Pith. sign in

Paper Citation Record · LEDGER

Quantitative Survey of the State of the Art in Sign Language Recognition

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2008.09918.

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

pith.paper-citation-record.v1
2008.09918 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:13:19.022870Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T04:55:23.623045Z

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 b0fedbe0-a361-4b67-9984-de6c112eb45c · inbound

Discrete to Continuous: Generating Smooth Transition Poses from Sign Language Observation cites this paper.

Discrete to Continuous: Generating Smooth Transition Poses from Sign Language Observation Quantitative Survey of the State of the Art in Sign Language Recognition

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T13:16:00.449596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:16:00.449596Z digest=sha256:63eee5c72c787c20e201d1b384913bb258e0420eaf29de52b2668455ead70151

Observation 645d55b1-6f29-4843-b478-22a0c0826c13 · inbound

Sign-IDD: Iconicity Disentangled Diffusion for Sign Language Production cites this paper.

Sign-IDD: Iconicity Disentangled Diffusion for Sign Language Production Quantitative Survey of the State of the Art in Sign Language Recognition

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T13:01:56.128412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:01:56.128412Z digest=sha256:44875a118e5a1bad3542b7a953c73506be530517bd9d80690769a165b3446baf

Observation bb5a8176-b9ab-4f48-bf68-d7ff02e154ec · inbound

Transfer Learning from Visual Speech Recognition to Mouthing Recognition in German Sign Language cites this paper.

Transfer Learning from Visual Speech Recognition to Mouthing Recognition in German Sign Language Quantitative Survey of the State of the Art in Sign Language Recognition

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.022870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.022870Z digest=sha256:d6ff95e7e005a32109ba7c3230a15e4873a0124a40f2b0d178151100ee968259

Observation 35b789cd-d4bb-4d33-b693-c277b97c3f07 · inbound

StgcDiff: Spatial-Temporal Graph Condition Diffusion for Sign Language Transition Generation cites this paper.

StgcDiff: Spatial-Temporal Graph Condition Diffusion for Sign Language Transition Generation Quantitative Survey of the State of the Art in Sign Language Recognition

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:18.529061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:18.529061Z digest=sha256:554eaba032a5ef6b34aab2b502ac530853c6b019b84ef073fc65046eca6ea781

Observation b3428d75-cb53-458a-aacb-7725b5feb8c3 · inbound

Bringing Balance to Hand Shape Classification: Mitigating Data Imbalance Through Generative Models cites this paper.

Bringing Balance to Hand Shape Classification: Mitigating Data Imbalance Through Generative Models Quantitative Survey of the State of the Art in Sign Language Recognition

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T15:03:48.611672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:48.611672Z digest=sha256:c2ab32958d25d91245b7e74c319776298b730a682a889adf0a679b87e31d2591

Observation 727599fd-dca4-41f8-a2db-3d8f88c3a004 · inbound

The Importance of Facial Features in Vision-based Sign Language Recognition: Eyes, Mouth or Full Face? cites this paper.

The Importance of Facial Features in Vision-based Sign Language Recognition: Eyes, Mouth or Full Face? Quantitative Survey of the State of the Art in Sign Language Recognition

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T13:16:01.387968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:16:01.387968Z digest=sha256:d58ece2709b6a9ca20909a8f435a1943c8dabb909d97d7108de49b14c96f1c82

Observation b69300d8-90a9-49e5-a5df-4e04d5944f19 · inbound

VGGT-HPE: Reframing Head Pose Estimation as Relative Pose Prediction cites this paper.

VGGT-HPE: Reframing Head Pose Estimation as Relative Pose Prediction Quantitative Survey of the State of the Art in Sign Language Recognition

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:21:01.597418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T16:04:46.612294Z digest=sha256:ba3e100c1fa936840bc6b151cd6efd8ca118b996aa55f13877d3034a914dabcf

Observation d43af086-e121-4209-a06c-f9a16a144863 · 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 Quantitative Survey of the State of the Art in Sign Language Recognition

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:56:04.770735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T15:43:36.954114Z digest=sha256:b0bf6eeca32bec0b05b198786348b35cf4370da04734f62362c7a1e3e7766941

Observation fda07174-c24f-4b2d-a230-c0eff0d22a10 · inbound

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

SIGMA-ASL: Sensor-Integrated Multimodal Dataset for Sign Language Recognition Quantitative Survey of the State of the Art in Sign Language Recognition

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:06:11.252167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-08T07:04:47.169148Z digest=sha256:c9e95c942045aba0f27d97cbad2708ce8ac1ece44fc7a3cb0e892ac95258f46a

Observation 1cb3fa75-0bc4-4c2d-89cc-e00a400bb3d2 · inbound

Emotion Recognition in Sign Language Conversation cites this paper.

Emotion Recognition in Sign Language Conversation Quantitative Survey of the State of the Art in Sign Language Recognition

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:55:23.626235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-25T04:52:41.981616Z digest=sha256:86e9c709444bcdfca02aecb303e4db76905bcc9158b3b0335b73307b96ab3e81

Observation b7f425e7-0f41-4cbb-9807-898d3dd43291 · inbound

Sign Language Recognition Using Original and Synthetic Depth Image Based Point Cloud Data Models cites this paper.

Sign Language Recognition Using Original and Synthetic Depth Image Based Point Cloud Data Models Quantitative Survey of the State of the Art in Sign Language Recognition

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T18:01:49.511890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:01:49.511890Z digest=sha256:d1187ef7d497d0886f6ce4d4df347e899410df53a477fc6dabcbf4a85da1044e

Observation cf462185-3082-4f46-87b2-5d987a4b7adc · inbound

Gloss-Free Representation Learning for Cross-Dataset Sign Spotting cites this paper.

Gloss-Free Representation Learning for Cross-Dataset Sign Spotting Quantitative Survey of the State of the Art in Sign Language Recognition

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T14:18:33.274733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:18:33.274733Z digest=sha256:ce9a3dcf514c15be95720db5be8f2abf5fff063036d34d99c25a2083a2960cd4