{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:E7MMAUF2FSW3ZEKIZE4AWMA6NZ","short_pith_number":"pith:E7MMAUF2","schema_version":"1.0","canonical_sha256":"27d8c050ba2cadbc9148c9380b301e6e4c7c5534c915f1d071bd177104916c46","source":{"kind":"arxiv","id":"2607.08734","version":1},"attestation_state":"computed","paper":{"title":"The Illusion of Equivalency: Statistical Characterization of Quantization Effects in LLMs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Baha Rababah, Carson K. Leung, Cuneyt Gurcan Akcora","submitted_at":"2026-07-09T17:35:02Z","abstract_excerpt":"Post-training quantization is widely used to deploy large language models in resource-constrained settings, yet its evaluation relies almost exclusively on accuracy and perplexity. We show that these metrics fail to capture behavioral changes induced by quantization. We introduce correctness agreement, a decision-level metric that measures overlap in correct predictions between a base model and its quantized variants, independent of absolute accuracy. Across multiple models and quantization schemes from 8-bit to 2-bit, we find that behavioral divergence emerges under moderate quantization even"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.08734","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-09T17:35:02Z","cross_cats_sorted":[],"title_canon_sha256":"1156477bf2d216c278dc6b37a0da2b3e9d00c0b2725d176fc14f12b7e1e0d881","abstract_canon_sha256":"e1ee7f46177639487235a72b7bbc4f94eecef6a020f843f4fdef8976f04891c9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-10T01:19:58.769968Z","signature_b64":"MEgyaS1IWcsZdGeWI4r6dnLDhSrcE23R8G+6g+f3/vSdjgem+4+CyaNhldcYGXm+jyHxyxlQRtmkJZqkZauXAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"27d8c050ba2cadbc9148c9380b301e6e4c7c5534c915f1d071bd177104916c46","last_reissued_at":"2026-07-10T01:19:58.769550Z","signature_status":"signed_v1","first_computed_at":"2026-07-10T01:19:58.769550Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Illusion of Equivalency: Statistical Characterization of Quantization Effects in LLMs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Baha Rababah, Carson K. Leung, Cuneyt Gurcan Akcora","submitted_at":"2026-07-09T17:35:02Z","abstract_excerpt":"Post-training quantization is widely used to deploy large language models in resource-constrained settings, yet its evaluation relies almost exclusively on accuracy and perplexity. We show that these metrics fail to capture behavioral changes induced by quantization. We introduce correctness agreement, a decision-level metric that measures overlap in correct predictions between a base model and its quantized variants, independent of absolute accuracy. Across multiple models and quantization schemes from 8-bit to 2-bit, we find that behavioral divergence emerges under moderate quantization even"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.08734","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/2607.08734/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.08734","created_at":"2026-07-10T01:19:58.769622+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.08734v1","created_at":"2026-07-10T01:19:58.769622+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.08734","created_at":"2026-07-10T01:19:58.769622+00:00"},{"alias_kind":"pith_short_12","alias_value":"E7MMAUF2FSW3","created_at":"2026-07-10T01:19:58.769622+00:00"},{"alias_kind":"pith_short_16","alias_value":"E7MMAUF2FSW3ZEKI","created_at":"2026-07-10T01:19:58.769622+00:00"},{"alias_kind":"pith_short_8","alias_value":"E7MMAUF2","created_at":"2026-07-10T01:19:58.769622+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/E7MMAUF2FSW3ZEKIZE4AWMA6NZ","json":"https://pith.science/pith/E7MMAUF2FSW3ZEKIZE4AWMA6NZ.json","graph_json":"https://pith.science/api/pith-number/E7MMAUF2FSW3ZEKIZE4AWMA6NZ/graph.json","events_json":"https://pith.science/api/pith-number/E7MMAUF2FSW3ZEKIZE4AWMA6NZ/events.json","paper":"https://pith.science/paper/E7MMAUF2"},"agent_actions":{"view_html":"https://pith.science/pith/E7MMAUF2FSW3ZEKIZE4AWMA6NZ","download_json":"https://pith.science/pith/E7MMAUF2FSW3ZEKIZE4AWMA6NZ.json","view_paper":"https://pith.science/paper/E7MMAUF2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.08734&json=true","fetch_graph":"https://pith.science/api/pith-number/E7MMAUF2FSW3ZEKIZE4AWMA6NZ/graph.json","fetch_events":"https://pith.science/api/pith-number/E7MMAUF2FSW3ZEKIZE4AWMA6NZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/E7MMAUF2FSW3ZEKIZE4AWMA6NZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/E7MMAUF2FSW3ZEKIZE4AWMA6NZ/action/storage_attestation","attest_author":"https://pith.science/pith/E7MMAUF2FSW3ZEKIZE4AWMA6NZ/action/author_attestation","sign_citation":"https://pith.science/pith/E7MMAUF2FSW3ZEKIZE4AWMA6NZ/action/citation_signature","submit_replication":"https://pith.science/pith/E7MMAUF2FSW3ZEKIZE4AWMA6NZ/action/replication_record"}},"created_at":"2026-07-10T01:19:58.769622+00:00","updated_at":"2026-07-10T01:19:58.769622+00:00"}