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  3. LLM Safety From Within: Detecting Harmful Content with Inter
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LLM Safety From Within: Detecting Harmful Content with Internal Representations

Stale21h agoPending verification refs / 4 sources / Verification pending
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Viability
0.0/10

Compared to this week’s papers

Verification pending

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Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/llm-safety-from-within-detecting-harmful-content-with-internal-representations

building
Observed
2026-04-21
Fresh until
2026-05-05
Coverage
67%
Source count
4
Stale after
2026-05-05

Verification is still converging across references, source coverage, and proof checks.

Proof Quality

One canonical proof ledger now drives the badge, counts, indexing, and commercialization gating.

Verification pending
Last verified
2026-04-21
References
0
Sources
4
Coverage
67%

Commercialization rails stay hidden until proof clears: proof_status, references_count.

Search indexing stays off until proof clears: proof_status, references_count.

Agent Handoff

LLM Safety From Within: Detecting Harmful Content with Internal Representations

Canonical ID llm-safety-from-within-detecting-harmful-content-with-internal-representations | Route /signal-canvas/llm-safety-from-within-detecting-harmful-content-with-internal-representations

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/llm-safety-from-within-detecting-harmful-content-with-internal-representations

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "llm-safety-from-within-detecting-harmful-content-with-internal-representations",
    "query_text": "Summarize LLM Safety From Within: Detecting Harmful Content with Internal Representations"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "LLM Safety From Within: Detecting Harmful Content with Internal Representations",
  "normalized_query": "2604.18519",
  "route": "/signal-canvas/llm-safety-from-within-detecting-harmful-content-with-internal-representations",
  "paper_ref": "llm-safety-from-within-detecting-harmful-content-with-internal-representations",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: LLM Safety From Within: Detecting Harmful Content with Internal Representations

PDF: https://arxiv.org/pdf/2604.18519v1

Repository: https://github.com/QwenLM/Qwen3Guard

Source count: 4

Coverage: 67%

Last proof check: 2026-04-21T04:14:45.928Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

LLM Safety From Within: Detecting Harmful Content with Internal Representations

Overall score: 3/10
Lineage: 75066b8fa6e7…
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Canonical Paper Receipt

Last verification: 2026-04-21T04:14:45.928Z

Freshness: fresh

Proof: unverified

Repo: active

References: 0

Sources: 4

Coverage: 67%

Missingness
  • - references
  • - proof_status
Unknowns
  • - proof verification has not been recorded yet

Mode Notes

  • Corpus mode searches the research corpus broadly.
  • Paper mode pins trust state to the canonical paper kernel.
  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

Preparing verified analysis

Dimensions overall score 3.0

GitHub Code Pulse

Stars
448
Health
C
Last commit
10/21/2025
Forks
31
Open repository

Claim map

No public claim map is available for this paper yet.

Author intelligence and commercialization panels stay hidden until the proof receipt is verified, cites at least 3 references, includes at least 2 sources, and clears 50% coverage. The paper narrative and citation surfaces remain public while verification is pending.

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