{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TMLUSJ22JSP6FZVSYPE745CMNL","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":"26838b59e4781e01f784095502bbb5460820f244b0f833ec3c662edc9a1de725","cross_cats_sorted":["cs.AR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-13T16:30:35Z","title_canon_sha256":"9308e3e2c32f72aa89704f391c797f2423c2dff645cfcb8cdde591707c07eca0"},"schema_version":"1.0","source":{"id":"2412.10261","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.10261","created_at":"2026-07-05T09:49:47Z"},{"alias_kind":"arxiv_version","alias_value":"2412.10261v2","created_at":"2026-07-05T09:49:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.10261","created_at":"2026-07-05T09:49:47Z"},{"alias_kind":"pith_short_12","alias_value":"TMLUSJ22JSP6","created_at":"2026-07-05T09:49:47Z"},{"alias_kind":"pith_short_16","alias_value":"TMLUSJ22JSP6FZVS","created_at":"2026-07-05T09:49:47Z"},{"alias_kind":"pith_short_8","alias_value":"TMLUSJ22","created_at":"2026-07-05T09:49:47Z"}],"graph_snapshots":[{"event_id":"sha256:27315cf2101ccb031972ef448b57755353f8412c904197a14d85d80fd89e7a8e","target":"graph","created_at":"2026-07-05T09:49:47Z","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/2412.10261/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vector quantization(VQ) is a hardware-friendly DNN compression method that can reduce the storage cost and weight-loading datawidth of hardware accelerators. However, conventional VQ techniques lead to significant accuracy loss because the important weights are not well preserved. To tackle this problem, a novel approach called MVQ is proposed, which aims at better approximating important weights with a limited number of codewords. At the algorithm level, our approach removes the less important weights through N:M pruning and then minimizes the vector clustering error between the remaining wei","authors_text":"Chengxuan Wang, Haibin Shen, Juncan Deng, Kejie Huang, Shuaiting Li, Zewen Ye, Zeyu Wang, Zongsheng Wang","cross_cats":["cs.AR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-13T16:30:35Z","title":"MVQ:Towards Efficient DNN Compression and Acceleration with Masked Vector Quantization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.10261","kind":"arxiv","version":2},"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":"sha256:7f59bcc32712016de388dca9f42504e1d5f6dfc9fdf38f513d6dc4865e7628cb","target":"record","created_at":"2026-07-05T09:49:47Z","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":"26838b59e4781e01f784095502bbb5460820f244b0f833ec3c662edc9a1de725","cross_cats_sorted":["cs.AR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-13T16:30:35Z","title_canon_sha256":"9308e3e2c32f72aa89704f391c797f2423c2dff645cfcb8cdde591707c07eca0"},"schema_version":"1.0","source":{"id":"2412.10261","kind":"arxiv","version":2}},"canonical_sha256":"9b1749275a4c9fe2e6b2c3c9fe744c6ac4fb94b3b05d2440834a759e329b1901","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9b1749275a4c9fe2e6b2c3c9fe744c6ac4fb94b3b05d2440834a759e329b1901","first_computed_at":"2026-07-05T09:49:47.664410Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:49:47.664410Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3a4IUrkd5itBG/rCEAcMtWETpCC9yJfBZSiVogSG69rc0JcptqlyKriJ4X/2xCQx6jZzfq5f4Pyj9e2hUCb3DA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:49:47.664906Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.10261","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7f59bcc32712016de388dca9f42504e1d5f6dfc9fdf38f513d6dc4865e7628cb","sha256:27315cf2101ccb031972ef448b57755353f8412c904197a14d85d80fd89e7a8e"],"state_sha256":"65ac816b3bbaddde9e9d7ab80d84dfb23745b4b7391aa95d2de489d2a30be2a3"}