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Paper Citation Record · LEDGER

ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2304.05934.

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

pith.paper-citation-record.v1
2304.05934 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:45:56.735970Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:04:39.200298Z

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 e1441200-36d1-4f22-b534-a5e80779c42c · 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 ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T17:10:18.341649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:10:18.341649Z digest=sha256:6f2c26f648d2b3992b5fb039b4dd4631c08b8125772f6d36dec0307ad38fdbb8

Observation a740a84c-2a51-4334-a882-5d9b3c586103 · inbound

SignBart -- New approach with the skeleton sequence for Isolated Sign language Recognition cites this paper.

SignBart -- New approach with the skeleton sequence for Isolated Sign language Recognition ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T19:45:56.735970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:45:56.735970Z digest=sha256:fb83ab765e5773299dfa4c7d03ac60762b8364d90af2db1757c0f5e0495d96a1

Observation 6282190d-a18f-4b77-b16f-7565b17a1231 · inbound

Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition cites this paper.

Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:49.999833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:49.999833Z digest=sha256:4c57c284c85243ce0523924188fe99ae0d43b7c83774b334e0d071e7b38152e7

Observation bd43c803-62ba-4695-ab1f-81d309005e83 · inbound

Phonological Perception of Sign Language Models cites this paper.

Phonological Perception of Sign Language Models ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:04:39.201730Z

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=2026-06-30T10:19:58.109639Z digest=sha256:eb5680c8fdaf76131a45ec734a28ac1d030e5f6fe6d3469caa628ec48c5db6c8