{"as_of":"2026-08-09T23:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ed54e3c95ae3b8dbaaed49dd180406834f13f0308ee44d3f7017f97d1a91a2e2","coverage":[{"denominator":64,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":64,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T19:46:55.148691Z","state":"measured"},{"denominator":64,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":64,"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/2605.26776/citation-record","integrity":"/paper/2605.26776/integrity","json":"/paper/2605.26776/citation-record.json","paper":"/paper/2605.26776"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T19:46:55.148691Z","title":"Vehicle routing problem and related algorithms for logistics distribution: A literature review and classification,","venue":null,"work_id":null,"year":2033},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:68d244b2de1262c461db6da6ae3eef69d463ceb0ebe9291ddb50968922cdf860","observation_id":"37e75d3c-29a0-479c-b005-6e9796e71d52","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"A review on learning to solve combinatorial optimisation problems in manufacturing,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:32c743d1d9a2ef0ebd06222c92c5d76769ab8b0aa0306d5f50a1d1139102f3f4","observation_id":"19d45bdb-6daa-4fac-8495-c669d87aee5b","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Neural air- port ground handling,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:6e7688439a3ced6a4289b6417eed41e2583d1a2fd75fca91eaf4ed3da41e84d6","observation_id":"bc3a51a6-c1ea-46f4-bfd4-34bc0902ec47","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Machine learning for combinato- rial optimization: a methodological tour d’horizon,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:378cb9d132b180754661a5b1d585e1b1a8667a5e9476998d98eb5d073973bff8","observation_id":"528edac6-907a-4605-88ca-320bc5cb6cf3","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Attention, learn to solve routing problems!","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:e01c5ac1bfdf1386bfa2c8f8227546a047f8fab267c1d4c54a66c5e0358d1176","observation_id":"da11a4de-df45-417a-be63-5527cb6e08f9","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Pomo: Policy optimization with multiple optima for reinforcement learning,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:b5f3975bf0e66b439447a1428f62da6fcc8861d668e5b537a98b5c747f2dcba0","observation_id":"77bdef0b-3200-4c50-bfe0-ff9da61adf37","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"New benchmark instances for the capacitated vehicle routing problem,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:0f31582686fc159e1827399297837a38be72a729f6ed27a25a3cf5198e0e3ac8","observation_id":"3ab7de3d-4626-4795-8135-1cd0a359445e","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Tsplib—a traveling salesman problem library,","venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:4a6aecf77f1fd32c4d8cd15a8a7d53bfea79ed64905ec0dbf5a090e98f48207d","observation_id":"e46562f3-f78f-4afa-9d08-53923039f8f7","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Learning the travelling salesperson problem requires rethinking generalization,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:612d97f527e74ac0d87869b80377e6d183ffc895e64e37c6f7ff8075b3030d7f","observation_id":"9289dc6e-b412-48a6-b861-0f3d28918105","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Learning to solve routing problems via distributionally robust optimization,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:70d476ae40638507bb536e484359a8177ae0669764450695e617992ffefd8581","observation_id":"471a43fb-c878-4cb7-918f-5c4923d56b1d","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Learning generalizable models for vehicle routing problems via knowl- edge distillation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:c7f07d7aa95bf03c6efae74248cbd86879e7047b689a4422abe52c316877bb8c","observation_id":"2a551c18-c15e-4a8d-9678-4e3948f54f47","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Ensemble-based deep reinforcement learning for vehicle routing problems under distribution shift,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:e5d6acd07b1ef695ca0b46e148fee03e7bcfdc1637bde3c938897fad611dc6fe","observation_id":"3f40bf34-17c4-48b0-abce-5bdd84c37144","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Towards generalizable neural solvers for vehicle routing problems via ensemble with trans- ferrable local policy,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:e400f4f50f7590ec5e46410da1690b831c9b2501ec4998fd84379f223642d891","observation_id":"d33be8fd-2d9b-4f81-9f64-911fb03d3ae9","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"On the generalization of neural combinatorial optimization heuristics,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:30c3b8c4ceda58bdb617aa0581fd1b680939edad644133754d66ee3b61fc1825","observation_id":"93d1f2ee-5089-4315-88aa-9c16e93cc54b","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Towards omni- generalizable neural methods for vehicle routing problems,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:991273da730cd87606d732f1ea60f017e13ac24787c810317aea74d49f9e76a7","observation_id":"95f77a28-b59f-4a31-bb42-082c7d060fd3","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":"2407.21783","doi":"10.1016/s0749-0720(15","metadata_source":"pith","pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"The Llama 3 Herd of Models","venue":"cs.AI","work_id":"1549a635-88af-4ac1-acfe-51ae7bb53345","year":2024},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:d20d40a946a46585bb39641f8b15dbd2afee03475800e9153666cd8c7a6791fa","observation_id":"b3888d4c-ebe2-457e-88f9-9f9c0e384948","resolution":{"observed_at":"2026-06-29T19:53:55.829000Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":"2303.08774","doi":"10.1002/tea.20265","metadata_source":"pith","pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"GPT-4 Technical Report","venue":"cs.CL","work_id":"b928e041-6991-4c08-8c81-0359e4097c7b","year":2023},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:98b289a42bcf060463f712aad740083f1b11b2b0a1d83e389e01caae6cadd628","observation_id":"84c0efc7-deba-440d-86a7-bbfb9847c5f9","resolution":{"observed_at":"2026-06-29T19:53:55.826615Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19437","last_updated":"2025-02-18T17:26:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-27T04:03:16Z","title":"DeepSeek-V3 Technical Report","version":2},"cited_work":{"arxiv_id":"2412.19437","doi":"10.1016/j.neucom.2023.127063.url:https://www.sciencedirect","metadata_source":"pith","pith_arxiv_id":"2412.19437","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"DeepSeek-V3 Technical Report","venue":"cs.CL","work_id":"57d2791d-2219-4c31-a077-afc04b12a75c","year":2024},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"cited_paper":"/paper/2412.19437","citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:fe23689e79a2be4ba9a610b10c019054946967c36a6acd0c6bd0b46d47310aa3","observation_id":"28ee28ba-0df9-46e2-96c6-33b21cd3d7ef","resolution":{"observed_at":"2026-06-29T19:53:55.820943Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T19:46:55.148691Z","title":"Pointer networks,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:beb426793bf40110a2fbf9535e7dfa623d7f0b0e8e9a214e42eed51a3060a83e","observation_id":"d8f7995c-a60d-4d95-b902-cb5a7f6ae49a","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Neural com- binatorial optimization with reinforcement learning,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:3a5d084e68f5b1893f781d4ed1c2a15fafd2b83b96d4c195132135ff331ebfc8","observation_id":"5c924f72-32e2-48c6-a5f7-cb43da1fdf73","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Reinforcement learning for solving the vehicle routing problem,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:6ab65b9c119e404e1b052cf91840eece7c447eace1dabf0f283caebf85120ab5","observation_id":"b991fd47-475a-47bd-8ffe-d516e02cd14e","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:ed916f63d3fcf696e492b92241604fa6a0ebc70f5a9245cd488257f75e3191b1","observation_id":"b2599cdb-b6c5-4470-b3b1-dde91ac31817","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Learning combinatorial optimization algorithms over graphs,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:1f2dd903793778fea027cb18d058601db374a19c15a80eb627bb2ae74f613184","observation_id":"a3eecc86-d38f-4eb9-a8fb-f788ed5abcc9","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01227","last_updated":"2019-10-14T11:31:45Z","snapshot_observed_at":"2026-08-06T10:54:26.264740Z","submitted_at":"2019-06-04T06:51:45Z","title":"An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem","version":2},"cited_work":{"arxiv_id":"1906.01227","doi":"10.48550/arxiv.1906.01227","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01227","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An efficient graph convolutional network technique for the travelling salesman problem","venue":"arXiv (Cornell University)","work_id":"0f1c5a45-cd76-4c8e-9fa5-8eabcff91de7","year":1906},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"cited_paper":"/paper/1906.01227","citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:c65a29e727d6919381c2a772494eda6aac3acb6cb1a9202f5294c6fcaa709bcf","observation_id":"9545370f-e7e3-44f3-ac6f-1cbbff1fb619","resolution":{"observed_at":"2026-06-29T19:53:55.825864Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T19:46:55.148691Z","title":"Generalize a small pre-trained model to arbitrarily large tsp instances,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:4812b513ecf7663e8dea332fa495a81919d1fb6a1a0b347aa0ab2a4db85bddf3","observation_id":"a606296a-85be-4afe-8e66-20205f0ec839","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Deep policy dynamic programming for vehicle routing problems,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:ebfd96f45f74889dbe3fb6f9f9d0b2dde9a7929df127e6b45aba01107b652984","observation_id":"9d0e84bb-ad69-4731-94b5-06b6534357fe","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Neural large neighborhood search for the capacitated vehicle routing problem,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:d509bbf398b3866c5e92704e1fc0bb1d48327688eb026a9f14faec15e16d063f","observation_id":"1f50ba27-17c6-4e9f-9456-754c2bf5367f","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Graph neural network guided local search for the traveling salesperson problem,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:78ed8baaf82126ded328cf2555322f96793fa23048eeaaeaf83fe1480520aa5b","observation_id":"019ca9d1-0136-4bac-83d5-3259c9cfb902","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Neurolkh: Combining deep learning model with lin-kernighan-helsgaun heuristic for solving the traveling salesman problem,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:27eb4bdfd499947ec7277439c0e4ff1136543ec9ba544cac1b23733ed7b055ba","observation_id":"d549a766-c11c-467c-80ed-adaa7b88c688","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Learning 2- opt heuristics for the traveling salesman problem via deep reinforcement learning,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:a8d8eb78abfd35841fa682ceebb0e7df49b4254b6394bdc7db2e25a2bccb2647","observation_id":"35d5d045-30ba-4ade-ad69-4fb1ebf3f2bd","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Learning 3-opt heuristics for traveling salesman problem via deep reinforcement learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:b3cac9883cfebf4f382a767a4f8b3bbdf33abc2de048a785f0e03dbb589030f2","observation_id":"efbe054d-c3f7-4a5f-8948-dba6bb41245e","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Learning to search feasible and infea- sible regions of routing problems with flexible neural k-opt,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:41e83742ea814869f6ec96d73ef528c3e23e63578570d77771e934dd9b137808","observation_id":"61516d0d-7734-4a19-beed-37c4119dc559","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Deep reinforcement learning for multi-period facility location pk-median dynamic location problem,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:3cc7c65c9eb7a344841b3b41c5b7d6a69d4d6327b3615d8e586cc3ef180c7e53","observation_id":"6bb514d6-969a-4c8e-a4c1-a184bfdf81c2","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Learning to dispatch for job shop scheduling via deep reinforcement learning,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:4b8faae153f15982d8dc3a6c144969d90ccec74c0f6ac93062884829c97f7a57","observation_id":"480d8356-50c0-4254-a99e-7fede3b17c64","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2511.02525","last_updated":"2026-05-26T09:29:42Z","snapshot_observed_at":"2026-08-04T00:14:31.458738Z","submitted_at":"2025-11-04T12:23:17Z","title":"An End-to-End Learning Approach for Solving Capacitated Location-Routing Problems","version":2},"cited_work":{"arxiv_id":"2511.02525","doi":null,"metadata_source":"pith","pith_arxiv_id":"2511.02525","snapshot_observed_at":"2026-06-29T19:53:55.830531Z","title":"An End-to-End Learning Approach for Solving Capacitated Location-Routing Problems","venue":"cs.LG","work_id":"6e30bad2-6085-4ca4-beea-23ecd6f279fd","year":2025},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"cited_paper":"/paper/2511.02525","citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:a9eb72d9d42c5ca81dfc58b57f0264a9a148106b73b7758271b3295ee274c138","observation_id":"a1780a8a-3008-47bb-86af-dd49e95cd514","resolution":{"observed_at":"2026-06-29T19:53:55.833062Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T19:46:55.148691Z","title":"Distance-aware attention reshaping for enhancing generalization of neural solvers,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:9026cefc8f8ed76662e9049af17745f39d73f35b4aad9b30bb1b82784559b918","observation_id":"cc1670e3-5280-492a-becb-2acb6099d134","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Sym-nco: Leveraging symmetricity for neural combinatorial optimization,","venue":null,"work_id":null,"year":1936},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:148f4eb6bc3044a9fe0beeb1d15873aa9a3f355a7630e895bfca155430942758","observation_id":"9f54b6c4-adfa-4a2e-b1c1-2d36388bb64d","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Generalize learned heuristics to solve large-scale vehicle routing problems in real-time,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:65270f91738bc01e2b740afde3877a0d7fac6dea308eef3bd2fe55ad9c6151f1","observation_id":"b8d84d0a-f893-419c-ae26-20ce924bd003","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Meta-sage: Scale meta-learning scheduled adaptation with guided exploration for mitigating scale shift on combinatorial optimization,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:cea8d49c5b1a4a74c618bdb8c5d2d15e5b323228ea460a39abfe121186fef615","observation_id":"eef8f954-e854-4bf9-8144-e97d0ecf0712","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Neural combinatorial optimization with heavy decoder: Toward large scale generalization,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:43420862074875f6306d0e35d0516bebacfad7531ca9bb08baa6227566d15f3f","observation_id":"c67023be-9262-4d3f-a4ee-19ec03e98907","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Bq- nco: Bisimulation quotienting for generalizable neural combinatorial optimization,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:e86bc5027ba1381b91d0866f1183eda0c07d497d9bd77ebd7f5d5631bcff8335","observation_id":"d2717feb-9972-47fc-b484-64f00df566dd","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Multi-task learning for routing problem with cross-problem zero-shot generalization,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:fdaa7c0d7aed08b420f9e2c60996b3fe5c8c1fab840d62a14d8193363eabe340","observation_id":"3d0f1f94-eedb-4817-a069-ad836fc4c344","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Mvmoe: Multi-task vehicle routing solver with mixture-of-experts,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:8938fb80d3300bb4715c6164960496deffe6b76f2d21847569e6e462191711fa","observation_id":"15799706-755b-4dfb-8f5f-d5c896b9d7b4","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Adaptive mixtures of local experts,","venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:9c9de0fbd8b2f14752f98d9b1a6294755d73115dc6a2c2d29d8a9ab019849cb1","observation_id":"f250856f-0d39-47bc-a46c-8ceebdb3b4cb","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Hierarchical mixtures of experts and the em algorithm,","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:b807171b4b4fdfd3f851abd16af3e68d94e80931c6eeff1d6168e76315421e69","observation_id":"74c9988f-7799-48ea-b4d1-5f9d9f760f7b","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Outrageously large neural networks: The sparsely- gated mixture-of-experts layer,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:baa3c987e793d513f4529c75309a0aa6828cfae56ea44768ade874eeb12eb13e","observation_id":"6a572132-835c-4a43-be54-48cb063ea0ed","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:ff58d49d80aa7e72142d8032fcaff3e39f6a31b42b7f275b9e11a7ca90e54d0a","observation_id":"abd8d5db-343e-497d-9cdd-db739d701403","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Mixture-of-experts with expert choice routing,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:9f6927a149e2b2fe2ab1ee352d73e8d3b17c358dc97bcd528a4e904caa6bed4c","observation_id":"54c21d5e-2098-4041-935a-e58ce4ad6b05","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"From sparse to soft mixtures of experts,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:6626ae5e947a661de5824742bcd9dd1e4b2535dda4532b9d7ae55c1dbc55eddf","observation_id":"1074c244-b656-4dc7-8f8b-b3310b31c86c","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01739","last_updated":"2024-03-27T10:21:24Z","snapshot_observed_at":"2026-08-02T08:17:59.108390Z","submitted_at":"2024-01-29T12:05:02Z","title":"OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models","version":2},"cited_work":{"arxiv_id":"2402.01739","doi":"10.48550/arxiv:2402.01739","metadata_source":"pith","pith_arxiv_id":"2402.01739","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Fuzhao Xue, Zian Zheng, Yao Fu, Jinjie Ni, Zangwei Zheng, Wangchunshu Zhou, and Yang You","venue":"cs.CL","work_id":"ca1243f1-24f2-476a-b210-a02a4d877f56","year":2024},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"cited_paper":"/paper/2402.01739","citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:da6ed08a957f51f23842f5fd3fe8525bfc33f1e2ef861484177d8ec1c83f16a5","observation_id":"161392c1-d6cb-4098-9828-1d83089bb7ff","resolution":{"observed_at":"2026-06-29T19:53:55.835615Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T19:46:55.148691Z","title":"Base layers: Simplifying training of large, sparse models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:565592ddfa5028676621c96eb4a0293a8decb212dc676e8776e068a759422d3b","observation_id":"e6f4a29e-ef7f-4627-863e-becadf4c3168","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.14397","last_updated":"2022-10-09T12:32:34Z","snapshot_observed_at":"2026-08-01T20:40:28.453199Z","submitted_at":"2021-12-29T04:52:14Z","title":"EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate","version":2},"cited_work":{"arxiv_id":"2112.14397","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.14397","snapshot_observed_at":"2026-07-04T03:59:33.788512Z","title":"arXiv preprint arXiv:2112.14397 , year=","venue":null,"work_id":"19ac796c-033b-43d3-9e5c-3248e8827c36","year":2021},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"cited_paper":"/paper/2112.14397","citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:7e37f53ad1d5ed7f483e92966d34dcf6a8d0e3d2c58d24285e2d19def20c9b06","observation_id":"ee7739e0-3a6f-49fe-b42a-43aa2588393d","resolution":{"observed_at":"2026-06-29T19:53:55.836016Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T19:46:55.148691Z","title":"End-to-end object detection with transformers,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:856a1cdf237dcd04c1b8cb4e52ed793a8b5f0dec237c31771b4e4df9dc85330d","observation_id":"844b5e1d-5e1c-451c-8b9f-0d3e4676e47d","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Speechmoe2: Mixture-of- experts model with improved routing,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:f6bd3babab6930b5fe14ebd2948331ff50a9161a4d1f5980d8a3e2f7e15e95e9","observation_id":"97109bf1-972e-48ed-ab6a-dd7ec417c940","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Multimodal contrastive learning with limoe: the language-image mix- ture of experts,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:cd3651ee463e52ecc41217669ef36b0b6c9e041a1e6fd97701dd9d7105641f03","observation_id":"06fb9555-c865-4587-a474-ce4a51133336","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Twenty years of mixture of experts,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:db8a27de23fb95361d1b3622e2bca8541a2bfe3d3ab5b195afcafc4020bb5d54","observation_id":"8720a6e1-8115-4d4a-bc22-8c7dff7e97eb","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2503.07137","doi":"10.48550/arxiv.2503.07137","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2503.07137 , year=","venue":"arXiv (Cornell University)","work_id":"3a3f0889-f4ca-4b66-827d-8d33526f6ec2","year":2025},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:a3e5cf6bf18683ca49320eb6ad7c17f367db79cf1d6c98ba04b61449de39f7de","observation_id":"b3e5d77b-a021-46d6-a648-e9618b0dc3c9","resolution":{"observed_at":"2026-06-29T19:53:55.818250Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T19:46:55.148691Z","title":"No free lunch theorems for optimization,","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:b7068b91ab6f61cc4e3345f6fab6fba2b8dc432f82a0e270284fead47ddf3f47","observation_id":"1c979639-4ee9-460a-b090-d8ecf69800ac","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Evolving diverse tsp instances by means of novel and creative mutation operators,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:a4559ed971ace85383de5b20cf7b2d5758542fdb55cf3b570a775d69e6b9cd90","observation_id":"b3225b2a-f9ba-4d9c-8dce-ceb3c428ca13","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Simple statistical gradient-following algorithms for connectionist reinforcement learning,","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:962b4dc889579dde9e7c3539bfdf7aa302f865717406dab216f913bc6c9b0d9c","observation_id":"b9543a40-73ab-475c-873e-ce437b2890df","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"An extension of the lin-kernighan-helsgaun tsp solver for constrained traveling salesman and vehicle routing problems,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:b0233c0a8f80ca6c81510849fdcb22729f5e5ef468a56929764770f961ba7952","observation_id":"4b38f2a2-3606-4454-ab71-02d58c92b79f","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Simulation-guided beam search for neural combinatorial optimization,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:eb55840c05ef0316b1ddc545398d15ce50d26227adb2bd2b31cd611cd0c6e7e8","observation_id":"7e9a569f-d729-4230-a5b1-ca53454066c4","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Visualizing data using t-sne,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:0b1f37c9ff23c3080ee532b1210b219051cae084fa5a23da4343f89ef486e5af","observation_id":"95ab6d3a-f33e-4094-8d33-414479c59ddd","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","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":"2026-06-29T19:46:55.148691Z","title":"Multi-task reinforcement learning with soft modularization,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-06-29T19:46:55.148691Z"},"links":{"citing_paper":"/paper/2605.26776"},"observation_digest":"sha256:dd63eb4553f50029d39875160288a0f38eace3b86552cfc80e73b61f10c92fb8","observation_id":"f5aa43a2-386b-44fb-8e40-f919a43d781d","resolution":{"observed_at":"2026-06-29T19:46:55.148691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2605.26776","last_updated":"2026-05-26T09:46:54Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T19:57:42.169811Z","submitted_at":"2026-05-26T09:46:54Z","title":"Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts"},"reference_resolution":{"displayed":64,"state_counts":{"malformed_identifier":0,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":56,"verified_exact":5,"verified_fuzzy":0},"total_outbound_references":64},"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 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2605.26776."}