{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:KWPVO6T6JE44I7U6SRXIGMYX3J","short_pith_number":"pith:KWPVO6T6","canonical_record":{"source":{"id":"2202.13524","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-02-28T03:33:03Z","cross_cats_sorted":[],"title_canon_sha256":"97c77c63e1016381ac5e24818150a52a890968b57d7a9e82d4051ab469240ff8","abstract_canon_sha256":"830baa8d6e8eb6a91eb01bc10a7f2b84ed9369292fc18ea93272a26b29b32bba"},"schema_version":"1.0"},"canonical_sha256":"559f577a7e4939c47e9e946e833317da69f5cb710b4ab04c2fb0c6fc6e674dee","source":{"kind":"arxiv","id":"2202.13524","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.13524","created_at":"2026-07-05T07:36:48Z"},{"alias_kind":"arxiv_version","alias_value":"2202.13524v2","created_at":"2026-07-05T07:36:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.13524","created_at":"2026-07-05T07:36:48Z"},{"alias_kind":"pith_short_12","alias_value":"KWPVO6T6JE44","created_at":"2026-07-05T07:36:48Z"},{"alias_kind":"pith_short_16","alias_value":"KWPVO6T6JE44I7U6","created_at":"2026-07-05T07:36:48Z"},{"alias_kind":"pith_short_8","alias_value":"KWPVO6T6","created_at":"2026-07-05T07:36:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:KWPVO6T6JE44I7U6SRXIGMYX3J","target":"record","payload":{"canonical_record":{"source":{"id":"2202.13524","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-02-28T03:33:03Z","cross_cats_sorted":[],"title_canon_sha256":"97c77c63e1016381ac5e24818150a52a890968b57d7a9e82d4051ab469240ff8","abstract_canon_sha256":"830baa8d6e8eb6a91eb01bc10a7f2b84ed9369292fc18ea93272a26b29b32bba"},"schema_version":"1.0"},"canonical_sha256":"559f577a7e4939c47e9e946e833317da69f5cb710b4ab04c2fb0c6fc6e674dee","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:36:48.850425Z","signature_b64":"Y1ZX7wKiWeTWJa4yQ6loWeVVOtOfZ7z3dD4jM/skt4MEHtPzXopnFQ7v9T7M6dOE80WrTrbTEwIbVE/+SP+DBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"559f577a7e4939c47e9e946e833317da69f5cb710b4ab04c2fb0c6fc6e674dee","last_reissued_at":"2026-07-05T07:36:48.849988Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:36:48.849988Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.13524","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:36:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0ksVF2nC/Vw+JRxIIdAfL8MQSkLIBH3awtKKoTxtF3Ikw6/vuWGqsVaDLLmilawWlwrAMOD6048o1jLa1yDjAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T13:38:51.384174Z"},"content_sha256":"546c7da67ce5a23b87fad714a6cc8b54027dba6b75dc98f1489d7dedb9a41aa3","schema_version":"1.0","event_id":"sha256:546c7da67ce5a23b87fad714a6cc8b54027dba6b75dc98f1489d7dedb9a41aa3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:KWPVO6T6JE44I7U6SRXIGMYX3J","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jun Liu, Shengjing Tian, Xiuping Liu","submitted_at":"2022-02-28T03:33:03Z","abstract_excerpt":"Single object tracking in point clouds has been attracting more and more attention owing to the presence of LiDAR sensors in 3D vision. However, the existing methods based on deep neural networks focus mainly on training different models for different categories, which makes them unable to perform well in real-world applications when encountering classes unseen during the training phase. In this work, we investigate a more challenging task in the LiDAR point clouds, class-agnostic tracking, where a general model is supposed to be learned for any specified targets of both observed and unseen ca"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.13524","kind":"arxiv","version":2},"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/2202.13524/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":"2026-07-05T07:36:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0XIeKpE8DfNXmlBTilnbqXHNSo6MymmmiNxpEyK4bPt/2QGQkTvwgxF+qsi8vjRwdRvIvSR+H5nxLzFe/eZOCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T13:38:51.384684Z"},"content_sha256":"a1e188ed0b5cc4b61009d88015482ff1f843c02359ad49337d3f9edf727b1f0b","schema_version":"1.0","event_id":"sha256:a1e188ed0b5cc4b61009d88015482ff1f843c02359ad49337d3f9edf727b1f0b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KWPVO6T6JE44I7U6SRXIGMYX3J/bundle.json","state_url":"https://pith.science/pith/KWPVO6T6JE44I7U6SRXIGMYX3J/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KWPVO6T6JE44I7U6SRXIGMYX3J/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":"2026-08-10T13:38:51Z","links":{"resolver":"https://pith.science/pith/KWPVO6T6JE44I7U6SRXIGMYX3J","bundle":"https://pith.science/pith/KWPVO6T6JE44I7U6SRXIGMYX3J/bundle.json","state":"https://pith.science/pith/KWPVO6T6JE44I7U6SRXIGMYX3J/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KWPVO6T6JE44I7U6SRXIGMYX3J/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:KWPVO6T6JE44I7U6SRXIGMYX3J","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":"830baa8d6e8eb6a91eb01bc10a7f2b84ed9369292fc18ea93272a26b29b32bba","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-02-28T03:33:03Z","title_canon_sha256":"97c77c63e1016381ac5e24818150a52a890968b57d7a9e82d4051ab469240ff8"},"schema_version":"1.0","source":{"id":"2202.13524","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.13524","created_at":"2026-07-05T07:36:48Z"},{"alias_kind":"arxiv_version","alias_value":"2202.13524v2","created_at":"2026-07-05T07:36:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.13524","created_at":"2026-07-05T07:36:48Z"},{"alias_kind":"pith_short_12","alias_value":"KWPVO6T6JE44","created_at":"2026-07-05T07:36:48Z"},{"alias_kind":"pith_short_16","alias_value":"KWPVO6T6JE44I7U6","created_at":"2026-07-05T07:36:48Z"},{"alias_kind":"pith_short_8","alias_value":"KWPVO6T6","created_at":"2026-07-05T07:36:48Z"}],"graph_snapshots":[{"event_id":"sha256:a1e188ed0b5cc4b61009d88015482ff1f843c02359ad49337d3f9edf727b1f0b","target":"graph","created_at":"2026-07-05T07:36:48Z","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/2202.13524/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Single object tracking in point clouds has been attracting more and more attention owing to the presence of LiDAR sensors in 3D vision. However, the existing methods based on deep neural networks focus mainly on training different models for different categories, which makes them unable to perform well in real-world applications when encountering classes unseen during the training phase. In this work, we investigate a more challenging task in the LiDAR point clouds, class-agnostic tracking, where a general model is supposed to be learned for any specified targets of both observed and unseen ca","authors_text":"Jun Liu, Shengjing Tian, Xiuping Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-02-28T03:33:03Z","title":"Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.13524","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":"sha256:546c7da67ce5a23b87fad714a6cc8b54027dba6b75dc98f1489d7dedb9a41aa3","target":"record","created_at":"2026-07-05T07:36:48Z","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":"830baa8d6e8eb6a91eb01bc10a7f2b84ed9369292fc18ea93272a26b29b32bba","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-02-28T03:33:03Z","title_canon_sha256":"97c77c63e1016381ac5e24818150a52a890968b57d7a9e82d4051ab469240ff8"},"schema_version":"1.0","source":{"id":"2202.13524","kind":"arxiv","version":2}},"canonical_sha256":"559f577a7e4939c47e9e946e833317da69f5cb710b4ab04c2fb0c6fc6e674dee","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"559f577a7e4939c47e9e946e833317da69f5cb710b4ab04c2fb0c6fc6e674dee","first_computed_at":"2026-07-05T07:36:48.849988Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:36:48.849988Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y1ZX7wKiWeTWJa4yQ6loWeVVOtOfZ7z3dD4jM/skt4MEHtPzXopnFQ7v9T7M6dOE80WrTrbTEwIbVE/+SP+DBA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:36:48.850425Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.13524","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:546c7da67ce5a23b87fad714a6cc8b54027dba6b75dc98f1489d7dedb9a41aa3","sha256:a1e188ed0b5cc4b61009d88015482ff1f843c02359ad49337d3f9edf727b1f0b"],"state_sha256":"d99244b0fa9e52f8d5fd4d932ccbe41ee197ca7accf81f7bf73176b21777592c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mVSdPPUHtK7xpdctloQCt6pWQdwW+ycGXFq5Erdvsl47uzFuD/qzTLJYBx3hNxwR75bQCHLovwSf7i0QEn0zAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T13:38:51.390450Z","bundle_sha256":"d52c75d4eae56f0c42317c8594aa14edc3017b782394ca7e7f9c025099786739"}}