{"as_of":"2026-08-22T06:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0ecb720737b066c2ce156218a952634f76cc843dca9bb613c4327164284f6f75","coverage":[{"denominator":68,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":68,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:40:27.111195Z","state":"measured"},{"denominator":68,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":68,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2504.12020/citation-record","integrity":"/paper/2504.12020/integrity","json":"/paper/2504.12020/citation-record.json","paper":"/paper/2504.12020"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:28.113598Z","title":"Hand-model-aware sign language recogni- tion,","venue":null,"work_id":"74beee0d-ab52-4dd8-8ddc-055d94b391c9","year":2021},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.804033Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:3e0c18d60cfe586e42f30b0abcd537d0fc3eaaeae972e2c33d1efff4f17a3c71","observation_id":"c54a48e6-1a34-4bb5-9ea4-2fbb35a8bc94","resolution":{"observed_at":"2026-08-16T12:40:28.118776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:28.099218Z","title":"Visual alignment constraint for continuous sign language recognition,","venue":null,"work_id":"6dc51fb0-f1ca-4925-9c9a-be67672a8faf","year":2021},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.809429Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:dbf8acdf12c934c979b23aac7da2c2167221f6fe73eb55a371f37cb368c3edfe","observation_id":"61d4e4aa-734b-4ab3-95fb-83162a9b2dae","resolution":{"observed_at":"2026-08-16T12:40:28.104764Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:28.085575Z","title":"Improving continuous sign language recognition with cross-lingual signs,","venue":null,"work_id":"248cca32-6c02-43a1-8289-676cd8f7d4f9","year":2023},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.813424Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:db8053892668ac4dd9720b9ca57610464821b5f1ce46073a06202c2a45bb3fca","observation_id":"849a71d5-44f4-4c05-946e-f655a1958241","resolution":{"observed_at":"2026-08-16T12:40:28.090401Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:28.071258Z","title":"Signgraph: A sign sequence is worth graphs of nodes,","venue":null,"work_id":"1b29cd47-882b-4234-a8f3-9c31293c1588","year":2024},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.818229Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:0f8b11805e885cf268b3e77b526e606aae97ddb242e56904ad0fb01b600c5cfe","observation_id":"ed89f71d-3e0b-40e4-a0b1-1f5234dd12fb","resolution":{"observed_at":"2026-08-16T12:40:28.076764Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:28.057586Z","title":"Neural sign language translation,","venue":null,"work_id":"c3bdb677-2a6c-4a75-8c3f-94cc0590e391","year":2018},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.822374Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:b8a3978b84f73032a41bc3a25ac566047f4a0b92ed28d30e019f000c5168ea27","observation_id":"3e65949e-4835-46fd-a6db-3bdd2ff1f437","resolution":{"observed_at":"2026-08-16T12:40:28.062390Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:28.044275Z","title":"Contrastive learning for sign language recognition and translation,","venue":null,"work_id":"8accdb2a-c478-46e3-b4e7-a8a26651c635","year":2023},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.826864Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:f304caa2caa42418e91618babfc1e4c803bb72994bd1b68dc3e20703cee213ba","observation_id":"7f6f9e50-9347-4ea6-91a1-2985b079c303","resolution":{"observed_at":"2026-08-16T12:40:28.048876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:28.029328Z","title":"Two-stream network for sign language recognition and translation,","venue":null,"work_id":"ac113d8e-3992-4621-a48c-f8589a27e1cf","year":null},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.831454Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:b43c91276efaae7f80f984a058932a23152f93f7f9d6c9ddf24bd1e18b2371a9","observation_id":"d2ae1e09-4ef0-45dd-aa8b-426661af6eab","resolution":{"observed_at":"2026-08-16T12:40:28.035010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:28.002414Z","title":"Sign language translation from instructional videos,","venue":null,"work_id":"c12caa7b-9955-4b0e-9e3b-8cfc23b3b50e","year":2023},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.840203Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:9986b6530402c79b0e170235feb7a3a15358435c2f7f4b5da4f86363d0088edb","observation_id":"008a3827-23fc-4c99-86d1-65a65df703d9","resolution":{"observed_at":"2026-08-16T12:40:28.007284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.988711Z","title":"Skeleton-aware neural sign language translation,","venue":null,"work_id":"cbcbe997-c602-4c97-8161-9f7e1f0e9aae","year":2021},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.844643Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:55f400fd5c083ebed6e6eb8814b819ff090c7e752553dc13c75e973ab6c46bf5","observation_id":"9973185f-755a-449e-bb10-a61c091d7242","resolution":{"observed_at":"2026-08-16T12:40:27.993930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.975117Z","title":"Spatial-temporal multi-cue network for sign language recognition and translation,","venue":null,"work_id":"86460dc3-e440-4c7c-b35d-4dce78087f3c","year":2021},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.848903Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:7e2b5355e9fe5d64cffd1bea6a4cc1b49c62c1cab63946141fb9ececa2cf009e","observation_id":"40970590-3175-4844-a475-7e63b0ac8601","resolution":{"observed_at":"2026-08-16T12:40:27.979328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.961804Z","title":"Imagenet-trained cnns are biased towards texture; in- creasing shape bias improves accuracy and robustness,","venue":null,"work_id":"33ae80f9-9807-43c1-9e03-d4ddaccb719e","year":2019},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.853126Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:f75f5337d01b062c18b5a699d957f030e3232bd67d3355c415f1bc48502e6bb7","observation_id":"ef17ea54-7eac-49e3-bf34-3ad4574527f0","resolution":{"observed_at":"2026-08-16T12:40:27.966413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.948754Z","title":"Spatial-temporal multi-cue network for continuous sign language recognition","venue":null,"work_id":"9f45d071-56aa-46b6-a510-28b6920dd921","year":2020},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.857426Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:c4b985f0ed414f3195e8499b6047e64fcb0956a3ec8104735129015ce18538c6","observation_id":"fd97fbf1-43f5-4823-a6dc-2a8eb541dbed","resolution":{"observed_at":"2026-08-16T12:40:27.954375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.935162Z","title":"Towards real-time sign language recognition and translation on edge devices,","venue":null,"work_id":"e865d564-c39f-4638-86d4-024f6ff783ba","year":2023},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.862313Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:00d91685419d5efb16f72cf468b5af86fa1cbb48b531c3d1351a69f5256da438","observation_id":"19551280-2d9f-41a3-b827-04189d7d1576","resolution":{"observed_at":"2026-08-16T12:40:27.940263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.921141Z","title":"Deep high-resolution representation learning for visual recognition,","venue":null,"work_id":"f81621c2-86d0-4c07-a3ce-b2d8220ac12e","year":2020},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.866399Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:0f37ea929d007359e4b3615596a57fd60847278afe80763681966cc21849d702","observation_id":"06e5f7be-ecf0-4d81-9929-8e39b39ebc0a","resolution":{"observed_at":"2026-08-16T12:40:27.926017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.907341Z","title":"Graph-based multimodal sequential embedding for sign language translation,","venue":null,"work_id":"486fc057-8aea-4853-9316-1bcc0a0c4883","year":2021},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.872261Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:a6f54ac0b7036efc5d8dfc336e6addec61e52cebd52cfde4d139091d4466bd0d","observation_id":"342d9e2b-d415-4307-bd32-1d7bcc3d8235","resolution":{"observed_at":"2026-08-16T12:40:27.911629Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.893085Z","title":"Improving sign language translation with monolingual data by sign back-translation,","venue":null,"work_id":"bd42dbec-74d7-45e1-ae0f-054367b9970d","year":2021},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.877545Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:aceaf081a266a4bbe7abf5dc4c16ce6cab7aa58245a10556436833aaeb8deabd","observation_id":"452cb29b-c4e0-4c37-a65c-ee8ba3149b5e","resolution":{"observed_at":"2026-08-16T12:40:27.898269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.879088Z","title":"Boosting continuous sign language recognition via cross modality augmentation,","venue":null,"work_id":"d023a726-9db1-4f6e-8cff-cff5e6dc0891","year":2020},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.882979Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:81b3413f522bae203e625888c3aff3ad09bf6cb21c48a0592624f908f77e2f87","observation_id":"5dc9d4eb-2395-4c58-8b98-faad6f28d11e","resolution":{"observed_at":"2026-08-16T12:40:27.884420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.865716Z","title":"A simple multi-modality transfer learning baseline for sign language translation,","venue":null,"work_id":"3e357414-3174-451e-a99c-8d6ee651429f","year":2022},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.887773Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:c0f2006b4ed4a52c18a274aeeb7e9e0ac8135a4f4e3beb293a60209564b0ebd5","observation_id":"ff9a5345-3099-41f0-9aa7-42cdd0c747e1","resolution":{"observed_at":"2026-08-16T12:40:27.870663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.851708Z","title":"Self-mutual distillation learning for continuous sign language recognition,","venue":null,"work_id":"bc37ea2b-28d7-442c-b276-b78e4dd226ff","year":2021},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.891894Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:f9b740bda0d495437a0aa65248b5332c9a4066ba3abd73eda23b07dd9d0063ca","observation_id":"1e53101e-b96a-43dd-931f-19d9a937e6c5","resolution":{"observed_at":"2026-08-16T12:40:27.856706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.839078Z","title":"Gloss attention for gloss-free sign language translation,","venue":null,"work_id":"1e4ff9d7-d7be-4ce6-a9d2-4c1bdf116120","year":2023},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.896261Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:35debf9d153fc7968c8ec2aec0f33a2fa2e9297ccfb2f5222c45644249b30850","observation_id":"28e978e0-fc56-46b0-877f-5e9759478705","resolution":{"observed_at":"2026-08-16T12:40:27.843734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.826493Z","title":"Gloss-free sign language translation: Improving from visual- language pretraining,","venue":null,"work_id":"2a2113c7-5e3b-498b-9f48-f79e051f7007","year":2023},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.900405Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:54c6bc9d6fde386f34ac179629f700d3ce7e6b1f99f9f2367f3e98eafac8090e","observation_id":"892bd5c8-3102-4311-8f7a-d1531eaba830","resolution":{"observed_at":"2026-08-16T12:40:27.830829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.812456Z","title":"How2sign: a large-scale multi- modal dataset for continuous american sign language,","venue":null,"work_id":"742edbc3-d428-4aa8-a95e-44fd75aef5d4","year":2021},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.904621Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:6787b80bd866a19e0bb5b09fff2fd468167b424f30354132af92073a0974b174","observation_id":"7000eb0e-b357-4a68-99ea-a9527ac31f6e","resolution":{"observed_at":"2026-08-16T12:40:27.817820Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.798685Z","title":"Open-domain sign language translation learned from online video,","venue":null,"work_id":"8ad0301b-fc77-4227-b370-a8e43bc7527e","year":2022},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.909282Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:088b374aa0f0645cdcdc8542686ec99d67e9f0116d8b421f551982f3b5788b7a","observation_id":"ab2f647c-5c06-4819-90d5-ce4fbb3fc9c7","resolution":{"observed_at":"2026-08-16T12:40:27.803073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.785296Z","title":"Re-sign: Re-aligned end-to-end sequence modelling with deep recurrent cnn-hmms,","venue":null,"work_id":"c1c76c87-8448-46ec-abab-79984d6bc4bc","year":2017},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.913533Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:1100d901797775923da955dcdf1d9a790a89ec6cd8f1326c0cbb730a7c0ef53d","observation_id":"32c60835-9dd7-4fd4-b6d7-3fe91b0e2039","resolution":{"observed_at":"2026-08-16T12:40:27.789913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.771812Z","title":"Multi-channel transformers for multi-articulatory sign language translation,","venue":null,"work_id":"91dd53b1-112d-4fde-9734-12215d712b4f","year":2020},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.918768Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:bbbfabbe67b74bfca58d5fa664e41fdefa2933074e4f18e803a1f90daaeb0d19","observation_id":"995b6b03-79e2-4fed-9d73-3e5f321aa169","resolution":{"observed_at":"2026-08-16T12:40:27.776968Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.758847Z","title":"Faster r-cnn: Towards real-time object detection with region proposal networks,","venue":null,"work_id":"b1e29737-9960-4d09-8425-e186ecf3cc31","year":null},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.923930Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:fa38db895ee5ba2ab1e822989a98a6691bd6697f6812c8c76befc26f94580a09","observation_id":"92227c73-3463-4e68-bd1c-bc47e7b7a62b","resolution":{"observed_at":"2026-08-16T12:40:27.763280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.744560Z","title":"C2slr: Consistency-enhanced continuous sign language recognition,","venue":null,"work_id":"e4757766-d26f-4524-a93c-c7d20f7ed792","year":2022},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.930248Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:0ac6c1561036da6c0b0673f4889fba7f0bc367b03232af7c23ab5cdf9225aa58","observation_id":"3a1523a5-e35e-4a31-905a-c101b61a7057","resolution":{"observed_at":"2026-08-16T12:40:27.750373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.731287Z","title":"Realtime multi-person 2d pose estimation using part affinity fields,","venue":null,"work_id":"656a1915-41de-4f3f-a6d5-ba053aa9a454","year":2017},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.935050Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:cd78686976e22ef256676815fd6bc8bf6c2978e8ed8ed77fc65429dcf2aba6cb","observation_id":"fc1470b3-3d71-4ef7-8732-e0757f295298","resolution":{"observed_at":"2026-08-16T12:40:27.736025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.718634Z","title":"Deep high-resolution represen- tation learning for human pose estimation,","venue":null,"work_id":"899e2d4e-9f43-4b70-b6b3-320d9db5c3c3","year":2019},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.939309Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:df5e53cbbf527e23f4d3da6d500941fa2cbeae5262194c8c2cbb1f8b1984e657","observation_id":"4f9f6e56-e9f0-4752-b6ad-8bfe2e1a34db","resolution":{"observed_at":"2026-08-16T12:40:27.723339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.04164","last_updated":"2024-05-07T10:00:38Z","snapshot_observed_at":"2026-08-17T08:03:30.875020Z","submitted_at":"2024-05-07T10:00:38Z","title":"Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.04164","snapshot_observed_at":"2026-08-16T12:40:26.943095Z","title":"Sign2gpt: Leveraging large language models for gloss-free sign language translation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.943095Z"},"links":{"cited_paper":"/paper/2405.04164","citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:82638360894c1edde2a6500669768b6365be57c285e4e2340643557759900399","observation_id":"42ac4dab-ea7a-4cc3-8950-8d31ebd5bb62","resolution":{"observed_at":"2026-08-16T12:40:26.943095Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.704653Z","title":"Weakly supervised learning with multi-stream cnn-lstm-hmms to discover sequential paral- lelism in sign language videos,","venue":null,"work_id":"c73840cf-729c-4e39-9da4-53792affa406","year":2019},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.947519Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:860d3913278d7d82233553236d49f58c788dade4f89e5050b9d6ef71ffd262f6","observation_id":"7760f324-f6eb-43f1-be28-c43c4a52e386","resolution":{"observed_at":"2026-08-16T12:40:27.710179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.691701Z","title":"Multilingual denoising pre-training for neural machine translation,","venue":null,"work_id":"bd2f535f-53dc-4578-b34a-cda1fa0f645d","year":2020},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.951590Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:60f87a17e8291da636c2ae40486618c5d8ee1f038f67b9e5b2e338770a8a3cad","observation_id":"a8bfdbe1-9d09-4f8e-a1ae-4030c55a147b","resolution":{"observed_at":"2026-08-16T12:40:27.696270Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.678590Z","title":"Language models are unsupervised multitask learners,","venue":null,"work_id":"2ac12f4b-2078-4282-842d-d59a2ec5e592","year":2019},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.956140Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:9e8ea3e5a9dcdc78e5e062340bb17a6953c63b763c5c5da96de9cbb386100c9a","observation_id":"c111957e-e86b-4c6d-a5e4-557dfbcff3f4","resolution":{"observed_at":"2026-08-16T12:40:27.683501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1609.02907","last_updated":"2017-02-22T09:55:36Z","snapshot_observed_at":"2026-08-17T10:49:36.026134Z","submitted_at":"2016-09-09T19:48:41Z","title":"Semi-Supervised Classification with Graph Convolutional Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.02907","snapshot_observed_at":"2026-08-16T12:40:26.960529Z","title":"Semi-supervised classification with graph convolutional networks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.960529Z"},"links":{"cited_paper":"/paper/1609.02907","citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:68baefdf2335677058359e415ed70950bc0b8a6720d5141b60f2df59fc2e02eb","observation_id":"9c0654cd-27e8-4fee-9626-661526b36edc","resolution":{"observed_at":"2026-08-16T12:40:26.960529Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1811.03508","last_updated":"2022-05-18T04:51:26Z","snapshot_observed_at":"2026-08-20T15:34:52.040774Z","submitted_at":"2018-11-08T15:53:37Z","title":"A simple yet effective baseline for non-attributed graph classification","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.03508","snapshot_observed_at":"2026-08-16T12:40:26.966564Z","title":"A simple yet effective baseline for non-attributed graph classification,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.966564Z"},"links":{"cited_paper":"/paper/1811.03508","citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:9f62076318699e4590354df30b43c1f0520213bf3d4e09cfe870ec81d23ad973","observation_id":"26341d9b-3f99-49f3-9a10-6b29e3a21d31","resolution":{"observed_at":"2026-08-16T12:40:26.966564Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:26.971777Z","title":"Deep graph kernels,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.971777Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:2b1a2292ac47d88f8acae81925c538718359755498ac2eb1a6739685d8f28015","observation_id":"31b65804-32e4-4546-b6e6-c7c67a42328e","resolution":{"observed_at":"2026-08-16T12:40:26.971777Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.664655Z","title":"Structure-activity relationship of mutagenic aromatic and heteroaromatic nitro compounds. correlation with molecular orbital energies and hydrophobicity,","venue":null,"work_id":"607278cf-9437-41ec-adfa-7550e8314af1","year":1991},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.975555Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:3357cbe7a02363f82865cff1b80a87d1e45d5044e0386e7eb2d3e19a8965e464","observation_id":"171f803f-1fba-4aac-93db-e35861654549","resolution":{"observed_at":"2026-08-16T12:40:27.669714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.649743Z","title":"Spatial temporal graph convolutional networks for skeleton-based action recognition,","venue":null,"work_id":"9f7cb77a-ea30-4263-ad4a-855f322472d0","year":2018},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.981429Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:91e0c3af69585fc6da561e4dd9af34f54058a218ac98c2f768d6f49c5e3b0bf3","observation_id":"066660f2-654b-4269-b7bf-dbbfbd6777c5","resolution":{"observed_at":"2026-08-16T12:40:27.654934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.636190Z","title":"Sign language translation with hierarchical spatio-temporal graph neural network,","venue":null,"work_id":"7a4722e1-fc06-45d7-87a0-3e2949b2311e","year":2022},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.987069Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:69e6a1a9af46cd4e7bf2705f6d1fbdf974669a23a5042803eb7e1b402aa93432","observation_id":"855ce4fc-780a-4a87-bc22-a2a2f3bf2dba","resolution":{"observed_at":"2026-08-16T12:40:27.640518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.621702Z","title":"Signbert+: Hand-model-aware self-supervised pre-training for sign language understanding,","venue":null,"work_id":"3733ea02-a113-4b58-88a4-6f4a6e916822","year":2023},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.991622Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:f5dc0fb8fa24cab2b7aa88bc41dfb56122a7f7e15e574a1d7e86a31cf5386d91","observation_id":"b0d68cea-2fa0-4437-a718-d47ef940dd96","resolution":{"observed_at":"2026-08-16T12:40:27.626908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.606908Z","title":"Spatio-temporal graph convolutional networks for continuous sign language recognition,","venue":null,"work_id":"a6c4ab4b-779d-43c0-8f6c-718031bbe1a0","year":2022},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.996786Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:9dfc36a4becf69fd7bd1f0014b17c1fb4c54e35e61d014f6fd7dde7246f29e60","observation_id":"b2659fec-324a-4875-94cf-a71518d9d05d","resolution":{"observed_at":"2026-08-16T12:40:27.612112Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.592869Z","title":"Cosign: Explor- ing co-occurrence signals in skeleton-based continuous sign language recognition,","venue":null,"work_id":"edce00a0-7f0a-42bd-810a-f3b95fbb8596","year":2023},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.002089Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:418bb5a02fdd5e24bb15e3e4bd891ab3a793f44ce1efa228fff3ab1b5d5c3f8f","observation_id":"28150317-bc8d-4b38-aa94-34b35ec133db","resolution":{"observed_at":"2026-08-16T12:40:27.598261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.579124Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale,","venue":null,"work_id":"949776b1-4fc5-4e44-adbb-ab0dd23f38ea","year":2020},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.006738Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:863a1e74f80bc57f406e82b6f8479776d48df39d7aea266aa8f499811f663255","observation_id":"dcb1fc1d-b266-4400-9a95-9ba4cddf9cda","resolution":{"observed_at":"2026-08-16T12:40:27.583833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.565096Z","title":"Vision gnn: An image is worth graph of nodes,","venue":null,"work_id":"fcd10af4-91af-428e-bfff-302c6622750d","year":2022},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.011090Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:aba594b19bbe46ff5bdb0ceae0247a91003d84a028f605de216c31e98558610b","observation_id":"31e5bfa3-8256-40d8-baeb-14c114cef809","resolution":{"observed_at":"2026-08-16T12:40:27.570383Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.552302Z","title":"Connection- ist temporal classification: labelling unsegmented sequence data with recurrent neural networks,","venue":null,"work_id":"b8b9b4da-5a50-42d6-9b97-a89bbe2c51a8","year":2006},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.016129Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:1ef5c1a18db033c540abad46c5c9a85a47e6936e85268ffe6093ba9393738ff0","observation_id":"8ca42501-6b29-4bc5-8310-60e94662c069","resolution":{"observed_at":"2026-08-16T12:40:27.556752Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.538795Z","title":"Cvt: Introducing convolutions to vision transformers,","venue":null,"work_id":"106ca568-7ab9-4867-81f8-945aac6babd2","year":2021},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.021582Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:612ee306259c6268ff93b91f8041bddbc5cce2814f351a57bb8b8abcdefae10d","observation_id":"2819aa4f-92a4-4304-a799-dcaa83b8db03","resolution":{"observed_at":"2026-08-16T12:40:27.543755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2008.09864","last_updated":"2022-07-09T01:41:01Z","snapshot_observed_at":"2026-08-19T18:17:35.846211Z","submitted_at":"2020-08-22T16:14:01Z","title":"Tackling Over-Smoothing for General Graph Convolutional Networks","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.09864","snapshot_observed_at":"2026-08-16T12:40:27.025461Z","title":"Tackling over- smoothing for general graph convolutional networks,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.025461Z"},"links":{"cited_paper":"/paper/2008.09864","citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:eb913e4117c9d65868b1b6b853d08da5c5c88f844fa174cd7228f6bb33028bdc","observation_id":"b3a53661-2e09-4a94-a37f-252a94c7f3e5","resolution":{"observed_at":"2026-08-16T12:40:27.025461Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.525502Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows,","venue":null,"work_id":"09bd6375-b4fe-48ee-87e9-2bc964372555","year":2021},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.029462Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:2e7112654a227723e7f2495921b6b89f3fef87d1d0cfee6c930428495c7eb72f","observation_id":"6cf24c81-37d6-49d4-a91e-c1ad81e85bb8","resolution":{"observed_at":"2026-08-16T12:40:27.530138Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.512573Z","title":"Visualizing data using t-sne","venue":null,"work_id":"977ee2f7-770d-44ee-9468-611b301f46ac","year":2008},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.034902Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:dc48f72855adab9207b55d3e097786ae307a8ffbbaeeabf05b4ace5d062ab912","observation_id":"24e06cf3-eff7-4c87-8440-9e525a8993ad","resolution":{"observed_at":"2026-08-16T12:40:27.516907Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.498769Z","title":"SentencePiece: A simple and language independent subword tokenizer and detokenizer for neural text processing,","venue":null,"work_id":"d7711946-2f1e-4ae0-a92f-ac5263bd04ea","year":2018},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.039028Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:6f85dcee1be38742c902d43730b3fae9d61a292cc3abf1f0efa223b74fa81035","observation_id":"7fe636ac-c3e8-431e-8979-4ca42bf86020","resolution":{"observed_at":"2026-08-16T12:40:27.504124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.485706Z","title":"Continuous sign language recogni- tion: Towards large vocabulary statistical recognition systems handling multiple signers,","venue":null,"work_id":"b8128078-9264-49e3-8b77-ae9450d0ada7","year":2015},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.043440Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:3e02ece84c09c0a3cc5c6df35a2e45f8c118a439d974f672f3b61017c33af27a","observation_id":"2f038792-3eaa-4d51-920d-b980da41dd88","resolution":{"observed_at":"2026-08-16T12:40:27.490702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.472169Z","title":"Early convolutions help transformers see better,","venue":null,"work_id":"67ba6b4a-2c13-4b83-9882-8684ac1e44fb","year":2021},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.047637Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:cba525d022a733bb4a497cbfa5bc3071eaee908203c93f7643c2c28ec82bef5b","observation_id":"ab92713e-23a4-4d82-bad4-9bacd0f833ac","resolution":{"observed_at":"2026-08-16T12:40:27.476978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.459107Z","title":"Dynamic graph cnn for learning on point clouds,","venue":null,"work_id":"0f716870-8f94-4a5d-b302-e5ce06a55417","year":2019},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.051167Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:b80c8c11d38baacfafd8215c22559d7f02335aed2055aed084f17fd8fe184b26","observation_id":"05f751da-fb06-44f7-8c51-0780b87925e2","resolution":{"observed_at":"2026-08-16T12:40:27.464295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.446797Z","title":"Rouge: A package for automatic evaluation of summaries,","venue":null,"work_id":"badae50c-41ef-4699-9093-48108c9bc920","year":2004},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.055250Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:3564d0cce850c9149dff349655a107df6cbe1cdcbe38fedd224d1b33db6c5195","observation_id":"a61027f6-b919-4f0e-9f68-480c7a9f6597","resolution":{"observed_at":"2026-08-16T12:40:27.450965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.433559Z","title":"Bleu: a method for automatic evaluation of machine translation,","venue":null,"work_id":"38ba2c04-a0cd-4427-8246-3dc68d4d366e","year":2002},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.059224Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:00bb0727685a4a339221c8845fddd71a7e9a0daaea0f06c9a1edf3baddc9dac9","observation_id":"c03d4375-adee-419b-a45b-32147ac3bebb","resolution":{"observed_at":"2026-08-16T12:40:27.438218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.420407Z","title":"A simple framework for contrastive learning of visual representations,","venue":null,"work_id":"8a558f2f-00ab-4fdd-9d6b-a7d5749d1b90","year":2020},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.063150Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:ebf4db01da7a8ae5d7d262f9104c720adf7f6cdab15f6dc5e952b91ea86618a4","observation_id":"387eda8b-1290-4944-ab58-9cda2e070b3e","resolution":{"observed_at":"2026-08-16T12:40:27.424728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.406278Z","title":"Attention is all you need,","venue":null,"work_id":"eb8bd41a-efab-45f3-8d22-7da0e37a39c7","year":2017},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.067040Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:5b54f427dbd8ca2aa425137ce45ab4e0aead736e3926c11eff08af5356fba097","observation_id":"f606e1db-adf0-4bd0-ba47-a6a6fc626d34","resolution":{"observed_at":"2026-08-16T12:40:27.411690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14491","last_updated":"2022-01-31T07:20:20Z","snapshot_observed_at":"2026-07-06T11:14:04.454155Z","submitted_at":"2021-05-30T10:17:58Z","title":"How Attentive are Graph Attention Networks?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.14491","snapshot_observed_at":"2026-08-16T12:40:27.071347Z","title":"How attentive are graph attention networks?","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.071347Z"},"links":{"cited_paper":"/paper/2105.14491","citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:46124773b864fe8b363dbe9334e2a94c72c3b5726a4064a1f54a27895690c7a1","observation_id":"cfd98917-ad23-42fc-a92a-8725b45818db","resolution":{"observed_at":"2026-08-16T12:40:27.071347Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.393416Z","title":"Inductive representation learning on large graphs,","venue":null,"work_id":"75f1f03c-618d-4916-932d-47b3bddfe10d","year":2017},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.075916Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:2cd29a33a336dccac0ecd5fd92ff947eeb50c92e195f7fa66cc454036324e346","observation_id":"c07d2032-e0a6-4287-8952-19393e6fb98f","resolution":{"observed_at":"2026-08-16T12:40:27.397811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.379222Z","title":"Dropedge: Towards deep graph convolutional networks on node classification,","venue":null,"work_id":"5cf097f1-c79d-4709-83fb-4d9676048ead","year":2020},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.081128Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:7b89cb608053af44197acd197b867f2e19c3bb338d869116f8b6042be366b689","observation_id":"544ac268-b38b-4884-a24c-a8f5f087f020","resolution":{"observed_at":"2026-08-16T12:40:27.384295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.363598Z","title":"Sign language transformers: Joint end-to-end sign language recognition and transla- tion,","venue":null,"work_id":"22a7586c-3592-4ae5-af49-240071ed8399","year":2020},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.085873Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:376282e14cd9d1087ef8134507084092dd25b5b18aad7e430bc340df292fb3fd","observation_id":"8c30bd33-b6e8-48d3-917b-2ecf9a8f1893","resolution":{"observed_at":"2026-08-16T12:40:27.369171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.350787Z","title":"Continuous sign language recognition with correlation network,","venue":null,"work_id":"fb3d8a72-7c7e-4333-9287-1a7b746f828b","year":2023},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.089634Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:787f51e52942e146ffe5a6fcb4e75cfedc6deb8fc84d2e060d6015657802422c","observation_id":"37c610e2-0458-482e-b0a5-17cb11b0249d","resolution":{"observed_at":"2026-08-16T12:40:27.354977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.337086Z","title":"Fully convolutional networks for continuous sign language recognition,","venue":null,"work_id":"e4970e76-868a-4004-b76f-d6385485e2ef","year":null},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.093433Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:9b26e48ce7f265bafe717dbd11eb33bea9ef5cafccbdbc20b85f72f93db3eda4","observation_id":"9fd3f9f3-e969-4e94-ac8f-b1982cf16b36","resolution":{"observed_at":"2026-08-16T12:40:27.341175Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.323095Z","title":"Better sign language translation with STMC- transformer,","venue":null,"work_id":"6884d788-c5dc-4832-8425-66919de4473d","year":2020},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.096930Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:0d02537f51ade518ee8bfbb9f0594280d8387a987a39cfda55ef3fc30a2afe27","observation_id":"923bf03a-351c-4388-8991-86815efea79b","resolution":{"observed_at":"2026-08-16T12:40:27.328074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.308942Z","title":"Tspnet: Hierarchical feature learning via temporal semantic pyramid for sign language translation,","venue":null,"work_id":"251ee7e6-7ea9-4ae1-b15c-0bcca9a97ea7","year":2020},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.101613Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:fa7c3030d5da51b1e04477bf5ce30cb2805519df1eb747e525e277b6ea0cc3df","observation_id":"a96d135b-2cfd-45a8-a3b7-f74783863f2a","resolution":{"observed_at":"2026-08-16T12:40:27.313811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.295154Z","title":"Conditional sentence generation and cross-modal reranking for sign language transla- tion,","venue":null,"work_id":"14adf46c-4b57-4461-aecd-ef49a248eb96","year":2021},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.106445Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:101ba0edacd02e26944b940a12433f647ebe9b8764585ce67dd7eaa0f0d6fd35","observation_id":"2b5e4827-7f7c-4a2b-82aa-536417189212","resolution":{"observed_at":"2026-08-16T12:40:27.299982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:27.277661Z","title":"Dinov2: Learning robust visual features without supervision,","venue":null,"work_id":"57f5b993-3084-4c63-8faf-7a49bee548f5","year":2024},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:27.111195Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:9312278a1c29c230d705fb84f3862618c9f97abb0b374d0b37b98f88d9dcc8fd","observation_id":"405a8f35-705b-4148-ae9b-072d8b362fca","resolution":{"observed_at":"2026-08-16T12:40:27.284082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:28.015956Z","title":null,"venue":null,"work_id":"b49542f2-5dce-476b-ae33-96bbcaa73fc8","year":null},"citing_paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:26.835825Z"},"links":{"citing_paper":"/paper/2504.12020"},"observation_digest":"sha256:a7e0a8453aab503ae51e10c491af503ee6b7e9cfab95b9280d7f82f09a7e4a9e","observation_id":"b3e2ef38-3578-4d89-9ae7-c98db9393a74","resolution":{"observed_at":"2026-08-16T12:40:28.020237Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2504.12020","last_updated":"2025-05-17T02:35:49Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-19T18:18:01.996261Z","submitted_at":"2025-04-16T12:23:30Z","title":"Graph Network for Sign Language Tasks"},"reference_resolution":{"displayed":68,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":6,"verified_exact":0,"verified_fuzzy":61},"total_outbound_references":68},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"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."}