{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:G6N6ZQLVAGP4MQGANVMBAQNLMZ","short_pith_number":"pith:G6N6ZQLV","canonical_record":{"source":{"id":"2207.12547","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-07-25T21:45:32Z","cross_cats_sorted":[],"title_canon_sha256":"556249da8f4beda20aa7404a56be5af5cf0bc9410a7fad136778fff38471e628","abstract_canon_sha256":"4317ed92bfe76691e3ddc47a1b6af3e294bbb79e9795a484c6ce8719f304c924"},"schema_version":"1.0"},"canonical_sha256":"379becc175019fc640c06d581041ab667cf9df0075754ee7f799b884eb0fcdae","source":{"kind":"arxiv","id":"2207.12547","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.12547","created_at":"2026-07-05T07:01:23Z"},{"alias_kind":"arxiv_version","alias_value":"2207.12547v2","created_at":"2026-07-05T07:01:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.12547","created_at":"2026-07-05T07:01:23Z"},{"alias_kind":"pith_short_12","alias_value":"G6N6ZQLVAGP4","created_at":"2026-07-05T07:01:23Z"},{"alias_kind":"pith_short_16","alias_value":"G6N6ZQLVAGP4MQGA","created_at":"2026-07-05T07:01:23Z"},{"alias_kind":"pith_short_8","alias_value":"G6N6ZQLV","created_at":"2026-07-05T07:01:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:G6N6ZQLVAGP4MQGANVMBAQNLMZ","target":"record","payload":{"canonical_record":{"source":{"id":"2207.12547","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-07-25T21:45:32Z","cross_cats_sorted":[],"title_canon_sha256":"556249da8f4beda20aa7404a56be5af5cf0bc9410a7fad136778fff38471e628","abstract_canon_sha256":"4317ed92bfe76691e3ddc47a1b6af3e294bbb79e9795a484c6ce8719f304c924"},"schema_version":"1.0"},"canonical_sha256":"379becc175019fc640c06d581041ab667cf9df0075754ee7f799b884eb0fcdae","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:01:23.580991Z","signature_b64":"6MPbv9uV3q2x1sZrNZPyCQkoy8V96QSZhB19Rg5Yqp4gtPgJT3rFoJKo2i/+g+J4GXHherbKLVR61FqBwv/0BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"379becc175019fc640c06d581041ab667cf9df0075754ee7f799b884eb0fcdae","last_reissued_at":"2026-07-05T07:01:23.580547Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:01:23.580547Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2207.12547","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":"2026-07-05T07:01:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oH8B8HULY/QPcstgz4E30FDJLYlFz3GKJi81GSyd3wjas4BmekrWIhVry/F5KW+2CRUxjBjtkLvYmMMUtFr8BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T09:45:06.624716Z"},"content_sha256":"1fb3a41a26891e2ef0478d75952b0373f5ca1826a1053d14be9587928a9acde7","schema_version":"1.0","event_id":"sha256:1fb3a41a26891e2ef0478d75952b0373f5ca1826a1053d14be9587928a9acde7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:G6N6ZQLVAGP4MQGANVMBAQNLMZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The BUTTER Zone: An Empirical Study of Training Dynamics in Fully Connected Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Charles Edison Tripp, Jamil Gafur, Jordan Perr-Sauer, Lucas Hayne, Monte Lunacek","submitted_at":"2022-07-25T21:45:32Z","abstract_excerpt":"We present an empirical dataset surveying the deep learning phenomenon on fully-connected feed-forward multilayer perceptron neural networks. The dataset, which is now freely available online, records the per-epoch training and generalization performance of 483 thousand distinct hyperparameter choices of architectures, tasks, depths, network sizes (number of parameters), learning rates, batch sizes, and regularization penalties. Repeating each experiment an average of 24 times resulted in 11 million total training runs and 40 billion epochs recorded. Accumulating this 1.7 TB dataset utilized 1"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.12547","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/2207.12547/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":"2026-07-05T07:01:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DD4HFKMY6YuLtCC0V23FZNf5RjSnvUDine6+YQAgS3RxbEKqxi9kadeVIJ/QdqJWdDSSYT/dNyUjfneAFxW+DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T09:45:06.625089Z"},"content_sha256":"dceb06a728ccb2e0472ab23b35212535e50d82e22ec9d6f76e4597c3b77e4928","schema_version":"1.0","event_id":"sha256:dceb06a728ccb2e0472ab23b35212535e50d82e22ec9d6f76e4597c3b77e4928"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/G6N6ZQLVAGP4MQGANVMBAQNLMZ/bundle.json","state_url":"https://pith.science/pith/G6N6ZQLVAGP4MQGANVMBAQNLMZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/G6N6ZQLVAGP4MQGANVMBAQNLMZ/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":"2026-07-10T09:45:06Z","links":{"resolver":"https://pith.science/pith/G6N6ZQLVAGP4MQGANVMBAQNLMZ","bundle":"https://pith.science/pith/G6N6ZQLVAGP4MQGANVMBAQNLMZ/bundle.json","state":"https://pith.science/pith/G6N6ZQLVAGP4MQGANVMBAQNLMZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/G6N6ZQLVAGP4MQGANVMBAQNLMZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:G6N6ZQLVAGP4MQGANVMBAQNLMZ","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":"4317ed92bfe76691e3ddc47a1b6af3e294bbb79e9795a484c6ce8719f304c924","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-07-25T21:45:32Z","title_canon_sha256":"556249da8f4beda20aa7404a56be5af5cf0bc9410a7fad136778fff38471e628"},"schema_version":"1.0","source":{"id":"2207.12547","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.12547","created_at":"2026-07-05T07:01:23Z"},{"alias_kind":"arxiv_version","alias_value":"2207.12547v2","created_at":"2026-07-05T07:01:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.12547","created_at":"2026-07-05T07:01:23Z"},{"alias_kind":"pith_short_12","alias_value":"G6N6ZQLVAGP4","created_at":"2026-07-05T07:01:23Z"},{"alias_kind":"pith_short_16","alias_value":"G6N6ZQLVAGP4MQGA","created_at":"2026-07-05T07:01:23Z"},{"alias_kind":"pith_short_8","alias_value":"G6N6ZQLV","created_at":"2026-07-05T07:01:23Z"}],"graph_snapshots":[{"event_id":"sha256:dceb06a728ccb2e0472ab23b35212535e50d82e22ec9d6f76e4597c3b77e4928","target":"graph","created_at":"2026-07-05T07:01:23Z","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/2207.12547/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present an empirical dataset surveying the deep learning phenomenon on fully-connected feed-forward multilayer perceptron neural networks. The dataset, which is now freely available online, records the per-epoch training and generalization performance of 483 thousand distinct hyperparameter choices of architectures, tasks, depths, network sizes (number of parameters), learning rates, batch sizes, and regularization penalties. Repeating each experiment an average of 24 times resulted in 11 million total training runs and 40 billion epochs recorded. Accumulating this 1.7 TB dataset utilized 1","authors_text":"Charles Edison Tripp, Jamil Gafur, Jordan Perr-Sauer, Lucas Hayne, Monte Lunacek","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-07-25T21:45:32Z","title":"The BUTTER Zone: An Empirical Study of Training Dynamics in Fully Connected Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.12547","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":"sha256:1fb3a41a26891e2ef0478d75952b0373f5ca1826a1053d14be9587928a9acde7","target":"record","created_at":"2026-07-05T07:01:23Z","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":"4317ed92bfe76691e3ddc47a1b6af3e294bbb79e9795a484c6ce8719f304c924","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-07-25T21:45:32Z","title_canon_sha256":"556249da8f4beda20aa7404a56be5af5cf0bc9410a7fad136778fff38471e628"},"schema_version":"1.0","source":{"id":"2207.12547","kind":"arxiv","version":2}},"canonical_sha256":"379becc175019fc640c06d581041ab667cf9df0075754ee7f799b884eb0fcdae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"379becc175019fc640c06d581041ab667cf9df0075754ee7f799b884eb0fcdae","first_computed_at":"2026-07-05T07:01:23.580547Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:01:23.580547Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6MPbv9uV3q2x1sZrNZPyCQkoy8V96QSZhB19Rg5Yqp4gtPgJT3rFoJKo2i/+g+J4GXHherbKLVR61FqBwv/0BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:01:23.580991Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.12547","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1fb3a41a26891e2ef0478d75952b0373f5ca1826a1053d14be9587928a9acde7","sha256:dceb06a728ccb2e0472ab23b35212535e50d82e22ec9d6f76e4597c3b77e4928"],"state_sha256":"7847a2fc487f95ffacda2d1fa2c684b9bc28873406b98fcce480b1dcab297744"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z2/84chsuRDXLxOWndE55dPXOAZlpoVeMrNOjfchi8X4j0r/msBw+JvWmgUA9expRipwdCCciRBPv6kXA24tCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-10T09:45:06.627007Z","bundle_sha256":"2ba6994de959ea470a57d1044345d233de4f749165c633b947d96b04a1b1b488"}}