{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:UFZSLCQZSID5NUGWECDHQRZSHT","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":"810286dbb88933a2f8bc47af5babc1599267d657a0f790cdd93180473e8339f3","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2025-04-25T22:20:33Z","title_canon_sha256":"4313a364fb2a4c131be31dd321b017877cdf4ecd7b365ed7759ada2f6e90075e"},"schema_version":"1.0","source":{"id":"2504.20092","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.20092","created_at":"2026-07-05T10:55:09Z"},{"alias_kind":"arxiv_version","alias_value":"2504.20092v1","created_at":"2026-07-05T10:55:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.20092","created_at":"2026-07-05T10:55:09Z"},{"alias_kind":"pith_short_12","alias_value":"UFZSLCQZSID5","created_at":"2026-07-05T10:55:09Z"},{"alias_kind":"pith_short_16","alias_value":"UFZSLCQZSID5NUGW","created_at":"2026-07-05T10:55:09Z"},{"alias_kind":"pith_short_8","alias_value":"UFZSLCQZ","created_at":"2026-07-05T10:55:09Z"}],"graph_snapshots":[{"event_id":"sha256:7462ddafd3899865e04a3d28ef4f11a6eaf63a0b366507906963db70de7cd93a","target":"graph","created_at":"2026-07-05T10:55:09Z","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/2504.20092/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Personalized food recommendation systems (Food-RecSys) critically underperform due to fragmented component understanding and the failure of conventional machine learning with vast, imbalanced food data. While Large Language Models (LLMs) offer promise, current generic Recommendation as Language Processing (RLP) strategies lack the necessary specialization for the food domain's complexity. This thesis tackles these deficiencies by first identifying and analyzing the essential components for effective Food-RecSys. We introduce two key innovations: a multimedia food logging platform for rich cont","authors_text":"Ali Rostami","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2025-04-25T22:20:33Z","title":"An Integrated Framework for Contextual Personalized LLM-Based Food Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.20092","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:dc7142f5fcba684a0240443670166e302883e00268991558cde622eb08063d50","target":"record","created_at":"2026-07-05T10:55:09Z","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":"810286dbb88933a2f8bc47af5babc1599267d657a0f790cdd93180473e8339f3","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2025-04-25T22:20:33Z","title_canon_sha256":"4313a364fb2a4c131be31dd321b017877cdf4ecd7b365ed7759ada2f6e90075e"},"schema_version":"1.0","source":{"id":"2504.20092","kind":"arxiv","version":1}},"canonical_sha256":"a173258a199207d6d0d620867847323cee1c41b1638faec1a6f9ff3927280b1a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a173258a199207d6d0d620867847323cee1c41b1638faec1a6f9ff3927280b1a","first_computed_at":"2026-07-05T10:55:09.390531Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:55:09.390531Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o5zhttzSDwdUf8kVRoeqdjmBlhUquTwteOktE1mDDGqbxi8Nmv7qs+L/w47GcKvGgYqNMTLI0GkFaWFGu5eeAA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:55:09.390921Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.20092","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dc7142f5fcba684a0240443670166e302883e00268991558cde622eb08063d50","sha256:7462ddafd3899865e04a3d28ef4f11a6eaf63a0b366507906963db70de7cd93a"],"state_sha256":"8597cdd3f17f17f6831267cb0b1be85202b28b81e780262e230541754621269b"}