{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:EHBUG7YHJB5XM5YPFU6AEGWDJE","short_pith_number":"pith:EHBUG7YH","canonical_record":{"source":{"id":"2507.12396","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-16T16:41:47Z","cross_cats_sorted":[],"title_canon_sha256":"5b43da02704f178cdf6bce3996c669a3714bcf63f089203fa196548c454154ca","abstract_canon_sha256":"b5605527d373c21cac3f6303689456201d1b7ed717c09f7cc3cd15f687f8dc85"},"schema_version":"1.0"},"canonical_sha256":"21c3437f07487b76770f2d3c021ac3491dcde70feac6cf20d6e5bafba1c72384","source":{"kind":"arxiv","id":"2507.12396","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.12396","created_at":"2026-07-05T11:39:14Z"},{"alias_kind":"arxiv_version","alias_value":"2507.12396v2","created_at":"2026-07-05T11:39:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.12396","created_at":"2026-07-05T11:39:14Z"},{"alias_kind":"pith_short_12","alias_value":"EHBUG7YHJB5X","created_at":"2026-07-05T11:39:14Z"},{"alias_kind":"pith_short_16","alias_value":"EHBUG7YHJB5XM5YP","created_at":"2026-07-05T11:39:14Z"},{"alias_kind":"pith_short_8","alias_value":"EHBUG7YH","created_at":"2026-07-05T11:39:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:EHBUG7YHJB5XM5YPFU6AEGWDJE","target":"record","payload":{"canonical_record":{"source":{"id":"2507.12396","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-16T16:41:47Z","cross_cats_sorted":[],"title_canon_sha256":"5b43da02704f178cdf6bce3996c669a3714bcf63f089203fa196548c454154ca","abstract_canon_sha256":"b5605527d373c21cac3f6303689456201d1b7ed717c09f7cc3cd15f687f8dc85"},"schema_version":"1.0"},"canonical_sha256":"21c3437f07487b76770f2d3c021ac3491dcde70feac6cf20d6e5bafba1c72384","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:39:14.821574Z","signature_b64":"VFVtAoTVMPoyz8CVfRdeglFpEJUUUP4jeMXLBbbawQiE9fOTdcfLrSvcX0zqaubasEERHk9pqK6EgS6cvh4fAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"21c3437f07487b76770f2d3c021ac3491dcde70feac6cf20d6e5bafba1c72384","last_reissued_at":"2026-07-05T11:39:14.821071Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:39:14.821071Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.12396","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":"2026-07-05T11:39:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PjhwpufOdDu+uQiIq8gQQS8BmMgGLgWUwCxn228yCfszTOB+OjQaaUnp2m9diltXWfC8vz2SiMEOVn3SWGZCDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T05:42:00.362673Z"},"content_sha256":"345b4de6a3d4bdd65fd167155991273aec797e2a369a675674abfe491f967116","schema_version":"1.0","event_id":"sha256:345b4de6a3d4bdd65fd167155991273aec797e2a369a675674abfe491f967116"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:EHBUG7YHJB5XM5YPFU6AEGWDJE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abbas Khan, Arslan Munir, Hari Kalva, Hayat Ullah","submitted_at":"2025-07-16T16:41:47Z","abstract_excerpt":"Realistic human surveillance datasets are crucial for training and evaluating computer vision models under real-world conditions, facilitating the development of robust algorithms for human and human-interacting object detection in complex environments. These datasets need to offer diverse and challenging data to enable a comprehensive assessment of model performance and the creation of more reliable surveillance systems for public safety. To this end, we present two visual object detection benchmarks named OD-VIRAT Large and OD-VIRAT Tiny, aiming at advancing visual understanding tasks in sur"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.12396","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/2507.12396/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":"2026-07-05T11:39:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hdqU+RYUPkhUzqkPH6OLP2YuxRDOg6bTrCuRcb0Iihp3j1UUmzm41xgAu/ogXmmkBo7yU6QvHo1Pu6KytdgYBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T05:42:00.363290Z"},"content_sha256":"de614068fd02ba12a65164f8bc9541aec8eaec7c78ed66a9951e9c6b6e7cb8fc","schema_version":"1.0","event_id":"sha256:de614068fd02ba12a65164f8bc9541aec8eaec7c78ed66a9951e9c6b6e7cb8fc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EHBUG7YHJB5XM5YPFU6AEGWDJE/bundle.json","state_url":"https://pith.science/pith/EHBUG7YHJB5XM5YPFU6AEGWDJE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EHBUG7YHJB5XM5YPFU6AEGWDJE/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":"2026-08-07T05:42:00Z","links":{"resolver":"https://pith.science/pith/EHBUG7YHJB5XM5YPFU6AEGWDJE","bundle":"https://pith.science/pith/EHBUG7YHJB5XM5YPFU6AEGWDJE/bundle.json","state":"https://pith.science/pith/EHBUG7YHJB5XM5YPFU6AEGWDJE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EHBUG7YHJB5XM5YPFU6AEGWDJE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:EHBUG7YHJB5XM5YPFU6AEGWDJE","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":"b5605527d373c21cac3f6303689456201d1b7ed717c09f7cc3cd15f687f8dc85","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-16T16:41:47Z","title_canon_sha256":"5b43da02704f178cdf6bce3996c669a3714bcf63f089203fa196548c454154ca"},"schema_version":"1.0","source":{"id":"2507.12396","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.12396","created_at":"2026-07-05T11:39:14Z"},{"alias_kind":"arxiv_version","alias_value":"2507.12396v2","created_at":"2026-07-05T11:39:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.12396","created_at":"2026-07-05T11:39:14Z"},{"alias_kind":"pith_short_12","alias_value":"EHBUG7YHJB5X","created_at":"2026-07-05T11:39:14Z"},{"alias_kind":"pith_short_16","alias_value":"EHBUG7YHJB5XM5YP","created_at":"2026-07-05T11:39:14Z"},{"alias_kind":"pith_short_8","alias_value":"EHBUG7YH","created_at":"2026-07-05T11:39:14Z"}],"graph_snapshots":[{"event_id":"sha256:de614068fd02ba12a65164f8bc9541aec8eaec7c78ed66a9951e9c6b6e7cb8fc","target":"graph","created_at":"2026-07-05T11:39:14Z","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/2507.12396/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Realistic human surveillance datasets are crucial for training and evaluating computer vision models under real-world conditions, facilitating the development of robust algorithms for human and human-interacting object detection in complex environments. These datasets need to offer diverse and challenging data to enable a comprehensive assessment of model performance and the creation of more reliable surveillance systems for public safety. To this end, we present two visual object detection benchmarks named OD-VIRAT Large and OD-VIRAT Tiny, aiming at advancing visual understanding tasks in sur","authors_text":"Abbas Khan, Arslan Munir, Hari Kalva, Hayat Ullah","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-16T16:41:47Z","title":"OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.12396","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":"sha256:345b4de6a3d4bdd65fd167155991273aec797e2a369a675674abfe491f967116","target":"record","created_at":"2026-07-05T11:39:14Z","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":"b5605527d373c21cac3f6303689456201d1b7ed717c09f7cc3cd15f687f8dc85","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-16T16:41:47Z","title_canon_sha256":"5b43da02704f178cdf6bce3996c669a3714bcf63f089203fa196548c454154ca"},"schema_version":"1.0","source":{"id":"2507.12396","kind":"arxiv","version":2}},"canonical_sha256":"21c3437f07487b76770f2d3c021ac3491dcde70feac6cf20d6e5bafba1c72384","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"21c3437f07487b76770f2d3c021ac3491dcde70feac6cf20d6e5bafba1c72384","first_computed_at":"2026-07-05T11:39:14.821071Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:39:14.821071Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VFVtAoTVMPoyz8CVfRdeglFpEJUUUP4jeMXLBbbawQiE9fOTdcfLrSvcX0zqaubasEERHk9pqK6EgS6cvh4fAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:39:14.821574Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.12396","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:345b4de6a3d4bdd65fd167155991273aec797e2a369a675674abfe491f967116","sha256:de614068fd02ba12a65164f8bc9541aec8eaec7c78ed66a9951e9c6b6e7cb8fc"],"state_sha256":"bfb5a7a87d8ed3f2f04fc4fbbe071d0235399fdad3fd8ab9a3d848a81bd9b13d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8Xagr1Zx3zO3jtgzmlKqv8PAH29m1PKVa08FITSEuy0tyTevauOGxxQkeX75PG8vv4UDMHmuEQ7eGjjF/djjBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T05:42:00.368526Z","bundle_sha256":"42745a2bafc39b6ba667206dbcc5b9188be29c9e637dd7931c3f68cfe7c34913"}}