Pith. sign in

Paper Citation Record · LEDGER

Everybody Sign Now: Translating Spoken Language to Photo Realistic Sign Language Video

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2011.09846.

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

pith.paper-citation-record.v1
2011.09846 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:00:21.684748Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:56:04.784494Z

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 9e114279-24ba-44b8-b31b-228a0a81f843 · inbound

Real-Time Multilingual Sign Language Processing cites this paper.

Real-Time Multilingual Sign Language Processing Everybody Sign Now: Translating Spoken Language to Photo Realistic Sign Language Video

Reference 2826

Resolution
unresolved
no resolver link, observed 2026-08-12T00:00:21.684748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:00:21.684748Z digest=sha256:121446824ffcbd3306e12ec567248e5b080f9b436dafce922fe8429a76080f84

Observation 2a8390eb-e967-4121-9956-2e208df40743 · inbound

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

Towards AI-driven Sign Language Generation with Non-manual Markers Everybody Sign Now: Translating Spoken Language to Photo Realistic Sign Language Video

Reference 129

Resolution
unresolved
no resolver link, observed 2026-08-08T18:32:28.097257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:32:28.097257Z digest=sha256:b29e7eb75cf61be2ff4d8f140e9c79ae2dd28ea23e3b5daab9f932f08f7c4abc

Observation 3c8e180d-5132-4524-bfa8-db6d3cb7034f · 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 Everybody Sign Now: Translating Spoken Language to Photo Realistic Sign Language Video

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T04:47:50.657474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:47:50.657474Z digest=sha256:c85cee0193e0ae462e5837ca0dbb74c1c70d10a08a86320a71f67e92bafbd3cd

Observation 971fc96d-4b3d-4808-8857-0bbe5b062b19 · inbound

Phonological Representation Learning for Isolated Signs Improves Out-of-Vocabulary Generalization cites this paper.

Phonological Representation Learning for Isolated Signs Improves Out-of-Vocabulary Generalization Everybody Sign Now: Translating Spoken Language to Photo Realistic Sign Language Video

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T06:00:42.460401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T06:00:42.460401Z digest=sha256:fee76895f9054619cb85834f4e9cdc447c03b4b5844ff5335b1432e731814c31

Observation 3aa8bade-94f4-4fb5-b5ab-e9f58416a350 · 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 Everybody Sign Now: Translating Spoken Language to Photo Realistic Sign Language Video

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:56:04.789181Z

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=pdf_text observed=2026-05-10T15:43:36.954114Z digest=sha256:61825e7a5d70f19a59b10d013268692e63ca5c3d74e7902a8e2e6933df7e8871