{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:MXCQF6RZ6QQULON6IJ3LT2IMTP","short_pith_number":"pith:MXCQF6RZ","schema_version":"1.0","canonical_sha256":"65c502fa39f42145b9be4276b9e90c9bf10423fd967dd58bce324c30aac122b4","source":{"kind":"arxiv","id":"1906.09607","version":3},"attestation_state":"computed","paper":{"title":"Densely Connected Search Space for More Flexible Neural Architecture Search","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiemin Fang, Qian Zhang, Wenyu Liu, Xinggang Wang, Yuan Li, Yuzhu Sun","submitted_at":"2019-06-23T16:49:40Z","abstract_excerpt":"Neural architecture search (NAS) has dramatically advanced the development of neural network design. We revisit the search space design in most previous NAS methods and find the number and widths of blocks are set manually. However, block counts and block widths determine the network scale (depth and width) and make a great influence on both the accuracy and the model cost (FLOPs/latency). In this paper, we propose to search block counts and block widths by designing a densely connected search space, i.e., DenseNAS. The new search space is represented as a dense super network, which is built u"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1906.09607","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-23T16:49:40Z","cross_cats_sorted":[],"title_canon_sha256":"4d9437ae2d5b84e7bc12a60de0c89bf6d2b0341e9b5d1d8537ffb2f24afd9e8e","abstract_canon_sha256":"f31d5b27158673218ff27e0c2f49ddae7d5245b05fb93caab33d080b3543a1d2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:54:01.780438Z","signature_b64":"z5YDmJfNFZqzZtB6Kj9gUxUXL1D29tMRySkhW1H/yZ+jek4jEcBfB+1iFmhs/mxoVXKYsFiCCs7gJbVwsJhlDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"65c502fa39f42145b9be4276b9e90c9bf10423fd967dd58bce324c30aac122b4","last_reissued_at":"2026-07-05T00:54:01.780022Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:54:01.780022Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Densely Connected Search Space for More Flexible Neural Architecture Search","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiemin Fang, Qian Zhang, Wenyu Liu, Xinggang Wang, Yuan Li, Yuzhu Sun","submitted_at":"2019-06-23T16:49:40Z","abstract_excerpt":"Neural architecture search (NAS) has dramatically advanced the development of neural network design. We revisit the search space design in most previous NAS methods and find the number and widths of blocks are set manually. However, block counts and block widths determine the network scale (depth and width) and make a great influence on both the accuracy and the model cost (FLOPs/latency). In this paper, we propose to search block counts and block widths by designing a densely connected search space, i.e., DenseNAS. The new search space is represented as a dense super network, which is built u"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.09607","kind":"arxiv","version":3},"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/1906.09607/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1906.09607","created_at":"2026-07-05T00:54:01.780079+00:00"},{"alias_kind":"arxiv_version","alias_value":"1906.09607v3","created_at":"2026-07-05T00:54:01.780079+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.09607","created_at":"2026-07-05T00:54:01.780079+00:00"},{"alias_kind":"pith_short_12","alias_value":"MXCQF6RZ6QQU","created_at":"2026-07-05T00:54:01.780079+00:00"},{"alias_kind":"pith_short_16","alias_value":"MXCQF6RZ6QQULON6","created_at":"2026-07-05T00:54:01.780079+00:00"},{"alias_kind":"pith_short_8","alias_value":"MXCQF6RZ","created_at":"2026-07-05T00:54:01.780079+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/MXCQF6RZ6QQULON6IJ3LT2IMTP","json":"https://pith.science/pith/MXCQF6RZ6QQULON6IJ3LT2IMTP.json","graph_json":"https://pith.science/api/pith-number/MXCQF6RZ6QQULON6IJ3LT2IMTP/graph.json","events_json":"https://pith.science/api/pith-number/MXCQF6RZ6QQULON6IJ3LT2IMTP/events.json","paper":"https://pith.science/paper/MXCQF6RZ"},"agent_actions":{"view_html":"https://pith.science/pith/MXCQF6RZ6QQULON6IJ3LT2IMTP","download_json":"https://pith.science/pith/MXCQF6RZ6QQULON6IJ3LT2IMTP.json","view_paper":"https://pith.science/paper/MXCQF6RZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1906.09607&json=true","fetch_graph":"https://pith.science/api/pith-number/MXCQF6RZ6QQULON6IJ3LT2IMTP/graph.json","fetch_events":"https://pith.science/api/pith-number/MXCQF6RZ6QQULON6IJ3LT2IMTP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MXCQF6RZ6QQULON6IJ3LT2IMTP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MXCQF6RZ6QQULON6IJ3LT2IMTP/action/storage_attestation","attest_author":"https://pith.science/pith/MXCQF6RZ6QQULON6IJ3LT2IMTP/action/author_attestation","sign_citation":"https://pith.science/pith/MXCQF6RZ6QQULON6IJ3LT2IMTP/action/citation_signature","submit_replication":"https://pith.science/pith/MXCQF6RZ6QQULON6IJ3LT2IMTP/action/replication_record"}},"created_at":"2026-07-05T00:54:01.780079+00:00","updated_at":"2026-07-05T00:54:01.780079+00:00"}