{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:XBGVYPMA2EVREYONIUN2RBVD2L","short_pith_number":"pith:XBGVYPMA","canonical_record":{"source":{"id":"2404.14047","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-22T10:03:03Z","cross_cats_sorted":[],"title_canon_sha256":"f82afc022f82e460420ada3c39d4e41efd4bc70c66d7047c480cf2fc83ea26c8","abstract_canon_sha256":"8272daa82c45206c8dfe013c3e5279ea46d98f2d3f3f81773e8b77813d672e20"},"schema_version":"1.0"},"canonical_sha256":"b84d5c3d80d12b1261cd451ba886a3d2d5495a7cd44cb3fd0c969dbbc572cd91","source":{"kind":"arxiv","id":"2404.14047","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.14047","created_at":"2026-07-05T09:59:45Z"},{"alias_kind":"arxiv_version","alias_value":"2404.14047v3","created_at":"2026-07-05T09:59:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.14047","created_at":"2026-07-05T09:59:45Z"},{"alias_kind":"pith_short_12","alias_value":"XBGVYPMA2EVR","created_at":"2026-07-05T09:59:45Z"},{"alias_kind":"pith_short_16","alias_value":"XBGVYPMA2EVREYON","created_at":"2026-07-05T09:59:45Z"},{"alias_kind":"pith_short_8","alias_value":"XBGVYPMA","created_at":"2026-07-05T09:59:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:XBGVYPMA2EVREYONIUN2RBVD2L","target":"record","payload":{"canonical_record":{"source":{"id":"2404.14047","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-22T10:03:03Z","cross_cats_sorted":[],"title_canon_sha256":"f82afc022f82e460420ada3c39d4e41efd4bc70c66d7047c480cf2fc83ea26c8","abstract_canon_sha256":"8272daa82c45206c8dfe013c3e5279ea46d98f2d3f3f81773e8b77813d672e20"},"schema_version":"1.0"},"canonical_sha256":"b84d5c3d80d12b1261cd451ba886a3d2d5495a7cd44cb3fd0c969dbbc572cd91","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:59:45.842710Z","signature_b64":"mfBudY5IOuQ6TDyJd6vIr0i71B5b8jA+Ucm5OJCHUBUDYoFA6+0i4g3kCfopXH/Vq+xlYJiO9ace64SHQ8XQAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b84d5c3d80d12b1261cd451ba886a3d2d5495a7cd44cb3fd0c969dbbc572cd91","last_reissued_at":"2026-07-05T09:59:45.842099Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:59:45.842099Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.14047","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:59:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y0VFp7zdIfn/8bLbTPecYX+Z/3dDjSmYLAK7+YGLIjzCo8D6GnAKux0bdpgZCk5gY+POpr3Z10Af9EPlKvMPDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T19:14:44.615077Z"},"content_sha256":"e1142bd229d836c15a36039f5477994f9f2ec71371a8bbdd9e5fa863b0008dfa","schema_version":"1.0","event_id":"sha256:e1142bd229d836c15a36039f5477994f9f2ec71371a8bbdd9e5fa863b0008dfa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:XBGVYPMA2EVREYONIUN2RBVD2L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An empirical study of LLaMA3 quantization: from LLMs to MLLMs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Chengtao Lv, Haotong Qin, Hong Chen, Jie Luo, Michele Magno, Wei Huang, Xianglong Liu, Xiaojuan Qi, Xingyu Zheng, Xudong Ma","submitted_at":"2024-04-22T10:03:03Z","abstract_excerpt":"The LLaMA family, a collection of foundation language models ranging from 7B to 65B parameters, has become one of the most powerful open-source large language models (LLMs) and the popular LLM backbone of multi-modal large language models (MLLMs), widely used in computer vision and natural language understanding tasks. In particular, LLaMA3 models have recently been released and have achieved impressive performance in various domains with super-large scale pre-training on over 15T tokens of data. Given the wide application of low-bit quantization for LLMs in resource-constrained scenarios, we "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.14047","kind":"arxiv","version":3},"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/2404.14047/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":"2026-07-05T09:59:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xci7tpu7sJq6jM+mBYGm26fl8ynyqEblpeANzYUV9WLsFDFt0B5k8hgIm5N7VUAMvaBhIoVTACNBn9JamlhjAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T19:14:44.615627Z"},"content_sha256":"a14a3bb0e11abfdb22fb0019389eb33231ffadffde58cdd70823afa42f45dc66","schema_version":"1.0","event_id":"sha256:a14a3bb0e11abfdb22fb0019389eb33231ffadffde58cdd70823afa42f45dc66"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XBGVYPMA2EVREYONIUN2RBVD2L/bundle.json","state_url":"https://pith.science/pith/XBGVYPMA2EVREYONIUN2RBVD2L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XBGVYPMA2EVREYONIUN2RBVD2L/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":"2026-08-07T19:14:44Z","links":{"resolver":"https://pith.science/pith/XBGVYPMA2EVREYONIUN2RBVD2L","bundle":"https://pith.science/pith/XBGVYPMA2EVREYONIUN2RBVD2L/bundle.json","state":"https://pith.science/pith/XBGVYPMA2EVREYONIUN2RBVD2L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XBGVYPMA2EVREYONIUN2RBVD2L/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XBGVYPMA2EVREYONIUN2RBVD2L","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":"8272daa82c45206c8dfe013c3e5279ea46d98f2d3f3f81773e8b77813d672e20","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-22T10:03:03Z","title_canon_sha256":"f82afc022f82e460420ada3c39d4e41efd4bc70c66d7047c480cf2fc83ea26c8"},"schema_version":"1.0","source":{"id":"2404.14047","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.14047","created_at":"2026-07-05T09:59:45Z"},{"alias_kind":"arxiv_version","alias_value":"2404.14047v3","created_at":"2026-07-05T09:59:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.14047","created_at":"2026-07-05T09:59:45Z"},{"alias_kind":"pith_short_12","alias_value":"XBGVYPMA2EVR","created_at":"2026-07-05T09:59:45Z"},{"alias_kind":"pith_short_16","alias_value":"XBGVYPMA2EVREYON","created_at":"2026-07-05T09:59:45Z"},{"alias_kind":"pith_short_8","alias_value":"XBGVYPMA","created_at":"2026-07-05T09:59:45Z"}],"graph_snapshots":[{"event_id":"sha256:a14a3bb0e11abfdb22fb0019389eb33231ffadffde58cdd70823afa42f45dc66","target":"graph","created_at":"2026-07-05T09:59:45Z","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/2404.14047/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The LLaMA family, a collection of foundation language models ranging from 7B to 65B parameters, has become one of the most powerful open-source large language models (LLMs) and the popular LLM backbone of multi-modal large language models (MLLMs), widely used in computer vision and natural language understanding tasks. In particular, LLaMA3 models have recently been released and have achieved impressive performance in various domains with super-large scale pre-training on over 15T tokens of data. Given the wide application of low-bit quantization for LLMs in resource-constrained scenarios, we ","authors_text":"Chengtao Lv, Haotong Qin, Hong Chen, Jie Luo, Michele Magno, Wei Huang, Xianglong Liu, Xiaojuan Qi, Xingyu Zheng, Xudong Ma","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-22T10:03:03Z","title":"An empirical study of LLaMA3 quantization: from LLMs to MLLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.14047","kind":"arxiv","version":3},"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:e1142bd229d836c15a36039f5477994f9f2ec71371a8bbdd9e5fa863b0008dfa","target":"record","created_at":"2026-07-05T09:59:45Z","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":"8272daa82c45206c8dfe013c3e5279ea46d98f2d3f3f81773e8b77813d672e20","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-22T10:03:03Z","title_canon_sha256":"f82afc022f82e460420ada3c39d4e41efd4bc70c66d7047c480cf2fc83ea26c8"},"schema_version":"1.0","source":{"id":"2404.14047","kind":"arxiv","version":3}},"canonical_sha256":"b84d5c3d80d12b1261cd451ba886a3d2d5495a7cd44cb3fd0c969dbbc572cd91","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b84d5c3d80d12b1261cd451ba886a3d2d5495a7cd44cb3fd0c969dbbc572cd91","first_computed_at":"2026-07-05T09:59:45.842099Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:59:45.842099Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mfBudY5IOuQ6TDyJd6vIr0i71B5b8jA+Ucm5OJCHUBUDYoFA6+0i4g3kCfopXH/Vq+xlYJiO9ace64SHQ8XQAw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:59:45.842710Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.14047","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e1142bd229d836c15a36039f5477994f9f2ec71371a8bbdd9e5fa863b0008dfa","sha256:a14a3bb0e11abfdb22fb0019389eb33231ffadffde58cdd70823afa42f45dc66"],"state_sha256":"a4ef00500b5336808026c315cc8acdb6eed3650ed337af8df4264a23aa827e29"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ybQt4UdBAm4x/x5Qs2c9Be0ea7x9mxCod8grTLTU2QQOG072L8YW2LEFfYv65yo1Ie0H5uO9oHnD/EahJ/EiAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T19:14:44.619582Z","bundle_sha256":"6d0c920370247747ebca725b371f85980b9a1d9f164fa2263e330fc72fefe73c"}}