{"as_of":"2026-08-16T13:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2f55e9ec161af43a8290c2f86b30d413eded46b19329f57f7b822d1ab21a9f1a","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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":"2026-08-15T16:06:55.928007Z","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":"2026-05-13T02:52:08.933516Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1812.00793","last_updated":"2020-09-09T12:44:05Z","snapshot_observed_at":"2026-08-14T17:51:03.303587Z","submitted_at":"2018-11-29T19:27:33Z","title":"Simulated Tempering Langevin Monte Carlo II: An Improved Proof using Soft Markov Chain Decomposition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.00793","snapshot_observed_at":"2026-08-12T21:12:25.242353Z","title":"Simulated temp ering langevin monte carlo ii: An improved proof using soft markov chain decomposit ion","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.09117","last_updated":"2024-11-14T01:37:02Z","snapshot_observed_at":"2026-08-16T01:48:10.887004Z","submitted_at":"2024-11-14T01:37:02Z","title":"Efficiently learning and sampling multimodal distributions with data-based initialization","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T21:12:25.242353Z"},"links":{"cited_paper":"/paper/1812.00793","citing_paper":"/paper/2411.09117"},"observation_digest":"sha256:ac0bf4a32bd07ccd566455f6e204d159d22d21db0cfa3ac1f578a4f0cd19e3dd","observation_id":"5d6cead6-1634-4bad-bd9e-be5de1b43ff4","resolution":{"observed_at":"2026-08-12T21:12:25.242353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.00793","last_updated":"2020-09-09T12:44:05Z","snapshot_observed_at":"2026-08-14T17:51:03.303587Z","submitted_at":"2018-11-29T19:27:33Z","title":"Simulated Tempering Langevin Monte Carlo II: An Improved Proof using Soft Markov Chain Decomposition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.00793","snapshot_observed_at":"2026-08-15T16:06:55.928007Z","title":"Simulated Tempering Langevin Monte Carlo II: An Improved Proof using Soft Markov Chain Decomposition , 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.15410","last_updated":"2026-06-27T21:47:56Z","snapshot_observed_at":"2026-08-15T15:48:16.597960Z","submitted_at":"2025-09-18T20:37:47Z","title":"Two-scale criteria for Poincar\\'{e} and log-Sobolev inequalities with applications to Markov chain Monte Carlo","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T16:06:55.928007Z"},"links":{"cited_paper":"/paper/1812.00793","citing_paper":"/paper/2509.15410"},"observation_digest":"sha256:2ab740a62bd29be953db4b744a12ef02231a44b604920dc4bb3843417d942069","observation_id":"158528ad-e4d3-4e02-a569-75ca7b8ec544","resolution":{"observed_at":"2026-08-15T16:06:55.928007Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.00793","last_updated":"2020-09-09T12:44:05Z","snapshot_observed_at":"2026-08-14T17:51:03.303587Z","submitted_at":"2018-11-29T19:27:33Z","title":"Simulated Tempering Langevin Monte Carlo II: An Improved Proof using Soft Markov Chain Decomposition","version":3},"cited_work":{"arxiv_id":"1812.00793","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1812.00793","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:1812.00793 , year=","venue":null,"work_id":"ce76e6a2-faa5-422c-a215-77250f825988","year":2018},"citing_paper":{"arxiv_id":"2604.04823","last_updated":"2026-04-06T16:26:18Z","snapshot_observed_at":"2026-08-12T21:35:05.726078Z","submitted_at":"2026-04-06T16:26:18Z","title":"Rapid convergence of tempering chains to multimodal Gibbs measures","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-05-10T19:44:47.972106Z"},"links":{"cited_paper":"/paper/1812.00793","citing_paper":"/paper/2604.04823"},"observation_digest":"sha256:e5b3f51f351af77b529b0d894b4d554e8ce01c7aea3fc9d4d85120d61f33678f","observation_id":"d55d7763-27b3-4b53-bf1f-45073647bd80","resolution":{"observed_at":"2026-05-10T22:30:54.230161Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.00793","last_updated":"2020-09-09T12:44:05Z","snapshot_observed_at":"2026-08-14T17:51:03.303587Z","submitted_at":"2018-11-29T19:27:33Z","title":"Simulated Tempering Langevin Monte Carlo II: An Improved Proof using Soft Markov Chain Decomposition","version":3},"cited_work":{"arxiv_id":"1812.00793","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1812.00793","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:1812.00793 , year=","venue":null,"work_id":"ce76e6a2-faa5-422c-a215-77250f825988","year":2018},"citing_paper":{"arxiv_id":"2605.07950","last_updated":"2026-05-08T16:17:34Z","snapshot_observed_at":"2026-08-16T03:33:33.753960Z","submitted_at":"2026-05-08T16:17:34Z","title":"Slowly Annealed Langevin Dynamics: Theory and Applications to Training-Free Guided Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-11T02:53:12.418627Z"},"links":{"cited_paper":"/paper/1812.00793","citing_paper":"/paper/2605.07950"},"observation_digest":"sha256:eb0246da2a131d500710dce5f692844d734e9495dc34e5ccf6e7a57c4cd9f5ef","observation_id":"e2c8be4e-d36b-48bf-9271-67ca579513f4","resolution":{"observed_at":"2026-05-11T02:55:53.090144Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.00793","last_updated":"2020-09-09T12:44:05Z","snapshot_observed_at":"2026-08-14T17:51:03.303587Z","submitted_at":"2018-11-29T19:27:33Z","title":"Simulated Tempering Langevin Monte Carlo II: An Improved Proof using Soft Markov Chain Decomposition","version":3},"cited_work":{"arxiv_id":"1812.00793","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1812.00793","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:1812.00793 , year=","venue":null,"work_id":"ce76e6a2-faa5-422c-a215-77250f825988","year":2018},"citing_paper":{"arxiv_id":"2605.11361","last_updated":"2026-05-12T00:25:57Z","snapshot_observed_at":"2026-08-13T10:40:07.505202Z","submitted_at":"2026-05-12T00:25:57Z","title":"The tractability landscape of diffusion alignment: regularization, rewards, and computational primitives","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-05-13T02:49:53.547490Z"},"links":{"cited_paper":"/paper/1812.00793","citing_paper":"/paper/2605.11361"},"observation_digest":"sha256:060f4d38373b06814ed5860180904f136d17221f6dee5d54d5d55b12e59a78f7","observation_id":"647332a4-2636-4331-a7f8-5be5bc310e4a","resolution":{"observed_at":"2026-05-13T02:52:08.936031Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1812.00793/citation-record","integrity":"/paper/1812.00793/integrity","json":"/paper/1812.00793/citation-record.json","paper":"/paper/1812.00793"},"outbound":[],"paper":{"arxiv_id":"1812.00793","last_updated":"2020-09-09T12:44:05Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T17:51:03.303587Z","submitted_at":"2018-11-29T19:27:33Z","title":"Simulated Tempering Langevin Monte Carlo II: An Improved Proof using Soft Markov Chain Decomposition"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1812.00793."}