{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YUUOHSGSAJKJBNJ2EBXFPJQXFT","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":"b0572ce6cc69ae64bca9f89c5380c761fb397180f78aad0e6cce46e6db80c8e5","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-01-08T00:27:16Z","title_canon_sha256":"449014b71c7fafb721d87ec1e1feca39c952f923f0741e4618e65ca719b2e75b"},"schema_version":"1.0","source":{"id":"2401.06790","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.06790","created_at":"2026-07-05T07:43:59Z"},{"alias_kind":"arxiv_version","alias_value":"2401.06790v2","created_at":"2026-07-05T07:43:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.06790","created_at":"2026-07-05T07:43:59Z"},{"alias_kind":"pith_short_12","alias_value":"YUUOHSGSAJKJ","created_at":"2026-07-05T07:43:59Z"},{"alias_kind":"pith_short_16","alias_value":"YUUOHSGSAJKJBNJ2","created_at":"2026-07-05T07:43:59Z"},{"alias_kind":"pith_short_8","alias_value":"YUUOHSGS","created_at":"2026-07-05T07:43:59Z"}],"graph_snapshots":[{"event_id":"sha256:c8966edd901d29984e1fd89a1d1de7170a7a1fa91e087a50929483c18e5d4c2e","target":"graph","created_at":"2026-07-05T07:43:59Z","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/2401.06790/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This work presents an unsupervised method for automatically constructing and expanding topic taxonomies using instruction-based fine-tuned LLMs (Large Language Models). We apply topic modeling and keyword extraction techniques to create initial topic taxonomies and LLMs to post-process the resulting terms and create a hierarchy. To expand an existing taxonomy with new terms, we use zero-shot prompting to find out where to add new nodes, which, to our knowledge, is the first work to present such an approach to taxonomy tasks. We use the resulting taxonomies to assign tags that characterize merc","authors_text":"\\'Alvaro M. G. da Veiga, Antonio J. G. Busson, Daniel de S. Moraes, David Favaro, Fellipe Marques, Gabriela Tourinho, Ivan de J. P. Pinto, Leandro Santos, Marcos Rabaioli, Matheus A. S. Pinto, Pedro T. C. Santos, Polyana B. da Costa, Rafael H. Rocha, Rafael Miceli, Rennan Gaio, Sergio Colcher","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-01-08T00:27:16Z","title":"Using Zero-shot Prompting in the Automatic Creation and Expansion of Topic Taxonomies for Tagging Retail Banking Transactions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.06790","kind":"arxiv","version":2},"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":"sha256:2c111e75a19148d74a09a2168ac42a35724fecd42b899cbe0a6eb5f669aea716","target":"record","created_at":"2026-07-05T07:43:59Z","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":"b0572ce6cc69ae64bca9f89c5380c761fb397180f78aad0e6cce46e6db80c8e5","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-01-08T00:27:16Z","title_canon_sha256":"449014b71c7fafb721d87ec1e1feca39c952f923f0741e4618e65ca719b2e75b"},"schema_version":"1.0","source":{"id":"2401.06790","kind":"arxiv","version":2}},"canonical_sha256":"c528e3c8d2025490b53a206e57a6172cd11f64d7b2fedfa554a0aadf2efc52e2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c528e3c8d2025490b53a206e57a6172cd11f64d7b2fedfa554a0aadf2efc52e2","first_computed_at":"2026-07-05T07:43:59.673911Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:43:59.673911Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WJFRobzKyYe0IvhC8JxFGI15+jz0q32yGcx0tXx8prK+IveMVxmS3IPIuJPYyfJ78EnAuEP8H6kM+vQ2d8yTCg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:43:59.674394Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.06790","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2c111e75a19148d74a09a2168ac42a35724fecd42b899cbe0a6eb5f669aea716","sha256:c8966edd901d29984e1fd89a1d1de7170a7a1fa91e087a50929483c18e5d4c2e"],"state_sha256":"ff1e21097e29ef245b68f705c840ee2f9bcee46e6b9a22a592a4a0c7119a8e8c"}