{"as_of":"2026-08-09T19:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:85de240309dc0ac1ee02284539e9c7e6e55daef4ca50378f4336c3bb2d1d6382","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T23:04:12.325031Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2511.07938/citation-record","integrity":"/paper/2511.07938/integrity","json":"/paper/2511.07938/citation-record.json","paper":"/paper/2511.07938"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:09.776025Z","title":"Toward future green maritime transportation: An overview of seaport microgrids and all-electric ships,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:09.776025Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:821585c39c9cd65d1562ee1d3bce9518df6687be4921167c9f3a6ad86b811d08","observation_id":"8b110ad5-3ca9-4690-b964-fbf7279fae77","resolution":{"observed_at":"2026-08-03T23:04:09.776025Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:09.878989Z","title":"Optimal energy-logistics dispatch for seaport green vehicles: Leveraging reversible solid oxide cell energy system for sustainable energy,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:09.878989Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:7823a182d618e89ddb0666cffc5ab86de65571e461177f76cbad18aa15845f60","observation_id":"f8dd1ea7-5872-4741-918f-d0c8c200e35f","resolution":{"observed_at":"2026-08-03T23:04:09.878989Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:09.991613Z","title":"Collaborative scheduling of seaport integrated energy, logistics, and vessels: A bi-level Nash–Stackelberg–Nash game approach,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:09.991613Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:be80aded4e872a516ec05a9325cd3527aa673e974e01deccf32dee2d1afdc927","observation_id":"d5340f37-c605-4696-a4a9-a23b47b639bd","resolution":{"observed_at":"2026-08-03T23:04:09.991613Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:10.111163Z","title":"An adaptive MARL large model for dispatch strategy generation in logistics-energy spatiotemporal coordination of container seaports,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:10.111163Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:b9749b9ef45c10a827fd8e0971c3f855807a55ca6835c703d0183f3ffcec675c","observation_id":"b27663ca-8124-485f-88a9-977ecd0819be","resolution":{"observed_at":"2026-08-03T23:04:10.111163Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:10.230207Z","title":"Smart “predict, then optimize","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:10.230207Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:5b7c16862b3862b28d8234a9482da1f321cb6c06c422363a6da66314370f87dd","observation_id":"24b8d497-6e20-4214-8de2-9eba38a656c8","resolution":{"observed_at":"2026-08-03T23:04:10.230207Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:10.345268Z","title":"Decision-focused learning for power system decision-making under uncertainty,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:10.345268Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:68e9bbffbf9df66eb9655e27b0881bac56e789a17c4028c7b9168d923da79e07","observation_id":"1f891063-f8da-4f51-8ce1-bca874e3b42c","resolution":{"observed_at":"2026-08-03T23:04:10.345268Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:10.459611Z","title":"Distributed stochastic operation of low-carbon port energy-logistics systems via learning to warm-start,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:10.459611Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:a13f0e7abd35338d0fa10ad1e0aec4311fb1f39d337aaac430cd478b3e4efe23","observation_id":"41510884-3f66-49fd-b4fe-a42d24e35afc","resolution":{"observed_at":"2026-08-03T23:04:10.459611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:10.574490Z","title":"Decision-focused learning: Foundations, state of the art, benchmark and future opportunities,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:10.574490Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:f20b6ef026c9d8d5542234d15320d6d18022cca41b403538b35915629775773e","observation_id":"bddc6e5b-c147-443f-9f05-0250ea40f93b","resolution":{"observed_at":"2026-08-03T23:04:10.574490Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:10.694445Z","title":"Toward value-oriented renewable energy forecasting: An iterative learning approach,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:10.694445Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:718bee8a677528b2558da7c4e10ab1dce08edc5c8e39809f6a15c2d2a04c0b02","observation_id":"f84395df-9164-445a-b4fd-4f39585d050f","resolution":{"observed_at":"2026-08-03T23:04:10.694445Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:10.783513Z","title":"Feature-driven economic improvement for network-constrained unit commitment: A closed-loop predict-and-optimize framework,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:10.783513Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:d5c856c92dfbd0a4df9ab738f1ca20d752e56ed0bf9d9a0a2792024e852570d0","observation_id":"3c14b2ac-1706-47dd-9116-1ef30b11b684","resolution":{"observed_at":"2026-08-03T23:04:10.783513Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:10.920887Z","title":"Predict-and-optimize robust unit commitment with statistical guar- antees via weight combination,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:10.920887Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:63205902dbfc0c512ad1fcc91dde5b8161332fcc08e20a5f9615194e70dc1bb6","observation_id":"a75af1f1-3908-434f-b8fd-d51e0bf938bc","resolution":{"observed_at":"2026-08-03T23:04:10.920887Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:11.046258Z","title":"A task-based day-ahead load forecasting model for stochastic economic dispatch,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:11.046258Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:623f9563e8fa5e3e50b348058572493b3ecdd2fe15f4a9f18c097b303f39e9f1","observation_id":"3f25cef9-d7af-440e-9dbe-8c187388f1c7","resolution":{"observed_at":"2026-08-03T23:04:11.046258Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:11.173542Z","title":"Effective end-to-end learning framework for economic dispatch,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:11.173542Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:ad1c079efb504d44663e53e39d5fd7b05d316d904f29588bafd74e2d0feab969","observation_id":"00f9eccf-b0db-4637-8a18-9f8b6e764f0e","resolution":{"observed_at":"2026-08-03T23:04:11.173542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:11.313590Z","title":"End-to-end forecasting towards economic operation of microgrid using derivative-free learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:11.313590Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:1cf098abc04f9ab78af081c8359af3e2c47bef65bb4a5aa6a4cef9fa60b326e4","observation_id":"37deb154-31c6-44b8-8e80-d25912c40a18","resolution":{"observed_at":"2026-08-03T23:04:11.313590Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:11.410093Z","title":"An integrated approach for value-oriented energy forecasting and data-driven decision-making application to renewable energy trading,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:11.410093Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:c3601ebc419fb8c77267703a6534246ca80cea2afa6668bafca0e19cb74f7a83","observation_id":"384ecb0a-9683-4cd0-9012-1144ca9548ca","resolution":{"observed_at":"2026-08-03T23:04:11.410093Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:11.452446Z","title":"Prescriptivetreesforintegratedforecasting and optimization applied in trading of renewable energy,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:11.452446Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:86429477b8385fb1c88d4682ae8662921f8c2c1f149880328314e6d49b539c4a","observation_id":"733808e9-4df4-4f90-99d7-f75ab9a7fc27","resolution":{"observed_at":"2026-08-03T23:04:11.452446Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:11.522544Z","title":"Cost-oriented prediction intervals: On bridging the gap between forecasting and decision,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:11.522544Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:320ac92c5c417d21ca1abc19773f24f67f3b14b987a868f9d46a3fc3a5416cb4","observation_id":"9e47b56c-6879-4238-98d5-d4980eb8882a","resolution":{"observed_at":"2026-08-03T23:04:11.522544Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:11.582496Z","title":"Electricity price prediction for energy storage system arbitrage: A decision-focused approach,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:11.582496Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:6de236bdf5b18b2cf582e735af4c901c41ade86736473d1d0d7340ad18cc9a03","observation_id":"950eae9c-b56c-4160-9414-71852bf30d9b","resolution":{"observed_at":"2026-08-03T23:04:11.582496Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:11.618333Z","title":"Perturbed decision-focused learning for modeling strategic energy storage,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:11.618333Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:eeb16294e08842faa897cf066ee3f94ca8d0eb38cf86aca1004a8aff91dd51c6","observation_id":"08bd8c7b-306c-41b7-85fa-a0ca78875893","resolution":{"observed_at":"2026-08-03T23:04:11.618333Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:11.696484Z","title":"Load data valuation in multi-energy systems: An end-to-end approach,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:11.696484Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:6fe08a0a9f1e2d78cd5c3b176c9b3c1bb4f3c6cecc70a22e1da5b4512bd855d8","observation_id":"22f95571-9fd5-4f03-a7dc-e5e42fcc2dfd","resolution":{"observed_at":"2026-08-03T23:04:11.696484Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:11.727521Z","title":"Multi-task predict-then-optimize,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:11.727521Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:470c854ebc38592d1342de05bf9c6317f6bce8dfe2e617b57b4385e8c0119922","observation_id":"3f2cdd38-46af-41ee-960e-186b450272fb","resolution":{"observed_at":"2026-08-03T23:04:11.727521Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.07772","last_updated":"2024-02-12T16:33:35Z","snapshot_observed_at":"2026-08-09T16:43:40.846620Z","submitted_at":"2024-02-12T16:33:35Z","title":"End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.07772","snapshot_observed_at":"2026-08-03T23:04:11.801288Z","title":"End-to-end learning for fair multiobjective optimization under uncertainty,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:11.801288Z"},"links":{"cited_paper":"/paper/2402.07772","citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:9d5fe98d4aa7dfc341e983c161aaea37ae0ac839a24cbe887af78c27555792c0","observation_id":"0b59090a-cb8f-4d57-849d-817c899a94bd","resolution":{"observed_at":"2026-08-03T23:04:11.801288Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.13501","last_updated":"2023-12-21T00:35:42Z","snapshot_observed_at":"2026-07-06T17:06:16.961248Z","submitted_at":"2023-12-21T00:35:42Z","title":"Adaptive Decision-Objective Loss for Forecast-then-Optimize in Power Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.13501","snapshot_observed_at":"2026-08-03T23:04:11.848517Z","title":"Adaptive decision-objective loss for forecast-then-optimize in power systems,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:11.848517Z"},"links":{"cited_paper":"/paper/2312.13501","citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:5e678b0f3a6ee9c8fed54f67e6fc87b0bb14e81b985ac1fbcd552e7d230cbe7f","observation_id":"4ad563c2-5854-4abd-9a22-f66275a9fabc","resolution":{"observed_at":"2026-08-03T23:04:11.848517Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.21147","last_updated":"2025-02-28T15:28:12Z","snapshot_observed_at":"2026-08-09T08:48:09.229992Z","submitted_at":"2025-02-28T15:28:12Z","title":"Same accuracy, twice as fast: continuous training surpasses retraining from scratch","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.21147","snapshot_observed_at":"2026-08-03T23:04:11.900290Z","title":"Same accuracy, twice as fast: Continuous training surpasses retraining from scratch,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:11.900290Z"},"links":{"cited_paper":"/paper/2502.21147","citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:dcf8a620b8351e9570b0fe69bba3381d61d0f26398e7eab2d270715ee4de28ba","observation_id":"9f2e6a25-34e3-4110-a488-93743dca2ada","resolution":{"observed_at":"2026-08-03T23:04:11.900290Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:11.962416Z","title":"OptNet: Differentiable optimization as a layer in neural networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:11.962416Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:abeb6f6919d53e72592980be072ac85f25fa5c6f9c54dd9d58b042aa5c6f78d7","observation_id":"9b63bec2-1177-47cb-9ae4-c7a05f038aa2","resolution":{"observed_at":"2026-08-03T23:04:11.962416Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:12.010989Z","title":"Overcoming catastrophic forgetting in neural networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:12.010989Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:1b64dc77d7fcc159932fbfc83b70c3dcf97f0d73a55f2f805868f2bf328de594","observation_id":"63a7744d-8a09-4cd2-a494-8c93edd5dffa","resolution":{"observed_at":"2026-08-03T23:04:12.010989Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:12.052464Z","title":"Overcoming catastrophic forgetting in graph neural networks with experience replay,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:12.052464Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:a7e7a1d61a78bd232a3b4a1d1a80cc83dc7eb00a2d0546e2b9fa9de2e0c2045b","observation_id":"1e34ccc3-8ce7-4126-8b4e-c73f5ae41701","resolution":{"observed_at":"2026-08-03T23:04:12.052464Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:12.119188Z","title":"Softmax Backpropagation: A Smooth Approximation for Top-kSelection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:12.119188Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:058a743e880ca4ea3e5658bc3decadde3110416889a55381189f87c7a4fc0dad","observation_id":"fec9dc29-249b-4cd0-8bd6-9e2cb583e554","resolution":{"observed_at":"2026-08-03T23:04:12.119188Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:12.160443Z","title":"Differentiable convex opti- mization layers,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:12.160443Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:857c4a73bb81a8627358f3a9b56239125f58e3d79226a0c9ebcedf2163101ea2","observation_id":"f2c0202b-82fc-483a-8f84-a453475cd1d6","resolution":{"observed_at":"2026-08-03T23:04:12.160443Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:12.226272Z","title":null,"venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:12.226272Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:46b6976810f5cab6f75c3edfe6a8bf165f1b13f8399ace5f6e9b6f097a34a235","observation_id":"85a1cc7e-1382-42f2-8013-6cc3022ca38c","resolution":{"observed_at":"2026-08-03T23:04:12.226272Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:12.290894Z","title":"The hybrid renewable energy forecasting and trading competition 2024,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:12.290894Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:8b5e85ac95721745a14cd76481c479851f6bd2d0699c858128a5aa3214f20c05","observation_id":"0c037b95-ff68-413e-b175-7da40ea12ece","resolution":{"observed_at":"2026-08-03T23:04:12.290894Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:04:12.325031Z","title":"Probabilistic energy forecasting: Global energy forecasting competition 2014 and beyond,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks","version":4},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-03T23:04:12.325031Z"},"links":{"citing_paper":"/paper/2511.07938"},"observation_digest":"sha256:0861bf52ff9bbbf6353c643bdcfeecf3b98ca61a6fd1abe028b36a14c09dbacf","observation_id":"c85cda71-5d6b-4d64-9ded-29682e17c7a0","resolution":{"observed_at":"2026-08-03T23:04:12.325031Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2511.07938","last_updated":"2026-06-19T15:48:44Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-03T23:04:08.867025Z","submitted_at":"2025-11-11T07:36:08Z","title":"Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":2,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":30,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":32},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2511.07938."}