{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:BNVFTMGBRGX5TBUC2IV5COXTMX","short_pith_number":"pith:BNVFTMGB","canonical_record":{"source":{"id":"2412.06258","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-09T07:16:50Z","cross_cats_sorted":[],"title_canon_sha256":"81be306579ae6d92e8859d06eae72ed45410460c046d49916ae78bf07baa2166","abstract_canon_sha256":"cdbbdd67bba7cf50cafa45269e86795d59fcca01d52c388e2019aa97a393132c"},"schema_version":"1.0"},"canonical_sha256":"0b6a59b0c189afd98682d22bd13af365ce68945b59059158541c651378978e02","source":{"kind":"arxiv","id":"2412.06258","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.06258","created_at":"2026-07-05T09:46:18Z"},{"alias_kind":"arxiv_version","alias_value":"2412.06258v1","created_at":"2026-07-05T09:46:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.06258","created_at":"2026-07-05T09:46:18Z"},{"alias_kind":"pith_short_12","alias_value":"BNVFTMGBRGX5","created_at":"2026-07-05T09:46:18Z"},{"alias_kind":"pith_short_16","alias_value":"BNVFTMGBRGX5TBUC","created_at":"2026-07-05T09:46:18Z"},{"alias_kind":"pith_short_8","alias_value":"BNVFTMGB","created_at":"2026-07-05T09:46:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:BNVFTMGBRGX5TBUC2IV5COXTMX","target":"record","payload":{"canonical_record":{"source":{"id":"2412.06258","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-09T07:16:50Z","cross_cats_sorted":[],"title_canon_sha256":"81be306579ae6d92e8859d06eae72ed45410460c046d49916ae78bf07baa2166","abstract_canon_sha256":"cdbbdd67bba7cf50cafa45269e86795d59fcca01d52c388e2019aa97a393132c"},"schema_version":"1.0"},"canonical_sha256":"0b6a59b0c189afd98682d22bd13af365ce68945b59059158541c651378978e02","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:46:18.086823Z","signature_b64":"osJOgu4LUve1y/7wUEGAaDgOkzt8GPSkmnTqvBkn7Zv2FM5hg2Gp0v44uE3t86zPL73IZa8gRZSf2jKyTllxBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0b6a59b0c189afd98682d22bd13af365ce68945b59059158541c651378978e02","last_reissued_at":"2026-07-05T09:46:18.086324Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:46:18.086324Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.06258","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":"2026-07-05T09:46:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TYMPzO50awoSzB/59Mp5vWwytEngsusbrTh4pJi1JjvuhhhDJwQ09D0V2iLhQRrElHV5TyU9tTjbcZ3OZuNPCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T15:59:37.456567Z"},"content_sha256":"649a4cf4e73c966045f08a1b052781c07155e744c2717a675b17a08e5524bd02","schema_version":"1.0","event_id":"sha256:649a4cf4e73c966045f08a1b052781c07155e744c2717a675b17a08e5524bd02"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:BNVFTMGBRGX5TBUC2IV5COXTMX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhanced Multi-Object Tracking Using Pose-based Virtual Markers in 3x3 Basketball","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Calvin Yeung, Hirotsugu Azechi, Jun Ichikawa, Keisuke Fujii, Li Yin, Qingrui Hu, Susumu Takahashi","submitted_at":"2024-12-09T07:16:50Z","abstract_excerpt":"Multi-object tracking (MOT) is crucial for various multi-agent analyses such as evaluating team sports tactics and player movements and performance. While pedestrian tracking has advanced with Tracking-by-Detection MOT, team sports like basketball pose unique challenges. These challenges include players' unpredictable movements, frequent close interactions, and visual similarities that complicate pose labeling and lead to significant occlusions, frequent ID switches, and high manual annotation costs. To address these challenges, we propose a novel pose-based virtual marker (VM) MOT method for "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.06258","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/2412.06258/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":"2026-07-05T09:46:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2/nT08wUCZF0OBahyBapcUWnAyNVyaYvgWqd7JBZklowCgafGKDCTvMsNGBUSz8ifvUT2Re3y8h/1Df12oD7Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T15:59:37.457088Z"},"content_sha256":"56bfeab720d135af626c7aa953bab80f05a0ec0f3824ee842d4766b20a3f9994","schema_version":"1.0","event_id":"sha256:56bfeab720d135af626c7aa953bab80f05a0ec0f3824ee842d4766b20a3f9994"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BNVFTMGBRGX5TBUC2IV5COXTMX/bundle.json","state_url":"https://pith.science/pith/BNVFTMGBRGX5TBUC2IV5COXTMX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BNVFTMGBRGX5TBUC2IV5COXTMX/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":"2026-08-15T15:59:37Z","links":{"resolver":"https://pith.science/pith/BNVFTMGBRGX5TBUC2IV5COXTMX","bundle":"https://pith.science/pith/BNVFTMGBRGX5TBUC2IV5COXTMX/bundle.json","state":"https://pith.science/pith/BNVFTMGBRGX5TBUC2IV5COXTMX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BNVFTMGBRGX5TBUC2IV5COXTMX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BNVFTMGBRGX5TBUC2IV5COXTMX","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":"cdbbdd67bba7cf50cafa45269e86795d59fcca01d52c388e2019aa97a393132c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-09T07:16:50Z","title_canon_sha256":"81be306579ae6d92e8859d06eae72ed45410460c046d49916ae78bf07baa2166"},"schema_version":"1.0","source":{"id":"2412.06258","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.06258","created_at":"2026-07-05T09:46:18Z"},{"alias_kind":"arxiv_version","alias_value":"2412.06258v1","created_at":"2026-07-05T09:46:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.06258","created_at":"2026-07-05T09:46:18Z"},{"alias_kind":"pith_short_12","alias_value":"BNVFTMGBRGX5","created_at":"2026-07-05T09:46:18Z"},{"alias_kind":"pith_short_16","alias_value":"BNVFTMGBRGX5TBUC","created_at":"2026-07-05T09:46:18Z"},{"alias_kind":"pith_short_8","alias_value":"BNVFTMGB","created_at":"2026-07-05T09:46:18Z"}],"graph_snapshots":[{"event_id":"sha256:56bfeab720d135af626c7aa953bab80f05a0ec0f3824ee842d4766b20a3f9994","target":"graph","created_at":"2026-07-05T09:46:18Z","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/2412.06258/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-object tracking (MOT) is crucial for various multi-agent analyses such as evaluating team sports tactics and player movements and performance. While pedestrian tracking has advanced with Tracking-by-Detection MOT, team sports like basketball pose unique challenges. These challenges include players' unpredictable movements, frequent close interactions, and visual similarities that complicate pose labeling and lead to significant occlusions, frequent ID switches, and high manual annotation costs. To address these challenges, we propose a novel pose-based virtual marker (VM) MOT method for ","authors_text":"Calvin Yeung, Hirotsugu Azechi, Jun Ichikawa, Keisuke Fujii, Li Yin, Qingrui Hu, Susumu Takahashi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-09T07:16:50Z","title":"Enhanced Multi-Object Tracking Using Pose-based Virtual Markers in 3x3 Basketball"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.06258","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":"sha256:649a4cf4e73c966045f08a1b052781c07155e744c2717a675b17a08e5524bd02","target":"record","created_at":"2026-07-05T09:46:18Z","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":"cdbbdd67bba7cf50cafa45269e86795d59fcca01d52c388e2019aa97a393132c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-09T07:16:50Z","title_canon_sha256":"81be306579ae6d92e8859d06eae72ed45410460c046d49916ae78bf07baa2166"},"schema_version":"1.0","source":{"id":"2412.06258","kind":"arxiv","version":1}},"canonical_sha256":"0b6a59b0c189afd98682d22bd13af365ce68945b59059158541c651378978e02","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0b6a59b0c189afd98682d22bd13af365ce68945b59059158541c651378978e02","first_computed_at":"2026-07-05T09:46:18.086324Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:46:18.086324Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"osJOgu4LUve1y/7wUEGAaDgOkzt8GPSkmnTqvBkn7Zv2FM5hg2Gp0v44uE3t86zPL73IZa8gRZSf2jKyTllxBg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:46:18.086823Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.06258","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:649a4cf4e73c966045f08a1b052781c07155e744c2717a675b17a08e5524bd02","sha256:56bfeab720d135af626c7aa953bab80f05a0ec0f3824ee842d4766b20a3f9994"],"state_sha256":"ef63edab01c9ef59b79ebd3fcd149f834f21075004d21078d1078c1650a22aa4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5jDeVbdeqtcHrzJQ9IfUbEqhjlP9nH+qOMHhtfthaRw4T2RtDuy+G1imAvXN2DaIA9eoer+78aGDpDs2xRAnDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T15:59:37.461068Z","bundle_sha256":"9f2cfd85a200f557c7fa65892db6281481802dbb06daec163fb87264e207dd39"}}