{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:3V4EYXTKCLFSUYKLH6P4EJ52VL","short_pith_number":"pith:3V4EYXTK","canonical_record":{"source":{"id":"1806.01183","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-06-04T16:27:03Z","cross_cats_sorted":[],"title_canon_sha256":"ee677ce2d28db861721188e2ee5741a9b10856e378cd396eb0e03f622c26aba5","abstract_canon_sha256":"9fc1bd0acf53553d1fa9f876f550c8a40b1e881a8cd8b4a4ac912a8af253292e"},"schema_version":"1.0"},"canonical_sha256":"dd784c5e6a12cb2a614b3f9fc227baaaeed921466d7537962096eb2f0d39bebe","source":{"kind":"arxiv","id":"1806.01183","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.01183","created_at":"2026-05-18T00:14:17Z"},{"alias_kind":"arxiv_version","alias_value":"1806.01183v1","created_at":"2026-05-18T00:14:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.01183","created_at":"2026-05-18T00:14:17Z"},{"alias_kind":"pith_short_12","alias_value":"3V4EYXTKCLFS","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_16","alias_value":"3V4EYXTKCLFSUYKL","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_8","alias_value":"3V4EYXTK","created_at":"2026-05-18T12:32:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:3V4EYXTKCLFSUYKLH6P4EJ52VL","target":"record","payload":{"canonical_record":{"source":{"id":"1806.01183","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-06-04T16:27:03Z","cross_cats_sorted":[],"title_canon_sha256":"ee677ce2d28db861721188e2ee5741a9b10856e378cd396eb0e03f622c26aba5","abstract_canon_sha256":"9fc1bd0acf53553d1fa9f876f550c8a40b1e881a8cd8b4a4ac912a8af253292e"},"schema_version":"1.0"},"canonical_sha256":"dd784c5e6a12cb2a614b3f9fc227baaaeed921466d7537962096eb2f0d39bebe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:14:17.178289Z","signature_b64":"dsamaKNMvlbCvoe1N1qkeo4capdLYl3fNPgZiEIAwJPL4v1RGAoyE9YkajqaS0WMsDR1NZYgIDzdglryFaB2BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dd784c5e6a12cb2a614b3f9fc227baaaeed921466d7537962096eb2f0d39bebe","last_reissued_at":"2026-05-18T00:14:17.177796Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:14:17.177796Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1806.01183","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":"2026-05-18T00:14:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rIzml7jjhLvZuYo/O03jlroJhojGL0ENjGKeVglrh3aOQdSMymf4wa8/Ailk81p8ameo+kb50C55YJAXCuHuAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T07:31:24.978594Z"},"content_sha256":"dae2ce4d2888e8b4869f441423f105cf689d219aeb69cb9f38b5a3f9e3730918","schema_version":"1.0","event_id":"sha256:dae2ce4d2888e8b4869f441423f105cf689d219aeb69cb9f38b5a3f9e3730918"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:3V4EYXTKCLFSUYKLH6P4EJ52VL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Continuous Conditional Random Fields with Asymmetric Inter-object Constraints for Online Multi-object Tracking","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hongsheng Li, Hui Zhou, Jian Cheng, Wanli Ouyang, Xiaogang Wang","submitted_at":"2018-06-04T16:27:03Z","abstract_excerpt":"Online Multi-Object Tracking (MOT) is a challenging problem and has many important applications including intelligence surveillance, robot navigation and autonomous driving. In existing MOT methods, individual object's movements and inter-object relations are mostly modeled separately and relations between them are still manually tuned. In addition, inter-object relations are mostly modeled in a symmetric way, which we argue is not an optimal setting. To tackle those difficulties, in this paper, we propose a Deep Continuous Conditional Random Field (DCCRF) for solving the online MOT problem in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.01183","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":"2026-05-18T00:14:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eAyiEwyWC8I9iUQpgzoJV1AUvCTUtxz54QEPWLbwMVp/W6c05x/6Pb2HwihfynWUp2FdFQqLeQemsKoYNvWAAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T07:31:24.978948Z"},"content_sha256":"6939d64a90c7903832e75395174599bd0b4266ba1afb2443b3c2c41545985609","schema_version":"1.0","event_id":"sha256:6939d64a90c7903832e75395174599bd0b4266ba1afb2443b3c2c41545985609"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3V4EYXTKCLFSUYKLH6P4EJ52VL/bundle.json","state_url":"https://pith.science/pith/3V4EYXTKCLFSUYKLH6P4EJ52VL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3V4EYXTKCLFSUYKLH6P4EJ52VL/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":"2026-05-30T07:31:24Z","links":{"resolver":"https://pith.science/pith/3V4EYXTKCLFSUYKLH6P4EJ52VL","bundle":"https://pith.science/pith/3V4EYXTKCLFSUYKLH6P4EJ52VL/bundle.json","state":"https://pith.science/pith/3V4EYXTKCLFSUYKLH6P4EJ52VL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3V4EYXTKCLFSUYKLH6P4EJ52VL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:3V4EYXTKCLFSUYKLH6P4EJ52VL","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":"9fc1bd0acf53553d1fa9f876f550c8a40b1e881a8cd8b4a4ac912a8af253292e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-06-04T16:27:03Z","title_canon_sha256":"ee677ce2d28db861721188e2ee5741a9b10856e378cd396eb0e03f622c26aba5"},"schema_version":"1.0","source":{"id":"1806.01183","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.01183","created_at":"2026-05-18T00:14:17Z"},{"alias_kind":"arxiv_version","alias_value":"1806.01183v1","created_at":"2026-05-18T00:14:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.01183","created_at":"2026-05-18T00:14:17Z"},{"alias_kind":"pith_short_12","alias_value":"3V4EYXTKCLFS","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_16","alias_value":"3V4EYXTKCLFSUYKL","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_8","alias_value":"3V4EYXTK","created_at":"2026-05-18T12:32:05Z"}],"graph_snapshots":[{"event_id":"sha256:6939d64a90c7903832e75395174599bd0b4266ba1afb2443b3c2c41545985609","target":"graph","created_at":"2026-05-18T00:14:17Z","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":"Online Multi-Object Tracking (MOT) is a challenging problem and has many important applications including intelligence surveillance, robot navigation and autonomous driving. In existing MOT methods, individual object's movements and inter-object relations are mostly modeled separately and relations between them are still manually tuned. In addition, inter-object relations are mostly modeled in a symmetric way, which we argue is not an optimal setting. To tackle those difficulties, in this paper, we propose a Deep Continuous Conditional Random Field (DCCRF) for solving the online MOT problem in","authors_text":"Hongsheng Li, Hui Zhou, Jian Cheng, Wanli Ouyang, Xiaogang Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-06-04T16:27:03Z","title":"Deep Continuous Conditional Random Fields with Asymmetric Inter-object Constraints for Online Multi-object Tracking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.01183","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:dae2ce4d2888e8b4869f441423f105cf689d219aeb69cb9f38b5a3f9e3730918","target":"record","created_at":"2026-05-18T00:14:17Z","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":"9fc1bd0acf53553d1fa9f876f550c8a40b1e881a8cd8b4a4ac912a8af253292e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-06-04T16:27:03Z","title_canon_sha256":"ee677ce2d28db861721188e2ee5741a9b10856e378cd396eb0e03f622c26aba5"},"schema_version":"1.0","source":{"id":"1806.01183","kind":"arxiv","version":1}},"canonical_sha256":"dd784c5e6a12cb2a614b3f9fc227baaaeed921466d7537962096eb2f0d39bebe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd784c5e6a12cb2a614b3f9fc227baaaeed921466d7537962096eb2f0d39bebe","first_computed_at":"2026-05-18T00:14:17.177796Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:14:17.177796Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dsamaKNMvlbCvoe1N1qkeo4capdLYl3fNPgZiEIAwJPL4v1RGAoyE9YkajqaS0WMsDR1NZYgIDzdglryFaB2BA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:14:17.178289Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.01183","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dae2ce4d2888e8b4869f441423f105cf689d219aeb69cb9f38b5a3f9e3730918","sha256:6939d64a90c7903832e75395174599bd0b4266ba1afb2443b3c2c41545985609"],"state_sha256":"16fa3aa3192b0e5a982a576f2ffd2da106f9eddc3958ed8f50b1769c2d75c5a6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cNVg2QP1xqRfoXKFj9dDvcBqQCQYAWd4WNKFaUG4bcdCjmBNVWLTGrAVcilRqdI8jVf0Irj4GCiC4whghbdNCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T07:31:24.981170Z","bundle_sha256":"8196caa029d50eca496b20aa004ece71ab6c2b5d17286bb4981fea9b997cc067"}}