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Paper Citation Record · LEDGER

SpeechR: A Benchmark for Speech Reasoning in Large Audio-Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2508.02018.

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

pith.paper-citation-record.v1
2508.02018 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:18:38.646442Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 85746010-bb66-415b-a30b-0ddccb3ace45 · inbound

SARA: Stress Test Reasoning in Audio Deepfake Detection cites this paper.

SARA: Stress Test Reasoning in Audio Deepfake Detection SpeechR: A Benchmark for Speech Reasoning in Large Audio-Language Models

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-03T12:18:38.646442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:18:38.646442Z digest=sha256:a98899c5d31db6355d7d0d447d4ca9761297a7a31fb28b194d032168edb85925

Observation 04285432-bcce-4ab2-998b-15e455d8fe9a · inbound

All That Glitters Is Not Audio: Rethinking Text Priors and Audio Reliance in Audio-Language Evaluation cites this paper.

All That Glitters Is Not Audio: Rethinking Text Priors and Audio Reliance in Audio-Language Evaluation SpeechR: A Benchmark for Speech Reasoning in Large Audio-Language Models

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:16:36.152410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T17:39:38.234052Z digest=sha256:cf33a24410c3f25f40cadbaaea35601302584fa44f2e8a8330cff02c38ff57ba

Observation 567edd36-512e-46c5-aa2f-af313f8fcb0a · inbound

MIST: Multimodal Interactive Speech-based Tool-calling Conversational Assistants for Smart Homes cites this paper.

MIST: Multimodal Interactive Speech-based Tool-calling Conversational Assistants for Smart Homes SpeechR: A Benchmark for Speech Reasoning in Large Audio-Language Models

Reference 61

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:35:58.053111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T01:14:43.744389Z digest=sha256:36c5e27fd01d14ad44d7087b36b660727cfb1f90050aad9007356f1d33365998

Observation f1a9f249-e97f-4857-bfd5-2180c6cf5105 · inbound

A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook cites this paper.

A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook SpeechR: A Benchmark for Speech Reasoning in Large Audio-Language Models

Reference 196

Resolution
verified exact
arxiv_id, observed 2026-05-21T07:39:48.823258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T07:38:23.099479Z digest=sha256:ad9847e9943031a163899326ed6df9d52b39108e1235edfc0df4de005e0d2310

Observation 94866213-157c-48b7-ae26-64f2e45be034 · inbound

A Unified and Reproducible Experimentation Framework for Speech Understanding cites this paper.

A Unified and Reproducible Experimentation Framework for Speech Understanding SpeechR: A Benchmark for Speech Reasoning in Large Audio-Language Models

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T20:16:12.181582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T21:20:16.428207Z digest=sha256:6aed40308423fc81db8df67005fd1a707334b4ee35f00568b2abd8ec35d903db

Observation 7c1fcece-eac0-48ce-904a-fc6c947aa4c3 · 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 SpeechR: A Benchmark for Speech Reasoning in Large Audio-Language Models

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:17:24.540970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T19:51:59.265579Z digest=sha256:62883e0de8ea62048a3ebeb4a58ef4f4af9ca3657b7ddde2d3c5056c0a76a41a

Observation f46ce0bf-1991-48ea-916b-b04a71d377f5 · inbound

Afrispeech Semantics: Evaluating Audio Semantic Reasoning in Spoken Language Models Across Domains and Accents cites this paper.

Afrispeech Semantics: Evaluating Audio Semantic Reasoning in Spoken Language Models Across Domains and Accents SpeechR: A Benchmark for Speech Reasoning in Large Audio-Language Models

Reference 77

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T22:15:05.280366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-30T22:11:44.891731Z digest=sha256:6c63e1222ce6d17bcce0a9432909f75a7a2be79f00533dd0d84491ed53ef8771

Observation aeb736ef-143c-434c-9691-83d1071e823c · inbound

RAIL: Rethinking Auditory Intelligence in Large Audio-Language Models with a CHC-Grounded Benchmark cites this paper.

RAIL: Rethinking Auditory Intelligence in Large Audio-Language Models with a CHC-Grounded Benchmark SpeechR: A Benchmark for Speech Reasoning in Large Audio-Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-03T07:17:43.913367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T12:11:56.629002Z digest=sha256:124c1cf7014f26c9570759a48288b7633ed22efaaf82733f478eafdae65d74aa