{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:BMM4PEZ4SUTXT3QPBQKFIQSBRI","short_pith_number":"pith:BMM4PEZ4","canonical_record":{"source":{"id":"2608.06331","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DB","submitted_at":"2026-08-06T17:40:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ba8be590f08784ccae6326b39239b5c7819e4369932609ca2ec99c8e64752136","abstract_canon_sha256":"c0ff63bcdebb14a3ad260850f1b65424fb11b581717d90bc52f9ad65f367c5bb"},"schema_version":"1.0"},"canonical_sha256":"0b19c7933c952779ee0f0c145442418a3a1e111b6424ac55626305261e865003","source":{"kind":"arxiv","id":"2608.06331","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.06331","created_at":"2026-08-07T01:41:23Z"},{"alias_kind":"arxiv_version","alias_value":"2608.06331v1","created_at":"2026-08-07T01:41:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.06331","created_at":"2026-08-07T01:41:23Z"},{"alias_kind":"pith_short_12","alias_value":"BMM4PEZ4SUTX","created_at":"2026-08-07T01:41:23Z"},{"alias_kind":"pith_short_16","alias_value":"BMM4PEZ4SUTXT3QP","created_at":"2026-08-07T01:41:23Z"},{"alias_kind":"pith_short_8","alias_value":"BMM4PEZ4","created_at":"2026-08-07T01:41:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:BMM4PEZ4SUTXT3QPBQKFIQSBRI","target":"record","payload":{"canonical_record":{"source":{"id":"2608.06331","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DB","submitted_at":"2026-08-06T17:40:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ba8be590f08784ccae6326b39239b5c7819e4369932609ca2ec99c8e64752136","abstract_canon_sha256":"c0ff63bcdebb14a3ad260850f1b65424fb11b581717d90bc52f9ad65f367c5bb"},"schema_version":"1.0"},"canonical_sha256":"0b19c7933c952779ee0f0c145442418a3a1e111b6424ac55626305261e865003","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-07T01:41:23.015958Z","signature_b64":"vt0DivZY6kOg+3kmGQgIe7B9mQ47+GzLmwXXQMvcvygV+Fisiys07tUobxWPtNLLrMyh15+kR5DFWK47tdB/Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0b19c7933c952779ee0f0c145442418a3a1e111b6424ac55626305261e865003","last_reissued_at":"2026-08-07T01:41:23.013888Z","signature_status":"signed_v1","first_computed_at":"2026-08-07T01:41:23.013888Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.06331","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":"2026-08-07T01:41:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QEJ8riss9z2wg4lBoKfXAenROJpIkHWcJJ2QeeGLzPV1rNwJ1AM48nYKSU0tDOUorO+fWb8Zmik+xKPW01M1Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T17:15:22.557971Z"},"content_sha256":"52bf8a738ce094ad40912495f19c62eae502ad5337783e4c426370a81894d122","schema_version":"1.0","event_id":"sha256:52bf8a738ce094ad40912495f19c62eae502ad5337783e4c426370a81894d122"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:BMM4PEZ4SUTXT3QPBQKFIQSBRI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Tytan: Interactive Neurosymbolic Construction of Analytic Semantic Schemas from Relational Data","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.DB","authors_text":"Abhratanu Dutta, Cameron Barrie, Donna Hooshmand, Harper Pack, Kristian J. Hammond, Marko Sterbentz, Shubham Shahi","submitted_at":"2026-08-06T17:40:26Z","abstract_excerpt":"From natural-language query interfaces to automated report generation, data analysis tools need a description of the data: the real-world entities it contains, which columns function as measures or identifiers, and how tables connect into units of analysis. Today, this semantic layer is usually written by hand. This is a knowledge-acquisition bottleneck that limits the scalability of analytic systems, keeps non-technical users dependent on experts, and is itself error-prone. We present TYTAN, a system for automatically constructing an analytic semantic schema from a relational database and, wh"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.06331","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/2608.06331/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":"2026-08-07T01:41:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o2sYNqUQz/3B6CIWAbYjh2olXU1WY2nbg1N2y82gNwTWjjbItefRgteRNhI3R+ULy1fuOIJ0ovQt1t8E8WaRBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T17:15:22.558874Z"},"content_sha256":"46f336d2cfc0b48351bd7c01130505fa1a43465de76c793ae6bd7a902c92480d","schema_version":"1.0","event_id":"sha256:46f336d2cfc0b48351bd7c01130505fa1a43465de76c793ae6bd7a902c92480d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BMM4PEZ4SUTXT3QPBQKFIQSBRI/bundle.json","state_url":"https://pith.science/pith/BMM4PEZ4SUTXT3QPBQKFIQSBRI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BMM4PEZ4SUTXT3QPBQKFIQSBRI/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":"2026-08-08T17:15:22Z","links":{"resolver":"https://pith.science/pith/BMM4PEZ4SUTXT3QPBQKFIQSBRI","bundle":"https://pith.science/pith/BMM4PEZ4SUTXT3QPBQKFIQSBRI/bundle.json","state":"https://pith.science/pith/BMM4PEZ4SUTXT3QPBQKFIQSBRI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BMM4PEZ4SUTXT3QPBQKFIQSBRI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BMM4PEZ4SUTXT3QPBQKFIQSBRI","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":"c0ff63bcdebb14a3ad260850f1b65424fb11b581717d90bc52f9ad65f367c5bb","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DB","submitted_at":"2026-08-06T17:40:26Z","title_canon_sha256":"ba8be590f08784ccae6326b39239b5c7819e4369932609ca2ec99c8e64752136"},"schema_version":"1.0","source":{"id":"2608.06331","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.06331","created_at":"2026-08-07T01:41:23Z"},{"alias_kind":"arxiv_version","alias_value":"2608.06331v1","created_at":"2026-08-07T01:41:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.06331","created_at":"2026-08-07T01:41:23Z"},{"alias_kind":"pith_short_12","alias_value":"BMM4PEZ4SUTX","created_at":"2026-08-07T01:41:23Z"},{"alias_kind":"pith_short_16","alias_value":"BMM4PEZ4SUTXT3QP","created_at":"2026-08-07T01:41:23Z"},{"alias_kind":"pith_short_8","alias_value":"BMM4PEZ4","created_at":"2026-08-07T01:41:23Z"}],"graph_snapshots":[{"event_id":"sha256:46f336d2cfc0b48351bd7c01130505fa1a43465de76c793ae6bd7a902c92480d","target":"graph","created_at":"2026-08-07T01:41:23Z","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/2608.06331/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"From natural-language query interfaces to automated report generation, data analysis tools need a description of the data: the real-world entities it contains, which columns function as measures or identifiers, and how tables connect into units of analysis. Today, this semantic layer is usually written by hand. This is a knowledge-acquisition bottleneck that limits the scalability of analytic systems, keeps non-technical users dependent on experts, and is itself error-prone. We present TYTAN, a system for automatically constructing an analytic semantic schema from a relational database and, wh","authors_text":"Abhratanu Dutta, Cameron Barrie, Donna Hooshmand, Harper Pack, Kristian J. Hammond, Marko Sterbentz, Shubham Shahi","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DB","submitted_at":"2026-08-06T17:40:26Z","title":"Tytan: Interactive Neurosymbolic Construction of Analytic Semantic Schemas from Relational Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.06331","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":"sha256:52bf8a738ce094ad40912495f19c62eae502ad5337783e4c426370a81894d122","target":"record","created_at":"2026-08-07T01:41:23Z","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":"c0ff63bcdebb14a3ad260850f1b65424fb11b581717d90bc52f9ad65f367c5bb","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DB","submitted_at":"2026-08-06T17:40:26Z","title_canon_sha256":"ba8be590f08784ccae6326b39239b5c7819e4369932609ca2ec99c8e64752136"},"schema_version":"1.0","source":{"id":"2608.06331","kind":"arxiv","version":1}},"canonical_sha256":"0b19c7933c952779ee0f0c145442418a3a1e111b6424ac55626305261e865003","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0b19c7933c952779ee0f0c145442418a3a1e111b6424ac55626305261e865003","first_computed_at":"2026-08-07T01:41:23.013888Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-07T01:41:23.013888Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vt0DivZY6kOg+3kmGQgIe7B9mQ47+GzLmwXXQMvcvygV+Fisiys07tUobxWPtNLLrMyh15+kR5DFWK47tdB/Bg==","signature_status":"signed_v1","signed_at":"2026-08-07T01:41:23.015958Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.06331","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:52bf8a738ce094ad40912495f19c62eae502ad5337783e4c426370a81894d122","sha256:46f336d2cfc0b48351bd7c01130505fa1a43465de76c793ae6bd7a902c92480d"],"state_sha256":"f3bfd1bd97d610d8dbdec4d21247d5b01df7e483f2d0255563e923b0f9826b2f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FxVu9O9Ks3Q7iCbFZbTh0FYgnvha/OZUBVi1ZH4OUBI7Jrp+hmFGNt8szShMKUDgoxKNoeQlQz65L0UTljeMDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T17:15:22.564297Z","bundle_sha256":"44ec7e7105eedaa33209e726327f858bd8782e8e2bf6e00333f31da12a3ed8bd"}}