{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:QF3VXROZ35VVW5QFS6JACMIAPE","short_pith_number":"pith:QF3VXROZ","canonical_record":{"source":{"id":"2506.00986","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-01T12:41:44Z","cross_cats_sorted":[],"title_canon_sha256":"fe621ec6e1843580778324b760664b7468b3206af319d19a534454d4b7c454c9","abstract_canon_sha256":"0b59aca6e16e37753e153209462d1bac3f651de81366e8580c83cbca35c9dfda"},"schema_version":"1.0"},"canonical_sha256":"81775bc5d9df6b5b76059792013100791b9d5f61f326aec5e8ebcd7b97a1086f","source":{"kind":"arxiv","id":"2506.00986","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.00986","created_at":"2026-07-05T11:13:44Z"},{"alias_kind":"arxiv_version","alias_value":"2506.00986v1","created_at":"2026-07-05T11:13:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.00986","created_at":"2026-07-05T11:13:44Z"},{"alias_kind":"pith_short_12","alias_value":"QF3VXROZ35VV","created_at":"2026-07-05T11:13:44Z"},{"alias_kind":"pith_short_16","alias_value":"QF3VXROZ35VVW5QF","created_at":"2026-07-05T11:13:44Z"},{"alias_kind":"pith_short_8","alias_value":"QF3VXROZ","created_at":"2026-07-05T11:13:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:QF3VXROZ35VVW5QFS6JACMIAPE","target":"record","payload":{"canonical_record":{"source":{"id":"2506.00986","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-01T12:41:44Z","cross_cats_sorted":[],"title_canon_sha256":"fe621ec6e1843580778324b760664b7468b3206af319d19a534454d4b7c454c9","abstract_canon_sha256":"0b59aca6e16e37753e153209462d1bac3f651de81366e8580c83cbca35c9dfda"},"schema_version":"1.0"},"canonical_sha256":"81775bc5d9df6b5b76059792013100791b9d5f61f326aec5e8ebcd7b97a1086f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:13:44.054186Z","signature_b64":"WXtFXhQ7XhzAzzGhs1/2b/VL/NdeyvBQlzGdltGyIPagboLgdAbSXPxxZf+qlFBpWIvjSiW5zOZtyGhRZKO5CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"81775bc5d9df6b5b76059792013100791b9d5f61f326aec5e8ebcd7b97a1086f","last_reissued_at":"2026-07-05T11:13:44.053774Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:13:44.053774Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.00986","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":"2026-07-05T11:13:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cKEZ4dV2zye7cJUjO7Dar09ooB5bhRjofhLA9patxdMYn+K8xtEAyRQULjzh+lqB3+EVDi0SpxXcokEyqXGaCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:20:09.879299Z"},"content_sha256":"4148eef54b4aa63622deeebce98462d3b4bace60a5f44185cadf5e3d114bf294","schema_version":"1.0","event_id":"sha256:4148eef54b4aa63622deeebce98462d3b4bace60a5f44185cadf5e3d114bf294"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:QF3VXROZ35VVW5QFS6JACMIAPE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Talking to Data: Designing Smart Assistants for Humanities Databases","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Alexander Sergeev, Evgeny Kotelnikov, Mikhail Melnichenko, Valeriya Goloviznina","submitted_at":"2025-06-01T12:41:44Z","abstract_excerpt":"Access to humanities research databases is often hindered by the limitations of traditional interaction formats, particularly in the methods of searching and response generation. This study introduces an LLM-based smart assistant designed to facilitate natural language communication with digital humanities data. The assistant, developed in a chatbot format, leverages the RAG approach and integrates state-of-the-art technologies such as hybrid search, automatic query generation, text-to-SQL filtering, semantic database search, and hyperlink insertion. To evaluate the effectiveness of the system"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.00986","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/2506.00986/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":"2026-07-05T11:13:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YL3Qc0UhNohDCAajl+6XE3NYr6zehClu9DVrVzqb1BwDUGf8+SpzOSX71PfblDkYL0tRPDQ0H+xrLPdhXC0IBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:20:09.879794Z"},"content_sha256":"211ae1ec7e3ea16c12fd3e61826e0374291b39921c5b893b4cabd8cc4605f584","schema_version":"1.0","event_id":"sha256:211ae1ec7e3ea16c12fd3e61826e0374291b39921c5b893b4cabd8cc4605f584"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QF3VXROZ35VVW5QFS6JACMIAPE/bundle.json","state_url":"https://pith.science/pith/QF3VXROZ35VVW5QFS6JACMIAPE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QF3VXROZ35VVW5QFS6JACMIAPE/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":"2026-08-08T07:20:09Z","links":{"resolver":"https://pith.science/pith/QF3VXROZ35VVW5QFS6JACMIAPE","bundle":"https://pith.science/pith/QF3VXROZ35VVW5QFS6JACMIAPE/bundle.json","state":"https://pith.science/pith/QF3VXROZ35VVW5QFS6JACMIAPE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QF3VXROZ35VVW5QFS6JACMIAPE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QF3VXROZ35VVW5QFS6JACMIAPE","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":"0b59aca6e16e37753e153209462d1bac3f651de81366e8580c83cbca35c9dfda","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-01T12:41:44Z","title_canon_sha256":"fe621ec6e1843580778324b760664b7468b3206af319d19a534454d4b7c454c9"},"schema_version":"1.0","source":{"id":"2506.00986","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.00986","created_at":"2026-07-05T11:13:44Z"},{"alias_kind":"arxiv_version","alias_value":"2506.00986v1","created_at":"2026-07-05T11:13:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.00986","created_at":"2026-07-05T11:13:44Z"},{"alias_kind":"pith_short_12","alias_value":"QF3VXROZ35VV","created_at":"2026-07-05T11:13:44Z"},{"alias_kind":"pith_short_16","alias_value":"QF3VXROZ35VVW5QF","created_at":"2026-07-05T11:13:44Z"},{"alias_kind":"pith_short_8","alias_value":"QF3VXROZ","created_at":"2026-07-05T11:13:44Z"}],"graph_snapshots":[{"event_id":"sha256:211ae1ec7e3ea16c12fd3e61826e0374291b39921c5b893b4cabd8cc4605f584","target":"graph","created_at":"2026-07-05T11:13:44Z","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/2506.00986/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Access to humanities research databases is often hindered by the limitations of traditional interaction formats, particularly in the methods of searching and response generation. This study introduces an LLM-based smart assistant designed to facilitate natural language communication with digital humanities data. The assistant, developed in a chatbot format, leverages the RAG approach and integrates state-of-the-art technologies such as hybrid search, automatic query generation, text-to-SQL filtering, semantic database search, and hyperlink insertion. To evaluate the effectiveness of the system","authors_text":"Alexander Sergeev, Evgeny Kotelnikov, Mikhail Melnichenko, Valeriya Goloviznina","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-01T12:41:44Z","title":"Talking to Data: Designing Smart Assistants for Humanities Databases"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.00986","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":"sha256:4148eef54b4aa63622deeebce98462d3b4bace60a5f44185cadf5e3d114bf294","target":"record","created_at":"2026-07-05T11:13:44Z","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":"0b59aca6e16e37753e153209462d1bac3f651de81366e8580c83cbca35c9dfda","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-01T12:41:44Z","title_canon_sha256":"fe621ec6e1843580778324b760664b7468b3206af319d19a534454d4b7c454c9"},"schema_version":"1.0","source":{"id":"2506.00986","kind":"arxiv","version":1}},"canonical_sha256":"81775bc5d9df6b5b76059792013100791b9d5f61f326aec5e8ebcd7b97a1086f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"81775bc5d9df6b5b76059792013100791b9d5f61f326aec5e8ebcd7b97a1086f","first_computed_at":"2026-07-05T11:13:44.053774Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:13:44.053774Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WXtFXhQ7XhzAzzGhs1/2b/VL/NdeyvBQlzGdltGyIPagboLgdAbSXPxxZf+qlFBpWIvjSiW5zOZtyGhRZKO5CA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:13:44.054186Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.00986","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4148eef54b4aa63622deeebce98462d3b4bace60a5f44185cadf5e3d114bf294","sha256:211ae1ec7e3ea16c12fd3e61826e0374291b39921c5b893b4cabd8cc4605f584"],"state_sha256":"5f7964abb9c31ef8715152744718d3847bf362d594f7213ae8ba6c51612f885c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jUA+hx+YV1JjWPbYUUqbFuTOZVfjpFd8HP0sl15Av5J0tuuCbN3Jthp4FXZ7pgJk6UHLOl/0BvMx/RPwtjhZCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T07:20:09.883282Z","bundle_sha256":"f7219cc2992cc262e5c222589ce9d7b06308fdb663b78277d7b54a698790e7bc"}}