{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:B5JW4UHLST3V2R6DJDQFM7C7M3","short_pith_number":"pith:B5JW4UHL","schema_version":"1.0","canonical_sha256":"0f536e50eb94f75d47c348e0567c5f66e9a9da56aa49740e6599565bdb0dfcb6","source":{"kind":"arxiv","id":"1706.07101","version":1},"attestation_state":"computed","paper":{"title":"The energy landscape of a simple neural network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Alden Walker, Anthony Collins Gamst","submitted_at":"2017-06-21T19:51:43Z","abstract_excerpt":"We explore the energy landscape of a simple neural network. In particular, we expand upon previous work demonstrating that the empirical complexity of fitted neural networks is vastly less than a naive parameter count would suggest and that this implicit regularization is actually beneficial for generalization from fitted models."},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1706.07101","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-06-21T19:51:43Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"88b450be1a813c27fa39faf3528c361d856ce29308865e5d8ca6e5cee42d3944","abstract_canon_sha256":"3db0db6d8f8dc9765d74509ff1b99aeb624cdf2153415c9364f5a3630a1b4140"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:41:52.606808Z","signature_b64":"E8SQsJJCatWoslv5u8CU85Bhzt5THkS4aQhUhS/cmBYIAH1eHZclu4um1Hidmuy1brfcmnQ9tbnWCTL05jmzDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0f536e50eb94f75d47c348e0567c5f66e9a9da56aa49740e6599565bdb0dfcb6","last_reissued_at":"2026-05-18T00:41:52.606069Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:41:52.606069Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The energy landscape of a simple neural network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Alden Walker, Anthony Collins Gamst","submitted_at":"2017-06-21T19:51:43Z","abstract_excerpt":"We explore the energy landscape of a simple neural network. In particular, we expand upon previous work demonstrating that the empirical complexity of fitted neural networks is vastly less than a naive parameter count would suggest and that this implicit regularization is actually beneficial for generalization from fitted models."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.07101","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":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1706.07101","created_at":"2026-05-18T00:41:52.606202+00:00"},{"alias_kind":"arxiv_version","alias_value":"1706.07101v1","created_at":"2026-05-18T00:41:52.606202+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.07101","created_at":"2026-05-18T00:41:52.606202+00:00"},{"alias_kind":"pith_short_12","alias_value":"B5JW4UHLST3V","created_at":"2026-05-18T12:31:08.081275+00:00"},{"alias_kind":"pith_short_16","alias_value":"B5JW4UHLST3V2R6D","created_at":"2026-05-18T12:31:08.081275+00:00"},{"alias_kind":"pith_short_8","alias_value":"B5JW4UHL","created_at":"2026-05-18T12:31:08.081275+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/B5JW4UHLST3V2R6DJDQFM7C7M3","json":"https://pith.science/pith/B5JW4UHLST3V2R6DJDQFM7C7M3.json","graph_json":"https://pith.science/api/pith-number/B5JW4UHLST3V2R6DJDQFM7C7M3/graph.json","events_json":"https://pith.science/api/pith-number/B5JW4UHLST3V2R6DJDQFM7C7M3/events.json","paper":"https://pith.science/paper/B5JW4UHL"},"agent_actions":{"view_html":"https://pith.science/pith/B5JW4UHLST3V2R6DJDQFM7C7M3","download_json":"https://pith.science/pith/B5JW4UHLST3V2R6DJDQFM7C7M3.json","view_paper":"https://pith.science/paper/B5JW4UHL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1706.07101&json=true","fetch_graph":"https://pith.science/api/pith-number/B5JW4UHLST3V2R6DJDQFM7C7M3/graph.json","fetch_events":"https://pith.science/api/pith-number/B5JW4UHLST3V2R6DJDQFM7C7M3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/B5JW4UHLST3V2R6DJDQFM7C7M3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/B5JW4UHLST3V2R6DJDQFM7C7M3/action/storage_attestation","attest_author":"https://pith.science/pith/B5JW4UHLST3V2R6DJDQFM7C7M3/action/author_attestation","sign_citation":"https://pith.science/pith/B5JW4UHLST3V2R6DJDQFM7C7M3/action/citation_signature","submit_replication":"https://pith.science/pith/B5JW4UHLST3V2R6DJDQFM7C7M3/action/replication_record"}},"created_at":"2026-05-18T00:41:52.606202+00:00","updated_at":"2026-05-18T00:41:52.606202+00:00"}