{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:IO3D5YMFCBNSHG3MJF45TQI7OA","short_pith_number":"pith:IO3D5YMF","schema_version":"1.0","canonical_sha256":"43b63ee185105b239b6c4979d9c11f702e87246fbfca172b6d707891cc8c19da","source":{"kind":"arxiv","id":"2105.08952","version":1},"attestation_state":"computed","paper":{"title":"BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Haoping Bai, Jiulong Shan, Meng Cao, Ping Huang","submitted_at":"2021-05-19T06:56:43Z","abstract_excerpt":"As the applications of deep learning models on edge devices increase at an accelerating pace, fast adaptation to various scenarios with varying resource constraints has become a crucial aspect of model deployment. As a result, model optimization strategies with adaptive configuration are becoming increasingly popular. While single-shot quantized neural architecture search enjoys flexibility in both model architecture and quantization policy, the combined search space comes with many challenges, including instability when training the weight-sharing supernet and difficulty in navigating the exp"},"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":"2105.08952","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-05-19T06:56:43Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f6920d656ad573fea8b90f625c7ade303688b0dba364cc3fb4ea8dc3f529c2f1","abstract_canon_sha256":"1164ac7ba2852993c88521934435ba8c7178648083f95eaad30e57cd1c7fecc4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:41:35.694930Z","signature_b64":"ICfziugObLN6lp/x6cSZYpPmG5B+TjbJHmqvdqCCgMEKD7vGAYcWL07younLGYGS/3p2+Zw1ZjNVorAVc+vzBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"43b63ee185105b239b6c4979d9c11f702e87246fbfca172b6d707891cc8c19da","last_reissued_at":"2026-07-05T02:41:35.694483Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:41:35.694483Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Haoping Bai, Jiulong Shan, Meng Cao, Ping Huang","submitted_at":"2021-05-19T06:56:43Z","abstract_excerpt":"As the applications of deep learning models on edge devices increase at an accelerating pace, fast adaptation to various scenarios with varying resource constraints has become a crucial aspect of model deployment. As a result, model optimization strategies with adaptive configuration are becoming increasingly popular. While single-shot quantized neural architecture search enjoys flexibility in both model architecture and quantization policy, the combined search space comes with many challenges, including instability when training the weight-sharing supernet and difficulty in navigating the exp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.08952","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2105.08952/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":"2105.08952","created_at":"2026-07-05T02:41:35.694538+00:00"},{"alias_kind":"arxiv_version","alias_value":"2105.08952v1","created_at":"2026-07-05T02:41:35.694538+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.08952","created_at":"2026-07-05T02:41:35.694538+00:00"},{"alias_kind":"pith_short_12","alias_value":"IO3D5YMFCBNS","created_at":"2026-07-05T02:41:35.694538+00:00"},{"alias_kind":"pith_short_16","alias_value":"IO3D5YMFCBNSHG3M","created_at":"2026-07-05T02:41:35.694538+00:00"},{"alias_kind":"pith_short_8","alias_value":"IO3D5YMF","created_at":"2026-07-05T02:41:35.694538+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/IO3D5YMFCBNSHG3MJF45TQI7OA","json":"https://pith.science/pith/IO3D5YMFCBNSHG3MJF45TQI7OA.json","graph_json":"https://pith.science/api/pith-number/IO3D5YMFCBNSHG3MJF45TQI7OA/graph.json","events_json":"https://pith.science/api/pith-number/IO3D5YMFCBNSHG3MJF45TQI7OA/events.json","paper":"https://pith.science/paper/IO3D5YMF"},"agent_actions":{"view_html":"https://pith.science/pith/IO3D5YMFCBNSHG3MJF45TQI7OA","download_json":"https://pith.science/pith/IO3D5YMFCBNSHG3MJF45TQI7OA.json","view_paper":"https://pith.science/paper/IO3D5YMF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2105.08952&json=true","fetch_graph":"https://pith.science/api/pith-number/IO3D5YMFCBNSHG3MJF45TQI7OA/graph.json","fetch_events":"https://pith.science/api/pith-number/IO3D5YMFCBNSHG3MJF45TQI7OA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IO3D5YMFCBNSHG3MJF45TQI7OA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IO3D5YMFCBNSHG3MJF45TQI7OA/action/storage_attestation","attest_author":"https://pith.science/pith/IO3D5YMFCBNSHG3MJF45TQI7OA/action/author_attestation","sign_citation":"https://pith.science/pith/IO3D5YMFCBNSHG3MJF45TQI7OA/action/citation_signature","submit_replication":"https://pith.science/pith/IO3D5YMFCBNSHG3MJF45TQI7OA/action/replication_record"}},"created_at":"2026-07-05T02:41:35.694538+00:00","updated_at":"2026-07-05T02:41:35.694538+00:00"}