{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:P4PBVBYLH5CSVBYLLIPH233S5B","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":"904b44e129961861488a83704c2a6863368559ac1d331a38f94a28cf545ccfdd","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-10-29T12:05:39Z","title_canon_sha256":"8f83d4e4360b6e8f4c92f3538fe36ee8134f9e12401fb79dc3d46fdb80219c1f"},"schema_version":"1.0","source":{"id":"2310.18988","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.18988","created_at":"2026-07-05T07:06:44Z"},{"alias_kind":"arxiv_version","alias_value":"2310.18988v1","created_at":"2026-07-05T07:06:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.18988","created_at":"2026-07-05T07:06:44Z"},{"alias_kind":"pith_short_12","alias_value":"P4PBVBYLH5CS","created_at":"2026-07-05T07:06:44Z"},{"alias_kind":"pith_short_16","alias_value":"P4PBVBYLH5CSVBYL","created_at":"2026-07-05T07:06:44Z"},{"alias_kind":"pith_short_8","alias_value":"P4PBVBYL","created_at":"2026-07-05T07:06:44Z"}],"graph_snapshots":[{"event_id":"sha256:4e686ef0ff5a9e0d853f6fa80f80e69ddc5bb49adb65feccd535c5e00448e687","target":"graph","created_at":"2026-07-05T07:06:44Z","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/2310.18988/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conventional statistical wisdom established a well-understood relationship between model complexity and prediction error, typically presented as a U-shaped curve reflecting a transition between under- and overfitting regimes. However, motivated by the success of overparametrized neural networks, recent influential work has suggested this theory to be generally incomplete, introducing an additional regime that exhibits a second descent in test error as the parameter count p grows past sample size n - a phenomenon dubbed double descent. While most attention has naturally been given to the deep-l","authors_text":"Alan Jeffares, Alicia Curth, Mihaela van der Schaar","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-10-29T12:05:39Z","title":"A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.18988","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:a8884fe42e22bb85f8ea45d3f89d037441e3948cd5add19fc50493a4668780e5","target":"record","created_at":"2026-07-05T07:06:44Z","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":"904b44e129961861488a83704c2a6863368559ac1d331a38f94a28cf545ccfdd","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-10-29T12:05:39Z","title_canon_sha256":"8f83d4e4360b6e8f4c92f3538fe36ee8134f9e12401fb79dc3d46fdb80219c1f"},"schema_version":"1.0","source":{"id":"2310.18988","kind":"arxiv","version":1}},"canonical_sha256":"7f1e1a870b3f452a870b5a1e7d6f72e858aa2a149863fbc01f260559e8adfe06","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7f1e1a870b3f452a870b5a1e7d6f72e858aa2a149863fbc01f260559e8adfe06","first_computed_at":"2026-07-05T07:06:44.371636Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:06:44.371636Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ObkjD6ixiAE/KZrTZ7K51daZ4e39gyJ5+YVRh+uUct7OpDX4HBURydwiqDoT1vrBpPnJ8YFmeA4oZP0wacg0BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:06:44.372153Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.18988","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a8884fe42e22bb85f8ea45d3f89d037441e3948cd5add19fc50493a4668780e5","sha256:4e686ef0ff5a9e0d853f6fa80f80e69ddc5bb49adb65feccd535c5e00448e687"],"state_sha256":"9731e34e98db8ba2b54c3f60a02193352cd62c13b169fad2194bb6bf29c44704"}