{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WSGZZYW4AR52F4ZD5UP6MVBRYF","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":"6cd2e20d723d3d5538614ca7dfe351877368448247674e457acc308c9fe21ab8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-27T22:15:23Z","title_canon_sha256":"883becbc90667c8ac3722cb0932e23d36cf1a1404621ff78fcde33b9c54adc9d"},"schema_version":"1.0","source":{"id":"2405.17680","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.17680","created_at":"2026-07-05T10:20:37Z"},{"alias_kind":"arxiv_version","alias_value":"2405.17680v2","created_at":"2026-07-05T10:20:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.17680","created_at":"2026-07-05T10:20:37Z"},{"alias_kind":"pith_short_12","alias_value":"WSGZZYW4AR52","created_at":"2026-07-05T10:20:37Z"},{"alias_kind":"pith_short_16","alias_value":"WSGZZYW4AR52F4ZD","created_at":"2026-07-05T10:20:37Z"},{"alias_kind":"pith_short_8","alias_value":"WSGZZYW4","created_at":"2026-07-05T10:20:37Z"}],"graph_snapshots":[{"event_id":"sha256:5c6bb12ddddd1ebf6341ac9626cb5f825de120f10c0858556a53a59557a721dc","target":"graph","created_at":"2026-07-05T10:20:37Z","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/2405.17680/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Understanding multi-agent movement is critical across various fields. The conventional approaches typically focus on separate tasks such as trajectory prediction, imputation, or spatial-temporal recovery. Considering the unique formulation and constraint of each task, most existing methods are tailored for only one, limiting the ability to handle multiple tasks simultaneously, which is a common requirement in real-world scenarios. Another limitation is that widely used public datasets mainly focus on pedestrian movements with casual, loosely connected patterns, where interactions between indiv","authors_text":"Yi Xu, Yun Fu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-27T22:15:23Z","title":"Sports-Traj: A Unified Trajectory Generation Model for Multi-Agent Movement in Sports"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.17680","kind":"arxiv","version":2},"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":"sha256:9f39aaf5fea626587e75465c64c0bc3984647038db63d224113e0db2351dbcf5","target":"record","created_at":"2026-07-05T10:20:37Z","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":"6cd2e20d723d3d5538614ca7dfe351877368448247674e457acc308c9fe21ab8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-27T22:15:23Z","title_canon_sha256":"883becbc90667c8ac3722cb0932e23d36cf1a1404621ff78fcde33b9c54adc9d"},"schema_version":"1.0","source":{"id":"2405.17680","kind":"arxiv","version":2}},"canonical_sha256":"b48d9ce2dc047ba2f323ed1fe65431c1716eceabe271fe1518a16d8552eb080c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b48d9ce2dc047ba2f323ed1fe65431c1716eceabe271fe1518a16d8552eb080c","first_computed_at":"2026-07-05T10:20:37.209145Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:20:37.209145Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dvD2GzYGY1IRAPLvcTfeGzuhmZPHNKGgb/Nxi3LOtRHnMkTQhPuE6HgUzYt2jI0tmK4n+rVlAyb0aT4/yGpfAA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:20:37.209758Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.17680","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9f39aaf5fea626587e75465c64c0bc3984647038db63d224113e0db2351dbcf5","sha256:5c6bb12ddddd1ebf6341ac9626cb5f825de120f10c0858556a53a59557a721dc"],"state_sha256":"3f855fd5194f811c2d5d3ec0a749c3e345207bcfc0db296bee73c587688390ea"}