{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:EGMALJJLDXNO4G432KCORPBID5","short_pith_number":"pith:EGMALJJL","canonical_record":{"source":{"id":"1201.3915","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2012-01-18T13:33:40Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"144a29a266e1b461272a3d5044b8af724182a9c8cef93d39f6ec102d2b39b444","abstract_canon_sha256":"d1815cbc259eac9b1b7e5101f4c6287b4313704abcec7459d6c562c432fb8a07"},"schema_version":"1.0"},"canonical_sha256":"219805a52b1ddaee1b9bd284e8bc281f5f3cb5ab5fb02c7e854601b4ccb1bb3a","source":{"kind":"arxiv","id":"1201.3915","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1201.3915","created_at":"2026-05-18T03:55:46Z"},{"alias_kind":"arxiv_version","alias_value":"1201.3915v5","created_at":"2026-05-18T03:55:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1201.3915","created_at":"2026-05-18T03:55:46Z"},{"alias_kind":"pith_short_12","alias_value":"EGMALJJLDXNO","created_at":"2026-05-18T12:27:04Z"},{"alias_kind":"pith_short_16","alias_value":"EGMALJJLDXNO4G43","created_at":"2026-05-18T12:27:04Z"},{"alias_kind":"pith_short_8","alias_value":"EGMALJJL","created_at":"2026-05-18T12:27:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:EGMALJJLDXNO4G432KCORPBID5","target":"record","payload":{"canonical_record":{"source":{"id":"1201.3915","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2012-01-18T13:33:40Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"144a29a266e1b461272a3d5044b8af724182a9c8cef93d39f6ec102d2b39b444","abstract_canon_sha256":"d1815cbc259eac9b1b7e5101f4c6287b4313704abcec7459d6c562c432fb8a07"},"schema_version":"1.0"},"canonical_sha256":"219805a52b1ddaee1b9bd284e8bc281f5f3cb5ab5fb02c7e854601b4ccb1bb3a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:55:46.569449Z","signature_b64":"XY3u6QDKhJvD1zTQmulescSs/i6+a1c9L2lLyQC1SSUSOiCMY7mB6gfOn7NR71mN/s+BRQIchYI694OB5j9OBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"219805a52b1ddaee1b9bd284e8bc281f5f3cb5ab5fb02c7e854601b4ccb1bb3a","last_reissued_at":"2026-05-18T03:55:46.568881Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:55:46.568881Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1201.3915","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:55:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bKUiNb3AyrlSOMGeLGUQL5W8iNghEbuDlQc+K3nULwmshiBE4C98f9Wob4zzTKvZmlzEaRaJVomsupGXFhtPAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T09:37:53.737290Z"},"content_sha256":"cef775812bebccd07bf1c2e9f1ded667028fb91a4aef62f76de21bd18635f8e8","schema_version":"1.0","event_id":"sha256:cef775812bebccd07bf1c2e9f1ded667028fb91a4aef62f76de21bd18635f8e8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:EGMALJJLDXNO4G432KCORPBID5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On Detection-Directed Estimation Approach for Noisy Compressive Sensing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Heung-No Lee, Jaewook Kang, Kiseon Kim","submitted_at":"2012-01-18T13:33:40Z","abstract_excerpt":"In this paper, we investigate a Bayesian sparse reconstruction algorithm called compressive sensing via Bayesian support detection (CS-BSD). This algorithm is quite robust against measurement noise and achieves the performance of a minimum mean square error (MMSE) estimator that has support knowledge beyond a certain SNR threshold. The key idea behind CS-BSD is that reconstruction takes a detection-directed estimation structure consisting of two parts: support detection and signal value estimation. Belief propagation (BP) and a Bayesian hypothesis test perform support detection, and an MMSE es"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1201.3915","kind":"arxiv","version":5},"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":"2026-05-18T03:55:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dlKhHBKRr+pF0N56KuClw4S7/7KMSh6zyPcff88HlJ5C9as4EDWTqSsfsflzpLFbmvpP7BcVDAk3nmYJ/6tKCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T09:37:53.737678Z"},"content_sha256":"9fe29bab13dc639095cd9a44254e1bb1ad6228b209c67e5571ee043233546101","schema_version":"1.0","event_id":"sha256:9fe29bab13dc639095cd9a44254e1bb1ad6228b209c67e5571ee043233546101"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EGMALJJLDXNO4G432KCORPBID5/bundle.json","state_url":"https://pith.science/pith/EGMALJJLDXNO4G432KCORPBID5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EGMALJJLDXNO4G432KCORPBID5/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":"2026-06-05T09:37:53Z","links":{"resolver":"https://pith.science/pith/EGMALJJLDXNO4G432KCORPBID5","bundle":"https://pith.science/pith/EGMALJJLDXNO4G432KCORPBID5/bundle.json","state":"https://pith.science/pith/EGMALJJLDXNO4G432KCORPBID5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EGMALJJLDXNO4G432KCORPBID5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:EGMALJJLDXNO4G432KCORPBID5","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":"d1815cbc259eac9b1b7e5101f4c6287b4313704abcec7459d6c562c432fb8a07","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2012-01-18T13:33:40Z","title_canon_sha256":"144a29a266e1b461272a3d5044b8af724182a9c8cef93d39f6ec102d2b39b444"},"schema_version":"1.0","source":{"id":"1201.3915","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1201.3915","created_at":"2026-05-18T03:55:46Z"},{"alias_kind":"arxiv_version","alias_value":"1201.3915v5","created_at":"2026-05-18T03:55:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1201.3915","created_at":"2026-05-18T03:55:46Z"},{"alias_kind":"pith_short_12","alias_value":"EGMALJJLDXNO","created_at":"2026-05-18T12:27:04Z"},{"alias_kind":"pith_short_16","alias_value":"EGMALJJLDXNO4G43","created_at":"2026-05-18T12:27:04Z"},{"alias_kind":"pith_short_8","alias_value":"EGMALJJL","created_at":"2026-05-18T12:27:04Z"}],"graph_snapshots":[{"event_id":"sha256:9fe29bab13dc639095cd9a44254e1bb1ad6228b209c67e5571ee043233546101","target":"graph","created_at":"2026-05-18T03:55:46Z","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":"In this paper, we investigate a Bayesian sparse reconstruction algorithm called compressive sensing via Bayesian support detection (CS-BSD). This algorithm is quite robust against measurement noise and achieves the performance of a minimum mean square error (MMSE) estimator that has support knowledge beyond a certain SNR threshold. The key idea behind CS-BSD is that reconstruction takes a detection-directed estimation structure consisting of two parts: support detection and signal value estimation. Belief propagation (BP) and a Bayesian hypothesis test perform support detection, and an MMSE es","authors_text":"Heung-No Lee, Jaewook Kang, Kiseon Kim","cross_cats":["math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2012-01-18T13:33:40Z","title":"On Detection-Directed Estimation Approach for Noisy Compressive Sensing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1201.3915","kind":"arxiv","version":5},"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:cef775812bebccd07bf1c2e9f1ded667028fb91a4aef62f76de21bd18635f8e8","target":"record","created_at":"2026-05-18T03:55:46Z","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":"d1815cbc259eac9b1b7e5101f4c6287b4313704abcec7459d6c562c432fb8a07","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2012-01-18T13:33:40Z","title_canon_sha256":"144a29a266e1b461272a3d5044b8af724182a9c8cef93d39f6ec102d2b39b444"},"schema_version":"1.0","source":{"id":"1201.3915","kind":"arxiv","version":5}},"canonical_sha256":"219805a52b1ddaee1b9bd284e8bc281f5f3cb5ab5fb02c7e854601b4ccb1bb3a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"219805a52b1ddaee1b9bd284e8bc281f5f3cb5ab5fb02c7e854601b4ccb1bb3a","first_computed_at":"2026-05-18T03:55:46.568881Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:55:46.568881Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XY3u6QDKhJvD1zTQmulescSs/i6+a1c9L2lLyQC1SSUSOiCMY7mB6gfOn7NR71mN/s+BRQIchYI694OB5j9OBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T03:55:46.569449Z","signed_message":"canonical_sha256_bytes"},"source_id":"1201.3915","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cef775812bebccd07bf1c2e9f1ded667028fb91a4aef62f76de21bd18635f8e8","sha256:9fe29bab13dc639095cd9a44254e1bb1ad6228b209c67e5571ee043233546101"],"state_sha256":"d9b6e5bbd98708a4e846f4bb91f86d0bef7fb515d0643b9b7db61d178d67400e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Sj4LgUPaj58lYPOpeZufWi6wTvb/MKE9RXYEiy/lqPXtU8yj4ozbIDVeZOROtOE6E0i/7CTx7mcDBqHKrNBNAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T09:37:53.739865Z","bundle_sha256":"c677c5703834dd38e93f15613a68bc466946e442918b3138ed35d82f45653e74"}}