{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:S5S2HYF4BIKGDRHS5OZYHJO6OD","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":"bbb3907bfffec761ded8f8c2a07cddada8fbd7ab0db1e928b392659e2fb1c746","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-03-16T03:23:50Z","title_canon_sha256":"dfed15f4dda0545db750089626b0af26e96c57935afe76a3e74564b7abfec90e"},"schema_version":"1.0","source":{"id":"2203.08368","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.08368","created_at":"2026-07-05T05:47:57Z"},{"alias_kind":"arxiv_version","alias_value":"2203.08368v5","created_at":"2026-07-05T05:47:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.08368","created_at":"2026-07-05T05:47:57Z"},{"alias_kind":"pith_short_12","alias_value":"S5S2HYF4BIKG","created_at":"2026-07-05T05:47:57Z"},{"alias_kind":"pith_short_16","alias_value":"S5S2HYF4BIKGDRHS","created_at":"2026-07-05T05:47:57Z"},{"alias_kind":"pith_short_8","alias_value":"S5S2HYF4","created_at":"2026-07-05T05:47:57Z"}],"graph_snapshots":[{"event_id":"sha256:209ce5fb259edcb0d116dfb33e66d0f05f7338adccfa48901ce599475dc01c86","target":"graph","created_at":"2026-07-05T05:47:57Z","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/2203.08368/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The exponentially large discrete search space in mixed-precision quantization (MPQ) makes it hard to determine the optimal bit-width for each layer. Previous works usually resort to iterative search methods on the training set, which consume hundreds or even thousands of GPU-hours. In this study, we reveal that some unique learnable parameters in quantization, namely the scale factors in the quantizer, can serve as importance indicators of a layer, reflecting the contribution of that layer to the final accuracy at certain bit-widths. These importance indicators naturally perceive the numerical","authors_text":"Chen Tang, Kai Ouyang, Wen Ji, Wenwu Zhu, Yaowei Wang, Yifei Zhu, Zhi Wang","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-03-16T03:23:50Z","title":"Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.08368","kind":"arxiv","version":5},"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:af31a11778b40bc97d3f2feae438c2c8cba177ec7ea6587ad4f2cae6b1bdf7bf","target":"record","created_at":"2026-07-05T05:47:57Z","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":"bbb3907bfffec761ded8f8c2a07cddada8fbd7ab0db1e928b392659e2fb1c746","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-03-16T03:23:50Z","title_canon_sha256":"dfed15f4dda0545db750089626b0af26e96c57935afe76a3e74564b7abfec90e"},"schema_version":"1.0","source":{"id":"2203.08368","kind":"arxiv","version":5}},"canonical_sha256":"9765a3e0bc0a1461c4f2ebb383a5de70ecda812356ec90d235957e048dd79a3d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9765a3e0bc0a1461c4f2ebb383a5de70ecda812356ec90d235957e048dd79a3d","first_computed_at":"2026-07-05T05:47:57.991041Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:47:57.991041Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0R5yTIlWb/al5rvtuks31yQW6YRZ1bguAgUNGRxaRwRtMeR25+sqLPE+/c0pHjOeEZyvFmD7qpwf12TqS9p/CA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:47:57.991577Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.08368","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:af31a11778b40bc97d3f2feae438c2c8cba177ec7ea6587ad4f2cae6b1bdf7bf","sha256:209ce5fb259edcb0d116dfb33e66d0f05f7338adccfa48901ce599475dc01c86"],"state_sha256":"4ad496d840a783a514fe54dd65cbd5a37fc53e14d649d2544dee19dc80abfc1e"}