{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:BIFP75G4V22N3VLVFVSTGOH6VP","short_pith_number":"pith:BIFP75G4","canonical_record":{"source":{"id":"2505.21409","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-27T16:33:38Z","cross_cats_sorted":["cs.AI","cs.DB"],"title_canon_sha256":"a770fe87eb7971411e1b224ca9d07e7229793cddaa79c41840cb3a77d9d28ca0","abstract_canon_sha256":"c50285342898591bcead9f78d5d3d4dfde494482c1a92e58c3cd6bf1cc873d72"},"schema_version":"1.0"},"canonical_sha256":"0a0afff4dcaeb4ddd5752d653338feabd5a22d00d8c3bff23574e84d154f5cad","source":{"kind":"arxiv","id":"2505.21409","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.21409","created_at":"2026-07-05T11:10:41Z"},{"alias_kind":"arxiv_version","alias_value":"2505.21409v1","created_at":"2026-07-05T11:10:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.21409","created_at":"2026-07-05T11:10:41Z"},{"alias_kind":"pith_short_12","alias_value":"BIFP75G4V22N","created_at":"2026-07-05T11:10:41Z"},{"alias_kind":"pith_short_16","alias_value":"BIFP75G4V22N3VLV","created_at":"2026-07-05T11:10:41Z"},{"alias_kind":"pith_short_8","alias_value":"BIFP75G4","created_at":"2026-07-05T11:10:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:BIFP75G4V22N3VLVFVSTGOH6VP","target":"record","payload":{"canonical_record":{"source":{"id":"2505.21409","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-27T16:33:38Z","cross_cats_sorted":["cs.AI","cs.DB"],"title_canon_sha256":"a770fe87eb7971411e1b224ca9d07e7229793cddaa79c41840cb3a77d9d28ca0","abstract_canon_sha256":"c50285342898591bcead9f78d5d3d4dfde494482c1a92e58c3cd6bf1cc873d72"},"schema_version":"1.0"},"canonical_sha256":"0a0afff4dcaeb4ddd5752d653338feabd5a22d00d8c3bff23574e84d154f5cad","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:10:41.581351Z","signature_b64":"ARkYt3Rvee1p8X9cwiFuccbtdrHfcmLQ/1xX2iJ6fGTt5aBMMgauUr60hoGzj3AAiQhvQExXhhpnNasp8AaZAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0a0afff4dcaeb4ddd5752d653338feabd5a22d00d8c3bff23574e84d154f5cad","last_reissued_at":"2026-07-05T11:10:41.580781Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:10:41.580781Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.21409","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":"2026-07-05T11:10:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KhZMm/Pcm5jJGBYjXUU5jLoxwuUxHLfSz/KW8Qwm0TaZKz6ZYqJAud0bi0ODw5CpPW2Z41mzHNbShsj8MYRYCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T12:56:34.700456Z"},"content_sha256":"977f2e65abf33e697397a3247f80763cb9a5763a109b101ed91be97daafee044","schema_version":"1.0","event_id":"sha256:977f2e65abf33e697397a3247f80763cb9a5763a109b101ed91be97daafee044"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:BIFP75G4V22N3VLVFVSTGOH6VP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.DB"],"primary_cat":"cs.CL","authors_text":"Dario Satriani, Donatello Santoro, Enzo Veltri, Paolo Papotti","submitted_at":"2025-05-27T16:33:38Z","abstract_excerpt":"Factuality in Large Language Models (LLMs) is a persistent challenge. Current benchmarks often assess short factual answers, overlooking the critical ability to generate structured, multi-record tabular outputs from parametric knowledge. We demonstrate that this relational fact retrieval is substantially more difficult than isolated point-wise queries, even when individual facts are known to the model, exposing distinct failure modes sensitive to output dimensionality (e.g., number of attributes or records). To systematically evaluate this under-explored capability, we introduce RelationalFact"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.21409","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/2505.21409/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":"2026-07-05T11:10:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b3sSHjKleH/jL6Ek/qOjIiKvjyN6/tWkFLcsSyOSpGQTJXMzg0IaTVWvNWZlyXqGF7mrapDvGeLm+/z7BlEUAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T12:56:34.701312Z"},"content_sha256":"0bedb90f03448e5875eae28aeecadd31044a52dfb0f13fdb64bc15b14e053c09","schema_version":"1.0","event_id":"sha256:0bedb90f03448e5875eae28aeecadd31044a52dfb0f13fdb64bc15b14e053c09"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BIFP75G4V22N3VLVFVSTGOH6VP/bundle.json","state_url":"https://pith.science/pith/BIFP75G4V22N3VLVFVSTGOH6VP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BIFP75G4V22N3VLVFVSTGOH6VP/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":"2026-08-08T12:56:34Z","links":{"resolver":"https://pith.science/pith/BIFP75G4V22N3VLVFVSTGOH6VP","bundle":"https://pith.science/pith/BIFP75G4V22N3VLVFVSTGOH6VP/bundle.json","state":"https://pith.science/pith/BIFP75G4V22N3VLVFVSTGOH6VP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BIFP75G4V22N3VLVFVSTGOH6VP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BIFP75G4V22N3VLVFVSTGOH6VP","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":"c50285342898591bcead9f78d5d3d4dfde494482c1a92e58c3cd6bf1cc873d72","cross_cats_sorted":["cs.AI","cs.DB"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-27T16:33:38Z","title_canon_sha256":"a770fe87eb7971411e1b224ca9d07e7229793cddaa79c41840cb3a77d9d28ca0"},"schema_version":"1.0","source":{"id":"2505.21409","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.21409","created_at":"2026-07-05T11:10:41Z"},{"alias_kind":"arxiv_version","alias_value":"2505.21409v1","created_at":"2026-07-05T11:10:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.21409","created_at":"2026-07-05T11:10:41Z"},{"alias_kind":"pith_short_12","alias_value":"BIFP75G4V22N","created_at":"2026-07-05T11:10:41Z"},{"alias_kind":"pith_short_16","alias_value":"BIFP75G4V22N3VLV","created_at":"2026-07-05T11:10:41Z"},{"alias_kind":"pith_short_8","alias_value":"BIFP75G4","created_at":"2026-07-05T11:10:41Z"}],"graph_snapshots":[{"event_id":"sha256:0bedb90f03448e5875eae28aeecadd31044a52dfb0f13fdb64bc15b14e053c09","target":"graph","created_at":"2026-07-05T11:10:41Z","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/2505.21409/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Factuality in Large Language Models (LLMs) is a persistent challenge. Current benchmarks often assess short factual answers, overlooking the critical ability to generate structured, multi-record tabular outputs from parametric knowledge. We demonstrate that this relational fact retrieval is substantially more difficult than isolated point-wise queries, even when individual facts are known to the model, exposing distinct failure modes sensitive to output dimensionality (e.g., number of attributes or records). To systematically evaluate this under-explored capability, we introduce RelationalFact","authors_text":"Dario Satriani, Donatello Santoro, Enzo Veltri, Paolo Papotti","cross_cats":["cs.AI","cs.DB"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-27T16:33:38Z","title":"RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.21409","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":"sha256:977f2e65abf33e697397a3247f80763cb9a5763a109b101ed91be97daafee044","target":"record","created_at":"2026-07-05T11:10:41Z","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":"c50285342898591bcead9f78d5d3d4dfde494482c1a92e58c3cd6bf1cc873d72","cross_cats_sorted":["cs.AI","cs.DB"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-27T16:33:38Z","title_canon_sha256":"a770fe87eb7971411e1b224ca9d07e7229793cddaa79c41840cb3a77d9d28ca0"},"schema_version":"1.0","source":{"id":"2505.21409","kind":"arxiv","version":1}},"canonical_sha256":"0a0afff4dcaeb4ddd5752d653338feabd5a22d00d8c3bff23574e84d154f5cad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0a0afff4dcaeb4ddd5752d653338feabd5a22d00d8c3bff23574e84d154f5cad","first_computed_at":"2026-07-05T11:10:41.580781Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:10:41.580781Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ARkYt3Rvee1p8X9cwiFuccbtdrHfcmLQ/1xX2iJ6fGTt5aBMMgauUr60hoGzj3AAiQhvQExXhhpnNasp8AaZAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:10:41.581351Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.21409","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:977f2e65abf33e697397a3247f80763cb9a5763a109b101ed91be97daafee044","sha256:0bedb90f03448e5875eae28aeecadd31044a52dfb0f13fdb64bc15b14e053c09"],"state_sha256":"8365a33b6c1292b320079e4bd2c97f73845240e04b1c7332a3237a41e143213d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VZ1o9wBhKKHmnvjk9ey5CBCcC9wMYh2DFkRXIB7n/hYR1YqSZW08YlQHRU2lEI06gbqfmKjqBgGZgx5iqvDWAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T12:56:34.707047Z","bundle_sha256":"ff491d2a48538eb7e4b84ec32273a8a9b8afa8a889625b0990aa856e1acd4048"}}