Pith. sign in

Paper Citation Record · LEDGER

MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1812.01053.

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

pith.paper-citation-record.v1
1812.01053 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:32:27.891782Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:15:44.325854Z

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 5958738e-61fd-48fd-a616-0e809911afed · inbound

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

Towards AI-driven Sign Language Generation with Non-manual Markers MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-08T18:32:27.891782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:32:27.891782Z digest=sha256:7d62dc5ddf299b784979f15a645c595cf79938f5c7c3367c12f5a6c89f0299ce

Observation a02217cc-b16e-4af1-a124-4d5703e17078 · inbound

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language cites this paper.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:01.229565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:01.229565Z digest=sha256:5d5ef58e9d203531f1a2e281d4e15bf703abf8148775f43f34df6c84b8578bb6

Observation 902471f8-65d0-4903-a1d7-80f3f770c30b · inbound

Using Sign Language Production as Data Augmentation to enhance Sign Language Translation cites this paper.

Using Sign Language Production as Data Augmentation to enhance Sign Language Translation MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T04:47:50.557439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:47:50.557439Z digest=sha256:0e1a5b06eda0e43f745cc5b854820a0bc67fedbb9aea2e9fd1c6a7658e7dbd13

Observation aecef1c4-18dd-41af-897c-3d2e89102f2f · inbound

Visual Hand Gesture Recognition with Deep Learning: A Comprehensive Review of Methods, Datasets, Challenges and Future Research Directions cites this paper.

Visual Hand Gesture Recognition with Deep Learning: A Comprehensive Review of Methods, Datasets, Challenges and Future Research Directions MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-19T05:57:07.899255Z

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.

source=arxiv_source observed=2026-05-19T05:56:56.219634Z digest=sha256:8cb22c3126d999e2b979f324599589d6220a3ef122fa2e51afdc98a5b7fd82f7

Observation 7779a71b-f1fc-4ed9-aa01-e9c8df851f25 · inbound

Sign Language Recognition in the Age of LLMs cites this paper.

Sign Language Recognition in the Age of LLMs MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:11:14.857010Z

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.

source=pdf_text observed=2026-05-10T15:35:16.922337Z digest=sha256:a64c7c3ab13b0ddb853c3fa5057685b729a2b42d69098ef64d7815f6650c4312

Observation e3bfc151-2414-4ba1-8e59-7d1fd0d7acc8 · inbound

CanonSLR: Canonical-View Guided Multi-View Continuous Sign Language Recognition cites this paper.

CanonSLR: Canonical-View Guided Multi-View Continuous Sign Language Recognition MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:38:43.209252Z

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.

source=pdf_text observed=2026-05-10T05:10:54.577855Z digest=sha256:85e158ed1ca6d2f4b8bf82d6aaf87ce79fa1a2a553c79a90fca9f34aefd3e90d

Observation 68a6b5dd-e78e-4dfa-ac93-3fd68dfacbb8 · inbound

SignVerse-2M: A Two-Million-Clip Pose-Native Universe of 55+ Sign Languages cites this paper.

SignVerse-2M: A Two-Million-Clip Pose-Native Universe of 55+ Sign Languages MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T09:56:04.761209Z

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.

source=pdf_text observed=2026-05-10T15:43:36.954114Z digest=sha256:764c7e666b764fcf575f5192ffff7d94b6ddf114e67f5011fc90b3c251529f18

Observation 67590763-0f1e-4fb1-8618-39d38d96c220 · inbound

SIGMA-ASL: Sensor-Integrated Multimodal Dataset for Sign Language Recognition cites this paper.

SIGMA-ASL: Sensor-Integrated Multimodal Dataset for Sign Language Recognition MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:06:11.241332Z

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.

source=pdf_text observed=2026-05-08T07:04:47.169148Z digest=sha256:d30d04826ffd02eebfe9ecd1e275d21388f2b8bf3de61147299c3083b9ba7422

Observation 4e4ea658-e208-48a4-8be9-0027f9902456 · inbound

Sign-Language Datasets at Scale: A Comprehensive Survey on Resources, Benchmarks, and Annotation Standards cites this paper.

Sign-Language Datasets at Scale: A Comprehensive Survey on Resources, Benchmarks, and Annotation Standards MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language

Reference 197

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:15:44.328869Z

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.

source=arxiv_source observed=2026-07-01T09:09:51.055117Z digest=sha256:49c65df4d022d50b9ab9e888ed00b7aee89c7e60970dd005773cf930e612752e