Pith. sign in

Paper Citation Record · LEDGER

YouTube-ASL: A Large-Scale, Open-Domain American Sign Language-English Parallel Corpus

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.15162.

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

pith.paper-citation-record.v1
2306.15162 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:10:18.357061Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T11:45:20.823193Z

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 2a71c64f-8505-41c0-916c-e685e364edb1 · inbound

AzSLD: Azerbaijani Sign Language Dataset for Fingerspelling, Word, and Sentence Translation with Baseline Software cites this paper.

AzSLD: Azerbaijani Sign Language Dataset for Fingerspelling, Word, and Sentence Translation with Baseline Software YouTube-ASL: A Large-Scale, Open-Domain American Sign Language-English Parallel Corpus

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T17:10:18.357061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:10:18.357061Z digest=sha256:ec140cfb44121767bf2dfa694188349ada99536c4c51665568925918dee5a2a1

Observation e7363807-05d1-476b-8ad9-56ed744893ea · inbound

Towards AI-driven Sign Language Generation with Non-manual Markers cites this paper.

Towards AI-driven Sign Language Generation with Non-manual Markers YouTube-ASL: A Large-Scale, Open-Domain American Sign Language-English Parallel Corpus

Reference 145

Resolution
unresolved
no resolver link, observed 2026-08-08T18:32:28.157628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:32:28.157628Z digest=sha256:9cd55a97931ab65f7a78ec1e4b63b2e4946c988e70ee51ecb096b1d82f986a77

Observation 5476c26b-5790-46d2-ae5c-db18ab795845 · inbound

Think in Latent Thoughts: A New Paradigm for Gloss-Free Sign Language Translation cites this paper.

Think in Latent Thoughts: A New Paradigm for Gloss-Free Sign Language Translation YouTube-ASL: A Large-Scale, Open-Domain American Sign Language-English Parallel Corpus

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:45:20.825370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-10T11:44:13.158397Z digest=sha256:9b38340a1717e7b6b7cc2fce97e871e28d8bc654e5fb3b7db053480c698163ae