{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:NTLE36IEDN4ZMWT3U6LLNBXGNK","short_pith_number":"pith:NTLE36IE","schema_version":"1.0","canonical_sha256":"6cd64df9041b79965a7ba796b686e66ab19b6ce822efe611a4bafefbc8c75e39","source":{"kind":"arxiv","id":"2605.22391","version":1},"attestation_state":"computed","paper":{"title":"Epicure: Navigating the Emergent Geometry of Food Ingredient Embeddings","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.CY"],"primary_cat":"cs.AI","authors_text":"Jakub Radzikowski, Josef Chen","submitted_at":"2026-05-21T12:23:38Z","abstract_excerpt":"We present Epicure, a family of three sibling skip-gram ingredient embeddings retrained from scratch on a multilingual recipe corpus. We aggregate 4.14M recipes from 11 sources spanning seven languages, English, Chinese, Russian, Vietnamese, Spanish, Turkish, Indonesian, German, and Indian-English, and normalise the raw ingredient strings to 1,790 canonical entries via an LLM-augmented pipeline. A 203,508-edge ingredient-ingredient NPMI graph and an 80,019-edge typed FlavorDB ingredient-compound graph, 2,247 typed compound nodes across 15 categories, seed three Metapath2Vec variants that share"},"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":"2605.22391","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-21T12:23:38Z","cross_cats_sorted":["cs.CL","cs.CY"],"title_canon_sha256":"539fef5f8822d826e97904c318f4542c46c395679a32024c7a8fb42730e1c324","abstract_canon_sha256":"44204b2db39b3f1c4085a857651803bf07ca1dbe2e848bccc351617ed35a75be"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-22T01:04:41.229735Z","signature_b64":"Xonx+grvOWcSWGBjzdLZLfigxMyR9eNvjFQRzok43D+Mf1U86j5o1bPaOws5hqmrx6gXaDR6HF46ChEVd+qmBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6cd64df9041b79965a7ba796b686e66ab19b6ce822efe611a4bafefbc8c75e39","last_reissued_at":"2026-05-22T01:04:41.229038Z","signature_status":"signed_v1","first_computed_at":"2026-05-22T01:04:41.229038Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Epicure: Navigating the Emergent Geometry of Food Ingredient Embeddings","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.CY"],"primary_cat":"cs.AI","authors_text":"Jakub Radzikowski, Josef Chen","submitted_at":"2026-05-21T12:23:38Z","abstract_excerpt":"We present Epicure, a family of three sibling skip-gram ingredient embeddings retrained from scratch on a multilingual recipe corpus. We aggregate 4.14M recipes from 11 sources spanning seven languages, English, Chinese, Russian, Vietnamese, Spanish, Turkish, Indonesian, German, and Indian-English, and normalise the raw ingredient strings to 1,790 canonical entries via an LLM-augmented pipeline. A 203,508-edge ingredient-ingredient NPMI graph and an 80,019-edge typed FlavorDB ingredient-compound graph, 2,247 typed compound nodes across 15 categories, seed three Metapath2Vec variants that share"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22391","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/2605.22391/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":"2605.22391","created_at":"2026-05-22T01:04:41.229142+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.22391v1","created_at":"2026-05-22T01:04:41.229142+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22391","created_at":"2026-05-22T01:04:41.229142+00:00"},{"alias_kind":"pith_short_12","alias_value":"NTLE36IEDN4Z","created_at":"2026-05-22T01:04:41.229142+00:00"},{"alias_kind":"pith_short_16","alias_value":"NTLE36IEDN4ZMWT3","created_at":"2026-05-22T01:04:41.229142+00:00"},{"alias_kind":"pith_short_8","alias_value":"NTLE36IE","created_at":"2026-05-22T01:04:41.229142+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/NTLE36IEDN4ZMWT3U6LLNBXGNK","json":"https://pith.science/pith/NTLE36IEDN4ZMWT3U6LLNBXGNK.json","graph_json":"https://pith.science/api/pith-number/NTLE36IEDN4ZMWT3U6LLNBXGNK/graph.json","events_json":"https://pith.science/api/pith-number/NTLE36IEDN4ZMWT3U6LLNBXGNK/events.json","paper":"https://pith.science/paper/NTLE36IE"},"agent_actions":{"view_html":"https://pith.science/pith/NTLE36IEDN4ZMWT3U6LLNBXGNK","download_json":"https://pith.science/pith/NTLE36IEDN4ZMWT3U6LLNBXGNK.json","view_paper":"https://pith.science/paper/NTLE36IE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.22391&json=true","fetch_graph":"https://pith.science/api/pith-number/NTLE36IEDN4ZMWT3U6LLNBXGNK/graph.json","fetch_events":"https://pith.science/api/pith-number/NTLE36IEDN4ZMWT3U6LLNBXGNK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NTLE36IEDN4ZMWT3U6LLNBXGNK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NTLE36IEDN4ZMWT3U6LLNBXGNK/action/storage_attestation","attest_author":"https://pith.science/pith/NTLE36IEDN4ZMWT3U6LLNBXGNK/action/author_attestation","sign_citation":"https://pith.science/pith/NTLE36IEDN4ZMWT3U6LLNBXGNK/action/citation_signature","submit_replication":"https://pith.science/pith/NTLE36IEDN4ZMWT3U6LLNBXGNK/action/replication_record"}},"created_at":"2026-05-22T01:04:41.229142+00:00","updated_at":"2026-05-22T01:04:41.229142+00:00"}