{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:TJDVYDGP6Y44V7N2NJGREJ4AJF","short_pith_number":"pith:TJDVYDGP","canonical_record":{"source":{"id":"2401.06118","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-11T18:54:44Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"a045a3c833b486ccc38552de7f4a853d602ddd24faf592a723b0e4ab1155fa37","abstract_canon_sha256":"3be88b68a69df916863dfd2072f712bd8a74c8c57c75264d32f9ab69a8647cd9"},"schema_version":"1.0"},"canonical_sha256":"9a475c0ccff639cafdba6a4d122780497b9c98ca64b9437ee9dc6fa8d090f5cd","source":{"kind":"arxiv","id":"2401.06118","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.06118","created_at":"2026-07-05T09:05:33Z"},{"alias_kind":"arxiv_version","alias_value":"2401.06118v4","created_at":"2026-07-05T09:05:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.06118","created_at":"2026-07-05T09:05:33Z"},{"alias_kind":"pith_short_12","alias_value":"TJDVYDGP6Y44","created_at":"2026-07-05T09:05:33Z"},{"alias_kind":"pith_short_16","alias_value":"TJDVYDGP6Y44V7N2","created_at":"2026-07-05T09:05:33Z"},{"alias_kind":"pith_short_8","alias_value":"TJDVYDGP","created_at":"2026-07-05T09:05:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:TJDVYDGP6Y44V7N2NJGREJ4AJF","target":"record","payload":{"canonical_record":{"source":{"id":"2401.06118","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-11T18:54:44Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"a045a3c833b486ccc38552de7f4a853d602ddd24faf592a723b0e4ab1155fa37","abstract_canon_sha256":"3be88b68a69df916863dfd2072f712bd8a74c8c57c75264d32f9ab69a8647cd9"},"schema_version":"1.0"},"canonical_sha256":"9a475c0ccff639cafdba6a4d122780497b9c98ca64b9437ee9dc6fa8d090f5cd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:05:33.267013Z","signature_b64":"Iii0ltMU1/7q+WZT6vnd2MVJRLPl47XRJMUzd0oB4tZPIgg8unFVio3hNrcbNxSQNMdlm/uOQk5lryjPsMhxAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9a475c0ccff639cafdba6a4d122780497b9c98ca64b9437ee9dc6fa8d090f5cd","last_reissued_at":"2026-07-05T09:05:33.266505Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:05:33.266505Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.06118","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:05:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N0r1o0pj4Gwcy+nSXwJcd8wHdf4FSA6WOQjU+6Z7+VvqzdBvpYSrTg9lvV6QuFOxhSicaT5BnOEFVayJ0NH2CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T11:49:43.545865Z"},"content_sha256":"6f0e060a2cbcf3c53642cdac075ead84a8d9d4a997810b261a327a83daaeb1ca","schema_version":"1.0","event_id":"sha256:6f0e060a2cbcf3c53642cdac075ead84a8d9d4a997810b261a327a83daaeb1ca"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:TJDVYDGP6Y44V7N2NJGREJ4AJF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Extreme Compression of Large Language Models via Additive Quantization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.LG","authors_text":"Andrei Panferov, Artem Babenko, Dan Alistarh, Denis Kuznedelev, Elias Frantar, Vage Egiazarian","submitted_at":"2024-01-11T18:54:44Z","abstract_excerpt":"The emergence of accurate open large language models (LLMs) has led to a race towards performant quantization techniques which can enable their execution on end-user devices. In this paper, we revisit the problem of \"extreme\" LLM compression-defined as targeting extremely low bit counts, such as 2 to 3 bits per parameter-from the point of view of classic methods in Multi-Codebook Quantization (MCQ). Our algorithm, called AQLM, generalizes the classic Additive Quantization (AQ) approach for information retrieval to advance the state-of-the-art in LLM compression, via two innovations: 1) learned"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.06118","kind":"arxiv","version":4},"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/2401.06118/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":"2026-07-05T09:05:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5SRetXSCfAquv9/D/vp3CKsnqCEilo+P3DWrn0xOnr0foHdlaZ06DhFz47nxw5o2VtLTmpQFU/uEBzP6EuGsDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T11:49:43.546230Z"},"content_sha256":"5068ca58794a04b5855454fc147b4c5bdeabcbc31aa5c3cbfd150b6113f326c7","schema_version":"1.0","event_id":"sha256:5068ca58794a04b5855454fc147b4c5bdeabcbc31aa5c3cbfd150b6113f326c7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TJDVYDGP6Y44V7N2NJGREJ4AJF/bundle.json","state_url":"https://pith.science/pith/TJDVYDGP6Y44V7N2NJGREJ4AJF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TJDVYDGP6Y44V7N2NJGREJ4AJF/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":"2026-07-24T11:49:43Z","links":{"resolver":"https://pith.science/pith/TJDVYDGP6Y44V7N2NJGREJ4AJF","bundle":"https://pith.science/pith/TJDVYDGP6Y44V7N2NJGREJ4AJF/bundle.json","state":"https://pith.science/pith/TJDVYDGP6Y44V7N2NJGREJ4AJF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TJDVYDGP6Y44V7N2NJGREJ4AJF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TJDVYDGP6Y44V7N2NJGREJ4AJF","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":"3be88b68a69df916863dfd2072f712bd8a74c8c57c75264d32f9ab69a8647cd9","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-11T18:54:44Z","title_canon_sha256":"a045a3c833b486ccc38552de7f4a853d602ddd24faf592a723b0e4ab1155fa37"},"schema_version":"1.0","source":{"id":"2401.06118","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.06118","created_at":"2026-07-05T09:05:33Z"},{"alias_kind":"arxiv_version","alias_value":"2401.06118v4","created_at":"2026-07-05T09:05:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.06118","created_at":"2026-07-05T09:05:33Z"},{"alias_kind":"pith_short_12","alias_value":"TJDVYDGP6Y44","created_at":"2026-07-05T09:05:33Z"},{"alias_kind":"pith_short_16","alias_value":"TJDVYDGP6Y44V7N2","created_at":"2026-07-05T09:05:33Z"},{"alias_kind":"pith_short_8","alias_value":"TJDVYDGP","created_at":"2026-07-05T09:05:33Z"}],"graph_snapshots":[{"event_id":"sha256:5068ca58794a04b5855454fc147b4c5bdeabcbc31aa5c3cbfd150b6113f326c7","target":"graph","created_at":"2026-07-05T09:05:33Z","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/2401.06118/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The emergence of accurate open large language models (LLMs) has led to a race towards performant quantization techniques which can enable their execution on end-user devices. In this paper, we revisit the problem of \"extreme\" LLM compression-defined as targeting extremely low bit counts, such as 2 to 3 bits per parameter-from the point of view of classic methods in Multi-Codebook Quantization (MCQ). Our algorithm, called AQLM, generalizes the classic Additive Quantization (AQ) approach for information retrieval to advance the state-of-the-art in LLM compression, via two innovations: 1) learned","authors_text":"Andrei Panferov, Artem Babenko, Dan Alistarh, Denis Kuznedelev, Elias Frantar, Vage Egiazarian","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-11T18:54:44Z","title":"Extreme Compression of Large Language Models via Additive Quantization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.06118","kind":"arxiv","version":4},"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":"sha256:6f0e060a2cbcf3c53642cdac075ead84a8d9d4a997810b261a327a83daaeb1ca","target":"record","created_at":"2026-07-05T09:05:33Z","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":"3be88b68a69df916863dfd2072f712bd8a74c8c57c75264d32f9ab69a8647cd9","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-11T18:54:44Z","title_canon_sha256":"a045a3c833b486ccc38552de7f4a853d602ddd24faf592a723b0e4ab1155fa37"},"schema_version":"1.0","source":{"id":"2401.06118","kind":"arxiv","version":4}},"canonical_sha256":"9a475c0ccff639cafdba6a4d122780497b9c98ca64b9437ee9dc6fa8d090f5cd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9a475c0ccff639cafdba6a4d122780497b9c98ca64b9437ee9dc6fa8d090f5cd","first_computed_at":"2026-07-05T09:05:33.266505Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:05:33.266505Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Iii0ltMU1/7q+WZT6vnd2MVJRLPl47XRJMUzd0oB4tZPIgg8unFVio3hNrcbNxSQNMdlm/uOQk5lryjPsMhxAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:05:33.267013Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.06118","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f0e060a2cbcf3c53642cdac075ead84a8d9d4a997810b261a327a83daaeb1ca","sha256:5068ca58794a04b5855454fc147b4c5bdeabcbc31aa5c3cbfd150b6113f326c7"],"state_sha256":"c44cf52b020cccb1ba86bc4cf2446da9cdf562347c8adc9fc9b22affc927970f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bKSLPhZUZORr02T60D5uCQwSyFg/5IOba+zlWFXXge0+4ibdHRTZWknUqzMO1wU2jcy2VyADdxEdwZfedfF0Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-24T11:49:43.548292Z","bundle_sha256":"566104cf74920abe1e757a8cc2b9110469fed100ae544dad9980461fce037d2a"}}