{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:Q6FBKMX2XQ4LSOQRHGJ54CEK6W","short_pith_number":"pith:Q6FBKMX2","canonical_record":{"source":{"id":"2408.07494","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2024-08-14T12:19:25Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"6c806b1b83a3c62aaace82392c8869ea59b2e5e6400c48891c703cdcb8c24316","abstract_canon_sha256":"a8ee7347e9a82c799d77b8ac0f29fbe79a77cffe82d7ada7fa62deb2ed64e18b"},"schema_version":"1.0"},"canonical_sha256":"878a1532fabc38b93a113993de088af58bb746dad3cb7ad0c1cc902bb37ebe86","source":{"kind":"arxiv","id":"2408.07494","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.07494","created_at":"2026-07-05T08:55:26Z"},{"alias_kind":"arxiv_version","alias_value":"2408.07494v1","created_at":"2026-07-05T08:55:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.07494","created_at":"2026-07-05T08:55:26Z"},{"alias_kind":"pith_short_12","alias_value":"Q6FBKMX2XQ4L","created_at":"2026-07-05T08:55:26Z"},{"alias_kind":"pith_short_16","alias_value":"Q6FBKMX2XQ4LSOQR","created_at":"2026-07-05T08:55:26Z"},{"alias_kind":"pith_short_8","alias_value":"Q6FBKMX2","created_at":"2026-07-05T08:55:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:Q6FBKMX2XQ4LSOQRHGJ54CEK6W","target":"record","payload":{"canonical_record":{"source":{"id":"2408.07494","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2024-08-14T12:19:25Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"6c806b1b83a3c62aaace82392c8869ea59b2e5e6400c48891c703cdcb8c24316","abstract_canon_sha256":"a8ee7347e9a82c799d77b8ac0f29fbe79a77cffe82d7ada7fa62deb2ed64e18b"},"schema_version":"1.0"},"canonical_sha256":"878a1532fabc38b93a113993de088af58bb746dad3cb7ad0c1cc902bb37ebe86","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:55:26.248124Z","signature_b64":"RsE7mnpP2/a52RUIWEsGx7nu9yYcdXH9TGVcu1tqUwRqnBxwOH8ao6CuMVEIxp6wemOoiDqhELctsP9pi1YdAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"878a1532fabc38b93a113993de088af58bb746dad3cb7ad0c1cc902bb37ebe86","last_reissued_at":"2026-07-05T08:55:26.247719Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:55:26.247719Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.07494","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":"2026-07-05T08:55:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+qQvvGxZj2dk0gdI78VQBmUwuzgsJTtbcQV5yMKRYi479konTr0uPVF0vPNYLz8oHAWpMTz4rs+B1zNbiMneAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T09:15:29.067926Z"},"content_sha256":"b040645ee10be53fd08cc7aad80d51359d48afa6fa1518c3eb0bcfc3d19823af","schema_version":"1.0","event_id":"sha256:b040645ee10be53fd08cc7aad80d51359d48afa6fa1518c3eb0bcfc3d19823af"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:Q6FBKMX2XQ4LSOQRHGJ54CEK6W","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"QirK: Question Answering via Intermediate Representation on Knowledge Graphs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.DB","authors_text":"Anton Lykov, Dan Olteanu, Dan Suciu, Ilias Fountalis, Jan Luca Scheerer, Moe Kayali, Nikolaos Vasiloglou","submitted_at":"2024-08-14T12:19:25Z","abstract_excerpt":"We demonstrate QirK, a system for answering natural language questions on Knowledge Graphs (KG). QirK can answer structurally complex questions that are still beyond the reach of emerging Large Language Models (LLMs). It does so using a unique combination of database technology, LLMs, and semantic search over vector embeddings. The glue for these components is an intermediate representation (IR). The input question is mapped to IR using LLMs, which is then repaired into a valid relational database query with the aid of a semantic search on vector embeddings. This allows a practical synthesis o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.07494","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/2408.07494/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":"2026-07-05T08:55:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9w4OhEszO8J4KCkLaGHS9AuPLP0Jw/0RhciEAp97wqQ7oIOtlUvacaxq5tZ68UIxEZSP9ulI4Mm3Q7lcQpzVBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T09:15:29.068550Z"},"content_sha256":"0353b1d2b266879f9eecbef2c5c21af8c48310fd2777092bc868633cd517ac2d","schema_version":"1.0","event_id":"sha256:0353b1d2b266879f9eecbef2c5c21af8c48310fd2777092bc868633cd517ac2d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Q6FBKMX2XQ4LSOQRHGJ54CEK6W/bundle.json","state_url":"https://pith.science/pith/Q6FBKMX2XQ4LSOQRHGJ54CEK6W/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Q6FBKMX2XQ4LSOQRHGJ54CEK6W/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":"2026-08-05T09:15:29Z","links":{"resolver":"https://pith.science/pith/Q6FBKMX2XQ4LSOQRHGJ54CEK6W","bundle":"https://pith.science/pith/Q6FBKMX2XQ4LSOQRHGJ54CEK6W/bundle.json","state":"https://pith.science/pith/Q6FBKMX2XQ4LSOQRHGJ54CEK6W/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Q6FBKMX2XQ4LSOQRHGJ54CEK6W/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:Q6FBKMX2XQ4LSOQRHGJ54CEK6W","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":"a8ee7347e9a82c799d77b8ac0f29fbe79a77cffe82d7ada7fa62deb2ed64e18b","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2024-08-14T12:19:25Z","title_canon_sha256":"6c806b1b83a3c62aaace82392c8869ea59b2e5e6400c48891c703cdcb8c24316"},"schema_version":"1.0","source":{"id":"2408.07494","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.07494","created_at":"2026-07-05T08:55:26Z"},{"alias_kind":"arxiv_version","alias_value":"2408.07494v1","created_at":"2026-07-05T08:55:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.07494","created_at":"2026-07-05T08:55:26Z"},{"alias_kind":"pith_short_12","alias_value":"Q6FBKMX2XQ4L","created_at":"2026-07-05T08:55:26Z"},{"alias_kind":"pith_short_16","alias_value":"Q6FBKMX2XQ4LSOQR","created_at":"2026-07-05T08:55:26Z"},{"alias_kind":"pith_short_8","alias_value":"Q6FBKMX2","created_at":"2026-07-05T08:55:26Z"}],"graph_snapshots":[{"event_id":"sha256:0353b1d2b266879f9eecbef2c5c21af8c48310fd2777092bc868633cd517ac2d","target":"graph","created_at":"2026-07-05T08:55:26Z","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/2408.07494/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We demonstrate QirK, a system for answering natural language questions on Knowledge Graphs (KG). QirK can answer structurally complex questions that are still beyond the reach of emerging Large Language Models (LLMs). It does so using a unique combination of database technology, LLMs, and semantic search over vector embeddings. The glue for these components is an intermediate representation (IR). The input question is mapped to IR using LLMs, which is then repaired into a valid relational database query with the aid of a semantic search on vector embeddings. This allows a practical synthesis o","authors_text":"Anton Lykov, Dan Olteanu, Dan Suciu, Ilias Fountalis, Jan Luca Scheerer, Moe Kayali, Nikolaos Vasiloglou","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2024-08-14T12:19:25Z","title":"QirK: Question Answering via Intermediate Representation on Knowledge Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.07494","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:b040645ee10be53fd08cc7aad80d51359d48afa6fa1518c3eb0bcfc3d19823af","target":"record","created_at":"2026-07-05T08:55:26Z","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":"a8ee7347e9a82c799d77b8ac0f29fbe79a77cffe82d7ada7fa62deb2ed64e18b","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2024-08-14T12:19:25Z","title_canon_sha256":"6c806b1b83a3c62aaace82392c8869ea59b2e5e6400c48891c703cdcb8c24316"},"schema_version":"1.0","source":{"id":"2408.07494","kind":"arxiv","version":1}},"canonical_sha256":"878a1532fabc38b93a113993de088af58bb746dad3cb7ad0c1cc902bb37ebe86","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"878a1532fabc38b93a113993de088af58bb746dad3cb7ad0c1cc902bb37ebe86","first_computed_at":"2026-07-05T08:55:26.247719Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:55:26.247719Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RsE7mnpP2/a52RUIWEsGx7nu9yYcdXH9TGVcu1tqUwRqnBxwOH8ao6CuMVEIxp6wemOoiDqhELctsP9pi1YdAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:55:26.248124Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.07494","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b040645ee10be53fd08cc7aad80d51359d48afa6fa1518c3eb0bcfc3d19823af","sha256:0353b1d2b266879f9eecbef2c5c21af8c48310fd2777092bc868633cd517ac2d"],"state_sha256":"64eea8ea1233a7d3138fd80bb2990f9963d65509c05a9afe29a57240e80fcb4b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J6IO7u203RgZTarskTjuQC6FtfwYTqHf6Fd2KbQaQkGa8FU/b+0Qpg3+FNDnP56yTptAc4sq9SAyu15WjZ/7Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T09:15:29.072351Z","bundle_sha256":"dfa7fad22acc3d6e80d854df20c84c4480b4a2a5d86227b3cde697672dae25f7"}}