{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:TW6BODNK4IJQRPWMBKRRTVGXFP","short_pith_number":"pith:TW6BODNK","canonical_record":{"source":{"id":"1806.02639","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2018-06-07T12:25:05Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"272915be17e6e95b871044d0b81e4dbf9eff2dc7abf9dda5b3eda68165602a5d","abstract_canon_sha256":"2a67ab9707f789cf319c279c1d90d0b635892e9647afebec8037968efee9e397"},"schema_version":"1.0"},"canonical_sha256":"9dbc170daae21308becc0aa319d4d72bfec49f87befea46a81ccc66061976764","source":{"kind":"arxiv","id":"1806.02639","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.02639","created_at":"2026-05-18T00:13:56Z"},{"alias_kind":"arxiv_version","alias_value":"1806.02639v1","created_at":"2026-05-18T00:13:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.02639","created_at":"2026-05-18T00:13:56Z"},{"alias_kind":"pith_short_12","alias_value":"TW6BODNK4IJQ","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"TW6BODNK4IJQRPWM","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"TW6BODNK","created_at":"2026-05-18T12:32:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:TW6BODNK4IJQRPWMBKRRTVGXFP","target":"record","payload":{"canonical_record":{"source":{"id":"1806.02639","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2018-06-07T12:25:05Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"272915be17e6e95b871044d0b81e4dbf9eff2dc7abf9dda5b3eda68165602a5d","abstract_canon_sha256":"2a67ab9707f789cf319c279c1d90d0b635892e9647afebec8037968efee9e397"},"schema_version":"1.0"},"canonical_sha256":"9dbc170daae21308becc0aa319d4d72bfec49f87befea46a81ccc66061976764","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:13:56.162734Z","signature_b64":"Z0vqrksHe+u1XdC0qN5hlqRT8ZodzGI9j+THB/29Ds6uJf7QUCf+915rZ9TvFugH3uNHO3SAgJ2Mw1OYsrfODw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9dbc170daae21308becc0aa319d4d72bfec49f87befea46a81ccc66061976764","last_reissued_at":"2026-05-18T00:13:56.161990Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:13:56.161990Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1806.02639","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":"2026-05-18T00:13:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gTs5XuZqSBCh4RTXLDDok49V4gNS4gtRi5hA3wN7MLMlUZPQBJSuus0T+HNtFBXTZFADtgAvmv4DQA9Ryr9pAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T00:21:01.286551Z"},"content_sha256":"ed95c955df7511d83c08ad24f2234305bb733b2b65fe9cdb5a794c3c3336b963","schema_version":"1.0","event_id":"sha256:ed95c955df7511d83c08ad24f2234305bb733b2b65fe9cdb5a794c3c3336b963"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:TW6BODNK4IJQRPWMBKRRTVGXFP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Path-Level Network Transformation for Efficient Architecture Search","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","stat.ML"],"primary_cat":"cs.LG","authors_text":"Han Cai, Jiacheng Yang, Song Han, Weinan Zhang, Yong Yu","submitted_at":"2018-06-07T12:25:05Z","abstract_excerpt":"We introduce a new function-preserving transformation for efficient neural architecture search. This network transformation allows reusing previously trained networks and existing successful architectures that improves sample efficiency. We aim to address the limitation of current network transformation operations that can only perform layer-level architecture modifications, such as adding (pruning) filters or inserting (removing) a layer, which fails to change the topology of connection paths. Our proposed path-level transformation operations enable the meta-controller to modify the path topo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.02639","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":"2026-05-18T00:13:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"661ycsKHHagVKXUpvxmx3blzv8fcqkGiCoCby9q/TYvrnvI7xBH89TZUJVSZ4ftjjiaLKoWY3LX3lQV6hzwGAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T00:21:01.287204Z"},"content_sha256":"d14947928a6f4e6cbdd9f1565688daa2ed625526f14b4795724495b98e564211","schema_version":"1.0","event_id":"sha256:d14947928a6f4e6cbdd9f1565688daa2ed625526f14b4795724495b98e564211"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TW6BODNK4IJQRPWMBKRRTVGXFP/bundle.json","state_url":"https://pith.science/pith/TW6BODNK4IJQRPWMBKRRTVGXFP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TW6BODNK4IJQRPWMBKRRTVGXFP/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":"2026-05-26T00:21:01Z","links":{"resolver":"https://pith.science/pith/TW6BODNK4IJQRPWMBKRRTVGXFP","bundle":"https://pith.science/pith/TW6BODNK4IJQRPWMBKRRTVGXFP/bundle.json","state":"https://pith.science/pith/TW6BODNK4IJQRPWMBKRRTVGXFP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TW6BODNK4IJQRPWMBKRRTVGXFP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:TW6BODNK4IJQRPWMBKRRTVGXFP","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":"2a67ab9707f789cf319c279c1d90d0b635892e9647afebec8037968efee9e397","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2018-06-07T12:25:05Z","title_canon_sha256":"272915be17e6e95b871044d0b81e4dbf9eff2dc7abf9dda5b3eda68165602a5d"},"schema_version":"1.0","source":{"id":"1806.02639","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.02639","created_at":"2026-05-18T00:13:56Z"},{"alias_kind":"arxiv_version","alias_value":"1806.02639v1","created_at":"2026-05-18T00:13:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.02639","created_at":"2026-05-18T00:13:56Z"},{"alias_kind":"pith_short_12","alias_value":"TW6BODNK4IJQ","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"TW6BODNK4IJQRPWM","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"TW6BODNK","created_at":"2026-05-18T12:32:56Z"}],"graph_snapshots":[{"event_id":"sha256:d14947928a6f4e6cbdd9f1565688daa2ed625526f14b4795724495b98e564211","target":"graph","created_at":"2026-05-18T00:13:56Z","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":"We introduce a new function-preserving transformation for efficient neural architecture search. This network transformation allows reusing previously trained networks and existing successful architectures that improves sample efficiency. We aim to address the limitation of current network transformation operations that can only perform layer-level architecture modifications, such as adding (pruning) filters or inserting (removing) a layer, which fails to change the topology of connection paths. Our proposed path-level transformation operations enable the meta-controller to modify the path topo","authors_text":"Han Cai, Jiacheng Yang, Song Han, Weinan Zhang, Yong Yu","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2018-06-07T12:25:05Z","title":"Path-Level Network Transformation for Efficient Architecture Search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.02639","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:ed95c955df7511d83c08ad24f2234305bb733b2b65fe9cdb5a794c3c3336b963","target":"record","created_at":"2026-05-18T00:13:56Z","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":"2a67ab9707f789cf319c279c1d90d0b635892e9647afebec8037968efee9e397","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2018-06-07T12:25:05Z","title_canon_sha256":"272915be17e6e95b871044d0b81e4dbf9eff2dc7abf9dda5b3eda68165602a5d"},"schema_version":"1.0","source":{"id":"1806.02639","kind":"arxiv","version":1}},"canonical_sha256":"9dbc170daae21308becc0aa319d4d72bfec49f87befea46a81ccc66061976764","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9dbc170daae21308becc0aa319d4d72bfec49f87befea46a81ccc66061976764","first_computed_at":"2026-05-18T00:13:56.161990Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:13:56.161990Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z0vqrksHe+u1XdC0qN5hlqRT8ZodzGI9j+THB/29Ds6uJf7QUCf+915rZ9TvFugH3uNHO3SAgJ2Mw1OYsrfODw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:13:56.162734Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.02639","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ed95c955df7511d83c08ad24f2234305bb733b2b65fe9cdb5a794c3c3336b963","sha256:d14947928a6f4e6cbdd9f1565688daa2ed625526f14b4795724495b98e564211"],"state_sha256":"056a4ce4948e22b66883c9b9ec5182dfb542fe9c79fabd3e52a30f9424abbf32"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rxg1v6/9k6r4RBo5DHL3U4aYOu/rINDtEHqF1mSnVk+Ixw96KbHkz5Bn8WtqlNGj2DEmrp2vIOYhNJ4cKP20Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T00:21:01.290807Z","bundle_sha256":"cddd8b20ce8f3ff227fc9394db896bf3e0c811f6af49516a3ab6bc5af0411892"}}