{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:Y4EVAAQA4GYD7QVYAHOUM27IGI","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":"8b0700bf57bf00e15af357075055026917249b6752cde8047bc69b2cb370247d","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-16T14:58:37Z","title_canon_sha256":"2550171c6af91240d456a3eee5892533c1235714ddbd608b819213792ae2f2a8"},"schema_version":"1.0","source":{"id":"1907.07045","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.07045","created_at":"2026-05-17T23:40:28Z"},{"alias_kind":"arxiv_version","alias_value":"1907.07045v1","created_at":"2026-05-17T23:40:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.07045","created_at":"2026-05-17T23:40:28Z"},{"alias_kind":"pith_short_12","alias_value":"Y4EVAAQA4GYD","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"Y4EVAAQA4GYD7QVY","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"Y4EVAAQA","created_at":"2026-05-18T12:33:33Z"}],"graph_snapshots":[{"event_id":"sha256:cb4b61a2dd67abc83390afa6f671636a82daa98299e1fa012ec7c668f1925f91","target":"graph","created_at":"2026-05-17T23:40:28Z","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":"This paper studies the interplay between kinematics (position and velocity) and appearance cues for establishing correspondences in multi-target pedestrian tracking. We investigate tracking-by-detection approaches based on a deep learning detector, joint integrated probabilistic data association (JIPDA), and appearance-based tracking of deep correspondence embeddings. We first addressed the fixed-camera setup by fine-tuning a convolutional detector for accurate pedestrian detection and combining it with kinematic-only JIPDA. The resulting submission ranked first on the 3DMOT2015 benchmark. How","authors_text":"Borna Bi\\'cani\\'c, Ivan Markovi\\'c, Ivan Petrovi\\'c, Marin Or\\v{s}i\\'c, Sini\\v{s}a \\v{S}egvi\\'c","cross_cats":["cs.LG","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-16T14:58:37Z","title":"Pedestrian Tracking by Probabilistic Data Association and Correspondence Embeddings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.07045","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":"sha256:1e80e9f70273f8db6f6ed9f7e2a68f2d499917b2967134f44fa2cb65f079e4aa","target":"record","created_at":"2026-05-17T23:40:28Z","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":"8b0700bf57bf00e15af357075055026917249b6752cde8047bc69b2cb370247d","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-16T14:58:37Z","title_canon_sha256":"2550171c6af91240d456a3eee5892533c1235714ddbd608b819213792ae2f2a8"},"schema_version":"1.0","source":{"id":"1907.07045","kind":"arxiv","version":1}},"canonical_sha256":"c709500200e1b03fc2b801dd466be832074b3c24ad86892d05c0dca7601b1f40","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c709500200e1b03fc2b801dd466be832074b3c24ad86892d05c0dca7601b1f40","first_computed_at":"2026-05-17T23:40:28.264044Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:40:28.264044Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZTv0SvKyscACZYC6B1/mMJsKpruW0bbcW9E9F/NiE2+NTXHGOUlppTJYuJvtG/6i/jwtrNLfXj6muoN3vY7rAQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:40:28.264630Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.07045","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1e80e9f70273f8db6f6ed9f7e2a68f2d499917b2967134f44fa2cb65f079e4aa","sha256:cb4b61a2dd67abc83390afa6f671636a82daa98299e1fa012ec7c668f1925f91"],"state_sha256":"5816f0e88d0f0dc42f3efc8c3875d51c54af8dd83b443ed4b064e1afc37b2ede"}