{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:HGXVYMG7AM2J3G6PTCMMSZRWOJ","short_pith_number":"pith:HGXVYMG7","canonical_record":{"source":{"id":"1902.00092","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-01-31T22:03:04Z","cross_cats_sorted":[],"title_canon_sha256":"23ddd0cb23669533fca050288c5203a6f734a3411ba332c5a04ed06138a9956b","abstract_canon_sha256":"f47efa158171e469295e18813203e694b55dd58a54495cd6ecbe6834ed5f5452"},"schema_version":"1.0"},"canonical_sha256":"39af5c30df03349d9bcf9898c96636724c41c0d18a0cafce922d952f6def793b","source":{"kind":"arxiv","id":"1902.00092","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.00092","created_at":"2026-05-17T23:54:58Z"},{"alias_kind":"arxiv_version","alias_value":"1902.00092v1","created_at":"2026-05-17T23:54:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.00092","created_at":"2026-05-17T23:54:58Z"},{"alias_kind":"pith_short_12","alias_value":"HGXVYMG7AM2J","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"HGXVYMG7AM2J3G6P","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"HGXVYMG7","created_at":"2026-05-18T12:33:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:HGXVYMG7AM2J3G6PTCMMSZRWOJ","target":"record","payload":{"canonical_record":{"source":{"id":"1902.00092","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-01-31T22:03:04Z","cross_cats_sorted":[],"title_canon_sha256":"23ddd0cb23669533fca050288c5203a6f734a3411ba332c5a04ed06138a9956b","abstract_canon_sha256":"f47efa158171e469295e18813203e694b55dd58a54495cd6ecbe6834ed5f5452"},"schema_version":"1.0"},"canonical_sha256":"39af5c30df03349d9bcf9898c96636724c41c0d18a0cafce922d952f6def793b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:54:58.283099Z","signature_b64":"mvODVOV65pjq50nab2tl9gFCJgC5HDqt6udFRYeiSc9e44PPtr59xyBsyRQ8mqcM46dRzs9632hVzF5mwT+3BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"39af5c30df03349d9bcf9898c96636724c41c0d18a0cafce922d952f6def793b","last_reissued_at":"2026-05-17T23:54:58.282674Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:54:58.282674Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1902.00092","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":"2026-05-17T23:54:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jjjJSvhS8F2edjFDZkftEfv4AHkYwHd/jHvhNLYHA9bDwSktUQhVPwzkF+L6XFeWBdSYMfIbxc69PTDfdVWbCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-21T07:26:03.452383Z"},"content_sha256":"397be10ee58c8d980f6902df1ceacd1920cd664fa1e5f832ca454c58daea103e","schema_version":"1.0","event_id":"sha256:397be10ee58c8d980f6902df1ceacd1920cd664fa1e5f832ca454c58daea103e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:HGXVYMG7AM2J3G6PTCMMSZRWOJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Image reconstruction enhancement via masked regularization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"Anne Gelb, Victor Churchill","submitted_at":"2019-01-31T22:03:04Z","abstract_excerpt":"Image reconstruction based on an edge-sparsity assumption has become popular in recent years. Many methods of this type are capable of reconstructing nearly perfect edge-sparse images using limited data. In this paper, we present a method to improve the accuracy of a suboptimal image resulting from an edge-sparsity image reconstruction method when compressed sensing or empirical data requirements are not met. The method begins with an edge detection from an initial edge-sparsity based reconstruction. From this edge map, a mask matrix is created which allows us to regularize exclusively in regi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.00092","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":""},"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":"2026-05-17T23:54:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dd5e6/3w1TXtrg2jCEYZoPfoJ1w0rOixsnC0SgD3Q34wn0B2eXpSWBCjR49Zezgi2BcfDEr/aCD/vVIba5a2AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-21T07:26:03.452741Z"},"content_sha256":"ff74b5c9698023b4bf483b91a2f434d0e6d592a89b28de568a814ecb0bc01d2c","schema_version":"1.0","event_id":"sha256:ff74b5c9698023b4bf483b91a2f434d0e6d592a89b28de568a814ecb0bc01d2c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HGXVYMG7AM2J3G6PTCMMSZRWOJ/bundle.json","state_url":"https://pith.science/pith/HGXVYMG7AM2J3G6PTCMMSZRWOJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HGXVYMG7AM2J3G6PTCMMSZRWOJ/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":"2026-06-21T07:26:03Z","links":{"resolver":"https://pith.science/pith/HGXVYMG7AM2J3G6PTCMMSZRWOJ","bundle":"https://pith.science/pith/HGXVYMG7AM2J3G6PTCMMSZRWOJ/bundle.json","state":"https://pith.science/pith/HGXVYMG7AM2J3G6PTCMMSZRWOJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HGXVYMG7AM2J3G6PTCMMSZRWOJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:HGXVYMG7AM2J3G6PTCMMSZRWOJ","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":"f47efa158171e469295e18813203e694b55dd58a54495cd6ecbe6834ed5f5452","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-01-31T22:03:04Z","title_canon_sha256":"23ddd0cb23669533fca050288c5203a6f734a3411ba332c5a04ed06138a9956b"},"schema_version":"1.0","source":{"id":"1902.00092","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.00092","created_at":"2026-05-17T23:54:58Z"},{"alias_kind":"arxiv_version","alias_value":"1902.00092v1","created_at":"2026-05-17T23:54:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.00092","created_at":"2026-05-17T23:54:58Z"},{"alias_kind":"pith_short_12","alias_value":"HGXVYMG7AM2J","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"HGXVYMG7AM2J3G6P","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"HGXVYMG7","created_at":"2026-05-18T12:33:18Z"}],"graph_snapshots":[{"event_id":"sha256:ff74b5c9698023b4bf483b91a2f434d0e6d592a89b28de568a814ecb0bc01d2c","target":"graph","created_at":"2026-05-17T23:54:58Z","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":"Image reconstruction based on an edge-sparsity assumption has become popular in recent years. Many methods of this type are capable of reconstructing nearly perfect edge-sparse images using limited data. In this paper, we present a method to improve the accuracy of a suboptimal image resulting from an edge-sparsity image reconstruction method when compressed sensing or empirical data requirements are not met. The method begins with an edge detection from an initial edge-sparsity based reconstruction. From this edge map, a mask matrix is created which allows us to regularize exclusively in regi","authors_text":"Anne Gelb, Victor Churchill","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-01-31T22:03:04Z","title":"Image reconstruction enhancement via masked regularization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.00092","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":"sha256:397be10ee58c8d980f6902df1ceacd1920cd664fa1e5f832ca454c58daea103e","target":"record","created_at":"2026-05-17T23:54:58Z","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":"f47efa158171e469295e18813203e694b55dd58a54495cd6ecbe6834ed5f5452","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-01-31T22:03:04Z","title_canon_sha256":"23ddd0cb23669533fca050288c5203a6f734a3411ba332c5a04ed06138a9956b"},"schema_version":"1.0","source":{"id":"1902.00092","kind":"arxiv","version":1}},"canonical_sha256":"39af5c30df03349d9bcf9898c96636724c41c0d18a0cafce922d952f6def793b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"39af5c30df03349d9bcf9898c96636724c41c0d18a0cafce922d952f6def793b","first_computed_at":"2026-05-17T23:54:58.282674Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:54:58.282674Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mvODVOV65pjq50nab2tl9gFCJgC5HDqt6udFRYeiSc9e44PPtr59xyBsyRQ8mqcM46dRzs9632hVzF5mwT+3BQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:54:58.283099Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.00092","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:397be10ee58c8d980f6902df1ceacd1920cd664fa1e5f832ca454c58daea103e","sha256:ff74b5c9698023b4bf483b91a2f434d0e6d592a89b28de568a814ecb0bc01d2c"],"state_sha256":"a31cceb306336f500c6c9aa3289be9b7a69217d9cc1771c43d46971410060765"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vxHUjtCkJ1EUNVwTqwvjY+MncPt9gM3nzDI/FwG659TxbjpNA7Ni78luSzgct2WQYi9O13rN/eycpmXwgvHxCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-21T07:26:03.454669Z","bundle_sha256":"cd1df7361c99f20d0841c78e4c250453e9e59eab86b97d7a80ecd323bb1ce59b"}}