{"as_of":"2026-08-07T08:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8c0b8cc8edee285f3007c73fc6013711712696d956e96266b16f72e617ed0cc1","coverage":[{"denominator":76,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":76,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T21:40:04.924293Z","state":"measured"},{"denominator":76,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":76,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2511.14679/citation-record","integrity":"/paper/2511.14679/integrity","json":"/paper/2511.14679/citation-record.json","paper":"/paper/2511.14679"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T21:39:57.356522Z","title":"Sekimoto,Stochastic Energetics, Lecture Notes in Physics (Springer Berlin Heidelberg, 2010)","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:57.356522Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:9618037e62973e3695d2cbaa34e0d42e9898e91b3e25c6a0e06f3e3f4cafc7c9","observation_id":"4ee45d0c-0fd7-4878-b60e-1372006cae3f","resolution":{"observed_at":"2026-08-03T21:39:57.356522Z","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":"2026-08-03T21:39:57.450400Z","title":"Jarzynski, Equalities and inequalities: Irreversibility and the second law of thermodynamics at the nanoscale, Ann","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:57.450400Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:263dc259da89c0917ac7d168528b64e1af3863b8b39d61f120c10b4ac944cf68","observation_id":"8b9176bc-18a1-4480-ba9b-b56ba013bca7","resolution":{"observed_at":"2026-08-03T21:39:57.450400Z","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":"2026-08-03T21:39:57.607357Z","title":"Peliti and S","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:57.607357Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:95bd640ca51f343038a56ede9ff0710174ad59656354f1d2743410bbe1a0e934","observation_id":"4efc53f6-5c40-4508-8e2d-3d9f4e92b4da","resolution":{"observed_at":"2026-08-03T21:39:57.607357Z","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":"2026-08-03T21:39:57.782328Z","title":"Shiraishi,An Introduction to Stochastic Thermody- namics, Fundamental Theories of Physics (Springer Na- ture Singapore, Singapore, 2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:57.782328Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:6864e0fe94ca4d9a45bb527609d581fdd5f839122dabc6780d7fa53bfc060307","observation_id":"074fc948-9ab6-4405-b75c-693833813be4","resolution":{"observed_at":"2026-08-03T21:39:57.782328Z","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":"2026-08-03T21:39:57.924336Z","title":"Seifert,Stochastic Thermodynamics(Cambridge Uni- versity Press, 2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:57.924336Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:430d9538fae5687f9d16b25aa33ce8f146a6c480078f6519eb73a9378e5f03eb","observation_id":"fa894409-bdaf-425b-9a61-29027497de12","resolution":{"observed_at":"2026-08-03T21:39:57.924336Z","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":"2026-08-03T21:39:58.137204Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:58.137204Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:aad302ee3b12ba6479041679948f94dc3a50161d8b3a8c8c812fbbd736f12b56","observation_id":"22f908de-2c57-41ea-b25c-9aca8b02b83d","resolution":{"observed_at":"2026-08-03T21:39:58.137204Z","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":"2026-08-03T21:39:58.254374Z","title":"Ciliberto, Experiments in stochastic thermodynamics: Short history and perspectives, Phys","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:58.254374Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:bf0b83523b0e55f593922e576746268a98aa7c8c94141b92ab699221b9907e08","observation_id":"6308d672-b358-4a64-935b-3f742b2d2613","resolution":{"observed_at":"2026-08-03T21:39:58.254374Z","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":"2026-08-03T21:39:58.259028Z","title":"Alemany, M","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:58.259028Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:a8563c2271cb0aa3ba3f20ecbbb23a5942bff408282175a589a2f95f4d64f703","observation_id":"1e8c60f3-5e57-45f4-a4f2-959d54bf419e","resolution":{"observed_at":"2026-08-03T21:39:58.259028Z","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":"2026-08-03T21:39:58.337491Z","title":"Kolomeisky,Motor Proteins and Molecular Motors (CRC Press, 2015)","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:58.337491Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:4eed32a8ee7a355b762f37ecad82fd7c69c6667a77139956f0d8052738abe6cb","observation_id":"184eacce-fdc0-4b2e-8d28-0d106259c774","resolution":{"observed_at":"2026-08-03T21:39:58.337491Z","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":"2026-08-03T21:39:58.473937Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:58.473937Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:f844b947274307d2c7c60e4c9b838677e20a2b188afc8f5c230af30728a7e0f1","observation_id":"5e8311b5-8c24-48a9-b969-4445a1236122","resolution":{"observed_at":"2026-08-03T21:39:58.473937Z","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":"2026-08-03T21:39:58.640217Z","title":"Seifert, From stochastic thermodynamics to thermo- dynamic inference, Ann","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:58.640217Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:69c71c82b30b21b72e03ad523af75799d187524f864acaab207f6fcbb0c3940e","observation_id":"a478fabf-2445-4ee0-9c65-01c1f6f8b157","resolution":{"observed_at":"2026-08-03T21:39:58.640217Z","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":"2026-08-03T21:39:58.786880Z","title":"Esposito, Stochastic thermodynamics under coarse graining, Phys","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:58.786880Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:56d0a3f4b72d8172befcb83ee479c6ffbab97fd034a04ed058a85baf90068674","observation_id":"cce63050-e5a7-40d0-b660-fd8fbc4f3678","resolution":{"observed_at":"2026-08-03T21:39:58.786880Z","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":"2026-08-03T21:39:58.888518Z","title":"Bo and A","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:58.888518Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:7b64872939384f2253cadfb2ca8267e6a16098d09fd44ab1a441eae31bf77845","observation_id":"be6c5cef-b199-4e92-be8e-e7e4b0b3c01c","resolution":{"observed_at":"2026-08-03T21:39:58.888518Z","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":"2026-08-03T21:39:59.017841Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:59.017841Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:11f41079fb33bd63f4fe6c7d8497197272c0f65fde8d32b1bf3b2c156ad1eb2a","observation_id":"2d2bbced-e69b-45d6-89fc-00b02f5cd9ea","resolution":{"observed_at":"2026-08-03T21:39:59.017841Z","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":"2026-08-03T21:39:59.127120Z","title":"Kawai, J","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:59.127120Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:5556095471f5fd46a5552f319155e88981b5b544ac31cf37ae0fade8f45e9d08","observation_id":"934767d5-491b-4735-aade-be1563a99a09","resolution":{"observed_at":"2026-08-03T21:39:59.127120Z","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":"2026-08-03T21:39:59.232996Z","title":"Gomez-Marin, J","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:59.232996Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:65c0ae5a093194bd5bdbf7ce4f3c2d0c58743557d63cafec193f6f3fba3f0c86","observation_id":"737a0b3d-6039-4a25-91ee-54ef46a2d0d0","resolution":{"observed_at":"2026-08-03T21:39:59.232996Z","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":"2026-08-03T21:39:59.351885Z","title":"Rold´ an and J","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:59.351885Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:c7e5e6d5e367ac4011d47155106ea19fb2fed01b229387612835e59ed07f8af2","observation_id":"53bf39a0-3adf-4244-87a4-4470fbfada53","resolution":{"observed_at":"2026-08-03T21:39:59.351885Z","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":"2026-08-03T21:39:59.476790Z","title":"Dechant, J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:59.476790Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:2f80f2faf68fb12d91fc19293e57f15de79f9e25f50ebba9ddd5216229e82ef2","observation_id":"968d99bc-9e09-4e88-92c9-73dd64f67387","resolution":{"observed_at":"2026-08-03T21:39:59.476790Z","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":"2026-08-03T21:39:59.597534Z","title":"Dieball and A","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:59.597534Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:9368a73697ec84d255b064f14328984e3a705c69ee6f299fc34e3c1d5a4d51af","observation_id":"e0db3f81-9f17-4ea5-af4e-ad3ab7a9f6b8","resolution":{"observed_at":"2026-08-03T21:39:59.597534Z","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":"2026-08-03T21:39:59.718499Z","title":"Van Vu, V","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:59.718499Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:9652cc655151f456ebe7355b15a3b5f63db8b8d06f2d22f92d9387de731dbc84","observation_id":"b726dc2a-e46b-4cf9-b0b4-a5acfdc0fb63","resolution":{"observed_at":"2026-08-03T21:39:59.718499Z","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":"2026-08-03T21:39:59.801455Z","title":"Rold´ an, I","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:59.801455Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:3f0b9268036744ee8fb2f0b7bab478a02f7805efd0bcdc2ceb95b86d296de401","observation_id":"f0561f61-7608-4898-888c-4a55fa0da9d1","resolution":{"observed_at":"2026-08-03T21:39:59.801455Z","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":"2026-08-03T21:39:59.921195Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T21:39:59.921195Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:6cc73cc884529c75efb048013fe4a2def8677337caf6ad59c08a9878342d210e","observation_id":"337745c0-2b4a-42f8-b645-160ed9f4c82c","resolution":{"observed_at":"2026-08-03T21:39:59.921195Z","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":"2026-08-03T21:40:00.015642Z","title":"Pigolotti, I","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:00.015642Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:7537b3b0be79bcb7251e458e005146f891fe793b10400903904a1fd57e4e1c81","observation_id":"8ce832b3-53c4-4f97-b575-d46502dc3d0e","resolution":{"observed_at":"2026-08-03T21:40:00.015642Z","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":"2026-08-03T21:40:00.108736Z","title":"Neri and M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:00.108736Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:a2b24d4503d638ed0c1510226ee713a621bef72efed2f0ccc07bfe196570918e","observation_id":"4fed00d3-ed98-4446-8b8a-1361f1a58e3e","resolution":{"observed_at":"2026-08-03T21:40:00.108736Z","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":"2026-08-03T21:40:00.202056Z","title":"Di Terlizzi, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:00.202056Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:a5847b91ad48e3d459c55aea700e6ad56bf7749e54aca078bde4bea2f488a4b7","observation_id":"f6965b16-2fb9-4658-9b42-e16520b0d9b7","resolution":{"observed_at":"2026-08-03T21:40:00.202056Z","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":"2026-08-03T21:40:00.290223Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:00.290223Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:b7dde42c9114b924397b4bea5872f6a07703ac7192c1c97a5d65b8093a569c59","observation_id":"4c7a8931-5e83-49b9-88af-8f4e6eb77198","resolution":{"observed_at":"2026-08-03T21:40:00.290223Z","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":"2026-08-03T21:40:00.404143Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:00.404143Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:f7fc2248992a02f69f3dcb9a7f950499c1db4d5a11dc3ef8a12e18eff87c5510","observation_id":"59d4c462-bf3c-4982-87f5-6108987caf71","resolution":{"observed_at":"2026-08-03T21:40:00.404143Z","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":"2026-08-03T21:40:00.492647Z","title":"Hyeon and W","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:00.492647Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:f859174c42ba515e8afd80e70d2cf115fa337d6c1f72317ff7ddc14ada1de52a","observation_id":"e77420e1-a4dd-49ce-9bca-3b7b9677c998","resolution":{"observed_at":"2026-08-03T21:40:00.492647Z","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":"2026-08-03T21:40:00.649434Z","title":"Hwang and C","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:00.649434Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:2e3c4e557b0f10560fcd79bd0a82825bc46c25f1f5887704aa342dbbc2dde93d","observation_id":"e243e072-6a3b-4277-a0cf-2cf3a3da4557","resolution":{"observed_at":"2026-08-03T21:40:00.649434Z","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":"2026-08-03T21:40:00.767623Z","title":"Song and C","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:00.767623Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:81a12ecc1ff6d960d5fc68f07e9667e8a715173b57a9aaa8635fcc864b57b351","observation_id":"174c471d-69a2-4729-bcd6-7acadb8b2c1e","resolution":{"observed_at":"2026-08-03T21:40:00.767623Z","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":"2026-08-03T21:40:00.866887Z","title":"Maggi, F","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:00.866887Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:35b0917e833e9b69f3c0ae9f0f8d90152b4a1392f74ba7836630479b5e81784a","observation_id":"d99a133f-e295-4fdd-be29-b59889dffde9","resolution":{"observed_at":"2026-08-03T21:40:00.866887Z","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":"2026-08-03T21:40:00.942835Z","title":"Proesmans and C","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:00.942835Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:7080c1d425d3cfafa428510128ce6950510678069cbe508676b1a38dd2c49762","observation_id":"0598e77d-f019-4028-bd1b-cf9d10f66c95","resolution":{"observed_at":"2026-08-03T21:40:00.942835Z","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":"2026-08-03T21:40:00.949464Z","title":"Dechant, Multidimensional thermodynamic uncer- tainty relations, J","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:00.949464Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:4d026340d779701b846f3b3870d18b811c435d92de1df689b3d5a4805be3451d","observation_id":"92905c0d-4479-4489-b647-d9e85a6e39ca","resolution":{"observed_at":"2026-08-03T21:40:00.949464Z","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":"2026-08-03T21:40:01.124473Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:01.124473Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:3ee58e2206d1e019e051c81273200878daab2bcac1cc781df01b18d14fda3410","observation_id":"b8f7d4ee-9f16-4300-adbf-10f9de18557e","resolution":{"observed_at":"2026-08-03T21:40:01.124473Z","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":"2026-08-03T21:40:01.291720Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:01.291720Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:04d06414756dad9761460ca18f57a6a6c6cf0cc06bc0131cd76b5f82998e3064","observation_id":"8f2ac65a-f87a-4e81-968b-f28e682150a5","resolution":{"observed_at":"2026-08-03T21:40:01.291720Z","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":"2026-08-03T21:40:01.443166Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:01.443166Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:22171f408b2a207ab311f3e63017a524213cb85be066393dd633434207d6536a","observation_id":"cd9446f3-cd33-450f-89f7-05ee2a6e4ccf","resolution":{"observed_at":"2026-08-03T21:40:01.443166Z","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":"2026-08-03T21:40:01.563449Z","title":"Koyuk and U","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:01.563449Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:f1912de254fef4686ebf00355c67064ddf9135ed24aaae367eed0f76aaa293cd","observation_id":"1dd6c2d4-a5ef-43d8-8cd9-577319d8fe93","resolution":{"observed_at":"2026-08-03T21:40:01.563449Z","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":"2026-08-03T21:40:01.638332Z","title":"Dechant and S.-i","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:01.638332Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:f80b51e5b865954ca716906a0164803980f314e51df90635806dc9f92a7ed61b","observation_id":"431f4593-8827-49a3-a21f-802003b7c4d4","resolution":{"observed_at":"2026-08-03T21:40:01.638332Z","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":"2026-08-03T21:40:01.755535Z","title":"Dechant and S.-i","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:01.755535Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:b7cda64bc3dd4fe48f3dd578216d10b537a5f4e4bdcb80faec3b99bb9752a175","observation_id":"5dffa23d-e58d-4781-87d3-8491c659bb2d","resolution":{"observed_at":"2026-08-03T21:40:01.755535Z","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":"2026-08-03T21:40:01.828895Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:01.828895Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:e29a2285e43c036cb52464758f0333f76b0ff9b288c46715d9e1e8b39f0f4a26","observation_id":"b29a65c0-5b8a-45de-bbcc-be6bb5ef94da","resolution":{"observed_at":"2026-08-03T21:40:01.828895Z","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":"2026-08-03T21:40:01.906638Z","title":"Otsubo, S","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:01.906638Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:fa0d33b356f667dffc7e1075fc6885ccfec484cb6a6713ab3cb47518985e50f7","observation_id":"0b629dd6-d819-45c3-acc1-371b196cd84a","resolution":{"observed_at":"2026-08-03T21:40:01.906638Z","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":"2026-08-03T21:40:02.020164Z","title":"Van Vu, V","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:02.020164Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:39f50df43ba26bfc1d1722a9cb5751b3bbff79f5f426175a9aedfa7c44e18f0a","observation_id":"c96291cc-4fdd-414c-8dcf-07ae40f7fafb","resolution":{"observed_at":"2026-08-03T21:40:02.020164Z","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":"2026-08-03T21:40:02.123628Z","title":"Dechant and S","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:02.123628Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:53faacd9ee698040e1a062a389aa71afb0c17f41a4b2985479f495e6dcca2b87","observation_id":"12c6c406-c4de-4605-9ece-4a1e190c0a21","resolution":{"observed_at":"2026-08-03T21:40:02.123628Z","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":"2026-08-03T21:40:02.219681Z","title":"Rold´ an, J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:02.219681Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:801cde841f7d4518a3c69bc2b33f1826b757ec19dd134d816b83461a3adf6d69","observation_id":"b54f6916-c7dd-4dc2-83cf-e48cfa2a27ff","resolution":{"observed_at":"2026-08-03T21:40:02.219681Z","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":"2026-08-03T21:40:02.365418Z","title":"Otsubo, S","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:02.365418Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:cb84c338d78557648d8d09d34a3ff7f568cb148392c09b80901e3cba22e3fcea","observation_id":"ca49c8ec-280a-472c-bfca-b7497f54995f","resolution":{"observed_at":"2026-08-03T21:40:02.365418Z","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":"2026-08-03T21:40:02.473474Z","title":"Dieball and A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:02.473474Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:d85a7fde8d3be68a8926c560d76b69a427a301c8971cc5239d411a96e3db6c60","observation_id":"52f7b065-43ac-4333-92f6-cda9d4d1f307","resolution":{"observed_at":"2026-08-03T21:40:02.473474Z","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":"2026-08-03T21:40:02.583532Z","title":"Van Vu and K","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:02.583532Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:02324e7919faaa8ef9c72abddc497a352e5fb772cad13ebf871d145d19fce1fd","observation_id":"f32ce932-1b25-4fdd-b5e8-cab8e09e9d61","resolution":{"observed_at":"2026-08-03T21:40:02.583532Z","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":"2026-08-03T21:40:02.660397Z","title":"Pietzonka and F","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:02.660397Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:8ba2ebfe29ce93b0be52da79c4dd76f35ee1f10f5793897f2ae8396b5170b9fe","observation_id":"451430c3-a3b8-4dd8-b441-60ddb7647e26","resolution":{"observed_at":"2026-08-03T21:40:02.660397Z","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":"2026-08-03T21:40:02.721044Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:02.721044Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:0495a1ffddf1254a3cd0debb822c3d110e5769eb3d21296684d4d6875820f05f","observation_id":"f06b17ae-4225-46fc-af07-cb65d9dee2d3","resolution":{"observed_at":"2026-08-03T21:40:02.721044Z","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":"2026-08-03T21:40:02.827568Z","title":"Aslyamov, K","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:02.827568Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:945115096a0759957346e538a40173b92f344435890698278396eb68c3782ece","observation_id":"c28683f5-ab2a-4048-a245-6d047f62ce67","resolution":{"observed_at":"2026-08-03T21:40:02.827568Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.01981","last_updated":"2026-05-27T06:35:07Z","snapshot_observed_at":"2026-08-05T12:08:56.905867Z","submitted_at":"2025-09-02T05:52:01Z","title":"Thermodynamic uncertainty relation for generalized time-reversal observables","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.01981","snapshot_observed_at":"2026-08-03T21:40:02.897899Z","title":"Indo and Y","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:02.897899Z"},"links":{"cited_paper":"/paper/2509.01981","citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:87bc2ad62c645aaa1bae1b496f12f67319ad47b78f6d7d50084db406b599991b","observation_id":"24845b5a-9b19-4833-868e-1c46e374a8f1","resolution":{"observed_at":"2026-08-03T21:40:02.897899Z","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":"2026-08-03T21:40:02.974740Z","title":"Yoshimura and S","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:02.974740Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:dd617347f1232123548f6136bbb03ec6e17cea53264b52173dca03cee48daebe","observation_id":"d3cec1f3-17fa-4fb1-92df-e033fe65b2b5","resolution":{"observed_at":"2026-08-03T21:40:02.974740Z","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":"2026-08-03T21:40:03.038927Z","title":"Ito, Stochastic thermodynamic interpretation of infor- mation geometry, Phys","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:03.038927Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:b0966dc746416e6e45b45277d777a03b346fb22828da23fb147ddad72a19bb53","observation_id":"32471fb6-1db4-4534-ae06-a21b2bed6576","resolution":{"observed_at":"2026-08-03T21:40:03.038927Z","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":"2026-08-03T21:40:03.124585Z","title":"Shiraishi, K","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:03.124585Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:51221a77744c65a8c459b084f47567dfb0465491d8c22b45ffc525042db6e4f8","observation_id":"8b520446-557c-478c-a78d-62a490e6da2f","resolution":{"observed_at":"2026-08-03T21:40:03.124585Z","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":"2026-08-03T21:40:03.179135Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:03.179135Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:0923f732fbca7c2954e8d8a9e410f232ec4ed64981f53353f3ad471970ec308d","observation_id":"058ee69b-32b7-4e04-8c97-da0562ffc614","resolution":{"observed_at":"2026-08-03T21:40:03.179135Z","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":"2026-08-03T21:40:03.289300Z","title":"Falasco and M","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:03.289300Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:27ada7c2efa12c3e44ac7857cf304586057289b82d14cfb01ae3b076d7b83944","observation_id":"228df806-d574-4b82-a7d6-d830014eba3b","resolution":{"observed_at":"2026-08-03T21:40:03.289300Z","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":"2026-08-03T21:40:03.368136Z","title":"Ito and A","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:03.368136Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:415cb2e311444b5185b5fb9d3cccef0dd231cd97ce17bf199a9cba2a3b513079","observation_id":"e4151306-2e4d-4574-abf9-d5848c27e8c8","resolution":{"observed_at":"2026-08-03T21:40:03.368136Z","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":"2026-08-03T21:40:03.432986Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:03.432986Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:f197910d691eea1a62484d99d12c25ee1420063b566650361b0ce0b6099d237c","observation_id":"3cdeeb3c-ff8b-4517-b414-6ec426b6c2e7","resolution":{"observed_at":"2026-08-03T21:40:03.432986Z","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":"2026-08-03T21:40:03.498677Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:03.498677Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:1ec09f4c570d7e35069e7be80a71276ec84aeec9851e7391aa7d326165d495f4","observation_id":"d2243811-7efa-4c75-b5c3-b65c59b2010a","resolution":{"observed_at":"2026-08-03T21:40:03.498677Z","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":"2026-08-03T21:40:03.582024Z","title":"Ehrich, Tightest bound on hidden entropy production from partially observed dynamics, J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:03.582024Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:10de9fcda294946167636e8c0f5d1f2fc13e9745e5ca1bd1747efb3b687d7f09","observation_id":"7754162d-6e01-49c7-9ce4-bb42a76ed049","resolution":{"observed_at":"2026-08-03T21:40:03.582024Z","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":"2026-08-03T21:40:03.681779Z","title":"van der Meer, B","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:03.681779Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:cdb67de7e0c8a8bb7ec8da9c6d5e8c76220701071d346dc895eeb1300c011c50","observation_id":"550b8dcd-844e-4fad-9d82-34645208edad","resolution":{"observed_at":"2026-08-03T21:40:03.681779Z","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":"2026-08-03T21:40:03.746480Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:03.746480Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:9aad956c0da50181aa1c021aa479f94aee5e1d4d1b04920b7cc0bfe7857befa1","observation_id":"d8ff9f65-1c3c-41b0-a553-cbd791748267","resolution":{"observed_at":"2026-08-03T21:40:03.746480Z","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":"2026-08-03T21:40:03.844351Z","title":"van der Meer, J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:03.844351Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:adedd66e67bd083776716b91d1ab35e3a81cf06905359fe8ca01a9b2343b42c8","observation_id":"4b2b7a12-3dc2-4cab-89cf-a8a29ad8bda5","resolution":{"observed_at":"2026-08-03T21:40:03.844351Z","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":"2026-08-03T21:40:03.942952Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:03.942952Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:cfaa9cc41b6671a198df0deef5b70bc952c48ed285e42f9f8bec2e166df9b499","observation_id":"aef6798f-7544-4658-8982-c76bbd67aa46","resolution":{"observed_at":"2026-08-03T21:40:03.942952Z","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":"2026-08-03T21:40:04.040171Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:04.040171Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:e2e77729bfed4f6b35c9e1ee879ba1cffd69a2a81cf76d8d75a1b610aad11a96","observation_id":"611b1029-56d0-4226-b29d-f05fbd78165b","resolution":{"observed_at":"2026-08-03T21:40:04.040171Z","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":"2026-08-03T21:40:04.138932Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:04.138932Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:c9c90bf7f0a804535e7c969bb302a9ae614440f40c4b1c210e742f7d5fe4930c","observation_id":"4725cee6-f471-4280-8983-ddf9d950fbf4","resolution":{"observed_at":"2026-08-03T21:40:04.138932Z","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":"2026-08-03T21:40:04.211016Z","title":"Kapustin, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:04.211016Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:41c30082e120b061625a2d343a10c6bb0a2ea9906348b3ad4c763203cc4b54bc","observation_id":"d19a3587-8569-4cc6-803e-41c0aa75b3a0","resolution":{"observed_at":"2026-08-03T21:40:04.211016Z","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":"2026-08-03T21:40:04.296399Z","title":"Ertel and U","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:04.296399Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:340529213ab8eb2085a3386a9c7f0815b5932ea20df06606e9f7b8eb2e806450","observation_id":"21e475c6-ce9a-43a5-9404-90a6c8242eb1","resolution":{"observed_at":"2026-08-03T21:40:04.296399Z","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":"2026-08-03T21:40:04.367709Z","title":"Deg¨ unther, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:04.367709Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:e5d663eff7326a7ff0175bbb264ae062505dddda9dbc05a80a469db739500a1f","observation_id":"25c3bb3c-fbef-4eed-a7fe-ac423c43b3cf","resolution":{"observed_at":"2026-08-03T21:40:04.367709Z","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":"2026-08-03T21:40:04.442721Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:04.442721Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:cec7371303f3141e00b16b0db1089ed5e0166079cd354e9721c17d6c0b30f9ea","observation_id":"f3b9fb37-5c2f-4354-b3d2-7076ba40ced2","resolution":{"observed_at":"2026-08-03T21:40:04.442721Z","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":"2026-08-03T21:40:04.539355Z","title":null,"venue":null,"work_id":null,"year":1977},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:04.539355Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:3de5eaa9dd5d92595a7fda68478c7c3b32561969eaee7191419bb1e197f6ce0c","observation_id":"7d9db8fe-dc23-4a00-b18a-37b42bd92998","resolution":{"observed_at":"2026-08-03T21:40:04.539355Z","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":"2026-08-03T21:40:04.639383Z","title":"Koza, General technique of calculating the drift veloc- ity and diffusion coefficient in arbitrary periodic systems, J","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:04.639383Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:88760a6ee220796d487e9300a881ab0b876e77896eb75e2d34a60b7af7e7fa33","observation_id":"fbf23426-76c2-4841-9c1a-aa0ffe967635","resolution":{"observed_at":"2026-08-03T21:40:04.639383Z","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":"2026-08-03T21:40:04.738906Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:04.738906Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:20be23ccb1281beaeed3ed7fbab9af32b8e336b592eebd66438660ede1b956b4","observation_id":"a8f78e52-e560-4c3d-881f-ab64e26eca70","resolution":{"observed_at":"2026-08-03T21:40:04.738906Z","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":"10.1103/physrevresearch.7.013077","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ferri-Cortes, J","venue":"Physical Review Research","work_id":"8d796fc2-8ac8-4f9d-8c26-17dba0061567","year":2025},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:04.801814Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:dce74333fd96e793656120b3a94e7dbae611208a7dc1ea6d6500d8f3a2656036","observation_id":"ffd88c7e-95a7-4264-94e7-f0b2b8ade994","resolution":{"observed_at":"2026-08-03T21:43:31.719355Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-03T21:40:04.875420Z","title":"van der Meer and K","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:04.875420Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:19d01438dcf1c40708cf6b53604c5f2590136fbeff6b5f860df0530e1563d062","observation_id":"dc015364-eda1-4c74-bf8c-dc4521ab2f2c","resolution":{"observed_at":"2026-08-03T21:40:04.875420Z","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":"2026-08-03T21:40:04.924293Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-03T21:40:04.924293Z"},"links":{"citing_paper":"/paper/2511.14679"},"observation_digest":"sha256:c163284eb95cfb055ae91ab8f10600de7a9dbc8931f600341c67e3c1358db90f","observation_id":"58ca72e6-05e6-4f4b-b903-b843cdd474d6","resolution":{"observed_at":"2026-08-03T21:40:04.924293Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2511.14679","last_updated":"2026-06-17T05:09:05Z","latest_version":2,"primary_category":"cond-mat.stat-mech","snapshot_observed_at":"2026-08-03T21:39:51.658381Z","submitted_at":"2025-11-18T17:20:30Z","title":"Compensating random transition-detection blackouts in Markov networks"},"reference_resolution":{"displayed":76,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":75,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":76},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2511.14679."}