{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:PQM5DNHTSBP5MGFGHQGDXWHEV3","short_pith_number":"pith:PQM5DNHT","canonical_record":{"source":{"id":"2605.20193","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-04-04T04:50:03Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"2c5a98383686e518e56fdf793430a7c17d3fa250bb8847ddada3da0b2cde83b0","abstract_canon_sha256":"bdca4105b91b59fb8c5f6e6f5edcc102a12597d8c0e79bdbc383ad3fbd47ce4a"},"schema_version":"1.0"},"canonical_sha256":"7c19d1b4f3905fd618a63c0c3bd8e4aeeea961eae8878a78d8aad53cc1b60423","source":{"kind":"arxiv","id":"2605.20193","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.20193","created_at":"2026-05-21T00:04:20Z"},{"alias_kind":"arxiv_version","alias_value":"2605.20193v1","created_at":"2026-05-21T00:04:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.20193","created_at":"2026-05-21T00:04:20Z"},{"alias_kind":"pith_short_12","alias_value":"PQM5DNHTSBP5","created_at":"2026-05-21T00:04:20Z"},{"alias_kind":"pith_short_16","alias_value":"PQM5DNHTSBP5MGFG","created_at":"2026-05-21T00:04:20Z"},{"alias_kind":"pith_short_8","alias_value":"PQM5DNHT","created_at":"2026-05-21T00:04:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:PQM5DNHTSBP5MGFGHQGDXWHEV3","target":"record","payload":{"canonical_record":{"source":{"id":"2605.20193","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-04-04T04:50:03Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"2c5a98383686e518e56fdf793430a7c17d3fa250bb8847ddada3da0b2cde83b0","abstract_canon_sha256":"bdca4105b91b59fb8c5f6e6f5edcc102a12597d8c0e79bdbc383ad3fbd47ce4a"},"schema_version":"1.0"},"canonical_sha256":"7c19d1b4f3905fd618a63c0c3bd8e4aeeea961eae8878a78d8aad53cc1b60423","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-21T00:04:20.516260Z","signature_b64":"GGP/yCypzoq9krAkyEuouwb1fED47UCqZg4xe3bhnBcNpqJAPdDlTRh5r/4zHR85LLA9oje5Vd3F3xC6R3LECw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7c19d1b4f3905fd618a63c0c3bd8e4aeeea961eae8878a78d8aad53cc1b60423","last_reissued_at":"2026-05-21T00:04:20.515603Z","signature_status":"signed_v1","first_computed_at":"2026-05-21T00:04:20.515603Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.20193","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":"2026-05-21T00:04:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WN4+4h+iVqNmee6Gc0qRokSfUwFoZe5mlzJ7jmEviakuDd00u/SnZTAGZf8NwdT1yOqaCvRnR9iI7KZwyDTwAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T21:14:45.325667Z"},"content_sha256":"1cb78f2ac925b3c4c1cb17fd88e32e1b0ff26898c446041a382dd1518c4a5030","schema_version":"1.0","event_id":"sha256:1cb78f2ac925b3c4c1cb17fd88e32e1b0ff26898c446041a382dd1518c4a5030"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:PQM5DNHTSBP5MGFGHQGDXWHEV3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Adeyemi Adeseye, Aisvarya Adeseye, Jouni Isoaho","submitted_at":"2026-04-04T04:50:03Z","abstract_excerpt":"Quantized Large Language Models (LLMs) are used more often in qualitative analysis because they run fast and need fewer computing resources. This study examines how different lower bits quantization levels (8-bit, 4-bit, 3-bit, and 2-bit) and quantization types affect the performance of LLaMA-3.1 (8B) on qualitative analysis. The study uses expert and non-expert responses from 82 interview transcripts. Low-bit models often produce higher levels of hallucinations and unstable results, especially when reading non-expert language with unclear terms. To improve performance, we propose a quantizati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.20193","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/2605.20193/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":"2026-05-21T00:04:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lwxg5+x4wgYFgEngrjdSYzSfBX6/ToK9F9KVfWLtjLh8FggSoM+PZNrJufl+4xgGnU+OdgdR9BQ28ejryeDyBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T21:14:45.326405Z"},"content_sha256":"ed4b23a69856a97bd99e1cd43ff76f03c5cde3805c9e18575671e3ee3c183d1c","schema_version":"1.0","event_id":"sha256:ed4b23a69856a97bd99e1cd43ff76f03c5cde3805c9e18575671e3ee3c183d1c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PQM5DNHTSBP5MGFGHQGDXWHEV3/bundle.json","state_url":"https://pith.science/pith/PQM5DNHTSBP5MGFGHQGDXWHEV3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PQM5DNHTSBP5MGFGHQGDXWHEV3/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":"2026-05-26T21:14:45Z","links":{"resolver":"https://pith.science/pith/PQM5DNHTSBP5MGFGHQGDXWHEV3","bundle":"https://pith.science/pith/PQM5DNHTSBP5MGFGHQGDXWHEV3/bundle.json","state":"https://pith.science/pith/PQM5DNHTSBP5MGFGHQGDXWHEV3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PQM5DNHTSBP5MGFGHQGDXWHEV3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PQM5DNHTSBP5MGFGHQGDXWHEV3","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":"bdca4105b91b59fb8c5f6e6f5edcc102a12597d8c0e79bdbc383ad3fbd47ce4a","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-04-04T04:50:03Z","title_canon_sha256":"2c5a98383686e518e56fdf793430a7c17d3fa250bb8847ddada3da0b2cde83b0"},"schema_version":"1.0","source":{"id":"2605.20193","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.20193","created_at":"2026-05-21T00:04:20Z"},{"alias_kind":"arxiv_version","alias_value":"2605.20193v1","created_at":"2026-05-21T00:04:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.20193","created_at":"2026-05-21T00:04:20Z"},{"alias_kind":"pith_short_12","alias_value":"PQM5DNHTSBP5","created_at":"2026-05-21T00:04:20Z"},{"alias_kind":"pith_short_16","alias_value":"PQM5DNHTSBP5MGFG","created_at":"2026-05-21T00:04:20Z"},{"alias_kind":"pith_short_8","alias_value":"PQM5DNHT","created_at":"2026-05-21T00:04:20Z"}],"graph_snapshots":[{"event_id":"sha256:ed4b23a69856a97bd99e1cd43ff76f03c5cde3805c9e18575671e3ee3c183d1c","target":"graph","created_at":"2026-05-21T00:04:20Z","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/2605.20193/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quantized Large Language Models (LLMs) are used more often in qualitative analysis because they run fast and need fewer computing resources. This study examines how different lower bits quantization levels (8-bit, 4-bit, 3-bit, and 2-bit) and quantization types affect the performance of LLaMA-3.1 (8B) on qualitative analysis. The study uses expert and non-expert responses from 82 interview transcripts. Low-bit models often produce higher levels of hallucinations and unstable results, especially when reading non-expert language with unclear terms. To improve performance, we propose a quantizati","authors_text":"Adeyemi Adeseye, Aisvarya Adeseye, Jouni Isoaho","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-04-04T04:50:03Z","title":"Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.20193","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":"sha256:1cb78f2ac925b3c4c1cb17fd88e32e1b0ff26898c446041a382dd1518c4a5030","target":"record","created_at":"2026-05-21T00:04:20Z","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":"bdca4105b91b59fb8c5f6e6f5edcc102a12597d8c0e79bdbc383ad3fbd47ce4a","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-04-04T04:50:03Z","title_canon_sha256":"2c5a98383686e518e56fdf793430a7c17d3fa250bb8847ddada3da0b2cde83b0"},"schema_version":"1.0","source":{"id":"2605.20193","kind":"arxiv","version":1}},"canonical_sha256":"7c19d1b4f3905fd618a63c0c3bd8e4aeeea961eae8878a78d8aad53cc1b60423","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7c19d1b4f3905fd618a63c0c3bd8e4aeeea961eae8878a78d8aad53cc1b60423","first_computed_at":"2026-05-21T00:04:20.515603Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-21T00:04:20.515603Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GGP/yCypzoq9krAkyEuouwb1fED47UCqZg4xe3bhnBcNpqJAPdDlTRh5r/4zHR85LLA9oje5Vd3F3xC6R3LECw==","signature_status":"signed_v1","signed_at":"2026-05-21T00:04:20.516260Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.20193","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1cb78f2ac925b3c4c1cb17fd88e32e1b0ff26898c446041a382dd1518c4a5030","sha256:ed4b23a69856a97bd99e1cd43ff76f03c5cde3805c9e18575671e3ee3c183d1c"],"state_sha256":"4dd014a77f52cfa1319c81f64960b7c19d8d06bb72c1a47c24a18d9b849464d1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3g8xJ4bcyVTzm6oZhpHLbfCvliCJiSXWMmNdp/Jyeb8BYhsYOTBgjD6Q4L8eQ9Gr0qq1E/jrWYS2A1KWciVlDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T21:14:45.329478Z","bundle_sha256":"a1427f6e6a50b0defc299f57fc2b9b99cb52a6c9a510049b549d3af89941d689"}}