Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models
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Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/prefill-time-intervention-for-mitigating-hallucination-in-large-vision-language-models
- Proof freshness
- fresh
- Proof status
- unverified
- Display score
- 7/10
- Last proof check
- 2026-04-29
- Score updated
- 2026-04-29
- Score fresh until
- 2026-05-29
- References
- 0
- Source count
- 4
- Coverage
- 67%
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models
Canonical ID prefill-time-intervention-for-mitigating-hallucination-in-large-vision-language-models | Route /signal-canvas/prefill-time-intervention-for-mitigating-hallucination-in-large-vision-language-models
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/prefill-time-intervention-for-mitigating-hallucination-in-large-vision-language-modelsMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "prefill-time-intervention-for-mitigating-hallucination-in-large-vision-language-models",
"query_text": "Summarize Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models",
"normalized_query": "2604.25642",
"route": "/signal-canvas/prefill-time-intervention-for-mitigating-hallucination-in-large-vision-language-models",
"paper_ref": "prefill-time-intervention-for-mitigating-hallucination-in-large-vision-language-models",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Evidence Receipt
Route status: buildingClaims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models
PDF: https://arxiv.org/pdf/2604.25642v1
Repository: https://github.com/huaiyi66/PTI
Source count: 4
Coverage: 67%
Last proof check: 2026-04-29T02:30:39.031Z
Signal Canvas receipt window
Ready for execution: Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models
/buildability/prefill-time-intervention-for-mitigating-hallucination-in-large-vision-language-models
Subject: Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models
Verdict
Build Now
Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Compute envelope
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Evidence ids
Receipt path
/buildability/prefill-time-intervention-for-mitigating-hallucination-in-large-vision-language-models
Paper ref
prefill-time-intervention-for-mitigating-hallucination-in-large-vision-language-models
arXiv id
2604.25642
Freshness
Generated at
2026-04-29T02:30:39.031Z
Evidence freshness
fresh
Last verification
2026-04-29T02:30:39.031Z
Sources
4
References
0
Coverage
67%
Hash state
Lineage hash
333aed053a55a0b6bfef534642569923c4583c74186ed12fd6b7b9e2a23dc158
Canonical opportunity-kernel lineage hash.
Signature state
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Blockers
- Missing: references
- Missing: proof_status
- Unknown: proof verification has not been recorded yet
Pending verification refs / 4 sources / Verification pending
references
proof_status
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models
Canonical Paper Receipt
Last verification: 2026-04-29T02:30:39.031ZFreshness: 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 7.0
GitHub Code Pulse
Key claims
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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