extract: 2026-03-24-x-research-vibhu-tweet #1937

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leo wants to merge 1 commit from extract/2026-03-24-x-research-vibhu-tweet into main
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leo added 1 commit 2026-03-26 01:15:13 +00:00
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Validation: PASS — 0/0 claims pass

tier0-gate v2 | 2026-03-26 01:15 UTC

<!-- TIER0-VALIDATION:c2b5ecc9be7433069364c2486375d1460fb402d6 --> **Validation: PASS** — 0/0 claims pass *tier0-gate v2 | 2026-03-26 01:15 UTC*
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Eval started — 2 reviewers: leo (cross-domain, opus), theseus (domain-peer, sonnet)

teleo-eval-orchestrator v2

**Eval started** — 2 reviewers: leo (cross-domain, opus), theseus (domain-peer, sonnet) *teleo-eval-orchestrator v2*
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  1. Factual accuracy — The "Key Facts" section is duplicated in the inbox/queue/2026-03-24-x-research-vibhu-tweet.md file, which is a factual error in the file structure.
  2. Intra-PR duplicates — The "Key Facts" section is duplicated within the inbox/queue/2026-03-24-x-research-vibhu-tweet.md file.
  3. Confidence calibration — This PR contains an inbox file, which does not have claims or confidence levels.
  4. Wiki links — This PR contains an inbox file, which does not typically contain wiki links.
1. **Factual accuracy** — The "Key Facts" section is duplicated in the `inbox/queue/2026-03-24-x-research-vibhu-tweet.md` file, which is a factual error in the file structure. 2. **Intra-PR duplicates** — The "Key Facts" section is duplicated within the `inbox/queue/2026-03-24-x-research-vibhu-tweet.md` file. 3. **Confidence calibration** — This PR contains an inbox file, which does not have claims or confidence levels. 4. **Wiki links** — This PR contains an inbox file, which does not typically contain wiki links. <!-- ISSUES: factual_discrepancy, near_duplicate --> <!-- VERDICT:LEO:REQUEST_CHANGES -->
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Rejected — 1 blocking issue

[BLOCK] Factual accuracy: Claim contains factual errors or misrepresents source material

  • Fix: Re-read the source. Verify specific numbers, names, dates. If source X quotes source Y, attribute to Y.

[WARN] Duplicate check: Substantially similar claim already exists in KB

  • Fix: Check KB index before extracting. If similar claim exists, add evidence as an enrichment instead of creating a new file.
<!-- REJECTION: {"issues": ["factual_discrepancy", "near_duplicate"], "source": "eval_attempt_1", "ts": "2026-03-26T01:15:55.906457+00:00"} --> **Rejected** — 1 blocking issue **[BLOCK] Factual accuracy**: Claim contains factual errors or misrepresents source material - Fix: Re-read the source. Verify specific numbers, names, dates. If source X quotes source Y, attribute to Y. **[WARN] Duplicate check**: Substantially similar claim already exists in KB - Fix: Check KB index before extracting. If similar claim exists, add evidence as an enrichment instead of creating a new file.
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Leo — Cross-Domain Review: PR #1937

PR: extract: 2026-03-24-x-research-vibhu-tweet
Files changed: 1 (inbox/queue/2026-03-24-x-research-vibhu-tweet.md)
Type: Source archive, null-result


This is a null-result source archive — Rio ran extraction 3 times against a collection of tweets about Vibhu (Solana ecosystem figure) and got 0 claims each time. The null-result is reasonable: the source material is community banter about someone's tweets going viral, not substantive claims about mechanisms, markets, or technology.

Issues

1. Wrong directory. Source archives go in inbox/archive/, not inbox/queue/. The schema (schemas/source.md) is explicit: "Every piece of external content that enters the knowledge base gets archived in inbox/archive/."

2. Duplicate YAML keys. The frontmatter has processed_by, processed_date, and extraction_notes each repeated 3 times (once per extraction run). YAML doesn't support duplicate keys — parsers will silently drop all but the last. If you need to record multiple extraction attempts, use a list structure or a single entry reflecting the final state.

3. Triplicated body content. The "Key Facts" section is copy-pasted 3 times, likely an artifact of 3 extraction runs appending without deduplication.

4. Missing required fields. Per schemas/source.md, these are required but absent:

  • author — should be something like "multiple authors (Solana community)"
  • url — original tweet URL(s)
  • intake_tier — directed, undirected, or research-task

5. Missing notes field. Schema requires notes for null-results explaining why no claims were extracted. The extraction_notes field captures the mechanical result ("LLM returned 0 claims") but not the why — which is that this is social media chatter without extractable claims about mechanisms or markets.

6. Non-schema fields. source_type (legacy, acceptable) and contribution_type (not in schema at all — drop or move to notes).

No cross-domain concerns

The null-result is correct. There's nothing in this source material that warrants claims in any domain.


Verdict: request_changes
Model: opus
Summary: Null-result is correct but the file has structural issues: wrong directory (queue vs archive), duplicate YAML keys from repeated extraction runs, triplicated body content, and missing required schema fields (author, url, intake_tier, notes).

# Leo — Cross-Domain Review: PR #1937 **PR:** `extract: 2026-03-24-x-research-vibhu-tweet` **Files changed:** 1 (`inbox/queue/2026-03-24-x-research-vibhu-tweet.md`) **Type:** Source archive, null-result --- This is a null-result source archive — Rio ran extraction 3 times against a collection of tweets about Vibhu (Solana ecosystem figure) and got 0 claims each time. The null-result is reasonable: the source material is community banter about someone's tweets going viral, not substantive claims about mechanisms, markets, or technology. ## Issues **1. Wrong directory.** Source archives go in `inbox/archive/`, not `inbox/queue/`. The schema (`schemas/source.md`) is explicit: "Every piece of external content that enters the knowledge base gets archived in `inbox/archive/`." **2. Duplicate YAML keys.** The frontmatter has `processed_by`, `processed_date`, and `extraction_notes` each repeated 3 times (once per extraction run). YAML doesn't support duplicate keys — parsers will silently drop all but the last. If you need to record multiple extraction attempts, use a list structure or a single entry reflecting the final state. **3. Triplicated body content.** The "Key Facts" section is copy-pasted 3 times, likely an artifact of 3 extraction runs appending without deduplication. **4. Missing required fields.** Per `schemas/source.md`, these are required but absent: - `author` — should be something like "multiple authors (Solana community)" - `url` — original tweet URL(s) - `intake_tier` — directed, undirected, or research-task **5. Missing `notes` field.** Schema requires `notes` for null-results explaining why no claims were extracted. The `extraction_notes` field captures the mechanical result ("LLM returned 0 claims") but not the *why* — which is that this is social media chatter without extractable claims about mechanisms or markets. **6. Non-schema fields.** `source_type` (legacy, acceptable) and `contribution_type` (not in schema at all — drop or move to `notes`). ## No cross-domain concerns The null-result is correct. There's nothing in this source material that warrants claims in any domain. --- **Verdict:** request_changes **Model:** opus **Summary:** Null-result is correct but the file has structural issues: wrong directory (queue vs archive), duplicate YAML keys from repeated extraction runs, triplicated body content, and missing required schema fields (author, url, intake_tier, notes). <!-- VERDICT:LEO:REQUEST_CHANGES -->
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Theseus Domain Review — PR #1937

PR: extract/2026-03-24-x-research-vibhu-tweet
Files changed: 1 (inbox/queue/2026-03-24-x-research-vibhu-tweet.md)

What This PR Contains

A single source archive file recording that Rio processed a tweet thread about Vibhu (a Solana ecosystem figure) and produced zero claims across three extraction attempts. The source is classified domain: internet-finance with status: null-result.

Domain Assessment

This PR has no AI/alignment content. The source material is Solana community chatter — app growth from a tweet mention, jokes about ghostwriting, a Solana anniversary, a TikTok typo incident. There is nothing here that touches AI capabilities, alignment, collective intelligence, or any adjacent concern within my domain.

The null-result classification is correct. Rio made the right call: there are no extractable claims here, alignment-relevant or otherwise.

Process Observations

The file has a structural issue: processed_by and processed_date are each listed three times (once per extraction attempt), which is not valid YAML — duplicate keys silently overwrite in most parsers, so only the last value persists. The multiple ## Key Facts sections are also duplicated verbatim three times. These look like artifacts of three separate extraction pipeline runs appending to the same file rather than overwriting it cleanly. This is a tooling/pipeline issue, not a content issue, but it means the archive file is malformed.

This is outside my domain to evaluate substantively, but it's worth noting for whoever maintains the extraction pipeline.

Cross-Domain Connections

None. This source has no hooks into AI/alignment.


Verdict: approve
Model: sonnet
Summary: No AI/alignment content in scope. Null-result classification is correct. Minor structural issue with duplicate YAML keys and repeated content blocks in the archive file — likely a pipeline artifact worth fixing but not a blocker.

# Theseus Domain Review — PR #1937 **PR:** extract/2026-03-24-x-research-vibhu-tweet **Files changed:** 1 (`inbox/queue/2026-03-24-x-research-vibhu-tweet.md`) ## What This PR Contains A single source archive file recording that Rio processed a tweet thread about Vibhu (a Solana ecosystem figure) and produced zero claims across three extraction attempts. The source is classified `domain: internet-finance` with `status: null-result`. ## Domain Assessment This PR has no AI/alignment content. The source material is Solana community chatter — app growth from a tweet mention, jokes about ghostwriting, a Solana anniversary, a TikTok typo incident. There is nothing here that touches AI capabilities, alignment, collective intelligence, or any adjacent concern within my domain. The null-result classification is correct. Rio made the right call: there are no extractable claims here, alignment-relevant or otherwise. ## Process Observations The file has a structural issue: `processed_by` and `processed_date` are each listed three times (once per extraction attempt), which is not valid YAML — duplicate keys silently overwrite in most parsers, so only the last value persists. The multiple `## Key Facts` sections are also duplicated verbatim three times. These look like artifacts of three separate extraction pipeline runs appending to the same file rather than overwriting it cleanly. This is a tooling/pipeline issue, not a content issue, but it means the archive file is malformed. This is outside my domain to evaluate substantively, but it's worth noting for whoever maintains the extraction pipeline. ## Cross-Domain Connections None. This source has no hooks into AI/alignment. --- **Verdict:** approve **Model:** sonnet **Summary:** No AI/alignment content in scope. Null-result classification is correct. Minor structural issue with duplicate YAML keys and repeated content blocks in the archive file — likely a pipeline artifact worth fixing but not a blocker. <!-- VERDICT:THESEUS:APPROVE -->
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Changes requested by leo(cross-domain). Address feedback and push to trigger re-eval.

teleo-eval-orchestrator v2

**Changes requested** by leo(cross-domain). Address feedback and push to trigger re-eval. *teleo-eval-orchestrator v2*
m3taversal closed this pull request 2026-03-26 01:18:59 +00:00

Pull request closed

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