{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:HSVCSHCLEQ6H6MLZ7G3HX3AIKY","short_pith_number":"pith:HSVCSHCL","canonical_record":{"source":{"id":"1902.07731","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2019-02-20T19:05:02Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"35da9f318dcb3871eec644da58e6b2b9b895416b6141ffd9fcd9c3c8d21f75bd","abstract_canon_sha256":"eab4cd86282565f28f34fe97b068d25af7f23edda42d9b1ff45749340f26177a"},"schema_version":"1.0"},"canonical_sha256":"3caa291c4b243c7f3179f9b67bec085621f12171544cc661351078cb6bbaac0e","source":{"kind":"arxiv","id":"1902.07731","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.07731","created_at":"2026-05-17T23:53:04Z"},{"alias_kind":"arxiv_version","alias_value":"1902.07731v1","created_at":"2026-05-17T23:53:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.07731","created_at":"2026-05-17T23:53:04Z"},{"alias_kind":"pith_short_12","alias_value":"HSVCSHCLEQ6H","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"HSVCSHCLEQ6H6MLZ","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"HSVCSHCL","created_at":"2026-05-18T12:33:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:HSVCSHCLEQ6H6MLZ7G3HX3AIKY","target":"record","payload":{"canonical_record":{"source":{"id":"1902.07731","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2019-02-20T19:05:02Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"35da9f318dcb3871eec644da58e6b2b9b895416b6141ffd9fcd9c3c8d21f75bd","abstract_canon_sha256":"eab4cd86282565f28f34fe97b068d25af7f23edda42d9b1ff45749340f26177a"},"schema_version":"1.0"},"canonical_sha256":"3caa291c4b243c7f3179f9b67bec085621f12171544cc661351078cb6bbaac0e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:53:04.009442Z","signature_b64":"9VVNDaOpFT05CB4aBWN/WE8Qfqt+a8iwknXwe/tgZe9zcQyLZOBz+W11+HpRCozBI7Ms2OhcAQ5y/XXw8w7pDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3caa291c4b243c7f3179f9b67bec085621f12171544cc661351078cb6bbaac0e","last_reissued_at":"2026-05-17T23:53:04.008836Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:53:04.008836Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1902.07731","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":"2026-05-17T23:53:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1b/0eLCs3cvZfugJxkWJByPkeWm6GyIF7uY7kIQAej1xJcy5ujY5tDpA50ZQwa6K7Yk+t0czpPjem4eMe63zCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T05:35:15.619817Z"},"content_sha256":"a8090f616e677c73b5d15b2b833f46d0fb9fe7a8a7925194c895f55172bdf0fb","schema_version":"1.0","event_id":"sha256:a8090f616e677c73b5d15b2b833f46d0fb9fe7a8a7925194c895f55172bdf0fb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:HSVCSHCLEQ6H6MLZ7G3HX3AIKY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Orthogonal Matching Pursuit with Tikhonov and Landweber Regularization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Robert Seidel","submitted_at":"2019-02-20T19:05:02Z","abstract_excerpt":"The Orthogonal Matching Pursuit (OMP) for compressed sensing iterates over a scheme of support augmentation and signal estimation. We present two novel matching pursuit algorithms with intrinsic regularization of the signal estimation step that do not rely on a priori knowledge of the signal's sparsity. An iterative approach allows for a hardware efficient implementation of our algorithm, and enables real-world applications of compressed sensing. We provide a series of numerical examples that demonstrate a good performance, especially when the number of measurements is relatively small."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.07731","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":"2026-05-17T23:53:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FOea59eUySL+bTegwGo82yEJkze9j+hbp6zJ/r+B9oHToIZl8inRpFgbvEhLHFdCze431f+tJim9CRI7wD1OBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T05:35:15.620241Z"},"content_sha256":"ba13e6e69439ee8cd67a4ba7fb6239cca2dc4616a7c6de7d0d294fe7ae735309","schema_version":"1.0","event_id":"sha256:ba13e6e69439ee8cd67a4ba7fb6239cca2dc4616a7c6de7d0d294fe7ae735309"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HSVCSHCLEQ6H6MLZ7G3HX3AIKY/bundle.json","state_url":"https://pith.science/pith/HSVCSHCLEQ6H6MLZ7G3HX3AIKY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HSVCSHCLEQ6H6MLZ7G3HX3AIKY/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":"2026-05-27T05:35:15Z","links":{"resolver":"https://pith.science/pith/HSVCSHCLEQ6H6MLZ7G3HX3AIKY","bundle":"https://pith.science/pith/HSVCSHCLEQ6H6MLZ7G3HX3AIKY/bundle.json","state":"https://pith.science/pith/HSVCSHCLEQ6H6MLZ7G3HX3AIKY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HSVCSHCLEQ6H6MLZ7G3HX3AIKY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:HSVCSHCLEQ6H6MLZ7G3HX3AIKY","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":"eab4cd86282565f28f34fe97b068d25af7f23edda42d9b1ff45749340f26177a","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2019-02-20T19:05:02Z","title_canon_sha256":"35da9f318dcb3871eec644da58e6b2b9b895416b6141ffd9fcd9c3c8d21f75bd"},"schema_version":"1.0","source":{"id":"1902.07731","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.07731","created_at":"2026-05-17T23:53:04Z"},{"alias_kind":"arxiv_version","alias_value":"1902.07731v1","created_at":"2026-05-17T23:53:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.07731","created_at":"2026-05-17T23:53:04Z"},{"alias_kind":"pith_short_12","alias_value":"HSVCSHCLEQ6H","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"HSVCSHCLEQ6H6MLZ","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"HSVCSHCL","created_at":"2026-05-18T12:33:18Z"}],"graph_snapshots":[{"event_id":"sha256:ba13e6e69439ee8cd67a4ba7fb6239cca2dc4616a7c6de7d0d294fe7ae735309","target":"graph","created_at":"2026-05-17T23:53:04Z","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 Orthogonal Matching Pursuit (OMP) for compressed sensing iterates over a scheme of support augmentation and signal estimation. We present two novel matching pursuit algorithms with intrinsic regularization of the signal estimation step that do not rely on a priori knowledge of the signal's sparsity. An iterative approach allows for a hardware efficient implementation of our algorithm, and enables real-world applications of compressed sensing. We provide a series of numerical examples that demonstrate a good performance, especially when the number of measurements is relatively small.","authors_text":"Robert Seidel","cross_cats":["math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2019-02-20T19:05:02Z","title":"Orthogonal Matching Pursuit with Tikhonov and Landweber Regularization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.07731","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:a8090f616e677c73b5d15b2b833f46d0fb9fe7a8a7925194c895f55172bdf0fb","target":"record","created_at":"2026-05-17T23:53:04Z","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":"eab4cd86282565f28f34fe97b068d25af7f23edda42d9b1ff45749340f26177a","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2019-02-20T19:05:02Z","title_canon_sha256":"35da9f318dcb3871eec644da58e6b2b9b895416b6141ffd9fcd9c3c8d21f75bd"},"schema_version":"1.0","source":{"id":"1902.07731","kind":"arxiv","version":1}},"canonical_sha256":"3caa291c4b243c7f3179f9b67bec085621f12171544cc661351078cb6bbaac0e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3caa291c4b243c7f3179f9b67bec085621f12171544cc661351078cb6bbaac0e","first_computed_at":"2026-05-17T23:53:04.008836Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:53:04.008836Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9VVNDaOpFT05CB4aBWN/WE8Qfqt+a8iwknXwe/tgZe9zcQyLZOBz+W11+HpRCozBI7Ms2OhcAQ5y/XXw8w7pDQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:53:04.009442Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.07731","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a8090f616e677c73b5d15b2b833f46d0fb9fe7a8a7925194c895f55172bdf0fb","sha256:ba13e6e69439ee8cd67a4ba7fb6239cca2dc4616a7c6de7d0d294fe7ae735309"],"state_sha256":"cc70f8f1dcef2fec3fd344130f0e8611df2f4b892b930308c03cfd3de0c0390e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Dl3aFuSffy6bU/7+v1NUYCAfpFIuA1E9KA6spoSw6lSCkJXn2hZjU7MAMKTf2ef1hYWkCI9UVAr30LcFLqbXBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T05:35:15.623627Z","bundle_sha256":"23da83876681088503aeeb3b0e8a96d0270806b53a3a42369a68ae934056c3ea"}}