{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZZVTF6PO7X7OJCN6K6EL2WVV3W","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":"94ff56c3bdd4b8e5a173c0a0e5c3d4076e94a145717b67bb2b861892c6fd72d2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-09T06:04:14Z","title_canon_sha256":"cd2d8ee9f5d1228513706ddd9e1db69e70b09a2803f0748ad4e7eeacecef3eb3"},"schema_version":"1.0","source":{"id":"2507.07145","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.07145","created_at":"2026-07-05T11:34:31Z"},{"alias_kind":"arxiv_version","alias_value":"2507.07145v1","created_at":"2026-07-05T11:34:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.07145","created_at":"2026-07-05T11:34:31Z"},{"alias_kind":"pith_short_12","alias_value":"ZZVTF6PO7X7O","created_at":"2026-07-05T11:34:31Z"},{"alias_kind":"pith_short_16","alias_value":"ZZVTF6PO7X7OJCN6","created_at":"2026-07-05T11:34:31Z"},{"alias_kind":"pith_short_8","alias_value":"ZZVTF6PO","created_at":"2026-07-05T11:34:31Z"}],"graph_snapshots":[{"event_id":"sha256:70c6626cf015f87494814279adaea2d6abd5d7fa8c6e61498a493411e018666d","target":"graph","created_at":"2026-07-05T11:34:31Z","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/2507.07145/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rapid scaling of Large Language Models (LLMs) elevates inference costs and compounds substantial deployment barriers. While quantization to 8 or 4 bits mitigates this, sub-3-bit methods face severe accuracy, scalability, and efficiency degradation. We propose Convolutional Code Quantization (CCQ), an inference-optimized quantization approach compressing LLMs to 2.0-2.75 bits with minimal accuracy loss. Departing from error-prone scalar quantization or slow vector quantization, CCQ integrates a hardware-aware bit-shift encoding and decoding solution with Convolutional Code, Hybrid Encoding,","authors_text":"Dianhai Yu, HaiFeng Wang, Handi Zhang, Haoshuang Wang, Minghao Li, Qingqing Dang, Wenbin Chang, Xunchao Li, Yanjun Ma, Yiqun Liu, Zhaojing Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-09T06:04:14Z","title":"CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.07145","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":"sha256:25403c4cc93319c718dcfb429e4e3ed572b8eb813bad5b05b395965e250a4787","target":"record","created_at":"2026-07-05T11:34:31Z","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":"94ff56c3bdd4b8e5a173c0a0e5c3d4076e94a145717b67bb2b861892c6fd72d2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-09T06:04:14Z","title_canon_sha256":"cd2d8ee9f5d1228513706ddd9e1db69e70b09a2803f0748ad4e7eeacecef3eb3"},"schema_version":"1.0","source":{"id":"2507.07145","kind":"arxiv","version":1}},"canonical_sha256":"ce6b32f9eefdfee489be5788bd5ab5dda6992cdb842b31aedbd5112174ea3072","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ce6b32f9eefdfee489be5788bd5ab5dda6992cdb842b31aedbd5112174ea3072","first_computed_at":"2026-07-05T11:34:31.813724Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:34:31.813724Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mCZYGqK8v85+fPHEaSs8h6emACVJrdpRtKmNzRAmfkS1Y1yG9GiCGpXTuDcsgzs9FiJksyjEKRvpRenPzKfCCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:34:31.814204Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.07145","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:25403c4cc93319c718dcfb429e4e3ed572b8eb813bad5b05b395965e250a4787","sha256:70c6626cf015f87494814279adaea2d6abd5d7fa8c6e61498a493411e018666d"],"state_sha256":"5da130c59c2e84bebde6beb0b532268ad4cc1aca52b60c67551aa170c796d2ee"}