{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:R6JHSUHIND23U5LSOGBM3N4R2N","short_pith_number":"pith:R6JHSUHI","schema_version":"1.0","canonical_sha256":"8f927950e868f5ba75727182cdb791d34f4cc701f77947a9aea21a199ae761c1","source":{"kind":"arxiv","id":"2311.17099","version":1},"attestation_state":"computed","paper":{"title":"StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Guoqing Liu, Huaxia Li, Jiaming Liu, Shangkun Sun, Thomas H. Li, Wei Gao","submitted_at":"2023-11-28T07:53:51Z","abstract_excerpt":"Occlusions between consecutive frames have long posed a significant challenge in optical flow estimation. The inherent ambiguity introduced by occlusions directly violates the brightness constancy constraint and considerably hinders pixel-to-pixel matching. To address this issue, multi-frame optical flow methods leverage adjacent frames to mitigate the local ambiguity. Nevertheless, prior multi-frame methods predominantly adopt recursive flow estimation, resulting in a considerable computational overlap. In contrast, we propose a streamlined in-batch framework that eliminates the need for exte"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2311.17099","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-28T07:53:51Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3b4bac85c05b9b790610aa8b79de976438afe31eee73a2c00c1981cef2d78c89","abstract_canon_sha256":"66a025b3b1ecf9d85d29c27e0e044fc088d7f1c540f48c60bf0e0e5f1a38b1f7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:17:57.460831Z","signature_b64":"nj9CZ2x8pI1LlmSVtyrsyCewRvqkmF6cQxDucTb0wR2HELagzb1aAshzSvu6tppFAFdvtERwOrw/zlq/wN+aCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8f927950e868f5ba75727182cdb791d34f4cc701f77947a9aea21a199ae761c1","last_reissued_at":"2026-07-05T07:17:57.460347Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:17:57.460347Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Guoqing Liu, Huaxia Li, Jiaming Liu, Shangkun Sun, Thomas H. Li, Wei Gao","submitted_at":"2023-11-28T07:53:51Z","abstract_excerpt":"Occlusions between consecutive frames have long posed a significant challenge in optical flow estimation. The inherent ambiguity introduced by occlusions directly violates the brightness constancy constraint and considerably hinders pixel-to-pixel matching. To address this issue, multi-frame optical flow methods leverage adjacent frames to mitigate the local ambiguity. Nevertheless, prior multi-frame methods predominantly adopt recursive flow estimation, resulting in a considerable computational overlap. In contrast, we propose a streamlined in-batch framework that eliminates the need for exte"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.17099","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/2311.17099/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2311.17099","created_at":"2026-07-05T07:17:57.460417+00:00"},{"alias_kind":"arxiv_version","alias_value":"2311.17099v1","created_at":"2026-07-05T07:17:57.460417+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.17099","created_at":"2026-07-05T07:17:57.460417+00:00"},{"alias_kind":"pith_short_12","alias_value":"R6JHSUHIND23","created_at":"2026-07-05T07:17:57.460417+00:00"},{"alias_kind":"pith_short_16","alias_value":"R6JHSUHIND23U5LS","created_at":"2026-07-05T07:17:57.460417+00:00"},{"alias_kind":"pith_short_8","alias_value":"R6JHSUHI","created_at":"2026-07-05T07:17:57.460417+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/R6JHSUHIND23U5LSOGBM3N4R2N","json":"https://pith.science/pith/R6JHSUHIND23U5LSOGBM3N4R2N.json","graph_json":"https://pith.science/api/pith-number/R6JHSUHIND23U5LSOGBM3N4R2N/graph.json","events_json":"https://pith.science/api/pith-number/R6JHSUHIND23U5LSOGBM3N4R2N/events.json","paper":"https://pith.science/paper/R6JHSUHI"},"agent_actions":{"view_html":"https://pith.science/pith/R6JHSUHIND23U5LSOGBM3N4R2N","download_json":"https://pith.science/pith/R6JHSUHIND23U5LSOGBM3N4R2N.json","view_paper":"https://pith.science/paper/R6JHSUHI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2311.17099&json=true","fetch_graph":"https://pith.science/api/pith-number/R6JHSUHIND23U5LSOGBM3N4R2N/graph.json","fetch_events":"https://pith.science/api/pith-number/R6JHSUHIND23U5LSOGBM3N4R2N/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/R6JHSUHIND23U5LSOGBM3N4R2N/action/timestamp_anchor","attest_storage":"https://pith.science/pith/R6JHSUHIND23U5LSOGBM3N4R2N/action/storage_attestation","attest_author":"https://pith.science/pith/R6JHSUHIND23U5LSOGBM3N4R2N/action/author_attestation","sign_citation":"https://pith.science/pith/R6JHSUHIND23U5LSOGBM3N4R2N/action/citation_signature","submit_replication":"https://pith.science/pith/R6JHSUHIND23U5LSOGBM3N4R2N/action/replication_record"}},"created_at":"2026-07-05T07:17:57.460417+00:00","updated_at":"2026-07-05T07:17:57.460417+00:00"}