{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:ZE4MY5XNDJXPMYQPFOPQLSKV3B","short_pith_number":"pith:ZE4MY5XN","canonical_record":{"source":{"id":"2110.03273","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-07T08:57:46Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"d75e768cd05302f74734580c16de76e9b893399c0e4cf6c12a518b5f348c62d2","abstract_canon_sha256":"7fb18166a3c70f17462124e5c111ae0c9abc800917ff34cc6155a665fe205b8c"},"schema_version":"1.0"},"canonical_sha256":"c938cc76ed1a6ef6620f2b9f05c955d85e7e207c32281428ffa3eacb19b59364","source":{"kind":"arxiv","id":"2110.03273","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.03273","created_at":"2026-07-05T03:20:41Z"},{"alias_kind":"arxiv_version","alias_value":"2110.03273v1","created_at":"2026-07-05T03:20:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.03273","created_at":"2026-07-05T03:20:41Z"},{"alias_kind":"pith_short_12","alias_value":"ZE4MY5XNDJXP","created_at":"2026-07-05T03:20:41Z"},{"alias_kind":"pith_short_16","alias_value":"ZE4MY5XNDJXPMYQP","created_at":"2026-07-05T03:20:41Z"},{"alias_kind":"pith_short_8","alias_value":"ZE4MY5XN","created_at":"2026-07-05T03:20:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:ZE4MY5XNDJXPMYQPFOPQLSKV3B","target":"record","payload":{"canonical_record":{"source":{"id":"2110.03273","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-07T08:57:46Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"d75e768cd05302f74734580c16de76e9b893399c0e4cf6c12a518b5f348c62d2","abstract_canon_sha256":"7fb18166a3c70f17462124e5c111ae0c9abc800917ff34cc6155a665fe205b8c"},"schema_version":"1.0"},"canonical_sha256":"c938cc76ed1a6ef6620f2b9f05c955d85e7e207c32281428ffa3eacb19b59364","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:20:41.082973Z","signature_b64":"vRv6R4dltlG5wTONopkJP+R1ut8I+kwERgrSS+OaIl5muavMCLcumvq1a7jAQEMfffJ0rF7kDhl8doz4G3pmAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c938cc76ed1a6ef6620f2b9f05c955d85e7e207c32281428ffa3eacb19b59364","last_reissued_at":"2026-07-05T03:20:41.082574Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:20:41.082574Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2110.03273","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":"2026-07-05T03:20:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gt30GaxKE8zmbf4CCwAQ9sUPcZW6ZOJvy+jNAfY5mO+gjxZ5uHHXGWhtyM/SUj0powfd3IyYI5miXvwHijktBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T13:49:38.573008Z"},"content_sha256":"5d40331d63aa9d3a291efdd4f2d025ba4c6a7f3da0ef4a63c1b58284bc177e3b","schema_version":"1.0","event_id":"sha256:5d40331d63aa9d3a291efdd4f2d025ba4c6a7f3da0ef4a63c1b58284bc177e3b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:ZE4MY5XNDJXPMYQPFOPQLSKV3B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Dejing Dou, Dongrui Wu, Haiyan Jiang, Haoyi Xiong, Ji Liu","submitted_at":"2021-10-07T08:57:46Z","abstract_excerpt":"Principal component analysis (PCA) has been widely used as an effective technique for feature extraction and dimension reduction. In the High Dimension Low Sample Size (HDLSS) setting, one may prefer modified principal components, with penalized loadings, and automated penalty selection by implementing model selection among these different models with varying penalties. The earlier work [1, 2] has proposed penalized PCA, indicating the feasibility of model selection in $L_2$- penalized PCA through the solution path of Ridge regression, however, it is extremely time-consuming because of the int"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.03273","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/2110.03273/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":"2026-07-05T03:20:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MSbZ4RPN50QssLgjcwOcDKhvpAx7fRgG8jj7OGiSd2BSNbG3RV5ah6u39nncGlEm5oJaVMUW5QXNsTP8y4VBBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T13:49:38.573789Z"},"content_sha256":"ad3b4eee7d2c36f78c4e5396976b73af3df416995aaf7312b220dc8cdb29b075","schema_version":"1.0","event_id":"sha256:ad3b4eee7d2c36f78c4e5396976b73af3df416995aaf7312b220dc8cdb29b075"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZE4MY5XNDJXPMYQPFOPQLSKV3B/bundle.json","state_url":"https://pith.science/pith/ZE4MY5XNDJXPMYQPFOPQLSKV3B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZE4MY5XNDJXPMYQPFOPQLSKV3B/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":"2026-07-31T13:49:38Z","links":{"resolver":"https://pith.science/pith/ZE4MY5XNDJXPMYQPFOPQLSKV3B","bundle":"https://pith.science/pith/ZE4MY5XNDJXPMYQPFOPQLSKV3B/bundle.json","state":"https://pith.science/pith/ZE4MY5XNDJXPMYQPFOPQLSKV3B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZE4MY5XNDJXPMYQPFOPQLSKV3B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:ZE4MY5XNDJXPMYQPFOPQLSKV3B","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":"7fb18166a3c70f17462124e5c111ae0c9abc800917ff34cc6155a665fe205b8c","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-07T08:57:46Z","title_canon_sha256":"d75e768cd05302f74734580c16de76e9b893399c0e4cf6c12a518b5f348c62d2"},"schema_version":"1.0","source":{"id":"2110.03273","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.03273","created_at":"2026-07-05T03:20:41Z"},{"alias_kind":"arxiv_version","alias_value":"2110.03273v1","created_at":"2026-07-05T03:20:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.03273","created_at":"2026-07-05T03:20:41Z"},{"alias_kind":"pith_short_12","alias_value":"ZE4MY5XNDJXP","created_at":"2026-07-05T03:20:41Z"},{"alias_kind":"pith_short_16","alias_value":"ZE4MY5XNDJXPMYQP","created_at":"2026-07-05T03:20:41Z"},{"alias_kind":"pith_short_8","alias_value":"ZE4MY5XN","created_at":"2026-07-05T03:20:41Z"}],"graph_snapshots":[{"event_id":"sha256:ad3b4eee7d2c36f78c4e5396976b73af3df416995aaf7312b220dc8cdb29b075","target":"graph","created_at":"2026-07-05T03:20:41Z","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/2110.03273/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Principal component analysis (PCA) has been widely used as an effective technique for feature extraction and dimension reduction. In the High Dimension Low Sample Size (HDLSS) setting, one may prefer modified principal components, with penalized loadings, and automated penalty selection by implementing model selection among these different models with varying penalties. The earlier work [1, 2] has proposed penalized PCA, indicating the feasibility of model selection in $L_2$- penalized PCA through the solution path of Ridge regression, however, it is extremely time-consuming because of the int","authors_text":"Dejing Dou, Dongrui Wu, Haiyan Jiang, Haoyi Xiong, Ji Liu","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-07T08:57:46Z","title":"AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.03273","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":"sha256:5d40331d63aa9d3a291efdd4f2d025ba4c6a7f3da0ef4a63c1b58284bc177e3b","target":"record","created_at":"2026-07-05T03:20:41Z","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":"7fb18166a3c70f17462124e5c111ae0c9abc800917ff34cc6155a665fe205b8c","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-07T08:57:46Z","title_canon_sha256":"d75e768cd05302f74734580c16de76e9b893399c0e4cf6c12a518b5f348c62d2"},"schema_version":"1.0","source":{"id":"2110.03273","kind":"arxiv","version":1}},"canonical_sha256":"c938cc76ed1a6ef6620f2b9f05c955d85e7e207c32281428ffa3eacb19b59364","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c938cc76ed1a6ef6620f2b9f05c955d85e7e207c32281428ffa3eacb19b59364","first_computed_at":"2026-07-05T03:20:41.082574Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:20:41.082574Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vRv6R4dltlG5wTONopkJP+R1ut8I+kwERgrSS+OaIl5muavMCLcumvq1a7jAQEMfffJ0rF7kDhl8doz4G3pmAA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:20:41.082973Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.03273","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5d40331d63aa9d3a291efdd4f2d025ba4c6a7f3da0ef4a63c1b58284bc177e3b","sha256:ad3b4eee7d2c36f78c4e5396976b73af3df416995aaf7312b220dc8cdb29b075"],"state_sha256":"3f82960e2177e330097b9f54388e64d40eada8d8395529b5daa614e86dcb4d41"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QGoejcuOOcyxP7CxmlUbBDRaBjdXpqdlh3njIhKeIXY/8N+NwOsgv/BEOY29PskSUuJfhJqNXk1gDlYNnbXtBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T13:49:38.577100Z","bundle_sha256":"59e995d44bb4012308e01cfe19788d7c0b8010b53f33f4fdde9d49bf35640363"}}