{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:XIJF3UZN2CJFOGMXYGIDSVESD6","short_pith_number":"pith:XIJF3UZN","canonical_record":{"source":{"id":"2308.16082","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-30T15:14:56Z","cross_cats_sorted":[],"title_canon_sha256":"45f0f991b13c192fba049e2d447a7eb70a72d9032174f7ba89b2f4e769976991","abstract_canon_sha256":"744930a7c7a7b299e55c743be9adfc2f7ba1402e99431cea82d476c1187cce0d"},"schema_version":"1.0"},"canonical_sha256":"ba125dd32dd092571997c1903954921f9d59064c6b0f91b2426b3c18ba1fc50b","source":{"kind":"arxiv","id":"2308.16082","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.16082","created_at":"2026-07-05T10:56:04Z"},{"alias_kind":"arxiv_version","alias_value":"2308.16082v4","created_at":"2026-07-05T10:56:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.16082","created_at":"2026-07-05T10:56:04Z"},{"alias_kind":"pith_short_12","alias_value":"XIJF3UZN2CJF","created_at":"2026-07-05T10:56:04Z"},{"alias_kind":"pith_short_16","alias_value":"XIJF3UZN2CJFOGMX","created_at":"2026-07-05T10:56:04Z"},{"alias_kind":"pith_short_8","alias_value":"XIJF3UZN","created_at":"2026-07-05T10:56:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:XIJF3UZN2CJFOGMXYGIDSVESD6","target":"record","payload":{"canonical_record":{"source":{"id":"2308.16082","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-30T15:14:56Z","cross_cats_sorted":[],"title_canon_sha256":"45f0f991b13c192fba049e2d447a7eb70a72d9032174f7ba89b2f4e769976991","abstract_canon_sha256":"744930a7c7a7b299e55c743be9adfc2f7ba1402e99431cea82d476c1187cce0d"},"schema_version":"1.0"},"canonical_sha256":"ba125dd32dd092571997c1903954921f9d59064c6b0f91b2426b3c18ba1fc50b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:56:04.395212Z","signature_b64":"tPsL9gUAH3bVhQW90BcEnmkuiHcMs21uLzfV1Bn5FfgI9Tgi72pc4f7YgvfjkdVMUd52mvipmFH3MgPCbgC6AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ba125dd32dd092571997c1903954921f9d59064c6b0f91b2426b3c18ba1fc50b","last_reissued_at":"2026-07-05T10:56:04.394795Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:56:04.394795Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.16082","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:56:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CrEWJqx+PIxDTtQwMOSMOeBpXmWcYFAUH/JSbhIPCafMNjJ9VeYZt+hS+wKpv6/R5UkRbIz3/jiAw4KsR93aAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T03:47:49.275551Z"},"content_sha256":"519ed0b06df0cd42aee22ef427147ef577c2e8ad0fbad163325d4ee8cb4a6127","schema_version":"1.0","event_id":"sha256:519ed0b06df0cd42aee22ef427147ef577c2e8ad0fbad163325d4ee8cb4a6127"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:XIJF3UZN2CJFOGMXYGIDSVESD6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SignDiff: Diffusion Model for American Sign Language Production","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chen Chen, Chunyu Sui, Hongbin Zhong, Sen Fang, Xuedong Zhang, Yanghao Zhou, Yapeng Tian","submitted_at":"2023-08-30T15:14:56Z","abstract_excerpt":"In this paper, we propose a dual-condition diffusion pre-training model named SignDiff that can generate human sign language speakers from a skeleton pose. SignDiff has a novel Frame Reinforcement Network called FR-Net, similar to dense human pose estimation work, which enhances the correspondence between text lexical symbols and sign language dense pose frames, reduces the occurrence of multiple fingers in the diffusion model. In addition, we propose a new method for American Sign Language Production (ASLP), which can generate ASL skeletal pose videos from text input, integrating two new impr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.16082","kind":"arxiv","version":4},"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/2308.16082/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":"2026-07-05T10:56:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NE8qVrOqeScAsTX1gZgyEhpaAMTeGDOcNzjyPsI8xDCSwuBzQNvADomWS1pEOzm5xAWg9H5pBvYX2KQfOMpxDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T03:47:49.276469Z"},"content_sha256":"6ec59d37a525dfdea0b87ab05eed5f2579319eb97a5acc5f969ea331dd8df736","schema_version":"1.0","event_id":"sha256:6ec59d37a525dfdea0b87ab05eed5f2579319eb97a5acc5f969ea331dd8df736"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XIJF3UZN2CJFOGMXYGIDSVESD6/bundle.json","state_url":"https://pith.science/pith/XIJF3UZN2CJFOGMXYGIDSVESD6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XIJF3UZN2CJFOGMXYGIDSVESD6/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":"2026-08-07T03:47:49Z","links":{"resolver":"https://pith.science/pith/XIJF3UZN2CJFOGMXYGIDSVESD6","bundle":"https://pith.science/pith/XIJF3UZN2CJFOGMXYGIDSVESD6/bundle.json","state":"https://pith.science/pith/XIJF3UZN2CJFOGMXYGIDSVESD6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XIJF3UZN2CJFOGMXYGIDSVESD6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:XIJF3UZN2CJFOGMXYGIDSVESD6","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":"744930a7c7a7b299e55c743be9adfc2f7ba1402e99431cea82d476c1187cce0d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-30T15:14:56Z","title_canon_sha256":"45f0f991b13c192fba049e2d447a7eb70a72d9032174f7ba89b2f4e769976991"},"schema_version":"1.0","source":{"id":"2308.16082","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.16082","created_at":"2026-07-05T10:56:04Z"},{"alias_kind":"arxiv_version","alias_value":"2308.16082v4","created_at":"2026-07-05T10:56:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.16082","created_at":"2026-07-05T10:56:04Z"},{"alias_kind":"pith_short_12","alias_value":"XIJF3UZN2CJF","created_at":"2026-07-05T10:56:04Z"},{"alias_kind":"pith_short_16","alias_value":"XIJF3UZN2CJFOGMX","created_at":"2026-07-05T10:56:04Z"},{"alias_kind":"pith_short_8","alias_value":"XIJF3UZN","created_at":"2026-07-05T10:56:04Z"}],"graph_snapshots":[{"event_id":"sha256:6ec59d37a525dfdea0b87ab05eed5f2579319eb97a5acc5f969ea331dd8df736","target":"graph","created_at":"2026-07-05T10:56:04Z","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/2308.16082/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we propose a dual-condition diffusion pre-training model named SignDiff that can generate human sign language speakers from a skeleton pose. SignDiff has a novel Frame Reinforcement Network called FR-Net, similar to dense human pose estimation work, which enhances the correspondence between text lexical symbols and sign language dense pose frames, reduces the occurrence of multiple fingers in the diffusion model. In addition, we propose a new method for American Sign Language Production (ASLP), which can generate ASL skeletal pose videos from text input, integrating two new impr","authors_text":"Chen Chen, Chunyu Sui, Hongbin Zhong, Sen Fang, Xuedong Zhang, Yanghao Zhou, Yapeng Tian","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-30T15:14:56Z","title":"SignDiff: Diffusion Model for American Sign Language Production"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.16082","kind":"arxiv","version":4},"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":"sha256:519ed0b06df0cd42aee22ef427147ef577c2e8ad0fbad163325d4ee8cb4a6127","target":"record","created_at":"2026-07-05T10:56:04Z","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":"744930a7c7a7b299e55c743be9adfc2f7ba1402e99431cea82d476c1187cce0d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-30T15:14:56Z","title_canon_sha256":"45f0f991b13c192fba049e2d447a7eb70a72d9032174f7ba89b2f4e769976991"},"schema_version":"1.0","source":{"id":"2308.16082","kind":"arxiv","version":4}},"canonical_sha256":"ba125dd32dd092571997c1903954921f9d59064c6b0f91b2426b3c18ba1fc50b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ba125dd32dd092571997c1903954921f9d59064c6b0f91b2426b3c18ba1fc50b","first_computed_at":"2026-07-05T10:56:04.394795Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:56:04.394795Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tPsL9gUAH3bVhQW90BcEnmkuiHcMs21uLzfV1Bn5FfgI9Tgi72pc4f7YgvfjkdVMUd52mvipmFH3MgPCbgC6AA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:56:04.395212Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.16082","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:519ed0b06df0cd42aee22ef427147ef577c2e8ad0fbad163325d4ee8cb4a6127","sha256:6ec59d37a525dfdea0b87ab05eed5f2579319eb97a5acc5f969ea331dd8df736"],"state_sha256":"790e3416ac04245441518b76adca259ad2f5b8e0fc417c8da6e1dceabd1d3482"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OH0XwWwyJTf/MEIESIgYPLd9LViwrbN4i5Q4jVhazWsGt258av2wmiv5TW8yjQV5XbWhc1gAHykUqjX5PwifBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T03:47:49.281516Z","bundle_sha256":"8cd731fb31fd2d87053677e28a09af47a9eab84d1d4c08b09bd01d80f48cefd3"}}