{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:2NKRWDZQTDVOLKHP2YOIDI5OFA","short_pith_number":"pith:2NKRWDZQ","canonical_record":{"source":{"id":"2009.02528","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2020-09-05T13:03:52Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"8ae048ae1be581a40c8dc041ba8b0492b944303b189f169b1b42aad0bc43be49","abstract_canon_sha256":"c712ec684fd114fb8532433ee51271ada59dd27481d2d649c06449631049fe98"},"schema_version":"1.0"},"canonical_sha256":"d3551b0f3098eae5a8efd61c81a3ae281be9738df33e8ddb23526805a9c33efe","source":{"kind":"arxiv","id":"2009.02528","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.02528","created_at":"2026-07-05T02:00:49Z"},{"alias_kind":"arxiv_version","alias_value":"2009.02528v2","created_at":"2026-07-05T02:00:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.02528","created_at":"2026-07-05T02:00:49Z"},{"alias_kind":"pith_short_12","alias_value":"2NKRWDZQTDVO","created_at":"2026-07-05T02:00:49Z"},{"alias_kind":"pith_short_16","alias_value":"2NKRWDZQTDVOLKHP","created_at":"2026-07-05T02:00:49Z"},{"alias_kind":"pith_short_8","alias_value":"2NKRWDZQ","created_at":"2026-07-05T02:00:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:2NKRWDZQTDVOLKHP2YOIDI5OFA","target":"record","payload":{"canonical_record":{"source":{"id":"2009.02528","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2020-09-05T13:03:52Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"8ae048ae1be581a40c8dc041ba8b0492b944303b189f169b1b42aad0bc43be49","abstract_canon_sha256":"c712ec684fd114fb8532433ee51271ada59dd27481d2d649c06449631049fe98"},"schema_version":"1.0"},"canonical_sha256":"d3551b0f3098eae5a8efd61c81a3ae281be9738df33e8ddb23526805a9c33efe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:00:49.158808Z","signature_b64":"y7CGoTZ0fMFe22L1Nlu3vV2kLMEtphPcYDbTgp+ct9vuOhTDdygvCz3AGGFMZZ+nWgOnaRaI5v+9PF4LCX//Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d3551b0f3098eae5a8efd61c81a3ae281be9738df33e8ddb23526805a9c33efe","last_reissued_at":"2026-07-05T02:00:49.158378Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:00:49.158378Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2009.02528","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:00:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G0fNP88V4woQpfI4eLWM7tr0XwYlX6kj+VhOtLMoD3xC6MuIhZrDmeT5mmdcHS7PrL7lLUOUBmOr0sXn+VpQAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:39:28.023098Z"},"content_sha256":"0dc405a4df475cef55006fd13f2aa09925754b07cc11fe790457a31c38627dea","schema_version":"1.0","event_id":"sha256:0dc405a4df475cef55006fd13f2aa09925754b07cc11fe790457a31c38627dea"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:2NKRWDZQTDVOLKHP2YOIDI5OFA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Structured Sparsity Modeling for Improved Multivariate Statistical Analysis based Fault Isolation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"stat.AP","authors_text":"Chuanhou Gao, Jiusun Zeng, Shihua Luo, Wei Chen, Xiaobin Xu","submitted_at":"2020-09-05T13:03:52Z","abstract_excerpt":"In order to improve the fault diagnosis capability of multivariate statistical methods, this article introduces a fault isolation framework based on structured sparsity modeling. The developed method relies on the reconstruction based contribution analysis and the process structure information can be incorporated into the reconstruction objective function in the form of structured sparsity regularization terms. The structured sparsity terms allow selection of fault variables over structures like blocks or networks of process variables, hence more accurate fault isolation can be achieved. Four "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.02528","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2009.02528/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T02:00:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hSglDXqeJkhhZ+Cn5gxtH64o8+NryUUvj48u1kijOf7kyx1GEBzowbZZSdh70iyfXVXWwpiJfjEg2IwXpI7vBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:39:28.023491Z"},"content_sha256":"4a34f60491b02b1fdc86fb1cdd07a157b0e9947b34969fa6a6e5b8e3b1f8a4a9","schema_version":"1.0","event_id":"sha256:4a34f60491b02b1fdc86fb1cdd07a157b0e9947b34969fa6a6e5b8e3b1f8a4a9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2NKRWDZQTDVOLKHP2YOIDI5OFA/bundle.json","state_url":"https://pith.science/pith/2NKRWDZQTDVOLKHP2YOIDI5OFA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2NKRWDZQTDVOLKHP2YOIDI5OFA/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":"2026-07-07T08:39:28Z","links":{"resolver":"https://pith.science/pith/2NKRWDZQTDVOLKHP2YOIDI5OFA","bundle":"https://pith.science/pith/2NKRWDZQTDVOLKHP2YOIDI5OFA/bundle.json","state":"https://pith.science/pith/2NKRWDZQTDVOLKHP2YOIDI5OFA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2NKRWDZQTDVOLKHP2YOIDI5OFA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:2NKRWDZQTDVOLKHP2YOIDI5OFA","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":"c712ec684fd114fb8532433ee51271ada59dd27481d2d649c06449631049fe98","cross_cats_sorted":["eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2020-09-05T13:03:52Z","title_canon_sha256":"8ae048ae1be581a40c8dc041ba8b0492b944303b189f169b1b42aad0bc43be49"},"schema_version":"1.0","source":{"id":"2009.02528","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.02528","created_at":"2026-07-05T02:00:49Z"},{"alias_kind":"arxiv_version","alias_value":"2009.02528v2","created_at":"2026-07-05T02:00:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.02528","created_at":"2026-07-05T02:00:49Z"},{"alias_kind":"pith_short_12","alias_value":"2NKRWDZQTDVO","created_at":"2026-07-05T02:00:49Z"},{"alias_kind":"pith_short_16","alias_value":"2NKRWDZQTDVOLKHP","created_at":"2026-07-05T02:00:49Z"},{"alias_kind":"pith_short_8","alias_value":"2NKRWDZQ","created_at":"2026-07-05T02:00:49Z"}],"graph_snapshots":[{"event_id":"sha256:4a34f60491b02b1fdc86fb1cdd07a157b0e9947b34969fa6a6e5b8e3b1f8a4a9","target":"graph","created_at":"2026-07-05T02:00:49Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2009.02528/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In order to improve the fault diagnosis capability of multivariate statistical methods, this article introduces a fault isolation framework based on structured sparsity modeling. The developed method relies on the reconstruction based contribution analysis and the process structure information can be incorporated into the reconstruction objective function in the form of structured sparsity regularization terms. The structured sparsity terms allow selection of fault variables over structures like blocks or networks of process variables, hence more accurate fault isolation can be achieved. Four ","authors_text":"Chuanhou Gao, Jiusun Zeng, Shihua Luo, Wei Chen, Xiaobin Xu","cross_cats":["eess.SP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2020-09-05T13:03:52Z","title":"Structured Sparsity Modeling for Improved Multivariate Statistical Analysis based Fault Isolation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.02528","kind":"arxiv","version":2},"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":"sha256:0dc405a4df475cef55006fd13f2aa09925754b07cc11fe790457a31c38627dea","target":"record","created_at":"2026-07-05T02:00:49Z","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":"c712ec684fd114fb8532433ee51271ada59dd27481d2d649c06449631049fe98","cross_cats_sorted":["eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2020-09-05T13:03:52Z","title_canon_sha256":"8ae048ae1be581a40c8dc041ba8b0492b944303b189f169b1b42aad0bc43be49"},"schema_version":"1.0","source":{"id":"2009.02528","kind":"arxiv","version":2}},"canonical_sha256":"d3551b0f3098eae5a8efd61c81a3ae281be9738df33e8ddb23526805a9c33efe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d3551b0f3098eae5a8efd61c81a3ae281be9738df33e8ddb23526805a9c33efe","first_computed_at":"2026-07-05T02:00:49.158378Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:00:49.158378Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"y7CGoTZ0fMFe22L1Nlu3vV2kLMEtphPcYDbTgp+ct9vuOhTDdygvCz3AGGFMZZ+nWgOnaRaI5v+9PF4LCX//Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:00:49.158808Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.02528","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0dc405a4df475cef55006fd13f2aa09925754b07cc11fe790457a31c38627dea","sha256:4a34f60491b02b1fdc86fb1cdd07a157b0e9947b34969fa6a6e5b8e3b1f8a4a9"],"state_sha256":"d666430e50203b3ec6ce94d7287ac8e5a116b55b3099c3e739d5e80740832dfd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wi4she4xF/eWGhDNBqO0t5ipQxY08dV+lPrjhxsuwciPnao21Cd0QyoyYqXYo8B7gCsiFoFejRyh4YtpAnmLCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T08:39:28.025422Z","bundle_sha256":"7910bb301605c4704fbe7d7bb2f3cbaf59ec874305a19cb7ae47322c42283ba2"}}