LLM Safety From Within: Detecting Harmful Content with Internal Representations
Compared to this week’s papers
Verification pending
Use This Via API or MCP
Use Signal Canvas as the narrative proof surface
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Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/llm-safety-from-within-detecting-harmful-content-with-internal-representations
- 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.
- 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-representationsMCP 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: buildingClaims: 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.
LLM Safety From Within: Detecting Harmful Content with Internal Representations
Canonical Paper Receipt
Last verification: 2026-04-21T04:14:45.928ZFreshness: fresh
Proof: unverified
Repo: active
References: 0
Sources: 4
Coverage: 67%
- - references
- - proof_status
- - proof verification has not been recorded yet
Preparing verified analysis
Dimensions overall score 3.0
GitHub Code Pulse
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Startup potential card
Related Resources
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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