{"as_of":"2026-08-13T02:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c3a700e5767e49372a4f6e0181d83a2a5afe93d8fabf475c0fe30f216a9cd63e","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T15:50:11.180928Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2411.13914/citation-record","integrity":"/paper/2411.13914/integrity","json":"/paper/2411.13914/citation-record.json","paper":"/paper/2411.13914"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.735798Z","title":"Neurobiological models of two-choice decision making can be reduced to a one-dimensional nonlinear diffusion equation,","venue":null,"work_id":"cdaffca1-cf39-4449-bcc1-c6c03b5c76d7","year":2008},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.014651Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:d7300568037d15405625666afb926b6e0ca853db316eb8bc8290d77ca5834d24","observation_id":"492e43b8-aaee-4ebe-ae22-9fc09bd305bc","resolution":{"observed_at":"2026-08-12T15:50:11.740651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.722727Z","title":"Dynamic decision making: Human control of complex systems,","venue":null,"work_id":"276a9d3f-c598-46cc-807b-b1e3b8dd95a7","year":1992},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.019974Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:4cd87d6e061797bf33e69e6b2617881702b152004064ed72897ae77e866c7640","observation_id":"52277030-8ac0-4b92-bdab-7c4b272a4650","resolution":{"observed_at":"2026-08-12T15:50:11.726918Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.708503Z","title":"A scalable safety critical control framework for nonlinear systems,","venue":null,"work_id":"77dedf7e-108e-4e07-8173-1d87184ac599","year":2020},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.024426Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:19a66c1cfca098a50898e0225328f3a1ec55b65aa4017c543aebd4e61052165b","observation_id":"6e490c27-b7fd-45c8-a02a-8e4f245c4832","resolution":{"observed_at":"2026-08-12T15:50:11.713617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.694287Z","title":"Overt: An algorithm for safety verification of neural network control policies for nonlinear systems,","venue":null,"work_id":"63847a4a-c3c6-4a24-8b20-660fd5957a97","year":2022},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.029980Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:2116d0844041d49dabd2fbb6118801e1fcde785ccb1e6549b993af3ff6af20fc","observation_id":"aa9f56a8-b84f-430b-aeb6-b07d75a49716","resolution":{"observed_at":"2026-08-12T15:50:11.699008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.681198Z","title":"Neural ordinary differential equations,","venue":null,"work_id":"4fbf6962-05cd-43c5-b7f4-2761e7da85c3","year":2018},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.035007Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:01bc4eed962e3f3a836b04df962ec10a915f400e52c8f7df46053aadc5f6f326","observation_id":"edb41f64-12a7-4a59-90c0-69377f34c208","resolution":{"observed_at":"2026-08-12T15:50:11.685313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.667232Z","title":"Augmented neural ODEs,","venue":null,"work_id":"5105af92-bc95-418d-a6f6-bc115686f0e3","year":2019},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.039636Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:bcb56b844d30b13eb3c00f9a8127cc265346d606e6c286a93d34b9790eb0b00f","observation_id":"e8b441b8-bce0-459b-b38a-f97ce3f2c250","resolution":{"observed_at":"2026-08-12T15:50:11.671859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.653066Z","title":"Stable neural ODE with Lyapunov-stable equilibrium points for defending against adversarial attacks,","venue":null,"work_id":"5d1c3be4-686c-4dff-a28d-8d98fe19a358","year":2021},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.044473Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:aa711a21057dd679d1c86d4e4dd9a9c587c1ceddc039fc72be14b62c709c3a93","observation_id":"bc4d7fb4-1325-49fa-bf84-bf8406429a0b","resolution":{"observed_at":"2026-08-12T15:50:11.658104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.638671Z","title":"Stabilized neural differential equations for learning dynamics with explicit constraints,","venue":null,"work_id":"20ad9e19-c15f-48b0-9096-3f312d71abb8","year":2024},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.048315Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:a87aa50295fecca8cd849575e7a4d2050ebcaa9a902a9a9578baa60ff9eb4859","observation_id":"e88b8cf5-8479-402d-ad1e-d43ff62b0528","resolution":{"observed_at":"2026-08-12T15:50:11.643242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.624737Z","title":"Data-driven methods applied to soft robot modeling and control: A review,","venue":null,"work_id":"148f32f9-b944-4e7e-bcdb-6af4347cae14","year":2024},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.052413Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:82cb6fa7ab1791929d3cb61beb38ad889a0f77690c35c61831d30905382da7c3","observation_id":"e0ce1736-c580-46d0-bd6c-2d75a571e742","resolution":{"observed_at":"2026-08-12T15:50:11.629122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.609669Z","title":"Robust tracking control of heterogeneous robots with uncertainty: A super-exponential convergence neurodynamic approach,","venue":null,"work_id":"581dbb48-2fdc-4f62-b005-2a75e835635e","year":2023},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.057135Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:43c41541200100d819c00797f7a79c06b59d49fb68a2b611db0a7f29b8a16cd8","observation_id":"f0287050-1a45-4f6e-a712-ef3d6583f5c7","resolution":{"observed_at":"2026-08-12T15:50:11.614168Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.595801Z","title":"Neural network stochastic differential equation models with applications to financial data forecast- ing,","venue":null,"work_id":"331b9412-4cbc-4b5f-82f1-71e683499aa9","year":2023},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.061777Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:73d8857931a60e64854c34c70a23e52e7ff1ee5889efe19938e714cd8236473c","observation_id":"4a9cf942-1863-48da-97c7-d6f925a7db35","resolution":{"observed_at":"2026-08-12T15:50:11.600098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.581731Z","title":"Towards neural earth system modelling by integrating artificial intelligence in earth system science,","venue":null,"work_id":"56d80c5d-a577-4077-8c3d-08fb059239c3","year":2021},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.066156Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:62a3dca822788d2a9f9a6b5f248fd797f80cb04a46a7fc295e0c6db3abbc8087","observation_id":"1475b0fa-2c9e-4fd8-af9a-8c022a309c76","resolution":{"observed_at":"2026-08-12T15:50:11.586350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.565323Z","title":"Ankle joint torque estimation using an emg-driven neuromusculoskeletal model and an artificial neural network model,","venue":null,"work_id":"5b806262-9dd0-4b3c-839c-89ec6e0838a2","year":2021},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.070579Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:760877a541ba997ca52afcc395c7015b30385591fcf0c7dfed73be37ab14ef06","observation_id":"34c5668f-9a17-47d6-8590-440b764c1945","resolution":{"observed_at":"2026-08-12T15:50:11.570102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.551740Z","title":"Neural controlled differential equations for irregular time series,","venue":null,"work_id":"968a98da-3a41-439c-aec4-2f937fea400f","year":2020},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.075252Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:723063e4366f6f8fe21e0389c02b1b43e28965047ddd421bd24a18f714e5e034","observation_id":"80ad65a0-5c81-479c-8f9b-5615e08bada2","resolution":{"observed_at":"2026-08-12T15:50:11.556165Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.534039Z","title":"Lyanet: A Lyapunov frame- work for training neural ODEs,","venue":null,"work_id":"2e4a6046-6fa9-4f91-8d2c-3c0a539959e8","year":2022},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.079399Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:ff33023fe10de35d37e448ddbb76b3ad40f6d7cabfe3a631577e7dc3c0f9721c","observation_id":"84dc8d88-c1a8-496a-af74-4a51ca915883","resolution":{"observed_at":"2026-08-12T15:50:11.539461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.08063","last_updated":"2020-03-18T06:27:21Z","snapshot_observed_at":"2026-08-12T10:26:08.264541Z","submitted_at":"2020-03-18T06:27:21Z","title":"Stable Neural Flows","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.08063","snapshot_observed_at":"2026-08-12T15:50:11.083562Z","title":"Stable neural flows,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.083562Z"},"links":{"cited_paper":"/paper/2003.08063","citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:7337e922a89fa70a21da51e1725be0e268a9846423e7a8f3a4c0c1466a37c0aa","observation_id":"67a8ad34-7f59-4175-9c29-c37e04b2e204","resolution":{"observed_at":"2026-08-12T15:50:11.083562Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.516829Z","title":"Robust classification using contractive Hamiltonian neural ODEs,","venue":null,"work_id":"24e75a9d-2ecc-4231-bf04-1e30849de0c5","year":2022},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.088135Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:b6458badc41364da3918a2e8b745513271573ff2a77ae76271243fc6fca219dc","observation_id":"11498903-b085-4678-a91b-864cab5e6425","resolution":{"observed_at":"2026-08-12T15:50:11.522121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.503431Z","title":"Learning stabilizable dynamical systems via control contraction metrics,","venue":null,"work_id":"9b457c30-504f-4a08-88ba-6fac7fc5fe20","year":2018},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.092040Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:a72074ba7c02127ffb7ee1bad039d952952cacaebb1eae2b10caa670a5402e30","observation_id":"573e5ae4-ab9f-4e13-b489-6a1c2e68901b","resolution":{"observed_at":"2026-08-12T15:50:11.507676Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.488279Z","title":"Vid- ode: Continuous-time video generation with neural ordinary differential equation,","venue":null,"work_id":"4070a1fc-cc8a-4ee8-ac79-082f6f33dbed","year":2021},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.095824Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:751055c78a03ce6fc7966e9fd159b8b68d0e0fef66e8dd40919365ed96d44dea","observation_id":"c1bb20da-dd15-4418-ad23-f27257a32960","resolution":{"observed_at":"2026-08-12T15:50:11.493455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.472871Z","title":"Deep learning adapted to differential neural networks used as pattern classifi- cation of electrophysiological signals,","venue":null,"work_id":"caa1f5c4-c10f-46d7-a96e-afe7a9c21c04","year":2021},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.100985Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:f484b8b6bac29342763707cae240014013edbe72959998881f6c413c3580acac","observation_id":"f0810276-24c6-4fdc-84d0-ec4e66ada9d6","resolution":{"observed_at":"2026-08-12T15:50:11.478240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.456161Z","title":"Physics-informed neural networks for the shallow-water equations on the sphere,","venue":null,"work_id":"41914398-8f16-48a3-826d-f4538269d9d8","year":2022},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.105550Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:988aec300b3e831d0317476788b70f801fc1f1713d76a2541c17c42688b6add5","observation_id":"f88b709e-8aeb-4335-b0ac-b84770ee47d6","resolution":{"observed_at":"2026-08-12T15:50:11.461043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:50:11.109584Z","title":"Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.109584Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:9a2169c6ebf17be77353f9da3239ae4c6672b5937724ad641416a774929e4ebc","observation_id":"5a69968d-813b-4fda-bb7e-cea55963aa95","resolution":{"observed_at":"2026-08-12T15:50:11.109584Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.430943Z","title":"Towards complex dy- namic physics system simulation with graph neural ordinary equations,","venue":null,"work_id":"60ce5485-2615-488b-9318-6d275247d77d","year":2024},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.113522Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:90d27a4b90ca5a30b08a36b67b68fa87d34277b07e35af33f34cc0bf37ce0c41","observation_id":"c0242896-4339-4ce8-8f8b-b5f8ef550ea1","resolution":{"observed_at":"2026-08-12T15:50:11.435147Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.416284Z","title":"Stochastic physics-informed neural ordinary differential equations,","venue":null,"work_id":"5efb8be5-a7b4-4dc3-8dfc-8ce7bfbab6d9","year":2022},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.117580Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:12e8b16af2ba3af48f02ffddb51c0fdce04b40acdd32976abdae0e7837988f78","observation_id":"5f383d88-81ba-4ada-8204-20ffc64a8d3c","resolution":{"observed_at":"2026-08-12T15:50:11.421041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.401363Z","title":"Hamiltonian neural net- works,","venue":null,"work_id":"74ed845a-5e16-4c48-b4f8-7d60c234e327","year":2019},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.122445Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:d27d9f516a08d1a832bf5514fec8c13e78ee5d6aaf52e0a17012dba979b6998a","observation_id":"09eb56fc-ba77-4928-ad29-3b7b755d8694","resolution":{"observed_at":"2026-08-12T15:50:11.406729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.04630","last_updated":"2020-07-30T05:22:58Z","snapshot_observed_at":"2026-08-04T10:05:44.957260Z","submitted_at":"2020-03-10T10:55:25Z","title":"Lagrangian Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.04630","snapshot_observed_at":"2026-08-12T15:50:11.126430Z","title":"Lagrangian neural networks,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.126430Z"},"links":{"cited_paper":"/paper/2003.04630","citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:7a6bc3451329e10c123e54f3b8fde8b02151531ecfafcacea03e803ec28a3203","observation_id":"49a6a812-3847-4b31-bd5b-b92aa55fcb29","resolution":{"observed_at":"2026-08-12T15:50:11.126430Z","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":"2026-08-12T15:50:11.130711Z","title":"On contraction analysis for non-linear systems,","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.130711Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:ac00142ec598db2db7bd724935d70dc3fe0e2f1c4a83afbd7a000d7b7163a49f","observation_id":"3ba93cac-e7d9-4e43-abe6-04a513800e4a","resolution":{"observed_at":"2026-08-12T15:50:11.130711Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.375501Z","title":"Rigid-body attitude control,","venue":null,"work_id":"704ae4ac-1824-4d8b-b649-27e791ad95d8","year":2011},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.134640Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:ceb6ac0f289afb528cf45c3026f35f6986815e995f2eee6282fcde2d006daaf3","observation_id":"4f7db4b9-eb99-4410-ae8a-97330565725a","resolution":{"observed_at":"2026-08-12T15:50:11.380235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.360672Z","title":"Stochastic self-modulation of waves in nonequilibrium media,","venue":null,"work_id":"3ca6097c-a0ef-4d4a-829c-73c3e6668a1e","year":1979},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.138740Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:ffe58fa4aaee8da7d0d3741fbf7b790e9e7660433a3b271ee9ff8f1edef6bab9","observation_id":"a2595490-1347-4261-ae60-35eb2d919dc1","resolution":{"observed_at":"2026-08-12T15:50:11.365140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.345409Z","title":"Modelization and experimental studies on the control of the glycolytic-glycogenolytic pathway in rat liver,","venue":null,"work_id":"ae0d9d73-979a-4024-af88-1dcd8f484183","year":1994},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.143477Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:504d81a23d9e8f4ea43ae5d86081a515c7f49c0e725d1cbc1bf2973e3d4cf6e4","observation_id":"2eca828a-d0dc-4f47-a601-4faa723e03ba","resolution":{"observed_at":"2026-08-12T15:50:11.350644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.327995Z","title":"Intervention in biological phenomena via feedback linearization,","venue":null,"work_id":"1ae8e1a7-a8ae-4b68-8165-8e259ce35fb1","year":2012},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.147773Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:e0dc9189f49fa5c5b976ae80408a1b581f039616928375537357b5709f7cd0e5","observation_id":"f94d03f5-65bf-472c-a36f-0cc8d3136124","resolution":{"observed_at":"2026-08-12T15:50:11.333792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.313021Z","title":"A neural ODE interpretation of transformer layers,","venue":null,"work_id":"8a406878-1d28-4f3d-afb3-2141aa8f3291","year":2022},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.152726Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:d1fcd45108c8c7f536a05c09e84d690ebf3bd183771087dc6f46a07354206a1a","observation_id":"1f14e00c-1a34-4579-bf65-ba32a34f9240","resolution":{"observed_at":"2026-08-12T15:50:11.317464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:50:11.157234Z","title":"Controlsynth neural ODEs: Modeling dynamical systems with guaranteed convergence,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.157234Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:385baad780b75dce68e22399f9653ca6878d40c8474da3f281dbfca90121fa50","observation_id":"86fc6fb6-61f4-4853-83c8-9f67751aaa22","resolution":{"observed_at":"2026-08-12T15:50:11.157234Z","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":"2026-08-12T15:50:11.161561Z","title":"Power system stability,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.161561Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:7ac4e6509db61a980acfa6eff21bee80c170efb46a5c0aa711e8feccd7ddfae0","observation_id":"10c89fea-b9c1-4451-b457-2c8e87df0b54","resolution":{"observed_at":"2026-08-12T15:50:11.161561Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.02435","last_updated":"2022-02-04T23:32:29Z","snapshot_observed_at":"2026-08-12T13:14:48.244612Z","submitted_at":"2022-02-04T23:32:29Z","title":"On Neural Differential Equations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.02435","snapshot_observed_at":"2026-08-12T15:50:11.166067Z","title":"On neural differential equations,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.166067Z"},"links":{"cited_paper":"/paper/2202.02435","citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:dcba6f9d12622d9b5b4f178728cdc4c0c411fbe50aa82786dcee26e15cf973c7","observation_id":"72dda9d9-b4cb-4d53-a4ea-e939beb482a5","resolution":{"observed_at":"2026-08-12T15:50:11.166067Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.279291Z","title":"In many cases, fθ is implemented using a standard neural network architecture, such as a feedforward or convolutional network","venue":null,"work_id":"3ffca97a-a6ce-4205-8981-5cc9469a5a2d","year":null},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.171100Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:7712ee0b676ce41b56c1018fbf7d1a03a636a36b1c992610674e0b8b0a30ee19","observation_id":"afe16189-c6c1-481a-896b-0e74f2dca6d2","resolution":{"observed_at":"2026-08-12T15:50:11.284623Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.263908Z","title":null,"venue":null,"work_id":"eb226d83-4063-4923-a961-a230f8f852d3","year":null},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.176592Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:ecc2ac14ed322cbd12c61b508b6d045623d0f650722ee89936d92a95abfb7fdb","observation_id":"3497f2ae-11bd-41eb-973c-7340b0f4d067","resolution":{"observed_at":"2026-08-12T15:50:11.267933Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:50:11.249705Z","title":null,"venue":null,"work_id":"501fb6ef-e1bb-40b6-b0f6-7f43e7fc3ffd","year":2021},"citing_paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information","version":4},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T15:50:11.180928Z"},"links":{"citing_paper":"/paper/2411.13914"},"observation_digest":"sha256:ea713f41ac5e964b4439397096b6ebeed4736dfe9be5d74596997ac41cd1df8f","observation_id":"1afe1a86-f6df-4f7c-93cf-a009cd04c5a4","resolution":{"observed_at":"2026-08-12T15:50:11.254636Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.13914","last_updated":"2025-04-15T10:42:55Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-12T15:42:32.392547Z","submitted_at":"2024-11-21T07:57:59Z","title":"ICODE: Modeling Dynamical Systems with Extrinsic Input Information"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":29},"total_outbound_references":38},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2411.13914."}