{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:4HO77SSGCN6QHNUTXEWDQHWEVQ","short_pith_number":"pith:4HO77SSG","canonical_record":{"source":{"id":"2501.12604","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-01-22T03:01:54Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"bbf8349b68bda712c65cc62e6281db1c075b51a76ea7587645bdcffd942ea3da","abstract_canon_sha256":"3f91c083014b7a311d6633492ce9a8d20dfd2b0c3d6b7cf072de8f7785b7738a"},"schema_version":"1.0"},"canonical_sha256":"e1ddffca46137d03b693b92c381ec4ac3fcd4a7e40f958262994c19c8a49ec9c","source":{"kind":"arxiv","id":"2501.12604","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.12604","created_at":"2026-07-05T10:03:55Z"},{"alias_kind":"arxiv_version","alias_value":"2501.12604v1","created_at":"2026-07-05T10:03:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.12604","created_at":"2026-07-05T10:03:55Z"},{"alias_kind":"pith_short_12","alias_value":"4HO77SSGCN6Q","created_at":"2026-07-05T10:03:55Z"},{"alias_kind":"pith_short_16","alias_value":"4HO77SSGCN6QHNUT","created_at":"2026-07-05T10:03:55Z"},{"alias_kind":"pith_short_8","alias_value":"4HO77SSG","created_at":"2026-07-05T10:03:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:4HO77SSGCN6QHNUTXEWDQHWEVQ","target":"record","payload":{"canonical_record":{"source":{"id":"2501.12604","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-01-22T03:01:54Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"bbf8349b68bda712c65cc62e6281db1c075b51a76ea7587645bdcffd942ea3da","abstract_canon_sha256":"3f91c083014b7a311d6633492ce9a8d20dfd2b0c3d6b7cf072de8f7785b7738a"},"schema_version":"1.0"},"canonical_sha256":"e1ddffca46137d03b693b92c381ec4ac3fcd4a7e40f958262994c19c8a49ec9c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:03:55.571600Z","signature_b64":"QF9avMjGMeHX5Ylq10T9FwXFf7XhLfsvK8OPa+PwqrIiXZ04KK48BpnjbZKV0Bum9y7IaPcRrrLzq6G6W7MVAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e1ddffca46137d03b693b92c381ec4ac3fcd4a7e40f958262994c19c8a49ec9c","last_reissued_at":"2026-07-05T10:03:55.571116Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:03:55.571116Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.12604","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":"2026-07-05T10:03:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7jNpq8bwZNbxTAE+s+pEBLWOHJBxJZc2yYHM52bL3HClghf45BFM9j6W+CAMDDDaS1wCtRD6kIxQfWmmcm7hAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T01:57:59.367678Z"},"content_sha256":"e11b0777d88f0defe35fcbc2207007dcb0c11ec0cc3bd262d4cc3ffe0ef50f51","schema_version":"1.0","event_id":"sha256:e11b0777d88f0defe35fcbc2207007dcb0c11ec0cc3bd262d4cc3ffe0ef50f51"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:4HO77SSGCN6QHNUTXEWDQHWEVQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Image Motion Blur Removal in the Temporal Dimension with Video Diffusion Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Wang Pang, Xiang Zhu, Yechao Bai, Zhihao Zhan","submitted_at":"2025-01-22T03:01:54Z","abstract_excerpt":"Most motion deblurring algorithms rely on spatial-domain convolution models, which struggle with the complex, non-linear blur arising from camera shake and object motion. In contrast, we propose a novel single-image deblurring approach that treats motion blur as a temporal averaging phenomenon. Our core innovation lies in leveraging a pre-trained video diffusion transformer model to capture diverse motion dynamics within a latent space. It sidesteps explicit kernel estimation and effectively accommodates diverse motion patterns. We implement the algorithm within a diffusion-based inverse probl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.12604","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/2501.12604/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":"2026-07-05T10:03:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J7GabaUfzaWiBR9MMubFExX6hbextrxeLxm0CwszNvECB4rLoQswmGBQL9JZ5a5ABUJZKTAX4/UO5J5ATup3CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T01:57:59.368374Z"},"content_sha256":"472518de397d6853cfcc44372806409c1ea63622521e879d69a6915b89c5b51a","schema_version":"1.0","event_id":"sha256:472518de397d6853cfcc44372806409c1ea63622521e879d69a6915b89c5b51a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4HO77SSGCN6QHNUTXEWDQHWEVQ/bundle.json","state_url":"https://pith.science/pith/4HO77SSGCN6QHNUTXEWDQHWEVQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4HO77SSGCN6QHNUTXEWDQHWEVQ/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":"2026-08-20T01:57:59Z","links":{"resolver":"https://pith.science/pith/4HO77SSGCN6QHNUTXEWDQHWEVQ","bundle":"https://pith.science/pith/4HO77SSGCN6QHNUTXEWDQHWEVQ/bundle.json","state":"https://pith.science/pith/4HO77SSGCN6QHNUTXEWDQHWEVQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4HO77SSGCN6QHNUTXEWDQHWEVQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:4HO77SSGCN6QHNUTXEWDQHWEVQ","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":"3f91c083014b7a311d6633492ce9a8d20dfd2b0c3d6b7cf072de8f7785b7738a","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-01-22T03:01:54Z","title_canon_sha256":"bbf8349b68bda712c65cc62e6281db1c075b51a76ea7587645bdcffd942ea3da"},"schema_version":"1.0","source":{"id":"2501.12604","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.12604","created_at":"2026-07-05T10:03:55Z"},{"alias_kind":"arxiv_version","alias_value":"2501.12604v1","created_at":"2026-07-05T10:03:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.12604","created_at":"2026-07-05T10:03:55Z"},{"alias_kind":"pith_short_12","alias_value":"4HO77SSGCN6Q","created_at":"2026-07-05T10:03:55Z"},{"alias_kind":"pith_short_16","alias_value":"4HO77SSGCN6QHNUT","created_at":"2026-07-05T10:03:55Z"},{"alias_kind":"pith_short_8","alias_value":"4HO77SSG","created_at":"2026-07-05T10:03:55Z"}],"graph_snapshots":[{"event_id":"sha256:472518de397d6853cfcc44372806409c1ea63622521e879d69a6915b89c5b51a","target":"graph","created_at":"2026-07-05T10:03:55Z","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/2501.12604/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Most motion deblurring algorithms rely on spatial-domain convolution models, which struggle with the complex, non-linear blur arising from camera shake and object motion. In contrast, we propose a novel single-image deblurring approach that treats motion blur as a temporal averaging phenomenon. Our core innovation lies in leveraging a pre-trained video diffusion transformer model to capture diverse motion dynamics within a latent space. It sidesteps explicit kernel estimation and effectively accommodates diverse motion patterns. We implement the algorithm within a diffusion-based inverse probl","authors_text":"Wang Pang, Xiang Zhu, Yechao Bai, Zhihao Zhan","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-01-22T03:01:54Z","title":"Image Motion Blur Removal in the Temporal Dimension with Video Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.12604","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:e11b0777d88f0defe35fcbc2207007dcb0c11ec0cc3bd262d4cc3ffe0ef50f51","target":"record","created_at":"2026-07-05T10:03:55Z","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":"3f91c083014b7a311d6633492ce9a8d20dfd2b0c3d6b7cf072de8f7785b7738a","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-01-22T03:01:54Z","title_canon_sha256":"bbf8349b68bda712c65cc62e6281db1c075b51a76ea7587645bdcffd942ea3da"},"schema_version":"1.0","source":{"id":"2501.12604","kind":"arxiv","version":1}},"canonical_sha256":"e1ddffca46137d03b693b92c381ec4ac3fcd4a7e40f958262994c19c8a49ec9c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e1ddffca46137d03b693b92c381ec4ac3fcd4a7e40f958262994c19c8a49ec9c","first_computed_at":"2026-07-05T10:03:55.571116Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:03:55.571116Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QF9avMjGMeHX5Ylq10T9FwXFf7XhLfsvK8OPa+PwqrIiXZ04KK48BpnjbZKV0Bum9y7IaPcRrrLzq6G6W7MVAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:03:55.571600Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.12604","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e11b0777d88f0defe35fcbc2207007dcb0c11ec0cc3bd262d4cc3ffe0ef50f51","sha256:472518de397d6853cfcc44372806409c1ea63622521e879d69a6915b89c5b51a"],"state_sha256":"0aa8b26142ddf6f4343cea8a6a4f9c85cd0a7ab2d6ae236f73aedab21b7dd443"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ndyIMHAdENeDGxF3xOsr23wA3DzekF6gftf7Yy/iObtoG08z6O0vMZsJXTP2Whe0b0grpkPYbvHAxFbWcx0sAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T01:57:59.374870Z","bundle_sha256":"379bfaeeedb9aca345a5ef50e45e22ea2b39f83d2ee990af5d18f36205129cec"}}