{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:EBO72R5MNCN4UAT5CYYF7P5FLA","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":"8d2ad03c423c591afb413e43bab23e657ffcd0fc8cd6facb8736eff6669b4dc0","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-02-02T08:22:35Z","title_canon_sha256":"a1da54b690ae5cc40553be57e0b4fd4d273ecc777e97ddccb0256e3e5c8ffea3"},"schema_version":"1.0","source":{"id":"2302.00932","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.00932","created_at":"2026-07-05T05:38:14Z"},{"alias_kind":"arxiv_version","alias_value":"2302.00932v1","created_at":"2026-07-05T05:38:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.00932","created_at":"2026-07-05T05:38:14Z"},{"alias_kind":"pith_short_12","alias_value":"EBO72R5MNCN4","created_at":"2026-07-05T05:38:14Z"},{"alias_kind":"pith_short_16","alias_value":"EBO72R5MNCN4UAT5","created_at":"2026-07-05T05:38:14Z"},{"alias_kind":"pith_short_8","alias_value":"EBO72R5M","created_at":"2026-07-05T05:38:14Z"}],"graph_snapshots":[{"event_id":"sha256:a6ff989744fba1f194df67ff5addd028f7bc645f76ac237bdb1dea60a4715dad","target":"graph","created_at":"2026-07-05T05:38:14Z","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/2302.00932/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Predictor-based Neural Architecture Search (NAS) employs an architecture performance predictor to improve the sample efficiency. However, predictor-based NAS suffers from the severe ``cold-start'' problem, since a large amount of architecture-performance data is required to get a working predictor. In this paper, we focus on exploiting information in cheaper-to-obtain performance estimations (i.e., low-fidelity information) to mitigate the large data requirements of predictor training. Despite the intuitiveness of this idea, we observe that using inappropriate low-fidelity information even dam","authors_text":"Binxin Ru, Chen Chen, Enshu Liu, Jiajin Zhang, Junbo Zhao, Qingmin Liao, Tianchen Zhao, Xuefei Ning, Yu Wang, Zixuan Zhou","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-02-02T08:22:35Z","title":"Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS \"Cold-Start\""},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.00932","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":"sha256:845e58a16a73e5ce533938b9ccf490d0bdd51b8c49a6023ae12cf3a8bdddf550","target":"record","created_at":"2026-07-05T05:38:14Z","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":"8d2ad03c423c591afb413e43bab23e657ffcd0fc8cd6facb8736eff6669b4dc0","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-02-02T08:22:35Z","title_canon_sha256":"a1da54b690ae5cc40553be57e0b4fd4d273ecc777e97ddccb0256e3e5c8ffea3"},"schema_version":"1.0","source":{"id":"2302.00932","kind":"arxiv","version":1}},"canonical_sha256":"205dfd47ac689bca027d16305fbfa5583758d8d69ce9b01a0924b11abe374b64","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"205dfd47ac689bca027d16305fbfa5583758d8d69ce9b01a0924b11abe374b64","first_computed_at":"2026-07-05T05:38:14.078360Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:38:14.078360Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cM8YatgXbddDn1lxmf/qmjiktSTOxohV/dUsa5WJJzMmyG70KUZPpL7ymDjTigp4+upzCW0nDyX60UY5m2A/Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:38:14.078757Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.00932","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:845e58a16a73e5ce533938b9ccf490d0bdd51b8c49a6023ae12cf3a8bdddf550","sha256:a6ff989744fba1f194df67ff5addd028f7bc645f76ac237bdb1dea60a4715dad"],"state_sha256":"a4a0f8377de276bec10c5972a597ee6403a79378488e6a3e9f0b85a32ab22bc3"}