{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:MNNJ2Z7IPKZS3IWUCLIKNWM4R2","short_pith_number":"pith:MNNJ2Z7I","canonical_record":{"source":{"id":"2402.10631","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-16T12:27:15Z","cross_cats_sorted":[],"title_canon_sha256":"b5934fc788053916a125b3279bb3277daafc59449e6885ea162462f23eca8e7c","abstract_canon_sha256":"30ce2e2a80db020d2aca690e0960e256bed4cf00d22c8d8e8fdfe1c295804b31"},"schema_version":"1.0"},"canonical_sha256":"635a9d67e87ab32da2d412d0a6d99c8e8e98e6bbf7f478ca3c513665a542419c","source":{"kind":"arxiv","id":"2402.10631","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.10631","created_at":"2026-07-05T07:45:58Z"},{"alias_kind":"arxiv_version","alias_value":"2402.10631v1","created_at":"2026-07-05T07:45:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.10631","created_at":"2026-07-05T07:45:58Z"},{"alias_kind":"pith_short_12","alias_value":"MNNJ2Z7IPKZS","created_at":"2026-07-05T07:45:58Z"},{"alias_kind":"pith_short_16","alias_value":"MNNJ2Z7IPKZS3IWU","created_at":"2026-07-05T07:45:58Z"},{"alias_kind":"pith_short_8","alias_value":"MNNJ2Z7I","created_at":"2026-07-05T07:45:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:MNNJ2Z7IPKZS3IWUCLIKNWM4R2","target":"record","payload":{"canonical_record":{"source":{"id":"2402.10631","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-16T12:27:15Z","cross_cats_sorted":[],"title_canon_sha256":"b5934fc788053916a125b3279bb3277daafc59449e6885ea162462f23eca8e7c","abstract_canon_sha256":"30ce2e2a80db020d2aca690e0960e256bed4cf00d22c8d8e8fdfe1c295804b31"},"schema_version":"1.0"},"canonical_sha256":"635a9d67e87ab32da2d412d0a6d99c8e8e98e6bbf7f478ca3c513665a542419c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:45:58.801787Z","signature_b64":"1XHJAr8/oGUk4KW7iTAGPSaxKc3ar9w4AIK7GzjUBNjX+iwEhkVoQrjaON9zrL7OlEiyTSVKHUwMPMsf/TnLBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"635a9d67e87ab32da2d412d0a6d99c8e8e98e6bbf7f478ca3c513665a542419c","last_reissued_at":"2026-07-05T07:45:58.801363Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:45:58.801363Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.10631","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:45:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KVlyh5mhZvXhkRyo5kBdJ4mCQfHXu51JmGj3yZyUapKaD1LJ2jKSJYGQ04HNs/ccvY2DvKDi+qZH+d9okPCeCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-28T13:12:47.822323Z"},"content_sha256":"59e8c3cde0d2d7b8388adf3fcaa96614ff3297c0295fb68bb4afaf83874f72e6","schema_version":"1.0","event_id":"sha256:59e8c3cde0d2d7b8388adf3fcaa96614ff3297c0295fb68bb4afaf83874f72e6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:MNNJ2Z7IPKZS3IWUCLIKNWM4R2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Dayou Du, Jiaqi Guo, Ningyi Xu, Shijie Cao, Ting Cao, Xiaowen Chu, Yijia Zhang","submitted_at":"2024-02-16T12:27:15Z","abstract_excerpt":"The upscaling of Large Language Models (LLMs) has yielded impressive advances in natural language processing, yet it also poses significant deployment challenges. Weight quantization has emerged as a widely embraced solution to reduce memory and computational demands. This paper introduces BitDistiller, a framework that synergizes Quantization-Aware Training (QAT) with Knowledge Distillation (KD) to boost the performance of LLMs at ultra-low precisions (sub-4-bit). Specifically, BitDistiller first incorporates a tailored asymmetric quantization and clipping technique to maximally preserve the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.10631","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/2402.10631/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:45:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Asg31HYpp1KhQNpPVAUlYwEnbCx8ilri9TUYdHy68i3vntdSLtzAewAV2IHYZEZMVkburAEjiAGw1FnfBmUkBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-28T13:12:47.822714Z"},"content_sha256":"1eb4236356d2aae88ec0687a3a2a218c836a1df4d94e007ce1424f44f2af30c3","schema_version":"1.0","event_id":"sha256:1eb4236356d2aae88ec0687a3a2a218c836a1df4d94e007ce1424f44f2af30c3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MNNJ2Z7IPKZS3IWUCLIKNWM4R2/bundle.json","state_url":"https://pith.science/pith/MNNJ2Z7IPKZS3IWUCLIKNWM4R2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MNNJ2Z7IPKZS3IWUCLIKNWM4R2/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-28T13:12:47Z","links":{"resolver":"https://pith.science/pith/MNNJ2Z7IPKZS3IWUCLIKNWM4R2","bundle":"https://pith.science/pith/MNNJ2Z7IPKZS3IWUCLIKNWM4R2/bundle.json","state":"https://pith.science/pith/MNNJ2Z7IPKZS3IWUCLIKNWM4R2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MNNJ2Z7IPKZS3IWUCLIKNWM4R2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MNNJ2Z7IPKZS3IWUCLIKNWM4R2","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":"30ce2e2a80db020d2aca690e0960e256bed4cf00d22c8d8e8fdfe1c295804b31","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-16T12:27:15Z","title_canon_sha256":"b5934fc788053916a125b3279bb3277daafc59449e6885ea162462f23eca8e7c"},"schema_version":"1.0","source":{"id":"2402.10631","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.10631","created_at":"2026-07-05T07:45:58Z"},{"alias_kind":"arxiv_version","alias_value":"2402.10631v1","created_at":"2026-07-05T07:45:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.10631","created_at":"2026-07-05T07:45:58Z"},{"alias_kind":"pith_short_12","alias_value":"MNNJ2Z7IPKZS","created_at":"2026-07-05T07:45:58Z"},{"alias_kind":"pith_short_16","alias_value":"MNNJ2Z7IPKZS3IWU","created_at":"2026-07-05T07:45:58Z"},{"alias_kind":"pith_short_8","alias_value":"MNNJ2Z7I","created_at":"2026-07-05T07:45:58Z"}],"graph_snapshots":[{"event_id":"sha256:1eb4236356d2aae88ec0687a3a2a218c836a1df4d94e007ce1424f44f2af30c3","target":"graph","created_at":"2026-07-05T07:45:58Z","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/2402.10631/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The upscaling of Large Language Models (LLMs) has yielded impressive advances in natural language processing, yet it also poses significant deployment challenges. Weight quantization has emerged as a widely embraced solution to reduce memory and computational demands. This paper introduces BitDistiller, a framework that synergizes Quantization-Aware Training (QAT) with Knowledge Distillation (KD) to boost the performance of LLMs at ultra-low precisions (sub-4-bit). Specifically, BitDistiller first incorporates a tailored asymmetric quantization and clipping technique to maximally preserve the ","authors_text":"Dayou Du, Jiaqi Guo, Ningyi Xu, Shijie Cao, Ting Cao, Xiaowen Chu, Yijia Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-16T12:27:15Z","title":"BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.10631","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":"sha256:59e8c3cde0d2d7b8388adf3fcaa96614ff3297c0295fb68bb4afaf83874f72e6","target":"record","created_at":"2026-07-05T07:45:58Z","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":"30ce2e2a80db020d2aca690e0960e256bed4cf00d22c8d8e8fdfe1c295804b31","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-16T12:27:15Z","title_canon_sha256":"b5934fc788053916a125b3279bb3277daafc59449e6885ea162462f23eca8e7c"},"schema_version":"1.0","source":{"id":"2402.10631","kind":"arxiv","version":1}},"canonical_sha256":"635a9d67e87ab32da2d412d0a6d99c8e8e98e6bbf7f478ca3c513665a542419c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"635a9d67e87ab32da2d412d0a6d99c8e8e98e6bbf7f478ca3c513665a542419c","first_computed_at":"2026-07-05T07:45:58.801363Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:45:58.801363Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1XHJAr8/oGUk4KW7iTAGPSaxKc3ar9w4AIK7GzjUBNjX+iwEhkVoQrjaON9zrL7OlEiyTSVKHUwMPMsf/TnLBg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:45:58.801787Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.10631","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:59e8c3cde0d2d7b8388adf3fcaa96614ff3297c0295fb68bb4afaf83874f72e6","sha256:1eb4236356d2aae88ec0687a3a2a218c836a1df4d94e007ce1424f44f2af30c3"],"state_sha256":"e2cbb1c1fe88c1b4bac6334a49bc4f4443826240d2a73975d80e9efa601746b2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ftkcAgWMCxjSbbSWt3RTNwvk7BSS3Ol87rDrEOpIyDZX0WUYeX0wWP8DazreVD2Q6w9N67jJ7wFG2wDLK8t2Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-28T13:12:47.825170Z","bundle_sha256":"5168a081abd0f682f2d39e570736fa01902e318b20130e021c898e9651c4312f"}}