{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:W2ZKWKJL4ANDJ3DPA5VMUXUYFB","short_pith_number":"pith:W2ZKWKJL","canonical_record":{"source":{"id":"2511.07938","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-11-11T07:36:08Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"58065a7a84caac8311f83e4e45e4df76ef4725728d55e58dfc7772787166a615","abstract_canon_sha256":"5943495e48a49e6469f77e0423d85decd75dcc7894d472c8b0fc1f79d97b8981"},"schema_version":"1.0"},"canonical_sha256":"b6b2ab292be01a34ec6f076aca5e98286df8ec9e7d7b16da1cced1007599b5fc","source":{"kind":"arxiv","id":"2511.07938","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2511.07938","created_at":"2026-06-09T01:05:10Z"},{"alias_kind":"arxiv_version","alias_value":"2511.07938v3","created_at":"2026-06-09T01:05:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.07938","created_at":"2026-06-09T01:05:10Z"},{"alias_kind":"pith_short_12","alias_value":"W2ZKWKJL4AND","created_at":"2026-06-09T01:05:10Z"},{"alias_kind":"pith_short_16","alias_value":"W2ZKWKJL4ANDJ3DP","created_at":"2026-06-09T01:05:10Z"},{"alias_kind":"pith_short_8","alias_value":"W2ZKWKJL","created_at":"2026-06-09T01:05:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:W2ZKWKJL4ANDJ3DPA5VMUXUYFB","target":"record","payload":{"canonical_record":{"source":{"id":"2511.07938","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-11-11T07:36:08Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"58065a7a84caac8311f83e4e45e4df76ef4725728d55e58dfc7772787166a615","abstract_canon_sha256":"5943495e48a49e6469f77e0423d85decd75dcc7894d472c8b0fc1f79d97b8981"},"schema_version":"1.0"},"canonical_sha256":"b6b2ab292be01a34ec6f076aca5e98286df8ec9e7d7b16da1cced1007599b5fc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T01:05:10.520780Z","signature_b64":"vSnPFPsJb3kibgoDWo9AhGZehBfIlVcpQsZixININmA5GDu3tqLvzfq7kDCmiYKU48mmGqddRrJs9jPmWAq8BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b6b2ab292be01a34ec6f076aca5e98286df8ec9e7d7b16da1cced1007599b5fc","last_reissued_at":"2026-06-09T01:05:10.520274Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T01:05:10.520274Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2511.07938","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-09T01:05:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p2VSNdlTKRYQQD4Eu37gc5dNOOLPQO6wu0ZMZVXShbCKUTLy74p8Cdub62nKkPAj4nuYfJ1uSSR2fkOgbzoOCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T02:44:07.954399Z"},"content_sha256":"ba022fa93d872613ec46fbfc3dcc1115ee2d146a248d8f243a4cc22bc734f3e3","schema_version":"1.0","event_id":"sha256:ba022fa93d872613ec46fbfc3dcc1115ee2d146a248d8f243a4cc22bc734f3e3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:W2ZKWKJL4ANDJ3DPA5VMUXUYFB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY","eess.SY"],"primary_cat":"cs.LG","authors_text":"Chuanqing Pu, Feilong Fan, Honglin Wen, Nengling Tai, Wentao Huang, Yan Xu","submitted_at":"2025-11-11T07:36:08Z","abstract_excerpt":"Power-logistics scheduling in modern seaports typically follows a predict-then-optimize pipeline. To enhance the decision quality of predictions, decision-focused learning has been proposed, which aligns the training of forecasting models with downstream decision outcomes. However, this end-to-end design inherently restricts the value of forecasting models to a specific task structure and therefore generalizes poorly to evolving tasks induced by varying vessel arrivals. We address this gap with a decision-focused continual learning framework that adapts online to a stream of scheduling tasks. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.07938","kind":"arxiv","version":3},"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/2511.07938/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":"2026-06-09T01:05:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gd+wLqDyCXBxX0bx2DrEQq0xp0Tjrbopcfip0ACsU93jPJ54OwSw/7sBcUd498AkXBCF73VWBqEqFu/lLE2lDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T02:44:07.954779Z"},"content_sha256":"0e27f16bb3d64e4cbadd2f54d0ca33663f9e6379db8d280800b3f97000596321","schema_version":"1.0","event_id":"sha256:0e27f16bb3d64e4cbadd2f54d0ca33663f9e6379db8d280800b3f97000596321"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W2ZKWKJL4ANDJ3DPA5VMUXUYFB/bundle.json","state_url":"https://pith.science/pith/W2ZKWKJL4ANDJ3DPA5VMUXUYFB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W2ZKWKJL4ANDJ3DPA5VMUXUYFB/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":"2026-06-24T02:44:07Z","links":{"resolver":"https://pith.science/pith/W2ZKWKJL4ANDJ3DPA5VMUXUYFB","bundle":"https://pith.science/pith/W2ZKWKJL4ANDJ3DPA5VMUXUYFB/bundle.json","state":"https://pith.science/pith/W2ZKWKJL4ANDJ3DPA5VMUXUYFB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W2ZKWKJL4ANDJ3DPA5VMUXUYFB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:W2ZKWKJL4ANDJ3DPA5VMUXUYFB","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":"5943495e48a49e6469f77e0423d85decd75dcc7894d472c8b0fc1f79d97b8981","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-11-11T07:36:08Z","title_canon_sha256":"58065a7a84caac8311f83e4e45e4df76ef4725728d55e58dfc7772787166a615"},"schema_version":"1.0","source":{"id":"2511.07938","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2511.07938","created_at":"2026-06-09T01:05:10Z"},{"alias_kind":"arxiv_version","alias_value":"2511.07938v3","created_at":"2026-06-09T01:05:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.07938","created_at":"2026-06-09T01:05:10Z"},{"alias_kind":"pith_short_12","alias_value":"W2ZKWKJL4AND","created_at":"2026-06-09T01:05:10Z"},{"alias_kind":"pith_short_16","alias_value":"W2ZKWKJL4ANDJ3DP","created_at":"2026-06-09T01:05:10Z"},{"alias_kind":"pith_short_8","alias_value":"W2ZKWKJL","created_at":"2026-06-09T01:05:10Z"}],"graph_snapshots":[{"event_id":"sha256:0e27f16bb3d64e4cbadd2f54d0ca33663f9e6379db8d280800b3f97000596321","target":"graph","created_at":"2026-06-09T01:05:10Z","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/2511.07938/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Power-logistics scheduling in modern seaports typically follows a predict-then-optimize pipeline. To enhance the decision quality of predictions, decision-focused learning has been proposed, which aligns the training of forecasting models with downstream decision outcomes. However, this end-to-end design inherently restricts the value of forecasting models to a specific task structure and therefore generalizes poorly to evolving tasks induced by varying vessel arrivals. We address this gap with a decision-focused continual learning framework that adapts online to a stream of scheduling tasks. ","authors_text":"Chuanqing Pu, Feilong Fan, Honglin Wen, Nengling Tai, Wentao Huang, Yan Xu","cross_cats":["cs.SY","eess.SY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.07938","kind":"arxiv","version":3},"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:ba022fa93d872613ec46fbfc3dcc1115ee2d146a248d8f243a4cc22bc734f3e3","target":"record","created_at":"2026-06-09T01:05:10Z","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":"5943495e48a49e6469f77e0423d85decd75dcc7894d472c8b0fc1f79d97b8981","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-11-11T07:36:08Z","title_canon_sha256":"58065a7a84caac8311f83e4e45e4df76ef4725728d55e58dfc7772787166a615"},"schema_version":"1.0","source":{"id":"2511.07938","kind":"arxiv","version":3}},"canonical_sha256":"b6b2ab292be01a34ec6f076aca5e98286df8ec9e7d7b16da1cced1007599b5fc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b6b2ab292be01a34ec6f076aca5e98286df8ec9e7d7b16da1cced1007599b5fc","first_computed_at":"2026-06-09T01:05:10.520274Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-09T01:05:10.520274Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vSnPFPsJb3kibgoDWo9AhGZehBfIlVcpQsZixININmA5GDu3tqLvzfq7kDCmiYKU48mmGqddRrJs9jPmWAq8BA==","signature_status":"signed_v1","signed_at":"2026-06-09T01:05:10.520780Z","signed_message":"canonical_sha256_bytes"},"source_id":"2511.07938","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ba022fa93d872613ec46fbfc3dcc1115ee2d146a248d8f243a4cc22bc734f3e3","sha256:0e27f16bb3d64e4cbadd2f54d0ca33663f9e6379db8d280800b3f97000596321"],"state_sha256":"b5d68f190c33c24a558e9c30becb01757be37f9c765cdd99a16e5c242c0648b6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZABRMpaZnMqnA8LxOSV9FY8B30bVTr40z3uUfyKJpxRRoevRcb4dim8YoULfYalgc2A+wKK7hLaMdeoBrzK4Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-24T02:44:07.956943Z","bundle_sha256":"9e19e60560637f96f20fec165b299631b73ea8369c34d485440565cf9a8db2bc"}}