Paper Citation Record · LEDGER

AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2402.07729.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.07729 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:34:05.200834Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T14:17:10.084435Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9de28d32-1abd-42dd-a3cc-1902ce0618aa · inbound

VoiceBench: Benchmarking LLM-Based Voice Assistants cites this paper.

VoiceBench: Benchmarking LLM-Based Voice Assistants AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension

Reference 104

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:50:14.034936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation fc7e5d27-5328-4f67-afc0-0d2e03382f8a · inbound

The World is Not Mono: Enabling Spatial Understanding in Large Audio-Language Models cites this paper.

The World is Not Mono: Enabling Spatial Understanding in Large Audio-Language Models AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T17:01:07.779505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8bc80bec-426a-48d4-9f30-a2a415fd3ab0 · inbound

Mitigating Multimodal LLMs Hallucinations via Relevance Propagation at Inference Time cites this paper.

Mitigating Multimodal LLMs Hallucinations via Relevance Propagation at Inference Time AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:31:01.638215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4fb07874-fd0c-445d-8f5b-bf62d19f52bf · inbound

DuplexSLA: A Full-Duplex Spoken Language Model with Synchronized Speech, Language, and Action cites this paper.

DuplexSLA: A Full-Duplex Spoken Language Model with Synchronized Speech, Language, and Action AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-21T02:43:54.995777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 54f92202-0963-446c-b3c9-10a8abe0ae5d · inbound

DuplexSLA: A Full-Duplex Spoken Language Model with Synchronized Speech, Language, and Action cites this paper.

DuplexSLA: A Full-Duplex Spoken Language Model with Synchronized Speech, Language, and Action AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:34:57.327536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d0c51ded-a237-4e37-8afa-e567bec4833c · inbound

Audio-Mind: An Auditable Agentic Framework for Audio Understanding cites this paper.

Audio-Mind: An Auditable Agentic Framework for Audio Understanding AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-06-29T10:13:17.630607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 472e1cda-62c2-4d56-84f3-075352d87b33 · inbound

GlobeAudio: A Multilingual Multicultural Benchmark for Naturalistic Evaluation of Large Audio-Language Models cites this paper.

GlobeAudio: A Multilingual Multicultural Benchmark for Naturalistic Evaluation of Large Audio-Language Models AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:17:24.522233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a8fae2f7-38d8-4ca4-a295-b536f70a11a1 · inbound

From Sounds to Scenes: A Benchmark for Evaluating Context-Aware Auditory Scene Understanding in Large Audio Language Models cites this paper.

From Sounds to Scenes: A Benchmark for Evaluating Context-Aware Auditory Scene Understanding in Large Audio Language Models AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T20:10:07.916009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 48e0c198-d0e2-432b-8a19-31fb192418d3 · inbound

REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing cites this paper.

REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-07-07T14:53:55.855535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b4e88589-4075-4e31-82ee-d7115afe1b33 · inbound

REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing cites this paper.

REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T08:34:05.200834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94cd768e-0a03-4f15-8b22-c35b40ebdf73 · inbound

A Reliability Assessment of LALM Audio Judges for Full-Duplex Voice Agents cites this paper.

A Reliability Assessment of LALM Audio Judges for Full-Duplex Voice Agents AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-10T14:17:10.085901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.