{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MTDDT7RZZZSNFR42RLMH64RFHQ","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":"f150da0a9290ea4871576b2051f88fb6c86ce89a4d2618cce2df05f38dc4ecbc","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-01-06T14:23:02Z","title_canon_sha256":"af938ed86069c410f0f03a2bf798a8e7f3859600af5b65f08a6a095b76101f59"},"schema_version":"1.0","source":{"id":"2501.03035","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.03035","created_at":"2026-07-05T10:18:47Z"},{"alias_kind":"arxiv_version","alias_value":"2501.03035v4","created_at":"2026-07-05T10:18:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.03035","created_at":"2026-07-05T10:18:47Z"},{"alias_kind":"pith_short_12","alias_value":"MTDDT7RZZZSN","created_at":"2026-07-05T10:18:47Z"},{"alias_kind":"pith_short_16","alias_value":"MTDDT7RZZZSNFR42","created_at":"2026-07-05T10:18:47Z"},{"alias_kind":"pith_short_8","alias_value":"MTDDT7RZ","created_at":"2026-07-05T10:18:47Z"}],"graph_snapshots":[{"event_id":"sha256:52325905da0bb885e4d2795d843489b9764ac5be34801d7d3c647a97be1b90cb","target":"graph","created_at":"2026-07-05T10:18:47Z","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/2501.03035/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models have achieved significant advancements in complex mathematical reasoning benchmarks, such as MATH. However, their substantial computational requirements present challenges for practical deployment. Model quantization has emerged as an effective strategy to reduce memory usage and computational costs by employing lower precision and bit-width representations. In this study, we systematically evaluate the impact of quantization on mathematical reasoning tasks. Our results demonstrate that aggressive quantization methods like AWQ and GPTQ introduce up to 32.39% accuracy degr","authors_text":"Congkai Xie, Hongxia Yang, Ngai Wong, Runming Yang, Yupeng Su, Zheng Wang, Zhen Li, Zhongwei Xie","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-01-06T14:23:02Z","title":"Quantization Meets Reasoning: Exploring LLM Low-Bit Quantization Degradation for Mathematical Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.03035","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:ca10fa1f7ea6640d35ddc344156d083483e10295cc2c106a4087492eb9a970a0","target":"record","created_at":"2026-07-05T10:18:47Z","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":"f150da0a9290ea4871576b2051f88fb6c86ce89a4d2618cce2df05f38dc4ecbc","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-01-06T14:23:02Z","title_canon_sha256":"af938ed86069c410f0f03a2bf798a8e7f3859600af5b65f08a6a095b76101f59"},"schema_version":"1.0","source":{"id":"2501.03035","kind":"arxiv","version":4}},"canonical_sha256":"64c639fe39ce64d2c79a8ad87f72253c0287309588b0bf07b4474194e38c5d24","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"64c639fe39ce64d2c79a8ad87f72253c0287309588b0bf07b4474194e38c5d24","first_computed_at":"2026-07-05T10:18:47.929904Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:18:47.929904Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0zQo+BPXcEGcW9r+TUkfIpdK/AgUlyFN+vRsbjHtD/UfXbvyG3yTg5fx1B5toKGnsZ72/jUXJxEDoT6Qdy7jCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:18:47.930412Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.03035","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ca10fa1f7ea6640d35ddc344156d083483e10295cc2c106a4087492eb9a970a0","sha256:52325905da0bb885e4d2795d843489b9764ac5be34801d7d3c647a97be1b90cb"],"state_sha256":"46ba803700ad9f021e936adb3716c3b19b6ed9c5da68e368cc3c0892c939bb74"}