{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AJFMWHRAYDZTBIVUEWZPL3VJXZ","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":"6295f5f6a53f7be78be4dea7d8496a7b26d8364e02b1cfa5de335df3e6a9745b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-31T00:37:12Z","title_canon_sha256":"852dba596dc68456fd7642107a80297582564f5f3af65066dba9cafd9af2e9c4"},"schema_version":"1.0","source":{"id":"2506.00324","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.00324","created_at":"2026-07-05T11:13:32Z"},{"alias_kind":"arxiv_version","alias_value":"2506.00324v1","created_at":"2026-07-05T11:13:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.00324","created_at":"2026-07-05T11:13:32Z"},{"alias_kind":"pith_short_12","alias_value":"AJFMWHRAYDZT","created_at":"2026-07-05T11:13:32Z"},{"alias_kind":"pith_short_16","alias_value":"AJFMWHRAYDZTBIVU","created_at":"2026-07-05T11:13:32Z"},{"alias_kind":"pith_short_8","alias_value":"AJFMWHRA","created_at":"2026-07-05T11:13:32Z"}],"graph_snapshots":[{"event_id":"sha256:5000110e4cc6b00b8d808692cd5f40e9e76037e6424dbf4c88a2557f7ce0b53b","target":"graph","created_at":"2026-07-05T11:13:32Z","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/2506.00324/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conventional training for optical flow and stereo depth models typically employs a uniform loss function across all pixels. However, this one-size-fits-all approach often overlooks the significant variations in learning difficulty among individual pixels and contextual regions. This paper investigates the uncertainty-based confidence maps which capture these spatially varying learning difficulties and introduces tailored solutions to address them. We first present the Difficulty Balancing (DB) loss, which utilizes an error-based confidence measure to encourage the network to focus more on chal","authors_text":"Fatih Porikli, Hong Cai, Jamie Menjay Lin, Jisoo Jeong","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-31T00:37:12Z","title":"Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.00324","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:ac68275422aeea70bc9365a6929021fdc5a1ad9d9a5aa5eb19e4fa5127148738","target":"record","created_at":"2026-07-05T11:13:32Z","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":"6295f5f6a53f7be78be4dea7d8496a7b26d8364e02b1cfa5de335df3e6a9745b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-31T00:37:12Z","title_canon_sha256":"852dba596dc68456fd7642107a80297582564f5f3af65066dba9cafd9af2e9c4"},"schema_version":"1.0","source":{"id":"2506.00324","kind":"arxiv","version":1}},"canonical_sha256":"024acb1e20c0f330a2b425b2f5eea9be4b86f1cbe27ba3dc45cdedbfd795f256","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"024acb1e20c0f330a2b425b2f5eea9be4b86f1cbe27ba3dc45cdedbfd795f256","first_computed_at":"2026-07-05T11:13:32.560765Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:13:32.560765Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bG6AeMIIM85YoNXTwpel1pl95mKuoq9k7azxWhOOSKo0Qwsl33SO7GHgVIScXLjV5JV7plbZtNVq8BPGVn+IAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:13:32.561286Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.00324","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ac68275422aeea70bc9365a6929021fdc5a1ad9d9a5aa5eb19e4fa5127148738","sha256:5000110e4cc6b00b8d808692cd5f40e9e76037e6424dbf4c88a2557f7ce0b53b"],"state_sha256":"9ed1656f4c94eeb04857cb0302e6298c99412cd75e93be15a0ec27c3c77150dc"}