Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-09T18:00:55.330564Z
Paper Citation Record · LEDGER
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs
As of 5 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2605.00820.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
64 of 64 outbound references displayed
- verified exact2
- verified fuzzy51
- unresolved7
- parse uncertain1
- malformed identifier0
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0db06398-b52a-45df-a612-71232a38be13 · outbound
This paper cites Journal of Computational Physics , volume =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Journal of Computational Physics , volume =
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.072542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5166ba2f-bbaa-4c55-a61a-09050313c558 · outbound
This paper cites Learning nonlinear operators via.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Learning nonlinear operators via
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.154940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7462db16-b5dd-4632-9f7c-6c3200a1fb7c · outbound
This paper cites Neural Operator: Learning Maps Between Function Spaces with Applications to.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Neural Operator: Learning Maps Between Function Spaces with Applications to
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.089440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 414fbeda-0c07-4f42-b658-17fd8692f3a9 · outbound
This paper cites International Conference on Learning Representations (ICLR) , year =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs International Conference on Learning Representations (ICLR) , year =
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.085427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9f78cdb7-332a-49c2-895e-4b69b89c9682 · outbound
This paper cites Convolutional Neural Operators for Robust and Accurate Learning of.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Convolutional Neural Operators for Robust and Accurate Learning of
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.101548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b4308e0f-fe23-4210-bc32-fb9201574503 · outbound
This paper cites ACM/IMS Journal of Data Science , volume =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs ACM/IMS Journal of Data Science , volume =
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.008303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ea8699b1-d7d6-424c-bb4f-2668252621f1 · outbound
This paper cites Poseidon: Efficient Foundation Models for.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Poseidon: Efficient Foundation Models for
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.178080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 54c81a60-1a44-47de-a2ae-b9414af915cc · outbound
This paper cites SIAM Journal on Scientific Computing , volume =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs SIAM Journal on Scientific Computing , volume =
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.046112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 41a83b0b-d2d0-4915-8f3b-cc5158b284ee · outbound
This paper cites SIAM Journal on Scientific Computing , volume =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs SIAM Journal on Scientific Computing , volume =
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.080826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 02070b91-d117-4e20-9e21-5b39ffd87bf2 · outbound
This paper cites Annual Review of Fluid Mechanics , volume =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Annual Review of Fluid Mechanics , volume =
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.038267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b5a85186-98c3-4758-ba3b-76de00112225 · outbound
This paper cites journal =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs journal =
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.059014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 822fb134-1f76-40a2-b47c-79a22c9a039d · outbound
This paper cites Journal of Computational Physics , volume =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Journal of Computational Physics , volume =
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.042276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a12c2bb6-4c5f-4045-9c12-b8f2cf1b895e · outbound
This paper cites Annual Reviews in Control , volume =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Annual Reviews in Control , volume =
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.191556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 891f7c73-89ce-4f21-ac63-ab57f31e6686 · outbound
This paper cites and Budi.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs and Budi
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.195568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4bba71bc-5230-44e4-8705-3fba5d3c1f22 · outbound
This paper cites and Azizzadenesheli, Kamyar , journal =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs and Azizzadenesheli, Kamyar , journal =
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.054574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9c4bdde7-d910-4c68-9356-e9bbfb1852ad · outbound
This paper cites Proceedings of the 41st International Conference on Machine Learning (ICML) , pages =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Proceedings of the 41st International Conference on Machine Learning (ICML) , pages =
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.158688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4f8eb02b-ebd0-4a23-8abf-5fccf782c590 · outbound
This paper cites 2015 , volume =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs 2015 , volume =
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.033971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ae49dc0c-06c7-4ce4-b90a-1d26861805dc · outbound
This paper cites 2025 , eprint=.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs 2025 , eprint=
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.182894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ae418982-b371-4e75-970e-242147c19c05 · outbound
This paper cites 2025 , eprint=.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs 2025 , eprint=
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.237189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8c832794-e9a8-4d0d-b7da-67347f44a19e · outbound
This paper cites Factorized.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Factorized
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.203876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9529990a-a459-40aa-950f-730aecb62e65 · outbound
This paper cites Advances in Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks , year =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Advances in Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks , year =
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.150864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 68c1c923-3d55-4f9a-a5e1-872e9226a720 · outbound
This paper cites an unresolved cited work.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-05-25T23:46:22.146718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e5a7da39-1afb-45c8-901d-9e1a1549e480 · outbound
This paper cites Fractal decomposition of exponential operators with applications to many-body theories and.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Fractal decomposition of exponential operators with applications to many-body theories and
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.207811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 96566c6e-1671-47ea-9419-85be7118e73e · outbound
This paper cites and Su, Yuan and Tran, Minh C.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs and Su, Yuan and Tran, Minh C
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.131603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b10732bf-78ee-4bc9-9404-35b3debf8dc2 · outbound
This paper cites and Childs, Andrew M.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs and Childs, Andrew M
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.123425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 15058a47-bdb5-4d04-b569-02db67719acc · outbound
This paper cites arXiv preprint arXiv:2602.00884 , year=.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs arXiv preprint arXiv:2602.00884 , year=
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:16:10.766538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 24a500c7-8cac-40f0-b937-e6b105080e4a · outbound
This paper cites an unresolved cited work.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-05-25T23:46:22.211715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0082b654-4d8f-465a-bd37-499d0259abf3 · outbound
This paper cites Learning Neural Differential Algebraic Equations via Operator Splitting.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Learning Neural Differential Algebraic Equations via Operator Splitting
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:16:10.749227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8a1ca6ab-7b6e-47f7-bfe2-3995b14ea201 · outbound
This paper cites Learning Physical Operators using Neural Operators.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Learning Physical Operators using Neural Operators
Reference 29
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T16:16:10.780734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a0ed9469-320f-464f-a53d-bbc5022af951 · outbound
This paper cites GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T16:16:10.797836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d3df41f9-bd47-4b78-8119-1ec8da3d85a6 · outbound
This paper cites an unresolved cited work.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-05-25T23:46:22.025593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 98d0685d-5efb-4961-a73b-ca9d33cdfdda · outbound
This paper cites and Perdikaris, Paris and Turner, Richard E.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs and Perdikaris, Paris and Turner, Richard E
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.200101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4201efad-6d65-4d53-8344-1f8fac2982d1 · outbound
This paper cites Blending Neural Operators and Relaxation Methods in.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Blending Neural Operators and Relaxation Methods in
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.127680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5f269c23-be65-4f3d-b38c-2a50ce77cb2b · outbound
This paper cites Machine Learning: Science and Technology , volume=.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Machine Learning: Science and Technology , volume=
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.215833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 453b6176-c0cd-483f-9159-468ee04c06d0 · outbound
This paper cites 55th AIAA Aerospace Sciences Meeting , year=.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs 55th AIAA Aerospace Sciences Meeting , year=
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.139263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8bcb3866-9b96-4366-8c45-5a278c38c3fb · outbound
This paper cites an unresolved cited work.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-05-25T23:46:22.135492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation eeb62409-9df6-4c3d-b15d-b8547cd84eb4 · outbound
This paper cites and Fournier, John J.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs and Fournier, John J
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.220431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 794ec7b8-1233-4a1d-83eb-e74ae3e9c9ac · outbound
This paper cites an unresolved cited work.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Unresolved cited work
Reference 38
- Resolution
- parse uncertain
- raw_fallback, observed 2026-05-25T23:46:22.016675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5411d911-d67f-41f9-9a13-9f6ea8c6098e · outbound
This paper cites Acta Numerica , volume =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Acta Numerica , volume =
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.105610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 928efccc-032c-404f-b2f4-4ff5cdfaecca · outbound
This paper cites Mathematics of Control, Signals and Systems , volume =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Mathematics of Control, Signals and Systems , volume =
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.109603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 460770f8-615b-425a-b5ac-67982b011501 · outbound
This paper cites and Kaper, T.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs and Kaper, T
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.224486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 15fe4928-5617-4b01-875d-39a06ab33ebe · outbound
This paper cites an unresolved cited work.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-05-25T23:46:22.142896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c9e6f612-675f-4d43-b2f6-26519521797e · outbound
This paper cites Neural Networks , volume =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Neural Networks , volume =
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.187351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3cd3e754-7f72-4f95-9deb-1d0daafc01eb · outbound
This paper cites BIT Numerical Mathematics , volume =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs BIT Numerical Mathematics , volume =
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.228663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e31099c6-c789-45ff-a0c4-705d9772c24a · outbound
This paper cites and Quispel, G.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs and Quispel, G
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.114831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c190f065-35c9-4865-86c8-a19df9e7a15b · outbound
This paper cites Annals of Mathematics , volume =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Annals of Mathematics , volume =
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.068174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0a2db300-9f77-4511-9196-6a3c123f929b · outbound
This paper cites Evolution Strategies as a Scalable Alternative to Reinforcement Learning.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Reference 47
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T16:16:10.738987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d7090696-e859-4692-ad76-f6aefe8714f5 · outbound
This paper cites IMA Journal of Numerical Analysis , volume =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs IMA Journal of Numerical Analysis , volume =
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.012373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 82490926-196f-4c62-9d4e-ec994e86097d · outbound
This paper cites Journal of Mathematical Physics , volume =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Journal of Mathematical Physics , volume =
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.021460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a553e697-020c-4739-9aca-1a3eed1f7d74 · outbound
This paper cites SIAM Journal on Numerical Analysis , volume =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs SIAM Journal on Numerical Analysis , volume =
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.029609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1bba50c8-7244-410a-b14d-1626ea4081c4 · outbound
This paper cites Solving Ordinary Differential Equations.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Solving Ordinary Differential Equations
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.050629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 207164a6-b963-4a85-bcd4-14edc8965529 · outbound
This paper cites 2017 , eprint=.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs 2017 , eprint=
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.064410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b352fddf-e7ac-4b65-a372-86cd45716a68 · outbound
This paper cites SIAM journal on numerical analysis , volume=.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs SIAM journal on numerical analysis , volume=
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:21.999849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8bd2f2e6-e611-40fd-80d4-1268d3e88c8f · outbound
This paper cites Splitting Methods in Communication, Imaging, Science, and Engineering , editor=.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Splitting Methods in Communication, Imaging, Science, and Engineering , editor=
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.003951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9979bfc6-9c2c-4156-9ed4-49a50fd603b9 · outbound
This paper cites Proceedings of the American Mathematical Society , volume=.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Proceedings of the American Mathematical Society , volume=
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:21.995553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 30bd0fac-d26e-4056-bbc0-fd4744a8d94d · outbound
This paper cites series =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs series =
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.093346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 29f64411-0855-4171-bc86-2b72e87c7e13 · outbound
This paper cites series=.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs series=
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.097492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 85a24e9c-ecdc-4e68-b301-53b36eaebb3d · outbound
This paper cites 1983 , publisher =.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs 1983 , publisher =
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:21.986688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f54ed161-581c-434f-ad3d-72eda9cb3ab6 · outbound
This paper cites and Liggett, Thomas M.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs and Liggett, Thomas M
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.076708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 94a8830c-38f3-4b3c-b9ea-f495d4271b34 · outbound
This paper cites 2024 , publisher=.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs 2024 , publisher=
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.241705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e46cc872-3cac-4eee-947a-558ccce5a6ad · outbound
This paper cites and Dean, Joseph P.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs and Dean, Joseph P
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:22.232774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0baa4460-2b2e-43bd-bf95-1b1e061ae457 · outbound
This paper cites an unresolved cited work.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Unresolved cited work
Reference 62
- Resolution
- unresolved
- raw_fallback, observed 2026-05-25T23:46:22.119023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation da303aed-656f-4250-aba3-c253892d8e38 · outbound
This paper cites an unresolved cited work.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Unresolved cited work
Reference 63
- Resolution
- unresolved
- raw_fallback, observed 2026-05-25T23:46:21.982300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c751e6ac-eb48-4c67-bd52-11206fdf3392 · outbound
This paper cites ^ Depends on whether the fixed schedule suits the target regime.
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs ^ Depends on whether the fixed schedule suits the target regime
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:46:21.991571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
No inbound Pith citation observations are available.