{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:3M7CCOIQHCWF7MSJKOFUT5PA5A","short_pith_number":"pith:3M7CCOIQ","canonical_record":{"source":{"id":"1303.2439","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-03-11T06:54:26Z","cross_cats_sorted":[],"title_canon_sha256":"15e21c183f75e01cbd7f01316d05e7bb287d64948b2a79767ae3a479c9897588","abstract_canon_sha256":"5fcb567f365d8fff416562b61681175ccfc0556436a09fdcb25385b9b487e8d7"},"schema_version":"1.0"},"canonical_sha256":"db3e21391038ac5fb249538b49f5e0e828050e81e6cea22476b5412f7bb61321","source":{"kind":"arxiv","id":"1303.2439","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1303.2439","created_at":"2026-05-18T03:31:19Z"},{"alias_kind":"arxiv_version","alias_value":"1303.2439v1","created_at":"2026-05-18T03:31:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1303.2439","created_at":"2026-05-18T03:31:19Z"},{"alias_kind":"pith_short_12","alias_value":"3M7CCOIQHCWF","created_at":"2026-05-18T12:27:32Z"},{"alias_kind":"pith_short_16","alias_value":"3M7CCOIQHCWF7MSJ","created_at":"2026-05-18T12:27:32Z"},{"alias_kind":"pith_short_8","alias_value":"3M7CCOIQ","created_at":"2026-05-18T12:27:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:3M7CCOIQHCWF7MSJKOFUT5PA5A","target":"record","payload":{"canonical_record":{"source":{"id":"1303.2439","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-03-11T06:54:26Z","cross_cats_sorted":[],"title_canon_sha256":"15e21c183f75e01cbd7f01316d05e7bb287d64948b2a79767ae3a479c9897588","abstract_canon_sha256":"5fcb567f365d8fff416562b61681175ccfc0556436a09fdcb25385b9b487e8d7"},"schema_version":"1.0"},"canonical_sha256":"db3e21391038ac5fb249538b49f5e0e828050e81e6cea22476b5412f7bb61321","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:31:19.047433Z","signature_b64":"MN7SehlgVdB+Gefs3xwHyTZoQaAG5j4nLDsiPZu7uQtPbTZJ3u0rDZ7iW70GWk/1mJRPolstpc7ql8oLSXU0DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"db3e21391038ac5fb249538b49f5e0e828050e81e6cea22476b5412f7bb61321","last_reissued_at":"2026-05-18T03:31:19.046859Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:31:19.046859Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1303.2439","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":"2026-05-18T03:31:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0TTsmpnXpW77omj31mgdBJbLvCFkG6oj3dqHcPeOXjfQGMUy4flm1mkPehRSd0ROD1fKW0F6wIsZnlubib3VBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T11:06:04.350709Z"},"content_sha256":"b0aa2d979d58658b9703c2c404f642c82beef74c07c8cf765af5729bb8897bed","schema_version":"1.0","event_id":"sha256:b0aa2d979d58658b9703c2c404f642c82beef74c07c8cf765af5729bb8897bed"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:3M7CCOIQHCWF7MSJKOFUT5PA5A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Voxel-wise Weighted MR Image Enhancement using an Extended Neighborhood Filter","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chandrasekar Kesavadas, Joseph Suresh Paul, Joshin John Mathew, Souparnika Kandoth Naroth","submitted_at":"2013-03-11T06:54:26Z","abstract_excerpt":"We present an edge preserving and denoising filter for enhancing the features in images, which contain an ROI having a narrow spatial extent. Typical examples include angiograms, or ROI spatially distributed in multiple locations and contained within an outlying region, such as in multiple-sclerosis. The filtering involves determination of multiplicative weights in the spatial domain using an extended set of neighborhood directions. Equivalently, the filtering operation may be interpreted as a combination of directional filters in the frequency domain, with selective weighting for spatial freq"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1303.2439","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":"2026-05-18T03:31:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PeRLdA6+KCN+FURElr/46EBJxgyV+lAsyeYOIWDQUWmop16AA+VaASJ2u18Zdfl/RCabNNxCgYAwJAsujzy1BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T11:06:04.351053Z"},"content_sha256":"91ceeac703b67f30cc11675b5a8571d424f5503104e383f2317927a6845fc0e8","schema_version":"1.0","event_id":"sha256:91ceeac703b67f30cc11675b5a8571d424f5503104e383f2317927a6845fc0e8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3M7CCOIQHCWF7MSJKOFUT5PA5A/bundle.json","state_url":"https://pith.science/pith/3M7CCOIQHCWF7MSJKOFUT5PA5A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3M7CCOIQHCWF7MSJKOFUT5PA5A/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":"2026-07-03T11:06:04Z","links":{"resolver":"https://pith.science/pith/3M7CCOIQHCWF7MSJKOFUT5PA5A","bundle":"https://pith.science/pith/3M7CCOIQHCWF7MSJKOFUT5PA5A/bundle.json","state":"https://pith.science/pith/3M7CCOIQHCWF7MSJKOFUT5PA5A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3M7CCOIQHCWF7MSJKOFUT5PA5A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:3M7CCOIQHCWF7MSJKOFUT5PA5A","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":"5fcb567f365d8fff416562b61681175ccfc0556436a09fdcb25385b9b487e8d7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-03-11T06:54:26Z","title_canon_sha256":"15e21c183f75e01cbd7f01316d05e7bb287d64948b2a79767ae3a479c9897588"},"schema_version":"1.0","source":{"id":"1303.2439","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1303.2439","created_at":"2026-05-18T03:31:19Z"},{"alias_kind":"arxiv_version","alias_value":"1303.2439v1","created_at":"2026-05-18T03:31:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1303.2439","created_at":"2026-05-18T03:31:19Z"},{"alias_kind":"pith_short_12","alias_value":"3M7CCOIQHCWF","created_at":"2026-05-18T12:27:32Z"},{"alias_kind":"pith_short_16","alias_value":"3M7CCOIQHCWF7MSJ","created_at":"2026-05-18T12:27:32Z"},{"alias_kind":"pith_short_8","alias_value":"3M7CCOIQ","created_at":"2026-05-18T12:27:32Z"}],"graph_snapshots":[{"event_id":"sha256:91ceeac703b67f30cc11675b5a8571d424f5503104e383f2317927a6845fc0e8","target":"graph","created_at":"2026-05-18T03:31:19Z","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":"We present an edge preserving and denoising filter for enhancing the features in images, which contain an ROI having a narrow spatial extent. Typical examples include angiograms, or ROI spatially distributed in multiple locations and contained within an outlying region, such as in multiple-sclerosis. The filtering involves determination of multiplicative weights in the spatial domain using an extended set of neighborhood directions. Equivalently, the filtering operation may be interpreted as a combination of directional filters in the frequency domain, with selective weighting for spatial freq","authors_text":"Chandrasekar Kesavadas, Joseph Suresh Paul, Joshin John Mathew, Souparnika Kandoth Naroth","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-03-11T06:54:26Z","title":"Voxel-wise Weighted MR Image Enhancement using an Extended Neighborhood Filter"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1303.2439","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:b0aa2d979d58658b9703c2c404f642c82beef74c07c8cf765af5729bb8897bed","target":"record","created_at":"2026-05-18T03:31:19Z","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":"5fcb567f365d8fff416562b61681175ccfc0556436a09fdcb25385b9b487e8d7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-03-11T06:54:26Z","title_canon_sha256":"15e21c183f75e01cbd7f01316d05e7bb287d64948b2a79767ae3a479c9897588"},"schema_version":"1.0","source":{"id":"1303.2439","kind":"arxiv","version":1}},"canonical_sha256":"db3e21391038ac5fb249538b49f5e0e828050e81e6cea22476b5412f7bb61321","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"db3e21391038ac5fb249538b49f5e0e828050e81e6cea22476b5412f7bb61321","first_computed_at":"2026-05-18T03:31:19.046859Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:31:19.046859Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MN7SehlgVdB+Gefs3xwHyTZoQaAG5j4nLDsiPZu7uQtPbTZJ3u0rDZ7iW70GWk/1mJRPolstpc7ql8oLSXU0DQ==","signature_status":"signed_v1","signed_at":"2026-05-18T03:31:19.047433Z","signed_message":"canonical_sha256_bytes"},"source_id":"1303.2439","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b0aa2d979d58658b9703c2c404f642c82beef74c07c8cf765af5729bb8897bed","sha256:91ceeac703b67f30cc11675b5a8571d424f5503104e383f2317927a6845fc0e8"],"state_sha256":"949b2932063f352acecbef9887c7e3be1b9b022f9be009c26ddcfee5c18d7f39"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZnLG+fFl2VmSixyG+e+hHokmLx5bXar8ppOYPxanPUwMky+wHCDOKQYhEiCxMC/66XHKG+EW9V0Bp1CXmCpqCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-03T11:06:04.352991Z","bundle_sha256":"65dd26ff42ceafe2b316be341757f5f0acb6a62d43b7f7171857fe1553c8b5b5"}}