{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:LOWRGC6X52VYU6HPFERH5KPQVJ","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":"63f2944120a0532ced451a677b1daae5889ee73ddbee91c7fda95cd7edb82dfb","cross_cats_sorted":["econ.EM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2023-06-02T17:02:25Z","title_canon_sha256":"aabf561078e74743300e191c9f83b21ab9cd6e33cf8421213c4da4cc6e7c8858"},"schema_version":"1.0","source":{"id":"2306.01687","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.01687","created_at":"2026-07-05T11:13:05Z"},{"alias_kind":"arxiv_version","alias_value":"2306.01687v2","created_at":"2026-07-05T11:13:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.01687","created_at":"2026-07-05T11:13:05Z"},{"alias_kind":"pith_short_12","alias_value":"LOWRGC6X52VY","created_at":"2026-07-05T11:13:05Z"},{"alias_kind":"pith_short_16","alias_value":"LOWRGC6X52VYU6HP","created_at":"2026-07-05T11:13:05Z"},{"alias_kind":"pith_short_8","alias_value":"LOWRGC6X","created_at":"2026-07-05T11:13:05Z"}],"graph_snapshots":[{"event_id":"sha256:69dcc9ee315730855604ac01a14865d977653251c6442f5ca02a5b68c87e68bf","target":"graph","created_at":"2026-07-05T11:13:05Z","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/2306.01687/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We study the effect of using high-resolution elevation data on the selection of the most fuel-efficient(greenest) path for different trucks in various urban environments.We adapt a variant of the Comprehensive Modal Emission Model(CMEM) to show that the optimal speed and the greenest path are slope dependent (dynamic).When there are no elevation changes in a road network, the most fuel-efficient path is the shortest path with a constant (static) optimal speed throughout.However, if the network is not flat, then the shortest path is not necessarily the greenest path, and the optimal driving spe","authors_text":"Joachim Arts, Josu\\'e C. Vel\\'azquez-Mart\\'inez, Poulad Moradi","cross_cats":["econ.EM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2023-06-02T17:02:25Z","title":"Load Asymptotics and Dynamic Speed Optimization for the Greenest Path Problem: A Comprehensive Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.01687","kind":"arxiv","version":2},"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:ed4e95d3ab435038c4a5e3f5357224eefb0d1caf137557b7f307469aff2bc096","target":"record","created_at":"2026-07-05T11:13:05Z","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":"63f2944120a0532ced451a677b1daae5889ee73ddbee91c7fda95cd7edb82dfb","cross_cats_sorted":["econ.EM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2023-06-02T17:02:25Z","title_canon_sha256":"aabf561078e74743300e191c9f83b21ab9cd6e33cf8421213c4da4cc6e7c8858"},"schema_version":"1.0","source":{"id":"2306.01687","kind":"arxiv","version":2}},"canonical_sha256":"5bad130bd7eeab8a78ef29227ea9f0aa7d7f7ec50dd2ec544a348e4cdf506fcd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5bad130bd7eeab8a78ef29227ea9f0aa7d7f7ec50dd2ec544a348e4cdf506fcd","first_computed_at":"2026-07-05T11:13:05.274593Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:13:05.274593Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lT6Q4XcMbU6qgzAGObeJN/Ti0lLZf5WkggUbj2dCoHkq+WxQ8lg9zCQD5r31Xs9QAUYlrz/TmFZYeSDKYvKnBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:13:05.275108Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.01687","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ed4e95d3ab435038c4a5e3f5357224eefb0d1caf137557b7f307469aff2bc096","sha256:69dcc9ee315730855604ac01a14865d977653251c6442f5ca02a5b68c87e68bf"],"state_sha256":"f9cd7328d8c4c2d50a010796bb63397db1a76788880b61e0cfdaab1239a079a3"}