence that evidence is insufficient

Rule

Confidence is not truth.

Confidence must reflect evidence quality, source independence, freshness, coverage, and unresolved disagreement.

Evidence Sufficiency Display

The final output should include an evidence sufficiency rating where relevant.

Strong

Evidence is reliable, current, sufficiently independent, and directly supports the conclusion.

Acceptable

Evidence supports the conclusion but has minor limitations.

Weak

Evidence is incomplete, indirect, dependent, old, or uncertain.

Insufficient

There is not enough evidence to support a trusted conclusion.

Evidence sufficiency should influence:

confidence

human review requirements

final recommendation

whether the workflow continues

whether the result is parked

whether execution is restricted

Rule

Evidence sufficiency must not be determined by source count alone.

Source-List Theatre Prevention Rule

MWMS must prevent source-list theatre.

Source-list theatre occurs when an output appears well researched because it contains many links, citations, or source cards, but the displayed sources:

do not support the claim

repeat the same original evidence

are not inspected

are outdated

are irrelevant

are low trust

contain only search snippets

are included only to make the report appear authoritative

A source display must show:

whether the source was inspected

what evidence it contributed

which claim it relates to

whether it is independent

whether it was used

what limitation applies

Rule

A long source list is not proof of strong research.

Search Snippet Display Rule

Search snippets may help source discovery.

They should not normally be displayed as full evidence.

Where a snippet is used because the source cannot be opened, the display should state:

Source Inspection Status: Failed Or Blocked

Evidence Type: Search Snippet Only

Confidence Impact:

Verification Required:

Rule

Search snippets must not be presented as equivalent to inspected source content.

Source Display By Workflow Type

Different workflows require different source display depth.

Deep Search

Should show:

evaluated claims

all inspected sources

evidence summaries

evidence roles

trust and freshness ratings

source independence

used-in-answer status

conflicts

verdicts

confidence

evidence sufficiency

Affiliate Offer Evaluation

Should show:

vendor or product source

affiliate network source

terms and payout source

customer complaint or review signals

competitor sources

compliance or policy sources

source independence

current availability

Ads Compliance Review

Should show:

official policy source

product claim source

jurisdiction source

compliance risk evidence

policy date

source freshness

claim-to-policy relationship

Content Research

Should show:

topic sources

primary authority sources

competing content

freshness

search intent evidence

original evidence

claim suitability

HeadOffice Intelligence

Should show:

original newsletter or source

supporting external sources

challenging evidence

business relevance evidence

routing basis

risk notes

confidence

Client Intelligence

Should show:

client-approved source

external research

source ownership

privacy classification

verified client facts

interpretation

recommendation basis

Client-Facing Output

Should show sources carefully, with privacy and simplicity controls.

Client-facing evidence may be simplified, but the internal evidence record must remain available.

Multi-Model Research

Should show:

which model produced each interpretation

which sources each model used

whether source sets were independent

areas of agreement

areas of disagreement

minority evidence

final synthesis basis

Rule

Model agreement must not be displayed as source agreement unless the evidence is independently supported.

Operator UI Source Panel

Future MWMS interfaces should include an operator source and evidence panel where useful.

A source and evidence panel may include:

claim list

source list

source cards

evidence cards

filters by source type

filters by trust

filters by freshness

filters by evidence role

filters by independence

used versus unused sources

original versus derivative sources

conflicts

unresolved disagreements

evidence summary

source inspection status

claim-to-evidence map

open source link

copy source summary

create source record

route source issue to Research Brain

mark source as weak

mark source as derivative

add human review note

This is especially valuable for HeadOffice, Research Brain, Affiliate Brain, Ads Brain, and AIBS Brain.

Source Visibility Levels

Not all users need the same source visibility.

Internal Full Evidence

Full source, claim, evidence, independence, and disagreement detail for authorised MWMS operators.

HeadOffice Review

Evidence plus risk, confidence, verdict, independence, and decision indicators.

Developer Debug

Source plus retrieval, tool, database, and failure metadata.

Client Summary

Simplified sources, explanation, confidence, and limitations.

Hidden Or Internal Only

Sensitive sources not shown externally.

Archived Evidence

Historical source and evidence records preserved for audit.

Rule

Internal MWMS evidence should be richer than client-facing evidence.

Source Privacy And Safety Rule

Source display must not expose sensitive information unnecessarily.

Do not expose:

private credentials

private user data

restricted client data

internal API responses

private financial details

confidential source excerpts

copyrighted long-form content beyond what is permitted

private email content unless authorised

restricted employee information

Where needed, display:

source reference

short summary

redacted excerpt

internal-only tag

access-restricted link

privacy classification

Evidence Display In AI Work Sessions

Source visibility should connect to the MWMS AI Work Session Persistence Standard.

A persistent AI work session should store:

claim IDs

source IDs

source summaries

source ratings

evidence roles

source independence

evidence sufficiency

sources used in final answer

conflicts detected

unresolved disagreement

verdict

confidence

review notes

source-related Kaizen notes

This makes source work reusable across sessions.

Evidence Display In Agent Loop Context

Source visibility should connect to the MWMS Agent Loop Context Schema.

Agent loop context should track:

claims

selected sources

inspected sources

source summaries

evidence items

evidence roles

evidence sufficiency

source conflicts

source dependence

answer readiness

review requirement

This helps the Next Action Picker decide whether to:

continue research

inspect the original source

search for contradictory evidence

answer

park

escalate

Evidence Display In Observability

Source visibility should connect to the MWMS AI Observability Metadata Standard.

Observability should record:

claim count

source count

inspected source count

failed source inspections

original sources found

derivative sources found

independent evidence chains

source trust rating

source freshness rating

source used in answer

evidence role

source conflict status

evidence sufficiency

verdict

confidence

This gives HeadOffice visibility into evidence quality across AI Employees.

Evidence Display In Evaluation Scorecards

Source visibility supports the MWMS AI Employee Evaluation Scorecard Standard.

Source display helps evaluate:

claim precision

source quality

source independence

freshness

factuality

answer relevancy

contradiction handling

confidence calibration

decision usefulness

traceability

safety

If source display is weak, evaluation quality is weaker.

Source Display And Confidence

Confidence must reflect evidence quality.

Confidence should be reduced when:

sources are low trust

source freshness is unknown

no original source was found

no independent source was found where required

sources conflict

source inspection failed

evidence is indirect

only commercial sources were used

only user-generated sources were used

apparently separate sources share one evidence base

source summaries are incomplete

final answer relies on assumptions

credible minority evidence remains unresolved

Rule

A high-confidence answer requires visible and sufficient evidence.

A high source count does not justify high confidence.

Source Display And Human Review

Human review should be triggered when:

source evidence is weak

sources conflict

freshness is unknown on a current topic

only low-trust sources are available

source inspection fails

source independence is unclear

the original source cannot be found

final answer affects compliance

final answer affects budget

final answer affects campaign launch

final answer is client-facing

evidence is insufficient for the decision

credible disagreement remains

the verdict is high impact

The review panel should show the sources and evidence conditions that caused concern.

Source Display And Kaizen

Weak source visibility should create Kaizen learning.

Kaizen notes may include:

claim not clearly displayed

source type classification missing

freshness not captured

trust rating missing

evidence role missing

source summary too vague

source independence not checked

derivative source presented as original

source conflict not shown

source used in answer not marked

evidence sufficiency unclear

verdict and confidence confused

source UI difficult to review

operator could not tell why the answer was trusted

These may become future improvements or regression tests.

Source Display Failure Conditions

Source visibility should be marked failed or weak if:

sources were used but not displayed

claim being evaluated is unclear

source URLs or record references are missing

source titles are missing

source summaries are missing

evidence roles are missing

freshness is missing where required

trust rating is missing where required

source independence is ignored

derivative sources are counted as independent confirmation

source conflict is hidden

unresolved disagreement is hidden

source inspection failed but the answer appears confident

final answer cites evidence that is not stored

source list is too vague to audit

operator cannot tell which source supported which claim

verdict and confidence are merged

interpretation is presented as source fact

search snippets are presented as inspected evidence

Minimum Starting Implementation

MWMS does not need a perfect source display UI immediately.

Minimum starting source display should include:

claim or question

source title

source URL or source record ID

source type

retrieved date

evidence role

evidence summary

freshness rating where relevant

trust rating where relevant

independence status where relevant

used in final answer status

source inspection status

limitations

conflict status

This is enough to move from hidden evidence to visible evidence.

Recommended Claim Display Object

{
“claim_id”: “”,
“original_claim”: “”,
“normalised_claim”: “”,
“claim_type”: “”,
“claim_origin”: “”,
“originating_source_id”: “”,
“claim_date”: “”,
“time_sensitivity”: “”,
“verdict”: “”,
“confidence”: “”,
“evidence_sufficiency”: “”,
“supporting_evidence_ids”: [],
“challenging_evidence_ids”: [],
“context_evidence_ids”: [],
“missing_evidence”: [],
“unresolved_issues”: []
}

Recommended Source Display Object

{
“source_id”: “”,
“source_title”: “”,
“source_url”: “”,
“source_type”: “”,
“source_owner”: “”,
“original_source_id”: “”,
“derived_from_source_id”: “”,
“publication_date”: “”,
“event_date”: “”,
“last_updated_date”: “”,
“retrieved_at”: “”,
“freshness_rating”: “”,
“trust_rating”: “”,
“relevance_rating”: “”,
“evidence_role”: “”,
“evidence_summary”: “”,
“key_claims”: [],
“claim_ids”: [],
“limitations”: [],
“independent_evidence”: “”,
“shared_evidence_base”: “”,
“used_in_final_output”: false,
“conflict_detected”: false,
“source_status”: “”,
“verification_status”: “”
}

Recommended Evidence Display Object

{
“evidence_id”: “”,
“claim_id”: “”,
“source_id”: “”,
“evidence_summary”: “”,
“evidence_location”: “”,
“evidence_role”: “”,
“evidence_strength”: “”,
“source_reliability”: “”,
“independent_evidence”: “”,
“contradiction_status”: “”,
“used_in_final_conclusion”: false
}

These are conceptual objects only.

Exact implementation may be adapted later.

Relationship To Research Planning And Query Rewriting

Research planning defines what sources and evidence should be found.

Source visibility shows what sources and evidence were actually found and used.

The research plan may say:

Find the official Google Ads policy source.

Source visibility should show:

whether that source was found

whether it was inspected

whether it was current

which claim it relates to

whether it supported the answer

what limitations remained

This closes the loop between planning and evidence.

Relationship To Deep Search Quality And Observability

The MWMS Deep Search Quality And Observability Framework governs:

claim definition

retrieval

evidence quality

source independence

contradiction handling

verdict quality

confidence calibration

workflow observability

This standard governs how those elements are displayed to human operators.

Relationship To Independent Model Review

The MWMS Independent Model Review And Rescue Routing Framework may use several models to review an output.

This standard requires the display to show:

which model used which sources

whether evidence was independently retrieved

whether models shared the same evidence base

where models agreed

where models disagreed

what minority evidence remained

Rule

Model consensus must not be displayed as evidence consensus without source-level support.

Relationship To Research Synthesis Documentation And Distribution

The MWMS Research Synthesis Documentation And Distribution Framework governs how research moves into a distributable report.

This standard ensures distributed reports preserve:

source visibility

claim-to-evidence mapping

checked findings

supporting and challenging evidence

limitations

unresolved disagreement

verdict

confidence

Relationship To Search Scrape Summarise Pipeline

This standard points toward a future MWMS Search Scrape Summarise Evidence Pipeline Standard.

That future standard may define the operational pipeline for:

searching

inspecting

summarising

storing

rating

linking

displaying evidence

This page defines the display and governance expectations.

Relationship To Guardrail And Preflight Checks

The AI Guardrail And Preflight Check Standard decides whether sources are required before work begins.

This page defines how those sources should be displayed once used.

Preflight decides:

Are sources required?

Research planning decides:

What sources should be found?

Deep Search decides:

How should sources be inspected and evaluated?

Source visibility decides:

What sources were used, what did they prove, and are they good enough?

Future Enhancements

Future enhancements may include:

MWMS Search Scrape Summarise Evidence Pipeline Standard

MWMS Deep Search Source Record Standard

MWMS Source Summary Record Schema

MWMS Claim And Evidence Record Schema

MWMS Source Independence Graph

MWMS Evidence Sufficiency Scorecard

MWMS Source Display UI Component Specification

MWMS HeadOffice Evidence Review Panel Specification

MWMS Client Facing Evidence Display Standard

MWMS Research Brain Source Library

These should be created only when implementation or system complexity justifies them.

Drift Protection

This standard prevents the following drift:

hiding sources from operators

treating links as enough evidence

showing citations without trust context

showing source lists without claim connections

using stale sources without warning

using commercial sources as proof

counting derivative reports as independent sources

ignoring source conflicts

hiding unresolved disagreement

hiding failed source inspection

giving high confidence with weak evidence

combining verdict and confidence

presenting interpretation as source fact

separating final answers from supporting evidence

making research impossible to audit

making client-facing outputs difficult to trust

losing source quality signals from AI work sessions

If sources matter, they must be visible.

If evidence is weak, the operator must be able to see why.

Drift Signals

Watch for:

“There are plenty of links.”

“Three articles say the same thing.”

“They all repeat the company announcement, but that is fine.”

“The citation proves the claim.”

“The source looks credible.”

“The AI is confident.”

“We do not need the original report.”

“The disagreement will confuse the reader.”

“Put all the sources at the end.”

“The verdict and confidence are basically the same.”

“The search snippet gives us enough.”

“We inspected similar sources.”

“The models all agreed.”

Rule

When these drift signals appear, return to claim visibility, evidence roles, original sources, source independence, conflict display, verdict discipline, and confidence calibration.

Architectural Intent

The architectural intent of this standard is to make MWMS evidence-first.

MWMS is not building AI Employees that simply answer.

MWMS is building AI Employees that show:

what was evaluated

what evidence was used

what each source proved

what each source did not prove

where disagreement remains

how confident MWMS should be

For MWMS to trust AI-generated intelligence, the system must display the evidence behind the answer in a way humans can inspect, challenge, review, and improve.

Source visibility turns AI research into operational intelligence.

It makes the system:

more trustworthy

more auditable

more useful

more challengeable

more correctable

more ready for future client-facing delivery

Final Standard

The MWMS final standard is:

No material source-backed answer, research report, fact check, client intelligence report, compliance review, affiliate evaluation, AI recommendation, or Deep Search output should be treated as decision-ready unless the operator can see the claim, sources, evidence roles, source quality, freshness, independence, limitations, conflicts, verdict, confidence, and evidence sufficiency behind it.

A valid MWMS evidence display should define:

claim

claim type

source title

source location

source type

source owner

publication or event date

retrieval date

freshness

trust

relevance

evidence role

evidence summary

claim relationship

original source

source independence

source status

verification status

limitations

conflicts

supporting evidence

challenging evidence

unresolved disagreement

verdict

confidence

evidence sufficiency

human review requirement

That is the MWMS Source Visibility And Evidence Display Standard.

MWMS System Change Log

Version: v1.1

Date: 2026-06-21

Author: HeadOffice

Change

Updated the MWMS Source Visibility And Evidence Display Standard from v1.0 to v1.1 using the AI Automations by Jack material covering:

browser fact-checking interfaces

claim verification

source-backed client research

multi-model research

source comparison

supporting and opposing evidence

confidence display

verdict display

source URL preservation

fact-checking copilots

research report evidence presentation

Expanded the standard beyond general source cards and source-quality indicators to include claim-level evidence display and source-relationship governance.

Added new standards covering:

• claim visibility

• claim types

• claim-to-evidence mapping

• evidence roles

• evidence summaries versus source descriptions

• source independence

• original-source preservation

• derivative-source identification

• original claims versus independent verification

• unresolved disagreement display

• controlled verdict display

• verdict versus explanation separation

• confidence versus truth separation

• source-list theatre prevention

• search-snippet limitations

• multi-model evidence display

Added recommended conceptual objects for:

• Claim Display

• Source Display

• Evidence Display

Expanded the Source Display Object to include:

• Original Source ID

• Derived From Source ID

• Event Date

• Evidence Role

• Claim IDs

• Independent Evidence

• Shared Evidence Base

• Verification Status

Added explicit doctrine that:

• a citation is not automatically supporting evidence

• a company statement proves that the company made the statement but does not independently prove the statement is true

• multiple URLs may represent one evidence chain

• model consensus is not evidence consensus

• verdict and confidence must remain separate

• unresolved disagreement must not be hidden

Change Impact Declaration

This update materially strengthens the source and evidence display standard without changing its primary authority.

HeadOffice remains the authority owner.

Research Brain remains responsible for source and evidence quality.

Data Brain remains responsible for structured source, claim, and evidence records.

Product Brain and UX Brain may later implement evidence display interfaces, but they do not determine source truth.

The update does not require every low-risk answer to display a complex evidence panel.

Display depth should match:

• task risk

• claim importance

• audience

• distribution type

• decision impact

The update does require material outputs to preserve enough evidence visibility for review.

Pages Created

• None

Pages Updated

• MWMS Source Visibility And Evidence Display Standard updated from v1.0 to v1.1

Pages Deprecated

• None

Standalone Pages Not Created

The following standalone pages were not created because their durable intelligence is governed within this updated standard:

• MWMS Claim Evidence Display Standard

• MWMS Fact Check Evidence UI Standard

• MWMS Source Independence Display Standard

• MWMS Multi Model Evidence Display Standard

• MWMS Source Conflict Display Standard

• MWMS Verdict And Confidence Display Standard

• MWMS Original Source Preservation Standard

• MWMS Claim To Evidence Mapping Standard

Registries Requiring Update

• MCR Page Registry

• HeadOffice Page Registry

• Research Brain Page Registry where this standard is operationally referenced

• MCR Copy Map where the framework copy and version are recorded

• MWMS Course Absorption Decision Registry

Canon Version Update Required

No immediate HeadOffice Canon or Research Brain Canon version change is required unless either Canon directly records source-display versions or contains source-visibility rules that conflict with v1.1.

The new claim, evidence-role, source-independence, verdict, confidence, and disagreement controls should be included during the next scheduled HeadOffice and Research Brain Canon alignment review.

Change Log Entry Required

Yes.

The v1.1 update must be recorded in:

• MWMS System Change Log

• MCR Page Registry change history where applicable

• HeadOffice Page Registry change history where applicable

• Research Brain Page Registry change history where applicable

• MWMS Course Absorption Decision Registry

Strategic Absorption Result

The AI Automations by Jack material concerning browser fact-checking, multi-model research, source verification, client intelligence research, verdict generation, confidence display, and evidence-backed reporting has been absorbed into the existing MWMS Source Visibility And Evidence Display Standard.

The absorption preserves the durable evidence-display intelligence while rejecting:

• citation theatre

• source-count theatre

• repeated reports being treated as independent evidence

• search snippets being presented as inspected evidence

• confidence being presented as truth

• model agreement being presented as factual verification

• hidden contradictory evidence

• unresolved disagreement being removed for presentation quality

• source lists disconnected from individual claims

The resulting v1.1 standard establishes that MWMS evidence display must be:

• claim-specific

• source-visible

• evidence-role aware

• original-source aware

• independence-aware

• freshness-aware

• conflict-visible

• disagreement-preserving

• verdict-controlled

• confidence-calibrated

• privacy-safe

• operator-reviewable

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