{"as_of":"2026-08-08T15:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:32cb255aa67db08d2193341d7b8bf1a17a2a817590ce6f32d0c97e591d5e6c72","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T13:54:26.814792Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2509.24894/citation-record","integrity":"/paper/2509.24894/integrity","json":"/paper/2509.24894/citation-record.json","paper":"/paper/2509.24894"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2003.10471","last_updated":"2020-03-23T18:03:39Z","snapshot_observed_at":"2026-08-07T09:51:08.007757Z","submitted_at":"2020-03-23T18:03:39Z","title":"Label Noise Types and Their Effects on Deep Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.10471","snapshot_observed_at":"2026-08-04T13:54:17.623915Z","title":"Label noise types and their effects on deep learning","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:17.623915Z"},"links":{"cited_paper":"/paper/2003.10471","citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:04ddd5a04749427b098e26e9ab8c6ace1e64785aea0a0e48e7604b1cc21a5a92","observation_id":"1f985276-6f52-4f7b-acc8-4f9281013c38","resolution":{"observed_at":"2026-08-04T13:54:17.623915Z","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":"2026-08-04T13:54:17.725483Z","title":"Methods of Information Geometry","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:17.725483Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:7324cc6746ca319d3838fe28d4cd9864a55c1bee513469b1dd46e72dc3aab919","observation_id":"fe0287cf-b201-4f2f-9263-d53ecdab77c5","resolution":{"observed_at":"2026-08-04T13:54:17.725483Z","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":"2026-08-04T13:54:17.898547Z","title":"Robust solutions of optimization problems affected by uncertain probabilities","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:17.898547Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:f62f12231729d867e8d2bae2af2a16f15a5e850e62fba98bf2e3b418ee93d719","observation_id":"7a2002b3-d892-49d7-9cd2-1c85f95443f9","resolution":{"observed_at":"2026-08-04T13:54:17.898547Z","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":"2026-08-04T13:54:18.449563Z","title":"Iterative bregman projections for regularized transportation problems","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:18.449563Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:2ef68e137d92992e0f3cad9c4623c2e1fead8ba3dff8e32c1b3e62bdd72b8d61","observation_id":"755f0659-803e-496d-9afd-71f73b5885ae","resolution":{"observed_at":"2026-08-04T13:54:18.449563Z","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":"2026-08-04T13:54:18.668752Z","title":"Katsoulakis, Yannis Pantazis, and Luc Rey-Bellet","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:18.668752Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:b1ffa7e96a8cd915669d97fbe7b8b3f3d45338f73e74ba2c671a9916f203660a","observation_id":"0e9b3e4e-7fc1-46e5-a818-235a6dbd6e0f","resolution":{"observed_at":"2026-08-04T13:54:18.668752Z","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":"2026-08-04T13:54:18.812790Z","title":"Pattern recognition and machine learning, volume 4","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:18.812790Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:3fd440e648c4bb6e67ed0b6570545d27d8301c493480c1a8207c0e5402f04276","observation_id":"3dcb07ad-994d-47f7-a6f5-e892ffba9679","resolution":{"observed_at":"2026-08-04T13:54:18.812790Z","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":"2026-08-04T13:54:18.932881Z","title":"Efficient bounds for the softmax function and applications to approximate inference in hybrid models","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:18.932881Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:f9204e8ff8412105bc13f0c68e31a3238e3ddd6e34e761f20309eac340ae2037","observation_id":"d51d33aa-0382-4e5f-9e8d-ae5945fc077e","resolution":{"observed_at":"2026-08-04T13:54:18.932881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1508.05216","last_updated":"2019-02-09T12:44:58Z","snapshot_observed_at":"2026-07-06T04:27:17.503341Z","submitted_at":"2015-08-21T09:00:08Z","title":"Unbalanced Optimal Transport: Dynamic and Kantorovich Formulation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1508.05216","snapshot_observed_at":"2026-08-04T13:54:19.072313Z","title":"Unbalanced optimal transport: Dynamic and Kantorovich formulation","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:19.072313Z"},"links":{"cited_paper":"/paper/1508.05216","citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:3aee51169c02c905afc3c54903674676ede33a5fdafcbe5821951a090b5ccd91","observation_id":"ab4164da-9b7b-45dd-b18b-4d2815b74fa2","resolution":{"observed_at":"2026-08-04T13:54:19.072313Z","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":"2026-08-04T13:54:19.208952Z","title":"Sinkhorn distances: Lightspeed computation of optimal transport","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:19.208952Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:eec2ffb0b00c3f0670e70342e8d17038fea06b163b7eb49327ea97bd4ca27c87","observation_id":"416741ac-11f7-4310-ae20-6f510739a93b","resolution":{"observed_at":"2026-08-04T13:54:19.208952Z","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":"2026-08-04T13:54:19.446211Z","title":"The mnist database of handwritten digit images for machine learning research","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:19.446211Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:76be55e7de194046e1a6c0e073dc4503a2c88e91405fb35e22a9b1c34e6ab4ce","observation_id":"933c0273-0ff6-47ba-bce4-bf1328fd208e","resolution":{"observed_at":"2026-08-04T13:54:19.446211Z","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":"2026-08-04T13:54:19.554223Z","title":"Stochastic optimization for large-scale optimal transport","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:19.554223Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:2457562239c35126f47a899b397afbab025b80207045e3f461caef9f64794ed4","observation_id":"46dca49b-d661-4db1-8073-969db5f8b60d","resolution":{"observed_at":"2026-08-04T13:54:19.554223Z","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":"2026-08-04T13:54:19.613288Z","title":"What every computer scientist should know about floating-point arithmetic","venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:19.613288Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:516fa7bbf0cd7fefd17ba43bd75bfa0b311ca7042b8b71b98ddad249a24cfc83","observation_id":"b658f236-156e-4fe3-ae0d-2f7f5d8905ba","resolution":{"observed_at":"2026-08-04T13:54:19.613288Z","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":"2026-08-04T13:54:19.692645Z","title":"Kullback- Leibler Divergence Constrained Distributionally Robust Optimization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:19.692645Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:d15b3b5788fcdc297bfc07d74f9c050789dd2b1bf14d69099afaa5d14710dc2a","observation_id":"b1ae91c6-9640-4421-bd68-86a40f99fcbb","resolution":{"observed_at":"2026-08-04T13:54:19.692645Z","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":"2026-08-04T13:54:19.797605Z","title":"On the translocation of masses","venue":null,"work_id":null,"year":1942},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:19.797605Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:ce13f253384ffe1d13fe04ac3477fbd0f45e40f97dcf491a1045a515b1d083ae","observation_id":"85c3c369-6880-4219-82ae-35b464a1bc2f","resolution":{"observed_at":"2026-08-04T13:54:19.797605Z","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":"2026-08-04T13:54:19.874790Z","title":"Fast yet simple natural-gradient descent for variational inference in complex models","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:19.874790Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:06b2c5af8092edc597bab4eaf7bbefd9ef3b5e87f8fd9ed9a47cee4cfc6a6e29","observation_id":"18e1447e-70c6-4368-a371-97dac6b9db1a","resolution":{"observed_at":"2026-08-04T13:54:19.874790Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.04562","last_updated":"2024-06-08T04:07:38Z","snapshot_observed_at":"2026-08-07T12:17:19.277266Z","submitted_at":"2021-07-09T17:28:55Z","title":"The Bayesian Learning Rule","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.04562","snapshot_observed_at":"2026-08-04T13:54:19.934870Z","title":"The Bayesian learning rule","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:19.934870Z"},"links":{"cited_paper":"/paper/2107.04562","citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:b82762be24930bdccd2bec4d4ed7e4e96e12179e59df20ffe7ac6a4a85c297b6","observation_id":"f2bb4020-8ca8-43b6-917d-027d70a03c48","resolution":{"observed_at":"2026-08-04T13:54:19.934870Z","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":"2026-08-04T13:54:20.371197Z","title":"A new optimal transport distance on the space of finite Radon measures","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:20.371197Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:989f549a684fd59252e21acb80a4acb87461291fef0d953e3a6c16eb2f694caf","observation_id":"948acf9a-41ec-464b-a6c4-8f8611192615","resolution":{"observed_at":"2026-08-04T13:54:20.371197Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02549","last_updated":"2025-05-26T19:59:17Z","snapshot_observed_at":"2026-07-06T19:45:08.566279Z","submitted_at":"2024-11-04T19:32:24Z","title":"Distributionally Robust Optimization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.02549","snapshot_observed_at":"2026-08-04T13:54:20.534746Z","title":"Distributionally Robust Optimization","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:20.534746Z"},"links":{"cited_paper":"/paper/2411.02549","citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:56b8592dd1a513ef40e5ceb5cc86313da2089adb0c2d40caf878bfae0e87375e","observation_id":"45c8316e-7b93-4785-9278-18bc0d3a5c9c","resolution":{"observed_at":"2026-08-04T13:54:20.534746Z","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":"2026-08-04T13:54:20.781855Z","title":"Large-scale methods for distributionally robust optimization","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:20.781855Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:37430aef6f0bae543eb46b162661e2310b57d2b53a2d13952e74601e0ba445b8","observation_id":"b5aebcbe-f525-4499-92b3-3bc101e621b5","resolution":{"observed_at":"2026-08-04T13:54:20.781855Z","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":"2026-08-04T13:54:21.009522Z","title":"Optimal entropy-transport problems and a new Hellinger – Kantorovich distance between positive measures","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:21.009522Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:eddb9a564a8b3e9d747dd91d862032f84794384e37ff2f53cff161f452e9c9b3","observation_id":"020157b3-5e4a-49d5-bc76-1503d0bbcad8","resolution":{"observed_at":"2026-08-04T13:54:21.009522Z","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":"2026-08-04T13:54:21.315131Z","title":"Data-driven distributionally robust optimization using the Wasserstein metric: Performance guarantees and tractable reformulations","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:21.315131Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:8383c5cdd6c95e7527bbec694316c454e74ba06022a37cda9fd181b6fd1ab290","observation_id":"a6a5c361-ca4d-48af-8b57-3f5d1e7f2268","resolution":{"observed_at":"2026-08-04T13:54:21.315131Z","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":"2026-08-04T13:54:21.809906Z","title":"Guaranteed bounds on information-theoretic measures of univariate mixtures using piecewise log-sum-exp inequalities","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:21.809906Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:6e9c265999f8dcc60789d9ae75fa72be7428b6fb608671b4831a7947c585870a","observation_id":"29a650cc-a39b-412a-8c81-82b39caded36","resolution":{"observed_at":"2026-08-04T13:54:21.809906Z","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":"2026-08-04T13:54:22.098894Z","title":"Outlier-robust wasserstein dro","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:22.098894Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:17e8df3d116e3a5f3fd7670a6f5c145f4a660142874790b6696b39fd9b05d77a","observation_id":"1d889839-6cf9-48a0-bdc0-e82faa1100c4","resolution":{"observed_at":"2026-08-04T13:54:22.098894Z","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":"2026-08-04T13:54:22.669786Z","title":"Sparse spatial autoregressions","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:22.669786Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:f6df173cf92c3b04267be9fac1166e5bd0d313432a252ee2cd78e19da1563f86","observation_id":"7d81470e-3dfc-4618-af6a-556ab90b804c","resolution":{"observed_at":"2026-08-04T13:54:22.669786Z","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":"2026-08-04T13:54:23.184735Z","title":"On solving large-scale finite minimax problems using exponential smoothing","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:23.184735Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:60d26c3229fdea439c0431a6027246eb7b754652bd39f00f8e49b51055b0a67d","observation_id":"f28df147-1e1c-4353-9e8e-0f7a68ed2abc","resolution":{"observed_at":"2026-08-04T13:54:23.184735Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1803.00567","last_updated":"2020-03-18T09:54:55Z","snapshot_observed_at":"2026-08-03T21:19:53.521455Z","submitted_at":"2018-03-01T18:28:43Z","title":"Computational Optimal Transport","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.00567","snapshot_observed_at":"2026-08-04T13:54:23.306905Z","title":"Computational optimal transport: With applications to data science","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:23.306905Z"},"links":{"cited_paper":"/paper/1803.00567","citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:b806760f70953c4eae6746753832cc5cdb506db6ced2f96feb210c0da0679ee4","observation_id":"e61bb35d-2160-4363-8116-412859fb4e7d","resolution":{"observed_at":"2026-08-04T13:54:23.306905Z","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":"2026-08-04T13:54:23.454835Z","title":"Information theory: From coding to learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:23.454835Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:109f27d7d331dacfb65da1a5cca6adc34c00899c30b4f26733308a076922a664","observation_id":"e73bdb05-04ef-4bab-9f2f-ce4029466fe6","resolution":{"observed_at":"2026-08-04T13:54:23.454835Z","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":"2026-08-04T13:54:23.623972Z","title":"Optimization of conditional value-at-risk","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:23.623972Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:d8a6df862d37a029c671c5275f892aad129bc18ebcd01559665fec494a4d3fc4","observation_id":"7eadc6f6-5eb7-4269-a3bf-652430fedcc2","resolution":{"observed_at":"2026-08-04T13:54:23.623972Z","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":"2026-08-04T13:54:23.835893Z","title":"Optimal Transport for Applied Mathematicians: Calculus of Variations, PDEs , and Modeling","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:23.835893Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:97eeb8614d8668dd85051fcffb4431af4d639c58080fd426341c324c41c892b5","observation_id":"b7dd1dbd-0e8c-4cbf-ad9d-f7f9225fac1c","resolution":{"observed_at":"2026-08-04T13:54:23.835893Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1710.10571","last_updated":"2020-05-01T07:29:34Z","snapshot_observed_at":"2026-08-07T21:20:40.257232Z","submitted_at":"2017-10-29T07:27:57Z","title":"Certifying Some Distributional Robustness with Principled Adversarial Training","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.10571","snapshot_observed_at":"2026-08-04T13:54:24.304742Z","title":"Certifying some distributional robustness with principled adversarial training","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:24.304742Z"},"links":{"cited_paper":"/paper/1710.10571","citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:5570ac9fc8cd31028f8306483ea260e0b3a333e074f447ceb23371a69e859f61","observation_id":"48bf6cd9-bfd6-4f8b-b027-1c58c23ef108","resolution":{"observed_at":"2026-08-04T13:54:24.304742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.05826","last_updated":"2020-02-14T00:58:34Z","snapshot_observed_at":"2026-08-03T13:27:52.176956Z","submitted_at":"2020-02-14T00:58:34Z","title":"Statistical Learning with Conditional Value at Risk","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.05826","snapshot_observed_at":"2026-08-04T13:54:24.696741Z","title":"Statistical learning with conditional value at risk","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:24.696741Z"},"links":{"cited_paper":"/paper/2002.05826","citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:b5ee4c75a35e6c9f23407d3c8e8edcb295f105b9f5230f0688c1aa6000b7f8ec","observation_id":"26d12798-56df-41cd-bd15-681570fb9c93","resolution":{"observed_at":"2026-08-04T13:54:24.696741Z","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":"2026-08-04T13:54:24.895002Z","title":"Demonstration-regularized RL","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:24.895002Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:9296241d597ad9317aac3f079ea5256ec56af7f5aa8b8ff422e161712e7bb075","observation_id":"400ef101-9197-4e22-9e9f-53c44001133b","resolution":{"observed_at":"2026-08-04T13:54:24.895002Z","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":"2026-08-04T13:54:25.161546Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:25.161546Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:7e3f7f5bd5b2219d23bc188be0be725b46d44af4ade735449a50c3da09c9d1fc","observation_id":"9acad66b-90bf-4e1c-bb8d-008acef016d8","resolution":{"observed_at":"2026-08-04T13:54:25.161546Z","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":"2026-08-04T13:54:25.534904Z","title":"Optimal transport: old and new, volume 338","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:25.534904Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:db50cbde94ab586b564531ae47e72e223f8f44ae6f727abe0edca10bee75ca59","observation_id":"28b560ec-9873-4d9f-aec1-5af3cc121102","resolution":{"observed_at":"2026-08-04T13:54:25.534904Z","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":"2026-08-04T13:54:25.714742Z","title":"Graphical models, exponential families, and variational inference","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:25.714742Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:2ec025a5de481c9ff58893e5dd4cc11e461d6f5cf907c181ba2ec60121d40da9","observation_id":"81a9e667-bf09-4efd-84c6-a34e7e6c96c6","resolution":{"observed_at":"2026-08-04T13:54:25.714742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.11926","last_updated":"2025-03-26T16:30:42Z","snapshot_observed_at":"2026-08-02T11:14:43.562416Z","submitted_at":"2021-09-24T12:40:48Z","title":"Sinkhorn Distributionally Robust Optimization","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.11926","snapshot_observed_at":"2026-08-04T13:54:25.824732Z","title":"Sinkhorn distributionally robust optimization","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:25.824732Z"},"links":{"cited_paper":"/paper/2109.11926","citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:2a24e7d75cfd3811072b811953e0d39f002dad8167bda357ca65a26951bd6f8b","observation_id":"95f5c5d7-c3fd-4090-8e80-e7afe6b62478","resolution":{"observed_at":"2026-08-04T13:54:25.824732Z","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":"2026-08-04T13:54:25.944738Z","title":"Outlier-robust distributionally robust optimization via unbalanced optimal transport","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:25.944738Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:2aede8ef98d02bb34747dfcfd23063dcff8dcf4e6c96f291c6c6ff063fcab465","observation_id":"5a17dbcd-dc6f-48ba-8337-fe61941f94c0","resolution":{"observed_at":"2026-08-04T13:54:25.944738Z","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":"2026-08-04T13:54:26.074875Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:26.074875Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:483772df4f9edbb9cd15e7776d735c7e5c09b01b249ab8876bcd891969d81545","observation_id":"f4d3f3b0-6611-4f98-b3d7-57b09dc7bb30","resolution":{"observed_at":"2026-08-04T13:54:26.074875Z","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":"2026-08-04T13:54:26.304742Z","title":"@esa (Ref","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:26.304742Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:cbe3955c921c81a782fdb1996f746cc339c136b931de2284ea33ae77dc8037d1","observation_id":"0837d296-7cd1-4804-ae8f-4f288f00ab3f","resolution":{"observed_at":"2026-08-04T13:54:26.304742Z","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":"2026-08-04T13:54:26.475654Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:26.475654Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:a514ade5e59b4d2804ffeb03cfce8bcbdd6f35d5ef3f154b400255a43bd8e455","observation_id":"ffd0a576-60a5-45b5-a87a-d956a9d50540","resolution":{"observed_at":"2026-08-04T13:54:26.475654Z","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":"2026-08-04T13:54:26.814792Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp","version":4},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-04T13:54:26.814792Z"},"links":{"citing_paper":"/paper/2509.24894"},"observation_digest":"sha256:4922b5449ef7f98141a44fd30f64d592037d4f44681427c5672a382da6821687","observation_id":"a0d86132-cf73-4f2a-9071-f39b45de6d43","resolution":{"observed_at":"2026-08-04T13:54:26.814792Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.24894","last_updated":"2026-06-18T13:27:17Z","latest_version":4,"primary_category":"math.OC","snapshot_observed_at":"2026-08-06T13:05:50.374027Z","submitted_at":"2025-09-29T15:03:55Z","title":"Improved Stochastic Optimization of LogSumExp"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":41,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":41},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2509.24894."}