Paper Citation Record · LEDGER

Optimizing Hard Thresholding for Sparse Model Discovery

As of 20 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2504.20256.

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

pith.paper-citation-record.v1
2504.20256 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:38:04.010049Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

verified exact0
verified fuzzy17
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 93bf5358-70e3-498f-8bac-6149125f4450 · outbound

This paper cites Bongard and H.

Optimizing Hard Thresholding for Sparse Model Discovery Bongard and H

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:38:04.655076Z

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Observation 1e50bd3a-aa59-4b40-b2fd-775259c9c42c · outbound

This paper cites an unresolved cited work.

Optimizing Hard Thresholding for Sparse Model Discovery Unresolved cited work

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d16e52b-0583-4bca-8973-13bfe51e7a0d · outbound

This paper cites Berry and S.

Optimizing Hard Thresholding for Sparse Model Discovery Berry and S

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:38:04.633958Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2219e28a-08d5-4d87-9ba0-b92505c57809 · outbound

This paper cites an unresolved cited work.

Optimizing Hard Thresholding for Sparse Model Discovery Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:38:04.620152Z

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Observation 33d1940f-36d1-4982-874b-3a9ad9be4b7b · outbound

This paper cites Tran and R.

Optimizing Hard Thresholding for Sparse Model Discovery Tran and R

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:38:04.607413Z

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Observation 59d45963-34d8-41cd-b2e8-fdb363dc31c9 · outbound

This paper cites an unresolved cited work.

Optimizing Hard Thresholding for Sparse Model Discovery Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:38:04.594430Z

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Observation 7497e7cc-7282-4654-b451-4d5a0ba5ad93 · outbound

This paper cites Boninsegna, F.

Optimizing Hard Thresholding for Sparse Model Discovery Boninsegna, F

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:38:04.581195Z

Source-reported events for the cited work

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Observation c65e1301-5d87-4d5a-b2a1-94706ec410e1 · outbound

This paper cites an unresolved cited work.

Optimizing Hard Thresholding for Sparse Model Discovery Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:38:04.568124Z

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Observation 0d8fb0d1-7037-4b9c-adec-dd8df7615241 · outbound

This paper cites an unresolved cited work.

Optimizing Hard Thresholding for Sparse Model Discovery Unresolved cited work

Reference 9

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Source-reported events for the cited work

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Observation d583f99e-308e-4103-996c-5df4d5c7df55 · outbound

This paper cites an unresolved cited work.

Optimizing Hard Thresholding for Sparse Model Discovery Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:38:04.547710Z

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Observation 786a37ea-5b0c-4c11-97ba-befceb607e33 · outbound

This paper cites Cuomo, V.

Optimizing Hard Thresholding for Sparse Model Discovery Cuomo, V

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T05:38:03.872204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16f8a1c7-29e4-4c21-b3f8-9db063ab9c85 · outbound

This paper cites A Mathematical Guide to Operator Learning.

Optimizing Hard Thresholding for Sparse Model Discovery A Mathematical Guide to Operator Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T05:38:03.876371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f916bb9-b78d-480c-b604-07b65f25dd01 · outbound

This paper cites an unresolved cited work.

Optimizing Hard Thresholding for Sparse Model Discovery Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T05:38:03.880912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 879d5d81-a150-4540-bc98-7c4bbb8c09f3 · outbound

This paper cites an unresolved cited work.

Optimizing Hard Thresholding for Sparse Model Discovery Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:38:04.518135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9fac5901-daed-4523-a482-be79642ab427 · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Optimizing Hard Thresholding for Sparse Model Discovery Fourier Neural Operator for Parametric Partial Differential Equations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T05:38:03.888843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9e421b6-4c54-4d5c-856a-25cc530949b7 · outbound

This paper cites an unresolved cited work.

Optimizing Hard Thresholding for Sparse Model Discovery Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T05:38:03.893088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23dd7b67-94f6-4236-8eab-a9d88a4fedc6 · outbound

This paper cites an unresolved cited work.

Optimizing Hard Thresholding for Sparse Model Discovery Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:38:04.498610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 622b5cf2-e2c9-44a5-8001-c7c22b203853 · outbound

This paper cites Time-Series Forecasting, Knowledge Distillation, and Refinement within a Multimodal PDE Foundation Model.

Optimizing Hard Thresholding for Sparse Model Discovery Time-Series Forecasting, Knowledge Distillation, and Refinement within a Multimodal PDE Foundation Model

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T05:38:03.901346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1628db81-7423-4c5b-a16b-d1d33a7e812a · outbound

This paper cites an unresolved cited work.

Optimizing Hard Thresholding for Sparse Model Discovery Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:38:04.485298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c4167f94-3ab9-4780-8cba-3da48dc73b17 · outbound

This paper cites Finally we will compare these four algorithms in the following section.

Optimizing Hard Thresholding for Sparse Model Discovery Finally we will compare these four algorithms in the following section

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:38:04.682014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d5c96ab4-e536-4d28-8ff7-4041cd4aa240 · outbound

This paper cites Fasel, J.

Optimizing Hard Thresholding for Sparse Model Discovery Fasel, J

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:38:04.472237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f11b3e2a-bfbe-4f71-8899-fe2801178c57 · outbound

This paper cites an unresolved cited work.

Optimizing Hard Thresholding for Sparse Model Discovery Unresolved cited work

Reference 22

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Source-reported events for the cited work

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Observation 96a7e11d-277b-4411-992e-a715aa84e0cd · outbound

This paper cites an unresolved cited work.

Optimizing Hard Thresholding for Sparse Model Discovery Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T05:38:03.921672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2474f83a-47ca-4168-bc44-819aa8b17d33 · outbound

This paper cites Schaeffer and S.

Optimizing Hard Thresholding for Sparse Model Discovery Schaeffer and S

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T05:38:03.917644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f0d5423-5c24-495a-adba-2b396eaba0f3 · outbound

This paper cites Schaeffer, G.

Optimizing Hard Thresholding for Sparse Model Discovery Schaeffer, G

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:38:04.429903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 07b034ad-53c0-479c-b809-55f121931555 · outbound

This paper cites an unresolved cited work.

Optimizing Hard Thresholding for Sparse Model Discovery Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:38:04.442088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 75bed9c8-b65c-433f-acca-e7d6a454087d · outbound

This paper cites Zhang and H.

Optimizing Hard Thresholding for Sparse Model Discovery Zhang and H

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T05:38:03.937977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b426a23-db15-4ec9-ad42-08397401dc3e · outbound

This paper cites Fasel, E.

Optimizing Hard Thresholding for Sparse Model Discovery Fasel, E

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:38:04.417462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 99cca217-87f4-4c6a-8ca5-d457a4a92b44 · outbound

This paper cites an unresolved cited work.

Optimizing Hard Thresholding for Sparse Model Discovery Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:38:04.404687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b774c7e-2646-4296-afb1-e6312e6f8aaa · outbound

This paper cites ADAM-SINDy: An Efficient Optimization Framework for Parameterized Nonlinear Dynamical System Identification.

Optimizing Hard Thresholding for Sparse Model Discovery ADAM-SINDy: An Efficient Optimization Framework for Parameterized Nonlinear Dynamical System Identification

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T05:38:03.942345Z

Source-reported events for the cited work

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Observation 6a546058-62eb-48c6-8a99-3ac72f2eff19 · outbound

This paper cites Mars Gao and J.

Optimizing Hard Thresholding for Sparse Model Discovery Mars Gao and J

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:38:04.391861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a8338b9e-d71c-46c7-a15a-e4493ef77abb · outbound

This paper cites BINDy -- Bayesian identification of nonlinear dynamics with reversible-jump Markov-chain Monte-Carlo.

Optimizing Hard Thresholding for Sparse Model Discovery BINDy -- Bayesian identification of nonlinear dynamics with reversible-jump Markov-chain Monte-Carlo

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T05:38:03.951600Z

Source-reported events for the cited work

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Observation f9c50807-6ff3-404d-80ee-3d6ed13c22fb · outbound

This paper cites an unresolved cited work.

Optimizing Hard Thresholding for Sparse Model Discovery Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:38:04.379197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0c31c4f1-db77-4a63-9cbe-0b296dd51b30 · outbound

This paper cites an unresolved cited work.

Optimizing Hard Thresholding for Sparse Model Discovery Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T05:38:03.960571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff9b086d-af8f-49e4-b8f8-09eb96725305 · outbound

This paper cites an unresolved cited work.

Optimizing Hard Thresholding for Sparse Model Discovery Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:38:04.351839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 61a8b0ff-3ee7-4e5b-805b-b495be1645c3 · outbound

This paper cites Chartrand, Numerical differentiation of noisy, non- smooth data, International Scholarly Research Notices 2011, 164564 (2011).

Optimizing Hard Thresholding for Sparse Model Discovery Chartrand, Numerical differentiation of noisy, non- smooth data, International Scholarly Research Notices 2011, 164564 (2011)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:38:04.366408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8bdc9f35-a2de-4e49-9455-a5b4f74bfe4b · outbound

This paper cites Van Breugel, J.

Optimizing Hard Thresholding for Sparse Model Discovery Van Breugel, J

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:38:04.338541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2383cc88-723b-488e-a546-433b36e9dd00 · outbound

This paper cites van Breugel, J.

Optimizing Hard Thresholding for Sparse Model Discovery van Breugel, J

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T05:38:03.977398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f626c97-4431-47b2-8a14-8e66b688f631 · outbound

This paper cites Geman and D.

Optimizing Hard Thresholding for Sparse Model Discovery Geman and D

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:38:04.311170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation deace1a4-f31c-4940-99ee-4b1a8e80093b · outbound

This paper cites Kay, The risk of bias in denoising methods: Examples from neuroimaging, PLoS One 17, e0270895 (2022).

Optimizing Hard Thresholding for Sparse Model Discovery Kay, The risk of bias in denoising methods: Examples from neuroimaging, PLoS One 17, e0270895 (2022)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:38:04.325319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bce46ec9-667f-4ea6-aa5d-c0c3aa3503a1 · outbound

This paper cites Blumensath and M.

Optimizing Hard Thresholding for Sparse Model Discovery Blumensath and M

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:38:04.282359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a19cac9c-9060-42b6-a8ee-1ba9dee0080f · outbound

This paper cites Foucart, Hard thresholding pursuit: an algorithm for compressive sensing, SIAM Journal on numerical analysis 49, 2543 (2011).

Optimizing Hard Thresholding for Sparse Model Discovery Foucart, Hard thresholding pursuit: an algorithm for compressive sensing, SIAM Journal on numerical analysis 49, 2543 (2011)

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:38:04.295874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b10ae8a6-ee49-456f-b900-31e046dc3f3e · outbound

This paper cites Chaos as an interpretable benchmark for forecasting and data-driven modelling.

Optimizing Hard Thresholding for Sparse Model Discovery Chaos as an interpretable benchmark for forecasting and data-driven modelling

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T05:38:04.005383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d1dfbf0-bc59-49f3-ac07-681821ec61f5 · outbound

This paper cites Lorenz, Deterministic nonperiodic flow, Journal of At- mospheric Sciences 20 (1963).

Optimizing Hard Thresholding for Sparse Model Discovery Lorenz, Deterministic nonperiodic flow, Journal of At- mospheric Sciences 20 (1963)

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:38:04.269437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0cbb90db-a1c4-4022-8937-be179024cf9e · outbound

This paper cites an unresolved cited work.

Optimizing Hard Thresholding for Sparse Model Discovery Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:38:04.255080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a8333032-e22c-4fb5-a9f7-8ae5fbda3c77 · outbound

This paper cites for i = 1,..., 6 near α = π 5.

Optimizing Hard Thresholding for Sparse Model Discovery for i = 1,..., 6 near α = π 5

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:38:04.667936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.