{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:N6M7XRTPHYXHEGBDR2L2SQV6IJ","short_pith_number":"pith:N6M7XRTP","canonical_record":{"source":{"id":"1906.07590","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-06-18T14:00:19Z","cross_cats_sorted":["cs.NE","stat.ML"],"title_canon_sha256":"32cb17b33bd0d21d87034c1a5a03ad541248bceb05b86e2744f50cd35fd5e935","abstract_canon_sha256":"74e9cf5100eda9e4e7d7331c3c5b6bbc0517c40275f6ef1b29e3ee5390d11dd7"},"schema_version":"1.0"},"canonical_sha256":"6f99fbc66f3e2e7218238e97a942be42700a941fd6332587a7eee1767addc0b4","source":{"kind":"arxiv","id":"1906.07590","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.07590","created_at":"2026-05-17T23:43:07Z"},{"alias_kind":"arxiv_version","alias_value":"1906.07590v1","created_at":"2026-05-17T23:43:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.07590","created_at":"2026-05-17T23:43:07Z"},{"alias_kind":"pith_short_12","alias_value":"N6M7XRTPHYXH","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"N6M7XRTPHYXHEGBD","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"N6M7XRTP","created_at":"2026-05-18T12:33:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:N6M7XRTPHYXHEGBDR2L2SQV6IJ","target":"record","payload":{"canonical_record":{"source":{"id":"1906.07590","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-06-18T14:00:19Z","cross_cats_sorted":["cs.NE","stat.ML"],"title_canon_sha256":"32cb17b33bd0d21d87034c1a5a03ad541248bceb05b86e2744f50cd35fd5e935","abstract_canon_sha256":"74e9cf5100eda9e4e7d7331c3c5b6bbc0517c40275f6ef1b29e3ee5390d11dd7"},"schema_version":"1.0"},"canonical_sha256":"6f99fbc66f3e2e7218238e97a942be42700a941fd6332587a7eee1767addc0b4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:07.404558Z","signature_b64":"7UeAU7yd1qWepQcolg8wNs0onBaUWPW0KCeuNa9ToxnwqHZbW16ctRF7EfUoDFSPiyF0LdDECOPhT7Z//B7vDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6f99fbc66f3e2e7218238e97a942be42700a941fd6332587a7eee1767addc0b4","last_reissued_at":"2026-05-17T23:43:07.404046Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:07.404046Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.07590","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":"2026-05-17T23:43:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UBZEFixVgTydR4GaN+Bqkop52lvVhMWbyq1AJTLO2kfVzFMMNCL9pYRk/7jDU7U7AKenKF+6aJ7Ng4afGdfVCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T19:48:28.476498Z"},"content_sha256":"457bfa0b038c16ed069739e0f50785b93e61519336acb84e1d8228a2a22c4317","schema_version":"1.0","event_id":"sha256:457bfa0b038c16ed069739e0f50785b93e61519336acb84e1d8228a2a22c4317"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:N6M7XRTPHYXHEGBDR2L2SQV6IJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Study of the Learning Progress in Neural Architecture Search Techniques","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NE","stat.ML"],"primary_cat":"cs.LG","authors_text":"Mischa Schmidt, Prabhant Singh, Sebastien Nicolas, Tobias Jacobs","submitted_at":"2019-06-18T14:00:19Z","abstract_excerpt":"In neural architecture search, the structure of the neural network to best model a given dataset is determined by an automated search process. Efficient Neural Architecture Search (ENAS), proposed by Pham et al. (2018), has recently received considerable attention due to its ability to find excellent architectures within a comparably short search time. In this work, which is motivated by the quest to further improve the learning speed of architecture search, we evaluate the learning progress of the controller which generates the architectures in ENAS. We measure the progress by comparing the a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.07590","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:43:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r1jhKwHuWh28nXj4ir+mPH9uwv4BbIYeycx9NsZD1oKf4DhnwWaXapjDaV2mb2uIKhWRQxbWGcc+Cch3/lAQCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T19:48:28.476855Z"},"content_sha256":"4e9e7c651232710f7b228f263cd0f68d7f8ce99e33c911db7d6cc0226cbae11d","schema_version":"1.0","event_id":"sha256:4e9e7c651232710f7b228f263cd0f68d7f8ce99e33c911db7d6cc0226cbae11d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/N6M7XRTPHYXHEGBDR2L2SQV6IJ/bundle.json","state_url":"https://pith.science/pith/N6M7XRTPHYXHEGBDR2L2SQV6IJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/N6M7XRTPHYXHEGBDR2L2SQV6IJ/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":"2026-06-23T19:48:28Z","links":{"resolver":"https://pith.science/pith/N6M7XRTPHYXHEGBDR2L2SQV6IJ","bundle":"https://pith.science/pith/N6M7XRTPHYXHEGBDR2L2SQV6IJ/bundle.json","state":"https://pith.science/pith/N6M7XRTPHYXHEGBDR2L2SQV6IJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/N6M7XRTPHYXHEGBDR2L2SQV6IJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:N6M7XRTPHYXHEGBDR2L2SQV6IJ","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":"74e9cf5100eda9e4e7d7331c3c5b6bbc0517c40275f6ef1b29e3ee5390d11dd7","cross_cats_sorted":["cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-06-18T14:00:19Z","title_canon_sha256":"32cb17b33bd0d21d87034c1a5a03ad541248bceb05b86e2744f50cd35fd5e935"},"schema_version":"1.0","source":{"id":"1906.07590","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.07590","created_at":"2026-05-17T23:43:07Z"},{"alias_kind":"arxiv_version","alias_value":"1906.07590v1","created_at":"2026-05-17T23:43:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.07590","created_at":"2026-05-17T23:43:07Z"},{"alias_kind":"pith_short_12","alias_value":"N6M7XRTPHYXH","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"N6M7XRTPHYXHEGBD","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"N6M7XRTP","created_at":"2026-05-18T12:33:24Z"}],"graph_snapshots":[{"event_id":"sha256:4e9e7c651232710f7b228f263cd0f68d7f8ce99e33c911db7d6cc0226cbae11d","target":"graph","created_at":"2026-05-17T23:43:07Z","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"},"paper":{"abstract_excerpt":"In neural architecture search, the structure of the neural network to best model a given dataset is determined by an automated search process. Efficient Neural Architecture Search (ENAS), proposed by Pham et al. (2018), has recently received considerable attention due to its ability to find excellent architectures within a comparably short search time. In this work, which is motivated by the quest to further improve the learning speed of architecture search, we evaluate the learning progress of the controller which generates the architectures in ENAS. We measure the progress by comparing the a","authors_text":"Mischa Schmidt, Prabhant Singh, Sebastien Nicolas, Tobias Jacobs","cross_cats":["cs.NE","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-06-18T14:00:19Z","title":"A Study of the Learning Progress in Neural Architecture Search Techniques"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.07590","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":"sha256:457bfa0b038c16ed069739e0f50785b93e61519336acb84e1d8228a2a22c4317","target":"record","created_at":"2026-05-17T23:43:07Z","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":"74e9cf5100eda9e4e7d7331c3c5b6bbc0517c40275f6ef1b29e3ee5390d11dd7","cross_cats_sorted":["cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-06-18T14:00:19Z","title_canon_sha256":"32cb17b33bd0d21d87034c1a5a03ad541248bceb05b86e2744f50cd35fd5e935"},"schema_version":"1.0","source":{"id":"1906.07590","kind":"arxiv","version":1}},"canonical_sha256":"6f99fbc66f3e2e7218238e97a942be42700a941fd6332587a7eee1767addc0b4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6f99fbc66f3e2e7218238e97a942be42700a941fd6332587a7eee1767addc0b4","first_computed_at":"2026-05-17T23:43:07.404046Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:43:07.404046Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7UeAU7yd1qWepQcolg8wNs0onBaUWPW0KCeuNa9ToxnwqHZbW16ctRF7EfUoDFSPiyF0LdDECOPhT7Z//B7vDw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:43:07.404558Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.07590","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:457bfa0b038c16ed069739e0f50785b93e61519336acb84e1d8228a2a22c4317","sha256:4e9e7c651232710f7b228f263cd0f68d7f8ce99e33c911db7d6cc0226cbae11d"],"state_sha256":"c467028bbc8565adf24b17cdf64ae1c29ecae1e22db9aae79169556de4ec8ed8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q7xeYUm1X0sVhHdu0e5uwgtGNjSb4wRF7Ck+Ppr6IrGIvQCfQnMKBQTPiberngGI4tN6ImZB6vO8sKmIeWovCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-23T19:48:28.478914Z","bundle_sha256":"c9fd2469afd18b2ce1e203b77ed3678874abe3ca370d084b7f67abdfe0a060c3"}}