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Paper Citation Record · LEDGER

Speech Robust Bench: A Robustness Benchmark For Speech Recognition

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.07937.

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

pith.paper-citation-record.v1
2403.07937 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:22:34.865850Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T11:13:20.727990Z

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 20219ee9-5565-425d-80c8-3895efb66f6e · inbound

AHELM: A Holistic Evaluation of Audio-Language Models cites this paper.

AHELM: A Holistic Evaluation of Audio-Language Models Speech Robust Bench: A Robustness Benchmark For Speech Recognition

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T14:22:34.865850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:22:34.865850Z digest=sha256:951fe49aeed30d291be079c4c8d91dbc06e86af84d4e1ee0504342dad7bc92e1

Observation d7807f98-0e56-4b1b-95da-c294049409d6 · inbound

Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs cites this paper.

Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs Speech Robust Bench: A Robustness Benchmark For Speech Recognition

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:51:17.795119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-16T21:49:21.785096Z digest=sha256:8979b6315180f1cc8e2327f5920c4fea50d9f54c3996bd1c6f68463b94ec7f86

Observation 0b3e586e-9eaa-423d-b2de-ed0ae80210a9 · inbound

SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise cites this paper.

SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise Speech Robust Bench: A Robustness Benchmark For Speech Recognition

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:50:22.438515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T22:47:12.521942Z digest=sha256:7fea07b39ca3d0c48430042e3f282486dc0f346ac4e9070c256449e910b86412

Observation 71d6b53d-0ead-4526-89c4-7c45c61b5d6b · inbound

SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise cites this paper.

SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise Speech Robust Bench: A Robustness Benchmark For Speech Recognition

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-02T23:47:00.847858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:47:00.847858Z digest=sha256:a70bc75776c56a1facccb8b5b84ea93ba4c3e82bc49c0683890e0849a4b7ee1f

Observation 4f63f96b-d867-4c6d-90b4-31f42e97d1d3 · inbound

ReasonBreak: Probing Vulnerabilities in Reasoning-Enabled Vision-Language-Action Models for Autonomous Driving cites this paper.

ReasonBreak: Probing Vulnerabilities in Reasoning-Enabled Vision-Language-Action Models for Autonomous Driving Speech Robust Bench: A Robustness Benchmark For Speech Recognition

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T11:13:20.729538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T11:10:46.269185Z digest=sha256:251743917524306be9b4316a826018ca6aabd1c37bbed11795c8d637d63bf68b

Observation a6e2fb60-11ed-4d4f-b188-75f745b4a8b4 · inbound

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems cites this paper.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems Speech Robust Bench: A Robustness Benchmark For Speech Recognition

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.709027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.709027Z digest=sha256:ae339ba2796feaca207b8f4a7b4d134326e46324715d381b4fde08fea95f388f