{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:6PFJ5ZQRJKNCPBBOTF4QAY6QMQ","short_pith_number":"pith:6PFJ5ZQR","canonical_record":{"source":{"id":"2505.00772","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-01T18:04:53Z","cross_cats_sorted":[],"title_canon_sha256":"444650e65e49ef7cad4a437e41a56832e9f530ef917c327193fb191975f7fc55","abstract_canon_sha256":"8989ff7ab6d27ea688ed373db4a4d2339f99633fdd163a18068737deb4c320e9"},"schema_version":"1.0"},"canonical_sha256":"f3ca9ee6114a9a27842e99790063d0642a561652778df4ed01c1893aca975316","source":{"kind":"arxiv","id":"2505.00772","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.00772","created_at":"2026-07-05T10:57:38Z"},{"alias_kind":"arxiv_version","alias_value":"2505.00772v1","created_at":"2026-07-05T10:57:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.00772","created_at":"2026-07-05T10:57:38Z"},{"alias_kind":"pith_short_12","alias_value":"6PFJ5ZQRJKNC","created_at":"2026-07-05T10:57:38Z"},{"alias_kind":"pith_short_16","alias_value":"6PFJ5ZQRJKNCPBBO","created_at":"2026-07-05T10:57:38Z"},{"alias_kind":"pith_short_8","alias_value":"6PFJ5ZQR","created_at":"2026-07-05T10:57:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:6PFJ5ZQRJKNCPBBOTF4QAY6QMQ","target":"record","payload":{"canonical_record":{"source":{"id":"2505.00772","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-01T18:04:53Z","cross_cats_sorted":[],"title_canon_sha256":"444650e65e49ef7cad4a437e41a56832e9f530ef917c327193fb191975f7fc55","abstract_canon_sha256":"8989ff7ab6d27ea688ed373db4a4d2339f99633fdd163a18068737deb4c320e9"},"schema_version":"1.0"},"canonical_sha256":"f3ca9ee6114a9a27842e99790063d0642a561652778df4ed01c1893aca975316","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:57:38.838045Z","signature_b64":"Rzkb1TDLFbaKBuTS1Zc1VaCSh9WqXFPYJ3erF3mgBLDqyv2I+OtG1FBsWcBgYICyCucgUsuL2KSdVdi3Qw2ZDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f3ca9ee6114a9a27842e99790063d0642a561652778df4ed01c1893aca975316","last_reissued_at":"2026-07-05T10:57:38.837618Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:57:38.837618Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.00772","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":"2026-07-05T10:57:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mYQbVOmn1tKyX4EwbNUMoCc41UcquNVZg8FaBczbkSXeoD7weQ2A+8ncU7IcU6YOz+pXnsWi1S2kCKdg3pA2BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T11:41:14.614492Z"},"content_sha256":"e8a9251b202defc2585d27cbf9119f4664e17072058abba10257e1bcedede2a8","schema_version":"1.0","event_id":"sha256:e8a9251b202defc2585d27cbf9119f4664e17072058abba10257e1bcedede2a8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:6PFJ5ZQRJKNCPBBOTF4QAY6QMQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Person detection and re-identification in open-world settings of retail stores and public spaces","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Branko Brklja\\v{c}, Milan Brklja\\v{c}","submitted_at":"2025-05-01T18:04:53Z","abstract_excerpt":"Practical applications of computer vision in smart cities usually assume system integration and operation in challenging open-world environments. In the case of person re-identification task the main goal is to retrieve information whether the specific person has appeared in another place at a different time instance of the same video, or over multiple camera feeds. This typically assumes collecting raw data from video surveillance cameras in different places and under varying illumination conditions. In the considered open-world setting it also requires detection and localization of the perso"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.00772","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/2505.00772/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":"2026-07-05T10:57:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+PwsSVVZ0zpJ+Znovkddx249fcN93CvxyPJLeD3H7A1a7kbLqwXqtGmXomZBgrvnbOqzn9QyQArsLMb7YHteBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T11:41:14.615026Z"},"content_sha256":"d9c0e1b7c8b49ef2d59b5b2d0d826308af1712745916c51bbfca7970e304a701","schema_version":"1.0","event_id":"sha256:d9c0e1b7c8b49ef2d59b5b2d0d826308af1712745916c51bbfca7970e304a701"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6PFJ5ZQRJKNCPBBOTF4QAY6QMQ/bundle.json","state_url":"https://pith.science/pith/6PFJ5ZQRJKNCPBBOTF4QAY6QMQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6PFJ5ZQRJKNCPBBOTF4QAY6QMQ/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":"2026-08-12T11:41:14Z","links":{"resolver":"https://pith.science/pith/6PFJ5ZQRJKNCPBBOTF4QAY6QMQ","bundle":"https://pith.science/pith/6PFJ5ZQRJKNCPBBOTF4QAY6QMQ/bundle.json","state":"https://pith.science/pith/6PFJ5ZQRJKNCPBBOTF4QAY6QMQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6PFJ5ZQRJKNCPBBOTF4QAY6QMQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6PFJ5ZQRJKNCPBBOTF4QAY6QMQ","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":"8989ff7ab6d27ea688ed373db4a4d2339f99633fdd163a18068737deb4c320e9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-01T18:04:53Z","title_canon_sha256":"444650e65e49ef7cad4a437e41a56832e9f530ef917c327193fb191975f7fc55"},"schema_version":"1.0","source":{"id":"2505.00772","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.00772","created_at":"2026-07-05T10:57:38Z"},{"alias_kind":"arxiv_version","alias_value":"2505.00772v1","created_at":"2026-07-05T10:57:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.00772","created_at":"2026-07-05T10:57:38Z"},{"alias_kind":"pith_short_12","alias_value":"6PFJ5ZQRJKNC","created_at":"2026-07-05T10:57:38Z"},{"alias_kind":"pith_short_16","alias_value":"6PFJ5ZQRJKNCPBBO","created_at":"2026-07-05T10:57:38Z"},{"alias_kind":"pith_short_8","alias_value":"6PFJ5ZQR","created_at":"2026-07-05T10:57:38Z"}],"graph_snapshots":[{"event_id":"sha256:d9c0e1b7c8b49ef2d59b5b2d0d826308af1712745916c51bbfca7970e304a701","target":"graph","created_at":"2026-07-05T10:57:38Z","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/2505.00772/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Practical applications of computer vision in smart cities usually assume system integration and operation in challenging open-world environments. In the case of person re-identification task the main goal is to retrieve information whether the specific person has appeared in another place at a different time instance of the same video, or over multiple camera feeds. This typically assumes collecting raw data from video surveillance cameras in different places and under varying illumination conditions. In the considered open-world setting it also requires detection and localization of the perso","authors_text":"Branko Brklja\\v{c}, Milan Brklja\\v{c}","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-01T18:04:53Z","title":"Person detection and re-identification in open-world settings of retail stores and public spaces"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.00772","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:e8a9251b202defc2585d27cbf9119f4664e17072058abba10257e1bcedede2a8","target":"record","created_at":"2026-07-05T10:57:38Z","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":"8989ff7ab6d27ea688ed373db4a4d2339f99633fdd163a18068737deb4c320e9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-01T18:04:53Z","title_canon_sha256":"444650e65e49ef7cad4a437e41a56832e9f530ef917c327193fb191975f7fc55"},"schema_version":"1.0","source":{"id":"2505.00772","kind":"arxiv","version":1}},"canonical_sha256":"f3ca9ee6114a9a27842e99790063d0642a561652778df4ed01c1893aca975316","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f3ca9ee6114a9a27842e99790063d0642a561652778df4ed01c1893aca975316","first_computed_at":"2026-07-05T10:57:38.837618Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:57:38.837618Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Rzkb1TDLFbaKBuTS1Zc1VaCSh9WqXFPYJ3erF3mgBLDqyv2I+OtG1FBsWcBgYICyCucgUsuL2KSdVdi3Qw2ZDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:57:38.838045Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.00772","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e8a9251b202defc2585d27cbf9119f4664e17072058abba10257e1bcedede2a8","sha256:d9c0e1b7c8b49ef2d59b5b2d0d826308af1712745916c51bbfca7970e304a701"],"state_sha256":"2bdd4a9fb795bb26e1a19c35ee1f341a73c89e28ee03000b64de67d11ef3c72c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6lzGq46mvyUetejrBhvH3UAdqKb4HW9I6VsGxGQGElMkUnlfrwNeJ+BMcSJFXkIvLHxuJnyCHw16zsziqAdJCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T11:41:14.618693Z","bundle_sha256":"106bcbc2a0c0b99c05c1f79f5fff0a8830c2fc1231a9518fa5a76ce76e937810"}}