{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:ZA7R7472WS5SHB7EOHM6LRWZRU","short_pith_number":"pith:ZA7R7472","schema_version":"1.0","canonical_sha256":"c83f1ff3fab4bb2387e471d9e5c6d98d102abfe14bd669d1502b4379fe5cfe4a","source":{"kind":"arxiv","id":"2601.08013","version":2},"attestation_state":"computed","paper":{"title":"Beyond the Next Port: A Multi-Task Transformer for Forecasting Future Voyage Segment Durations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Fang He, Nairui Liu, Xindi Tang, Yineng Wang","submitted_at":"2026-01-12T21:32:05Z","abstract_excerpt":"Accurate forecasts of segment-level sailing durations are fundamental to enhancing maritime schedule reliability and optimizing long-term port operations. However, conventional estimated time of arrival (ETA) models are primarily designed for the immediate next port of call and rely heavily on real-time automatic identification system (AIS) data, which is inherently unavailable for future voyage segments. To address this gap, the study reformulates future-port ETA prediction as a segment-level time-series forecasting problem. We develop a transformer-based architecture that integrates historic"},"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":"2601.08013","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-01-12T21:32:05Z","cross_cats_sorted":[],"title_canon_sha256":"ca355c0a0185a2e77af62bd4a28ed637d3deafdc76d5d5d2eeba2a107d92e66a","abstract_canon_sha256":"eb6361bd8a185276eb2abbb47ad1a5c7d1b6f0f1d122ebefd0deb90ffb3c2a65"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:03:02.010533Z","signature_b64":"zER1zR/xM3w+IbkxeGZAbCn8PtGtR8jcj53x+pyUyGOY+WUEzmtqjJZ2hbBQHPxUT/cwP8RNNJS6J5CnsstjCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c83f1ff3fab4bb2387e471d9e5c6d98d102abfe14bd669d1502b4379fe5cfe4a","last_reissued_at":"2026-05-20T00:03:02.009808Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:03:02.009808Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Beyond the Next Port: A Multi-Task Transformer for Forecasting Future Voyage Segment Durations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Fang He, Nairui Liu, Xindi Tang, Yineng Wang","submitted_at":"2026-01-12T21:32:05Z","abstract_excerpt":"Accurate forecasts of segment-level sailing durations are fundamental to enhancing maritime schedule reliability and optimizing long-term port operations. However, conventional estimated time of arrival (ETA) models are primarily designed for the immediate next port of call and rely heavily on real-time automatic identification system (AIS) data, which is inherently unavailable for future voyage segments. To address this gap, the study reformulates future-port ETA prediction as a segment-level time-series forecasting problem. We develop a transformer-based architecture that integrates historic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.08013","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/2601.08013/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":"2601.08013","created_at":"2026-05-20T00:03:02.009910+00:00"},{"alias_kind":"arxiv_version","alias_value":"2601.08013v2","created_at":"2026-05-20T00:03:02.009910+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.08013","created_at":"2026-05-20T00:03:02.009910+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZA7R7472WS5S","created_at":"2026-05-20T00:03:02.009910+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZA7R7472WS5SHB7E","created_at":"2026-05-20T00:03:02.009910+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZA7R7472","created_at":"2026-05-20T00:03:02.009910+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ZA7R7472WS5SHB7EOHM6LRWZRU","json":"https://pith.science/pith/ZA7R7472WS5SHB7EOHM6LRWZRU.json","graph_json":"https://pith.science/api/pith-number/ZA7R7472WS5SHB7EOHM6LRWZRU/graph.json","events_json":"https://pith.science/api/pith-number/ZA7R7472WS5SHB7EOHM6LRWZRU/events.json","paper":"https://pith.science/paper/ZA7R7472"},"agent_actions":{"view_html":"https://pith.science/pith/ZA7R7472WS5SHB7EOHM6LRWZRU","download_json":"https://pith.science/pith/ZA7R7472WS5SHB7EOHM6LRWZRU.json","view_paper":"https://pith.science/paper/ZA7R7472","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2601.08013&json=true","fetch_graph":"https://pith.science/api/pith-number/ZA7R7472WS5SHB7EOHM6LRWZRU/graph.json","fetch_events":"https://pith.science/api/pith-number/ZA7R7472WS5SHB7EOHM6LRWZRU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZA7R7472WS5SHB7EOHM6LRWZRU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZA7R7472WS5SHB7EOHM6LRWZRU/action/storage_attestation","attest_author":"https://pith.science/pith/ZA7R7472WS5SHB7EOHM6LRWZRU/action/author_attestation","sign_citation":"https://pith.science/pith/ZA7R7472WS5SHB7EOHM6LRWZRU/action/citation_signature","submit_replication":"https://pith.science/pith/ZA7R7472WS5SHB7EOHM6LRWZRU/action/replication_record"}},"created_at":"2026-05-20T00:03:02.009910+00:00","updated_at":"2026-05-20T00:03:02.009910+00:00"}