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Paper Citation Record · LEDGER

What Do Speech Foundation Models Not Learn About Speech?

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.12948.

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

pith.paper-citation-record.v1
2410.12948 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:05:08.000217Z

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 e6f9e874-5a98-440f-a3b7-d35a3748549e · inbound

Unveiling the Best Practices for Applying Speech Foundation Models to Speech Intelligibility Prediction for Hearing-Impaired People cites this paper.

Unveiling the Best Practices for Applying Speech Foundation Models to Speech Intelligibility Prediction for Hearing-Impaired People What Do Speech Foundation Models Not Learn About Speech?

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T22:05:08.000217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:05:08.000217Z digest=sha256:9edea451a69eb171bd9783adff2b1a162f81695368f206b28b1f6ac7d9f82295

Observation 93adb57c-8e94-4a18-afba-f9768eeee83f · inbound

Benchmarking and Confidence Evaluation of LALMs For Temporal Reasoning cites this paper.

Benchmarking and Confidence Evaluation of LALMs For Temporal Reasoning What Do Speech Foundation Models Not Learn About Speech?

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T20:23:48.815406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:23:48.815406Z digest=sha256:221b52684928af80638da662bd54eabb08aee1160118ddacf8c60f330778a98f

Observation 40d3f00f-dc15-40de-ae50-6e4e6fbd9f3a · inbound

From Words to Waves: Analyzing Concept Formation in Speech and Text-Based Foundation Models cites this paper.

From Words to Waves: Analyzing Concept Formation in Speech and Text-Based Foundation Models What Do Speech Foundation Models Not Learn About Speech?

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:23.570722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.570722Z digest=sha256:1b0890aea4d6fddf6ceb9a699e4a2d82a5d6d470c7723253b8a24e9e77087343

Observation 999acf68-efbf-4c50-b55b-ff2897eed8a7 · inbound

Different Speech Translation Models Encode and Translate Speaker Gender Differently cites this paper.

Different Speech Translation Models Encode and Translate Speaker Gender Differently What Do Speech Foundation Models Not Learn About Speech?

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T11:32:44.635167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:32:44.635167Z digest=sha256:073b6a23084528af3628bbe74f84d24c835b83aae49419574ef4294be08d0510

Observation 67bc69b7-df09-40cf-8c2b-d0e31c101e30 · inbound

The False Resonance: A Critical Examination of Emotion Embedding Similarity for Speech Generation Evaluation cites this paper.

The False Resonance: A Critical Examination of Emotion Embedding Similarity for Speech Generation Evaluation What Do Speech Foundation Models Not Learn About Speech?

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:11:27.148970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-07T12:34:40.888089Z digest=sha256:d7b30da99b7a2b6670f33c4295253f55ac23521c47bf2644f6e4c6d2f5ad777b

Observation bbe20810-feb7-4343-9deb-7e70432ed19b · inbound

The False Resonance: A Critical Examination of Emotion Embedding Similarity for Speech Generation Evaluation cites this paper.

The False Resonance: A Critical Examination of Emotion Embedding Similarity for Speech Generation Evaluation What Do Speech Foundation Models Not Learn About Speech?

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-02T15:21:28.939831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:21:28.939831Z digest=sha256:56e5b739b3c3b130adf9f2a12bec19f14dc6a0cb17ab9a4cb3108ce1dd8265ea

Observation 56265e80-ddc4-4b0e-b825-f74c75677b90 · inbound

A framework for analyzing concept representations in neural models cites this paper.

A framework for analyzing concept representations in neural models What Do Speech Foundation Models Not Learn About Speech?

Reference 140

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:18:59.137448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-09T14:49:22.776209Z digest=sha256:5c5f1301e178463781c235b12a7a7a8d01f3bec8b6c3aebdd155b810cc7373ff