{"as_of":"2026-08-13T08:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:57b59053f2363d6ef06241509c368359ee50c594929ae6840c80ba96ded2ed8a","coverage":[{"denominator":16,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T13:45:40.014576Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-21T03:42:39.920436Z","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":"2026-05-21T03:43:56.247303Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.15945","last_updated":"2024-11-24T18:20:05Z","snapshot_observed_at":"2026-08-13T06:43:20.717870Z","submitted_at":"2024-11-24T18:20:05Z","title":"Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial","version":1},"cited_work":{"arxiv_id":"2411.15945","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.15945","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"97a8af64-9ce7-4545-9a6a-d30c97a57fc5","year":2024},"citing_paper":{"arxiv_id":"2605.21254","last_updated":"2026-05-20T14:42:07Z","snapshot_observed_at":"2026-08-04T22:50:17.644757Z","submitted_at":"2026-05-20T14:42:07Z","title":"Random Matrix Spectra from Boltzmann-Weighted Lattice Ensembles","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-21T03:42:39.920436Z"},"links":{"cited_paper":"/paper/2411.15945","citing_paper":"/paper/2605.21254"},"observation_digest":"sha256:0efd7f932e27e2548e23162c5848cd41aeadf0ddc01c8d53604a47a754692dba","observation_id":"09845d60-46b2-41de-9a00-d79cd2756631","resolution":{"observed_at":"2026-05-21T03:43:56.248994Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.15945/citation-record","integrity":"/paper/2411.15945/integrity","json":"/paper/2411.15945/citation-record.json","paper":"/paper/2411.15945"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1051/jphyslet:019850046017077100","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:45:40.078325Z","title":null,"venue":null,"work_id":"ccdc80e4-451e-44c3-b8cf-ed59d26c3d9c","year":null},"citing_paper":{"arxiv_id":"2411.15945","last_updated":"2024-11-24T18:20:05Z","snapshot_observed_at":"2026-08-13T06:43:20.717870Z","submitted_at":"2024-11-24T18:20:05Z","title":"Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T13:45:39.986221Z"},"links":{"citing_paper":"/paper/2411.15945"},"observation_digest":"sha256:26eecdd5dab54f07f35ecf43e6c8f1068ae0e2e5634706c50712d3729c1181a0","observation_id":"959efd12-c29c-4b9a-89b2-8afcee068445","resolution":{"observed_at":"2026-08-12T13:45:40.082963Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41928-024-01182-4","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:45:40.062702Z","title":"G´ abor Pete,´Ad´ am Tim´ ar, Sigurdur¨Orn Stef´ ansson, Ivan Bonamassa, and M´ arton P´ osfai","venue":null,"work_id":"db911683-b7b4-4e73-a124-c72a752a0bfe","year":null},"citing_paper":{"arxiv_id":"2411.15945","last_updated":"2024-11-24T18:20:05Z","snapshot_observed_at":"2026-08-13T06:43:20.717870Z","submitted_at":"2024-11-24T18:20:05Z","title":"Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T13:45:39.990712Z"},"links":{"citing_paper":"/paper/2411.15945"},"observation_digest":"sha256:36d98f5e11659e1acde5b700c0cae0c525fa7dda44b50c73e8692ebaf19d2ee6","observation_id":"784b7067-a97e-4ff3-a30b-70badd3252d4","resolution":{"observed_at":"2026-08-12T13:45:40.068467Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:45:39.995204Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.15945","last_updated":"2024-11-24T18:20:05Z","snapshot_observed_at":"2026-08-13T06:43:20.717870Z","submitted_at":"2024-11-24T18:20:05Z","title":"Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T13:45:39.995204Z"},"links":{"citing_paper":"/paper/2411.15945"},"observation_digest":"sha256:4a4754795cce0c05feb0df1ee80a9dbea462f657ef3852edb14656d3fc2440a9","observation_id":"d187773c-9733-405b-897f-20519a4f8c83","resolution":{"observed_at":"2026-08-12T13:45:39.995204Z","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":"10.1109/itw","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:45:40.410307Z","title":"2015.7133169","venue":null,"work_id":"368a7258-e6ef-4576-8bac-25a539841413","year":2015},"citing_paper":{"arxiv_id":"2411.15945","last_updated":"2024-11-24T18:20:05Z","snapshot_observed_at":"2026-08-13T06:43:20.717870Z","submitted_at":"2024-11-24T18:20:05Z","title":"Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T13:45:40.004505Z"},"links":{"citing_paper":"/paper/2411.15945"},"observation_digest":"sha256:db0789e01ecabba912ce4f3f0e93fd7c8e3f284c3cf9b37e37ebd643834194f2","observation_id":"cbfeee1a-e131-474f-9fbb-382621fdb6e1","resolution":{"observed_at":"2026-08-12T13:45:40.416133Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1126/science.220.459","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:45:40.124998Z","title":null,"venue":null,"work_id":"edf859f3-29c2-4cdd-a9ed-64b984b24779","year":null},"citing_paper":{"arxiv_id":"2411.15945","last_updated":"2024-11-24T18:20:05Z","snapshot_observed_at":"2026-08-13T06:43:20.717870Z","submitted_at":"2024-11-24T18:20:05Z","title":"Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial","version":1},"reference_index":1983,"source":"pdf_text","source_observed_at":"2026-08-12T13:45:39.971168Z"},"links":{"citing_paper":"/paper/2411.15945"},"observation_digest":"sha256:edd3fe87b17012c4a0b160e19b670a2038550069a097985f6507f292b37a4a37","observation_id":"76174225-100d-4d9d-a719-381ee0a2d3d3","resolution":{"observed_at":"2026-08-12T13:45:40.130630Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:45:40.009048Z","title":"Leslie Valiant","venue":null,"work_id":null,"year":1968},"citing_paper":{"arxiv_id":"2411.15945","last_updated":"2024-11-24T18:20:05Z","snapshot_observed_at":"2026-08-13T06:43:20.717870Z","submitted_at":"2024-11-24T18:20:05Z","title":"Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial","version":1},"reference_index":1984,"source":"pdf_text","source_observed_at":"2026-08-12T13:45:40.009048Z"},"links":{"citing_paper":"/paper/2411.15945"},"observation_digest":"sha256:e3cc6a11eebc43fd8f16d3147defadb8a5591afa684f7314ba00f0fc2544441c","observation_id":"b48c1fc5-6077-4b0b-86a3-a2c8d566e543","resolution":{"observed_at":"2026-08-12T13:45:40.009048Z","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":"2026-08-12T13:45:39.939568Z","title":"Giuseppe Carleo, Ignacio Cirac, Kyle Cranmer, Laurent Daud et, Maria Schuld, Naftali Tishby, Leslie Vogt-Maranto, and Lenka Zdeborov´ a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.15945","last_updated":"2024-11-24T18:20:05Z","snapshot_observed_at":"2026-08-13T06:43:20.717870Z","submitted_at":"2024-11-24T18:20:05Z","title":"Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial","version":1},"reference_index":1985,"source":"pdf_text","source_observed_at":"2026-08-12T13:45:39.939568Z"},"links":{"citing_paper":"/paper/2411.15945"},"observation_digest":"sha256:34833f2d8768d5fae5b25c8e65e139e1689df8039baf7887951b7621b48389aa","observation_id":"fa80834b-d868-4566-b08e-96bd2fb6f213","resolution":{"observed_at":"2026-08-12T13:45:39.939568Z","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":"2026-08-12T13:45:39.981557Z","title":"URL https://www.worldscientific.com/doi/abs/10.1142/0271","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.15945","last_updated":"2024-11-24T18:20:05Z","snapshot_observed_at":"2026-08-13T06:43:20.717870Z","submitted_at":"2024-11-24T18:20:05Z","title":"Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial","version":1},"reference_index":1986,"source":"pdf_text","source_observed_at":"2026-08-12T13:45:39.981557Z"},"links":{"citing_paper":"/paper/2411.15945"},"observation_digest":"sha256:84c9e8b111ea108f2031a00a2f2a376d8d056e96c3d383199b08c2470d9c2bf4","observation_id":"2fe1713e-b624-4d2b-a676-ad99c795e220","resolution":{"observed_at":"2026-08-12T13:45:39.981557Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-12T13:45:40.632221Z","title":"Tishby and N","venue":null,"work_id":"cca1b020-22db-4bfe-ac88-548046f64fe1","year":2015},"citing_paper":{"arxiv_id":"2411.15945","last_updated":"2024-11-24T18:20:05Z","snapshot_observed_at":"2026-08-13T06:43:20.717870Z","submitted_at":"2024-11-24T18:20:05Z","title":"Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial","version":1},"reference_index":1990,"source":"pdf_text","source_observed_at":"2026-08-12T13:45:39.999915Z"},"links":{"citing_paper":"/paper/2411.15945"},"observation_digest":"sha256:0b834fa138dd3eaf15afba3e92a8b4cfc94b94dba873c4eb42700de040c79429","observation_id":"4399e646-cf73-4d41-8ed1-b23de153a0f2","resolution":{"observed_at":"2026-08-12T13:45:40.636939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/revmodphys.65.499","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:45:40.046301Z","title":"URL https://link.aps.org/doi/10.1103/RevModPhys.65.499","venue":null,"work_id":"9b59c1b6-5e78-4b99-a269-381a9e4fd07f","year":null},"citing_paper":{"arxiv_id":"2411.15945","last_updated":"2024-11-24T18:20:05Z","snapshot_observed_at":"2026-08-13T06:43:20.717870Z","submitted_at":"2024-11-24T18:20:05Z","title":"Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial","version":1},"reference_index":1993,"source":"pdf_text","source_observed_at":"2026-08-12T13:45:40.014576Z"},"links":{"citing_paper":"/paper/2411.15945"},"observation_digest":"sha256:2ccbd0f278b9b8ade01254a4b265710912abf29ef6a6bd4c48a62a3ce3feb6d8","observation_id":"f6ceb6e3-e362-4355-b19c-aa5832b0eade","resolution":{"observed_at":"2026-08-12T13:45:40.052452Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1119/1.19085","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:45:40.103250Z","title":"M Mezard, G Parisi, and M Virasoro","venue":null,"work_id":"6843f6d7-7d8e-4d0a-bb04-2f7cabe5e0f7","year":null},"citing_paper":{"arxiv_id":"2411.15945","last_updated":"2024-11-24T18:20:05Z","snapshot_observed_at":"2026-08-13T06:43:20.717870Z","submitted_at":"2024-11-24T18:20:05Z","title":"Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial","version":1},"reference_index":1999,"source":"pdf_text","source_observed_at":"2026-08-12T13:45:39.976147Z"},"links":{"citing_paper":"/paper/2411.15945"},"observation_digest":"sha256:dd36da92a7e3e47df189044343dece77cdbf503a1196a47126c0b09673c4c00e","observation_id":"2e36d369-6191-455f-92b1-e122fb7ed95e","resolution":{"observed_at":"2026-08-12T13:45:40.108950Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:45:39.949810Z","title":"0909892106","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.15945","last_updated":"2024-11-24T18:20:05Z","snapshot_observed_at":"2026-08-13T06:43:20.717870Z","submitted_at":"2024-11-24T18:20:05Z","title":"Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial","version":1},"reference_index":2009,"source":"pdf_text","source_observed_at":"2026-08-12T13:45:39.949810Z"},"links":{"citing_paper":"/paper/2411.15945"},"observation_digest":"sha256:25c9475efbe5d64c8e8251b2c3136a4926b844fc4df460c6d13d6349132bafc0","observation_id":"c1c86b59-4f99-46c8-bb12-aa3c70542111","resolution":{"observed_at":"2026-08-12T13:45:39.949810Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-12T13:45:39.954644Z","title":"Karl Friston, Francesco Rigoli, and Giovanni Pezzulo","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2411.15945","last_updated":"2024-11-24T18:20:05Z","snapshot_observed_at":"2026-08-13T06:43:20.717870Z","submitted_at":"2024-11-24T18:20:05Z","title":"Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-12T13:45:39.954644Z"},"links":{"citing_paper":"/paper/2411.15945"},"observation_digest":"sha256:7339611e0715ed0cfa1baa50b47d20fc4dff07d3fa7b9e92a8348af341ca2dc9","observation_id":"358f8712-6f2c-424b-ae84-268b3f173d12","resolution":{"observed_at":"2026-08-12T13:45:39.954644Z","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":"10.1016/j.neubiorev.2016.06.02","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:45:40.155494Z","title":null,"venue":null,"work_id":"74e88477-024d-44ff-8d7d-36e133b92d82","year":2016},"citing_paper":{"arxiv_id":"2411.15945","last_updated":"2024-11-24T18:20:05Z","snapshot_observed_at":"2026-08-13T06:43:20.717870Z","submitted_at":"2024-11-24T18:20:05Z","title":"Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-12T13:45:39.960109Z"},"links":{"citing_paper":"/paper/2411.15945"},"observation_digest":"sha256:a7996322e6af790d5d898bb8e1b0bf517be134e680328ad875a233725a3bccca","observation_id":"fe3a1210-de04-459d-b654-8cf8f9ebc202","resolution":{"observed_at":"2026-08-12T13:45:40.160019Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:45:39.944744Z","title":"Gregory J","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.15945","last_updated":"2024-11-24T18:20:05Z","snapshot_observed_at":"2026-08-13T06:43:20.717870Z","submitted_at":"2024-11-24T18:20:05Z","title":"Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-12T13:45:39.944744Z"},"links":{"citing_paper":"/paper/2411.15945"},"observation_digest":"sha256:113c5bb14a99b2f5060acd80336b96d1b1c846f46ceddb7e7455d5980b83cee9","observation_id":"6e8c0b35-2b22-457e-bb30-bbc5cdf2c51c","resolution":{"observed_at":"2026-08-12T13:45:39.944744Z","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":"10.1038/s42256-024-00833-7","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:45:40.141199Z","title":"Geoﬀrey E","venue":null,"work_id":"d1a28818-47b1-4694-948e-b6ffb2ee0ad0","year":null},"citing_paper":{"arxiv_id":"2411.15945","last_updated":"2024-11-24T18:20:05Z","snapshot_observed_at":"2026-08-13T06:43:20.717870Z","submitted_at":"2024-11-24T18:20:05Z","title":"Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-12T13:45:39.966311Z"},"links":{"citing_paper":"/paper/2411.15945"},"observation_digest":"sha256:7a7ac45e4b0247b64c2dfe20a7ece9a782067c64b5e5e4fb91473ab130741dea","observation_id":"1abe76b8-f0ca-4d3e-aa2a-baa1db3d2e96","resolution":{"observed_at":"2026-08-12T13:45:40.145560Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.15945","last_updated":"2024-11-24T18:20:05Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T06:43:20.717870Z","submitted_at":"2024-11-24T18:20:05Z","title":"Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial"},"reference_resolution":{"displayed":16,"state_counts":{"malformed_identifier":3,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":7,"verified_fuzzy":1},"total_outbound_references":16},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2411.15945."}