{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:EPA5QEYZIMZROMY4CALMYWQXVN","short_pith_number":"pith:EPA5QEYZ","canonical_record":{"source":{"id":"2308.09866","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2023-08-19T00:59:17Z","cross_cats_sorted":[],"title_canon_sha256":"56faff0af9fa74a96c1b5eb8cd6609d63fb63f1cb50a2f02eb25559aff17f25e","abstract_canon_sha256":"30682d792e0982f751581eece0c009b6b7a54de99a112a4c548ac6676b2577c6"},"schema_version":"1.0"},"canonical_sha256":"23c1d81319433317331c1016cc5a17ab55ae22c00daefa3ce30dd3586bbc2167","source":{"kind":"arxiv","id":"2308.09866","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.09866","created_at":"2026-07-05T06:42:47Z"},{"alias_kind":"arxiv_version","alias_value":"2308.09866v1","created_at":"2026-07-05T06:42:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.09866","created_at":"2026-07-05T06:42:47Z"},{"alias_kind":"pith_short_12","alias_value":"EPA5QEYZIMZR","created_at":"2026-07-05T06:42:47Z"},{"alias_kind":"pith_short_16","alias_value":"EPA5QEYZIMZROMY4","created_at":"2026-07-05T06:42:47Z"},{"alias_kind":"pith_short_8","alias_value":"EPA5QEYZ","created_at":"2026-07-05T06:42:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:EPA5QEYZIMZROMY4CALMYWQXVN","target":"record","payload":{"canonical_record":{"source":{"id":"2308.09866","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2023-08-19T00:59:17Z","cross_cats_sorted":[],"title_canon_sha256":"56faff0af9fa74a96c1b5eb8cd6609d63fb63f1cb50a2f02eb25559aff17f25e","abstract_canon_sha256":"30682d792e0982f751581eece0c009b6b7a54de99a112a4c548ac6676b2577c6"},"schema_version":"1.0"},"canonical_sha256":"23c1d81319433317331c1016cc5a17ab55ae22c00daefa3ce30dd3586bbc2167","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:42:47.872669Z","signature_b64":"Bmn7jVfpfQeHwrrPeroL+ST4O0knAXCTQvXTonp8aqRLwvagoB41W/KWuO3YfnU+g7ADfQSluObhePiLy08fDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"23c1d81319433317331c1016cc5a17ab55ae22c00daefa3ce30dd3586bbc2167","last_reissued_at":"2026-07-05T06:42:47.872238Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:42:47.872238Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.09866","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:42:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fEv5JSwcX3PWAO7UulDHR3E5tsaP4oYQpmlMpj6Nvoo9G6eGD18uEJ0dxvufiqEzBIULLKIvsqIoo5ze5Z51CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T12:28:22.391794Z"},"content_sha256":"73cc5fe1fdefcbebf055d7ce0db4b7bfbcded5dbdb5d545eef119d053c1638dc","schema_version":"1.0","event_id":"sha256:73cc5fe1fdefcbebf055d7ce0db4b7bfbcded5dbdb5d545eef119d053c1638dc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:EPA5QEYZIMZROMY4CALMYWQXVN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Minimizing Carbon Footprint for Timely E-Truck Transportation: Hardness and Approximation Algorithm","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DS","authors_text":"Haibo Zeng, Junyan Su, Minghua Chen, Qiulin Lin","submitted_at":"2023-08-19T00:59:17Z","abstract_excerpt":"Carbon footprint optimization (CFO) is important for sustainable heavy-duty e-truck transportation. We consider the CFO problem for timely transportation of e-trucks, where the truck travels from an origin to a destination across a national highway network subject to a deadline. The goal is to minimize the carbon footprint by orchestrating path planning, speed planning, and intermediary charging planning. We first show that it is NP-hard even just to find a feasible CFO solution. We then develop a $(1+\\epsilon_F, 1+\\epsilon_\\beta)$ bi-criteria approximation algorithm that achieves a carbon foo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.09866","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/2308.09866/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:42:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AaL3kfRyoAZyzQOK/2fz7Q1IolPwvkVtpvf6mX2qF+pycLmcHCwitVZ4BItFEaD1gdB7qcm4AjD9MNC+u4ozBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T12:28:22.392702Z"},"content_sha256":"b575ee37b5b877b89e9ca93aba29ce38325ce3574e7d60c90d7c91f147bbead3","schema_version":"1.0","event_id":"sha256:b575ee37b5b877b89e9ca93aba29ce38325ce3574e7d60c90d7c91f147bbead3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EPA5QEYZIMZROMY4CALMYWQXVN/bundle.json","state_url":"https://pith.science/pith/EPA5QEYZIMZROMY4CALMYWQXVN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EPA5QEYZIMZROMY4CALMYWQXVN/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-05T12:28:22Z","links":{"resolver":"https://pith.science/pith/EPA5QEYZIMZROMY4CALMYWQXVN","bundle":"https://pith.science/pith/EPA5QEYZIMZROMY4CALMYWQXVN/bundle.json","state":"https://pith.science/pith/EPA5QEYZIMZROMY4CALMYWQXVN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EPA5QEYZIMZROMY4CALMYWQXVN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:EPA5QEYZIMZROMY4CALMYWQXVN","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":"30682d792e0982f751581eece0c009b6b7a54de99a112a4c548ac6676b2577c6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2023-08-19T00:59:17Z","title_canon_sha256":"56faff0af9fa74a96c1b5eb8cd6609d63fb63f1cb50a2f02eb25559aff17f25e"},"schema_version":"1.0","source":{"id":"2308.09866","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.09866","created_at":"2026-07-05T06:42:47Z"},{"alias_kind":"arxiv_version","alias_value":"2308.09866v1","created_at":"2026-07-05T06:42:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.09866","created_at":"2026-07-05T06:42:47Z"},{"alias_kind":"pith_short_12","alias_value":"EPA5QEYZIMZR","created_at":"2026-07-05T06:42:47Z"},{"alias_kind":"pith_short_16","alias_value":"EPA5QEYZIMZROMY4","created_at":"2026-07-05T06:42:47Z"},{"alias_kind":"pith_short_8","alias_value":"EPA5QEYZ","created_at":"2026-07-05T06:42:47Z"}],"graph_snapshots":[{"event_id":"sha256:b575ee37b5b877b89e9ca93aba29ce38325ce3574e7d60c90d7c91f147bbead3","target":"graph","created_at":"2026-07-05T06:42:47Z","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/2308.09866/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Carbon footprint optimization (CFO) is important for sustainable heavy-duty e-truck transportation. We consider the CFO problem for timely transportation of e-trucks, where the truck travels from an origin to a destination across a national highway network subject to a deadline. The goal is to minimize the carbon footprint by orchestrating path planning, speed planning, and intermediary charging planning. We first show that it is NP-hard even just to find a feasible CFO solution. We then develop a $(1+\\epsilon_F, 1+\\epsilon_\\beta)$ bi-criteria approximation algorithm that achieves a carbon foo","authors_text":"Haibo Zeng, Junyan Su, Minghua Chen, Qiulin Lin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2023-08-19T00:59:17Z","title":"Minimizing Carbon Footprint for Timely E-Truck Transportation: Hardness and Approximation Algorithm"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.09866","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":"sha256:73cc5fe1fdefcbebf055d7ce0db4b7bfbcded5dbdb5d545eef119d053c1638dc","target":"record","created_at":"2026-07-05T06:42:47Z","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":"30682d792e0982f751581eece0c009b6b7a54de99a112a4c548ac6676b2577c6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2023-08-19T00:59:17Z","title_canon_sha256":"56faff0af9fa74a96c1b5eb8cd6609d63fb63f1cb50a2f02eb25559aff17f25e"},"schema_version":"1.0","source":{"id":"2308.09866","kind":"arxiv","version":1}},"canonical_sha256":"23c1d81319433317331c1016cc5a17ab55ae22c00daefa3ce30dd3586bbc2167","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"23c1d81319433317331c1016cc5a17ab55ae22c00daefa3ce30dd3586bbc2167","first_computed_at":"2026-07-05T06:42:47.872238Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:42:47.872238Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Bmn7jVfpfQeHwrrPeroL+ST4O0knAXCTQvXTonp8aqRLwvagoB41W/KWuO3YfnU+g7ADfQSluObhePiLy08fDA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:42:47.872669Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.09866","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:73cc5fe1fdefcbebf055d7ce0db4b7bfbcded5dbdb5d545eef119d053c1638dc","sha256:b575ee37b5b877b89e9ca93aba29ce38325ce3574e7d60c90d7c91f147bbead3"],"state_sha256":"79a0c8fd4fa1351abf81c1bd48939a13bb90d3a1a64c4234f0001c78e6b9a807"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yxKUevx1OiVr8g00ja4mNOZL6HwXsDzzbBk0Oy6LEkf4PP/ilJCt+bZ3ECeusHplBxqhWqVajCzpMRZTkiQZDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T12:28:22.399941Z","bundle_sha256":"cce86f3d0212213e4752621c7f734c91f8789005839ba1e1c8d0cdf9b829abfc"}}