{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:375RMW5SKAKIUNFTLSD6W24GAR","short_pith_number":"pith:375RMW5S","schema_version":"1.0","canonical_sha256":"dffb165bb250148a34b35c87eb6b8604681aa1a56521250a6df713ed9be5203b","source":{"kind":"arxiv","id":"2311.02702","version":1},"attestation_state":"computed","paper":{"title":"Extraction of Atypical Aspects from Customer Reviews: Datasets and Experiments with Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Erfan Al-Hossami, Razvan Bunescu, Smita Nannaware","submitted_at":"2023-11-05T16:15:50Z","abstract_excerpt":"A restaurant dinner may become a memorable experience due to an unexpected aspect enjoyed by the customer, such as an origami-making station in the waiting area. If aspects that are atypical for a restaurant experience were known in advance, they could be leveraged to make recommendations that have the potential to engender serendipitous experiences, further increasing user satisfaction. Although relatively rare, whenever encountered, atypical aspects often end up being mentioned in reviews due to their memorable quality. Correspondingly, in this paper we introduce the task of detecting atypic"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2311.02702","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-05T16:15:50Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b0015e3b41057be4419355e9d6287c1ab20ffe9bfc5e9446129035a847c72c50","abstract_canon_sha256":"02aa3878f75ce5c9455a146b7b31cdf9e87c754acbdbb041be395856b2bf32d1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:09:16.938371Z","signature_b64":"Xu1RMoSN2GmJRWZAsN6DuvKjBHpGb4+rzWHIq09gjtjTSh/R/NGF9fb83joF+MUmrm0mvJuISGGus2L16/PxAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dffb165bb250148a34b35c87eb6b8604681aa1a56521250a6df713ed9be5203b","last_reissued_at":"2026-07-05T07:09:16.937928Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:09:16.937928Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Extraction of Atypical Aspects from Customer Reviews: Datasets and Experiments with Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Erfan Al-Hossami, Razvan Bunescu, Smita Nannaware","submitted_at":"2023-11-05T16:15:50Z","abstract_excerpt":"A restaurant dinner may become a memorable experience due to an unexpected aspect enjoyed by the customer, such as an origami-making station in the waiting area. If aspects that are atypical for a restaurant experience were known in advance, they could be leveraged to make recommendations that have the potential to engender serendipitous experiences, further increasing user satisfaction. Although relatively rare, whenever encountered, atypical aspects often end up being mentioned in reviews due to their memorable quality. Correspondingly, in this paper we introduce the task of detecting atypic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.02702","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/2311.02702/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2311.02702","created_at":"2026-07-05T07:09:16.937988+00:00"},{"alias_kind":"arxiv_version","alias_value":"2311.02702v1","created_at":"2026-07-05T07:09:16.937988+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.02702","created_at":"2026-07-05T07:09:16.937988+00:00"},{"alias_kind":"pith_short_12","alias_value":"375RMW5SKAKI","created_at":"2026-07-05T07:09:16.937988+00:00"},{"alias_kind":"pith_short_16","alias_value":"375RMW5SKAKIUNFT","created_at":"2026-07-05T07:09:16.937988+00:00"},{"alias_kind":"pith_short_8","alias_value":"375RMW5S","created_at":"2026-07-05T07:09:16.937988+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2505.23580","citing_title":"Engineering Serendipity through Recommendations of Items with Atypical Aspects","ref_index":33,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/375RMW5SKAKIUNFTLSD6W24GAR","json":"https://pith.science/pith/375RMW5SKAKIUNFTLSD6W24GAR.json","graph_json":"https://pith.science/api/pith-number/375RMW5SKAKIUNFTLSD6W24GAR/graph.json","events_json":"https://pith.science/api/pith-number/375RMW5SKAKIUNFTLSD6W24GAR/events.json","paper":"https://pith.science/paper/375RMW5S"},"agent_actions":{"view_html":"https://pith.science/pith/375RMW5SKAKIUNFTLSD6W24GAR","download_json":"https://pith.science/pith/375RMW5SKAKIUNFTLSD6W24GAR.json","view_paper":"https://pith.science/paper/375RMW5S","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2311.02702&json=true","fetch_graph":"https://pith.science/api/pith-number/375RMW5SKAKIUNFTLSD6W24GAR/graph.json","fetch_events":"https://pith.science/api/pith-number/375RMW5SKAKIUNFTLSD6W24GAR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/375RMW5SKAKIUNFTLSD6W24GAR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/375RMW5SKAKIUNFTLSD6W24GAR/action/storage_attestation","attest_author":"https://pith.science/pith/375RMW5SKAKIUNFTLSD6W24GAR/action/author_attestation","sign_citation":"https://pith.science/pith/375RMW5SKAKIUNFTLSD6W24GAR/action/citation_signature","submit_replication":"https://pith.science/pith/375RMW5SKAKIUNFTLSD6W24GAR/action/replication_record"}},"created_at":"2026-07-05T07:09:16.937988+00:00","updated_at":"2026-07-05T07:09:16.937988+00:00"}