{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:4VU65CVICKGRUL2VPKDBPC2GEL","short_pith_number":"pith:4VU65CVI","canonical_record":{"source":{"id":"2209.05523","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2022-09-12T18:08:45Z","cross_cats_sorted":[],"title_canon_sha256":"4d54a12c0382f1974f8540368661322f8f59af43b1f18022c0e4d156aaf5d4c3","abstract_canon_sha256":"7791ace7bd8b890fa40a6e421e9983b48d57a08de8cfeda8098833d025406c41"},"schema_version":"1.0"},"canonical_sha256":"e569ee8aa8128d1a2f557a86178b4622fe053b91b88f27b9286ec182fb432c27","source":{"kind":"arxiv","id":"2209.05523","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.05523","created_at":"2026-07-05T07:25:37Z"},{"alias_kind":"arxiv_version","alias_value":"2209.05523v2","created_at":"2026-07-05T07:25:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.05523","created_at":"2026-07-05T07:25:37Z"},{"alias_kind":"pith_short_12","alias_value":"4VU65CVICKGR","created_at":"2026-07-05T07:25:37Z"},{"alias_kind":"pith_short_16","alias_value":"4VU65CVICKGRUL2V","created_at":"2026-07-05T07:25:37Z"},{"alias_kind":"pith_short_8","alias_value":"4VU65CVI","created_at":"2026-07-05T07:25:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:4VU65CVICKGRUL2VPKDBPC2GEL","target":"record","payload":{"canonical_record":{"source":{"id":"2209.05523","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2022-09-12T18:08:45Z","cross_cats_sorted":[],"title_canon_sha256":"4d54a12c0382f1974f8540368661322f8f59af43b1f18022c0e4d156aaf5d4c3","abstract_canon_sha256":"7791ace7bd8b890fa40a6e421e9983b48d57a08de8cfeda8098833d025406c41"},"schema_version":"1.0"},"canonical_sha256":"e569ee8aa8128d1a2f557a86178b4622fe053b91b88f27b9286ec182fb432c27","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:25:37.694768Z","signature_b64":"dvvh8rqlzzUC/3xj5b9HIBERBdoMrAlhfPHpLXfXEgdaYRDt0X2YnG4g5JozxP3BhizM+RVgZujhsWaSyteiBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e569ee8aa8128d1a2f557a86178b4622fe053b91b88f27b9286ec182fb432c27","last_reissued_at":"2026-07-05T07:25:37.694327Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:25:37.694327Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2209.05523","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":"2026-07-05T07:25:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dC5rmEryMreEBTzDqbCM68vUHYbIkHOJWJFuV40pwscg9X/CTz4c9uq4f+hTUE+25FFcTwsWCTLHpnTpQZTEBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T02:52:00.205742Z"},"content_sha256":"ebfc5a780d883a179d1e983678e772e302317a308bbc7b1caa024fd98ad7b5e4","schema_version":"1.0","event_id":"sha256:ebfc5a780d883a179d1e983678e772e302317a308bbc7b1caa024fd98ad7b5e4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:4VU65CVICKGRUL2VPKDBPC2GEL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generalization despite overfitting in quantum machine learning models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Evan Peters, Maria Schuld","submitted_at":"2022-09-12T18:08:45Z","abstract_excerpt":"The widespread success of deep neural networks has revealed a surprise in classical machine learning: very complex models often generalize well while simultaneously overfitting training data. This phenomenon of benign overfitting has been studied for a variety of classical models with the goal of better understanding the mechanisms behind deep learning. Characterizing the phenomenon in the context of quantum machine learning might similarly improve our understanding of the relationship between overfitting, overparameterization, and generalization. In this work, we provide a characterization of"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.05523","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/2209.05523/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":"2026-07-05T07:25:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QwXO+s2xFP24uqaqMOrdDMvySLTbRugKuw9iKsehuNoODx6p8SkIvOXm4v9lQ+3E9IDOXY6vGNGzctOT6f2OAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T02:52:00.206380Z"},"content_sha256":"dfcdaec7b454db69c4dae962f69ebeaef6333cf915524b9bb0805a46b64c214a","schema_version":"1.0","event_id":"sha256:dfcdaec7b454db69c4dae962f69ebeaef6333cf915524b9bb0805a46b64c214a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4VU65CVICKGRUL2VPKDBPC2GEL/bundle.json","state_url":"https://pith.science/pith/4VU65CVICKGRUL2VPKDBPC2GEL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4VU65CVICKGRUL2VPKDBPC2GEL/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":"2026-08-08T02:52:00Z","links":{"resolver":"https://pith.science/pith/4VU65CVICKGRUL2VPKDBPC2GEL","bundle":"https://pith.science/pith/4VU65CVICKGRUL2VPKDBPC2GEL/bundle.json","state":"https://pith.science/pith/4VU65CVICKGRUL2VPKDBPC2GEL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4VU65CVICKGRUL2VPKDBPC2GEL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:4VU65CVICKGRUL2VPKDBPC2GEL","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":"7791ace7bd8b890fa40a6e421e9983b48d57a08de8cfeda8098833d025406c41","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2022-09-12T18:08:45Z","title_canon_sha256":"4d54a12c0382f1974f8540368661322f8f59af43b1f18022c0e4d156aaf5d4c3"},"schema_version":"1.0","source":{"id":"2209.05523","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.05523","created_at":"2026-07-05T07:25:37Z"},{"alias_kind":"arxiv_version","alias_value":"2209.05523v2","created_at":"2026-07-05T07:25:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.05523","created_at":"2026-07-05T07:25:37Z"},{"alias_kind":"pith_short_12","alias_value":"4VU65CVICKGR","created_at":"2026-07-05T07:25:37Z"},{"alias_kind":"pith_short_16","alias_value":"4VU65CVICKGRUL2V","created_at":"2026-07-05T07:25:37Z"},{"alias_kind":"pith_short_8","alias_value":"4VU65CVI","created_at":"2026-07-05T07:25:37Z"}],"graph_snapshots":[{"event_id":"sha256:dfcdaec7b454db69c4dae962f69ebeaef6333cf915524b9bb0805a46b64c214a","target":"graph","created_at":"2026-07-05T07:25:37Z","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/2209.05523/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The widespread success of deep neural networks has revealed a surprise in classical machine learning: very complex models often generalize well while simultaneously overfitting training data. This phenomenon of benign overfitting has been studied for a variety of classical models with the goal of better understanding the mechanisms behind deep learning. Characterizing the phenomenon in the context of quantum machine learning might similarly improve our understanding of the relationship between overfitting, overparameterization, and generalization. In this work, we provide a characterization of","authors_text":"Evan Peters, Maria Schuld","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2022-09-12T18:08:45Z","title":"Generalization despite overfitting in quantum machine learning models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.05523","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:ebfc5a780d883a179d1e983678e772e302317a308bbc7b1caa024fd98ad7b5e4","target":"record","created_at":"2026-07-05T07:25:37Z","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":"7791ace7bd8b890fa40a6e421e9983b48d57a08de8cfeda8098833d025406c41","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2022-09-12T18:08:45Z","title_canon_sha256":"4d54a12c0382f1974f8540368661322f8f59af43b1f18022c0e4d156aaf5d4c3"},"schema_version":"1.0","source":{"id":"2209.05523","kind":"arxiv","version":2}},"canonical_sha256":"e569ee8aa8128d1a2f557a86178b4622fe053b91b88f27b9286ec182fb432c27","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e569ee8aa8128d1a2f557a86178b4622fe053b91b88f27b9286ec182fb432c27","first_computed_at":"2026-07-05T07:25:37.694327Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:25:37.694327Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dvvh8rqlzzUC/3xj5b9HIBERBdoMrAlhfPHpLXfXEgdaYRDt0X2YnG4g5JozxP3BhizM+RVgZujhsWaSyteiBA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:25:37.694768Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.05523","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ebfc5a780d883a179d1e983678e772e302317a308bbc7b1caa024fd98ad7b5e4","sha256:dfcdaec7b454db69c4dae962f69ebeaef6333cf915524b9bb0805a46b64c214a"],"state_sha256":"7fd39ee271d758406e1ce8929d49f1e495e1d434660370e99b520801919e0023"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+4e7auqlZyTDdPXk3Lw+Kuxw1W0gogVVutZ7atkf6k8ZeulwcF8zhketTxOvcSs2djYLhZFAm80pHnTkyJBSDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T02:52:00.213894Z","bundle_sha256":"23d0662175fe04aba5fbe0246649d5f8e3eaff1849801e80164e176512c9c9e2"}}