Paper Citation Record · LEDGER

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy

As of 10 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2509.08256.

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

pith.paper-citation-record.v1
2509.08256 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:04:57.235709Z

measured 36 of 36 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 2026-05-20T04:55:27.851849Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T04:58:05.087047Z

Reference resolution

35 of 35 outbound references displayed

verified exact8
verified fuzzy9
unresolved17
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6cc2486e-a34c-4128-8b17-9a53a2fe1be8 · outbound

This paper cites Gheribi, Michael Kokkolaras, and S´ ebastien Le Digabel.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Gheribi, Michael Kokkolaras, and S´ ebastien Le Digabel

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T21:04:57.145509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dac601a2-5d3d-46b1-b38b-426f3cd55b7a · outbound

This paper cites Quadratic Models.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Quadratic Models

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:04:57.608573Z

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 de29ae58-4f7f-4f05-8890-9202f342d76a · outbound

This paper cites Scalable subspace methods for derivative- free nonlinear least-squares optimization.Math.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Scalable subspace methods for derivative- free nonlinear least-squares optimization.Math

Reference 3

Resolution: verified exact; doi, observed 2026-08-04T21:04:57.341811Z

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Observation 355dd6b0-1b9e-4094-b6fa-16a2cc9a12f0 · outbound

This paper cites Adaptive cubic regularisation methods for unconstrained optimization.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Adaptive cubic regularisation methods for unconstrained optimization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T21:04:57.154257Z

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Unavailable: canonical work link unavailable.

Observation 4744d7c8-ca1a-495c-93d5-f2aa57307284 · outbound

This paper cites A Randomised Subspace Gauss-Newton Method for Nonlinear Least-Squares.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy A Randomised Subspace Gauss-Newton Method for Nonlinear Least-Squares

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T21:04:57.157152Z

Source-reported events for the cited work

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Observation 1a0d238c-cc6a-4e8a-966c-e949194e1c46 · outbound

This paper cites Random Subspace Cubic-Regularization Methods, with Applications to Low-Rank Functions.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Random Subspace Cubic-Regularization Methods, with Applications to Low-Rank Functions

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T21:04:57.160160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad4e5be9-fccc-478b-b3cf-a1c82d901544 · outbound

This paper cites Q-fully quadratic modeling and its applica- tion in a random subspace derivative-free method.Comput.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Q-fully quadratic modeling and its applica- tion in a random subspace derivative-free method.Comput

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:04:57.599574Z

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 bc4d7f74-37e6-40d3-92c3-277532543a21 · outbound

This paper cites an unresolved cited work.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-04T21:04:57.591188Z

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

Observation bae87734-75bf-4083-b88a-3741b82920af · outbound

This paper cites Conn, Katya Scheinberg, and Lu ´ ıs N.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Conn, Katya Scheinberg, and Lu ´ ıs N

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:04:57.583122Z

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 fb087e48-edd3-4742-beb8-7ef4f170d38b · outbound

This paper cites Dolan and Jorge J.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Dolan and Jorge J

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T21:04:57.173369Z

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Unavailable: canonical work link unavailable.

Observation 9b63ba96-acd8-4bf1-96ac-bda8f4755dc5 · outbound

This paper cites Larson, Matt Menickelly, and Stefan M.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Larson, Matt Menickelly, and Stefan M

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-08-04T21:04:57.410392Z

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 b768a6c4-791e-469f-b82a-0084e5823f82 · outbound

This paper cites Wild, and Pengcheng Xie.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Wild, and Pengcheng Xie

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:04:57.494770Z

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 052cee0b-27d5-493f-b46f-b1363c220721 · outbound

This paper cites John Wiley & Sons, Ltd, USA, 2000.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy John Wiley & Sons, Ltd, USA, 2000

Reference 13

Resolution: verified exact; doi, observed 2026-08-04T21:04:57.318844Z

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 b8a1d724-e970-4484-93e5-f66017712245 · outbound

This paper cites Stochastic first- and zeroth-order methods for non- convex stochastic programming.SIAM J.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Stochastic first- and zeroth-order methods for non- convex stochastic programming.SIAM J

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:04:57.485686Z

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 0f626e23-6c9a-48a9-84e8-8124781d674a · outbound

This paper cites RSN: Randomized Subspace Newton.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy RSN: Randomized Subspace Newton

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-08-04T21:04:57.398846Z

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 79eec735-a9e2-4661-b72b-963f4f488162 · outbound

This paper cites Expected decrease for derivative-free algorithms using random subspaces.Math.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Expected decrease for derivative-free algorithms using random subspaces.Math

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:04:57.476781Z

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 ee7d38a5-fe3e-4185-8aee-cd9616f940e2 · outbound

This paper cites New subspace method for unconstrained derivative-free optimization.ACM Trans.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy New subspace method for unconstrained derivative-free optimization.ACM Trans

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:04:57.467565Z

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 1ac483ad-f804-4741-80e7-585f45f584a0 · outbound

This paper cites Liu and Jorge Nocedal.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Liu and Jorge Nocedal

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:04:57.459507Z

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 8590bc50-343e-44fd-a650-f13bd7e4fb95 · outbound

This paper cites an unresolved cited work.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Unresolved cited work

Reference 19

Resolution: verified exact; doi, observed 2026-08-04T21:04:57.305742Z

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 7e55bef9-c4a0-40b6-941a-fea085da5f76 · outbound

This paper cites an unresolved cited work.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T21:04:57.201653Z

Source-reported events for the cited work

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Observation b2150d6c-adbf-459f-a382-be25995a4238 · outbound

This paper cites Scalable Second-Order Optimization Algorithms for Minimizing Low-rank Functions.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Scalable Second-Order Optimization Algorithms for Minimizing Low-rank Functions

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-04T21:04:57.387819Z

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 30f7007e-7597-4ca5-80cd-f236447695bd · outbound

This paper cites an unresolved cited work.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Unresolved cited work

Reference 22

Resolution: verified exact; doi, observed 2026-08-04T21:04:57.292838Z

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 f19c45f5-a14f-442b-bacb-f750f7e006ea · outbound

This paper cites Woodruff.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Woodruff

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T21:04:57.209646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccea7b31-70cb-4e5f-9f41-e2b3cbd516fc · outbound

This paper cites ReMU: Regional Minimal Updating for Model-Based Derivative-Free Optimization.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy ReMU: Regional Minimal Updating for Model-Based Derivative-Free Optimization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T21:04:57.212048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 758df8cd-d044-4ddd-a1ab-ec24bcfe238f · outbound

This paper cites Least H2 norm updating of quadratic interpolation models for derivative-free trust-region algorithms.IMA Journal of Numerical Analysis, page drae106, 03 2025.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Least H2 norm updating of quadratic interpolation models for derivative-free trust-region algorithms.IMA Journal of Numerical Analysis, page drae106, 03 2025

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T21:04:57.215172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56a5cd5f-77d0-4622-bab0-45bef493e367 · outbound

This paper cites A New Two-dimensional Model-based Subspace Method for Large-scale Unconstrained Derivative-free Optimization: 2D-MoSub.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy A New Two-dimensional Model-based Subspace Method for Large-scale Unconstrained Derivative-free Optimization: 2D-MoSub

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-04T21:04:57.368198Z

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 44958967-f415-4633-8301-37361bb7e10a · outbound

This paper cites Derivative-free optimization with transformed ob- jective functions (DFOTO) and the algorithm based on the least Frobenius norm up- dating quadratic model.J.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Derivative-free optimization with transformed ob- jective functions (DFOTO) and the algorithm based on the least Frobenius norm up- dating quadratic model.J

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T21:04:57.220794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c686db85-755e-4f63-96fb-b953ad0834fc · outbound

This paper cites A derivative-free method using a new under- determined quadratic interpolation model.SIAM J.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy A derivative-free method using a new under- determined quadratic interpolation model.SIAM J

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T21:04:57.223281Z

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Unavailable: canonical work link unavailable.

Observation 7cfb9c79-ed45-4470-8458-7a1de144a5b5 · outbound

This paper cites Robinson, and Rene Vidal.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Robinson, and Rene Vidal

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:04:57.450734Z

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 7b8f92e3-0c3b-4d16-ba30-fcba1f288160 · outbound

This paper cites On the truncated conjugate gradient method.Math.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy On the truncated conjugate gradient method.Math

Reference 30

Resolution: verified exact; doi, observed 2026-08-04T21:04:57.263502Z

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 8830ac2b-28d8-437f-b82d-5d980b1d724d · outbound

This paper cites an unresolved cited work.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-04T21:04:57.442229Z

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

Observation f7e923e5-eb43-42d7-9d43-f74b0839c9ab · outbound

This paper cites DRSOM: A Dimension Reduced Second-Order Method.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy DRSOM: A Dimension Reduced Second-Order Method

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T21:04:57.233115Z

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Unavailable: canonical work link unavailable.

Observation 47b63c24-0954-4931-8f97-fe6073b40254 · outbound

This paper cites Scalable Derivative-Free Optimization Algorithms with Low-Dimensional Subspace Techniques.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Scalable Derivative-Free Optimization Algorithms with Low-Dimensional Subspace Techniques

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T21:04:57.235709Z

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Observation 89b1eee1-31e2-4054-98ac-e861a7a49a99 · outbound

This paper cites URLhttp://epubs.siam.org/doi/book/10.1137/ 1.9780898718768.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy URLhttp://epubs.siam.org/doi/book/10.1137/ 1.9780898718768

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-04T21:04:57.170663Z

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Observation 3b64e6a6-3beb-4d58-b66e-377b487bc672 · outbound

This paper cites doi:10.1145/3618297.

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy doi:10.1145/3618297

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T21:04:57.194008Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 0da372c3-27f6-46d8-8972-34f7c985171f · inbound

Distributed Gradient-Regularized Newton Method: Scheduled Consensus and O(epsilon^{-1}) Global Iteration Complexity cites this paper.

Distributed Gradient-Regularized Newton Method: Scheduled Consensus and O(epsilon^{-1}) Global Iteration Complexity Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-20T04:58:05.090559Z

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.