{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:FV33JI6P52VOZ6PVTYCSIB5I4K","short_pith_number":"pith:FV33JI6P","canonical_record":{"source":{"id":"2507.12087","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-16T09:51:19Z","cross_cats_sorted":[],"title_canon_sha256":"6f58b0f9ff994558fa6bcae9ae087be63a5d62f910e3fe65ca2d06f0ae190185","abstract_canon_sha256":"05d70397a3d467c684c6262dde8992bf1d9e163b61104694459535cddc916e8e"},"schema_version":"1.0"},"canonical_sha256":"2d77b4a3cfeeaaecf9f59e052407a8e2958cff9eb3e17bc25f855959e7307155","source":{"kind":"arxiv","id":"2507.12087","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.12087","created_at":"2026-07-05T11:40:01Z"},{"alias_kind":"arxiv_version","alias_value":"2507.12087v2","created_at":"2026-07-05T11:40:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.12087","created_at":"2026-07-05T11:40:01Z"},{"alias_kind":"pith_short_12","alias_value":"FV33JI6P52VO","created_at":"2026-07-05T11:40:01Z"},{"alias_kind":"pith_short_16","alias_value":"FV33JI6P52VOZ6PV","created_at":"2026-07-05T11:40:01Z"},{"alias_kind":"pith_short_8","alias_value":"FV33JI6P","created_at":"2026-07-05T11:40:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:FV33JI6P52VOZ6PVTYCSIB5I4K","target":"record","payload":{"canonical_record":{"source":{"id":"2507.12087","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-16T09:51:19Z","cross_cats_sorted":[],"title_canon_sha256":"6f58b0f9ff994558fa6bcae9ae087be63a5d62f910e3fe65ca2d06f0ae190185","abstract_canon_sha256":"05d70397a3d467c684c6262dde8992bf1d9e163b61104694459535cddc916e8e"},"schema_version":"1.0"},"canonical_sha256":"2d77b4a3cfeeaaecf9f59e052407a8e2958cff9eb3e17bc25f855959e7307155","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:40:01.508988Z","signature_b64":"TUoaC8rmwkcJlN70ihu/L0yGjQjkCV/ljs9jQX6hqt890i9PkKz+VnS3RZWnhdc3qdmdKupoz/xVbbVkOz3EAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2d77b4a3cfeeaaecf9f59e052407a8e2958cff9eb3e17bc25f855959e7307155","last_reissued_at":"2026-07-05T11:40:01.508576Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:40:01.508576Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.12087","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":"2026-07-05T11:40:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xUFRvsD4ydh2FYP/zXLdFQ2z9DQ9EN21SAo38WECDHUcLssI0J0VCe1GKUDzlcUcfDeX7+K+mCu/djVVS29pAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:01:58.063451Z"},"content_sha256":"7ca5aa895d142a1de423dabd7633ec7bfa9041df5ea8d54379bd48fe170c641a","schema_version":"1.0","event_id":"sha256:7ca5aa895d142a1de423dabd7633ec7bfa9041df5ea8d54379bd48fe170c641a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:FV33JI6P52VOZ6PVTYCSIB5I4K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"YOLOv8-SMOT: An Efficient and Robust Framework for Real-Time Small Object Tracking via Slice-Assisted Training and Adaptive Association","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guang Liang, Xiang Yu, Xinyao Liu","submitted_at":"2025-07-16T09:51:19Z","abstract_excerpt":"Tracking small, agile multi-objects (SMOT), such as birds, from an Unmanned Aerial Vehicle (UAV) perspective is a highly challenging computer vision task. The difficulty stems from three main sources: the extreme scarcity of target appearance features, the complex motion entanglement caused by the combined dynamics of the camera and the targets themselves, and the frequent occlusions and identity ambiguity arising from dense flocking behavior. This paper details our championship-winning solution in the MVA 2025 \"Finding Birds\" Small Multi-Object Tracking Challenge (SMOT4SB), which adopts the t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.12087","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/2507.12087/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":"2026-07-05T11:40:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hrz2+Yeyt3i3e/z2E0A+2hdsnvSQbMSW+R9Mj4au2WN65oQJMcOif9ZOsSTK/k1zbWpM3DC3rIPbOY3nGz1PCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:01:58.064522Z"},"content_sha256":"fa7a37c02329054eaffc2b195f22185777de8dd2f4086a0e1b017e09c1f562ef","schema_version":"1.0","event_id":"sha256:fa7a37c02329054eaffc2b195f22185777de8dd2f4086a0e1b017e09c1f562ef"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FV33JI6P52VOZ6PVTYCSIB5I4K/bundle.json","state_url":"https://pith.science/pith/FV33JI6P52VOZ6PVTYCSIB5I4K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FV33JI6P52VOZ6PVTYCSIB5I4K/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":"2026-08-07T08:01:58Z","links":{"resolver":"https://pith.science/pith/FV33JI6P52VOZ6PVTYCSIB5I4K","bundle":"https://pith.science/pith/FV33JI6P52VOZ6PVTYCSIB5I4K/bundle.json","state":"https://pith.science/pith/FV33JI6P52VOZ6PVTYCSIB5I4K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FV33JI6P52VOZ6PVTYCSIB5I4K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:FV33JI6P52VOZ6PVTYCSIB5I4K","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":"05d70397a3d467c684c6262dde8992bf1d9e163b61104694459535cddc916e8e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-16T09:51:19Z","title_canon_sha256":"6f58b0f9ff994558fa6bcae9ae087be63a5d62f910e3fe65ca2d06f0ae190185"},"schema_version":"1.0","source":{"id":"2507.12087","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.12087","created_at":"2026-07-05T11:40:01Z"},{"alias_kind":"arxiv_version","alias_value":"2507.12087v2","created_at":"2026-07-05T11:40:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.12087","created_at":"2026-07-05T11:40:01Z"},{"alias_kind":"pith_short_12","alias_value":"FV33JI6P52VO","created_at":"2026-07-05T11:40:01Z"},{"alias_kind":"pith_short_16","alias_value":"FV33JI6P52VOZ6PV","created_at":"2026-07-05T11:40:01Z"},{"alias_kind":"pith_short_8","alias_value":"FV33JI6P","created_at":"2026-07-05T11:40:01Z"}],"graph_snapshots":[{"event_id":"sha256:fa7a37c02329054eaffc2b195f22185777de8dd2f4086a0e1b017e09c1f562ef","target":"graph","created_at":"2026-07-05T11:40:01Z","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/2507.12087/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Tracking small, agile multi-objects (SMOT), such as birds, from an Unmanned Aerial Vehicle (UAV) perspective is a highly challenging computer vision task. The difficulty stems from three main sources: the extreme scarcity of target appearance features, the complex motion entanglement caused by the combined dynamics of the camera and the targets themselves, and the frequent occlusions and identity ambiguity arising from dense flocking behavior. This paper details our championship-winning solution in the MVA 2025 \"Finding Birds\" Small Multi-Object Tracking Challenge (SMOT4SB), which adopts the t","authors_text":"Guang Liang, Xiang Yu, Xinyao Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-16T09:51:19Z","title":"YOLOv8-SMOT: An Efficient and Robust Framework for Real-Time Small Object Tracking via Slice-Assisted Training and Adaptive Association"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.12087","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":"sha256:7ca5aa895d142a1de423dabd7633ec7bfa9041df5ea8d54379bd48fe170c641a","target":"record","created_at":"2026-07-05T11:40:01Z","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":"05d70397a3d467c684c6262dde8992bf1d9e163b61104694459535cddc916e8e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-16T09:51:19Z","title_canon_sha256":"6f58b0f9ff994558fa6bcae9ae087be63a5d62f910e3fe65ca2d06f0ae190185"},"schema_version":"1.0","source":{"id":"2507.12087","kind":"arxiv","version":2}},"canonical_sha256":"2d77b4a3cfeeaaecf9f59e052407a8e2958cff9eb3e17bc25f855959e7307155","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2d77b4a3cfeeaaecf9f59e052407a8e2958cff9eb3e17bc25f855959e7307155","first_computed_at":"2026-07-05T11:40:01.508576Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:40:01.508576Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TUoaC8rmwkcJlN70ihu/L0yGjQjkCV/ljs9jQX6hqt890i9PkKz+VnS3RZWnhdc3qdmdKupoz/xVbbVkOz3EAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:40:01.508988Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.12087","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7ca5aa895d142a1de423dabd7633ec7bfa9041df5ea8d54379bd48fe170c641a","sha256:fa7a37c02329054eaffc2b195f22185777de8dd2f4086a0e1b017e09c1f562ef"],"state_sha256":"70768417c183fa7d536dc9655354d7c4f96e13cdd7801f5b0e8e4a2be4d9c7f8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ubP1qRWYrNAoELPe24jlAspMCCeT22h4cBIwshUDBRcGGcZTTG8kkSmhlsWToM6wKZcLqYKAJuNOfMSxoI4/AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T08:01:58.073622Z","bundle_sha256":"4c1ffdf499be619ed4a0cb129bb1b91d178bd7eb4acb797e98119793589286a2"}}