{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:FZTWZMU77LOTWNP4ROB7PWLBX4","short_pith_number":"pith:FZTWZMU7","schema_version":"1.0","canonical_sha256":"2e676cb29ffadd3b35fc8b83f7d961bf3096951a1f85bb60d65adf9c818085bc","source":{"kind":"arxiv","id":"2311.02017","version":2},"attestation_state":"computed","paper":{"title":"DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Archana Mathur, Ashman Mehra, Snehanshu Saha, Vaskar Raychoudhury","submitted_at":"2023-11-03T16:23:22Z","abstract_excerpt":"Delivery of items from the producer to the consumer has experienced significant growth over the past decade and has been greatly fueled by the recent pandemic. Amazon Fresh, Shopify, UberEats, InstaCart, and DoorDash are rapidly growing and are sharing the same business model of consumer items or food delivery. Existing food delivery methods are sub-optimal because each delivery is individually optimized to go directly from the producer to the consumer via the shortest time path. We observe a significant scope for reducing the costs associated with completing deliveries under the current model"},"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":"2311.02017","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-11-03T16:23:22Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"18d9185e514141b5e70fba91b6ced5a717619686a87e65f25cd28ee533637436","abstract_canon_sha256":"7dfe45de6bf054faf8d734755ca9953281bd6cb8af144055387eb90714d66eac"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:43:57.159486Z","signature_b64":"Z/wwGZD8af9qdM1602CPzp8Hp2hP8zTFyGJHMuBgtewD1zl63vLuvXv473wbz3it4lKNC/HvWnyU4rhtVtpSCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2e676cb29ffadd3b35fc8b83f7d961bf3096951a1f85bb60d65adf9c818085bc","last_reissued_at":"2026-07-05T07:43:57.159055Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:43:57.159055Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Archana Mathur, Ashman Mehra, Snehanshu Saha, Vaskar Raychoudhury","submitted_at":"2023-11-03T16:23:22Z","abstract_excerpt":"Delivery of items from the producer to the consumer has experienced significant growth over the past decade and has been greatly fueled by the recent pandemic. Amazon Fresh, Shopify, UberEats, InstaCart, and DoorDash are rapidly growing and are sharing the same business model of consumer items or food delivery. Existing food delivery methods are sub-optimal because each delivery is individually optimized to go directly from the producer to the consumer via the shortest time path. We observe a significant scope for reducing the costs associated with completing deliveries under the current model"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.02017","kind":"arxiv","version":2},"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/2311.02017/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":"2311.02017","created_at":"2026-07-05T07:43:57.159107+00:00"},{"alias_kind":"arxiv_version","alias_value":"2311.02017v2","created_at":"2026-07-05T07:43:57.159107+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.02017","created_at":"2026-07-05T07:43:57.159107+00:00"},{"alias_kind":"pith_short_12","alias_value":"FZTWZMU77LOT","created_at":"2026-07-05T07:43:57.159107+00:00"},{"alias_kind":"pith_short_16","alias_value":"FZTWZMU77LOTWNP4","created_at":"2026-07-05T07:43:57.159107+00:00"},{"alias_kind":"pith_short_8","alias_value":"FZTWZMU7","created_at":"2026-07-05T07:43:57.159107+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2412.17252","citing_title":"A Coalition Game for On-demand Multi-modal 3D Automated Delivery System","ref_index":28,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/FZTWZMU77LOTWNP4ROB7PWLBX4","json":"https://pith.science/pith/FZTWZMU77LOTWNP4ROB7PWLBX4.json","graph_json":"https://pith.science/api/pith-number/FZTWZMU77LOTWNP4ROB7PWLBX4/graph.json","events_json":"https://pith.science/api/pith-number/FZTWZMU77LOTWNP4ROB7PWLBX4/events.json","paper":"https://pith.science/paper/FZTWZMU7"},"agent_actions":{"view_html":"https://pith.science/pith/FZTWZMU77LOTWNP4ROB7PWLBX4","download_json":"https://pith.science/pith/FZTWZMU77LOTWNP4ROB7PWLBX4.json","view_paper":"https://pith.science/paper/FZTWZMU7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2311.02017&json=true","fetch_graph":"https://pith.science/api/pith-number/FZTWZMU77LOTWNP4ROB7PWLBX4/graph.json","fetch_events":"https://pith.science/api/pith-number/FZTWZMU77LOTWNP4ROB7PWLBX4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FZTWZMU77LOTWNP4ROB7PWLBX4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FZTWZMU77LOTWNP4ROB7PWLBX4/action/storage_attestation","attest_author":"https://pith.science/pith/FZTWZMU77LOTWNP4ROB7PWLBX4/action/author_attestation","sign_citation":"https://pith.science/pith/FZTWZMU77LOTWNP4ROB7PWLBX4/action/citation_signature","submit_replication":"https://pith.science/pith/FZTWZMU77LOTWNP4ROB7PWLBX4/action/replication_record"}},"created_at":"2026-07-05T07:43:57.159107+00:00","updated_at":"2026-07-05T07:43:57.159107+00:00"}