{"as_of":"2026-08-10T11:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:728a155eb8b9d9b1bf33a07a19cfe17c785d655712e2894cec34d2d7095a7125","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T14:42:34.413134Z","state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T19:30:33.775696Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T19:30:34.593712Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"cited_work":{"arxiv_id":"2509.24256","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.24256","snapshot_observed_at":"2026-08-05T19:30:34.593712Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","venue":"cs.LG","work_id":"72e40505-efce-4ee0-9767-0609575049cc","year":2025},"citing_paper":{"arxiv_id":"2608.03413","last_updated":"2026-08-04T10:06:15Z","snapshot_observed_at":"2026-08-09T20:02:30.831548Z","submitted_at":"2026-08-04T10:06:15Z","title":"Enactive Artificial Intelligence: A Decision-Centric Architecture for Complex Systems","version":1},"reference_index":120,"source":"arxiv_source","source_observed_at":"2026-08-05T19:30:33.775696Z"},"links":{"cited_paper":"/paper/2509.24256","citing_paper":"/paper/2608.03413"},"observation_digest":"sha256:36dcfbd0b9fffb2f2511cb6036a5d7799bfc65c0c85b59349e0285b274eee1bf","observation_id":"e70cab21-ace1-4b91-8c55-84f10cbe69aa","resolution":{"observed_at":"2026-08-05T19:30:34.599834Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2509.24256/citation-record","integrity":"/paper/2509.24256/integrity","json":"/paper/2509.24256/citation-record.json","paper":"/paper/2509.24256"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2005.14165","last_updated":"2020-07-22T19:47:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-05-28T17:29:03Z","title":"Language Models are Few-Shot Learners","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.14165","snapshot_observed_at":"2026-08-04T14:42:32.497484Z","title":"Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Nee- lakantan, Pranav Shyam, Girish Sastry, Amanda Askell, and et al","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:32.497484Z"},"links":{"cited_paper":"/paper/2005.14165","citing_paper":"/paper/2509.24256"},"observation_digest":"sha256:75f4f579602f2b7f9fc0ec78118a0a10f5fe65c46dd503bbc9a17536dbb8ff08","observation_id":"669585f3-33da-4136-92f3-836204d1ecd4","resolution":{"observed_at":"2026-08-04T14:42:32.497484Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.03409","last_updated":"2024-04-15T07:50:32Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-09-07T00:07:15Z","title":"Large Language Models as Optimizers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.03409","snapshot_observed_at":"2026-08-04T14:42:33.016114Z","title":"Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:33.016114Z"},"links":{"cited_paper":"/paper/2309.03409","citing_paper":"/paper/2509.24256"},"observation_digest":"sha256:9b3cd5978ce397ca5b70bcd9cc5b77105789d7fd8bd8015303928a7dced4a878","observation_id":"798a2016-b73b-46d4-a0a7-841e905f431d","resolution":{"observed_at":"2026-08-04T14:42:33.016114Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.02216","last_updated":"2018-09-10T14:26:58Z","snapshot_observed_at":"2026-07-06T05:45:54.936325Z","submitted_at":"2017-06-07T14:51:05Z","title":"Inductive Representation Learning on Large Graphs","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.02216","snapshot_observed_at":"2026-08-04T14:42:33.702140Z","title":"William L","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:33.702140Z"},"links":{"cited_paper":"/paper/1706.02216","citing_paper":"/paper/2509.24256"},"observation_digest":"sha256:bc450079a1b54694c7a6996ee05c187b692fab8430ce5b9379c29c27fca7bae8","observation_id":"e4457ade-87d3-4e38-a376-61c025482c54","resolution":{"observed_at":"2026-08-04T14:42:33.702140Z","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":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.01227","snapshot_observed_at":"2026-08-04T14:42:33.802192Z","title":"Chaitanya K","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:33.802192Z"},"links":{"cited_paper":"/paper/1906.01227","citing_paper":"/paper/2509.24256"},"observation_digest":"sha256:4e2719f0d3a904d62a5a317dd3269715a634bc1a543e840ee49901c51fb92cfd","observation_id":"edc57c24-3e92-44bd-96b9-8ab14dac7f60","resolution":{"observed_at":"2026-08-04T14:42:33.802192Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1704.01665","last_updated":"2018-02-21T19:47:20Z","snapshot_observed_at":"2026-07-06T05:36:43.853666Z","submitted_at":"2017-04-05T23:08:07Z","title":"Learning Combinatorial Optimization Algorithms over Graphs","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.01665","snapshot_observed_at":"2026-08-04T14:42:33.931549Z","title":"Elias Boutros Khalil, Hanjun Dai, Yuyu Zhang, Bistra N","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:33.931549Z"},"links":{"cited_paper":"/paper/1704.01665","citing_paper":"/paper/2509.24256"},"observation_digest":"sha256:e2e9221071a917b300e7dcf693860521ebf978d437f0a5587d1dd8a1a3398130","observation_id":"286fcf6b-7950-4d27-b023-e481513b5c8b","resolution":{"observed_at":"2026-08-04T14:42:33.931549Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00149","last_updated":"2024-07-12T23:01:32Z","snapshot_observed_at":"2026-07-06T16:25:46.699214Z","submitted_at":"2023-09-29T21:15:26Z","title":"One for All: Towards Training One Graph Model for All Classification Tasks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00149","snapshot_observed_at":"2026-08-04T14:42:34.054032Z","title":"arterial","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:34.054032Z"},"links":{"cited_paper":"/paper/2310.00149","citing_paper":"/paper/2509.24256"},"observation_digest":"sha256:8947040cf7f1d93fbe7293ae4faa2c31a2e35277bf77044f4f7f95480db0be34","observation_id":"fb698b0a-cccf-45f5-ade5-2bdf5e810787","resolution":{"observed_at":"2026-08-04T14:42:34.054032Z","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":"2026-08-04T14:42:34.179712Z","title":"This was extended by Kwon et al","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:34.179712Z"},"links":{"citing_paper":"/paper/2509.24256"},"observation_digest":"sha256:47b54988b8cb10e13f724da03dee1aaef67c51c03d07375093c8c223dd9dca44","observation_id":"ff94050a-050f-4b7c-a154-3c81d9694e1c","resolution":{"observed_at":"2026-08-04T14:42:34.179712Z","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":"2026-08-04T14:42:34.413134Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:34.413134Z"},"links":{"citing_paper":"/paper/2509.24256"},"observation_digest":"sha256:e77e63ddb7267b056a51b9207ec16e6fad85682d0b912dfcc0df68f6b76b8131","observation_id":"193c450c-4de0-4ca5-b72c-564a58e9c5f3","resolution":{"observed_at":"2026-08-04T14:42:34.413134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1506.03134","last_updated":"2017-01-02T10:25:29Z","snapshot_observed_at":"2026-07-06T04:20:26.449965Z","submitted_at":"2015-06-09T23:38:16Z","title":"Pointer Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.03134","snapshot_observed_at":"2026-08-04T14:42:32.622046Z","title":"Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"reference_index":1981,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:32.622046Z"},"links":{"cited_paper":"/paper/1506.03134","citing_paper":"/paper/2509.24256"},"observation_digest":"sha256:2b6e51b04ac53c420bdb37e6e6bd92acafd11e2dbe4699fe6d9a9f99f1d14d0d","observation_id":"cdcf5ade-62a1-48bf-ae76-4f1b02e43bab","resolution":{"observed_at":"2026-08-04T14:42:32.622046Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.03012","last_updated":"2021-03-04T13:20:06Z","snapshot_observed_at":"2026-08-08T18:12:53.602154Z","submitted_at":"2021-03-04T13:20:06Z","title":"The Transformer Network for the Traveling Salesman Problem","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.03012","snapshot_observed_at":"2026-08-04T14:42:33.129948Z","title":"Xavier Bresson and Thomas Laurent","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"reference_index":1985,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:33.129948Z"},"links":{"cited_paper":"/paper/2103.03012","citing_paper":"/paper/2509.24256"},"observation_digest":"sha256:38e388cbaa9e0fdeb747800cb4edebd42efb3b38db7244860789bf43fe5abdf7","observation_id":"c5f1813b-f17b-4b93-8955-0c1be04290be","resolution":{"observed_at":"2026-08-04T14:42:33.129948Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1611.09940","last_updated":"2017-01-12T23:55:36Z","snapshot_observed_at":"2026-07-06T05:20:39.825511Z","submitted_at":"2016-11-29T23:22:39Z","title":"Neural Combinatorial Optimization with Reinforcement Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.09940","snapshot_observed_at":"2026-08-04T14:42:32.710982Z","title":"Irwan Bello, Hieu Pham, Quoc V","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:32.710982Z"},"links":{"cited_paper":"/paper/1611.09940","citing_paper":"/paper/2509.24256"},"observation_digest":"sha256:57d661ef4b9ae40caee12bd84a812b7214a17a19f8f762360413031999324d78","observation_id":"a0921515-a5fc-4095-b4b2-87a8ba22487a","resolution":{"observed_at":"2026-08-04T14:42:32.710982Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1710.10903","last_updated":"2018-02-04T19:13:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-10-30T12:41:12Z","title":"Graph Attention Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.10903","snapshot_observed_at":"2026-08-04T14:42:33.590202Z","title":"Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio’, and Yoshua Bengio","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:33.590202Z"},"links":{"cited_paper":"/paper/1710.10903","citing_paper":"/paper/2509.24256"},"observation_digest":"sha256:af27b7f2ba2fb4b05ee795b6b692d74d027b96a0bebb296aba6b2903a78e15da","observation_id":"7ab23e50-141a-498a-9084-592e379ad8bf","resolution":{"observed_at":"2026-08-04T14:42:33.590202Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1609.02907","last_updated":"2017-02-22T09:55:36Z","snapshot_observed_at":"2026-07-06T05:10:16.862707Z","submitted_at":"2016-09-09T19:48:41Z","title":"Semi-Supervised Classification with Graph Convolutional Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.02907","snapshot_observed_at":"2026-08-04T14:42:33.512595Z","title":"Thomas Kipf and Max Welling","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:33.512595Z"},"links":{"cited_paper":"/paper/1609.02907","citing_paper":"/paper/2509.24256"},"observation_digest":"sha256:3518695d84dd2b2bbdbb309241236dfb44de212c9ece0e3daf3dff3fbe2e226c","observation_id":"3508f82f-a2d6-4736-ab12-5b7a4dc2389e","resolution":{"observed_at":"2026-08-04T14:42:33.512595Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.16011","last_updated":"2021-07-13T05:20:17Z","snapshot_observed_at":"2026-07-06T10:10:03.255419Z","submitted_at":"2020-10-30T00:57:50Z","title":"POMO: Policy Optimization with Multiple Optima for Reinforcement Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.16011","snapshot_observed_at":"2026-08-04T14:42:32.826151Z","title":"Yeong-Dae Kwon, Jinho Choo, Byoungjip Kim, Iljoo Yoon, Seungjai Min, and Youngjune Gwon","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:32.826151Z"},"links":{"cited_paper":"/paper/2010.16011","citing_paper":"/paper/2509.24256"},"observation_digest":"sha256:1d851c0cb50881bbde4eca687222d8d288efcbbc13af2673b44cea4764ebfc0d","observation_id":"12809fda-a74d-44d7-920a-7a48c6ad1604","resolution":{"observed_at":"2026-08-04T14:42:32.826151Z","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":"2026-08-04T14:42:34.296614Z","title":"Transformer-Based ApproachesFollowing the transformer revolution Vaswani et al","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:34.296614Z"},"links":{"citing_paper":"/paper/2509.24256"},"observation_digest":"sha256:b6fb1761ddaf690696e0ed3cf7de9242a3f74f01f290a745a2ca9dee7c793d2f","observation_id":"27ddc812-7500-4e23-8f4d-793b400b7e6a","resolution":{"observed_at":"2026-08-04T14:42:34.296614Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.08224","last_updated":"2023-12-02T21:27:23Z","snapshot_observed_at":"2026-07-06T14:52:30.853139Z","submitted_at":"2023-02-16T11:13:36Z","title":"DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.08224","snapshot_observed_at":"2026-08-04T14:42:32.905930Z","title":"Zhiqing Sun and Yiming Yang","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:32.905930Z"},"links":{"cited_paper":"/paper/2302.08224","citing_paper":"/paper/2509.24256"},"observation_digest":"sha256:0f7bb63df7f94571263210baf4b120abb929dd548155d194a4966c360e33729e","observation_id":"3dbdfafe-0127-4fcf-8ab9-6bd36afbd6ba","resolution":{"observed_at":"2026-08-04T14:42:32.905930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.07985","last_updated":"2024-01-13T01:32:56Z","snapshot_observed_at":"2026-07-06T16:31:37.625496Z","submitted_at":"2023-10-12T02:18:50Z","title":"Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.07985","snapshot_observed_at":"2026-08-04T14:42:33.184308Z","title":"Hua Yang, Minghao Zhao, Lei Yuan, Yang Yu, Zhenhua Li, and Ming Gu","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:33.184308Z"},"links":{"cited_paper":"/paper/2310.07985","citing_paper":"/paper/2509.24256"},"observation_digest":"sha256:046ad649014f09a7910f25d41f830bd022bdf68b3e2d854efa42053b1704f5dd","observation_id":"dcac3724-5fab-4b70-bac3-2313ca412f66","resolution":{"observed_at":"2026-08-04T14:42:33.184308Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.09388","snapshot_observed_at":"2026-08-04T14:42:32.544805Z","title":"An Yang, Anfeng Li, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Gao, Chengen Huang, Chenxu Lv, and et al","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:32.544805Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2509.24256"},"observation_digest":"sha256:b2668a94fc13554fc83e9ef6a5ef650db511f55efa6b9c057c24a1eff777a448","observation_id":"374f9447-9866-4785-9c80-ecdfd0de29d1","resolution":{"observed_at":"2026-08-04T14:42:32.544805Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01145","last_updated":"2024-10-14T13:50:46Z","snapshot_observed_at":"2026-08-07T23:50:05.329186Z","submitted_at":"2024-02-02T05:04:51Z","title":"ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01145","snapshot_observed_at":"2026-08-04T14:42:33.401802Z","title":"org/CorpusID:270875399","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:33.401802Z"},"links":{"cited_paper":"/paper/2402.01145","citing_paper":"/paper/2509.24256"},"observation_digest":"sha256:4eadb4f7b35669739a5f6634fa05cb4b226b8aac21fd1fd61f5003fd283cbcf0","observation_id":"5a6f1503-42fb-4850-9703-03ce38bd09d4","resolution":{"observed_at":"2026-08-04T14:42:33.401802Z","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":"2026-08-04T14:42:33.293023Z","title":"Mohammed Elhenawy, Ahmad Abutahoun, Taqwa I","venue":null,"work_id":null,"year":1921},"citing_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:33.293023Z"},"links":{"citing_paper":"/paper/2509.24256"},"observation_digest":"sha256:ce11fe8de92cb4afddb2b6e47c666b4c6b73d2cabcab406a7ee482490ae5c76c","observation_id":"d73fe639-41fe-4c9f-834a-92895530fc7a","resolution":{"observed_at":"2026-08-04T14:42:33.293023Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":20,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":20},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2509.24256."}