{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:JOZXNFUBN2CINMM7RWKJN5JBDH","short_pith_number":"pith:JOZXNFUB","canonical_record":{"source":{"id":"2009.08719","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2020-09-18T09:41:43Z","cross_cats_sorted":[],"title_canon_sha256":"9b1cf635f61e1d592938f9e226590413ef95bb345cda52ff2ed0f9890e7bf4cc","abstract_canon_sha256":"f3c90e5bef1f5ed787a1c0b42d3321af00ff72b3b480d49ce8532429991fadaf"},"schema_version":"1.0"},"canonical_sha256":"4bb37696816e8486b19f8d9496f52119c304b6c10a1b69b69ccbb77b3272d8fd","source":{"kind":"arxiv","id":"2009.08719","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.08719","created_at":"2026-07-05T01:36:21Z"},{"alias_kind":"arxiv_version","alias_value":"2009.08719v1","created_at":"2026-07-05T01:36:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.08719","created_at":"2026-07-05T01:36:21Z"},{"alias_kind":"pith_short_12","alias_value":"JOZXNFUBN2CI","created_at":"2026-07-05T01:36:21Z"},{"alias_kind":"pith_short_16","alias_value":"JOZXNFUBN2CINMM7","created_at":"2026-07-05T01:36:21Z"},{"alias_kind":"pith_short_8","alias_value":"JOZXNFUB","created_at":"2026-07-05T01:36:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:JOZXNFUBN2CINMM7RWKJN5JBDH","target":"record","payload":{"canonical_record":{"source":{"id":"2009.08719","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2020-09-18T09:41:43Z","cross_cats_sorted":[],"title_canon_sha256":"9b1cf635f61e1d592938f9e226590413ef95bb345cda52ff2ed0f9890e7bf4cc","abstract_canon_sha256":"f3c90e5bef1f5ed787a1c0b42d3321af00ff72b3b480d49ce8532429991fadaf"},"schema_version":"1.0"},"canonical_sha256":"4bb37696816e8486b19f8d9496f52119c304b6c10a1b69b69ccbb77b3272d8fd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:36:21.312148Z","signature_b64":"IAcKZqsEqESwDG5ICsv5ViKwfY7Qo5Pq9CJTY+W3BC8tJoZBSRc83d7BCQqzpx5VIHcdBVsOo2jVBS45RL7BAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4bb37696816e8486b19f8d9496f52119c304b6c10a1b69b69ccbb77b3272d8fd","last_reissued_at":"2026-07-05T01:36:21.311739Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:36:21.311739Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2009.08719","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":"2026-07-05T01:36:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3/xYRHmMM7OpaASTJv6prGCNhpk0BYjpviZs6xyPwWYesL3aHmlRMEXjHd1Qx+FcfJf1dmKsADo45tfFjY0iAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T03:25:27.814623Z"},"content_sha256":"28c3371ab4e3a286d58eda747f8926f65623bf8bff41532220d78f7618a9b7c3","schema_version":"1.0","event_id":"sha256:28c3371ab4e3a286d58eda747f8926f65623bf8bff41532220d78f7618a9b7c3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:JOZXNFUBN2CINMM7RWKJN5JBDH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adaptive Sieving with PPDNA: Generating Solution Paths of Exclusive Lasso Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Defeng Sun, Kim-Chuan Toh, Meixia Lin, Yancheng Yuan","submitted_at":"2020-09-18T09:41:43Z","abstract_excerpt":"The exclusive lasso (also known as elitist lasso) regularization has become popular recently due to its superior performance on structured sparsity. Its complex nature poses difficulties for the computation of high-dimensional machine learning models involving such a regularizer. In this paper, we propose an adaptive sieving (AS) strategy for generating solution paths of machine learning models with the exclusive lasso regularizer, wherein a sequence of reduced problems with much smaller sizes need to be solved. In order to solve these reduced problems, we propose a highly efficient dual Newto"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.08719","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2009.08719/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":"2026-07-05T01:36:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xxbMNgdnRDWdACSK/LeJ2zzDFDAvGXEmf8DOPBsZzNs2ta7qr8H4wpmMiTA7rz8fJF53XdbFkc+W6/1s0gZjAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T03:25:27.815811Z"},"content_sha256":"3d390aab5ec1e608b122a59cf9fa05c255741840c9b2b7ae263df1dd25ebce02","schema_version":"1.0","event_id":"sha256:3d390aab5ec1e608b122a59cf9fa05c255741840c9b2b7ae263df1dd25ebce02"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JOZXNFUBN2CINMM7RWKJN5JBDH/bundle.json","state_url":"https://pith.science/pith/JOZXNFUBN2CINMM7RWKJN5JBDH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JOZXNFUBN2CINMM7RWKJN5JBDH/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":"2026-08-14T03:25:27Z","links":{"resolver":"https://pith.science/pith/JOZXNFUBN2CINMM7RWKJN5JBDH","bundle":"https://pith.science/pith/JOZXNFUBN2CINMM7RWKJN5JBDH/bundle.json","state":"https://pith.science/pith/JOZXNFUBN2CINMM7RWKJN5JBDH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JOZXNFUBN2CINMM7RWKJN5JBDH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:JOZXNFUBN2CINMM7RWKJN5JBDH","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":"f3c90e5bef1f5ed787a1c0b42d3321af00ff72b3b480d49ce8532429991fadaf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2020-09-18T09:41:43Z","title_canon_sha256":"9b1cf635f61e1d592938f9e226590413ef95bb345cda52ff2ed0f9890e7bf4cc"},"schema_version":"1.0","source":{"id":"2009.08719","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.08719","created_at":"2026-07-05T01:36:21Z"},{"alias_kind":"arxiv_version","alias_value":"2009.08719v1","created_at":"2026-07-05T01:36:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.08719","created_at":"2026-07-05T01:36:21Z"},{"alias_kind":"pith_short_12","alias_value":"JOZXNFUBN2CI","created_at":"2026-07-05T01:36:21Z"},{"alias_kind":"pith_short_16","alias_value":"JOZXNFUBN2CINMM7","created_at":"2026-07-05T01:36:21Z"},{"alias_kind":"pith_short_8","alias_value":"JOZXNFUB","created_at":"2026-07-05T01:36:21Z"}],"graph_snapshots":[{"event_id":"sha256:3d390aab5ec1e608b122a59cf9fa05c255741840c9b2b7ae263df1dd25ebce02","target":"graph","created_at":"2026-07-05T01:36:21Z","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/2009.08719/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The exclusive lasso (also known as elitist lasso) regularization has become popular recently due to its superior performance on structured sparsity. Its complex nature poses difficulties for the computation of high-dimensional machine learning models involving such a regularizer. In this paper, we propose an adaptive sieving (AS) strategy for generating solution paths of machine learning models with the exclusive lasso regularizer, wherein a sequence of reduced problems with much smaller sizes need to be solved. In order to solve these reduced problems, we propose a highly efficient dual Newto","authors_text":"Defeng Sun, Kim-Chuan Toh, Meixia Lin, Yancheng Yuan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2020-09-18T09:41:43Z","title":"Adaptive Sieving with PPDNA: Generating Solution Paths of Exclusive Lasso Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.08719","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":"sha256:28c3371ab4e3a286d58eda747f8926f65623bf8bff41532220d78f7618a9b7c3","target":"record","created_at":"2026-07-05T01:36:21Z","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":"f3c90e5bef1f5ed787a1c0b42d3321af00ff72b3b480d49ce8532429991fadaf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2020-09-18T09:41:43Z","title_canon_sha256":"9b1cf635f61e1d592938f9e226590413ef95bb345cda52ff2ed0f9890e7bf4cc"},"schema_version":"1.0","source":{"id":"2009.08719","kind":"arxiv","version":1}},"canonical_sha256":"4bb37696816e8486b19f8d9496f52119c304b6c10a1b69b69ccbb77b3272d8fd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4bb37696816e8486b19f8d9496f52119c304b6c10a1b69b69ccbb77b3272d8fd","first_computed_at":"2026-07-05T01:36:21.311739Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:36:21.311739Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IAcKZqsEqESwDG5ICsv5ViKwfY7Qo5Pq9CJTY+W3BC8tJoZBSRc83d7BCQqzpx5VIHcdBVsOo2jVBS45RL7BAg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:36:21.312148Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.08719","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:28c3371ab4e3a286d58eda747f8926f65623bf8bff41532220d78f7618a9b7c3","sha256:3d390aab5ec1e608b122a59cf9fa05c255741840c9b2b7ae263df1dd25ebce02"],"state_sha256":"81524187988630aef74c63eb7e3bf6ac593166cfb948427c873cbe6b33ad2835"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qL9ch05yI/90/G461iibQuxyUGcAXWiglP2fPo1OIJKG+QqgbDTccclk20jX9U5CIwobOYk4MzINboSqJTQ3AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T03:25:27.840687Z","bundle_sha256":"39a2d649b1e42f4cde60e6f1525cdd251e09354231f62fbbdfdbddc8a00abad2"}}