{"as_of":"2026-08-09T13:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a639d4c92583451b7ef421b428e29fbb23ae6a625a673c128b08d605a69ad8c7","coverage":[{"denominator":55,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":55,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:51:16.094229Z","state":"measured"},{"denominator":60,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":60,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T15:19:34.294316Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T13:58:21.831695Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"cited_work":{"arxiv_id":"2507.15173","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.15173","snapshot_observed_at":"2026-07-03T13:58:21.831695Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics.arXiv preprint arXiv:2507.15173","venue":null,"work_id":"109c264e-14f4-4619-9336-1d1cc2e29baf","year":2025},"citing_paper":{"arxiv_id":"2604.06109","last_updated":"2026-04-07T17:20:35Z","snapshot_observed_at":"2026-08-05T13:00:24.386604Z","submitted_at":"2026-04-07T17:20:35Z","title":"Learning $\\mathsf{AC}^0$ Under Graphical Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T19:45:54.008353Z"},"links":{"cited_paper":"/paper/2507.15173","citing_paper":"/paper/2604.06109"},"observation_digest":"sha256:7bf9cdaf5fe16b11f2a413701dd51470fb3d5eddaf489071a1f8177be485b815","observation_id":"14791cae-1cf2-4127-863e-9272b25891c8","resolution":{"observed_at":"2026-05-10T22:30:52.912005Z","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":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"cited_work":{"arxiv_id":"2507.15173","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.15173","snapshot_observed_at":"2026-07-03T13:58:21.831695Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics.arXiv preprint arXiv:2507.15173","venue":null,"work_id":"109c264e-14f4-4619-9336-1d1cc2e29baf","year":2025},"citing_paper":{"arxiv_id":"2606.13576","last_updated":"2026-06-11T17:02:24Z","snapshot_observed_at":"2026-08-08T21:43:36.320150Z","submitted_at":"2026-06-11T17:02:24Z","title":"Learning with Simulators: No Regret in a Computationally Bounded World","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-27T07:22:21.729255Z"},"links":{"cited_paper":"/paper/2507.15173","citing_paper":"/paper/2606.13576"},"observation_digest":"sha256:0b16ded77f1351e7a654e42aa707ecd0809652cf27d7135f04a7630981b343b4","observation_id":"1fee060c-a688-40c0-ac86-4abacc0f310a","resolution":{"observed_at":"2026-07-03T13:58:21.833166Z","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":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"cited_work":{"arxiv_id":"2507.15173","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.15173","snapshot_observed_at":"2026-07-03T13:58:21.831695Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics.arXiv preprint arXiv:2507.15173","venue":null,"work_id":"109c264e-14f4-4619-9336-1d1cc2e29baf","year":2025},"citing_paper":{"arxiv_id":"2606.31230","last_updated":"2026-06-30T07:07:57Z","snapshot_observed_at":"2026-08-06T08:30:27.951469Z","submitted_at":"2026-06-30T07:07:57Z","title":"Learning Gaussian Graphical Models from a Glauber Trajectory Without Mixing","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-07-01T06:35:07.063743Z"},"links":{"cited_paper":"/paper/2507.15173","citing_paper":"/paper/2606.31230"},"observation_digest":"sha256:c4f4e6913d324de6b5f4c07826e69f2877916940e2c64df0d3c0097887a27181","observation_id":"38147c21-dc35-4720-9081-d2e58349d8c6","resolution":{"observed_at":"2026-07-01T06:35:29.305811Z","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":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.15173","snapshot_observed_at":"2026-07-14T12:55:22.304868Z","title":"Gaitonde, A","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10285","last_updated":"2026-07-30T16:36:22Z","snapshot_observed_at":"2026-08-07T12:57:12.631833Z","submitted_at":"2026-07-11T12:31:34Z","title":"Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-14T12:55:22.304868Z"},"links":{"cited_paper":"/paper/2507.15173","citing_paper":"/paper/2607.10285"},"observation_digest":"sha256:30d5c06d2b79d06747088008a89038b73b110fa75e041c57a0eb10752184fadf","observation_id":"4e4558ca-26d6-4b0f-95de-829338d93665","resolution":{"observed_at":"2026-07-14T12:55:22.304868Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.15173","snapshot_observed_at":"2026-08-01T15:19:34.294316Z","title":"Gaitonde, A","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18559","last_updated":"2026-08-04T19:59:02Z","snapshot_observed_at":"2026-08-08T23:10:28.928385Z","submitted_at":"2026-07-20T22:44:45Z","title":"Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T15:19:34.294316Z"},"links":{"cited_paper":"/paper/2507.15173","citing_paper":"/paper/2607.18559"},"observation_digest":"sha256:12971ba4ca1524c775c3df49db777ed9d198074430474ab69794c617b8e8bbea","observation_id":"7bae5cf7-1570-4f26-ac5c-93c69fcd1358","resolution":{"observed_at":"2026-08-01T15:19:34.294316Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2507.15173/citation-record","integrity":"/paper/2507.15173/integrity","json":"/paper/2507.15173/citation-record.json","paper":"/paper/2507.15173"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:17.192808Z","title":"Abrahao, Flavio Chierichetti, Robert Kleinberg, and Alessandro Panconesi","venue":null,"work_id":"ef0a4577-2606-423a-a00c-e95eaf3edb07","year":2013},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.795984Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:dd16cd6cf6d3f08b8f4fe63b7cf68d47777f642a735757df4b0de61fbef1faaf","observation_id":"e4d3aa43-5437-4cb6-b373-baa6d435b04e","resolution":{"observed_at":"2026-08-06T15:51:17.198199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:17.167614Z","title":"Chow- L iu++: O ptimal P rediction- C entric L earning of T ree I sing M odels","venue":null,"work_id":"bce527d0-2cc4-44c3-a359-877512141161","year":2021},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.802339Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:00ce553a318eea86f682b17bd414c87b7b81ad5584b95d889dc8917d19ce796b","observation_id":"14512071-c33b-419a-8773-87208816b56b","resolution":{"observed_at":"2026-08-06T15:51:17.173736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:17.146966Z","title":"Bartlett, Varsha Dani, Thomas P","venue":null,"work_id":"a77a223b-6c92-4e78-9716-8165aa1dba2d","year":2008},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.808644Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:ee50b30b0eef47f6546ae786f181865c389116d8168940db9529fd320178ffc4","observation_id":"5af13ea9-a8a6-44de-af8f-446183d5494c","resolution":{"observed_at":"2026-08-06T15:51:17.152840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:17.126992Z","title":"Bovier and F","venue":null,"work_id":"a60d81f6-ac61-47e2-82cd-78b41bb664d8","year":2016},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.815578Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:59a926cde41bcd1dd1974ed5da9a38b2b21e4bf11a6c5028468e70cc375e2d4b","observation_id":"dd2ee404-3393-43e7-ab2a-ac38f6b7f294","resolution":{"observed_at":"2026-08-06T15:51:17.132711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:17.106756Z","title":"Bartlett, Paul Fischer, and Klaus - Uwe H \\\" o ffgen","venue":null,"work_id":"65d0c273-2203-43ea-b62d-29746499abfc","year":2002},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.821948Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:d336e90bccdc0831cdb51292aee84661cb2598bbf3d497fdaaa273233ba2fa97","observation_id":"be65256f-17f5-4d42-8754-9e893ef1d082","resolution":{"observed_at":"2026-08-06T15:51:17.112814Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:17.086395Z","title":null,"venue":null,"work_id":"c6a492a5-1f16-4fe1-9bfc-f27b2e0674e8","year":2023},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.827008Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:0cfcdba6dbc3346799f5f6559694cdcfa09c991f872505f7d3e1717688ff91f0","observation_id":"7952b652-af81-4343-873c-3aaed1888508","resolution":{"observed_at":"2026-08-06T15:51:17.093105Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:17.064685Z","title":"Learning G raphical M odels from the G lauber D ynamics","venue":null,"work_id":"0c3b8877-9364-4a35-a5e0-a74e04c3d54b","year":2018},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.833135Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:2e629a80bc2dab73a10227ab52e72cda6e9a5d367e94239df30d1ecb3520e951","observation_id":"df146c44-7b3b-4822-8fed-f16604a5a338","resolution":{"observed_at":"2026-08-06T15:51:17.071318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:17.043223Z","title":"Learning a tree-structured Ising model in order to make predictions","venue":null,"work_id":"3b594253-bc36-4250-a8fb-46a00c2f382e","year":2020},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.838587Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:b3884799a5fbd6284d3abb7204411cd6a66c1873b998db12805518d0b2f9b7b6","observation_id":"f530db38-c269-44e3-84cd-b26cbc4864ad","resolution":{"observed_at":"2026-08-06T15:51:17.049320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:17.020682Z","title":"Learning restricted B oltzmann machines via influence maximization","venue":null,"work_id":"00c4a0ff-7f7a-4b46-aefe-2a9658057af1","year":2019},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.843832Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:f360e6385296f1a1e98a547bf67872df4ef4b1ab712220238bf482573e915c98","observation_id":"497d97f8-8286-4a10-af16-fac2ca600bd1","resolution":{"observed_at":"2026-08-06T15:51:17.026653Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:17.001405Z","title":"A new approach to learning linear dynamical systems","venue":null,"work_id":"beb68e2b-5959-41bd-9e5f-ae7c6443ad59","year":2023},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.849597Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:91117d218aaf758769083dd239c79306dc8e1234d0bcf5aa7c9f69d3a97231fa","observation_id":"8372dd10-b653-478b-9fb5-52db093d856f","resolution":{"observed_at":"2026-08-06T15:51:17.007599Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.982948Z","title":null,"venue":null,"work_id":"269f6598-8fc7-4390-b214-22659fcc0c52","year":1993},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.854724Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:b51a68f2dc4cd1f896868558465a30a3295b682c54620e45de076bab1a5cd029","observation_id":"91b6e771-3276-48d3-960c-9a227a8cef9a","resolution":{"observed_at":"2026-08-06T15:51:16.988728Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.960830Z","title":"Bshouty, Elchanan Mossel, Ryan O'Donnell, and Rocco A","venue":null,"work_id":"41c17e3b-6ae8-4dc4-8b44-4d20ff907bd9","year":2005},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.860263Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:a6b51b1e421a11d90070a989c6e5c97d6e6777f0689869151bdd4820e4919a5d","observation_id":"02aeeca7-1404-4c08-8b66-d4564f96be5a","resolution":{"observed_at":"2026-08-06T15:51:16.968374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.939818Z","title":"Reconstruction of M arkov R andom F ields from S amples: S ome O bservations and A lgorithms","venue":null,"work_id":"c3154437-e57a-41a7-a9db-1dd3a85d0fef","year":2013},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.865388Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:a6e716378619db152c0211e7ff16041ad518a241a41c00780db98c9409149dc4","observation_id":"ed39c556-5aad-4c63-9d66-1768ce2e91ed","resolution":{"observed_at":"2026-08-06T15:51:16.945670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.920177Z","title":null,"venue":null,"work_id":"cc5e660f-0932-48ed-b01f-c959afe353a5","year":2008},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.870474Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:46e0a52dfac96f5013aa34cd35d624a667ed89480f919fdff8799c585001d0ce","observation_id":"35617434-7165-4460-b419-c35eb6ab7321","resolution":{"observed_at":"2026-08-06T15:51:16.927530Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.900507Z","title":"Efficiently L earning I sing M odels on A rbitrary G raphs","venue":null,"work_id":"bf254df6-246f-4cd1-bc44-bc70dc0dffee","year":2015},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.875444Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:977bc4214a8752fdfe48e8d09a182587f199b2989848804af3e251780db296ef","observation_id":"762cde2e-6404-4101-bb30-1ab9dc04fe3b","resolution":{"observed_at":"2026-08-06T15:51:16.906116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.882181Z","title":"Localization S chemes: A F ramework for P roving M ixing B ounds for M arkov C hains","venue":null,"work_id":"e64820e7-3f40-47b9-9cba-289414b7d756","year":2022},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.880624Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:d1d357e09f0b7c4f267c0df531ac23542d7a7deeeb66c41cf0b5cd1e420dc4b1","observation_id":"301106f3-0fd2-4d44-9e38-44524c8665fd","resolution":{"observed_at":"2026-08-06T15:51:16.888488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.864756Z","title":null,"venue":null,"work_id":"fb280b30-ff53-4cc5-a6a4-c783e7addcc2","year":2025},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.886890Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:71a0454e84aba5e9158548c2859fa231d0ed13e8b63bffc5b581b49a07fce64d","observation_id":"53291325-5ce8-4cb6-bc25-39a5b877968f","resolution":{"observed_at":"2026-08-06T15:51:16.869680Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.847763Z","title":"Approximating discrete probability distributions with dependence trees","venue":null,"work_id":"f47837cd-ada8-402f-840d-ca0e29f09166","year":1968},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.893168Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:4a8bed60133b4973ba7d6ae474694003192711476c83352646792c7c0a142aa0","observation_id":"0a3bc6c3-027f-4e42-8c09-38010c074369","resolution":{"observed_at":"2026-08-06T15:51:16.853843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.828109Z","title":"Learning I sing models from one or multiple samples","venue":null,"work_id":"98753883-3937-4817-8ebc-abec8e1cab42","year":2021},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.899655Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:795e91dcd4e16ef682f1329cf29578dbacb8ac80273f3c88de7ce312a4b406cf","observation_id":"7e6607e9-3103-4b32-bf97-d6cf4a335a22","resolution":{"observed_at":"2026-08-06T15:51:16.834902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.809634Z","title":"Kane, Alistair Stewart, and Yuxin Sun","venue":null,"work_id":"6f5095e4-d045-4190-a479-7f7f495ee295","year":2021},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.906110Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:b508afb52b001c9dc265f6899a432898b0ef68eefd8b6567398ebde67345e60f","observation_id":"2f5ddee8-9bfc-451c-b089-2171bbacc63f","resolution":{"observed_at":"2026-08-06T15:51:16.814801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.792753Z","title":"Lokhov, Marc Vuffray, and Sidhant Misra","venue":null,"work_id":"74952f1f-fb9e-464d-9a9a-146c60eb1006","year":2021},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.911255Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:7867054321500cd4c021b8edbe78a6577434d8a49e0b8055b8b4998063d04005","observation_id":"5fbe1183-ce83-404e-b7b5-77c1d67d406d","resolution":{"observed_at":"2026-08-06T15:51:16.798152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.771855Z","title":"The minimax learning rates of normal and I sing undirected graphical models","venue":null,"work_id":"008b1733-f843-48b5-a165-c4b223b716d0","year":2020},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.916397Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:5947b40db7d8027c2982a3e6fec48e76837b9131cbb3d888b283ede22ee3c388","observation_id":"f3f972af-a669-48a0-b22d-f7e2ead69292","resolution":{"observed_at":"2026-08-06T15:51:16.777416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.754220Z","title":"A S pectral C ondition for S pectral G ap: F ast M ixing in H igh- T emperature I sing M odels","venue":null,"work_id":"01b9e067-bf67-4f2c-a612-18e783b0b680","year":2022},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.922103Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:0d3d909e6a12f11c111e489c0968206e7a8ac1f163e56ec433eff3ee200e34db","observation_id":"c33af771-2da1-47c0-a775-2628f8750522","resolution":{"observed_at":"2026-08-06T15:51:16.759710Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.729921Z","title":"Kane, and Adam R","venue":null,"work_id":"e0f4817e-38af-4997-9849-791822464a2f","year":2019},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.927037Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:18305078bbcf2247bf82a79a2da470cde1edb4d6c9f648dd06fe9ac589781715","observation_id":"6973b0cf-98b6-4ac9-accb-f5954f3091fd","resolution":{"observed_at":"2026-08-06T15:51:16.740210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.708067Z","title":"Klivans, and Frederic Koehler","venue":null,"work_id":"abe7bce4-3600-44e8-a2d9-ffe08467d1ce","year":2020},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.931822Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:67aa099466a552b81d6d8cb90d874db32bd9d5aeeb39a397a827cf633b0bc73d","observation_id":"38625653-157d-4ce3-b1f5-fa8d6dd12388","resolution":{"observed_at":"2026-08-06T15:51:16.714789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.687495Z","title":"Time-dependent statistics of the Ising model","venue":null,"work_id":"3ec30009-91c3-45c1-ac50-a1d50bf3c11d","year":1963},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.937621Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:138b9188c1b817ec0520ea7b8a1f9efc6dc74b3063551218c7ede3a70874cbd7","observation_id":"e776e970-4981-448b-aa34-5e5575b871c5","resolution":{"observed_at":"2026-08-06T15:51:16.694890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.662868Z","title":"A Unified Approach to Learning Ising Models: Beyond Independence and Bounded Width","venue":null,"work_id":"8d7dbf9e-176f-43e4-9ea5-45a72dedc50f","year":2024},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.943400Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:49d5b2f15d5deb3143a1ede2a07c47921c37fe1b4a7d853342f2949552ace82d","observation_id":"4c83e83c-e9b9-42da-ba58-0fbd165645f3","resolution":{"observed_at":"2026-08-06T15:51:16.670071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.641366Z","title":"Bypassing the Noisy Parity Barrier: Learning Higher-Order Markov Random Fields from Dynamics","venue":null,"work_id":"a8fe4589-b3f0-4b46-bbbd-5ec3b74b1139","year":2025},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.949370Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:020d881b8e4e5e402ef020cac3151bc4c98a61bdc4b7d859567d3cddb1260ce1","observation_id":"40be711a-d82a-4c14-835f-d90f4088d18a","resolution":{"observed_at":"2026-08-06T15:51:16.646865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.624562Z","title":"Low-temperature Ising dynamics with random initializations","venue":null,"work_id":"b366402b-4ee2-4b78-b8fd-bf77706c1193","year":2022},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.954294Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:215988b8587b250c354321b14c595dfc1037d0d59b61bbbf911a88a9e52ff00e","observation_id":"2ae6094e-9f0f-477f-8ead-f5b1ecdc578a","resolution":{"observed_at":"2026-08-06T15:51:16.629685Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2505.15783","last_updated":"2025-05-21T17:34:39Z","snapshot_observed_at":"2026-08-07T15:09:36.738940Z","submitted_at":"2025-05-21T17:34:39Z","title":"Rapid phase ordering for Ising and Potts dynamics on random regular graphs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.15783","snapshot_observed_at":"2026-08-06T15:51:15.959141Z","title":"Rapid phase ordering for Ising and Potts dynamics on random regular graphs","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.959141Z"},"links":{"cited_paper":"/paper/2505.15783","citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:373f98974065c3e17fce3c5d2edfe2597535ac6e2f4115f3cf776486e27cbb8e","observation_id":"b2b6f494-9167-45bb-a215-47155746cdf9","resolution":{"observed_at":"2026-08-06T15:51:15.959141Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.607367Z","title":null,"venue":null,"work_id":"e9156355-3850-47a6-a0b1-8a775602ebda","year":1970},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.966855Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:00af108a5b48dbf0a8a45b3b66276f8482e04789c31511d21761cfab7d921480","observation_id":"5c35ad19-953c-478f-a068-90561c8975ee","resolution":{"observed_at":"2026-08-06T15:51:16.613194Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.589529Z","title":"Learning graphs from noisy epidemic cascades","venue":null,"work_id":"a45136a4-1bf1-48cd-9f87-59dbd0af73af","year":2019},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.973040Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:5397a4ab9b38cdb6ca61c82df3f0b28ed05f39a4de654c33360957bb48df1898","observation_id":"c2a00f32-7b23-4e5b-92fe-e88aec8080f5","resolution":{"observed_at":"2026-08-06T15:51:16.596140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.572092Z","title":"Information T heoretic P roperties of M arkov R andom F ields, and their A lgorithmic A pplications","venue":null,"work_id":"61f33b1d-0e5f-4a54-b6c2-a54139ae5d00","year":2017},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.978297Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:0c19858e1de679d343c37291a4865a6a9abb7f06a20112ed2963910289b46ed3","observation_id":"c30c2f1d-8a72-44bd-a17f-9d7f8dcb62b4","resolution":{"observed_at":"2026-08-06T15:51:16.577800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2410.13800","last_updated":"2026-07-02T18:50:45Z","snapshot_observed_at":"2026-07-09T23:16:36.891445Z","submitted_at":"2024-10-17T17:38:44Z","title":"Discrete distributions are learnable from metastable samples","version":4},"cited_work":{"arxiv_id":"2410.13800","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.13800","snapshot_observed_at":"2026-08-06T15:51:16.150858Z","title":"Discrete distributions are learnable from metastable samples","venue":"stat.ML","work_id":"fbd0cc33-6d77-4e77-867b-5a792cd22001","year":2024},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.983766Z"},"links":{"cited_paper":"/paper/2410.13800","citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:ec48b19516cf4cdda223e0cad89118e32df910344411abbcad90cf0edb421a24","observation_id":"f8aba2a7-69ab-4f11-ab47-9d14396ae55f","resolution":{"observed_at":"2026-08-06T15:51:16.158066Z","resolver_source":"local_arxiv","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":"2026-08-06T15:51:15.989016Z","title":null,"venue":null,"work_id":null,"year":1960},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.989016Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:c13fc08ea6e8d8df8ca098369ea894d5a9c0367d30f02602ddd8577d8e1c58ef","observation_id":"6134b5c5-dda8-48d8-8727-71ffa32deb38","resolution":{"observed_at":"2026-08-06T15:51:15.989016Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.542408Z","title":"Learning and T esting L atent- T ree I sing M odels E fficiently","venue":null,"work_id":"50d09eb2-7def-44a3-b717-15174ef82115","year":2023},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:15.995801Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:ff9b436a3a65e789c25244036773c284c5939c722990f8209d256cdc2898f82b","observation_id":"7cc9c307-e76f-4155-bbe7-220f55083d6c","resolution":{"observed_at":"2026-08-06T15:51:16.548054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.522909Z","title":"Statistical E fficiency of S core M atching: T he V iew from I soperimetry","venue":null,"work_id":"137eb086-2ec1-4c84-8f66-24610a9a2332","year":2023},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:16.001179Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:6a842a0c5cf61bd4306378d3e1fa7a0e4330511a4317b722f232e1c964ca753f","observation_id":"d9b4c747-26d5-414a-a0ed-2370f98d53e9","resolution":{"observed_at":"2026-08-06T15:51:16.528400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2411.09117","last_updated":"2024-11-14T01:37:02Z","snapshot_observed_at":"2026-07-06T19:50:05.918060Z","submitted_at":"2024-11-14T01:37:02Z","title":"Efficiently learning and sampling multimodal distributions with data-based initialization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.09117","snapshot_observed_at":"2026-08-06T15:51:16.006252Z","title":"Efficiently learning and sampling multimodal distributions with data-based initialization","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:16.006252Z"},"links":{"cited_paper":"/paper/2411.09117","citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:3c04c31bc18fd345f27f22a35b1c64e105d4cdbb99c51243ead2851bd5825061","observation_id":"94e273d1-0077-412a-9a40-8aa6dc8c4a0f","resolution":{"observed_at":"2026-08-06T15:51:16.006252Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.500433Z","title":"Klivans and Raghu Meka","venue":null,"work_id":"59609eb7-2017-4d7c-aaaa-8692b07cff1f","year":2017},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:16.012459Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:862085e22c6c0303bf3d92bfc3ff9d964b01e37f6b6da7d3a8a3ad01c28af188","observation_id":"6580b74a-23a3-4787-954c-52b747590c0c","resolution":{"observed_at":"2026-08-06T15:51:16.508570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.481496Z","title":"Mailath, and Rafael Rob","venue":null,"work_id":"2efa9385-76dd-4856-8090-cb96c59b0639","year":1993},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:16.017525Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:1be303028235b74d3cfb1398a7bade156f84a4f5a3c41746f4f7ee7657f56fd2","observation_id":"501b5e2b-df87-451a-833f-7ab138a0471b","resolution":{"observed_at":"2026-08-06T15:51:16.488376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.461940Z","title":"Chernoff and Berry--Ess \\'e en inequalities for Markov processes","venue":null,"work_id":"59d790a5-1034-4b5c-8f96-7d6239df3d34","year":2001},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:16.022447Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:0d1ce4b3147ed8aad58a6ae85a9790ba345551eeca1394bb3cab63215e908a0f","observation_id":"2a1617c4-c42f-42eb-91fe-5f68bab001d0","resolution":{"observed_at":"2026-08-06T15:51:16.468125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.443098Z","title":null,"venue":null,"work_id":"d1373626-2a5e-4ddc-83b2-f79cd0ff3cdb","year":2024},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:16.027319Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:bf6606d207e58a3840fa774ac20b012d9996aec823a8f00e24fbb125fd2553ea","observation_id":"054ddf56-ba90-40c5-8810-d2af564c7e0a","resolution":{"observed_at":"2026-08-06T15:51:16.448446Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.424397Z","title":"Levin and Yuval Peres","venue":null,"work_id":"b6ea3914-352d-472e-8972-218e5868b6d2","year":2017},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:16.032274Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:ba497fc6a56ac47b457a108223b2bf84dfc96e3944e494c0aaf8bf1a240d0375","observation_id":"7dba2915-2481-4596-aeef-a6907c0b81a9","resolution":{"observed_at":"2026-08-06T15:51:16.430585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.407187Z","title":"Rosenbluth, Marshall N","venue":null,"work_id":"ca954f22-48ef-4a82-bc45-473bb8d418a4","year":1953},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:16.037284Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:5f35d0de1fa149b9178765e0dd845857ce7e64e3776cf042e91a71a7a3379d9d","observation_id":"e3db32ad-9b57-4641-a90e-f22260271830","resolution":{"observed_at":"2026-08-06T15:51:16.413267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.387717Z","title":"Convergence to E quilibrium in L ocal I nteraction G ames","venue":null,"work_id":"1799f04a-94af-4d36-be88-b7d34ca677dd","year":2009},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:16.042143Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:f08c5061b84f8741e850aeb8a7032cc4bbe76715c50189513a8d40a97708ba0d","observation_id":"750e0c64-3847-4bdb-8a23-f3431a20d728","resolution":{"observed_at":"2026-08-06T15:51:16.394273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.367121Z","title":"Learning the graph of epidemic cascades","venue":null,"work_id":"4e074c07-02ba-4782-9355-77016b447770","year":2012},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:16.047274Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:8cfa1d54dcccad8bb40664b311ab509533c7b6a3523d06336d45cba7f4c7dda1","observation_id":"c2eab33a-daf5-4763-b8c1-05d9aa68b83b","resolution":{"observed_at":"2026-08-06T15:51:16.373607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.346671Z","title":"On L earning I sing M odels under H uber's C ontamination M odel","venue":null,"work_id":"12c0afcb-ce47-4a0b-82f3-d0486f1415c9","year":2020},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:16.052084Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:911ae15cce1e1190897b6882e856483715162e49cc7784c7494f0774e35a0bd2","observation_id":"b64cb087-248c-49bb-96f1-bb3533b9d637","resolution":{"observed_at":"2026-08-06T15:51:16.353281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.327038Z","title":"High- D imensional I sing M odel S election U sing _1 - R egularized L ogistic R egression","venue":null,"work_id":"0e19e183-51e7-465b-9f8b-d0932105259b","year":2010},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:16.057363Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:1e574e21f1627d3ee2ce5dbb4c59836082e97a5213a9f04f03a9cf31e6241fba","observation_id":"75016261-7040-4bb2-805b-e378905b2023","resolution":{"observed_at":"2026-08-06T15:51:16.332471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.306936Z","title":"Learning linear dynamical systems with semi-parametric least squares","venue":null,"work_id":"bf62cf73-e336-4d8f-be12-9f90671d5798","year":2019},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:16.062269Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:f57bf3d0f18d229d21cc80861858ca40d1b8f507abbd80f1283ce7bd736296bb","observation_id":"57b688a0-43dc-41bd-8849-49278b6fbdf4","resolution":{"observed_at":"2026-08-06T15:51:16.313701Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.287761Z","title":"Computational transition at the uniqueness threshold","venue":null,"work_id":"73e9dc8f-5b10-454a-9971-4c6d06307591","year":2010},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:16.067535Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:593bdd617e75740d6ee40d2ec423e371ae24969741ffe9238aba6b0918157109","observation_id":"3c17ff9f-0705-48ba-82b7-f200e01ff724","resolution":{"observed_at":"2026-08-06T15:51:16.294130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.266780Z","title":"The C omputational H ardness of C ounting in T wo- S pin M odels on d - R egular G raphs","venue":null,"work_id":"285ddbd5-3145-4947-84d3-1a856f818187","year":2012},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:16.072433Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:aedf1e591787ccc39609d19325b742956515312e85b9e7dc532aff795ab96e71","observation_id":"fbd7bf16-40c6-4942-9647-64b7ddf2fbe1","resolution":{"observed_at":"2026-08-06T15:51:16.273763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.244236Z","title":"Santhanam and Martin J","venue":null,"work_id":"f3a4fbc5-c66c-4d63-92b7-46d932882123","year":2012},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:16.078011Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:db24263f2f90287de2e9dfe51cb3df6a1ea0d862fc2b8f1cc4bade0eed895930","observation_id":"339ab2b4-0124-4292-9fcb-2adfe464a179","resolution":{"observed_at":"2026-08-06T15:51:16.249919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.224258Z","title":"Lokhov, and Michael Chertkov","venue":null,"work_id":"89d5ea59-a0ab-4f97-b947-3a306f6e971c","year":2016},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:16.084002Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:7bcab6664ede28ad40486c2a57264e9dd57b5bce408f003a8db58b01918e50aa","observation_id":"5da6461f-e2e0-407a-afb3-fef7d9eb73c2","resolution":{"observed_at":"2026-08-06T15:51:16.230193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.205785Z","title":null,"venue":null,"work_id":"6b9b0379-56fb-4b96-b693-d935a687c447","year":2019},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:16.089136Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:a5151a179425260361c95aeabbb64172b0d2f10495cc4662584ebfd1748e746c","observation_id":"7e44c873-422e-4c35-b892-752ff517b6f2","resolution":{"observed_at":"2026-08-06T15:51:16.210835Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:51:16.189265Z","title":"Peyton Young","venue":null,"work_id":"8f3c3de4-0cb0-405d-9a08-95bc4682c013","year":2011},"citing_paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-06T15:51:16.094229Z"},"links":{"citing_paper":"/paper/2507.15173"},"observation_digest":"sha256:0275947fd412a0accc6fdbe2bf3de7e7b6eed88ce39c3a60fba6d219347a5f57","observation_id":"4647ca82-e742-47d6-81ce-20b9179bdc0e","resolution":{"observed_at":"2026-08-06T15:51:16.194219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}}],"paper":{"arxiv_id":"2507.15173","last_updated":"2025-07-21T01:26:57Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T15:36:34.686535Z","submitted_at":"2025-07-21T01:26:57Z","title":"Better Models and Algorithms for Learning Ising Models from Dynamics"},"reference_resolution":{"displayed":55,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":10,"verified_exact":0,"verified_fuzzy":44},"total_outbound_references":55},"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 55 of 55 outbound references and 5 inbound Pith citation observations for arXiv:2507.15173."}