{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CDEPSPBSRTBRIV73O4SSBP4RRH","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"18cf97c8249df1c16e42de10530603c829d185d333e6c63d46dd58607092f089","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-04T06:56:28Z","title_canon_sha256":"cfd12d034925df8f4171af5d1e717c4a98b4f8e400aa626fb565f12e579deeb3"},"schema_version":"1.0","source":{"id":"2507.03339","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.03339","created_at":"2026-07-05T11:31:57Z"},{"alias_kind":"arxiv_version","alias_value":"2507.03339v1","created_at":"2026-07-05T11:31:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.03339","created_at":"2026-07-05T11:31:57Z"},{"alias_kind":"pith_short_12","alias_value":"CDEPSPBSRTBR","created_at":"2026-07-05T11:31:57Z"},{"alias_kind":"pith_short_16","alias_value":"CDEPSPBSRTBRIV73","created_at":"2026-07-05T11:31:57Z"},{"alias_kind":"pith_short_8","alias_value":"CDEPSPBS","created_at":"2026-07-05T11:31:57Z"}],"graph_snapshots":[{"event_id":"sha256:715bca152560bd694cd2cce78cd6f1216235e3b255790820d349a18c21180571","target":"graph","created_at":"2026-07-05T11:31:57Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2507.03339/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Current continuous sign language recognition (CSLR) methods struggle with handling diverse samples. Although dynamic convolutions are ideal for this task, they mainly focus on spatial modeling and fail to capture the temporal dynamics and contextual dependencies. To address this, we propose DESign, a novel framework that incorporates Dynamic Context-Aware Convolution (DCAC) and Subnet Regularization Connectionist Temporal Classification (SR-CTC). DCAC dynamically captures the inter-frame motion cues that constitute signs and uniquely adapts convolutional weights in a fine-grained manner based ","authors_text":"Min Xu, Sheng Liu, Tiantian Yuan, Yiheng Yu, Yining Jiang, Yuan Feng, Zhelun Jin","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-04T06:56:28Z","title":"DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.03339","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:dda5393db46de5051d72c8d2eb5a52aa6ad4722d84889dbef57b45d8f4e79373","target":"record","created_at":"2026-07-05T11:31:57Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"18cf97c8249df1c16e42de10530603c829d185d333e6c63d46dd58607092f089","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-04T06:56:28Z","title_canon_sha256":"cfd12d034925df8f4171af5d1e717c4a98b4f8e400aa626fb565f12e579deeb3"},"schema_version":"1.0","source":{"id":"2507.03339","kind":"arxiv","version":1}},"canonical_sha256":"10c8f93c328cc31457fb772520bf9189ffeb08332813250e19df4303a3e6f637","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"10c8f93c328cc31457fb772520bf9189ffeb08332813250e19df4303a3e6f637","first_computed_at":"2026-07-05T11:31:57.464000Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:31:57.464000Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"k/7khrCwQ041zsCnyrCnsCZpNgBmti1b/fwYSZa1WzZbQF3JsBtyqCWqiVQwpttFCllx+xVEHt9a0L+60rN9CA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:31:57.464501Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.03339","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dda5393db46de5051d72c8d2eb5a52aa6ad4722d84889dbef57b45d8f4e79373","sha256:715bca152560bd694cd2cce78cd6f1216235e3b255790820d349a18c21180571"],"state_sha256":"ed5c8047a313a87cc6bf6553f114cf97e47f133bf500c7c90edd6fe5734384cc"}