{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:JZ4OWRKZ3LHE7YUSXUEYN7ISWM","short_pith_number":"pith:JZ4OWRKZ","canonical_record":{"source":{"id":"1612.01227","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-12-05T02:21:39Z","cross_cats_sorted":[],"title_canon_sha256":"3e7338b54b11915e310325291b1a8e7f8625326022e3bd3cf0b8539dcbbde82c","abstract_canon_sha256":"5c9f919a772f7de1c2f4a4b384b9c1bac92992032c004f980551b9e69defbb82"},"schema_version":"1.0"},"canonical_sha256":"4e78eb4559dace4fe292bd0986fd12b3133b251781a690bd44a02df197803bd4","source":{"kind":"arxiv","id":"1612.01227","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.01227","created_at":"2026-05-18T00:13:38Z"},{"alias_kind":"arxiv_version","alias_value":"1612.01227v2","created_at":"2026-05-18T00:13:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.01227","created_at":"2026-05-18T00:13:38Z"},{"alias_kind":"pith_short_12","alias_value":"JZ4OWRKZ3LHE","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_16","alias_value":"JZ4OWRKZ3LHE7YUS","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_8","alias_value":"JZ4OWRKZ","created_at":"2026-05-18T12:30:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:JZ4OWRKZ3LHE7YUSXUEYN7ISWM","target":"record","payload":{"canonical_record":{"source":{"id":"1612.01227","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-12-05T02:21:39Z","cross_cats_sorted":[],"title_canon_sha256":"3e7338b54b11915e310325291b1a8e7f8625326022e3bd3cf0b8539dcbbde82c","abstract_canon_sha256":"5c9f919a772f7de1c2f4a4b384b9c1bac92992032c004f980551b9e69defbb82"},"schema_version":"1.0"},"canonical_sha256":"4e78eb4559dace4fe292bd0986fd12b3133b251781a690bd44a02df197803bd4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:13:38.001763Z","signature_b64":"9kY4WPgPsTO9nzwsUHFLXCI9LYPZbcvhqGrXIpdfMbPCJnMx4m0Qy7cREZOBcubKSCKELe2CA9+2mprTL/wiAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4e78eb4559dace4fe292bd0986fd12b3133b251781a690bd44a02df197803bd4","last_reissued_at":"2026-05-18T00:13:38.001215Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:13:38.001215Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1612.01227","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:13:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LDc7ZtLLuOOXCJucBGksDJtkTnxoYIGztGAtTHs3mdKhkVkd1TKA/zxmoWlYxWtLZ41lTVC/i2TyYg+Hqx0oCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T04:46:24.387419Z"},"content_sha256":"f6e3e9667468f2c6850d33dccf6deb8edc95d50893d09526223d0acbc0ba29eb","schema_version":"1.0","event_id":"sha256:f6e3e9667468f2c6850d33dccf6deb8edc95d50893d09526223d0acbc0ba29eb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:JZ4OWRKZ3LHE7YUSXUEYN7ISWM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Blur Mapping: Exploiting High-Level Semantics by Deep Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dacheng Tao, Huan Fu, Kede Ma, Tongliang Liu, Zhou Wang","submitted_at":"2016-12-05T02:21:39Z","abstract_excerpt":"The human visual system excels at detecting local blur of visual images, but the underlying mechanism is not well understood. Traditional views of blur such as reduction in energy at high frequencies and loss of phase coherence at localized features have fundamental limitations. For example, they cannot well discriminate flat regions from blurred ones. Here we propose that high-level semantic information is critical in successfully identifying local blur. Therefore, we resort to deep neural networks that are proficient at learning high-level features and propose the first end-to-end local blur"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.01227","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T00:13:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P9S9nDxzKu9utmRAjL6v5W+rfkSS7b/vpd8CReBvXR2as2iwk/0ZINlfZpMahsRA/D9vT9xu69Bnmq3xBskgBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T04:46:24.387785Z"},"content_sha256":"2d47c52ea025d734fdd2bcb7934076e2f7c01f4b6106e0e7c87aa06a7fbd4c99","schema_version":"1.0","event_id":"sha256:2d47c52ea025d734fdd2bcb7934076e2f7c01f4b6106e0e7c87aa06a7fbd4c99"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JZ4OWRKZ3LHE7YUSXUEYN7ISWM/bundle.json","state_url":"https://pith.science/pith/JZ4OWRKZ3LHE7YUSXUEYN7ISWM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JZ4OWRKZ3LHE7YUSXUEYN7ISWM/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":"2026-05-27T04:46:24Z","links":{"resolver":"https://pith.science/pith/JZ4OWRKZ3LHE7YUSXUEYN7ISWM","bundle":"https://pith.science/pith/JZ4OWRKZ3LHE7YUSXUEYN7ISWM/bundle.json","state":"https://pith.science/pith/JZ4OWRKZ3LHE7YUSXUEYN7ISWM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JZ4OWRKZ3LHE7YUSXUEYN7ISWM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:JZ4OWRKZ3LHE7YUSXUEYN7ISWM","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":"5c9f919a772f7de1c2f4a4b384b9c1bac92992032c004f980551b9e69defbb82","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-12-05T02:21:39Z","title_canon_sha256":"3e7338b54b11915e310325291b1a8e7f8625326022e3bd3cf0b8539dcbbde82c"},"schema_version":"1.0","source":{"id":"1612.01227","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.01227","created_at":"2026-05-18T00:13:38Z"},{"alias_kind":"arxiv_version","alias_value":"1612.01227v2","created_at":"2026-05-18T00:13:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.01227","created_at":"2026-05-18T00:13:38Z"},{"alias_kind":"pith_short_12","alias_value":"JZ4OWRKZ3LHE","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_16","alias_value":"JZ4OWRKZ3LHE7YUS","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_8","alias_value":"JZ4OWRKZ","created_at":"2026-05-18T12:30:25Z"}],"graph_snapshots":[{"event_id":"sha256:2d47c52ea025d734fdd2bcb7934076e2f7c01f4b6106e0e7c87aa06a7fbd4c99","target":"graph","created_at":"2026-05-18T00:13:38Z","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"},"paper":{"abstract_excerpt":"The human visual system excels at detecting local blur of visual images, but the underlying mechanism is not well understood. Traditional views of blur such as reduction in energy at high frequencies and loss of phase coherence at localized features have fundamental limitations. For example, they cannot well discriminate flat regions from blurred ones. Here we propose that high-level semantic information is critical in successfully identifying local blur. Therefore, we resort to deep neural networks that are proficient at learning high-level features and propose the first end-to-end local blur","authors_text":"Dacheng Tao, Huan Fu, Kede Ma, Tongliang Liu, Zhou Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-12-05T02:21:39Z","title":"Deep Blur Mapping: Exploiting High-Level Semantics by Deep Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.01227","kind":"arxiv","version":2},"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:f6e3e9667468f2c6850d33dccf6deb8edc95d50893d09526223d0acbc0ba29eb","target":"record","created_at":"2026-05-18T00:13:38Z","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":"5c9f919a772f7de1c2f4a4b384b9c1bac92992032c004f980551b9e69defbb82","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-12-05T02:21:39Z","title_canon_sha256":"3e7338b54b11915e310325291b1a8e7f8625326022e3bd3cf0b8539dcbbde82c"},"schema_version":"1.0","source":{"id":"1612.01227","kind":"arxiv","version":2}},"canonical_sha256":"4e78eb4559dace4fe292bd0986fd12b3133b251781a690bd44a02df197803bd4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4e78eb4559dace4fe292bd0986fd12b3133b251781a690bd44a02df197803bd4","first_computed_at":"2026-05-18T00:13:38.001215Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:13:38.001215Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9kY4WPgPsTO9nzwsUHFLXCI9LYPZbcvhqGrXIpdfMbPCJnMx4m0Qy7cREZOBcubKSCKELe2CA9+2mprTL/wiAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:13:38.001763Z","signed_message":"canonical_sha256_bytes"},"source_id":"1612.01227","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f6e3e9667468f2c6850d33dccf6deb8edc95d50893d09526223d0acbc0ba29eb","sha256:2d47c52ea025d734fdd2bcb7934076e2f7c01f4b6106e0e7c87aa06a7fbd4c99"],"state_sha256":"01fcc78299460496ce90ca84b34cc9898feba09badf0e13e87c46b2f365468f9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0uw7LL8rOdnkc7bX/rfF1l4y4TGegpyh/CQbck/pcP5/OZqxhUVZxg2fHW31XTGdq6wCM7s7PU2BLvdF0AICCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T04:46:24.390804Z","bundle_sha256":"008c7f2912effdc8d4058998083c9a0dc4f75222d8bd067d6559f555cfb2f681"}}