{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:FCO3XE3R65CGA6SX3TCM7WNUZG","short_pith_number":"pith:FCO3XE3R","canonical_record":{"source":{"id":"2403.18238","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-27T04:03:55Z","cross_cats_sorted":[],"title_canon_sha256":"c973706439d4601e7721a26eaeb836916cd3ca424850f1ce89b61016c82600f7","abstract_canon_sha256":"a67d2fd1345d4611eaa027a44fc796a2d80c662e7164ff9e490bb1b2e0ba9e63"},"schema_version":"1.0"},"canonical_sha256":"289dbb9371f744607a57dcc4cfd9b4c98f6f2012d9e537835a62e754aa3188f8","source":{"kind":"arxiv","id":"2403.18238","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.18238","created_at":"2026-07-05T08:01:06Z"},{"alias_kind":"arxiv_version","alias_value":"2403.18238v1","created_at":"2026-07-05T08:01:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.18238","created_at":"2026-07-05T08:01:06Z"},{"alias_kind":"pith_short_12","alias_value":"FCO3XE3R65CG","created_at":"2026-07-05T08:01:06Z"},{"alias_kind":"pith_short_16","alias_value":"FCO3XE3R65CGA6SX","created_at":"2026-07-05T08:01:06Z"},{"alias_kind":"pith_short_8","alias_value":"FCO3XE3R","created_at":"2026-07-05T08:01:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:FCO3XE3R65CGA6SX3TCM7WNUZG","target":"record","payload":{"canonical_record":{"source":{"id":"2403.18238","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-27T04:03:55Z","cross_cats_sorted":[],"title_canon_sha256":"c973706439d4601e7721a26eaeb836916cd3ca424850f1ce89b61016c82600f7","abstract_canon_sha256":"a67d2fd1345d4611eaa027a44fc796a2d80c662e7164ff9e490bb1b2e0ba9e63"},"schema_version":"1.0"},"canonical_sha256":"289dbb9371f744607a57dcc4cfd9b4c98f6f2012d9e537835a62e754aa3188f8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:01:06.555808Z","signature_b64":"yXSQUOplX7vC9NO3A2kQBqW5IDV91pjq4xGnMfldrE+mg3oN2tSdldRThlcZFrsY0k18jBy3OZbuW0O4JooHAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"289dbb9371f744607a57dcc4cfd9b4c98f6f2012d9e537835a62e754aa3188f8","last_reissued_at":"2026-07-05T08:01:06.555391Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:01:06.555391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.18238","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":"2026-07-05T08:01:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0XDkeEHKVFagElEMTFe4UMUX1zLoodlwkKm81Mrtt9vH1xnIeGdIcdMhdz8KVBmq++UBa6amDyDLi4FZ+XvqDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:56:21.364676Z"},"content_sha256":"e3f2db3662e317ea8e589e9512c21f8ec69dfcfd01d94b40ce4d1ad7486c6ea8","schema_version":"1.0","event_id":"sha256:e3f2db3662e317ea8e589e9512c21f8ec69dfcfd01d94b40ce4d1ad7486c6ea8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:FCO3XE3R65CGA6SX3TCM7WNUZG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TAFormer: A Unified Target-Aware Transformer for Video and Motion Joint Prediction in Aerial Scenes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenglong Liu, Hanbo Bi, Hongfeng Yu, Kun Fu, Liangyu Xu, Wanxuan Lu, Xian Sun, Yongqiang Mao","submitted_at":"2024-03-27T04:03:55Z","abstract_excerpt":"As drone technology advances, using unmanned aerial vehicles for aerial surveys has become the dominant trend in modern low-altitude remote sensing. The surge in aerial video data necessitates accurate prediction for future scenarios and motion states of the interested target, particularly in applications like traffic management and disaster response. Existing video prediction methods focus solely on predicting future scenes (video frames), suffering from the neglect of explicitly modeling target's motion states, which is crucial for aerial video interpretation. To address this issue, we intro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.18238","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/2403.18238/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":"2026-07-05T08:01:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZRVwmux0PT48IcCqOQ4BdQHA77gGhISJPHAecI7TZ0HSvbRIW11d0TVqTjdncw64l/K9OpHEUUHw75rLenNPAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:56:21.365040Z"},"content_sha256":"1f51f1bdfafb17d14f32556a6591ae1390572eecaa7ecaf7ec888fd19b644d63","schema_version":"1.0","event_id":"sha256:1f51f1bdfafb17d14f32556a6591ae1390572eecaa7ecaf7ec888fd19b644d63"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FCO3XE3R65CGA6SX3TCM7WNUZG/bundle.json","state_url":"https://pith.science/pith/FCO3XE3R65CGA6SX3TCM7WNUZG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FCO3XE3R65CGA6SX3TCM7WNUZG/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":"2026-07-07T07:56:21Z","links":{"resolver":"https://pith.science/pith/FCO3XE3R65CGA6SX3TCM7WNUZG","bundle":"https://pith.science/pith/FCO3XE3R65CGA6SX3TCM7WNUZG/bundle.json","state":"https://pith.science/pith/FCO3XE3R65CGA6SX3TCM7WNUZG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FCO3XE3R65CGA6SX3TCM7WNUZG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FCO3XE3R65CGA6SX3TCM7WNUZG","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":"a67d2fd1345d4611eaa027a44fc796a2d80c662e7164ff9e490bb1b2e0ba9e63","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-27T04:03:55Z","title_canon_sha256":"c973706439d4601e7721a26eaeb836916cd3ca424850f1ce89b61016c82600f7"},"schema_version":"1.0","source":{"id":"2403.18238","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.18238","created_at":"2026-07-05T08:01:06Z"},{"alias_kind":"arxiv_version","alias_value":"2403.18238v1","created_at":"2026-07-05T08:01:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.18238","created_at":"2026-07-05T08:01:06Z"},{"alias_kind":"pith_short_12","alias_value":"FCO3XE3R65CG","created_at":"2026-07-05T08:01:06Z"},{"alias_kind":"pith_short_16","alias_value":"FCO3XE3R65CGA6SX","created_at":"2026-07-05T08:01:06Z"},{"alias_kind":"pith_short_8","alias_value":"FCO3XE3R","created_at":"2026-07-05T08:01:06Z"}],"graph_snapshots":[{"event_id":"sha256:1f51f1bdfafb17d14f32556a6591ae1390572eecaa7ecaf7ec888fd19b644d63","target":"graph","created_at":"2026-07-05T08:01:06Z","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/2403.18238/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As drone technology advances, using unmanned aerial vehicles for aerial surveys has become the dominant trend in modern low-altitude remote sensing. The surge in aerial video data necessitates accurate prediction for future scenarios and motion states of the interested target, particularly in applications like traffic management and disaster response. Existing video prediction methods focus solely on predicting future scenes (video frames), suffering from the neglect of explicitly modeling target's motion states, which is crucial for aerial video interpretation. To address this issue, we intro","authors_text":"Chenglong Liu, Hanbo Bi, Hongfeng Yu, Kun Fu, Liangyu Xu, Wanxuan Lu, Xian Sun, Yongqiang Mao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-27T04:03:55Z","title":"TAFormer: A Unified Target-Aware Transformer for Video and Motion Joint Prediction in Aerial Scenes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.18238","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:e3f2db3662e317ea8e589e9512c21f8ec69dfcfd01d94b40ce4d1ad7486c6ea8","target":"record","created_at":"2026-07-05T08:01:06Z","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":"a67d2fd1345d4611eaa027a44fc796a2d80c662e7164ff9e490bb1b2e0ba9e63","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-27T04:03:55Z","title_canon_sha256":"c973706439d4601e7721a26eaeb836916cd3ca424850f1ce89b61016c82600f7"},"schema_version":"1.0","source":{"id":"2403.18238","kind":"arxiv","version":1}},"canonical_sha256":"289dbb9371f744607a57dcc4cfd9b4c98f6f2012d9e537835a62e754aa3188f8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"289dbb9371f744607a57dcc4cfd9b4c98f6f2012d9e537835a62e754aa3188f8","first_computed_at":"2026-07-05T08:01:06.555391Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:01:06.555391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yXSQUOplX7vC9NO3A2kQBqW5IDV91pjq4xGnMfldrE+mg3oN2tSdldRThlcZFrsY0k18jBy3OZbuW0O4JooHAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:01:06.555808Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.18238","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e3f2db3662e317ea8e589e9512c21f8ec69dfcfd01d94b40ce4d1ad7486c6ea8","sha256:1f51f1bdfafb17d14f32556a6591ae1390572eecaa7ecaf7ec888fd19b644d63"],"state_sha256":"3ddad2ac04b9f1cede743e58e8361a01bddcbcfd9f799914454d6998ca60c2bc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gfwrf0Tl/m+gU7rbH0n45EYNhbyv8fuCiVuEu1+qe1JycuBszyDhUoFzjLqoYIdQXThXvzZu9waiTjWHE4WzBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T07:56:21.367039Z","bundle_sha256":"9d1d17822bfdc57c7313e989d620aaf4b01ef6aececd213bdd0144c4c9029741"}}