{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:OWDQ7MJGCT4WKBWOZKNPU5HXTY","short_pith_number":"pith:OWDQ7MJG","canonical_record":{"source":{"id":"2506.13156","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T07:09:51Z","cross_cats_sorted":[],"title_canon_sha256":"2311948d0e574fb82e5f08af9758250a1a65d362fcf54e65071a517b8228c214","abstract_canon_sha256":"eae5f7d263560cbc9db3f3308967c6d3b12a1e8f80758f9cf696a123c690a683"},"schema_version":"1.0"},"canonical_sha256":"75870fb12614f96506ceca9afa74f79e3f546c1afd4d0d68aaca2a7f2977a3cb","source":{"kind":"arxiv","id":"2506.13156","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.13156","created_at":"2026-07-05T11:22:05Z"},{"alias_kind":"arxiv_version","alias_value":"2506.13156v1","created_at":"2026-07-05T11:22:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13156","created_at":"2026-07-05T11:22:05Z"},{"alias_kind":"pith_short_12","alias_value":"OWDQ7MJGCT4W","created_at":"2026-07-05T11:22:05Z"},{"alias_kind":"pith_short_16","alias_value":"OWDQ7MJGCT4WKBWO","created_at":"2026-07-05T11:22:05Z"},{"alias_kind":"pith_short_8","alias_value":"OWDQ7MJG","created_at":"2026-07-05T11:22:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:OWDQ7MJGCT4WKBWOZKNPU5HXTY","target":"record","payload":{"canonical_record":{"source":{"id":"2506.13156","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T07:09:51Z","cross_cats_sorted":[],"title_canon_sha256":"2311948d0e574fb82e5f08af9758250a1a65d362fcf54e65071a517b8228c214","abstract_canon_sha256":"eae5f7d263560cbc9db3f3308967c6d3b12a1e8f80758f9cf696a123c690a683"},"schema_version":"1.0"},"canonical_sha256":"75870fb12614f96506ceca9afa74f79e3f546c1afd4d0d68aaca2a7f2977a3cb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:22:05.968302Z","signature_b64":"9zr8neDvskDamuFMIqBUnKEhgZ1h9EEFSaCzMdln/64C6avWkc7pFYIbsRZKM/Qfs6r3oo7c31Y1ikS0aAv6AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"75870fb12614f96506ceca9afa74f79e3f546c1afd4d0d68aaca2a7f2977a3cb","last_reissued_at":"2026-07-05T11:22:05.967813Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:22:05.967813Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.13156","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:22:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wbh/HC21nZhLZXZt//OdqMlExLMTyUveXI4aGDRTztFdDU4Ip+TmQ3eZdvS6lAwH4ai4nqW5a/t8W8oPF4tjAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T06:10:21.077650Z"},"content_sha256":"6975a53dc696cb81210f370d9415c428c7564b172713c8d1bc613e347522f4b4","schema_version":"1.0","event_id":"sha256:6975a53dc696cb81210f370d9415c428c7564b172713c8d1bc613e347522f4b4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:OWDQ7MJGCT4WKBWOZKNPU5HXTY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"StgcDiff: Spatial-Temporal Graph Condition Diffusion for Sign Language Transition Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Huixia Ben, Jiashu He, Jiayi He, Lechao Cheng, Richang Hong, Shengeng Tang","submitted_at":"2025-06-16T07:09:51Z","abstract_excerpt":"Sign language transition generation seeks to convert discrete sign language segments into continuous sign videos by synthesizing smooth transitions. However,most existing methods merely concatenate isolated signs, resulting in poor visual coherence and semantic accuracy in the generated videos. Unlike textual languages,sign language is inherently rich in spatial-temporal cues, making it more complex to model. To address this,we propose StgcDiff, a graph-based conditional diffusion framework that generates smooth transitions between discrete signs by capturing the unique spatial-temporal depend"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13156","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2506.13156/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:22:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XHM6riJ7m+Xy+zwbaO38NTmA/IGWIhhCFJCzAO4fv12Ne30+lro/IRi4+iuLDTfXrsWQfJPxF2Gox51gzHW3AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T06:10:21.078182Z"},"content_sha256":"0d254cf924e08bc915605dd09d7387453584edf29d031354cb3e67e6adef4349","schema_version":"1.0","event_id":"sha256:0d254cf924e08bc915605dd09d7387453584edf29d031354cb3e67e6adef4349"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OWDQ7MJGCT4WKBWOZKNPU5HXTY/bundle.json","state_url":"https://pith.science/pith/OWDQ7MJGCT4WKBWOZKNPU5HXTY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OWDQ7MJGCT4WKBWOZKNPU5HXTY/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-05T06:10:21Z","links":{"resolver":"https://pith.science/pith/OWDQ7MJGCT4WKBWOZKNPU5HXTY","bundle":"https://pith.science/pith/OWDQ7MJGCT4WKBWOZKNPU5HXTY/bundle.json","state":"https://pith.science/pith/OWDQ7MJGCT4WKBWOZKNPU5HXTY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OWDQ7MJGCT4WKBWOZKNPU5HXTY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OWDQ7MJGCT4WKBWOZKNPU5HXTY","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":"eae5f7d263560cbc9db3f3308967c6d3b12a1e8f80758f9cf696a123c690a683","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T07:09:51Z","title_canon_sha256":"2311948d0e574fb82e5f08af9758250a1a65d362fcf54e65071a517b8228c214"},"schema_version":"1.0","source":{"id":"2506.13156","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.13156","created_at":"2026-07-05T11:22:05Z"},{"alias_kind":"arxiv_version","alias_value":"2506.13156v1","created_at":"2026-07-05T11:22:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13156","created_at":"2026-07-05T11:22:05Z"},{"alias_kind":"pith_short_12","alias_value":"OWDQ7MJGCT4W","created_at":"2026-07-05T11:22:05Z"},{"alias_kind":"pith_short_16","alias_value":"OWDQ7MJGCT4WKBWO","created_at":"2026-07-05T11:22:05Z"},{"alias_kind":"pith_short_8","alias_value":"OWDQ7MJG","created_at":"2026-07-05T11:22:05Z"}],"graph_snapshots":[{"event_id":"sha256:0d254cf924e08bc915605dd09d7387453584edf29d031354cb3e67e6adef4349","target":"graph","created_at":"2026-07-05T11:22:05Z","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/2506.13156/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sign language transition generation seeks to convert discrete sign language segments into continuous sign videos by synthesizing smooth transitions. However,most existing methods merely concatenate isolated signs, resulting in poor visual coherence and semantic accuracy in the generated videos. Unlike textual languages,sign language is inherently rich in spatial-temporal cues, making it more complex to model. To address this,we propose StgcDiff, a graph-based conditional diffusion framework that generates smooth transitions between discrete signs by capturing the unique spatial-temporal depend","authors_text":"Huixia Ben, Jiashu He, Jiayi He, Lechao Cheng, Richang Hong, Shengeng Tang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T07:09:51Z","title":"StgcDiff: Spatial-Temporal Graph Condition Diffusion for Sign Language Transition Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13156","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":"sha256:6975a53dc696cb81210f370d9415c428c7564b172713c8d1bc613e347522f4b4","target":"record","created_at":"2026-07-05T11:22:05Z","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":"eae5f7d263560cbc9db3f3308967c6d3b12a1e8f80758f9cf696a123c690a683","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T07:09:51Z","title_canon_sha256":"2311948d0e574fb82e5f08af9758250a1a65d362fcf54e65071a517b8228c214"},"schema_version":"1.0","source":{"id":"2506.13156","kind":"arxiv","version":1}},"canonical_sha256":"75870fb12614f96506ceca9afa74f79e3f546c1afd4d0d68aaca2a7f2977a3cb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"75870fb12614f96506ceca9afa74f79e3f546c1afd4d0d68aaca2a7f2977a3cb","first_computed_at":"2026-07-05T11:22:05.967813Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:22:05.967813Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9zr8neDvskDamuFMIqBUnKEhgZ1h9EEFSaCzMdln/64C6avWkc7pFYIbsRZKM/Qfs6r3oo7c31Y1ikS0aAv6AA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:22:05.968302Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.13156","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6975a53dc696cb81210f370d9415c428c7564b172713c8d1bc613e347522f4b4","sha256:0d254cf924e08bc915605dd09d7387453584edf29d031354cb3e67e6adef4349"],"state_sha256":"da9cf24be3de4607d52d4a99f3c332ccd764095ef375c69e96894e12d18f71b7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0fdURlhMd8Fw+ykmpAPI66y6wk5p+uEWlEBma1KygwMYb6DtopylVMLoXr3XMqXgX+2R1FRQgI0gPxU3qCNJBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T06:10:21.081683Z","bundle_sha256":"35e506708be8f9599af0a1a7bcc36ac8a6c8a2f07f34040560258da6970cf2f8"}}