Paper Citation Record · LEDGER

Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2401.01572.

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

pith.paper-citation-record.v1
2401.01572 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:42:55.857992Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:29:52.169335Z

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 61f5b782-c1f4-43fe-84e6-1396b4e15277 · inbound

PSRB: A Comprehensive Benchmark for Evaluating Persian ASR Systems cites this paper.

PSRB: A Comprehensive Benchmark for Evaluating Persian ASR Systems Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:42:55.857992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dff9f21b-da7e-4dcd-bcb2-c5d2d9a4127a · inbound

Addressing Pitfalls in Auditing Practices of Automatic Speech Recognition Technologies: A Case Study of People with Aphasia cites this paper.

Addressing Pitfalls in Auditing Practices of Automatic Speech Recognition Technologies: A Case Study of People with Aphasia Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T05:04:34.017211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b88d46cd-c3be-423b-8361-20d8d7d6b40d · inbound

Group Relative Policy Optimization for Speech Recognition cites this paper.

Group Relative Policy Optimization for Speech Recognition Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T12:07:21.342815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2086a53c-cd28-4c44-8134-1640c39e5fea · inbound

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling cites this paper.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:41:12.022755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4b38dd94-7224-421e-9c57-d84d07aff8db · inbound

LLMs and Speech: Integration vs. Combination cites this paper.

LLMs and Speech: Integration vs. Combination Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T10:45:28.362552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 734aa0a3-41ef-49d8-afc9-61edd7c7cbf3 · inbound

LLMs and Speech: Integration vs. Combination cites this paper.

LLMs and Speech: Integration vs. Combination Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-14T20:46:17.286576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7c30186-ca30-485f-ad3e-0621ade5414b · inbound

HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models cites this paper.

HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:31:03.447878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 82b1c253-66be-4b26-b68f-12fbe7c13af1 · inbound

Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps cites this paper.

Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:21:05.008050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4fbe7250-d4b1-4d02-8639-077b83be9e32 · inbound

Do LLM Decoders Listen Fairly? Benchmarking How Language Model Priors Shape Bias in Speech Recognition cites this paper.

Do LLM Decoders Listen Fairly? Benchmarking How Language Model Priors Shape Bias in Speech Recognition Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:31:04.621277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 44cb52da-3647-49ce-9199-13b67f492637 · inbound

Too Good to Be True: A Study on Modern Automatic Speech Recognition for the Evaluation of Speech Enhancement cites this paper.

Too Good to Be True: A Study on Modern Automatic Speech Recognition for the Evaluation of Speech Enhancement Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-13T03:47:11.725193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9eb19d64-c17f-4203-9cf5-9cd45edd0172 · inbound

HALAS: A Human-Annotated Dataset of Hallucinations of Modern ASR Systems cites this paper.

HALAS: A Human-Annotated Dataset of Hallucinations of Modern ASR Systems Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:29:52.079950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 276bd982-1927-441e-aad0-41e36bd299f1 · inbound

From Text Metrics to Model Internals: A Study of Whisper ASR Hallucination Detection cites this paper.

From Text Metrics to Model Internals: A Study of Whisper ASR Hallucination Detection Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:29:52.170748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.