{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:2XLIIVTOWPJSO45QN3MM3HFMWG","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":"9bcbc75c7969bd756d9bbdd7c8e3a5678308874159e4ed9799cfae4fcf08eded","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-05T16:41:57Z","title_canon_sha256":"9c7321ec20f75323fefb9b2f961cca8d59572efc6c329a204a797c64d6f92ce7"},"schema_version":"1.0","source":{"id":"2108.02720","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.02720","created_at":"2026-07-05T03:03:35Z"},{"alias_kind":"arxiv_version","alias_value":"2108.02720v1","created_at":"2026-07-05T03:03:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.02720","created_at":"2026-07-05T03:03:35Z"},{"alias_kind":"pith_short_12","alias_value":"2XLIIVTOWPJS","created_at":"2026-07-05T03:03:35Z"},{"alias_kind":"pith_short_16","alias_value":"2XLIIVTOWPJSO45Q","created_at":"2026-07-05T03:03:35Z"},{"alias_kind":"pith_short_8","alias_value":"2XLIIVTO","created_at":"2026-07-05T03:03:35Z"}],"graph_snapshots":[{"event_id":"sha256:eccc0a3520ccb6742d9a2e1d93b11c48d614e2816c8f58583e7ddce6092fef74","target":"graph","created_at":"2026-07-05T03:03:35Z","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/2108.02720/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we propose a generalizable mixed-precision quantization (GMPQ) method for efficient inference. Conventional methods require the consistency of datasets for bitwidth search and model deployment to guarantee the policy optimality, leading to heavy search cost on challenging largescale datasets in realistic applications. On the contrary, our GMPQ searches the mixed-quantization policy that can be generalized to largescale datasets with only a small amount of data, so that the search cost is significantly reduced without performance degradation. Specifically, we observe that locatin","authors_text":"Han Xiao, Jie Zhou, Jiwen Lu, Ziwei Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-05T16:41:57Z","title":"Generalizable Mixed-Precision Quantization via Attribution Rank Preservation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.02720","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":"sha256:18abaa4c9dea5b1a619a7d7d73ec9a0a4a9ed46f8532de9d36765404f0d8f437","target":"record","created_at":"2026-07-05T03:03:35Z","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":"9bcbc75c7969bd756d9bbdd7c8e3a5678308874159e4ed9799cfae4fcf08eded","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-05T16:41:57Z","title_canon_sha256":"9c7321ec20f75323fefb9b2f961cca8d59572efc6c329a204a797c64d6f92ce7"},"schema_version":"1.0","source":{"id":"2108.02720","kind":"arxiv","version":1}},"canonical_sha256":"d5d684566eb3d32773b06ed8cd9cacb1aeb967139232e4358163377afc008252","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d5d684566eb3d32773b06ed8cd9cacb1aeb967139232e4358163377afc008252","first_computed_at":"2026-07-05T03:03:35.690370Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:03:35.690370Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2KE8DPCiWNtCLjIj0EBTS8Q64iDsav6BaFec/V1G2K6tLazW5FJEz/6lZzfHUFBBQb7fIuuTOeqszjtNq9QACg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:03:35.690724Z","signed_message":"canonical_sha256_bytes"},"source_id":"2108.02720","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:18abaa4c9dea5b1a619a7d7d73ec9a0a4a9ed46f8532de9d36765404f0d8f437","sha256:eccc0a3520ccb6742d9a2e1d93b11c48d614e2816c8f58583e7ddce6092fef74"],"state_sha256":"d899511aa5a01e24bd852304a1e969e9584854b6acc06058850608268aee8c7e"}