{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:C45H66U5S5BQYPKJCMARIONBC7","short_pith_number":"pith:C45H66U5","canonical_record":{"source":{"id":"2208.10415","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2022-08-22T15:53:39Z","cross_cats_sorted":[],"title_canon_sha256":"bfa51908c357c99e09781e107659940524d538c77c34f19384b798d6ee8d29c1","abstract_canon_sha256":"a160ad2755d3e2bef404604633af04b1318062813db6fa45eec917593716c0b4"},"schema_version":"1.0"},"canonical_sha256":"173a7f7a9d97430c3d4913011439a117e7830edf75a627e8f11c73fd0a782fb9","source":{"kind":"arxiv","id":"2208.10415","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.10415","created_at":"2026-07-05T04:50:28Z"},{"alias_kind":"arxiv_version","alias_value":"2208.10415v1","created_at":"2026-07-05T04:50:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.10415","created_at":"2026-07-05T04:50:28Z"},{"alias_kind":"pith_short_12","alias_value":"C45H66U5S5BQ","created_at":"2026-07-05T04:50:28Z"},{"alias_kind":"pith_short_16","alias_value":"C45H66U5S5BQYPKJ","created_at":"2026-07-05T04:50:28Z"},{"alias_kind":"pith_short_8","alias_value":"C45H66U5","created_at":"2026-07-05T04:50:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:C45H66U5S5BQYPKJCMARIONBC7","target":"record","payload":{"canonical_record":{"source":{"id":"2208.10415","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2022-08-22T15:53:39Z","cross_cats_sorted":[],"title_canon_sha256":"bfa51908c357c99e09781e107659940524d538c77c34f19384b798d6ee8d29c1","abstract_canon_sha256":"a160ad2755d3e2bef404604633af04b1318062813db6fa45eec917593716c0b4"},"schema_version":"1.0"},"canonical_sha256":"173a7f7a9d97430c3d4913011439a117e7830edf75a627e8f11c73fd0a782fb9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:50:28.531802Z","signature_b64":"f9yoWh8v5KUL+gRUz4E3CY3QbXDHletmTcV9AfBLvdxANfJrTxaq51WUNLVtYypzYUTHfVRcVfOUel+fUz5lBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"173a7f7a9d97430c3d4913011439a117e7830edf75a627e8f11c73fd0a782fb9","last_reissued_at":"2026-07-05T04:50:28.531395Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:50:28.531395Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.10415","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":"2026-07-05T04:50:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s2IpX/I3N/mrD3NI7Mmyv7bgc6csOKioX8n2S7/ybv53lnddOEpmF335g/PWerk8BYbF8g3jTG82S4zEv1eZDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T18:04:26.747992Z"},"content_sha256":"a517645cc985b86316e7b560153f41b353a119a56dc5828defb5012dbaa36d0f","schema_version":"1.0","event_id":"sha256:a517645cc985b86316e7b560153f41b353a119a56dc5828defb5012dbaa36d0f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:C45H66U5S5BQYPKJCMARIONBC7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"NLDS-QL: From natural language data science questions to queries on graphs: analysing patients conditions & treatments","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Genoveva Vargas-Solar, Karim Dao, Mirian Halfeld Ferrari Alves","submitted_at":"2022-08-22T15:53:39Z","abstract_excerpt":"This paper introduces NLDS-QL, a translator of data science questions expressed in natural language (NL) into data science queries on graph databases. Our translator is based on a simplified NL described by a grammar that specifies sentences combining keywords to refer to operations on graphs with the vocabulary of the graph schema. The demonstration proposed in this paper shows NLDS-QL in action within a scenario to explore and analyse a graph base on patient diagnoses generated with the open-source Synthea."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.10415","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/2208.10415/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":"2026-07-05T04:50:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2szKNJAF4B66dTtJUpgRXTgIrX7nP9uO0U58+yGP41kHFmRohxmGSz8aaz8VKRDWWjUdVtAiHMuSE/0iR9AVDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T18:04:26.748660Z"},"content_sha256":"bbc156138aa5e934d7190e0efeb9dcb92a961a0f65af3dc8c8dd5252f90ba830","schema_version":"1.0","event_id":"sha256:bbc156138aa5e934d7190e0efeb9dcb92a961a0f65af3dc8c8dd5252f90ba830"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C45H66U5S5BQYPKJCMARIONBC7/bundle.json","state_url":"https://pith.science/pith/C45H66U5S5BQYPKJCMARIONBC7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C45H66U5S5BQYPKJCMARIONBC7/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":"2026-08-14T18:04:26Z","links":{"resolver":"https://pith.science/pith/C45H66U5S5BQYPKJCMARIONBC7","bundle":"https://pith.science/pith/C45H66U5S5BQYPKJCMARIONBC7/bundle.json","state":"https://pith.science/pith/C45H66U5S5BQYPKJCMARIONBC7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C45H66U5S5BQYPKJCMARIONBC7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:C45H66U5S5BQYPKJCMARIONBC7","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":"a160ad2755d3e2bef404604633af04b1318062813db6fa45eec917593716c0b4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2022-08-22T15:53:39Z","title_canon_sha256":"bfa51908c357c99e09781e107659940524d538c77c34f19384b798d6ee8d29c1"},"schema_version":"1.0","source":{"id":"2208.10415","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.10415","created_at":"2026-07-05T04:50:28Z"},{"alias_kind":"arxiv_version","alias_value":"2208.10415v1","created_at":"2026-07-05T04:50:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.10415","created_at":"2026-07-05T04:50:28Z"},{"alias_kind":"pith_short_12","alias_value":"C45H66U5S5BQ","created_at":"2026-07-05T04:50:28Z"},{"alias_kind":"pith_short_16","alias_value":"C45H66U5S5BQYPKJ","created_at":"2026-07-05T04:50:28Z"},{"alias_kind":"pith_short_8","alias_value":"C45H66U5","created_at":"2026-07-05T04:50:28Z"}],"graph_snapshots":[{"event_id":"sha256:bbc156138aa5e934d7190e0efeb9dcb92a961a0f65af3dc8c8dd5252f90ba830","target":"graph","created_at":"2026-07-05T04:50:28Z","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/2208.10415/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper introduces NLDS-QL, a translator of data science questions expressed in natural language (NL) into data science queries on graph databases. Our translator is based on a simplified NL described by a grammar that specifies sentences combining keywords to refer to operations on graphs with the vocabulary of the graph schema. The demonstration proposed in this paper shows NLDS-QL in action within a scenario to explore and analyse a graph base on patient diagnoses generated with the open-source Synthea.","authors_text":"Genoveva Vargas-Solar, Karim Dao, Mirian Halfeld Ferrari Alves","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2022-08-22T15:53:39Z","title":"NLDS-QL: From natural language data science questions to queries on graphs: analysing patients conditions & treatments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.10415","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:a517645cc985b86316e7b560153f41b353a119a56dc5828defb5012dbaa36d0f","target":"record","created_at":"2026-07-05T04:50:28Z","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":"a160ad2755d3e2bef404604633af04b1318062813db6fa45eec917593716c0b4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2022-08-22T15:53:39Z","title_canon_sha256":"bfa51908c357c99e09781e107659940524d538c77c34f19384b798d6ee8d29c1"},"schema_version":"1.0","source":{"id":"2208.10415","kind":"arxiv","version":1}},"canonical_sha256":"173a7f7a9d97430c3d4913011439a117e7830edf75a627e8f11c73fd0a782fb9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"173a7f7a9d97430c3d4913011439a117e7830edf75a627e8f11c73fd0a782fb9","first_computed_at":"2026-07-05T04:50:28.531395Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:50:28.531395Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"f9yoWh8v5KUL+gRUz4E3CY3QbXDHletmTcV9AfBLvdxANfJrTxaq51WUNLVtYypzYUTHfVRcVfOUel+fUz5lBA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:50:28.531802Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.10415","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a517645cc985b86316e7b560153f41b353a119a56dc5828defb5012dbaa36d0f","sha256:bbc156138aa5e934d7190e0efeb9dcb92a961a0f65af3dc8c8dd5252f90ba830"],"state_sha256":"a74cf0356a674675e6bd7cb3bd6163075a48f2f5ce6c755bc0cac908583f515c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GG0JyT/J3Cff4iI9s0kcD/kMk7ZwYv8AcFGI1K6cYxCHOnmFn/bWqzHEGsrlOwm56I+kpQGYoR5ZIMuqHn31BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T18:04:26.753328Z","bundle_sha256":"b7185c15bef47d738c143a91c2f3a4271fc1c3b6131b2af970674fc1fcfed4fe"}}