Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T22:32:10.836999Z
Paper Citation Record · LEDGER
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems
As of 12 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 2 inbound Pith citation observations for arXiv:2509.07283.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T18:51:31.816695Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T01:58:51.625486Z
Reference resolution
39 of 39 outbound references displayed
- verified exact1
- verified fuzzy25
- unresolved13
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3c5bd255-62a6-49cf-b4a4-bb972ded7edc · outbound
This paper cites Com- parative study of equivalent circuit models performance in four common lithium-ion batteries: Lfp, nmc, lmo, nca.Batteries, 7(3):51, 2021.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Com- parative study of equivalent circuit models performance in four common lithium-ion batteries: Lfp, nmc, lmo, nca.Batteries, 7(3):51, 2021
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:12.496832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cb972afe-d424-437b-ae91-f8606598d5ff · outbound
This paper cites A layered swarm optimization method for fitting battery thermal runaway models to accelerating rate calorimetry data.Journal of The Electrochemical Society, 2024.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems A layered swarm optimization method for fitting battery thermal runaway models to accelerating rate calorimetry data.Journal of The Electrochemical Society, 2024
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:12.444790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 14e1fd50-7b47-4c6f-a480-0073b45fc620 · outbound
This paper cites Kinetic modeling of gasoline surrogate components and mixtures under engine conditions.Proceedings of the Com- bustion Institute, 33(1):193–200, 2011.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Kinetic modeling of gasoline surrogate components and mixtures under engine conditions.Proceedings of the Com- bustion Institute, 33(1):193–200, 2011
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:12.402006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 67c932d2-c933-4a25-aaac-cde489d55800 · outbound
This paper cites Gauss–seidel iteration for stiff odes from chemical kinetics.SIAM Journal on Scientific Computing, 15(5):1243–1250, 1994.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Gauss–seidel iteration for stiff odes from chemical kinetics.SIAM Journal on Scientific Computing, 15(5):1243–1250, 1994
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:12.356540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1e04ca2b-db67-4772-9043-5c2fb84ad6c2 · outbound
This paper cites an unresolved cited work.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T22:32:12.302777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4fb54372-4012-475e-9ac1-e42c253cbf62 · outbound
This paper cites Fem-simulation of laminar flame propagation.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Fem-simulation of laminar flame propagation
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:12.262810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 54a00f8d-1c2d-4dc5-9c8d-26e98409bd88 · outbound
This paper cites an unresolved cited work.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T22:32:12.217235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation edb3a221-4552-42b8-b1ce-77a80703e65d · outbound
This paper cites Thermal kinetics comparison of delithiated li [nixcoymn1-xy] o2 cathodes.Journal of Power Sources, 514:230582, 2021.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Thermal kinetics comparison of delithiated li [nixcoymn1-xy] o2 cathodes.Journal of Power Sources, 514:230582, 2021
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:12.181151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b19d4769-b735-4ab5-894d-75523ebfe831 · outbound
This paper cites Model-based thermal runaway prediction of lithium-ion batteries from kinetics analysis of cell components.Applied energy, 228:633–644, 2018.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Model-based thermal runaway prediction of lithium-ion batteries from kinetics analysis of cell components.Applied energy, 228:633–644, 2018
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:12.137759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 61b3a74b-a6b3-4594-9f16-0ae36eb70bff · outbound
This paper cites Chemical reaction neural networks for fitting accelerating rate calorimetry data.Journal of Power Sources, 628:235834, 2025.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Chemical reaction neural networks for fitting accelerating rate calorimetry data.Journal of Power Sources, 628:235834, 2025
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:12.095133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 88fc175b-dac1-47b6-8c34-9ae2f96d4ee6 · outbound
This paper cites Identification of parameters for equivalent circuit model of li-ion battery cell with population based optimization algorithms.Ain Shams Engineering Journal, 15(3):102481, 2024.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Identification of parameters for equivalent circuit model of li-ion battery cell with population based optimization algorithms.Ain Shams Engineering Journal, 15(3):102481, 2024
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:12.065164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0f742e1d-2766-4a96-8968-3f4f819312fc · outbound
This paper cites Electrochemical model parameter iden- tification of a lithium-ion battery using particle swarm optimization method.Journal of Power Sources, 307:86–97, 2016.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Electrochemical model parameter iden- tification of a lithium-ion battery using particle swarm optimization method.Journal of Power Sources, 307:86–97, 2016
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:12.025043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c5fc0e62-8b3e-4070-afca-3eeb125b94b7 · outbound
This paper cites Hysteretic tuned mass damper with bumpers for seismic protection: Modeling, identification, and shaking table tests.Journal of Sound and Vibration, 597:118816, 2025.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Hysteretic tuned mass damper with bumpers for seismic protection: Modeling, identification, and shaking table tests.Journal of Sound and Vibration, 597:118816, 2025
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:11.975027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 82061af9-ddf7-41d3-8c2f-3591bb217797 · outbound
This paper cites an unresolved cited work.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T22:32:11.942746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e2776587-9096-4805-965a-0b520702c025 · outbound
This paper cites A physics-informed neural network approach to parameter estimation of lithium-ion battery electro- chemical model.Journal of Power Sources, 621:235271, 2024.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems A physics-informed neural network approach to parameter estimation of lithium-ion battery electro- chemical model.Journal of Power Sources, 621:235271, 2024
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:11.908554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5190c88a-d860-4482-a4f6-56d785e27b2b · outbound
This paper cites A physics-informed neural networks framework for model parameter identification of beam-like structures.Mechanical Systems and Signal Processing, 224:112189, 2025.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems A physics-informed neural networks framework for model parameter identification of beam-like structures.Mechanical Systems and Signal Processing, 224:112189, 2025
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:11.855781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e0020e3b-df2a-4376-902e-5073fe50e194 · outbound
This paper cites The findability of microkinetic parameters by heterogeneous chemical reaction neural networks (hcrnns).Chemical Engineering Journal, 510:161460, 2025.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems The findability of microkinetic parameters by heterogeneous chemical reaction neural networks (hcrnns).Chemical Engineering Journal, 510:161460, 2025
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:11.807776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2fa4ea45-1d4b-46b8-9425-dd49bc10896d · outbound
This paper cites Accommodating physical reaction schemes in dsc cathode thermal stability analysis using chemical reaction neural networks.Journal of Power Sources, 581:233443, 2023.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Accommodating physical reaction schemes in dsc cathode thermal stability analysis using chemical reaction neural networks.Journal of Power Sources, 581:233443, 2023
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:11.769736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cf6aed1d-b535-4fa3-944f-854448f79d7b · outbound
This paper cites On Neural Differential Equations.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems On Neural Differential Equations
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:32:10.681899Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e76bd9b2-e525-4f25-8fad-97b117a6ca5d · outbound
This paper cites Chatgpt for programming numerical methods.Journal of Machine Learning for Modeling and Computing, 4(2), 2023.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Chatgpt for programming numerical methods.Journal of Machine Learning for Modeling and Computing, 4(2), 2023
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:11.718480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e563119b-64f4-46e7-9885-115b2d2d3ec7 · outbound
This paper cites Fine-tuning a large language model for automating com- putational fluid dynamics simulations.Theoretical and Applied Mechanics Letters, page 100594, 2025.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Fine-tuning a large language model for automating com- putational fluid dynamics simulations.Theoretical and Applied Mechanics Letters, page 100594, 2025
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:11.680800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation dda0080c-840c-463d-ae2a-2a5161eefb9d · outbound
This paper cites Openfoamgpt: A retrieval-augmented large language model (llm) agent for openfoam-based computational fluid dynamics.Physics of Fluids, 37(3), 2025.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Openfoamgpt: A retrieval-augmented large language model (llm) agent for openfoam-based computational fluid dynamics.Physics of Fluids, 37(3), 2025
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:32:10.701094Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 208ddf37-ce73-4e77-a1b9-59ee9f923015 · outbound
This paper cites Ai agents in engineering design: a multi-agent framework for aesthetic and aerodynamic car design.arXiv preprint arXiv:2503.23315, 2025.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Ai agents in engineering design: a multi-agent framework for aesthetic and aerodynamic car design.arXiv preprint arXiv:2503.23315, 2025
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:32:10.706620Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e199c4a-760c-4209-a21d-9b44f23d66ea · outbound
This paper cites From concept to manufacturing: Evaluating vision-language models for engineering design.Artificial Intelligence Review, 58(9):288, 2025.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems From concept to manufacturing: Evaluating vision-language models for engineering design.Artificial Intelligence Review, 58(9):288, 2025
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:32:10.712255Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10f03d34-84c6-4b06-827a-dcea45acabf4 · outbound
This paper cites How an ai-enabled software product development life cycle will fuel innovation.https://www.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems How an ai-enabled software product development life cycle will fuel innovation.https://www
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:11.589553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4b25d573-2c0d-4157-b412-1f3cbaab4517 · outbound
This paper cites Robertson’s example for stiff differential equations.Arizona State Univer- sity, Technical report, 1996.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Robertson’s example for stiff differential equations.Arizona State Univer- sity, Technical report, 1996
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:11.566384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 58322259-493c-4b11-971e-eeff0d4c3dea · outbound
This paper cites Stiff-pinn: Physics-informed neural network for stiff chemical kinetics.The Journal of Physical Chemistry A, 125(36):8098–8106, 2021.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Stiff-pinn: Physics-informed neural network for stiff chemical kinetics.The Journal of Physical Chemistry A, 125(36):8098–8106, 2021
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:32:10.731272Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3557457-e065-4249-81c7-04846b5f9a90 · outbound
This paper cites Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T22:32:10.921856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 214365d9-2d37-41ec-956f-de7fa41c0282 · outbound
This paper cites Analysis of an experimental technique for determining van der pol parameters of a transistor oscillator.IEEE transactions on microwave theory and techniques, 46(7):914–922, 1998.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Analysis of an experimental technique for determining van der pol parameters of a transistor oscillator.IEEE transactions on microwave theory and techniques, 46(7):914–922, 1998
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:11.470286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8b039267-94a0-4794-80da-9a291dc6e7f5 · outbound
This paper cites an unresolved cited work.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T22:32:11.427885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e460f28e-69fb-4688-ac3b-0d11ae205a28 · outbound
This paper cites Thermal runaway characterization of cylindrical lithium-ion and sodium-ion batteries with various sizes and energy contents.Journal of Power Sources, 648:237240, 2025.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Thermal runaway characterization of cylindrical lithium-ion and sodium-ion batteries with various sizes and energy contents.Journal of Power Sources, 648:237240, 2025
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:11.382325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation edd575c1-f5d7-4de7-bc75-37b614454ab7 · outbound
This paper cites Experimental and simulation-based characterization of thermal runaway in lithium-ion batteries using altair simlab®.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Experimental and simulation-based characterization of thermal runaway in lithium-ion batteries using altair simlab®
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:11.339607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9036ba84-f1a4-477e-b7a2-7570d0f33fa0 · outbound
This paper cites an unresolved cited work.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T22:32:11.275976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9e0d5e36-21a7-4a7c-b630-6cbe80452c5d · outbound
This paper cites an unresolved cited work.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Unresolved cited work
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:32:10.783414Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06ab4ba5-f59a-431f-bba7-d7cbf5134afe · outbound
This paper cites Φ flow (PhiFlow): Differentiable simulations for pytorch, tensorflow and jax.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Φ flow (PhiFlow): Differentiable simulations for pytorch, tensorflow and jax
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:11.202459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 366dc150-c1f5-4d6a-a5d6-27d4e8c04015 · outbound
This paper cites Particle swarm optimization.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Particle swarm optimization
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:32:10.805376Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54d1aa45-0ed8-402c-a400-98337019754f · outbound
This paper cites Neural ordinary differential equations.Advances in neural information processing systems, 31, 2018.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Neural ordinary differential equations.Advances in neural information processing systems, 31, 2018
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:32:10.813015Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa782936-47b3-44db-84b4-4d84d37d5cf8 · outbound
This paper cites Autonomous kinetic modeling of biomass pyrolysis using chemical reaction neural networks.Combustion and Flame, 240:111992, 2022.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Autonomous kinetic modeling of biomass pyrolysis using chemical reaction neural networks.Combustion and Flame, 240:111992, 2022
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:11.090364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4d6026d1-77f2-457f-a7f7-a3193cecfa5d · outbound
This paper cites Jax md: a framework for differentiable physics.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Jax md: a framework for differentiable physics
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T22:32:11.048498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
Observation 57f763e4-3ac0-4882-a4bb-0e6cd1ab02c1 · inbound
ATHENA: Agentic Team for Hierarchical Evolutionary Numerical Algorithms cites this paper.
ATHENA: Agentic Team for Hierarchical Evolutionary Numerical Algorithms An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T01:58:51.628150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation db7f6a86-c4de-4e9f-8c2d-082b4b5c635f · inbound
ATHENA: Agentic Team for Hierarchical Evolutionary Numerical Algorithms cites this paper.
ATHENA: Agentic Team for Hierarchical Evolutionary Numerical Algorithms An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:51:31.816695Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.