Pith. sign in

Paper Citation Record · LEDGER

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition

As of 9 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 1 inbound Pith citation observation for arXiv:2506.03615.

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

pith.paper-citation-record.v1
2506.03615 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:02:46.292580Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:12:00.764293Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T21:12:03.882117Z

Reference resolution

71 of 71 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7d211969-eee6-457a-938f-98e7e7ac4d42 · outbound

This paper cites https://www.who.int/news- room/fact-sheets/detail/deafness-and-hearing-loss.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition https://www.who.int/news- room/fact-sheets/detail/deafness-and-hearing-loss

Reference 1

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Observation 0226e096-4262-4061-a28b-e6c808439819 · outbound

This paper cites A Com- prehensive Study on Deep Learning-based Methods for Sign Language Recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition A Com- prehensive Study on Deep Learning-based Methods for Sign Language Recognition

Reference 2

Resolution
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Observation 9a3be0d3-5882-41ab-b302-c4e5e638a3bc · outbound

This paper cites an unresolved cited work.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Unresolved cited work

Reference 3

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Observation 883417d5-48b9-4b18-b4d1-9a9f93f2913c · outbound

This paper cites BSL-1K: Scaling Up Co-articulated Sign Language Recognition Using Mouthing Cues.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition BSL-1K: Scaling Up Co-articulated Sign Language Recognition Using Mouthing Cues

Reference 4

Resolution
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Observation 90367f3a-e597-451d-82e4-de5964468f3a · outbound

This paper cites BBC-Oxford British Sign Language Dataset.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition BBC-Oxford British Sign Language Dataset

Reference 5

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Observation d5058e50-4a0a-4740-9c27-65f1579a47ee · outbound

This paper cites Swin-mstp: Swin transformer with multi-scale temporal percep- tion for continuous sign language recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Swin-mstp: Swin transformer with multi-scale temporal percep- tion for continuous sign language recognition

Reference 6

Resolution
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Observation 0379d4f5-7781-4a4b-9917-46c4d16cdead · outbound

This paper cites Reviewing 25 years of continuous sign language recognition research: Advances, challenges, and prospects.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Reviewing 25 years of continuous sign language recognition research: Advances, challenges, and prospects

Reference 7

Resolution
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Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Unresolved cited work

Reference 8

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Observation 6a4f0d35-f678-4ea2-999d-1f00de05e82b · outbound

This paper cites Neural Sign Language Translation.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Neural Sign Language Translation

Reference 9

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Observation fcc9b46a-6d87-4ca6-b88b-c26e54a11753 · outbound

This paper cites Sign language transformers: Joint end-to-end sign language recognition and trans- lation.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Sign language transformers: Joint end-to-end sign language recognition and trans- lation

Reference 10

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Observation 9d913f82-b0d4-4f48-b352-e5ff6762e29e · outbound

This paper cites Content4all open research sign language translation datasets.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Content4all open research sign language translation datasets

Reference 11

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Observation d744ccef-f0ea-48d1-bb02-cb1859297210 · outbound

This paper cites Two-stream network for sign language recognition and translation.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Two-stream network for sign language recognition and translation

Reference 12

Resolution
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Observation 2c952a47-0b45-4901-b1cb-64524b75cf3e · outbound

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Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Unresolved cited work

Reference 13

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Observation 3c518a9f-52ff-4754-9dc4-a4f3fa0226c5 · outbound

This paper cites Enhanced elan func- tionality for sign language corpora.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Enhanced elan func- tionality for sign language corpora

Reference 14

Resolution
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Observation 208e88a3-6b82-4b57-a919-4c98a0ba5608 · outbound

This paper cites Spatial–temporal transformer for end-to-end sign language recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Spatial–temporal transformer for end-to-end sign language recognition

Reference 15

Resolution
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Source-reported events for the cited work

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Observation 0fbc3340-810c-470c-b3bc-a0b4fd70742e · outbound

This paper cites Enhancing a sign language translation system with vision-based features.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Enhancing a sign language translation system with vision-based features

Reference 16

Resolution
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Observation fbba5c10-276b-47f6-8109-71e2b79b7528 · outbound

This paper cites How2sign: a large-scale multimodal dataset for continuous ameri- can sign language.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition How2sign: a large-scale multimodal dataset for continuous ameri- can sign language

Reference 17

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Source-reported events for the cited work

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Observation 6ea9b15f-72b8-45fb-8f37-2e7c512ef76f · outbound

This paper cites A com- prehensive survey and taxonomy of sign language re- search.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition A com- prehensive survey and taxonomy of sign language re- search

Reference 18

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Source-reported events for the cited work

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Observation bbb2b628-f745-430c-8308-a44e438c7cea · outbound

This paper cites Jumla-qsl-22: A novel qatari sign language continuous dataset.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Jumla-qsl-22: A novel qatari sign language continuous dataset

Reference 19

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Observation f0f252da-9fc5-4d72-8072-7568aad3a4c5 · outbound

This paper cites A comprehensive survey on arabic text augmentation: approaches, challenges, and applications.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition A comprehensive survey on arabic text augmentation: approaches, challenges, and applications

Reference 20

Resolution
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Observation cefec7df-e1f5-4c42-a596-65f0e911fdba · outbound

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Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Unresolved cited work

Reference 21

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Observation efd84fb5-d183-470b-966a-19ef765681d3 · outbound

This paper cites Llms are good sign language trans- lators.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Llms are good sign language trans- lators

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7ae74447-088a-4f8a-b504-ff7c40ca414b · outbound

This paper cites Distill- ing cross-temporal contexts for continuous sign lan- guage recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Distill- ing cross-temporal contexts for continuous sign lan- guage recognition

Reference 23

Resolution
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Source-reported events for the cited work

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Observation cf14139c-5c3a-488c-b8c1-135d5e71b848 · outbound

This paper cites Self- Mutual Distillation Learning for Continuous Sign Language Recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Self- Mutual Distillation Learning for Continuous Sign Language Recognition

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7b2e4114-dbd6-4f76-abef-05747df82b8a · outbound

This paper cites Collaborative Multilingual Continuous Sign Lan- guage Recognition: A Unified Framework.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Collaborative Multilingual Continuous Sign Lan- guage Recognition: A Unified Framework

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cabd1e4b-e47c-4907-9a88-c351c574f9ce · outbound

This paper cites Prior-Aware Cross Modality Aug- mentation Learning for Continuous Sign Language Recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Prior-Aware Cross Modality Aug- mentation Learning for Continuous Sign Language Recognition

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5c255539-26dd-4c32-b6fb-50a4d5b55f9a · outbound

This paper cites Temporal lift pooling for continuous sign language recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Temporal lift pooling for continuous sign language recognition

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 789f8d4c-5ad7-477e-8355-05a009b44be5 · outbound

This paper cites Continuous sign language recognition with correlation network.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Continuous sign language recognition with correlation network

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 24c8e0a2-566d-4248-a605-b1001e00caa7 · outbound

This paper cites Self-emphasizing network for continuous sign lan- guage recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Self-emphasizing network for continuous sign lan- guage recognition

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.726645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 96d68438-a881-4536-bcb1-0ba445659b7e · outbound

This paper cites Adabrowse: Adaptive video browser for efficient continuous sign language recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Adabrowse: Adaptive video browser for efficient continuous sign language recognition

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9c9c387e-f692-4700-9b4e-b5de972684ac · outbound

This paper cites Scalable frame resolution for efficient continuous sign language recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Scalable frame resolution for efficient continuous sign language recognition

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 742dfe3e-0a0c-4bf7-b594-879724a50986 · outbound

This paper cites Video-based sign language recogni- tion without temporal segmentation.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Video-based sign language recogni- tion without temporal segmentation

Reference 32

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cea87630-549f-49bd-960e-ff2afbecce17 · outbound

This paper cites Publishing DGS corpus data: Different Formats for Different Needs.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Publishing DGS corpus data: Different Formats for Different Needs

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.691003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.185222Z digest=sha256:0ede5cb662df1a3b13498ebcef4b666241a9809a6c8c17739870d198a10d607c

Observation dce40188-a29c-4c49-bd08-30cc0490f49f · outbound

This paper cites Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language Recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language Recognition

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T11:02:46.187920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:02:46.187920Z digest=sha256:8e0b80e708f2348cee543bc9e0da78cc8e7bf5fb66d0cc43d84c2fa02b0258d6

Observation 72b232f2-37df-45ca-ab6e-298e6bc06587 · outbound

This paper cites Self-sufficient framework for contin- uous sign language recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Self-sufficient framework for contin- uous sign language recognition

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.681764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.190793Z digest=sha256:57ad7e8ead8a8f7e84b98649c8dd0488f2dab4cb80a8f23923a59c9dac1d5634

Observation 4234c7ae-95fd-4089-9694-32a1acf7f18a · outbound

This paper cites Cosign: Exploring co-occurrence signals in skeleton-based continuous sign language recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Cosign: Exploring co-occurrence signals in skeleton-based continuous sign language recognition

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.672177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.193576Z digest=sha256:9045dde0daf8ef330638b6d7f22dafb331310752f9f19dfc33b09d437cc6cf90

Observation e7c01f8d-259a-4e17-8747-05cc9dddef3a · outbound

This paper cites CoSign: Exploring Co-occurrence Signals in Skeleton-based Continuous Sign Language Recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition CoSign: Exploring Co-occurrence Signals in Skeleton-based Continuous Sign Language Recognition

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.662918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.196153Z digest=sha256:fb9017cb7770dd70be73d5f008c3a51e3363b27190b73f2015021b97ad9660bc

Observation 76443ee7-556a-4aa1-a433-e0bd26b4d88c · outbound

This paper cites TheRuSLan: Database of Russian sign language.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition TheRuSLan: Database of Russian sign language

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.652367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.198785Z digest=sha256:e3c887b9f2f8abe7bc5835e48d665ea6f225554e430610655aa5f946e0a1bdab

Observation 98618ec6-f222-499a-afaf-d9a5ef81db0d · outbound

This paper cites Contin- uous sign language recognition: Towards large vocab- ulary statistical recognition systems handling multiple signers.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Contin- uous sign language recognition: Towards large vocab- ulary statistical recognition systems handling multiple signers

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.642753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.201353Z digest=sha256:722aeccc6e6daf759548be561e46c9303c1cfcc879e8ce0ab82cee74621b0490

Observation 28ef0e80-6d6c-4478-9207-596609bdc5e7 · outbound

This paper cites Sign boundary and hand articulation feature recognition in sign language videos.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Sign boundary and hand articulation feature recognition in sign language videos

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.631924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.204041Z digest=sha256:ea15eed7b5df2a29bd36a361f9a5434884d36bdd8464ef2209201241cd06d47c

Observation d8c0c992-84cb-409c-9ca7-8cbc72ffb0f8 · outbound

This paper cites Isolated sign lan- guage recognition based on tree structure skeleton im- ages.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Isolated sign lan- guage recognition based on tree structure skeleton im- ages

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.621404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.206753Z digest=sha256:14aa08649d8f47c3a83185d1164b5443ff4d0880fd1fee68fec352ff455597f5

Observation dafc3387-ee1e-475a-9598-58283a0f3fad · outbound

This paper cites Word-level deep sign language recognition from video: A new large-scale dataset and methods comparison.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Word-level deep sign language recognition from video: A new large-scale dataset and methods comparison

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.611251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.209303Z digest=sha256:ae040396ded37d95062f510d03b374020570444b9ca6ff2abd8622a7ccf9646a

Observation 25c17659-2c99-45c9-86a0-4267a8183e08 · outbound

This paper cites Tsp- net: hierarchical feature learning via temporal seman- tic pyramid for sign language translation.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Tsp- net: hierarchical feature learning via temporal seman- tic pyramid for sign language translation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.602245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.212501Z digest=sha256:145b0cdad87130bc93d7c077637cea221dcc631bb1b714a1f9d2a8e248a4ab97

Observation 0cbc6bda-70c0-41e7-bc40-2775fe17d7ef · outbound

This paper cites Multi-View Spatial-Temporal Network for Continuous Sign Language Recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Multi-View Spatial-Temporal Network for Continuous Sign Language Recognition

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T11:02:46.215499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:02:46.215499Z digest=sha256:f01305d6e498211c22140983ec89b3139ef43d52b0eaa32b9f4edd97a2f0e87b

Observation d4d41dd4-a648-4ef3-a8ce-5ebe21b67374 · outbound

This paper cites Arabsign: A multi-modality dataset and benchmark for continuous arabic sign language recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Arabsign: A multi-modality dataset and benchmark for continuous arabic sign language recognition

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.593343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.218525Z digest=sha256:87a3a438477fa5cf8ce302b0ec381252123069e8177c04bdd90c0a90aa350458

Observation be6ab73b-894b-4667-b548-ed03383af1b2 · outbound

This paper cites Automatic translation of arabic text-to-arabic sign language.Uni- versal Access in the Information Society , 18(4):939– 951, 2019.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Automatic translation of arabic text-to-arabic sign language.Uni- versal Access in the Information Society , 18(4):939– 951, 2019

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.584435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.221411Z digest=sha256:46ef72a08144a3422d7c82019740c2282b4283d25f7ada6952532172f46f9d86

Observation 3572d02a-e982-4a51-bbc8-02e559709997 · outbound

This paper cites Visual alignment constraint for continuous sign language recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Visual alignment constraint for continuous sign language recognition

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.575363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.224122Z digest=sha256:971f5d6227bc3727c9491d8cc79e8a1b8b16e8eb32d24c75b4fe0bbe9e97f323

Observation b305845e-e52f-43d6-9b51-3b079baefff1 · outbound

This paper cites FluentSigners-50: A signer independent benchmark dataset for sign language pro- cessing.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition FluentSigners-50: A signer independent benchmark dataset for sign language pro- cessing

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.566965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.226883Z digest=sha256:a9d4a5e54880d3497058b9de7d663412666581e30eda280a20880d2b7b13e3a4

Observation d1c5638f-6656-4c35-ae40-acef72bf43df · outbound

This paper cites A Hong Kong Sign Language corpus collected from sign-interpreted TV news.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition A Hong Kong Sign Language corpus collected from sign-interpreted TV news

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.558419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.229726Z digest=sha256:3cb0c0c731e2d5ad902fa7529e96258c72924022bbaf51a515e49719fbd986ea

Observation d40b2d2c-84d4-465b-bfb1-829bbe38b6d1 · outbound

This paper cites Dilated convolutional network with iterative optimization for continuous sign language recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Dilated convolutional network with iterative optimization for continuous sign language recognition

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.549381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.232465Z digest=sha256:e3ba42eebeaa97cea3be131eb84f7b82405f235f2c6a8318126aeb4b91557cde

Observation 2557aaca-bfe0-43dd-ad3f-eaf559bb9191 · outbound

This paper cites Itera- tive alignment network for continuous sign language recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Itera- tive alignment network for continuous sign language recognition

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.540454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.234948Z digest=sha256:f98651e165438e39a06d72c8f1238bda9832af16de6df20a6d1c9b0aa9416dc8

Observation 4e05170d-73b4-41d3-9f84-5d0eb15a4841 · outbound

This paper cites LSA64 : An Argentinian Sign Language Dataset.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition LSA64 : An Argentinian Sign Language Dataset

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.531569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.237855Z digest=sha256:d425b2b375766f1e3dcdcba23cd75164f2c2f0fef4a6c99bff0733fccaae9c78

Observation 8d9292bd-711d-4ff2-aea0-3ba694e9ebc1 · outbound

This paper cites Auslan-daily: Australian sign lan- guage translation for daily communication and news.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Auslan-daily: Australian sign lan- guage translation for daily communication and news

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.522642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.240768Z digest=sha256:e833ba278f69a372b2ee11fb85ead78471eb7b35c0b54999795021c2fbf511c1

Observation 4b5ca7ae-be6d-4b00-818f-cd44c8d99468 · outbound

This paper cites Open-Domain Sign Language Translation Learned from Online Video.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Open-Domain Sign Language Translation Learned from Online Video

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T11:02:46.243889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:02:46.243889Z digest=sha256:eecc4f0a2295f98ae04cbed9369094a6d2ccf3f29e85386f89a0632d48e57376

Observation f6332c4c-8c14-48f8-be0e-da2afa90257c · outbound

This paper cites Sidig, Hamzah Luqman, Sabri Mah- moud, and Mohamed Mohandes.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Sidig, Hamzah Luqman, Sabri Mah- moud, and Mohamed Mohandes

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.513090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.247078Z digest=sha256:2cad4633d2d657b40786ffa1b68e2e20282309aa44cf7cffebfff39e70adda9c

Observation f4cbf33f-31f4-474b-84d4-5cf6c4583139 · outbound

This paper cites AUTSL: A large scale multi-modal Turkish sign lan- guage dataset and baseline methods.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition AUTSL: A large scale multi-modal Turkish sign lan- guage dataset and baseline methods

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.504377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.249862Z digest=sha256:c98cc0f31d7cb457895c5ea7f417938ba03a3edb400c1c40ac594d2f6f327442

Observation 42db225b-8bd8-4c0f-9fc3-365cd8802b1b · outbound

This paper cites Towards a Video Corpus for Signer-Independent Continuous Sign Language Recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Towards a Video Corpus for Signer-Independent Continuous Sign Language Recognition

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.495781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.252804Z digest=sha256:db40a43afe5315d22f7b0abddab1b47856afb2f9b9199b333ef76c24c873c703

Observation 50f1795b-dec1-473f-ae97-3af9839ad9f9 · outbound

This paper cites Improving continuous sign language recognition with cross-lingual signs.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Improving continuous sign language recognition with cross-lingual signs

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.486420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.255468Z digest=sha256:72b9cb41a199937b3397ff99840809e80a27342c35e4c571a947544031f031ac

Observation 07e5aa87-3f0e-4d61-a0dd-98a2eb968a56 · outbound

This paper cites Sign2GPT: Leveraging large language models for gloss-free sign language translation.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Sign2GPT: Leveraging large language models for gloss-free sign language translation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.477941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.258253Z digest=sha256:eadc37d7e3cffb916d8f8b62b130d5c2d5e7c437a17ac34c90a70832b49b5f78

Observation 10545a23-1e18-4d5c-b547-e679387b218e · outbound

This paper cites Multi-scale local- temporal similarity fusion for continuous sign lan- guage recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Multi-scale local- temporal similarity fusion for continuous sign lan- guage recognition

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.467301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.261505Z digest=sha256:6a2a31ce977604f2c2fc73f956358ace7dd3893221e85294e5d0e1e8cab281b8

Observation f1092ef6-0e8d-45f6-8690-9169ad573648 · outbound

This paper cites SF-Net: Structured Feature Network for Continuous Sign Language Recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition SF-Net: Structured Feature Network for Continuous Sign Language Recognition

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.457739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.264109Z digest=sha256:fd7b6a63996608c3f2dc88bf8fe58056453d07e563fab3b9bd1651788d85490b

Observation 193688b9-c9f2-47e5-9e22-538e041cb1c6 · outbound

This paper cites Improving gloss-free sign language translation by reducing representation density.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Improving gloss-free sign language translation by reducing representation density

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.448070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.266719Z digest=sha256:71bae04c74de099f4bc9f3c3322279a9afdcfbea063af24bc395efdcf18b539c

Observation 12262952-42a3-44fd-bca6-c508738054a0 · outbound

This paper cites Gloss attention for gloss-free sign language translation.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Gloss attention for gloss-free sign language translation

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.439126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.269370Z digest=sha256:ef4e9a68dd6baadec9abd77003f65bf942ed8ac4e83aa9d38381165c85a9e6e9

Observation 437c5347-9166-4a76-a441-c8b6a392c1ec · outbound

This paper cites C2ST: Cross-modal Contextualized Se- quence Transduction for Continuous Sign Language Recognition.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition C2ST: Cross-modal Contextualized Se- quence Transduction for Continuous Sign Language Recognition

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.429758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.272175Z digest=sha256:cf9871118c2edaf037245ee97404854391ad12310a0eb0507cdfc133b1848304

Observation 63136445-bdb1-470c-bd32-575600378b1d · outbound

This paper cites Conditional sentence generation and cross-modal reranking for sign lan- guage translation.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Conditional sentence generation and cross-modal reranking for sign lan- guage translation

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.420516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.274777Z digest=sha256:df7f92edede5545cf8d1f46f18b27caa833e1d8cf7e5fc0d44a91141a9c5edce

Observation 2b460496-647d-4e62-b38b-a24f2c1f65ca · outbound

This paper cites Cvt-slr: Contrastive visual-textual transformation for sign lan- guage recognition with variational alignment.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Cvt-slr: Contrastive visual-textual transformation for sign lan- guage recognition with variational alignment

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.411010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.277504Z digest=sha256:fa6708015058f39cdbfb75f93b8002f9d8aa16ddfb95a775eb93dbc4f94a27cc

Observation a3886775-bb5a-469d-b4f7-b66320686242 · outbound

This paper cites an unresolved cited work.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:02:46.401291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.280610Z digest=sha256:0c0c0dbc4c7931876dcc55db1e8445e4e933bef5b5fc07cf8e3fbd623e7480c2

Observation 5edbf7cc-4f02-418a-adae-7aa10be8872a · outbound

This paper cites an unresolved cited work.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:02:46.392274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 55968387-3f71-4f87-ba09-400c453bbb55 · outbound

This paper cites Spatial-temporal multi-cue network for sign lan- guage recognition and translation.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Spatial-temporal multi-cue network for sign lan- guage recognition and translation

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.373026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.289592Z digest=sha256:a630cbaee6fe65acccd131a4931e565654eb675d04b94ec50961472a054ffe53

Observation a3480026-4361-4c00-8189-5a31eedf15b1 · outbound

This paper cites Improving continuous sign language recognition with consistency constraints and signer removal.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition Improving continuous sign language recognition with consistency constraints and signer removal

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.363154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.292580Z digest=sha256:934f8857f59199e5d06b7ea81cf69c4dc0b212597f59ea66d49062156c4963a3

Observation be9c155b-e5ad-46ea-92f3-d61bc73da8b4 · outbound

This paper cites 2, 3, 4, 6, 8.

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition 2, 3, 4, 6, 8

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:02:46.381922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:02:46.286382Z digest=sha256:c267f59b01e850a528a392dee19c711e1d30809b8900e09887d3c36365251a9b

Pith citing papers

Observation 75fcd9e6-99a3-4518-920d-0fd0fd9cde29 · inbound

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition cites this paper.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-05T21:12:03.969252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T21:12:00.764293Z digest=sha256:90887cd7aa84a923920cb7c8d58c490c8c8bed6faa872edd4eb9ca67750df6f4