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Paper Citation Record · LEDGER

Empowering the Deaf and Hard of Hearing Community: Enhancing Video Captions Using Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.00342.

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

pith.paper-citation-record.v1
2412.00342 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:36:19.462822Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T23:35:45.740450Z

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 57305fdf-2410-4070-ac31-ab4b70f15637 · inbound

AccessGuru: Leveraging LLMs to Detect and Correct Web Accessibility Violations in HTML Code cites this paper.

AccessGuru: Leveraging LLMs to Detect and Correct Web Accessibility Violations in HTML Code Empowering the Deaf and Hard of Hearing Community: Enhancing Video Captions Using Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T14:36:19.462822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:19.462822Z digest=sha256:5af3186c0241679478b32625ef3529bcd13158f9550bf262018d465459a3ba04

Observation 8e71bd0f-65a8-4abc-ba57-d9de7bac011b · inbound

Non-Intrusive Automatic Speech Recognition Refinement: A Survey cites this paper.

Non-Intrusive Automatic Speech Recognition Refinement: A Survey Empowering the Deaf and Hard of Hearing Community: Enhancing Video Captions Using Large Language Models

Reference 186

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:35:45.743540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T23:34:52.249143Z digest=sha256:7e74d7e8115474cdfa20e8aa7a967f5608553e07316aa5848c6dfe50225266a1