Paper Citation Record · LEDGER

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting

As of 11 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2506.03899.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.03899 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:59:06.451362Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T04:14:54.105436Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T11:35:43.531987Z

Reference resolution

26 of 26 outbound references displayed

verified exact0
verified fuzzy14
unresolved12
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 147117d5-07ce-4e9b-b6bf-d7af7be35986 · outbound

This paper cites Fitting ordinary differential equations to chaotic data.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Fitting ordinary differential equations to chaotic data

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:59:09.616016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e2f296f5-fef0-4fb8-b84a-ac18548a392d · outbound

This paper cites Fitting partial differential equations to space- time dynamics.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Fitting partial differential equations to space- time dynamics

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:59:09.397106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e5d734f3-6ddd-4e3c-b3f4-dcad78f64752 · outbound

This paper cites Recent advances in parameter identification techniques for ode.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Recent advances in parameter identification techniques for ode

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:59:09.203800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cf5bd98a-9860-4e12-bce4-20e84abee878 · outbound

This paper cites Automated reverse engineering of nonlinear dynamical systems.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Automated reverse engineering of nonlinear dynamical systems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T10:59:03.699276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13a4f862-4843-432b-bf81-957eb953971b · outbound

This paper cites Discovering governing equations from data by sparse identification of nonlinear dynamical systems.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Discovering governing equations from data by sparse identification of nonlinear dynamical systems

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:59:09.047119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e560dffb-4848-4046-95b3-e97da714b936 · outbound

This paper cites Decoding by linear programming.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Decoding by linear programming

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:59:08.863681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 689a31af-9ed4-4aed-93bc-16883e168e49 · outbound

This paper cites Uncertainty principles and ideal atomic decomposition.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Uncertainty principles and ideal atomic decomposition

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:59:08.622998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 27e4d63e-d00c-41a8-bd7b-dd8bb7edeaab · outbound

This paper cites Ensemble-sindy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Ensemble-sindy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:59:08.425000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 76fa1731-5598-4cf9-80c2-57a776457185 · outbound

This paper cites Robust and optimal sparse regression for nonlinear pde models.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Robust and optimal sparse regression for nonlinear pde models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:59:04.255727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27d9d8f0-7b53-4991-bd05-93949c1802b6 · outbound

This paper cites Group projected subspace pursuit for block sparse signal reconstruction: Convergence analysis and applications.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Group projected subspace pursuit for block sparse signal reconstruction: Convergence analysis and applications

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T10:59:04.394655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 711cf961-6881-4167-b4eb-18f46dc68a4d · outbound

This paper cites Numerical identification of nonlocal potential in aggregation.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Numerical identification of nonlocal potential in aggregation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:59:08.176200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0ad18fc8-f76b-4d84-b7da-61fd29a21959 · outbound

This paper cites Robust identification of differential equations by numerical techniques from a single set of noisy observation.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Robust identification of differential equations by numerical techniques from a single set of noisy observation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T10:59:04.558703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 946d5710-8365-41e7-b28a-aaeebf02da74 · outbound

This paper cites Group projected subspace pursuit for identification of variable coefficient differential equations (gp-ident).

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Group projected subspace pursuit for identification of variable coefficient differential equations (gp-ident)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:59:04.645736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a87f3af4-0e24-4ff4-9639-229d3676217a · outbound

This paper cites How much can one learn a partial differential equation from its solution? Foundations of Computational Mathematics , 24(5):1595–1641, 2024.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting How much can one learn a partial differential equation from its solution? Foundations of Computational Mathematics , 24(5):1595–1641, 2024

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:59:07.943134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 05dd9d51-08bf-43ae-be80-696d248aeb08 · outbound

This paper cites Ident: Identifying differential equations with numerical time evolution.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Ident: Identifying differential equations with numerical time evolution

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:59:07.737036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 78f4162d-d9d9-4fee-b95a-c96e9d7235d8 · outbound

This paper cites System identification.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting System identification

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:59:07.543092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bb1f5b04-c750-4162-98cc-7eab82160ae7 · outbound

This paper cites Weak sindy for partial differential equations.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Weak sindy for partial differential equations

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:59:07.341915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9c695358-7fbe-4f79-b852-ca5784da6491 · outbound

This paper cites Weak sindy: Galerkin-based data-driven model selection.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Weak sindy: Galerkin-based data-driven model selection

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T10:59:05.179348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4580f5f-d291-4cbb-8e49-be858557b392 · outbound

This paper cites Parameter identification techniques for partial differential equations.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Parameter identification techniques for partial differential equations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:59:05.311865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d3bcb49-d018-4422-b077-339f9d77b015 · outbound

This paper cites Using noisy or incomplete data to discover models of spatiotemporal dynamics.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Using noisy or incomplete data to discover models of spatiotemporal dynamics

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T10:59:05.493110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 411016a0-2fb2-4c87-9e17-cec988f4a07d · outbound

This paper cites Learning partial differential equations via data discovery and sparse opti- mization.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Learning partial differential equations via data discovery and sparse opti- mization

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:59:07.032843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 05f81c3d-541c-45d9-bb06-74dfe615e045 · outbound

This paper cites Distilling free-form natural laws from experimental data.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Distilling free-form natural laws from experimental data

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T10:59:05.868796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 059e7c7b-d9c6-478f-964e-f7a23c36645b · outbound

This paper cites He, and Hao Liu.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting He, and Hao Liu

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T10:59:05.986474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee08efb4-69cf-4976-8f34-a4f6d9f93f58 · outbound

This paper cites Weakident: Weak formulation for identifying differential equation using narrow-fit and trimming.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Weakident: Weak formulation for identifying differential equation using narrow-fit and trimming

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T10:59:06.113128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe9454d5-a87d-466a-b26d-4cdf649fb668 · outbound

This paper cites Fourier Features for Identifying Differential Equations (FourierIdent).

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Fourier Features for Identifying Differential Equations (FourierIdent)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T10:59:06.273788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ac78c0f-6d78-4e73-b9fe-46ad9b501a22 · outbound

This paper cites Numerical aspects for approximating governing equations using data.

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Numerical aspects for approximating governing equations using data

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:59:06.733517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 07297846-d9b2-454d-a5ba-40452eddfede · inbound

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) cites this paper.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-01T11:35:43.533966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.