{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:5U367SUZZOCZ73BQNV3T64ZPUB","short_pith_number":"pith:5U367SUZ","canonical_record":{"source":{"id":"1710.02255","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-10-06T01:53:01Z","cross_cats_sorted":[],"title_canon_sha256":"4e536e3e1e99b9f663365a9ad14bdbafb15764523139c71cc5e6c0f4b0c09026","abstract_canon_sha256":"89b9e1b57fce0641fa6c40c638e2ab8d693b77d20b85f077298b96d48ef2d7a9"},"schema_version":"1.0"},"canonical_sha256":"ed37efca99cb859fec306d773f732fa06a8963859c05099785edd5fe15ac53be","source":{"kind":"arxiv","id":"1710.02255","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.02255","created_at":"2026-05-18T00:33:33Z"},{"alias_kind":"arxiv_version","alias_value":"1710.02255v1","created_at":"2026-05-18T00:33:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.02255","created_at":"2026-05-18T00:33:33Z"},{"alias_kind":"pith_short_12","alias_value":"5U367SUZZOCZ","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"5U367SUZZOCZ73BQ","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"5U367SUZ","created_at":"2026-05-18T12:31:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:5U367SUZZOCZ73BQNV3T64ZPUB","target":"record","payload":{"canonical_record":{"source":{"id":"1710.02255","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-10-06T01:53:01Z","cross_cats_sorted":[],"title_canon_sha256":"4e536e3e1e99b9f663365a9ad14bdbafb15764523139c71cc5e6c0f4b0c09026","abstract_canon_sha256":"89b9e1b57fce0641fa6c40c638e2ab8d693b77d20b85f077298b96d48ef2d7a9"},"schema_version":"1.0"},"canonical_sha256":"ed37efca99cb859fec306d773f732fa06a8963859c05099785edd5fe15ac53be","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:33:33.991034Z","signature_b64":"Mn+8QYrTTqWvDOBaiC7O1ZdjpCcXM7J+nAvnRux0EaZhyJbuRiWF3tSMhyaxRC2NkS0896TaK0VvSdN47coFAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ed37efca99cb859fec306d773f732fa06a8963859c05099785edd5fe15ac53be","last_reissued_at":"2026-05-18T00:33:33.990162Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:33:33.990162Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1710.02255","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":"2026-05-18T00:33:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a5UpdikaxCmAYpsDXGmw5KzGtVRK79/vMtjGgjqIv7bRq2m3wsV82ULZl7Q8wHqxTRsbBCJxvLj4SfpQCCw6AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T20:57:43.171697Z"},"content_sha256":"f63fa72cbc76b17d8a718758654d7eae0649cbf93dc2ffdcc6bfdb27bc5a11ac","schema_version":"1.0","event_id":"sha256:f63fa72cbc76b17d8a718758654d7eae0649cbf93dc2ffdcc6bfdb27bc5a11ac"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:5U367SUZZOCZ73BQNV3T64ZPUB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fine-Grained Retrieval of Sports Plays using Tree-Based Alignment of Trajectories","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Long Sha, Patrick Lucey, Sridha Sridharan, Stephan Zheng, Taehwan Kim, Yisong Yue","submitted_at":"2017-10-06T01:53:01Z","abstract_excerpt":"We propose a novel method for effective retrieval of multi-agent spatiotemporal tracking data. Retrieval of spatiotemporal tracking data offers several unique challenges compared to conventional text-based retrieval settings. Most notably, the data is fine-grained meaning that the specific location of agents is important in describing behavior. Additionally, the data often contains tracks of multiple agents (e.g., multiple players in a sports game), which generally leads to a permutational alignment problem when performing relevance estimation. Due to the frequent position swap of agents, it i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.02255","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":""},"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":"2026-05-18T00:33:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/y3smYeWHop5m/LiEyZnEpMi78S6gp/SUdOe+BS+dMzTq97Rp863O8gWkA07psQ15Gv+2hERGPgqcEJ+qG3YDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T20:57:43.172179Z"},"content_sha256":"c5835d041f7b76d17f1545448d26e5a47fcd44216c8d43cef67fb9e5eef29082","schema_version":"1.0","event_id":"sha256:c5835d041f7b76d17f1545448d26e5a47fcd44216c8d43cef67fb9e5eef29082"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5U367SUZZOCZ73BQNV3T64ZPUB/bundle.json","state_url":"https://pith.science/pith/5U367SUZZOCZ73BQNV3T64ZPUB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5U367SUZZOCZ73BQNV3T64ZPUB/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":"2026-05-28T20:57:43Z","links":{"resolver":"https://pith.science/pith/5U367SUZZOCZ73BQNV3T64ZPUB","bundle":"https://pith.science/pith/5U367SUZZOCZ73BQNV3T64ZPUB/bundle.json","state":"https://pith.science/pith/5U367SUZZOCZ73BQNV3T64ZPUB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5U367SUZZOCZ73BQNV3T64ZPUB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:5U367SUZZOCZ73BQNV3T64ZPUB","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":"89b9e1b57fce0641fa6c40c638e2ab8d693b77d20b85f077298b96d48ef2d7a9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-10-06T01:53:01Z","title_canon_sha256":"4e536e3e1e99b9f663365a9ad14bdbafb15764523139c71cc5e6c0f4b0c09026"},"schema_version":"1.0","source":{"id":"1710.02255","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.02255","created_at":"2026-05-18T00:33:33Z"},{"alias_kind":"arxiv_version","alias_value":"1710.02255v1","created_at":"2026-05-18T00:33:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.02255","created_at":"2026-05-18T00:33:33Z"},{"alias_kind":"pith_short_12","alias_value":"5U367SUZZOCZ","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"5U367SUZZOCZ73BQ","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"5U367SUZ","created_at":"2026-05-18T12:31:00Z"}],"graph_snapshots":[{"event_id":"sha256:c5835d041f7b76d17f1545448d26e5a47fcd44216c8d43cef67fb9e5eef29082","target":"graph","created_at":"2026-05-18T00:33:33Z","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"},"paper":{"abstract_excerpt":"We propose a novel method for effective retrieval of multi-agent spatiotemporal tracking data. Retrieval of spatiotemporal tracking data offers several unique challenges compared to conventional text-based retrieval settings. Most notably, the data is fine-grained meaning that the specific location of agents is important in describing behavior. Additionally, the data often contains tracks of multiple agents (e.g., multiple players in a sports game), which generally leads to a permutational alignment problem when performing relevance estimation. Due to the frequent position swap of agents, it i","authors_text":"Long Sha, Patrick Lucey, Sridha Sridharan, Stephan Zheng, Taehwan Kim, Yisong Yue","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-10-06T01:53:01Z","title":"Fine-Grained Retrieval of Sports Plays using Tree-Based Alignment of Trajectories"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.02255","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:f63fa72cbc76b17d8a718758654d7eae0649cbf93dc2ffdcc6bfdb27bc5a11ac","target":"record","created_at":"2026-05-18T00:33:33Z","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":"89b9e1b57fce0641fa6c40c638e2ab8d693b77d20b85f077298b96d48ef2d7a9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-10-06T01:53:01Z","title_canon_sha256":"4e536e3e1e99b9f663365a9ad14bdbafb15764523139c71cc5e6c0f4b0c09026"},"schema_version":"1.0","source":{"id":"1710.02255","kind":"arxiv","version":1}},"canonical_sha256":"ed37efca99cb859fec306d773f732fa06a8963859c05099785edd5fe15ac53be","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ed37efca99cb859fec306d773f732fa06a8963859c05099785edd5fe15ac53be","first_computed_at":"2026-05-18T00:33:33.990162Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:33:33.990162Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Mn+8QYrTTqWvDOBaiC7O1ZdjpCcXM7J+nAvnRux0EaZhyJbuRiWF3tSMhyaxRC2NkS0896TaK0VvSdN47coFAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:33:33.991034Z","signed_message":"canonical_sha256_bytes"},"source_id":"1710.02255","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f63fa72cbc76b17d8a718758654d7eae0649cbf93dc2ffdcc6bfdb27bc5a11ac","sha256:c5835d041f7b76d17f1545448d26e5a47fcd44216c8d43cef67fb9e5eef29082"],"state_sha256":"239f4c9e037102914a4c5b26c57325b3eae48d105f3beed2a6d40ab4bddfb122"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BZBQrKQk1tcSIM5twCMEOBrWWjglO20ZHrBV1oJNwSh3uMvieCXZYxySxz8HdpIrQHcGQuNw1t6xTVNllhFlAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T20:57:43.175475Z","bundle_sha256":"e36d493b334db6488eeddff6232222231d257b3e93a223b5ae0ca6b1c937121f"}}