{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:F3GXJNUS2KEDYJ2DYTL4SZK43A","short_pith_number":"pith:F3GXJNUS","canonical_record":{"source":{"id":"2607.10427","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-11T18:21:36Z","cross_cats_sorted":[],"title_canon_sha256":"a9f566b942a840687131ddf9fcaf8741789f45ee70084541fe45b068cd3fd9a5","abstract_canon_sha256":"53db907d52efddc438252be0075f25b8f957f7b2bc8e8b2dff6c13fcff4c4dca"},"schema_version":"1.0"},"canonical_sha256":"2ecd74b692d2883c2743c4d7c9655cd81346748a9774e95f2ad4b73eae3f950a","source":{"kind":"arxiv","id":"2607.10427","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.10427","created_at":"2026-07-14T01:21:15Z"},{"alias_kind":"arxiv_version","alias_value":"2607.10427v1","created_at":"2026-07-14T01:21:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.10427","created_at":"2026-07-14T01:21:15Z"},{"alias_kind":"pith_short_12","alias_value":"F3GXJNUS2KED","created_at":"2026-07-14T01:21:15Z"},{"alias_kind":"pith_short_16","alias_value":"F3GXJNUS2KEDYJ2D","created_at":"2026-07-14T01:21:15Z"},{"alias_kind":"pith_short_8","alias_value":"F3GXJNUS","created_at":"2026-07-14T01:21:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:F3GXJNUS2KEDYJ2DYTL4SZK43A","target":"record","payload":{"canonical_record":{"source":{"id":"2607.10427","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-11T18:21:36Z","cross_cats_sorted":[],"title_canon_sha256":"a9f566b942a840687131ddf9fcaf8741789f45ee70084541fe45b068cd3fd9a5","abstract_canon_sha256":"53db907d52efddc438252be0075f25b8f957f7b2bc8e8b2dff6c13fcff4c4dca"},"schema_version":"1.0"},"canonical_sha256":"2ecd74b692d2883c2743c4d7c9655cd81346748a9774e95f2ad4b73eae3f950a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-14T01:21:15.382091Z","signature_b64":"zxHvndKbG/UjD2dj6xDLC+kr6nx0s5gE+oX+lHLiktp1oRBSe0YZSTR/Uhc0qUrEHr2OY0X9hOgpmEtpaWIJDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2ecd74b692d2883c2743c4d7c9655cd81346748a9774e95f2ad4b73eae3f950a","last_reissued_at":"2026-07-14T01:21:15.381258Z","signature_status":"signed_v1","first_computed_at":"2026-07-14T01:21:15.381258Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.10427","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":"2026-07-14T01:21:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7yA8YI9H1o70fUUU+XNuw41dOL0q8pTjTX47MMxJ3KQHBjTZc/p6mxGiGC0AwzJ4h8UdkVFJelTozL/vnNbCAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T03:14:37.810897Z"},"content_sha256":"e2151af5f64cd218185646541d523e1df9b0e4a8ede0718d4a1ad3766a1c6d1a","schema_version":"1.0","event_id":"sha256:e2151af5f64cd218185646541d523e1df9b0e4a8ede0718d4a1ad3766a1c6d1a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:F3GXJNUS2KEDYJ2DYTL4SZK43A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"BOCCHI: A More Realistic and Challenging Benchmark for Local Motion Blur Detection with MSDCT-UNet","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cheng-Yuan Chiang, Jian-Jiun Ding, Kuan-Lin Chen, Yuan-Kang Lee","submitted_at":"2026-07-11T18:21:36Z","abstract_excerpt":"Local motion blur detection requires pixel-level localization of blurred regions. Existing benchmarks let models rely on gradient shortcuts that fail to transfer. We introduce BOCCHI (Blurred Objects Captured across Cameras with Human-annotated Imagery), a real-captured benchmark whose sharp regions overlap the blur gradient distribution and defeat these shortcuts, and propose MSDCT-UNet (Multi-Scale Discrete Cosine Transform UNet), a frequency-aware encoder-decoder injecting multi-scale DCT priors through DCT Attention and FiLM. MSDCT-UNet ranks first in in-domain mIoU and boundary localizati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.10427","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/2607.10427/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":"2026-07-14T01:21:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HMm40G6B9su+o1ey5tMiYuAqJ4d+wiQx2rhGlniTVrzhSb1I65HoeRpca8BF4M7skzpcc0Pzs39sIkhT6VroDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T03:14:37.811903Z"},"content_sha256":"d9fa5c46e7e67268aacf90bd6e4a72a14d277e979e4eb122db570c5023ebb8fc","schema_version":"1.0","event_id":"sha256:d9fa5c46e7e67268aacf90bd6e4a72a14d277e979e4eb122db570c5023ebb8fc"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:F3GXJNUS2KEDYJ2DYTL4SZK43A","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/CVPR.2017.660) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Zhao, H., Shi, J., Qi, X., Wang, X., Jia, J.: Pyramid scene parsing network. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. pp. 6230–6239. IEEE Computer Society (2017).https://doi.org/10.1109/CVPR. 2017.660","arxiv_id":"2607.10427","detector":"doi_compliance","evidence":{"ref_index":50,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1109/cvpr","reconstructed_doi":"10.1109/CVPR.2017.660"},"severity":"advisory","ref_index":50,"audited_at":"2026-07-29T14:01:51.421447Z","event_type":"pith.integrity.v1","detected_doi":"10.1109/CVPR.2017.660","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"99d8dfc76fa9f6e8479b14fbffeefc8345b744d217b44f0f3a6962f7d25fb41c","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13692,"payload_sha256":"98f1d24f6986161cbf880ee41783f74da47b5bf813089993cebed6c822df82db","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-29T14:06:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z1Z3o60IMNgoKwSjos6LHIH3SQWscMMLDo2xyv1Hu/f3caCkq0Q4FjclrNtcf4vUnxPWGkrTz+o03szQHHeHCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T03:14:37.816700Z"},"content_sha256":"fc34e1f8e1ff371174775907106a640df4f18c8af6b58b62733cfa9c4e83b96e","schema_version":"1.0","event_id":"sha256:fc34e1f8e1ff371174775907106a640df4f18c8af6b58b62733cfa9c4e83b96e"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:F3GXJNUS2KEDYJ2DYTL4SZK43A","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/CVPR.2018.00745) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"IEEE Computer Society (2018).https://doi.org/10.1109/CVPR.2018. 00745","arxiv_id":"2607.10427","detector":"doi_compliance","evidence":{"ref_index":11,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1109/cvpr.2018","reconstructed_doi":"10.1109/CVPR.2018.00745"},"severity":"advisory","ref_index":11,"audited_at":"2026-07-29T14:01:51.421447Z","event_type":"pith.integrity.v1","detected_doi":"10.1109/CVPR.2018.00745","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"f610a0d6ee58c05d8a898779ca4043551857ffbb190699db7c17078c1f8d0e08","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13691,"payload_sha256":"792dcae881ce08057f1b9432b10f96e9f972756aa5be03b5f3372f183993a730","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-29T14:06:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0h0s0uvqcNuPkidmiu9omieYl4AnU4cQ0pgT2kmzZBwr2hj0fEQMnxQj805ecW26VeDA8LBW9rfWARYqvAzoAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T03:14:37.817384Z"},"content_sha256":"4aab57b35d0ace4fb62b2a86947c600a11996bb325bb19f56eb5c9f006ceec0f","schema_version":"1.0","event_id":"sha256:4aab57b35d0ace4fb62b2a86947c600a11996bb325bb19f56eb5c9f006ceec0f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F3GXJNUS2KEDYJ2DYTL4SZK43A/bundle.json","state_url":"https://pith.science/pith/F3GXJNUS2KEDYJ2DYTL4SZK43A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F3GXJNUS2KEDYJ2DYTL4SZK43A/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":"2026-08-04T03:14:37Z","links":{"resolver":"https://pith.science/pith/F3GXJNUS2KEDYJ2DYTL4SZK43A","bundle":"https://pith.science/pith/F3GXJNUS2KEDYJ2DYTL4SZK43A/bundle.json","state":"https://pith.science/pith/F3GXJNUS2KEDYJ2DYTL4SZK43A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F3GXJNUS2KEDYJ2DYTL4SZK43A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:F3GXJNUS2KEDYJ2DYTL4SZK43A","merge_version":"pith-open-graph-merge-v1","event_count":4,"valid_event_count":4,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"53db907d52efddc438252be0075f25b8f957f7b2bc8e8b2dff6c13fcff4c4dca","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-11T18:21:36Z","title_canon_sha256":"a9f566b942a840687131ddf9fcaf8741789f45ee70084541fe45b068cd3fd9a5"},"schema_version":"1.0","source":{"id":"2607.10427","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.10427","created_at":"2026-07-14T01:21:15Z"},{"alias_kind":"arxiv_version","alias_value":"2607.10427v1","created_at":"2026-07-14T01:21:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.10427","created_at":"2026-07-14T01:21:15Z"},{"alias_kind":"pith_short_12","alias_value":"F3GXJNUS2KED","created_at":"2026-07-14T01:21:15Z"},{"alias_kind":"pith_short_16","alias_value":"F3GXJNUS2KEDYJ2D","created_at":"2026-07-14T01:21:15Z"},{"alias_kind":"pith_short_8","alias_value":"F3GXJNUS","created_at":"2026-07-14T01:21:15Z"}],"graph_snapshots":[{"event_id":"sha256:d9fa5c46e7e67268aacf90bd6e4a72a14d277e979e4eb122db570c5023ebb8fc","target":"graph","created_at":"2026-07-14T01:21:15Z","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/2607.10427/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Local motion blur detection requires pixel-level localization of blurred regions. Existing benchmarks let models rely on gradient shortcuts that fail to transfer. We introduce BOCCHI (Blurred Objects Captured across Cameras with Human-annotated Imagery), a real-captured benchmark whose sharp regions overlap the blur gradient distribution and defeat these shortcuts, and propose MSDCT-UNet (Multi-Scale Discrete Cosine Transform UNet), a frequency-aware encoder-decoder injecting multi-scale DCT priors through DCT Attention and FiLM. MSDCT-UNet ranks first in in-domain mIoU and boundary localizati","authors_text":"Cheng-Yuan Chiang, Jian-Jiun Ding, Kuan-Lin Chen, Yuan-Kang Lee","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-11T18:21:36Z","title":"BOCCHI: A More Realistic and Challenging Benchmark for Local Motion Blur Detection with MSDCT-UNet"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.10427","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:e2151af5f64cd218185646541d523e1df9b0e4a8ede0718d4a1ad3766a1c6d1a","target":"record","created_at":"2026-07-14T01:21:15Z","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":"53db907d52efddc438252be0075f25b8f957f7b2bc8e8b2dff6c13fcff4c4dca","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-11T18:21:36Z","title_canon_sha256":"a9f566b942a840687131ddf9fcaf8741789f45ee70084541fe45b068cd3fd9a5"},"schema_version":"1.0","source":{"id":"2607.10427","kind":"arxiv","version":1}},"canonical_sha256":"2ecd74b692d2883c2743c4d7c9655cd81346748a9774e95f2ad4b73eae3f950a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2ecd74b692d2883c2743c4d7c9655cd81346748a9774e95f2ad4b73eae3f950a","first_computed_at":"2026-07-14T01:21:15.381258Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-14T01:21:15.381258Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zxHvndKbG/UjD2dj6xDLC+kr6nx0s5gE+oX+lHLiktp1oRBSe0YZSTR/Uhc0qUrEHr2OY0X9hOgpmEtpaWIJDg==","signature_status":"signed_v1","signed_at":"2026-07-14T01:21:15.382091Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.10427","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:4aab57b35d0ace4fb62b2a86947c600a11996bb325bb19f56eb5c9f006ceec0f","sha256:fc34e1f8e1ff371174775907106a640df4f18c8af6b58b62733cfa9c4e83b96e"]}],"invalid_events":[],"applied_event_ids":["sha256:e2151af5f64cd218185646541d523e1df9b0e4a8ede0718d4a1ad3766a1c6d1a","sha256:d9fa5c46e7e67268aacf90bd6e4a72a14d277e979e4eb122db570c5023ebb8fc"],"state_sha256":"79dbbb3315573e2e052f37281e67352e3b689c2db7bac91f6dcdfef60b70e9ff"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QRYyJowqNUCbpKAwkbh7+BvFntStHYzR+3iSdCsoRTDU1OjtX44kI9T3R3WRUbQ/ZMbNC5tNkp/tZ9ydF1SUCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T03:14:37.821788Z","bundle_sha256":"03247a62057e371974ac78f6e4d5708e0914b51776cd475ee9b20b204705d002"}}