{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:BCLFIIA4N37IEWY4FQXTRB7A2L","short_pith_number":"pith:BCLFIIA4","canonical_record":{"source":{"id":"1906.11885","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-10T13:22:54Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"0ffdf04eaf129870afc1646de12dc5fc42c0e8665fad4b62bb15ef4197c9cde3","abstract_canon_sha256":"ce6a158cdcd90c425e5bf84bccc2e7307fe754cf062476742c4678dbe6fb769f"},"schema_version":"1.0"},"canonical_sha256":"089654201c6efe825b1c2c2f3887e0d2d27f7ac64d81e092cc8904e8329a4f6a","source":{"kind":"arxiv","id":"1906.11885","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.11885","created_at":"2026-05-17T23:42:01Z"},{"alias_kind":"arxiv_version","alias_value":"1906.11885v1","created_at":"2026-05-17T23:42:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.11885","created_at":"2026-05-17T23:42:01Z"},{"alias_kind":"pith_short_12","alias_value":"BCLFIIA4N37I","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BCLFIIA4N37IEWY4","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BCLFIIA4","created_at":"2026-05-18T12:33:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:BCLFIIA4N37IEWY4FQXTRB7A2L","target":"record","payload":{"canonical_record":{"source":{"id":"1906.11885","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-10T13:22:54Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"0ffdf04eaf129870afc1646de12dc5fc42c0e8665fad4b62bb15ef4197c9cde3","abstract_canon_sha256":"ce6a158cdcd90c425e5bf84bccc2e7307fe754cf062476742c4678dbe6fb769f"},"schema_version":"1.0"},"canonical_sha256":"089654201c6efe825b1c2c2f3887e0d2d27f7ac64d81e092cc8904e8329a4f6a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:01.751529Z","signature_b64":"s2fOFphXchaqUQdau5RrzxS3XNiwjmbZJHuWD461ije8eqnhsf7G7GKdV945hb0wQIDnoSXNlDi+7uUB5FC/CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"089654201c6efe825b1c2c2f3887e0d2d27f7ac64d81e092cc8904e8329a4f6a","last_reissued_at":"2026-05-17T23:42:01.750913Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:01.750913Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.11885","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":"2026-05-17T23:42:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H4G74uSOzG+Q92vZgzUsAHpTmemRYUiJDWm2Vyy5nLjxtXNn5nj8hTnxr/2fhplBO7fokNNqfkT6A9EDUnkPBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T00:45:20.150696Z"},"content_sha256":"94096ab98a5c25c21a053edc7249d539b4995620dd560b196099eecb21d24cfc","schema_version":"1.0","event_id":"sha256:94096ab98a5c25c21a053edc7249d539b4995620dd560b196099eecb21d24cfc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:BCLFIIA4N37IEWY4FQXTRB7A2L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robust Classification with Sparse Representation Fusion on Diverse Data Subsets","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.IV"],"primary_cat":"cs.CV","authors_text":"Chun-Mei Feng, Jian Yang, Yong Xu, Zuoyong Li","submitted_at":"2019-06-10T13:22:54Z","abstract_excerpt":"Sparse Representation (SR) techniques encode the test samples into a sparse linear combination of all training samples and then classify the test samples into the class with the minimum residual. The classification of SR techniques depends on the representation capability on the test samples. However, most of these models view the representation problem of the test samples as a deterministic problem, ignoring the uncertainty of the representation. The uncertainty is caused by two factors, random noise in the samples and the intrinsic randomness of the sample set, which means that if we capture"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.11885","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":"2026-05-17T23:42:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kXGB08FoveCrfYCkriqhpr+kmey5j+oPmS2D2xU2Ew9CBAHkYClVp/348+C/yjIDQ0JgNNb02m42vsE0kWVUCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T00:45:20.151284Z"},"content_sha256":"8777b33b06f54599fd99791c415f5dbe78e0044cfdab0cf0421aa94ca7aa5594","schema_version":"1.0","event_id":"sha256:8777b33b06f54599fd99791c415f5dbe78e0044cfdab0cf0421aa94ca7aa5594"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BCLFIIA4N37IEWY4FQXTRB7A2L/bundle.json","state_url":"https://pith.science/pith/BCLFIIA4N37IEWY4FQXTRB7A2L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BCLFIIA4N37IEWY4FQXTRB7A2L/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":"2026-06-05T00:45:20Z","links":{"resolver":"https://pith.science/pith/BCLFIIA4N37IEWY4FQXTRB7A2L","bundle":"https://pith.science/pith/BCLFIIA4N37IEWY4FQXTRB7A2L/bundle.json","state":"https://pith.science/pith/BCLFIIA4N37IEWY4FQXTRB7A2L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BCLFIIA4N37IEWY4FQXTRB7A2L/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:BCLFIIA4N37IEWY4FQXTRB7A2L","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":"ce6a158cdcd90c425e5bf84bccc2e7307fe754cf062476742c4678dbe6fb769f","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-10T13:22:54Z","title_canon_sha256":"0ffdf04eaf129870afc1646de12dc5fc42c0e8665fad4b62bb15ef4197c9cde3"},"schema_version":"1.0","source":{"id":"1906.11885","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.11885","created_at":"2026-05-17T23:42:01Z"},{"alias_kind":"arxiv_version","alias_value":"1906.11885v1","created_at":"2026-05-17T23:42:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.11885","created_at":"2026-05-17T23:42:01Z"},{"alias_kind":"pith_short_12","alias_value":"BCLFIIA4N37I","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BCLFIIA4N37IEWY4","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BCLFIIA4","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:8777b33b06f54599fd99791c415f5dbe78e0044cfdab0cf0421aa94ca7aa5594","target":"graph","created_at":"2026-05-17T23:42:01Z","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":"Sparse Representation (SR) techniques encode the test samples into a sparse linear combination of all training samples and then classify the test samples into the class with the minimum residual. The classification of SR techniques depends on the representation capability on the test samples. However, most of these models view the representation problem of the test samples as a deterministic problem, ignoring the uncertainty of the representation. The uncertainty is caused by two factors, random noise in the samples and the intrinsic randomness of the sample set, which means that if we capture","authors_text":"Chun-Mei Feng, Jian Yang, Yong Xu, Zuoyong Li","cross_cats":["cs.LG","eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-10T13:22:54Z","title":"Robust Classification with Sparse Representation Fusion on Diverse Data Subsets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.11885","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":"sha256:94096ab98a5c25c21a053edc7249d539b4995620dd560b196099eecb21d24cfc","target":"record","created_at":"2026-05-17T23:42:01Z","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":"ce6a158cdcd90c425e5bf84bccc2e7307fe754cf062476742c4678dbe6fb769f","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-10T13:22:54Z","title_canon_sha256":"0ffdf04eaf129870afc1646de12dc5fc42c0e8665fad4b62bb15ef4197c9cde3"},"schema_version":"1.0","source":{"id":"1906.11885","kind":"arxiv","version":1}},"canonical_sha256":"089654201c6efe825b1c2c2f3887e0d2d27f7ac64d81e092cc8904e8329a4f6a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"089654201c6efe825b1c2c2f3887e0d2d27f7ac64d81e092cc8904e8329a4f6a","first_computed_at":"2026-05-17T23:42:01.750913Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:42:01.750913Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"s2fOFphXchaqUQdau5RrzxS3XNiwjmbZJHuWD461ije8eqnhsf7G7GKdV945hb0wQIDnoSXNlDi+7uUB5FC/CQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:42:01.751529Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.11885","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:94096ab98a5c25c21a053edc7249d539b4995620dd560b196099eecb21d24cfc","sha256:8777b33b06f54599fd99791c415f5dbe78e0044cfdab0cf0421aa94ca7aa5594"],"state_sha256":"5bdd49e23367f76b895ea18c41955e8fb39c12578c1df67e7cedd63c0d14d558"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lb8Lgv68aHrFFNmPfw0KLh4MeKepv6Dt/Ks0hJPUhAznnlFaRbsA2yAxVpYmAsjgUKFh0xcthJB06AMmRP1KDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T00:45:20.155035Z","bundle_sha256":"d429322f52d005698b4420a858e1ab6990391cff8096d8e7e356e828cb412e04"}}