HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models
Compared to this week’s papers
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Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/halluaudio-a-comprehensive-benchmark-for-hallucination-detection-in-large-audio-language-models
- Proof freshness
- fresh
- Proof status
- unverified
- Display score
- 7/10
- Last proof check
- 2026-04-22
- Score updated
- 2026-04-22
- Score fresh until
- 2026-05-22
- References
- 25
- Source count
- 4
- Coverage
- 83%
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models
Canonical ID halluaudio-a-comprehensive-benchmark-for-hallucination-detection-in-large-audio-language-models | Route /signal-canvas/halluaudio-a-comprehensive-benchmark-for-hallucination-detection-in-large-audio-language-models
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/halluaudio-a-comprehensive-benchmark-for-hallucination-detection-in-large-audio-language-modelsMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "halluaudio-a-comprehensive-benchmark-for-hallucination-detection-in-large-audio-language-models",
"query_text": "Summarize HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models",
"normalized_query": "2604.19300",
"route": "/signal-canvas/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",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Evidence Receipt
Route status: buildingClaims: 1
References: 25
Proof: Verification pending
Freshness state: computing
Source paper: HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models
PDF: https://arxiv.org/pdf/2604.19300v1
Source count: 4
Coverage: 83%
Last proof check: 2026-04-22T20:32:43.923Z
Signal Canvas receipt window
Watch and verify: HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models
/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
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/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
Freshness
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%
Hash state
Lineage hash
d7555a7055355191cf739572a371bcfcc44c1f4ccb91c27fa7c1bb614ea4e6f1
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: repo_url
25 refs / 4 sources / Verification pending
repo_url
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models
Canonical Paper Receipt
Last verification: 2026-04-22T20:32:43.923ZFreshness: fresh
Proof: unverified
Repo: missing
References: 25
Sources: 4
Coverage: 83%
- - repo_url
No unresolved unknowns recorded.
Preparing verified analysis
Dimensions overall score 7.0
GitHub Code Pulse
No public code linked for this paper yet.
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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