{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:APID2D6MYPWYKO2YQ7LRLJ52R7","short_pith_number":"pith:APID2D6M","canonical_record":{"source":{"id":"2007.10753","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-21T12:29:43Z","cross_cats_sorted":["cs.NA","eess.IV","math.NA"],"title_canon_sha256":"b648ebbdeef4b5d3c566802fac58e54f32fea8fb25d3fb9e9076334f387d152e","abstract_canon_sha256":"08470a41d6ff4ab64043a3dd880e28244456c05ec7ba58b6dd81565ba5a01177"},"schema_version":"1.0"},"canonical_sha256":"03d03d0fccc3ed853b5887d715a7ba8fc7b61d70fa61de9f2fe461fd6b4fb86a","source":{"kind":"arxiv","id":"2007.10753","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.10753","created_at":"2026-07-05T02:22:56Z"},{"alias_kind":"arxiv_version","alias_value":"2007.10753v2","created_at":"2026-07-05T02:22:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.10753","created_at":"2026-07-05T02:22:56Z"},{"alias_kind":"pith_short_12","alias_value":"APID2D6MYPWY","created_at":"2026-07-05T02:22:56Z"},{"alias_kind":"pith_short_16","alias_value":"APID2D6MYPWYKO2Y","created_at":"2026-07-05T02:22:56Z"},{"alias_kind":"pith_short_8","alias_value":"APID2D6M","created_at":"2026-07-05T02:22:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:APID2D6MYPWYKO2YQ7LRLJ52R7","target":"record","payload":{"canonical_record":{"source":{"id":"2007.10753","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-21T12:29:43Z","cross_cats_sorted":["cs.NA","eess.IV","math.NA"],"title_canon_sha256":"b648ebbdeef4b5d3c566802fac58e54f32fea8fb25d3fb9e9076334f387d152e","abstract_canon_sha256":"08470a41d6ff4ab64043a3dd880e28244456c05ec7ba58b6dd81565ba5a01177"},"schema_version":"1.0"},"canonical_sha256":"03d03d0fccc3ed853b5887d715a7ba8fc7b61d70fa61de9f2fe461fd6b4fb86a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:22:56.694432Z","signature_b64":"J5YiLLH4guf9M/BSSbx6xRU1daAcRKqzuqlhPVUuSEv5u052/SVqdrATUVxv3oTprjgo+5oQzR4+wimnA2BVDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"03d03d0fccc3ed853b5887d715a7ba8fc7b61d70fa61de9f2fe461fd6b4fb86a","last_reissued_at":"2026-07-05T02:22:56.693920Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:22:56.693920Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2007.10753","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":"2026-07-05T02:22:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SJan+Uo3Pr4ipCv3JSjSaeX8925+Hyo3uvKLHF8BR8bQ5g8lerq74aYiHvYU6ksUaiItpo6v5jPs2PcqsWmEBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T07:16:09.268937Z"},"content_sha256":"b479c952396abe04c0558bec5d22755ebd6fcbd2c61069e821fb94e26f00f85a","schema_version":"1.0","event_id":"sha256:b479c952396abe04c0558bec5d22755ebd6fcbd2c61069e821fb94e26f00f85a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:APID2D6MYPWYKO2YQ7LRLJ52R7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancement of damaged-image prediction through Cahn-Hilliard Image Inpainting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NA","eess.IV","math.NA"],"primary_cat":"cs.CV","authors_text":"Fuyue Liang, Jos\\'e A. Carrillo, Serafim Kalliadasis, Sergio P. Perez","submitted_at":"2020-07-21T12:29:43Z","abstract_excerpt":"We assess the benefit of including an image inpainting filter before passing damaged images into a classification neural network. For this we employ a modified Cahn-Hilliard equation as an image inpainting filter, which is solved via a finite volume scheme with reduced computational cost and adequate properties for energy stability and boundedness. The benchmark dataset employed here is MNIST, which consists of binary images of handwritten digits and is a standard dataset to validate image-processing methodologies. We train a neural network based of dense layers with the training set of MNIST,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.10753","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2007.10753/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":"2026-07-05T02:22:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+T3OI07bEReGNMvI2lTiDFKqOtLl5tNeVwhrerR6v42JovkKK0WamA/tzDL4IHDi4193GqwCl339HlpRGUbfAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T07:16:09.269313Z"},"content_sha256":"4fa3274ff75fa53e76b2eb44530d276702317c28c254c2fcdd181fd86e96546f","schema_version":"1.0","event_id":"sha256:4fa3274ff75fa53e76b2eb44530d276702317c28c254c2fcdd181fd86e96546f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/APID2D6MYPWYKO2YQ7LRLJ52R7/bundle.json","state_url":"https://pith.science/pith/APID2D6MYPWYKO2YQ7LRLJ52R7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/APID2D6MYPWYKO2YQ7LRLJ52R7/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":"2026-07-18T07:16:09Z","links":{"resolver":"https://pith.science/pith/APID2D6MYPWYKO2YQ7LRLJ52R7","bundle":"https://pith.science/pith/APID2D6MYPWYKO2YQ7LRLJ52R7/bundle.json","state":"https://pith.science/pith/APID2D6MYPWYKO2YQ7LRLJ52R7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/APID2D6MYPWYKO2YQ7LRLJ52R7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:APID2D6MYPWYKO2YQ7LRLJ52R7","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":"08470a41d6ff4ab64043a3dd880e28244456c05ec7ba58b6dd81565ba5a01177","cross_cats_sorted":["cs.NA","eess.IV","math.NA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-21T12:29:43Z","title_canon_sha256":"b648ebbdeef4b5d3c566802fac58e54f32fea8fb25d3fb9e9076334f387d152e"},"schema_version":"1.0","source":{"id":"2007.10753","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.10753","created_at":"2026-07-05T02:22:56Z"},{"alias_kind":"arxiv_version","alias_value":"2007.10753v2","created_at":"2026-07-05T02:22:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.10753","created_at":"2026-07-05T02:22:56Z"},{"alias_kind":"pith_short_12","alias_value":"APID2D6MYPWY","created_at":"2026-07-05T02:22:56Z"},{"alias_kind":"pith_short_16","alias_value":"APID2D6MYPWYKO2Y","created_at":"2026-07-05T02:22:56Z"},{"alias_kind":"pith_short_8","alias_value":"APID2D6M","created_at":"2026-07-05T02:22:56Z"}],"graph_snapshots":[{"event_id":"sha256:4fa3274ff75fa53e76b2eb44530d276702317c28c254c2fcdd181fd86e96546f","target":"graph","created_at":"2026-07-05T02:22:56Z","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/2007.10753/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We assess the benefit of including an image inpainting filter before passing damaged images into a classification neural network. For this we employ a modified Cahn-Hilliard equation as an image inpainting filter, which is solved via a finite volume scheme with reduced computational cost and adequate properties for energy stability and boundedness. The benchmark dataset employed here is MNIST, which consists of binary images of handwritten digits and is a standard dataset to validate image-processing methodologies. We train a neural network based of dense layers with the training set of MNIST,","authors_text":"Fuyue Liang, Jos\\'e A. Carrillo, Serafim Kalliadasis, Sergio P. Perez","cross_cats":["cs.NA","eess.IV","math.NA"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-21T12:29:43Z","title":"Enhancement of damaged-image prediction through Cahn-Hilliard Image Inpainting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.10753","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:b479c952396abe04c0558bec5d22755ebd6fcbd2c61069e821fb94e26f00f85a","target":"record","created_at":"2026-07-05T02:22:56Z","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":"08470a41d6ff4ab64043a3dd880e28244456c05ec7ba58b6dd81565ba5a01177","cross_cats_sorted":["cs.NA","eess.IV","math.NA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-21T12:29:43Z","title_canon_sha256":"b648ebbdeef4b5d3c566802fac58e54f32fea8fb25d3fb9e9076334f387d152e"},"schema_version":"1.0","source":{"id":"2007.10753","kind":"arxiv","version":2}},"canonical_sha256":"03d03d0fccc3ed853b5887d715a7ba8fc7b61d70fa61de9f2fe461fd6b4fb86a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"03d03d0fccc3ed853b5887d715a7ba8fc7b61d70fa61de9f2fe461fd6b4fb86a","first_computed_at":"2026-07-05T02:22:56.693920Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:22:56.693920Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"J5YiLLH4guf9M/BSSbx6xRU1daAcRKqzuqlhPVUuSEv5u052/SVqdrATUVxv3oTprjgo+5oQzR4+wimnA2BVDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:22:56.694432Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.10753","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b479c952396abe04c0558bec5d22755ebd6fcbd2c61069e821fb94e26f00f85a","sha256:4fa3274ff75fa53e76b2eb44530d276702317c28c254c2fcdd181fd86e96546f"],"state_sha256":"5b2b00f8495b593760592a3888c75a5d358c96d97a4f55d928dbaae818c55304"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x5je9ZH3IWtQbupJUDp0ZgZxCFZ0zbTpoA2PGIOp31CHmv9F1hr7vBgO5AlX0hmlkJGr9EoeRZ3Cq7WKKznwBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-18T07:16:09.271480Z","bundle_sha256":"8fd68173bfca68d79a9a227dfd10af6e24d4cdee8f35ae31d528c7e56c0eb479"}}