{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:EXCCOOUCH5LDI7WWPVP3IIWMNH","short_pith_number":"pith:EXCCOOUC","canonical_record":{"source":{"id":"2501.13331","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-23T02:20:08Z","cross_cats_sorted":[],"title_canon_sha256":"683de9122074dd5403cf9729ad4ce38cf9c12c68cc9759e4d5ec0557b4411aa5","abstract_canon_sha256":"5d6bedbfd2ca4d9fda2c26ff166571fb36cf9adc703d65c5a990889e6fec3e55"},"schema_version":"1.0"},"canonical_sha256":"25c4273a823f56347ed67d5fb422cc69f0499722464b8cf0fb85f0a6436a8e30","source":{"kind":"arxiv","id":"2501.13331","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.13331","created_at":"2026-07-05T10:09:51Z"},{"alias_kind":"arxiv_version","alias_value":"2501.13331v2","created_at":"2026-07-05T10:09:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.13331","created_at":"2026-07-05T10:09:51Z"},{"alias_kind":"pith_short_12","alias_value":"EXCCOOUCH5LD","created_at":"2026-07-05T10:09:51Z"},{"alias_kind":"pith_short_16","alias_value":"EXCCOOUCH5LDI7WW","created_at":"2026-07-05T10:09:51Z"},{"alias_kind":"pith_short_8","alias_value":"EXCCOOUC","created_at":"2026-07-05T10:09:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:EXCCOOUCH5LDI7WWPVP3IIWMNH","target":"record","payload":{"canonical_record":{"source":{"id":"2501.13331","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-23T02:20:08Z","cross_cats_sorted":[],"title_canon_sha256":"683de9122074dd5403cf9729ad4ce38cf9c12c68cc9759e4d5ec0557b4411aa5","abstract_canon_sha256":"5d6bedbfd2ca4d9fda2c26ff166571fb36cf9adc703d65c5a990889e6fec3e55"},"schema_version":"1.0"},"canonical_sha256":"25c4273a823f56347ed67d5fb422cc69f0499722464b8cf0fb85f0a6436a8e30","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:09:51.732548Z","signature_b64":"bRDncd4qQ8lRCnhsfHZI1vdeFwS1sJ3bxb7DZP4NJW1SYakxO2ciZ6isVgjjd+xzV5z9Zh0QCCHGQbzS88s7Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"25c4273a823f56347ed67d5fb422cc69f0499722464b8cf0fb85f0a6436a8e30","last_reissued_at":"2026-07-05T10:09:51.732075Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:09:51.732075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.13331","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:09:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"akfz1UJ50L7Db+H/ttIsAHfHHeBzdu6b4vDC6e5TcVwPEGK6/iWShf/d9ZdXaB/HiTp7gZRYzTZeqEgcB4LABQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T05:17:30.111422Z"},"content_sha256":"f95b88c401797c03ee375c30d6ea1123487d428a36aa5f84cca48845cc0551c3","schema_version":"1.0","event_id":"sha256:f95b88c401797c03ee375c30d6ea1123487d428a36aa5f84cca48845cc0551c3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:EXCCOOUCH5LDI7WWPVP3IIWMNH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Qrazor: Reliable and Effortless 4-bit LLM Quantization by Significant Data Razoring","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Dongyoung Lee, Ik Joon Chang, Seungkyu Choi","submitted_at":"2025-01-23T02:20:08Z","abstract_excerpt":"Large-scale language models (LLMs) excel in language processing tasks but face deployment challenges due to high memory and computational demands. While low-bit quantization, such as 4-bit techniques, offers a potential solution, these methods often suffer from significant accuracy loss or require considerable effort for implementation such as reordering, rotation, etc. To address these challenges, we propose QRazor, a simple yet effective quantization scheme that enables 4-bit quantization of weights, activations, and KV cache in transformer-based LLMs. QRazor operates in two stages: first, q"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.13331","kind":"arxiv","version":2},"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/2501.13331/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":"2026-07-05T10:09:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hzqKBVhFpVgJABUxu+BSz5712caJzaxevC+5LkQYdNj1FMun4Qr0Bpc+URLhBZsymipynC2hiAUDzPCGDa0bCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T05:17:30.112351Z"},"content_sha256":"130fd8deb1e7cc6ad130af2b4d609a23538ec56e40a69a951f7636b1aa0d1de2","schema_version":"1.0","event_id":"sha256:130fd8deb1e7cc6ad130af2b4d609a23538ec56e40a69a951f7636b1aa0d1de2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EXCCOOUCH5LDI7WWPVP3IIWMNH/bundle.json","state_url":"https://pith.science/pith/EXCCOOUCH5LDI7WWPVP3IIWMNH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EXCCOOUCH5LDI7WWPVP3IIWMNH/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":"2026-08-11T05:17:30Z","links":{"resolver":"https://pith.science/pith/EXCCOOUCH5LDI7WWPVP3IIWMNH","bundle":"https://pith.science/pith/EXCCOOUCH5LDI7WWPVP3IIWMNH/bundle.json","state":"https://pith.science/pith/EXCCOOUCH5LDI7WWPVP3IIWMNH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EXCCOOUCH5LDI7WWPVP3IIWMNH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:EXCCOOUCH5LDI7WWPVP3IIWMNH","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":"5d6bedbfd2ca4d9fda2c26ff166571fb36cf9adc703d65c5a990889e6fec3e55","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-23T02:20:08Z","title_canon_sha256":"683de9122074dd5403cf9729ad4ce38cf9c12c68cc9759e4d5ec0557b4411aa5"},"schema_version":"1.0","source":{"id":"2501.13331","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.13331","created_at":"2026-07-05T10:09:51Z"},{"alias_kind":"arxiv_version","alias_value":"2501.13331v2","created_at":"2026-07-05T10:09:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.13331","created_at":"2026-07-05T10:09:51Z"},{"alias_kind":"pith_short_12","alias_value":"EXCCOOUCH5LD","created_at":"2026-07-05T10:09:51Z"},{"alias_kind":"pith_short_16","alias_value":"EXCCOOUCH5LDI7WW","created_at":"2026-07-05T10:09:51Z"},{"alias_kind":"pith_short_8","alias_value":"EXCCOOUC","created_at":"2026-07-05T10:09:51Z"}],"graph_snapshots":[{"event_id":"sha256:130fd8deb1e7cc6ad130af2b4d609a23538ec56e40a69a951f7636b1aa0d1de2","target":"graph","created_at":"2026-07-05T10:09:51Z","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/2501.13331/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large-scale language models (LLMs) excel in language processing tasks but face deployment challenges due to high memory and computational demands. While low-bit quantization, such as 4-bit techniques, offers a potential solution, these methods often suffer from significant accuracy loss or require considerable effort for implementation such as reordering, rotation, etc. To address these challenges, we propose QRazor, a simple yet effective quantization scheme that enables 4-bit quantization of weights, activations, and KV cache in transformer-based LLMs. QRazor operates in two stages: first, q","authors_text":"Dongyoung Lee, Ik Joon Chang, Seungkyu Choi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-23T02:20:08Z","title":"Qrazor: Reliable and Effortless 4-bit LLM Quantization by Significant Data Razoring"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.13331","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:f95b88c401797c03ee375c30d6ea1123487d428a36aa5f84cca48845cc0551c3","target":"record","created_at":"2026-07-05T10:09:51Z","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":"5d6bedbfd2ca4d9fda2c26ff166571fb36cf9adc703d65c5a990889e6fec3e55","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-23T02:20:08Z","title_canon_sha256":"683de9122074dd5403cf9729ad4ce38cf9c12c68cc9759e4d5ec0557b4411aa5"},"schema_version":"1.0","source":{"id":"2501.13331","kind":"arxiv","version":2}},"canonical_sha256":"25c4273a823f56347ed67d5fb422cc69f0499722464b8cf0fb85f0a6436a8e30","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"25c4273a823f56347ed67d5fb422cc69f0499722464b8cf0fb85f0a6436a8e30","first_computed_at":"2026-07-05T10:09:51.732075Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:09:51.732075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bRDncd4qQ8lRCnhsfHZI1vdeFwS1sJ3bxb7DZP4NJW1SYakxO2ciZ6isVgjjd+xzV5z9Zh0QCCHGQbzS88s7Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:09:51.732548Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.13331","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f95b88c401797c03ee375c30d6ea1123487d428a36aa5f84cca48845cc0551c3","sha256:130fd8deb1e7cc6ad130af2b4d609a23538ec56e40a69a951f7636b1aa0d1de2"],"state_sha256":"3612091753ea54315caf0c6dba9740afc5de7ea4de2de988580e154464ba19b5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6uKUouL/5OIK+OZiXrgHRQp2JmUXZY9Tdh3OoQRcQe135Y+bzx/R0xoVpJWnSeiORmqqiAc2/Z38NTo9bbdwDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T05:17:30.118915Z","bundle_sha256":"ce3afc9623b6202cf6e8e67fea8e503d8ad785ebf97e14e05acf09fe3834afaf"}}