Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Route this paper proof surface into REST, MCP, or developer workflows while preserving the same evidence receipt and related-resource context.
Page Freshness
Canonical route: /signal-canvas/benchmarking-deflection-and-hallucination-in-large-vision-language-models
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Canonical ID benchmarking-deflection-and-hallucination-in-large-vision-language-models | Route /signal-canvas/benchmarking-deflection-and-hallucination-in-large-vision-language-models
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/benchmarking-deflection-and-hallucination-in-large-vision-language-modelsMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "benchmarking-deflection-and-hallucination-in-large-vision-language-models",
"query_text": "Summarize Benchmarking Deflection and Hallucination in Large Vision-Language Models"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Benchmarking Deflection and Hallucination in Large Vision-Language Models",
"normalized_query": "2604.12033",
"route": "/signal-canvas/benchmarking-deflection-and-hallucination-in-large-vision-language-models",
"paper_ref": "benchmarking-deflection-and-hallucination-in-large-vision-language-models",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Benchmarking Deflection and Hallucination in Large Vision-Language Models
PDF: https://arxiv.org/pdf/2604.12033v1
Source count: 3
Coverage: 50%
Last proof check: 2026-04-15T16:43:20.656Z
Signal Canvas receipt window
/buildability/benchmarking-deflection-and-hallucination-in-large-vision-language-models
Subject: Benchmarking Deflection and Hallucination in Large Vision-Language Models
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Preparing verified analysis
Dimensions overall score 7.0
No public code linked for this paper yet.
CLAIM MAP
No public claim map is available for this paper yet.
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Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/benchmarking-deflection-and-hallucination-in-large-vision-language-models
Paper ref
benchmarking-deflection-and-hallucination-in-large-vision-language-models
arXiv id
2604.12033
Generated at
2026-04-15T16:43:20.656Z
Evidence freshness
stale
Last verification
2026-04-15T16:43:20.656Z
Sources
3
References
0
Coverage
50%
Lineage hash
d8eef8350f7d329c4c4a5c25089edbfeb26e9b9c7189a7c80ee794228b1d3ff2
Canonical opportunity-kernel lineage hash.
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.
Pending verification refs / 3 sources / Verification pending
repo_url
references