{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:YNGVM6AU6Q7S7PYGE7U3Z2ROE2","short_pith_number":"pith:YNGVM6AU","canonical_record":{"source":{"id":"1607.04942","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2016-07-18T03:05:07Z","cross_cats_sorted":[],"title_canon_sha256":"09d3ba1f87735943083c50a93e8ac1224eafabb4fddb0c1bb34585a5d12414d0","abstract_canon_sha256":"19a952d24c6c3481bc23fcd89bee58686d8170755e8042eb53e53a3e4e1983ea"},"schema_version":"1.0"},"canonical_sha256":"c34d567814f43f2fbf0627e9bcea2e269a89355b5dcd03b11ee67fb4e90a1a99","source":{"kind":"arxiv","id":"1607.04942","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1607.04942","created_at":"2026-05-18T01:10:56Z"},{"alias_kind":"arxiv_version","alias_value":"1607.04942v1","created_at":"2026-05-18T01:10:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.04942","created_at":"2026-05-18T01:10:56Z"},{"alias_kind":"pith_short_12","alias_value":"YNGVM6AU6Q7S","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_16","alias_value":"YNGVM6AU6Q7S7PYG","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_8","alias_value":"YNGVM6AU","created_at":"2026-05-18T12:30:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:YNGVM6AU6Q7S7PYGE7U3Z2ROE2","target":"record","payload":{"canonical_record":{"source":{"id":"1607.04942","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2016-07-18T03:05:07Z","cross_cats_sorted":[],"title_canon_sha256":"09d3ba1f87735943083c50a93e8ac1224eafabb4fddb0c1bb34585a5d12414d0","abstract_canon_sha256":"19a952d24c6c3481bc23fcd89bee58686d8170755e8042eb53e53a3e4e1983ea"},"schema_version":"1.0"},"canonical_sha256":"c34d567814f43f2fbf0627e9bcea2e269a89355b5dcd03b11ee67fb4e90a1a99","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:10:56.310160Z","signature_b64":"43IX4ZxaPSlmgUdUe5jWk0Xv2rhnyw2yKIjFZE3ehwGNria0lGIbYyxrdFgDTZsRsjt7qha0SEQTKliAF+XZDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c34d567814f43f2fbf0627e9bcea2e269a89355b5dcd03b11ee67fb4e90a1a99","last_reissued_at":"2026-05-18T01:10:56.309626Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:10:56.309626Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1607.04942","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":"2026-05-18T01:10:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2RvyXTuGVrjpBOgkgiLSLPsKU8SSExEcQtJgaAVo72h9Pr8D5vw9CHZsTFmQeK3nHQqNS5jbGTVPgUlcWRh2Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T18:12:17.743113Z"},"content_sha256":"5ba5f60adf8e18f7b2d523dd334722aca41a3c3bfb51e95466fb5fe71918473f","schema_version":"1.0","event_id":"sha256:5ba5f60adf8e18f7b2d523dd334722aca41a3c3bfb51e95466fb5fe71918473f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:YNGVM6AU6Q7S7PYGE7U3Z2ROE2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sparse Representation-Based Classification: Orthogonal Least Squares or Orthogonal Matching Pursuit?","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Minshan Cui, Saurabh Prasad","submitted_at":"2016-07-18T03:05:07Z","abstract_excerpt":"Spare representation of signals has received significant attention in recent years. Based on these developments, a sparse representation-based classification (SRC) has been proposed for a variety of classification and related tasks, including face recognition. Recently, a class dependent variant of SRC was proposed to overcome the limitations of SRC for remote sensing image classification. Traditionally, greedy pursuit based method such as orthogonal matching pursuit (OMP) are used for sparse coefficient recovery due to their simplicity as well as low time-complexity. However, orthogonal least"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.04942","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":"2026-05-18T01:10:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pZeNAFS9aS63dPYf/02N97jTAf846pFuzk3V4HW0K3epfPeVLMhncNui16h9f9Vzc3xZw39RLCt5ZwIWrBmjAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T18:12:17.743852Z"},"content_sha256":"5c4cd9d7bc4594f71905953776244ca00c531d9d8e230f8c64e2818c722d5173","schema_version":"1.0","event_id":"sha256:5c4cd9d7bc4594f71905953776244ca00c531d9d8e230f8c64e2818c722d5173"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YNGVM6AU6Q7S7PYGE7U3Z2ROE2/bundle.json","state_url":"https://pith.science/pith/YNGVM6AU6Q7S7PYGE7U3Z2ROE2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YNGVM6AU6Q7S7PYGE7U3Z2ROE2/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":"2026-06-09T18:12:17Z","links":{"resolver":"https://pith.science/pith/YNGVM6AU6Q7S7PYGE7U3Z2ROE2","bundle":"https://pith.science/pith/YNGVM6AU6Q7S7PYGE7U3Z2ROE2/bundle.json","state":"https://pith.science/pith/YNGVM6AU6Q7S7PYGE7U3Z2ROE2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YNGVM6AU6Q7S7PYGE7U3Z2ROE2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:YNGVM6AU6Q7S7PYGE7U3Z2ROE2","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":"19a952d24c6c3481bc23fcd89bee58686d8170755e8042eb53e53a3e4e1983ea","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2016-07-18T03:05:07Z","title_canon_sha256":"09d3ba1f87735943083c50a93e8ac1224eafabb4fddb0c1bb34585a5d12414d0"},"schema_version":"1.0","source":{"id":"1607.04942","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1607.04942","created_at":"2026-05-18T01:10:56Z"},{"alias_kind":"arxiv_version","alias_value":"1607.04942v1","created_at":"2026-05-18T01:10:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.04942","created_at":"2026-05-18T01:10:56Z"},{"alias_kind":"pith_short_12","alias_value":"YNGVM6AU6Q7S","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_16","alias_value":"YNGVM6AU6Q7S7PYG","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_8","alias_value":"YNGVM6AU","created_at":"2026-05-18T12:30:53Z"}],"graph_snapshots":[{"event_id":"sha256:5c4cd9d7bc4594f71905953776244ca00c531d9d8e230f8c64e2818c722d5173","target":"graph","created_at":"2026-05-18T01:10:56Z","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"},"paper":{"abstract_excerpt":"Spare representation of signals has received significant attention in recent years. Based on these developments, a sparse representation-based classification (SRC) has been proposed for a variety of classification and related tasks, including face recognition. Recently, a class dependent variant of SRC was proposed to overcome the limitations of SRC for remote sensing image classification. Traditionally, greedy pursuit based method such as orthogonal matching pursuit (OMP) are used for sparse coefficient recovery due to their simplicity as well as low time-complexity. However, orthogonal least","authors_text":"Minshan Cui, Saurabh Prasad","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2016-07-18T03:05:07Z","title":"Sparse Representation-Based Classification: Orthogonal Least Squares or Orthogonal Matching Pursuit?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.04942","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":"sha256:5ba5f60adf8e18f7b2d523dd334722aca41a3c3bfb51e95466fb5fe71918473f","target":"record","created_at":"2026-05-18T01:10:56Z","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":"19a952d24c6c3481bc23fcd89bee58686d8170755e8042eb53e53a3e4e1983ea","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2016-07-18T03:05:07Z","title_canon_sha256":"09d3ba1f87735943083c50a93e8ac1224eafabb4fddb0c1bb34585a5d12414d0"},"schema_version":"1.0","source":{"id":"1607.04942","kind":"arxiv","version":1}},"canonical_sha256":"c34d567814f43f2fbf0627e9bcea2e269a89355b5dcd03b11ee67fb4e90a1a99","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c34d567814f43f2fbf0627e9bcea2e269a89355b5dcd03b11ee67fb4e90a1a99","first_computed_at":"2026-05-18T01:10:56.309626Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:10:56.309626Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"43IX4ZxaPSlmgUdUe5jWk0Xv2rhnyw2yKIjFZE3ehwGNria0lGIbYyxrdFgDTZsRsjt7qha0SEQTKliAF+XZDg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:10:56.310160Z","signed_message":"canonical_sha256_bytes"},"source_id":"1607.04942","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5ba5f60adf8e18f7b2d523dd334722aca41a3c3bfb51e95466fb5fe71918473f","sha256:5c4cd9d7bc4594f71905953776244ca00c531d9d8e230f8c64e2818c722d5173"],"state_sha256":"5ac541a4c7f2282ebe1b369181405ad09cecde4974eabf8978922378be4c0c70"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Rm0+az0l38IbWgtU6tfLX3KisKrMUf94P8hbf17vAB6zsDm6+UF6CitV7pp7ALob0WwH9MgnB50PgJRBzS2OAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T18:12:17.747872Z","bundle_sha256":"fc212af78f05433a407e8f87c99746360e6e23475f9e501418894f75fad92aa7"}}