Pith. sign in

Paper Citation Record · LEDGER

Graph Network for Sign Language Tasks

As of 22 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2504.12020.

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

pith.paper-citation-record.v1
2504.12020 v2

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:27.111195Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

68 of 68 outbound references displayed

  • verified exact0
  • verified fuzzy61
  • unresolved6
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c54a48e6-1a34-4bb5-9ea4-2fbb35a8bc94 · outbound

This paper cites Hand-model-aware sign language recogni- tion,.

Graph Network for Sign Language Tasks Hand-model-aware sign language recogni- tion,

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 61d4e4aa-734b-4ab3-95fb-83162a9b2dae · outbound

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

Graph Network for Sign Language Tasks Visual alignment constraint for continuous sign language recognition,

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 849a71d5-44f4-4c05-946e-f655a1958241 · outbound

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

Graph Network for Sign Language Tasks Improving continuous sign language recognition with cross-lingual signs,

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ed89f71d-3e0b-40e4-a0b1-1f5234dd12fb · outbound

This paper cites Signgraph: A sign sequence is worth graphs of nodes,.

Graph Network for Sign Language Tasks Signgraph: A sign sequence is worth graphs of nodes,

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3e65949e-4835-46fd-a6db-3bdd2ff1f437 · outbound

This paper cites Neural sign language translation,.

Graph Network for Sign Language Tasks Neural sign language translation,

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7f6f9e50-9347-4ea6-91a1-2985b079c303 · outbound

This paper cites Contrastive learning for sign language recognition and translation,.

Graph Network for Sign Language Tasks Contrastive learning for sign language recognition and translation,

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d2ae1e09-4ef0-45dd-aa8b-426661af6eab · outbound

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

Graph Network for Sign Language Tasks Two-stream network for sign language recognition and translation,

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 008a3827-23fc-4c99-86d1-65a65df703d9 · outbound

This paper cites Sign language translation from instructional videos,.

Graph Network for Sign Language Tasks Sign language translation from instructional videos,

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 9973185f-755a-449e-bb10-a61c091d7242 · outbound

This paper cites Skeleton-aware neural sign language translation,.

Graph Network for Sign Language Tasks Skeleton-aware neural sign language translation,

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 40970590-3175-4844-a475-7e63b0ac8601 · outbound

This paper cites Spatial-temporal multi-cue network for sign language recognition and translation,.

Graph Network for Sign Language Tasks Spatial-temporal multi-cue network for sign language recognition and translation,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.979328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ef17ea54-7eac-49e3-bf34-3ad4574527f0 · outbound

This paper cites Imagenet-trained cnns are biased towards texture; in- creasing shape bias improves accuracy and robustness,.

Graph Network for Sign Language Tasks Imagenet-trained cnns are biased towards texture; in- creasing shape bias improves accuracy and robustness,

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation fd97fbf1-43f5-4823-a6dc-2a8eb541dbed · outbound

This paper cites Spatial-temporal multi-cue network for continuous sign language recognition.

Graph Network for Sign Language Tasks Spatial-temporal multi-cue network for continuous sign language recognition

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 19551280-2d9f-41a3-b827-04189d7d1576 · outbound

This paper cites Towards real-time sign language recognition and translation on edge devices,.

Graph Network for Sign Language Tasks Towards real-time sign language recognition and translation on edge devices,

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 06e5f7be-ecf0-4d81-9929-8e39b39ebc0a · outbound

This paper cites Deep high-resolution representation learning for visual recognition,.

Graph Network for Sign Language Tasks Deep high-resolution representation learning for visual recognition,

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 342d9e2b-d415-4307-bd32-1d7bcc3d8235 · outbound

This paper cites Graph-based multimodal sequential embedding for sign language translation,.

Graph Network for Sign Language Tasks Graph-based multimodal sequential embedding for sign language translation,

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 452cb29b-c4e0-4c37-a65c-ee8ba3149b5e · outbound

This paper cites Improving sign language translation with monolingual data by sign back-translation,.

Graph Network for Sign Language Tasks Improving sign language translation with monolingual data by sign back-translation,

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5dc9d4eb-2395-4c58-8b98-faad6f28d11e · outbound

This paper cites Boosting continuous sign language recognition via cross modality augmentation,.

Graph Network for Sign Language Tasks Boosting continuous sign language recognition via cross modality augmentation,

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ff9a5345-3099-41f0-9aa7-42cdd0c747e1 · outbound

This paper cites A simple multi-modality transfer learning baseline for sign language translation,.

Graph Network for Sign Language Tasks A simple multi-modality transfer learning baseline for sign language translation,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.870663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 1e53101e-b96a-43dd-931f-19d9a937e6c5 · outbound

This paper cites Self-mutual distillation learning for continuous sign language recognition,.

Graph Network for Sign Language Tasks Self-mutual distillation learning for continuous sign language recognition,

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 28e978e0-fc56-46b0-877f-5e9759478705 · outbound

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

Graph Network for Sign Language Tasks Gloss attention for gloss-free sign language translation,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.843734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 892bd5c8-3102-4311-8f7a-d1531eaba830 · outbound

This paper cites Gloss-free sign language translation: Improving from visual- language pretraining,.

Graph Network for Sign Language Tasks Gloss-free sign language translation: Improving from visual- language pretraining,

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7000eb0e-b357-4a68-99ea-a9527ac31f6e · outbound

This paper cites How2sign: a large-scale multi- modal dataset for continuous american sign language,.

Graph Network for Sign Language Tasks How2sign: a large-scale multi- modal dataset for continuous american sign language,

Reference 22

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ab2f647c-5c06-4819-90d5-ce4fbb3fc9c7 · outbound

This paper cites Open-domain sign language translation learned from online video,.

Graph Network for Sign Language Tasks Open-domain sign language translation learned from online video,

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 32c60835-9dd7-4fd4-b6d7-3fe91b0e2039 · outbound

This paper cites Re-sign: Re-aligned end-to-end sequence modelling with deep recurrent cnn-hmms,.

Graph Network for Sign Language Tasks Re-sign: Re-aligned end-to-end sequence modelling with deep recurrent cnn-hmms,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.789913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 995b6b03-79e2-4fed-9d73-3e5f321aa169 · outbound

This paper cites Multi-channel transformers for multi-articulatory sign language translation,.

Graph Network for Sign Language Tasks Multi-channel transformers for multi-articulatory sign language translation,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.776968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 92227c73-3463-4e68-bd1c-bc47e7b7a62b · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

Graph Network for Sign Language Tasks Faster r-cnn: Towards real-time object detection with region proposal networks,

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 2026-08-21T06:32:19.484+00:00.

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Observation 3a1523a5-e35e-4a31-905a-c101b61a7057 · outbound

This paper cites C2slr: Consistency-enhanced continuous sign language recognition,.

Graph Network for Sign Language Tasks C2slr: Consistency-enhanced continuous sign language recognition,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.750373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation fc1470b3-3d71-4ef7-8732-e0757f295298 · outbound

This paper cites Realtime multi-person 2d pose estimation using part affinity fields,.

Graph Network for Sign Language Tasks Realtime multi-person 2d pose estimation using part affinity fields,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.736025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 4f9f6e56-e9f0-4752-b6ad-8bfe2e1a34db · outbound

This paper cites Deep high-resolution represen- tation learning for human pose estimation,.

Graph Network for Sign Language Tasks Deep high-resolution represen- tation learning for human pose estimation,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.723339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 42ac4dab-ea7a-4cc3-8950-8d31ebd5bb62 · outbound

This paper cites Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation.

Graph Network for Sign Language Tasks Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation

Reference 30

Resolution
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Source-reported events for the cited work

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Observation 7760f324-f6eb-43f1-be28-c43c4a52e386 · outbound

This paper cites Weakly supervised learning with multi-stream cnn-lstm-hmms to discover sequential paral- lelism in sign language videos,.

Graph Network for Sign Language Tasks Weakly supervised learning with multi-stream cnn-lstm-hmms to discover sequential paral- lelism in sign language videos,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.710179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a8bfdbe1-9d09-4f8e-a1ae-4030c55a147b · outbound

This paper cites Multilingual denoising pre-training for neural machine translation,.

Graph Network for Sign Language Tasks Multilingual denoising pre-training for neural machine translation,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.696270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c111957e-e86b-4c6d-a5e4-557dfbcff3f4 · outbound

This paper cites Language models are unsupervised multitask learners,.

Graph Network for Sign Language Tasks Language models are unsupervised multitask learners,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.683501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:26.956140Z digest=sha256:9e8ea3e5a9dcdc78e5e062340bb17a6953c63b763c5c5da96de9cbb386100c9a

Observation 9c0654cd-27e8-4fee-9626-661526b36edc · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Graph Network for Sign Language Tasks Semi-Supervised Classification with Graph Convolutional Networks

Reference 34

Resolution
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no resolver link, observed 2026-08-16T12:40:26.960529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 26341d9b-3f99-49f3-9a10-6b29e3a21d31 · outbound

This paper cites A simple yet effective baseline for non-attributed graph classification.

Graph Network for Sign Language Tasks A simple yet effective baseline for non-attributed graph classification

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-16T12:40:26.966564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:26.966564Z digest=sha256:9f62076318699e4590354df30b43c1f0520213bf3d4e09cfe870ec81d23ad973

Observation 31b65804-32e4-4546-b6e6-c7c67a42328e · outbound

This paper cites Deep graph kernels,.

Graph Network for Sign Language Tasks Deep graph kernels,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T12:40:26.971777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:26.971777Z digest=sha256:2b1a2292ac47d88f8acae81925c538718359755498ac2eb1a6739685d8f28015

Observation 171f803f-1fba-4aac-93db-e35861654549 · outbound

This paper cites Structure-activity relationship of mutagenic aromatic and heteroaromatic nitro compounds. correlation with molecular orbital energies and hydrophobicity,.

Graph Network for Sign Language Tasks Structure-activity relationship of mutagenic aromatic and heteroaromatic nitro compounds. correlation with molecular orbital energies and hydrophobicity,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.669714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:26.975555Z digest=sha256:3357cbe7a02363f82865cff1b80a87d1e45d5044e0386e7eb2d3e19a8965e464

Observation 066660f2-654b-4269-b7bf-dbbfbd6777c5 · outbound

This paper cites Spatial temporal graph convolutional networks for skeleton-based action recognition,.

Graph Network for Sign Language Tasks Spatial temporal graph convolutional networks for skeleton-based action recognition,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.654934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:26.981429Z digest=sha256:91e0c3af69585fc6da561e4dd9af34f54058a218ac98c2f768d6f49c5e3b0bf3

Observation 855ce4fc-780a-4a87-bc22-a2a2f3bf2dba · outbound

This paper cites Sign language translation with hierarchical spatio-temporal graph neural network,.

Graph Network for Sign Language Tasks Sign language translation with hierarchical spatio-temporal graph neural network,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.640518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:26.987069Z digest=sha256:69e6a1a9af46cd4e7bf2705f6d1fbdf974669a23a5042803eb7e1b402aa93432

Observation b0d68cea-2fa0-4437-a718-d47ef940dd96 · outbound

This paper cites Signbert+: Hand-model-aware self-supervised pre-training for sign language understanding,.

Graph Network for Sign Language Tasks Signbert+: Hand-model-aware self-supervised pre-training for sign language understanding,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.626908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:26.991622Z digest=sha256:f5dc0fb8fa24cab2b7aa88bc41dfb56122a7f7e15e574a1d7e86a31cf5386d91

Observation b2659fec-324a-4875-94cf-a71518d9d05d · outbound

This paper cites Spatio-temporal graph convolutional networks for continuous sign language recognition,.

Graph Network for Sign Language Tasks Spatio-temporal graph convolutional networks for continuous sign language recognition,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.612112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:26.996786Z digest=sha256:9dfc36a4becf69fd7bd1f0014b17c1fb4c54e35e61d014f6fd7dde7246f29e60

Observation 28150317-bc8d-4b38-aa94-34b35ec133db · outbound

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

Graph Network for Sign Language Tasks Cosign: Explor- ing co-occurrence signals in skeleton-based continuous sign language recognition,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.598261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.002089Z digest=sha256:418bb5a02fdd5e24bb15e3e4bd891ab3a793f44ce1efa228fff3ab1b5d5c3f8f

Observation dcb1fc1d-b266-4400-9a95-9ba4cddf9cda · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Graph Network for Sign Language Tasks An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.583833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.006738Z digest=sha256:863a1e74f80bc57f406e82b6f8479776d48df39d7aea266aa8f499811f663255

Observation 31e5bfa3-8256-40d8-baeb-14c114cef809 · outbound

This paper cites Vision gnn: An image is worth graph of nodes,.

Graph Network for Sign Language Tasks Vision gnn: An image is worth graph of nodes,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.570383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.011090Z digest=sha256:aba594b19bbe46ff5bdb0ceae0247a91003d84a028f605de216c31e98558610b

Observation 8ca42501-6b29-4bc5-8310-60e94662c069 · outbound

This paper cites Connection- ist temporal classification: labelling unsegmented sequence data with recurrent neural networks,.

Graph Network for Sign Language Tasks Connection- ist temporal classification: labelling unsegmented sequence data with recurrent neural networks,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.556752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.016129Z digest=sha256:1ef5c1a18db033c540abad46c5c9a85a47e6936e85268ffe6093ba9393738ff0

Observation 2819aa4f-92a4-4304-a799-dcaa83b8db03 · outbound

This paper cites Cvt: Introducing convolutions to vision transformers,.

Graph Network for Sign Language Tasks Cvt: Introducing convolutions to vision transformers,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.543755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.021582Z digest=sha256:612ee306259c6268ff93b91f8041bddbc5cce2814f351a57bb8b8abcdefae10d

Observation b3a53661-2e09-4a94-a37f-252a94c7f3e5 · outbound

This paper cites Tackling Over-Smoothing for General Graph Convolutional Networks.

Graph Network for Sign Language Tasks Tackling Over-Smoothing for General Graph Convolutional Networks

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T12:40:27.025461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:27.025461Z digest=sha256:eb913e4117c9d65868b1b6b853d08da5c5c88f844fa174cd7228f6bb33028bdc

Observation 6cf24c81-37d6-49d4-a91e-c1ad81e85bb8 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Graph Network for Sign Language Tasks Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.530138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.029462Z digest=sha256:2e7112654a227723e7f2495921b6b89f3fef87d1d0cfee6c930428495c7eb72f

Observation 24e06cf3-eff7-4c87-8440-9e525a8993ad · outbound

This paper cites Visualizing data using t-sne.

Graph Network for Sign Language Tasks Visualizing data using t-sne

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.516907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.034902Z digest=sha256:dc48f72855adab9207b55d3e097786ae307a8ffbbaeeabf05b4ace5d062ab912

Observation 7fe636ac-c3e8-431e-8979-4ca42bf86020 · outbound

This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for neural text processing,.

Graph Network for Sign Language Tasks SentencePiece: A simple and language independent subword tokenizer and detokenizer for neural text processing,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.504124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.039028Z digest=sha256:6f85dcee1be38742c902d43730b3fae9d61a292cc3abf1f0efa223b74fa81035

Observation 2f038792-3eaa-4d51-920d-b980da41dd88 · outbound

This paper cites Continuous sign language recogni- tion: Towards large vocabulary statistical recognition systems handling multiple signers,.

Graph Network for Sign Language Tasks Continuous sign language recogni- tion: Towards large vocabulary statistical recognition systems handling multiple signers,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.490702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.043440Z digest=sha256:3e02ece84c09c0a3cc5c6df35a2e45f8c118a439d974f672f3b61017c33af27a

Observation ab92713e-23a4-4d82-bad4-9bacd0f833ac · outbound

This paper cites Early convolutions help transformers see better,.

Graph Network for Sign Language Tasks Early convolutions help transformers see better,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.476978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.047637Z digest=sha256:cba525d022a733bb4a497cbfa5bc3071eaee908203c93f7643c2c28ec82bef5b

Observation 05f751da-fb06-44f7-8c51-0780b87925e2 · outbound

This paper cites Dynamic graph cnn for learning on point clouds,.

Graph Network for Sign Language Tasks Dynamic graph cnn for learning on point clouds,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.464295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.051167Z digest=sha256:b80c8c11d38baacfafd8215c22559d7f02335aed2055aed084f17fd8fe184b26

Observation a61027f6-b919-4f0e-9f68-480c7a9f6597 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries,.

Graph Network for Sign Language Tasks Rouge: A package for automatic evaluation of summaries,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.450965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.055250Z digest=sha256:3564d0cce850c9149dff349655a107df6cbe1cdcbe38fedd224d1b33db6c5195

Observation c03d4375-adee-419b-a45b-32147ac3bebb · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation,.

Graph Network for Sign Language Tasks Bleu: a method for automatic evaluation of machine translation,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.438218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.059224Z digest=sha256:00bb0727685a4a339221c8845fddd71a7e9a0daaea0f06c9a1edf3baddc9dac9

Observation 387eda8b-1290-4944-ab58-9cda2e070b3e · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

Graph Network for Sign Language Tasks A simple framework for contrastive learning of visual representations,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.424728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.063150Z digest=sha256:ebf4db01da7a8ae5d7d262f9104c720adf7f6cdab15f6dc5e952b91ea86618a4

Observation f606e1db-adf0-4bd0-ba47-a6a6fc626d34 · outbound

This paper cites Attention is all you need,.

Graph Network for Sign Language Tasks Attention is all you need,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.411690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.067040Z digest=sha256:5b54f427dbd8ca2aa425137ce45ab4e0aead736e3926c11eff08af5356fba097

Observation cfd98917-ad23-42fc-a92a-8725b45818db · outbound

This paper cites How Attentive are Graph Attention Networks?.

Graph Network for Sign Language Tasks How Attentive are Graph Attention Networks?

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-16T12:40:27.071347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:27.071347Z digest=sha256:46124773b864fe8b363dbe9334e2a94c72c3b5726a4064a1f54a27895690c7a1

Observation c07d2032-e0a6-4287-8952-19393e6fb98f · outbound

This paper cites Inductive representation learning on large graphs,.

Graph Network for Sign Language Tasks Inductive representation learning on large graphs,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.397811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.075916Z digest=sha256:2cd29a33a336dccac0ecd5fd92ff947eeb50c92e195f7fa66cc454036324e346

Observation 544ac268-b38b-4884-a24c-a8f5f087f020 · outbound

This paper cites Dropedge: Towards deep graph convolutional networks on node classification,.

Graph Network for Sign Language Tasks Dropedge: Towards deep graph convolutional networks on node classification,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.384295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.081128Z digest=sha256:7b89cb608053af44197acd197b867f2e19c3bb338d869116f8b6042be366b689

Observation 8c30bd33-b6e8-48d3-917b-2ecf9a8f1893 · outbound

This paper cites Sign language transformers: Joint end-to-end sign language recognition and transla- tion,.

Graph Network for Sign Language Tasks Sign language transformers: Joint end-to-end sign language recognition and transla- tion,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.369171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.085873Z digest=sha256:376282e14cd9d1087ef8134507084092dd25b5b18aad7e430bc340df292fb3fd

Observation 37c610e2-0458-482e-b0a5-17cb11b0249d · outbound

This paper cites Continuous sign language recognition with correlation network,.

Graph Network for Sign Language Tasks Continuous sign language recognition with correlation network,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.354977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.089634Z digest=sha256:787f51e52942e146ffe5a6fcb4e75cfedc6deb8fc84d2e060d6015657802422c

Observation 9fd3f9f3-e969-4e94-ac8f-b1982cf16b36 · outbound

This paper cites Fully convolutional networks for continuous sign language recognition,.

Graph Network for Sign Language Tasks Fully convolutional networks for continuous sign language recognition,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.341175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.093433Z digest=sha256:9b26e48ce7f265bafe717dbd11eb33bea9ef5cafccbdbc20b85f72f93db3eda4

Observation 923bf03a-351c-4388-8991-86815efea79b · outbound

This paper cites Better sign language translation with STMC- transformer,.

Graph Network for Sign Language Tasks Better sign language translation with STMC- transformer,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.328074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.096930Z digest=sha256:0d02537f51ade518ee8bfbb9f0594280d8387a987a39cfda55ef3fc30a2afe27

Observation a96d135b-2cfd-45a8-a3b7-f74783863f2a · outbound

This paper cites Tspnet: Hierarchical feature learning via temporal semantic pyramid for sign language translation,.

Graph Network for Sign Language Tasks Tspnet: Hierarchical feature learning via temporal semantic pyramid for sign language translation,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.313811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.101613Z digest=sha256:fa7c3030d5da51b1e04477bf5ce30cb2805519df1eb747e525e277b6ea0cc3df

Observation 2b5e4827-7f7c-4a2b-82aa-536417189212 · outbound

This paper cites Conditional sentence generation and cross-modal reranking for sign language transla- tion,.

Graph Network for Sign Language Tasks Conditional sentence generation and cross-modal reranking for sign language transla- tion,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.299982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.106445Z digest=sha256:101ba0edacd02e26944b940a12433f647ebe9b8764585ce67dd7eaa0f0d6fd35

Observation 405a8f35-705b-4148-ae9b-072d8b362fca · outbound

This paper cites Dinov2: Learning robust visual features without supervision,.

Graph Network for Sign Language Tasks Dinov2: Learning robust visual features without supervision,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:27.284082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:27.111195Z digest=sha256:9312278a1c29c230d705fb84f3862618c9f97abb0b374d0b37b98f88d9dcc8fd

Observation b3e2ef38-3578-4d89-9ae7-c98db9393a74 · outbound

This paper cites an unresolved cited work.

Graph Network for Sign Language Tasks Unresolved cited work

Reference 2022

Resolution
parse uncertain
raw_fallback, observed 2026-08-16T12:40:28.020237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:26.835825Z digest=sha256:a7e0a8453aab503ae51e10c491af503ee6b7e9cfab95b9280d7f82f09a7e4a9e

Pith citing papers

No inbound Pith citation observations are available.