Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-01T04:39:06.279450Z
Paper Citation Record · LEDGER
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework
As of 14 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2606.31314.
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 2026-08-14T06:32:32.682623+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
20 of 20 outbound references displayed
- verified exact3
- verified fuzzy16
- unresolved0
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 078fa1a0-639c-4cb8-84ae-364015a63590 · outbound
This paper cites Physics-following neural network for online dynamic security as- sessment[J].
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework Physics-following neural network for online dynamic security as- sessment[J]
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T23:33:05.212123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 61885ab0-bde7-4b8d-b920-d203f8b1f94b · outbound
This paper cites Identification of AC distribution networks with recursive least squares and optimal design of experiment[J].
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework Identification of AC distribution networks with recursive least squares and optimal design of experiment[J]
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T23:33:05.214527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a0bde95c-b807-44da-97c6-debc3215829e · outbound
This paper cites Validation of power plant models using field data with application to the Mostar hydroelectric plant[J].
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework Validation of power plant models using field data with application to the Mostar hydroelectric plant[J]
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T23:33:05.216954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 542121d3-a9c6-4cb7-a897-6f20cb0fd339 · outbound
This paper cites Handbook of Electrical Power System Dynamics[J].
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework Handbook of Electrical Power System Dynamics[J]
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T23:33:05.210338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e05be255-4104-4b72-b686-de6d168e83d6 · outbound
This paper cites Parameter identification of permanent magnet servo systems based on recursive least squares[J].
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework Parameter identification of permanent magnet servo systems based on recursive least squares[J]
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T23:33:05.232035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 080ddcdd-525f-46f1-a981-556a4bd7a561 · outbound
This paper cites Identification of power system dynamic model parameters using the Fisher Information Matrix[J].
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework Identification of power system dynamic model parameters using the Fisher Information Matrix[J]
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T23:33:05.234382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6de0b07d-1f4c-47fe-b484-f54d5d29793c · outbound
This paper cites Identification and estimation of erroneous transmission line pa- rameters using PMU measurements[J].
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework Identification and estimation of erroneous transmission line pa- rameters using PMU measurements[J]
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T23:33:05.230230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 47a59e6c-d3ab-417a-9f38-7e9be05294ce · outbound
This paper cites Parameter estimation of wind turbines with PMSM using cubature Kalman filters[J].
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework Parameter estimation of wind turbines with PMSM using cubature Kalman filters[J]
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T23:33:05.236239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1862cece-36c9-49f5-b025-f925b10820cd · outbound
This paper cites Impedance parameters estimation of transmission lines by an extended Kalman filter-based algorithm[J].
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework Impedance parameters estimation of transmission lines by an extended Kalman filter-based algorithm[J]
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T23:33:05.245224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 11e24e18-c495-4391-ba4f-9ea3cd62ca6b · outbound
This paper cites Uncertain model for Thevenin equivalent parameter identification of power systems[J].
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework Uncertain model for Thevenin equivalent parameter identification of power systems[J]
Reference 11
- Resolution
- malformed identifier
- doi_truncated, observed 2026-07-01T05:45:26.277191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9d3fcbfc-f5c1-4398-9961-8bfe86c0830c · outbound
This paper cites Generic dynamic load models using artificial neural networks[C]//2017 52nd International Universities Power Engineering Conference (UPEC).
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework Generic dynamic load models using artificial neural networks[C]//2017 52nd International Universities Power Engineering Conference (UPEC)
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T23:33:05.251786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4c7dcf82-3171-4845-a241-d15889ce680e · outbound
This paper cites Robust damping controller design in power systems with superconducting magnetic energy storage devices[J].
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework Robust damping controller design in power systems with superconducting magnetic energy storage devices[J]
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T23:33:05.254430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d0c706eb-5b4a-4234-910c-d45063698d78 · outbound
This paper cites Grid line parameter identification method based on dynamic spatio-temporal adaptive graph neural networks[J].
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework Grid line parameter identification method based on dynamic spatio-temporal adaptive graph neural networks[J]
Reference 14
- Resolution
- verified exact
- doi, observed 2026-07-01T05:45:26.280479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation cbcf006c-2424-4693-a9c4-33b90224779c · outbound
This paper cites Discovering governing equations from data by sparse identification of nonlinear dynamical systems[J].
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework Discovering governing equations from data by sparse identification of nonlinear dynamical systems[J]
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T23:33:05.223255Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9e5a858f-2bb1-4e0f-ae0e-dfe6dca7d6a8 · outbound
This paper cites Data-Driven Modeling of Power Electronic Con- verters Using Symbolic Regression for Digital Twin Applications[C]//2025 IEEE Electric Ship Technologies Symposium (ESTS).
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework Data-Driven Modeling of Power Electronic Con- verters Using Symbolic Regression for Digital Twin Applications[C]//2025 IEEE Electric Ship Technologies Symposium (ESTS)
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T23:33:05.226056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5f0a4e60-6187-460b-a59e-ec731cee1117 · outbound
This paper cites Symbolic regression for data-driven dynamic model refinement in power systems[J].
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework Symbolic regression for data-driven dynamic model refinement in power systems[J]
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T23:33:05.227815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e3805ae7-82e9-4b54-8503-eb259330f37f · outbound
This paper cites LLM-DMD: Large Language Model-based Power System Dynamic Model Discovery[J].
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework LLM-DMD: Large Language Model-based Power System Dynamic Model Discovery[J]
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T11:15:42.783650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c3bc2b92-9de6-4964-a15f-7eda04472384 · outbound
This paper cites LLM-SR: Scientific Equation Discovery via Programming with Large Language Models.
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T11:15:42.786680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2bccf6e9-1bd9-4271-b9f9-c6d5ec839112 · outbound
This paper cites An open source power system analysis toolbox[J].
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework An open source power system analysis toolbox[J]
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T23:33:05.220974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8c0accb0-85f4-4d77-806e-a0b221d428cd · outbound
This paper cites Power System Analysis Toolbox (PSAT): Documentation for version 2.0.0[R].
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework Power System Analysis Toolbox (PSAT): Documentation for version 2.0.0[R]
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T23:33:05.218721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
No inbound Pith citation observations are available.