{"as_of":"2026-08-09T21:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:61b909bdee1ed256fb59069a9f7a719d4721f79bdc5612b251691db577f32809","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":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":29,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T14:42:47.768849Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":37,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":"2105.15183","doi":"10.48550/arxiv.2105.15183","metadata_source":"arxiv_reference","pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient and Modular Im- plicit Differentiation","venue":"arXiv (Cornell University)","work_id":"54f8b474-afac-46b2-8caf-8911cfa7f72f","year":2021},"citing_paper":{"arxiv_id":"2501.04776","last_updated":"2026-05-07T15:27:16Z","snapshot_observed_at":"2026-08-05T02:15:57.223362Z","submitted_at":"2025-01-08T19:00:02Z","title":"IQPopt: Fast optimization of instantaneous quantum polynomial circuits in JAX","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-23T05:35:50.375623Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2501.04776"},"observation_digest":"sha256:9a98b9f7615236c0795c3b11491dad63531195207b18953862f1df06dfa9b3e1","observation_id":"820deeb9-0840-475a-9526-383bd2c61638","resolution":{"observed_at":"2026-05-23T05:37:36.940121Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-09T14:42:47.768849Z","title":"2021, arXiv preprint arXiv:2105.15183","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.01745","last_updated":"2025-04-11T09:43:11Z","snapshot_observed_at":"2026-08-09T14:51:43.726786Z","submitted_at":"2025-02-03T19:00:05Z","title":"$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-09T14:42:47.768849Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2502.01745"},"observation_digest":"sha256:e87df417b6e9ae8725014075536f0ec3aea15e0b3e7aeca3a862428bb53742b2","observation_id":"304e4df9-bba4-4d40-b996-350a47fc9446","resolution":{"observed_at":"2026-08-09T14:42:47.768849Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-07T12:45:12.009025Z","title":"Blondel, Q","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.23940","last_updated":"2025-05-29T18:47:07Z","snapshot_observed_at":"2026-08-09T10:21:25.490962Z","submitted_at":"2025-05-29T18:47:07Z","title":"Diff-FlowFSI: A GPU-Optimized Differentiable CFD Platform for High-Fidelity Turbulence and FSI Simulations","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:12.009025Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2505.23940"},"observation_digest":"sha256:5dba338960acf7f0dca2545783fb60109faa7f7c7e48ffdc8f160b3447285a2e","observation_id":"ff135c43-43b2-492f-b411-e03777afa6f0","resolution":{"observed_at":"2026-08-07T12:45:12.009025Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-07T12:41:04.408015Z","title":"Efficient and modular implicit differentiation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24068","last_updated":"2025-05-29T23:20:07Z","snapshot_observed_at":"2026-08-09T17:31:57.556954Z","submitted_at":"2025-05-29T23:20:07Z","title":"DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:04.408015Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2505.24068"},"observation_digest":"sha256:99f517a6e2a7bc5e9258d43761b8303638c4c3d6e9e2077bc3ba2f35a447f105","observation_id":"a94d8511-09f1-4fa8-a831-b690b541a966","resolution":{"observed_at":"2026-08-07T12:41:04.408015Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-07T04:20:26.167964Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.10872","last_updated":"2025-08-01T22:10:35Z","snapshot_observed_at":"2026-08-07T04:13:14.097277Z","submitted_at":"2025-06-12T16:38:51Z","title":"The Gittins Index: A Design Principle for Decision-Making Under Uncertainty","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T04:20:26.167964Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2506.10872"},"observation_digest":"sha256:a0bc5de86abb906ae3a9286a8ab80b2b81025bfdf1392f8f01cba36deba6697e","observation_id":"4146ce44-3609-42f0-8f82-8ace56b0a705","resolution":{"observed_at":"2026-08-07T04:20:26.167964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-06T22:26:53.834564Z","title":"Efficient and Modular Implicit Differentiation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.21776","last_updated":"2025-06-26T21:22:43Z","snapshot_observed_at":"2026-08-09T19:03:33.567857Z","submitted_at":"2025-06-26T21:22:43Z","title":"rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T22:26:53.834564Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2506.21776"},"observation_digest":"sha256:c0c1b32a7d07c1d9bb858481cbcb2512972cccc0ebce37f5876854a32187087a","observation_id":"8a7dde30-bceb-4b30-8f08-cb6e1af8692d","resolution":{"observed_at":"2026-08-06T22:26:53.834564Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-06T19:31:00.595705Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.05441","last_updated":"2025-07-07T19:45:46Z","snapshot_observed_at":"2026-08-09T08:00:50.011224Z","submitted_at":"2025-07-07T19:45:46Z","title":"Adversarial Machine Learning Attacks on Financial Reporting via Maximum Violated Multi-Objective Attack","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T19:31:00.595705Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2507.05441"},"observation_digest":"sha256:6628d631fc9050b75efbeb340f293b59a2a04a4d1170beb814e3d64c63ec4fe7","observation_id":"e8d61b8d-e3f7-4f99-b0df-0a16fda74e13","resolution":{"observed_at":"2026-08-06T19:31:00.595705Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-06T05:51:42.429518Z","title":"2021, arXiv e-prints, arXiv:2105.15183, doi: 10.48550/arXiv.2105.15183","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.01281","last_updated":"2025-08-02T09:25:56Z","snapshot_observed_at":"2026-08-06T05:51:41.276552Z","submitted_at":"2025-08-02T09:25:56Z","title":"Unveiling the Atmosphere of HR 7672 B from the Near-Infrared High-Resolution Spectrum Using REACH/Subaru","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T05:51:42.429518Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2508.01281"},"observation_digest":"sha256:ac5490a08415f1d49443fbaf115b04374c6d25926bfc9640b2ee8ab162f0a162","observation_id":"8441cb21-9465-40cc-ae24-b233cc475384","resolution":{"observed_at":"2026-08-06T05:51:42.429518Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-04T15:45:51.759713Z","title":"Efficient and modular implicit differentiation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.19484","last_updated":"2026-05-27T04:54:43Z","snapshot_observed_at":"2026-08-07T08:54:05.638154Z","submitted_at":"2025-09-23T18:44:56Z","title":"linrax: A JAX Compatible, Simplex Method Linear Program Solver","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T15:45:51.759713Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2509.19484"},"observation_digest":"sha256:c32fbdcaa664b69f82dbcb11a588dac5ae6c3a17de20ff487f143c5fea251a75","observation_id":"3038cd6a-b4b9-4224-bb6a-2f2eaae4ffff","resolution":{"observed_at":"2026-08-04T15:45:51.759713Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-04T09:03:59.781650Z","title":"Blondel, Q","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.17677","last_updated":"2026-07-18T20:09:34Z","snapshot_observed_at":"2026-08-07T12:50:59.549300Z","submitted_at":"2025-10-20T15:49:39Z","title":"General Purpose Inverse Design of Heterogeneous Finite-Sized Assemblies","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T09:03:59.781650Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2510.17677"},"observation_digest":"sha256:e93ad7cec5350a4c0772f60044605340374d37070aad253aab41e7e355fdac67","observation_id":"2592c71d-eafe-4093-947f-ce940d92e427","resolution":{"observed_at":"2026-08-04T09:03:59.781650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-03T23:15:46.831264Z","title":"Blondel, Q","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.17545","last_updated":"2026-06-05T11:50:58Z","snapshot_observed_at":"2026-08-03T23:15:37.877906Z","submitted_at":"2025-11-10T10:17:55Z","title":"Resource-Efficient Quantum Optimization via Higher-Order Encoding","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-03T23:15:46.831264Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2511.17545"},"observation_digest":"sha256:7baf4a186d1e23127c0e04e8b9892639e406be5deae9e891434394475fba7813","observation_id":"d4a4efbf-9c55-4b43-817d-fcc2c7ab605b","resolution":{"observed_at":"2026-08-03T23:15:46.831264Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":"2105.15183","doi":"10.48550/arxiv.2105.15183","metadata_source":"arxiv_reference","pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient and Modular Im- plicit Differentiation","venue":"arXiv (Cornell University)","work_id":"54f8b474-afac-46b2-8caf-8911cfa7f72f","year":2021},"citing_paper":{"arxiv_id":"2512.08666","last_updated":"2026-04-28T15:03:38Z","snapshot_observed_at":"2026-08-03T01:01:56.093356Z","submitted_at":"2025-12-09T14:52:04Z","title":"Stochastic gravitational-wave background search using data from five pulsar timing arrays","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-17T00:05:42.521526Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2512.08666"},"observation_digest":"sha256:21d0178c08d84f4f055df25b16e60336b1313cd29867f74c83842f92e2392c69","observation_id":"71b9dbc0-3023-4d7c-be2a-287812ae14d9","resolution":{"observed_at":"2026-05-17T00:08:43.363222Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":"2105.15183","doi":"10.48550/arxiv.2105.15183","metadata_source":"arxiv_reference","pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient and Modular Im- plicit Differentiation","venue":"arXiv (Cornell University)","work_id":"54f8b474-afac-46b2-8caf-8911cfa7f72f","year":2021},"citing_paper":{"arxiv_id":"2605.03542","last_updated":"2026-06-25T03:33:09Z","snapshot_observed_at":"2026-08-07T14:03:06.394817Z","submitted_at":"2026-05-05T09:14:38Z","title":"Random test functions, $H^{-1}$ norm equivalence, and stochastic variational physics-informed neural networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-07T14:58:26.215360Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2605.03542"},"observation_digest":"sha256:5018be6c86a003cd668796f08df0644a2b96fc1706b66d953daaa6a8cc1d1668","observation_id":"697cfd5f-3793-4735-afb0-1a75d597d451","resolution":{"observed_at":"2026-05-12T10:51:31.864998Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":"2105.15183","doi":"10.48550/arxiv.2105.15183","metadata_source":"arxiv_reference","pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient and Modular Im- plicit Differentiation","venue":"arXiv (Cornell University)","work_id":"54f8b474-afac-46b2-8caf-8911cfa7f72f","year":2021},"citing_paper":{"arxiv_id":"2605.03542","last_updated":"2026-06-25T03:33:09Z","snapshot_observed_at":"2026-08-07T14:03:06.394817Z","submitted_at":"2026-05-05T09:14:38Z","title":"Random test functions, $H^{-1}$ norm equivalence, and stochastic variational physics-informed neural networks","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-01T00:18:59.301975Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2605.03542"},"observation_digest":"sha256:c951cb5503653e63a91d2c432641dafbcbf2a55cb872716a9f9417690b3a2284","observation_id":"f9165186-51d7-42ba-827b-345573f62893","resolution":{"observed_at":"2026-07-01T00:25:09.689270Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":"2105.15183","doi":"10.48550/arxiv.2105.15183","metadata_source":"arxiv_reference","pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient and Modular Im- plicit Differentiation","venue":"arXiv (Cornell University)","work_id":"54f8b474-afac-46b2-8caf-8911cfa7f72f","year":2021},"citing_paper":{"arxiv_id":"2605.28757","last_updated":"2026-05-27T17:18:11Z","snapshot_observed_at":"2026-08-07T17:57:05.629602Z","submitted_at":"2026-05-27T17:18:11Z","title":"Learning Approximate Solutions to Multiparametric Generalized Nash Equilibrium Problems","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-29T10:25:07.252952Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2605.28757"},"observation_digest":"sha256:57cd787dca63103844a9dc17262daebc5242683c1a3dc9d55a25d3c4cfbaba1a","observation_id":"510747fa-e569-4e3a-9dba-756a9bca93ed","resolution":{"observed_at":"2026-06-29T13:33:28.568171Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":"2105.15183","doi":"10.48550/arxiv.2105.15183","metadata_source":"arxiv_reference","pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient and Modular Im- plicit Differentiation","venue":"arXiv (Cornell University)","work_id":"54f8b474-afac-46b2-8caf-8911cfa7f72f","year":2021},"citing_paper":{"arxiv_id":"2606.02294","last_updated":"2026-06-01T14:16:18Z","snapshot_observed_at":"2026-08-06T02:40:12.407253Z","submitted_at":"2026-06-01T14:16:18Z","title":"Regularized Large Neighborhood Search","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-06-28T15:15:11.130848Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2606.02294"},"observation_digest":"sha256:979182c03249e55d4ff4b98dcd96a612367e0d2aae725eba1d1a94d04df51f70","observation_id":"2a124889-6c12-4e3d-a6d6-60b767f44688","resolution":{"observed_at":"2026-06-28T15:22:19.682987Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":"2105.15183","doi":"10.48550/arxiv.2105.15183","metadata_source":"arxiv_reference","pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient and Modular Im- plicit Differentiation","venue":"arXiv (Cornell University)","work_id":"54f8b474-afac-46b2-8caf-8911cfa7f72f","year":2021},"citing_paper":{"arxiv_id":"2606.06641","last_updated":"2026-06-04T18:47:45Z","snapshot_observed_at":"2026-07-06T23:46:24.981618Z","submitted_at":"2026-06-04T18:47:45Z","title":"Accelerated Fourier SAT (AFSAT): Fully Realising a GPU-based Symmetric Pseudo-Boolean SAT Solver","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-06-28T00:53:36.547509Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2606.06641"},"observation_digest":"sha256:1b2e032d3cfa4d870bf3769b423c14ea71726252c55365bb8f95265f0c71dea4","observation_id":"5086ce74-9098-47a0-b9da-fe7b0dc5618d","resolution":{"observed_at":"2026-07-02T13:56:59.434002Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":"2105.15183","doi":"10.48550/arxiv.2105.15183","metadata_source":"arxiv_reference","pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient and Modular Im- plicit Differentiation","venue":"arXiv (Cornell University)","work_id":"54f8b474-afac-46b2-8caf-8911cfa7f72f","year":2021},"citing_paper":{"arxiv_id":"2606.06656","last_updated":"2026-06-08T15:19:28Z","snapshot_observed_at":"2026-08-07T10:47:31.900978Z","submitted_at":"2026-06-04T19:03:32Z","title":"A Study of Parallel Continuous Local Search","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-06-28T00:58:22.223803Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2606.06656"},"observation_digest":"sha256:4e66771ed59b8777157807be27e21a6a4dfaf7395ee09f6eff2ded7d27537da4","observation_id":"3adb0ba8-ab36-4593-a47f-feb448b4014c","resolution":{"observed_at":"2026-07-02T13:46:59.759412Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":"2105.15183","doi":"10.48550/arxiv.2105.15183","metadata_source":"arxiv_reference","pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient and Modular Im- plicit Differentiation","venue":"arXiv (Cornell University)","work_id":"54f8b474-afac-46b2-8caf-8911cfa7f72f","year":2021},"citing_paper":{"arxiv_id":"2606.06868","last_updated":"2026-06-05T03:35:52Z","snapshot_observed_at":"2026-07-06T23:46:37.903443Z","submitted_at":"2026-06-05T03:35:52Z","title":"The mass of TOI-1883 b: A low density super-Neptune in the ridge regime transiting an early-M dwarf","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-06-27T21:18:48.013062Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2606.06868"},"observation_digest":"sha256:03cf321b9f283f0c93689ac71c728b10da8c8a87ddd1dc84f836f01e1ef571f9","observation_id":"d9d62ec3-7cd5-4865-bb03-729662e63583","resolution":{"observed_at":"2026-07-02T19:47:19.696884Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":"2105.15183","doi":"10.48550/arxiv.2105.15183","metadata_source":"arxiv_reference","pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient and Modular Im- plicit Differentiation","venue":"arXiv (Cornell University)","work_id":"54f8b474-afac-46b2-8caf-8911cfa7f72f","year":2021},"citing_paper":{"arxiv_id":"2606.11983","last_updated":"2026-06-10T12:04:15Z","snapshot_observed_at":"2026-08-07T17:15:05.328237Z","submitted_at":"2026-06-10T12:04:15Z","title":"Calibration of an Analog-to-Digital Conversion Nonlinearity in JWST/NIRISS","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-27T08:23:29.937229Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2606.11983"},"observation_digest":"sha256:6462e32ccca657de2b885744d5240640c3d780a44c46763711a01ea1d4fbf065","observation_id":"fbd4e464-c391-44b4-956d-97309c15a054","resolution":{"observed_at":"2026-07-03T13:08:09.047812Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":"2105.15183","doi":"10.48550/arxiv.2105.15183","metadata_source":"arxiv_reference","pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient and Modular Im- plicit Differentiation","venue":"arXiv (Cornell University)","work_id":"54f8b474-afac-46b2-8caf-8911cfa7f72f","year":2021},"citing_paper":{"arxiv_id":"2606.23155","last_updated":"2026-06-22T11:00:43Z","snapshot_observed_at":"2026-08-06T20:28:13.228368Z","submitted_at":"2026-06-22T11:00:43Z","title":"Neural Parameter Calibration for Finite-State Mean Field Games","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-06-26T06:23:24.817338Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2606.23155"},"observation_digest":"sha256:5f619d76583e6c6d2c11a28b875ea7c10fb420f65138c03cd2765410fd1ce6b4","observation_id":"b27ca84f-50e8-4431-b7f8-433e10fbb8f1","resolution":{"observed_at":"2026-06-26T06:29:04.182835Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":"2105.15183","doi":"10.48550/arxiv.2105.15183","metadata_source":"arxiv_reference","pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient and Modular Im- plicit Differentiation","venue":"arXiv (Cornell University)","work_id":"54f8b474-afac-46b2-8caf-8911cfa7f72f","year":2021},"citing_paper":{"arxiv_id":"2606.26341","last_updated":"2026-06-24T19:34:41Z","snapshot_observed_at":"2026-08-08T01:39:29.060712Z","submitted_at":"2026-06-24T19:34:41Z","title":"Scaling Nonlinear Optimization: Many Problems One GPU","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-26T01:44:36.151409Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2606.26341"},"observation_digest":"sha256:ccfe8c8075566531d0c2e521c8534f75844f8e713412a02b1094374c6403651f","observation_id":"be7a7748-3b66-4cac-94e5-f5c56cf183a4","resolution":{"observed_at":"2026-07-04T15:19:56.324324Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":"2105.15183","doi":"10.48550/arxiv.2105.15183","metadata_source":"arxiv_reference","pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient and Modular Im- plicit Differentiation","venue":"arXiv (Cornell University)","work_id":"54f8b474-afac-46b2-8caf-8911cfa7f72f","year":2021},"citing_paper":{"arxiv_id":"2606.31620","last_updated":"2026-06-30T13:08:44Z","snapshot_observed_at":"2026-08-08T09:46:48.817117Z","submitted_at":"2026-06-30T13:08:44Z","title":"Designing bistable nanostructures for target behavior","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-01T03:05:41.673131Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2606.31620"},"observation_digest":"sha256:fc2129ac9ad895663670586fe44e173a19c68f8d6c2aaf51c7b7c7eff519f256","observation_id":"5448024d-870e-4cf6-b184-2e8619ebb850","resolution":{"observed_at":"2026-07-01T03:25:19.915039Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-07-14T15:54:13.658127Z","title":"Blondel, Q","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.07204","last_updated":"2026-07-13T15:49:20Z","snapshot_observed_at":"2026-07-16T23:19:40.344642Z","submitted_at":"2026-07-08T09:36:45Z","title":"Restricted Dynamic Geometric Complexity: Path-Space Reduction and M\\\"obius--Jacobi Response","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-14T15:54:13.658127Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2607.07204"},"observation_digest":"sha256:356c10e503a7203df84637033f122c24f75f0ee88fd6108710dcb98b359262df","observation_id":"eb079b92-e265-44e3-824c-ed5445cb10ea","resolution":{"observed_at":"2026-07-14T15:54:13.658127Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-02T00:28:20.271212Z","title":"Blondel, Q","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.15030","last_updated":"2026-07-16T14:13:33Z","snapshot_observed_at":"2026-08-08T01:37:35.418095Z","submitted_at":"2026-07-16T14:13:33Z","title":"Implicit differentiation of tensor network algorithms","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-02T00:28:20.271212Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2607.15030"},"observation_digest":"sha256:c0c01beb393f95c072a2d133d00742c0a36d366176196ea0a3e30ccc370b2c08","observation_id":"c213f3cb-e7d0-4886-a8af-b29224673197","resolution":{"observed_at":"2026-08-02T00:28:20.271212Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-01T04:28:45.370399Z","title":"arXiv preprint arXiv:2105.15183 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22822","last_updated":"2026-07-28T14:26:38Z","snapshot_observed_at":"2026-08-08T13:40:23.196087Z","submitted_at":"2026-07-24T18:01:06Z","title":"BOSS-CLAM: Utilizing a Constrained Linear Absorption Model to Infer Stellar Parameters from BOSS Spectra","version":2},"reference_index":133,"source":"arxiv_source","source_observed_at":"2026-08-01T04:28:45.370399Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2607.22822"},"observation_digest":"sha256:cb377ed29569cec186274e226175f073a212c4f791b6b5ffd5db75467593a959","observation_id":"0e0a312b-63fc-45ad-8787-600a403b70c9","resolution":{"observed_at":"2026-08-01T04:28:45.370399Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-01T03:22:51.464995Z","title":"Blondel, Q","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.23202","last_updated":"2026-07-25T13:47:31Z","snapshot_observed_at":"2026-08-07T02:23:45.690325Z","submitted_at":"2026-07-25T13:47:31Z","title":"jaxdae: A JAX-native Differentiable Solver for Differential-Algebraic Equations in Coupled Multi-physics","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-01T03:22:51.464995Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2607.23202"},"observation_digest":"sha256:9a1c80cdc46ae4e81d5905182f3b78738d35f4d9c709f3c13d336ce6cb2063d4","observation_id":"06c461d8-2df6-4829-8fd5-b3ea4ca8d48b","resolution":{"observed_at":"2026-08-01T03:22:51.464995Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-06T00:32:51.168843Z","title":"arXiv e-prints , keywords =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01163","last_updated":"2026-08-02T11:35:27Z","snapshot_observed_at":"2026-08-08T07:30:29.325795Z","submitted_at":"2026-08-02T11:35:27Z","title":"AGN Reverberation Mapping with LITMUS: Fundamental Limits on lag Recovery Rates","version":1},"reference_index":170,"source":"arxiv_source","source_observed_at":"2026-08-06T00:32:51.168843Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2608.01163"},"observation_digest":"sha256:03f77726a64ca14776f4c20dc1f5fadfc32caa22ca6d94f1de728a00d2f3f10b","observation_id":"cf69f6c1-4ae8-4178-b039-7fb59f692b65","resolution":{"observed_at":"2026-08-06T00:32:51.168843Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.15183","snapshot_observed_at":"2026-08-06T12:29:55.524542Z","title":"Blondel, Q","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.04979","last_updated":"2026-08-05T15:51:17Z","snapshot_observed_at":"2026-08-09T10:59:43.034742Z","submitted_at":"2026-08-05T15:51:17Z","title":"Delocalized Coupled-Cluster Theory for Polaron Structure and Dynamics","version":1},"reference_index":131,"source":"pdf_text","source_observed_at":"2026-08-06T12:29:55.524542Z"},"links":{"cited_paper":"/paper/2105.15183","citing_paper":"/paper/2608.04979"},"observation_digest":"sha256:02a983c7ddafe1c119eaf06ddf7a62d24606465f44e8d1d45856f6ff569c524e","observation_id":"862f4944-52dc-496e-9277-874450dd1baf","resolution":{"observed_at":"2026-08-06T12:29:55.524542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2105.15183/citation-record","integrity":"/paper/2105.15183/integrity","json":"/paper/2105.15183/citation-record.json","paper":"/paper/2105.15183"},"outbound":[],"paper":{"arxiv_id":"2105.15183","last_updated":"2022-10-12T09:51:43Z","latest_version":5,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T11:14:31.306862Z","submitted_at":"2021-05-31T17:45:58Z","title":"Efficient and Modular Implicit Differentiation"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2105.15183."}