{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:DUZBDLGR562S2BZ5VFCSCW4NSZ","short_pith_number":"pith:DUZBDLGR","canonical_record":{"source":{"id":"2101.08134","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-01-20T13:59:52Z","cross_cats_sorted":["cs.AI","cs.NE"],"title_canon_sha256":"e209af5bf873b14fac65bb4fd16d4f1c0be8716ba97814afb5927c4fb05a108e","abstract_canon_sha256":"1c5aec9c3b8c4dfc408543995506b07b629e117d9bb98e7e4094808e10bc8896"},"schema_version":"1.0"},"canonical_sha256":"1d3211acd1efb52d073da945215b8d96663193d5918e93ce8fc2113859bf0d0e","source":{"kind":"arxiv","id":"2101.08134","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.08134","created_at":"2026-07-05T02:24:39Z"},{"alias_kind":"arxiv_version","alias_value":"2101.08134v2","created_at":"2026-07-05T02:24:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.08134","created_at":"2026-07-05T02:24:39Z"},{"alias_kind":"pith_short_12","alias_value":"DUZBDLGR562S","created_at":"2026-07-05T02:24:39Z"},{"alias_kind":"pith_short_16","alias_value":"DUZBDLGR562S2BZ5","created_at":"2026-07-05T02:24:39Z"},{"alias_kind":"pith_short_8","alias_value":"DUZBDLGR","created_at":"2026-07-05T02:24:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:DUZBDLGR562S2BZ5VFCSCW4NSZ","target":"record","payload":{"canonical_record":{"source":{"id":"2101.08134","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-01-20T13:59:52Z","cross_cats_sorted":["cs.AI","cs.NE"],"title_canon_sha256":"e209af5bf873b14fac65bb4fd16d4f1c0be8716ba97814afb5927c4fb05a108e","abstract_canon_sha256":"1c5aec9c3b8c4dfc408543995506b07b629e117d9bb98e7e4094808e10bc8896"},"schema_version":"1.0"},"canonical_sha256":"1d3211acd1efb52d073da945215b8d96663193d5918e93ce8fc2113859bf0d0e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:24:39.816934Z","signature_b64":"3gl04Sy/V3xBl2P6D8gM2HexNjIENvQdVVtgiPg7Q0eUQqK72rqNVMlNQ9x/gukd12FRJS9zQhe+bIM+tSjOCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1d3211acd1efb52d073da945215b8d96663193d5918e93ce8fc2113859bf0d0e","last_reissued_at":"2026-07-05T02:24:39.816328Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:24:39.816328Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2101.08134","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":"2026-07-05T02:24:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fbJz+rhTVaa1gDUkTky0wJssyaQkHYRta4R+RhYwIhNu3VuwSmQNVfLXV16gqj73PaOFd3ARBh0cEr3/x8y6CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:12:15.818772Z"},"content_sha256":"b0d2bb0997b8dd0cba59ba681bc51fcc5ecf9e5d1d6fce8be35125609c36ea26","schema_version":"1.0","event_id":"sha256:b0d2bb0997b8dd0cba59ba681bc51fcc5ecf9e5d1d6fce8be35125609c36ea26"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:DUZBDLGR562S2BZ5VFCSCW4NSZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Zero-Cost Proxies for Lightweight NAS","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.NE"],"primary_cat":"cs.LG","authors_text":"Abhinav Mehrotra, {\\L}ukasz Dudziak, Mohamed S. Abdelfattah, Nicholas D. Lane","submitted_at":"2021-01-20T13:59:52Z","abstract_excerpt":"Neural Architecture Search (NAS) is quickly becoming the standard methodology to design neural network models. However, NAS is typically compute-intensive because multiple models need to be evaluated before choosing the best one. To reduce the computational power and time needed, a proxy task is often used for evaluating each model instead of full training. In this paper, we evaluate conventional reduced-training proxies and quantify how well they preserve ranking between multiple models during search when compared with the rankings produced by final trained accuracy. We propose a series of ze"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.08134","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/2101.08134/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":"2026-07-05T02:24:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nUweay60XJi4XkeGCDqkDTxrGky6daUuWlBAivuR2UezVD0jVbVu58Bs7vhym+1LVWqSbBVvUJiM21IAr8+8Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:12:15.819400Z"},"content_sha256":"fefcf27416edcf9c4cc0ca0a6c028143288a2462df483f37982315bb152d18a1","schema_version":"1.0","event_id":"sha256:fefcf27416edcf9c4cc0ca0a6c028143288a2462df483f37982315bb152d18a1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DUZBDLGR562S2BZ5VFCSCW4NSZ/bundle.json","state_url":"https://pith.science/pith/DUZBDLGR562S2BZ5VFCSCW4NSZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DUZBDLGR562S2BZ5VFCSCW4NSZ/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":"2026-08-07T12:12:15Z","links":{"resolver":"https://pith.science/pith/DUZBDLGR562S2BZ5VFCSCW4NSZ","bundle":"https://pith.science/pith/DUZBDLGR562S2BZ5VFCSCW4NSZ/bundle.json","state":"https://pith.science/pith/DUZBDLGR562S2BZ5VFCSCW4NSZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DUZBDLGR562S2BZ5VFCSCW4NSZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:DUZBDLGR562S2BZ5VFCSCW4NSZ","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":"1c5aec9c3b8c4dfc408543995506b07b629e117d9bb98e7e4094808e10bc8896","cross_cats_sorted":["cs.AI","cs.NE"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-01-20T13:59:52Z","title_canon_sha256":"e209af5bf873b14fac65bb4fd16d4f1c0be8716ba97814afb5927c4fb05a108e"},"schema_version":"1.0","source":{"id":"2101.08134","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.08134","created_at":"2026-07-05T02:24:39Z"},{"alias_kind":"arxiv_version","alias_value":"2101.08134v2","created_at":"2026-07-05T02:24:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.08134","created_at":"2026-07-05T02:24:39Z"},{"alias_kind":"pith_short_12","alias_value":"DUZBDLGR562S","created_at":"2026-07-05T02:24:39Z"},{"alias_kind":"pith_short_16","alias_value":"DUZBDLGR562S2BZ5","created_at":"2026-07-05T02:24:39Z"},{"alias_kind":"pith_short_8","alias_value":"DUZBDLGR","created_at":"2026-07-05T02:24:39Z"}],"graph_snapshots":[{"event_id":"sha256:fefcf27416edcf9c4cc0ca0a6c028143288a2462df483f37982315bb152d18a1","target":"graph","created_at":"2026-07-05T02:24:39Z","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/2101.08134/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural Architecture Search (NAS) is quickly becoming the standard methodology to design neural network models. However, NAS is typically compute-intensive because multiple models need to be evaluated before choosing the best one. To reduce the computational power and time needed, a proxy task is often used for evaluating each model instead of full training. In this paper, we evaluate conventional reduced-training proxies and quantify how well they preserve ranking between multiple models during search when compared with the rankings produced by final trained accuracy. We propose a series of ze","authors_text":"Abhinav Mehrotra, {\\L}ukasz Dudziak, Mohamed S. Abdelfattah, Nicholas D. Lane","cross_cats":["cs.AI","cs.NE"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-01-20T13:59:52Z","title":"Zero-Cost Proxies for Lightweight NAS"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.08134","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:b0d2bb0997b8dd0cba59ba681bc51fcc5ecf9e5d1d6fce8be35125609c36ea26","target":"record","created_at":"2026-07-05T02:24:39Z","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":"1c5aec9c3b8c4dfc408543995506b07b629e117d9bb98e7e4094808e10bc8896","cross_cats_sorted":["cs.AI","cs.NE"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-01-20T13:59:52Z","title_canon_sha256":"e209af5bf873b14fac65bb4fd16d4f1c0be8716ba97814afb5927c4fb05a108e"},"schema_version":"1.0","source":{"id":"2101.08134","kind":"arxiv","version":2}},"canonical_sha256":"1d3211acd1efb52d073da945215b8d96663193d5918e93ce8fc2113859bf0d0e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1d3211acd1efb52d073da945215b8d96663193d5918e93ce8fc2113859bf0d0e","first_computed_at":"2026-07-05T02:24:39.816328Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:24:39.816328Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3gl04Sy/V3xBl2P6D8gM2HexNjIENvQdVVtgiPg7Q0eUQqK72rqNVMlNQ9x/gukd12FRJS9zQhe+bIM+tSjOCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:24:39.816934Z","signed_message":"canonical_sha256_bytes"},"source_id":"2101.08134","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b0d2bb0997b8dd0cba59ba681bc51fcc5ecf9e5d1d6fce8be35125609c36ea26","sha256:fefcf27416edcf9c4cc0ca0a6c028143288a2462df483f37982315bb152d18a1"],"state_sha256":"0aad620b01500042e52003b456f20708824eb795802986f53b7f6095f1c25737"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P6Z/oXNIK3jzMWsk6Cl5zCA5csiHa7GXvTUSAppr3krs/rdO3cy3mlseYL8Fv8EAtvJGk8fSG0cv9+deEXXrCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T12:12:15.825093Z","bundle_sha256":"a0121e793535691359ec6f5360085894369b7d85c092af11f29bdd1ed2d71c13"}}