{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SHPQ2LCE5WE25SO4CSCCPZZ6VG","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":"6bd005abf1136d172da29c433b317b9e8d82c6033803e1d8fa211875b1c1b9f7","cross_cats_sorted":["cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-17T08:15:07Z","title_canon_sha256":"3fa9d2465a7b73fb76bd9b85a997661f3bc7bbb175710c79ffd54fee75a7dd3e"},"schema_version":"1.0","source":{"id":"2606.18803","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.18803","created_at":"2026-06-19T16:11:47Z"},{"alias_kind":"arxiv_version","alias_value":"2606.18803v1","created_at":"2026-06-19T16:11:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.18803","created_at":"2026-06-19T16:11:47Z"},{"alias_kind":"pith_short_12","alias_value":"SHPQ2LCE5WE2","created_at":"2026-06-19T16:11:47Z"},{"alias_kind":"pith_short_16","alias_value":"SHPQ2LCE5WE25SO4","created_at":"2026-06-19T16:11:47Z"},{"alias_kind":"pith_short_8","alias_value":"SHPQ2LCE","created_at":"2026-06-19T16:11:47Z"}],"graph_snapshots":[{"event_id":"sha256:219de3779d767175fbd537f0a0afd79d35e479e187eb1d56086157ac111683e2","target":"graph","created_at":"2026-06-19T16:11:47Z","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/2606.18803/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Bringing Large Language Models (LLMs) into industrial ride-hailing dispatch as semantic feature extractors over platform-scale behavioral logs is a compelling but under-explored data systems problem. Production matching pipelines remain dominated by structured numerical features, yet decisive behavioral signals (e.g., a driver's habitual aversion to certain regions) are inherently contextual and naturally expressible as LLM-generated user profiles. However, scaling such profiling to a live, millisecond-latency dispatcher faces three intertwined constraints rarely addressed together: on a platf","authors_text":"Hao Liu, Kai Wan, Li Ma, Tengfei Lyu, Xu Liu, Zihao Lu, Zirui Yuan","cross_cats":["cs.CY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-17T08:15:07Z","title":"ProfiLLM: Utility-Aligned Agentic User Profiling for Industrial Ride-Hailing Dispatch"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.18803","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":"sha256:12bafd140a535aaef4facc2feec703aef1ab16b3fdbe2ba75922986ba3209272","target":"record","created_at":"2026-06-19T16:11:47Z","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":"6bd005abf1136d172da29c433b317b9e8d82c6033803e1d8fa211875b1c1b9f7","cross_cats_sorted":["cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-17T08:15:07Z","title_canon_sha256":"3fa9d2465a7b73fb76bd9b85a997661f3bc7bbb175710c79ffd54fee75a7dd3e"},"schema_version":"1.0","source":{"id":"2606.18803","kind":"arxiv","version":1}},"canonical_sha256":"91df0d2c44ed89aec9dc148427e73ea9886c3fe64b4ff4bb2862acddf8e0ff93","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"91df0d2c44ed89aec9dc148427e73ea9886c3fe64b4ff4bb2862acddf8e0ff93","first_computed_at":"2026-06-19T16:11:47.942290Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:11:47.942290Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H0Ja05KjRDHNeqsBjwFYy0noeKZjuKg0pPc6Rnvfg16u0NBZR3EyLqzyaoggOWY9L9JwrSiQlOFtsOFuDC3jCw==","signature_status":"signed_v1","signed_at":"2026-06-19T16:11:47.942649Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.18803","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:12bafd140a535aaef4facc2feec703aef1ab16b3fdbe2ba75922986ba3209272","sha256:219de3779d767175fbd537f0a0afd79d35e479e187eb1d56086157ac111683e2"],"state_sha256":"b8fac6a94557e958a058f35b1aa364418e56d2bba8ff241d782f302f48d0cd2a"}