proof blockPage 676%
This equation defines the score or evaluation function that determines model quality.
HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models explores A comprehensive benchmark for detecting and analyzing hallucinations in large audio-language models, revealing critical deficiencies in acoustic grounding and temporal reasoning.. Commercial viability score: 7/10 in Audio AI.
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Page Freshness
Canonical route: /paper/halluaudio-a-comprehensive-benchmark-for-hallucination-detection-in-large-audio-language-models
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID halluaudio-a-comprehensive-benchmark-for-hallucination-detection-in-large-audio-language-models | Route /paper/halluaudio-a-comprehensive-benchmark-for-hallucination-detection-in-large-audio-language-models
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/halluaudio-a-comprehensive-benchmark-for-hallucination-detection-in-large-audio-language-modelsMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.19300"
}
}source_context
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"query": "HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models",
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"topic_slug": null,
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}Paper proof page receipt window
/buildability/halluaudio-a-comprehensive-benchmark-for-hallucination-detection-in-large-audio-language-models
Subject: HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Time to first demo
Insufficient data
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Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
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Dimensions overall score 7.0
Visual citation anchors from the paper document graph.
This equation defines the score or evaluation function that determines model quality.
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Receipt path
/buildability/halluaudio-a-comprehensive-benchmark-for-hallucination-detection-in-large-audio-language-models
Paper ref
halluaudio-a-comprehensive-benchmark-for-hallucination-detection-in-large-audio-language-models
arXiv id
2604.19300
Generated at
2026-04-22T20:32:43.923Z
Evidence freshness
fresh
Last verification
2026-04-22T20:32:43.923Z
Sources
4
References
25
Coverage
83%
Lineage hash
d7555a7055355191cf739572a371bcfcc44c1f4ccb91c27fa7c1bb614ea4e6f1
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.
25 refs / 4 sources / Verification pending
repo_url
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This equation captures one of the core mathematical components of the system. P p∈Pbinary 1{ˆyp ̸= yp ∧ˆyp} P Unrelated Ratio = p∈Pbinary 1{ˆyp ̸= yp} P p∈Pbinary 1{ˆyp = yp}
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This equation captures one of the core mathematical components of the system. P p∈Pbinary 1{ˆyp = Yes} Yes-p Ratio =
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