{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:RHZRPHRGKDGC6AJPWCY5ZRPAF2","short_pith_number":"pith:RHZRPHRG","schema_version":"1.0","canonical_sha256":"89f3179e2650cc2f012fb0b1dcc5e02ea2261e8b34eaf802b977112063165a3c","source":{"kind":"arxiv","id":"2108.05647","version":3},"attestation_state":"computed","paper":{"title":"Is Differentiable Architecture Search truly a One-Shot Method?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Jonas Geiping, Jovita Lukasik, Margret Keuper, Michael Moeller","submitted_at":"2021-08-12T10:28:02Z","abstract_excerpt":"Differentiable architecture search (DAS) is a widely researched tool for the discovery of novel architectures, due to its promising results for image classification. The main benefit of DAS is the effectiveness achieved through the weight-sharing one-shot paradigm, which allows efficient architecture search. In this work, we investigate DAS in a systematic case study of inverse problems, which allows us to analyze these potential benefits in a controlled manner. We demonstrate that the success of DAS can be extended from image classification to signal reconstruction, in principle. However, our"},"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":"2108.05647","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-08-12T10:28:02Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"dfecbd216b2e0fa82b0958a1bd2328c184147d61fcce7c85f4005e0ccdcd45b1","abstract_canon_sha256":"8bba845bd6bb51a74c9cfcdbc66cc2b525a3ab9e114ece91811ccb2bae670844"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:43:08.186897Z","signature_b64":"gbSpUoBK+cq/cFbGHzO7ztYtFsZIzwQ+F4W5EYSpJaEq/+7qDaOAfSGxO9KAeYYJkSwfZgQYnV9i7oFg9JgZBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"89f3179e2650cc2f012fb0b1dcc5e02ea2261e8b34eaf802b977112063165a3c","last_reissued_at":"2026-07-05T05:43:08.186515Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:43:08.186515Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Is Differentiable Architecture Search truly a One-Shot Method?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Jonas Geiping, Jovita Lukasik, Margret Keuper, Michael Moeller","submitted_at":"2021-08-12T10:28:02Z","abstract_excerpt":"Differentiable architecture search (DAS) is a widely researched tool for the discovery of novel architectures, due to its promising results for image classification. The main benefit of DAS is the effectiveness achieved through the weight-sharing one-shot paradigm, which allows efficient architecture search. In this work, we investigate DAS in a systematic case study of inverse problems, which allows us to analyze these potential benefits in a controlled manner. We demonstrate that the success of DAS can be extended from image classification to signal reconstruction, in principle. However, our"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.05647","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/2108.05647/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":"2108.05647","created_at":"2026-07-05T05:43:08.186565+00:00"},{"alias_kind":"arxiv_version","alias_value":"2108.05647v3","created_at":"2026-07-05T05:43:08.186565+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.05647","created_at":"2026-07-05T05:43:08.186565+00:00"},{"alias_kind":"pith_short_12","alias_value":"RHZRPHRGKDGC","created_at":"2026-07-05T05:43:08.186565+00:00"},{"alias_kind":"pith_short_16","alias_value":"RHZRPHRGKDGC6AJP","created_at":"2026-07-05T05:43:08.186565+00:00"},{"alias_kind":"pith_short_8","alias_value":"RHZRPHRG","created_at":"2026-07-05T05:43:08.186565+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/RHZRPHRGKDGC6AJPWCY5ZRPAF2","json":"https://pith.science/pith/RHZRPHRGKDGC6AJPWCY5ZRPAF2.json","graph_json":"https://pith.science/api/pith-number/RHZRPHRGKDGC6AJPWCY5ZRPAF2/graph.json","events_json":"https://pith.science/api/pith-number/RHZRPHRGKDGC6AJPWCY5ZRPAF2/events.json","paper":"https://pith.science/paper/RHZRPHRG"},"agent_actions":{"view_html":"https://pith.science/pith/RHZRPHRGKDGC6AJPWCY5ZRPAF2","download_json":"https://pith.science/pith/RHZRPHRGKDGC6AJPWCY5ZRPAF2.json","view_paper":"https://pith.science/paper/RHZRPHRG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2108.05647&json=true","fetch_graph":"https://pith.science/api/pith-number/RHZRPHRGKDGC6AJPWCY5ZRPAF2/graph.json","fetch_events":"https://pith.science/api/pith-number/RHZRPHRGKDGC6AJPWCY5ZRPAF2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RHZRPHRGKDGC6AJPWCY5ZRPAF2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RHZRPHRGKDGC6AJPWCY5ZRPAF2/action/storage_attestation","attest_author":"https://pith.science/pith/RHZRPHRGKDGC6AJPWCY5ZRPAF2/action/author_attestation","sign_citation":"https://pith.science/pith/RHZRPHRGKDGC6AJPWCY5ZRPAF2/action/citation_signature","submit_replication":"https://pith.science/pith/RHZRPHRGKDGC6AJPWCY5ZRPAF2/action/replication_record"}},"created_at":"2026-07-05T05:43:08.186565+00:00","updated_at":"2026-07-05T05:43:08.186565+00:00"}