{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:KQWVSTGKUC43XU3ESBVXYWTVTV","short_pith_number":"pith:KQWVSTGK","canonical_record":{"source":{"id":"2308.12060","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-08-23T11:00:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e20f77ca30f2534f5d75caece0f916e683d33785f31fc6cd92ff171b34528731","abstract_canon_sha256":"c8ad576c33720280e9faab3b12051cc3b1953e71f50ce3e4c07ceada92fbb051"},"schema_version":"1.0"},"canonical_sha256":"542d594ccaa0b9bbd364906b7c5a759d753368b38632bd6663d771707937f955","source":{"kind":"arxiv","id":"2308.12060","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.12060","created_at":"2026-07-05T07:37:51Z"},{"alias_kind":"arxiv_version","alias_value":"2308.12060v3","created_at":"2026-07-05T07:37:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.12060","created_at":"2026-07-05T07:37:51Z"},{"alias_kind":"pith_short_12","alias_value":"KQWVSTGKUC43","created_at":"2026-07-05T07:37:51Z"},{"alias_kind":"pith_short_16","alias_value":"KQWVSTGKUC43XU3E","created_at":"2026-07-05T07:37:51Z"},{"alias_kind":"pith_short_8","alias_value":"KQWVSTGK","created_at":"2026-07-05T07:37:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:KQWVSTGKUC43XU3ESBVXYWTVTV","target":"record","payload":{"canonical_record":{"source":{"id":"2308.12060","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-08-23T11:00:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e20f77ca30f2534f5d75caece0f916e683d33785f31fc6cd92ff171b34528731","abstract_canon_sha256":"c8ad576c33720280e9faab3b12051cc3b1953e71f50ce3e4c07ceada92fbb051"},"schema_version":"1.0"},"canonical_sha256":"542d594ccaa0b9bbd364906b7c5a759d753368b38632bd6663d771707937f955","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:37:51.164332Z","signature_b64":"KFQTjMuzJ67Jdf6++wcY69VtEORIM5YcM5FZE75VUFNKkOwOMSl+AbvkKw7i2ob5hFzM+xYMr3iZFL+LYtLcBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"542d594ccaa0b9bbd364906b7c5a759d753368b38632bd6663d771707937f955","last_reissued_at":"2026-07-05T07:37:51.163830Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:37:51.163830Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.12060","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":"2026-07-05T07:37:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mKP9Sn4tB3igfB2syIyaO4HYVLfwwQkoHzd/noGYAPR77wXrp5R5O85U9qkJGZqQ1JvTeoxCgvw10WO72e6cAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:15:48.065646Z"},"content_sha256":"7389fd4226c8888903061a9a6750ad0f6188f9618e9ebfa212a0ab2a987a531a","schema_version":"1.0","event_id":"sha256:7389fd4226c8888903061a9a6750ad0f6188f9618e9ebfa212a0ab2a987a531a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:KQWVSTGKUC43XU3ESBVXYWTVTV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Bowen Dong, Jianyong Wang, Ning Liu, Sunqi Fan, Xiuxing Li, Yu Gu, Zhenyu Li, Zhichao Duan","submitted_at":"2023-08-23T11:00:36Z","abstract_excerpt":"Knowledge base question answering (KBQA) is a critical yet challenging task due to the vast number of entities within knowledge bases and the diversity of natural language questions posed by users. Unfortunately, the performance of most KBQA models tends to decline significantly in real-world scenarios where high-quality annotated data is insufficient. To mitigate the burden associated with manual annotation, we introduce FlexKBQA by utilizing Large Language Models (LLMs) as program translators for addressing the challenges inherent in the few-shot KBQA task. Specifically, FlexKBQA leverages a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.12060","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/2308.12060/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":"2026-07-05T07:37:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v7uTTohI+Oo6DC4Wg/Z734ezEkwFoxf+BNb71u9G0uz6PcoC/BwOtcMLs3EQ7h7s5nWMtErxh0kbvGXY0jedBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:15:48.066122Z"},"content_sha256":"f109ee88f2f356e8a335ac4bdab7df5edc13d59abc93686da82f32d3c8da8e94","schema_version":"1.0","event_id":"sha256:f109ee88f2f356e8a335ac4bdab7df5edc13d59abc93686da82f32d3c8da8e94"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KQWVSTGKUC43XU3ESBVXYWTVTV/bundle.json","state_url":"https://pith.science/pith/KQWVSTGKUC43XU3ESBVXYWTVTV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KQWVSTGKUC43XU3ESBVXYWTVTV/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":"2026-08-05T03:15:48Z","links":{"resolver":"https://pith.science/pith/KQWVSTGKUC43XU3ESBVXYWTVTV","bundle":"https://pith.science/pith/KQWVSTGKUC43XU3ESBVXYWTVTV/bundle.json","state":"https://pith.science/pith/KQWVSTGKUC43XU3ESBVXYWTVTV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KQWVSTGKUC43XU3ESBVXYWTVTV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KQWVSTGKUC43XU3ESBVXYWTVTV","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":"c8ad576c33720280e9faab3b12051cc3b1953e71f50ce3e4c07ceada92fbb051","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-08-23T11:00:36Z","title_canon_sha256":"e20f77ca30f2534f5d75caece0f916e683d33785f31fc6cd92ff171b34528731"},"schema_version":"1.0","source":{"id":"2308.12060","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.12060","created_at":"2026-07-05T07:37:51Z"},{"alias_kind":"arxiv_version","alias_value":"2308.12060v3","created_at":"2026-07-05T07:37:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.12060","created_at":"2026-07-05T07:37:51Z"},{"alias_kind":"pith_short_12","alias_value":"KQWVSTGKUC43","created_at":"2026-07-05T07:37:51Z"},{"alias_kind":"pith_short_16","alias_value":"KQWVSTGKUC43XU3E","created_at":"2026-07-05T07:37:51Z"},{"alias_kind":"pith_short_8","alias_value":"KQWVSTGK","created_at":"2026-07-05T07:37:51Z"}],"graph_snapshots":[{"event_id":"sha256:f109ee88f2f356e8a335ac4bdab7df5edc13d59abc93686da82f32d3c8da8e94","target":"graph","created_at":"2026-07-05T07:37:51Z","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/2308.12060/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowledge base question answering (KBQA) is a critical yet challenging task due to the vast number of entities within knowledge bases and the diversity of natural language questions posed by users. Unfortunately, the performance of most KBQA models tends to decline significantly in real-world scenarios where high-quality annotated data is insufficient. To mitigate the burden associated with manual annotation, we introduce FlexKBQA by utilizing Large Language Models (LLMs) as program translators for addressing the challenges inherent in the few-shot KBQA task. Specifically, FlexKBQA leverages a","authors_text":"Bowen Dong, Jianyong Wang, Ning Liu, Sunqi Fan, Xiuxing Li, Yu Gu, Zhenyu Li, Zhichao Duan","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-08-23T11:00:36Z","title":"FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.12060","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":"sha256:7389fd4226c8888903061a9a6750ad0f6188f9618e9ebfa212a0ab2a987a531a","target":"record","created_at":"2026-07-05T07:37:51Z","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":"c8ad576c33720280e9faab3b12051cc3b1953e71f50ce3e4c07ceada92fbb051","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-08-23T11:00:36Z","title_canon_sha256":"e20f77ca30f2534f5d75caece0f916e683d33785f31fc6cd92ff171b34528731"},"schema_version":"1.0","source":{"id":"2308.12060","kind":"arxiv","version":3}},"canonical_sha256":"542d594ccaa0b9bbd364906b7c5a759d753368b38632bd6663d771707937f955","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"542d594ccaa0b9bbd364906b7c5a759d753368b38632bd6663d771707937f955","first_computed_at":"2026-07-05T07:37:51.163830Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:37:51.163830Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KFQTjMuzJ67Jdf6++wcY69VtEORIM5YcM5FZE75VUFNKkOwOMSl+AbvkKw7i2ob5hFzM+xYMr3iZFL+LYtLcBg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:37:51.164332Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.12060","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7389fd4226c8888903061a9a6750ad0f6188f9618e9ebfa212a0ab2a987a531a","sha256:f109ee88f2f356e8a335ac4bdab7df5edc13d59abc93686da82f32d3c8da8e94"],"state_sha256":"857a4a13e7c3402bebc2a14b216b42a335c928987b9e88b97428be1b404d2924"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p72oMOF0GlV9pEMlmWJFt9ypnUDRsAAIvYE/yNlLVaEYA+0WRFWb2cV4bmxRGFHk4D9XfSGqEAAlJ4gnyIqpBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T03:15:48.069345Z","bundle_sha256":"09a7a83e15e3d59698504ff9d43baa2508aff4fe9a94c231cf67bfdef8f0f9a3"}}