{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:HTJDICMV3NEZ27ANZ77ICEHLKE","short_pith_number":"pith:HTJDICMV","canonical_record":{"source":{"id":"2607.14181","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-15T14:05:33Z","cross_cats_sorted":["cs.LG","cs.PL"],"title_canon_sha256":"1ef43bcc0def587c69d1b19938dba66ad621f2f96850134c7e3879f67debc497","abstract_canon_sha256":"3c7470f5cba128a46c4181899e2920670d4710932d396d3b251f2632cff67e7a"},"schema_version":"1.0"},"canonical_sha256":"3cd2340995db499d7c0dcffe8110eb5102b9ae22a32c66def54fb971949c14c1","source":{"kind":"arxiv","id":"2607.14181","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.14181","created_at":"2026-07-17T00:20:55Z"},{"alias_kind":"arxiv_version","alias_value":"2607.14181v1","created_at":"2026-07-17T00:20:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.14181","created_at":"2026-07-17T00:20:55Z"},{"alias_kind":"pith_short_12","alias_value":"HTJDICMV3NEZ","created_at":"2026-07-17T00:20:55Z"},{"alias_kind":"pith_short_16","alias_value":"HTJDICMV3NEZ27AN","created_at":"2026-07-17T00:20:55Z"},{"alias_kind":"pith_short_8","alias_value":"HTJDICMV","created_at":"2026-07-17T00:20:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:HTJDICMV3NEZ27ANZ77ICEHLKE","target":"record","payload":{"canonical_record":{"source":{"id":"2607.14181","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-15T14:05:33Z","cross_cats_sorted":["cs.LG","cs.PL"],"title_canon_sha256":"1ef43bcc0def587c69d1b19938dba66ad621f2f96850134c7e3879f67debc497","abstract_canon_sha256":"3c7470f5cba128a46c4181899e2920670d4710932d396d3b251f2632cff67e7a"},"schema_version":"1.0"},"canonical_sha256":"3cd2340995db499d7c0dcffe8110eb5102b9ae22a32c66def54fb971949c14c1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-17T00:20:55.750747Z","signature_b64":"J7gxCD4iEYTJ1HJpg1/8GhFsf0419dj6Z6BIUghWPRl/NwiyVHO6llUW5Mq+KehG9oX4ghWsY/bx3QM8j2oIAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3cd2340995db499d7c0dcffe8110eb5102b9ae22a32c66def54fb971949c14c1","last_reissued_at":"2026-07-17T00:20:55.749857Z","signature_status":"signed_v1","first_computed_at":"2026-07-17T00:20:55.749857Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.14181","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-17T00:20:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Sw1Fy5ISPfogXRScTSuTFXWAiaNd5dKwa4qzf0m1g6Ex674X6Ywm5OpsicNFtVEbiGfY4WnQnqBHhL0WjwfmDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T02:04:50.903139Z"},"content_sha256":"5f306d58d8e373075e2b8de2ef22a910a9f1e09f3eabcf54d300917ef724ceae","schema_version":"1.0","event_id":"sha256:5f306d58d8e373075e2b8de2ef22a910a9f1e09f3eabcf54d300917ef724ceae"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:HTJDICMV3NEZ27ANZ77ICEHLKE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Quantize with Confidence? An Empirical Study of Quantization for Code Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","cs.PL"],"primary_cat":"cs.SE","authors_text":"Antonio Mastropaolo, Md. Zahidul Haque, Saima Afrin","submitted_at":"2026-07-15T14:05:33Z","abstract_excerpt":"The growing adoption of local inference frameworks such as Ollama has made it increasingly common for developers to run large code models on laptops and other resource-constrained hardware. In these settings, post-training quantization is essential for reducing memory footprint and enabling practical deployment, yet its impact on generated code remains insufficiently understood. We empirically evaluate six state-of-the-art quantization methods (GPTQ, AWQ, QuIP#, AQLM, BitsAndBytes, and GGUF) on two representative large code model families, Qwen2.5-Coder and CodeLlama, using the multilingual Mc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.14181","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/2607.14181/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":"2026-07-17T00:20:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LJDBqWY3/GBq0qN+I35hTPzc0lX3D7MRs5lXHLhj8kqEPky7ylxyNOAbL7w6jSYylOqIoIPIGY6NAv/EPUnJBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T02:04:50.903457Z"},"content_sha256":"c716ada30daabeba79a095383eacc1722838392f219a52fa77b7e589debdaa01","schema_version":"1.0","event_id":"sha256:c716ada30daabeba79a095383eacc1722838392f219a52fa77b7e589debdaa01"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HTJDICMV3NEZ27ANZ77ICEHLKE/bundle.json","state_url":"https://pith.science/pith/HTJDICMV3NEZ27ANZ77ICEHLKE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HTJDICMV3NEZ27ANZ77ICEHLKE/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":"2026-08-03T02:04:50Z","links":{"resolver":"https://pith.science/pith/HTJDICMV3NEZ27ANZ77ICEHLKE","bundle":"https://pith.science/pith/HTJDICMV3NEZ27ANZ77ICEHLKE/bundle.json","state":"https://pith.science/pith/HTJDICMV3NEZ27ANZ77ICEHLKE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HTJDICMV3NEZ27ANZ77ICEHLKE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:HTJDICMV3NEZ27ANZ77ICEHLKE","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":"3c7470f5cba128a46c4181899e2920670d4710932d396d3b251f2632cff67e7a","cross_cats_sorted":["cs.LG","cs.PL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-15T14:05:33Z","title_canon_sha256":"1ef43bcc0def587c69d1b19938dba66ad621f2f96850134c7e3879f67debc497"},"schema_version":"1.0","source":{"id":"2607.14181","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.14181","created_at":"2026-07-17T00:20:55Z"},{"alias_kind":"arxiv_version","alias_value":"2607.14181v1","created_at":"2026-07-17T00:20:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.14181","created_at":"2026-07-17T00:20:55Z"},{"alias_kind":"pith_short_12","alias_value":"HTJDICMV3NEZ","created_at":"2026-07-17T00:20:55Z"},{"alias_kind":"pith_short_16","alias_value":"HTJDICMV3NEZ27AN","created_at":"2026-07-17T00:20:55Z"},{"alias_kind":"pith_short_8","alias_value":"HTJDICMV","created_at":"2026-07-17T00:20:55Z"}],"graph_snapshots":[{"event_id":"sha256:c716ada30daabeba79a095383eacc1722838392f219a52fa77b7e589debdaa01","target":"graph","created_at":"2026-07-17T00:20:55Z","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/2607.14181/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The growing adoption of local inference frameworks such as Ollama has made it increasingly common for developers to run large code models on laptops and other resource-constrained hardware. In these settings, post-training quantization is essential for reducing memory footprint and enabling practical deployment, yet its impact on generated code remains insufficiently understood. We empirically evaluate six state-of-the-art quantization methods (GPTQ, AWQ, QuIP#, AQLM, BitsAndBytes, and GGUF) on two representative large code model families, Qwen2.5-Coder and CodeLlama, using the multilingual Mc","authors_text":"Antonio Mastropaolo, Md. Zahidul Haque, Saima Afrin","cross_cats":["cs.LG","cs.PL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-15T14:05:33Z","title":"Quantize with Confidence? An Empirical Study of Quantization for Code Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.14181","kind":"arxiv","version":1},"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":"sha256:5f306d58d8e373075e2b8de2ef22a910a9f1e09f3eabcf54d300917ef724ceae","target":"record","created_at":"2026-07-17T00:20:55Z","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":"3c7470f5cba128a46c4181899e2920670d4710932d396d3b251f2632cff67e7a","cross_cats_sorted":["cs.LG","cs.PL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-15T14:05:33Z","title_canon_sha256":"1ef43bcc0def587c69d1b19938dba66ad621f2f96850134c7e3879f67debc497"},"schema_version":"1.0","source":{"id":"2607.14181","kind":"arxiv","version":1}},"canonical_sha256":"3cd2340995db499d7c0dcffe8110eb5102b9ae22a32c66def54fb971949c14c1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3cd2340995db499d7c0dcffe8110eb5102b9ae22a32c66def54fb971949c14c1","first_computed_at":"2026-07-17T00:20:55.749857Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-17T00:20:55.749857Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"J7gxCD4iEYTJ1HJpg1/8GhFsf0419dj6Z6BIUghWPRl/NwiyVHO6llUW5Mq+KehG9oX4ghWsY/bx3QM8j2oIAA==","signature_status":"signed_v1","signed_at":"2026-07-17T00:20:55.750747Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.14181","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5f306d58d8e373075e2b8de2ef22a910a9f1e09f3eabcf54d300917ef724ceae","sha256:c716ada30daabeba79a095383eacc1722838392f219a52fa77b7e589debdaa01"],"state_sha256":"f3e4b848478225e2e61d3fdb34972fde1fd02b15f65030ba3608659061470977"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qSvAWOIXvt+245v18qq2Zps6xRuxx6FtD0nx7Ihb+QN9a2SGObiCApgdayUhdyTJXGEtWjz48CogAVrVzHghBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T02:04:50.906200Z","bundle_sha256":"fbc61ce5594cdec82d86ee66b7edc75543b942558589be86c1a1de32d0532145"}}