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Paper Citation Record · LEDGER

Improvements to the Levenberg-Marquardt algorithm for nonlinear least-squares minimization

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1201.5885.

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

pith.paper-citation-record.v1
1201.5885 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:15:19.048457Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T05:05:58.923455Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 187e8d32-2c51-4476-b5dd-b81e8413f0cf · inbound

Extending OpenKIM with an Uncertainty Quantification Toolkit for Molecular Modeling cites this paper.

Extending OpenKIM with an Uncertainty Quantification Toolkit for Molecular Modeling Improvements to the Levenberg-Marquardt algorithm for nonlinear least-squares minimization

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-24T11:34:23.850086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-24T11:30:45.318418Z digest=sha256:8dded154a70567947e3a99fbe92d11da6c6e379932f383c0bc1dcacdb7176b8f

Observation 71917e02-8da8-4704-84e0-c8d165bf2c09 · inbound

Extended Interface Physics-Informed Neural Networks Method for Moving Interface Problems cites this paper.

Extended Interface Physics-Informed Neural Networks Method for Moving Interface Problems Improvements to the Levenberg-Marquardt algorithm for nonlinear least-squares minimization

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T05:39:16.190370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:39:16.190370Z digest=sha256:80f889024424765dfdda5932dff67129b306e62de4e4416da24064652ea45f34

Observation 4d9186e2-35fa-43f2-bab1-65a893ff8d4d · inbound

GATO: GPU-Accelerated and Batched Trajectory Optimization for Scalable Edge Model Predictive Control cites this paper.

GATO: GPU-Accelerated and Batched Trajectory Optimization for Scalable Edge Model Predictive Control Improvements to the Levenberg-Marquardt algorithm for nonlinear least-squares minimization

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-18T08:36:07.429080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T08:33:11.296982Z digest=sha256:2e817549c8fc26ba98e4fae3c44dbb5454dac9dcab5211a808fbf2682359a8cd

Observation b6c37297-e773-412f-a618-b65bf00632ab · inbound

Inferring Unreported Measurement Uncertainties via Information Geometry in Astrophysics cites this paper.

Inferring Unreported Measurement Uncertainties via Information Geometry in Astrophysics Improvements to the Levenberg-Marquardt algorithm for nonlinear least-squares minimization

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:41:03.832754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T15:52:51.804603Z digest=sha256:8c356459dbfbe3dc0224a04f58c5fdf325c21cc0adb15ca3bb15eb5bcd083730

Observation 92cf099a-0cf7-41a3-8c52-554c04e94826 · inbound

Natural Selection in the Wake of Catastrophe cites this paper.

Natural Selection in the Wake of Catastrophe Improvements to the Levenberg-Marquardt algorithm for nonlinear least-squares minimization

Reference 78

Resolution
verified exact
local_arxiv, observed 2026-07-03T03:57:38.550798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T14:22:10.480115Z digest=sha256:9636f2f1ac4c213adafa4fd7832398cc97484ac070a02b54da46e5cb74454b10

Observation dc504f4b-7b61-4bb4-954b-c37e5614deb5 · inbound

Higher-Order Geometric Updates for Levenberg-Marquardt Method via Riemann Normal Coordinates cites this paper.

Higher-Order Geometric Updates for Levenberg-Marquardt Method via Riemann Normal Coordinates Improvements to the Levenberg-Marquardt algorithm for nonlinear least-squares minimization

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-07-09T05:05:58.924860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-09T05:04:06.118563Z digest=sha256:9fe05398e38d9538f10b5ef9e1482c50798821e86b38d22db398a3797c56ba15

Observation 7e60e440-40e7-4279-8ad1-316be765012e · inbound

NestyNet. I. Physics Functions Are Hard to Fit with Neural Networks: A Framework for Accurate Surrogates and Analytic Derivatives cites this paper.

NestyNet. I. Physics Functions Are Hard to Fit with Neural Networks: A Framework for Accurate Surrogates and Analytic Derivatives Improvements to the Levenberg-Marquardt algorithm for nonlinear least-squares minimization

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T22:15:19.048457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:15:19.048457Z digest=sha256:a75615419d8345546f1b3303ec9e429a4544c78a068e64b98cd304281a7c9f6b