{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ULXJJX5XD72V3VWLNOLICVQ5IS","short_pith_number":"pith:ULXJJX5X","canonical_record":{"source":{"id":"2507.04062","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-05T14:57:37Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"03d7ea27ae61d68b6ec2ecadbbce19d0bda74c9074263cb7be07e32fe54b6b4c","abstract_canon_sha256":"1022513a7a50310d5617eaaebe51569ba1b0dd9c500d1e959aeca671b6c82e5a"},"schema_version":"1.0"},"canonical_sha256":"a2ee94dfb71ff55dd6cb6b9681561d44912ad55f8ff5dc5e704a27d932ea3fbe","source":{"kind":"arxiv","id":"2507.04062","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.04062","created_at":"2026-07-05T11:32:41Z"},{"alias_kind":"arxiv_version","alias_value":"2507.04062v1","created_at":"2026-07-05T11:32:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.04062","created_at":"2026-07-05T11:32:41Z"},{"alias_kind":"pith_short_12","alias_value":"ULXJJX5XD72V","created_at":"2026-07-05T11:32:41Z"},{"alias_kind":"pith_short_16","alias_value":"ULXJJX5XD72V3VWL","created_at":"2026-07-05T11:32:41Z"},{"alias_kind":"pith_short_8","alias_value":"ULXJJX5X","created_at":"2026-07-05T11:32:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ULXJJX5XD72V3VWLNOLICVQ5IS","target":"record","payload":{"canonical_record":{"source":{"id":"2507.04062","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-05T14:57:37Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"03d7ea27ae61d68b6ec2ecadbbce19d0bda74c9074263cb7be07e32fe54b6b4c","abstract_canon_sha256":"1022513a7a50310d5617eaaebe51569ba1b0dd9c500d1e959aeca671b6c82e5a"},"schema_version":"1.0"},"canonical_sha256":"a2ee94dfb71ff55dd6cb6b9681561d44912ad55f8ff5dc5e704a27d932ea3fbe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:32:41.558353Z","signature_b64":"0q/ZZxKS5gRmxileB9+OXGezM+jLbHqUeKHLkW2174ciTid6oZm98Pzm5sdZD1MBhrxqlUADqs1DrKV7r9YbDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a2ee94dfb71ff55dd6cb6b9681561d44912ad55f8ff5dc5e704a27d932ea3fbe","last_reissued_at":"2026-07-05T11:32:41.557673Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:32:41.557673Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.04062","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":"2026-07-05T11:32:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s3eeAsXwR26Jv0RnXof6adj8NAF2B+jpBG/qt9tHbzKs+GYouawJK+onSQ9li7DVPrqxG9+b52L229diUpvyDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T03:06:39.435804Z"},"content_sha256":"06d9c8f7a0a4dea94ed4d079a428e1f9ffe6a1813e6134afb6da593d73d26605","schema_version":"1.0","event_id":"sha256:06d9c8f7a0a4dea94ed4d079a428e1f9ffe6a1813e6134afb6da593d73d26605"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ULXJJX5XD72V3VWLNOLICVQ5IS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Hong Yang, Jian-Fang Hu, Jianwei Tang, Tengyue Chen","submitted_at":"2025-07-05T14:57:37Z","abstract_excerpt":"Action-driven stochastic human motion prediction aims to generate future motion sequences of a pre-defined target action based on given past observed sequences performing non-target actions. This task primarily presents two challenges. Firstly, generating smooth transition motions is hard due to the varying transition speeds of different actions. Secondly, the action characteristic is difficult to be learned because of the similarity of some actions. These issues cause the predicted results to be unreasonable and inconsistent. As a result, we propose two memory banks, the Soft-transition Actio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.04062","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/2507.04062/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":"2026-07-05T11:32:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4VYyqafUnrUO4NZ54OkE5DpPYlvAnVfZJyufVkrcd4/xnLE1hngIyyUw0TA96/iL5X6DPGBuLfJ4BQlDRXvUAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T03:06:39.440714Z"},"content_sha256":"35f95c4c93bc72f7147da367bc2e0c649c978b9479025278eae15898fec3322c","schema_version":"1.0","event_id":"sha256:35f95c4c93bc72f7147da367bc2e0c649c978b9479025278eae15898fec3322c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ULXJJX5XD72V3VWLNOLICVQ5IS/bundle.json","state_url":"https://pith.science/pith/ULXJJX5XD72V3VWLNOLICVQ5IS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ULXJJX5XD72V3VWLNOLICVQ5IS/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":"2026-08-14T03:06:39Z","links":{"resolver":"https://pith.science/pith/ULXJJX5XD72V3VWLNOLICVQ5IS","bundle":"https://pith.science/pith/ULXJJX5XD72V3VWLNOLICVQ5IS/bundle.json","state":"https://pith.science/pith/ULXJJX5XD72V3VWLNOLICVQ5IS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ULXJJX5XD72V3VWLNOLICVQ5IS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ULXJJX5XD72V3VWLNOLICVQ5IS","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":"1022513a7a50310d5617eaaebe51569ba1b0dd9c500d1e959aeca671b6c82e5a","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-05T14:57:37Z","title_canon_sha256":"03d7ea27ae61d68b6ec2ecadbbce19d0bda74c9074263cb7be07e32fe54b6b4c"},"schema_version":"1.0","source":{"id":"2507.04062","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.04062","created_at":"2026-07-05T11:32:41Z"},{"alias_kind":"arxiv_version","alias_value":"2507.04062v1","created_at":"2026-07-05T11:32:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.04062","created_at":"2026-07-05T11:32:41Z"},{"alias_kind":"pith_short_12","alias_value":"ULXJJX5XD72V","created_at":"2026-07-05T11:32:41Z"},{"alias_kind":"pith_short_16","alias_value":"ULXJJX5XD72V3VWL","created_at":"2026-07-05T11:32:41Z"},{"alias_kind":"pith_short_8","alias_value":"ULXJJX5X","created_at":"2026-07-05T11:32:41Z"}],"graph_snapshots":[{"event_id":"sha256:35f95c4c93bc72f7147da367bc2e0c649c978b9479025278eae15898fec3322c","target":"graph","created_at":"2026-07-05T11:32:41Z","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/2507.04062/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Action-driven stochastic human motion prediction aims to generate future motion sequences of a pre-defined target action based on given past observed sequences performing non-target actions. This task primarily presents two challenges. Firstly, generating smooth transition motions is hard due to the varying transition speeds of different actions. Secondly, the action characteristic is difficult to be learned because of the similarity of some actions. These issues cause the predicted results to be unreasonable and inconsistent. As a result, we propose two memory banks, the Soft-transition Actio","authors_text":"Hong Yang, Jian-Fang Hu, Jianwei Tang, Tengyue Chen","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.04062","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":"sha256:06d9c8f7a0a4dea94ed4d079a428e1f9ffe6a1813e6134afb6da593d73d26605","target":"record","created_at":"2026-07-05T11:32:41Z","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":"1022513a7a50310d5617eaaebe51569ba1b0dd9c500d1e959aeca671b6c82e5a","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-05T14:57:37Z","title_canon_sha256":"03d7ea27ae61d68b6ec2ecadbbce19d0bda74c9074263cb7be07e32fe54b6b4c"},"schema_version":"1.0","source":{"id":"2507.04062","kind":"arxiv","version":1}},"canonical_sha256":"a2ee94dfb71ff55dd6cb6b9681561d44912ad55f8ff5dc5e704a27d932ea3fbe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a2ee94dfb71ff55dd6cb6b9681561d44912ad55f8ff5dc5e704a27d932ea3fbe","first_computed_at":"2026-07-05T11:32:41.557673Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:32:41.557673Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0q/ZZxKS5gRmxileB9+OXGezM+jLbHqUeKHLkW2174ciTid6oZm98Pzm5sdZD1MBhrxqlUADqs1DrKV7r9YbDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:32:41.558353Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.04062","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:06d9c8f7a0a4dea94ed4d079a428e1f9ffe6a1813e6134afb6da593d73d26605","sha256:35f95c4c93bc72f7147da367bc2e0c649c978b9479025278eae15898fec3322c"],"state_sha256":"705f29a076fa9a49ceda993a04a27d51a797b1ca8b79f24aa798ce9ae3132b4d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RTOBqGaoQGXrGeDux5H//AK+PEaKTg+b+PMn7+SZLPiRYTcLpNNbrurcE3B8WkJj1PNc5JfRG0dQ40z653xkDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T03:06:39.495236Z","bundle_sha256":"fae0f9f6f14e76bebab0c4f13310c4d764d50dc24b7ed9671eb42619715898d5"}}