Paper Citation Record · LEDGER

Attractor Geometry Determines the Identifiability Limits of System Discovery

As of 17 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.18490.

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

pith.paper-citation-record.v1
2607.18490 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:24:51.770121Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

36 of 36 outbound references displayed

verified exact4
verified fuzzy0
unresolved29
parse uncertain0
malformed identifier3
metadata mismatch0

External citation measurements

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Outbound references

Observation 936b1ab7-1569-408c-b3eb-a3a4738ea865 · outbound

This paper cites SRBench++: Principled benchmarking of symbolic regression with domain- expert interpretation.IEEE Transactions on Evolutionary Computation, 29:1127–1134, 2024.

Attractor Geometry Determines the Identifiability Limits of System Discovery SRBench++: Principled benchmarking of symbolic regression with domain- expert interpretation.IEEE Transactions on Evolutionary Computation, 29:1127–1134, 2024

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:50.256456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01af862b-73e7-42f4-9918-1daff56b2fde · outbound

This paper cites Brunton, Joshua L.

Attractor Geometry Determines the Identifiability Limits of System Discovery Brunton, Joshua L

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:50.336267Z

Source-reported events for the cited work

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Observation 1e53e86e-bf21-4962-8749-bf7c9cf33a23 · outbound

This paper cites Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl.

Attractor Geometry Determines the Identifiability Limits of System Discovery Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:50.479765Z

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Observation eb0c25b2-f7a1-4a72-b179-0fff801c0165 · outbound

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

Attractor Geometry Determines the Identifiability Limits of System Discovery Distilling free-form natural laws from experimental data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:50.614235Z

Source-reported events for the cited work

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Observation 2246e062-905d-4b40-91b7-8aaadbb197b5 · outbound

This paper cites Nathan Kutz, and Steven L.

Attractor Geometry Determines the Identifiability Limits of System Discovery Nathan Kutz, and Steven L

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:50.722839Z

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Observation 88a09e84-d432-47e6-a523-1aecbdace9df · outbound

This paper cites Mangan, Steven L.

Attractor Geometry Determines the Identifiability Limits of System Discovery Mangan, Steven L

Reference 6

Resolution: verified exact; doi, observed 2026-08-01T15:28:36.058135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1bb26ecb-c9e7-4bad-8069-b66b0ceab58d · outbound

This paper cites Discovering symbolic models from deep learning with inductive biases.

Attractor Geometry Determines the Identifiability Limits of System Discovery Discovering symbolic models from deep learning with inductive biases

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:50.895371Z

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Observation c255c7eb-6e9b-416c-9439-a6783c3228a6 · outbound

This paper cites Champion, Steven L.

Attractor Geometry Determines the Identifiability Limits of System Discovery Champion, Steven L

Reference 8

Resolution: verified exact; doi, observed 2026-08-01T15:28:35.858614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 497caaa5-a6a4-4ece-8f38-1908a3a77753 · outbound

This paper cites Multi-objective SINDy for parameterized model discovery from single transient trajectory data.Nonlinear Dynamics, 113:10911–10927, 2024.

Attractor Geometry Determines the Identifiability Limits of System Discovery Multi-objective SINDy for parameterized model discovery from single transient trajectory data.Nonlinear Dynamics, 113:10911–10927, 2024

Reference 9

Resolution: verified exact; doi, observed 2026-08-01T15:28:35.396680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 34021e53-c460-4277-9484-8e1141d72c89 · outbound

This paper cites On the persistency of excitation.

Attractor Geometry Determines the Identifiability Limits of System Discovery On the persistency of excitation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.249354Z

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Observation cb79fda2-de3b-4e4f-ac3c-25521ab6fa79 · outbound

This paper cites Dover Publications, 2nd edition, 2008.

Attractor Geometry Determines the Identifiability Limits of System Discovery Dover Publications, 2nd edition, 2008

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.405843Z

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Observation 56dd4ba3-9208-478e-ba7b-08c6c37758a3 · outbound

This paper cites Nathan Kutz.

Attractor Geometry Determines the Identifiability Limits of System Discovery Nathan Kutz

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-08-01T15:28:34.611638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ef604a45-0a09-49b0-bef9-f7b24be85b95 · outbound

This paper cites When is a System Discoverable from Data? Discovery Requires Chaos.

Attractor Geometry Determines the Identifiability Limits of System Discovery When is a System Discoverable from Data? Discovery Requires Chaos

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.678770Z

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Observation fecf904d-5cf7-43c4-a4cf-d24e2902859c · outbound

This paper cites Exact Recovery of Chaotic Systems from Highly Corrupted Data.

Attractor Geometry Determines the Identifiability Limits of System Discovery Exact Recovery of Chaotic Systems from Highly Corrupted Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.701885Z

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Observation ea40a608-4fb2-47c0-84e4-ebceb7e783f2 · outbound

This paper cites Extracting Sparse High-Dimensional Dynamics from Limited Data.

Attractor Geometry Determines the Identifiability Limits of System Discovery Extracting Sparse High-Dimensional Dynamics from Limited Data

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.705522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d89798a-ef48-4926-bdc5-48b90969f8a2 · outbound

This paper cites Extracting structured dynamical systems using sparse optimization with very few samples.

Attractor Geometry Determines the Identifiability Limits of System Discovery Extracting structured dynamical systems using sparse optimization with very few samples

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.709244Z

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Observation 30b9baf6-2aa4-403b-aab5-a58cff8d7be2 · outbound

This paper cites Recovery guarantees for polynomial approximation from dependent data with outliers.

Attractor Geometry Determines the Identifiability Limits of System Discovery Recovery guarantees for polynomial approximation from dependent data with outliers

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.713204Z

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Observation 0b7ed2f8-82ef-4db4-b0af-31e542608901 · outbound

This paper cites Kaptanoglu, Linan Zhang, Zachary G.

Attractor Geometry Determines the Identifiability Limits of System Discovery Kaptanoglu, Linan Zhang, Zachary G

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.716218Z

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Observation 4e0d4e44-a9ab-44e5-998f-230eaa0b8359 · outbound

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

Attractor Geometry Determines the Identifiability Limits of System Discovery Chaos as an interpretable benchmark for forecasting and data-driven modelling

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.720122Z

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Observation 4af57069-0c03-4f7d-b488-600b5ff84a01 · outbound

This paper cites an unresolved cited work.

Attractor Geometry Determines the Identifiability Limits of System Discovery Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.723323Z

Source-reported events for the cited work

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Observation 6790585d-ca5a-4797-8af6-a8b590609b42 · outbound

This paper cites an unresolved cited work.

Attractor Geometry Determines the Identifiability Limits of System Discovery Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.726270Z

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Observation 94e88918-248f-4f59-ad62-31743c861bf9 · outbound

This paper cites Birkhoff.

Attractor Geometry Determines the Identifiability Limits of System Discovery Birkhoff

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.729487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09336464-972b-4285-b48e-2730050143d0 · outbound

This paper cites an unresolved cited work.

Attractor Geometry Determines the Identifiability Limits of System Discovery Unresolved cited work

Reference 23

Resolution: malformed identifier; no resolver link, observed 2026-08-01T15:24:51.733095Z

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Observation bfce62b9-3ab8-4cb9-b074-0a99e437a48c · outbound

This paper cites Delahunt and J.

Attractor Geometry Determines the Identifiability Limits of System Discovery Delahunt and J

Reference 24

Resolution: malformed identifier; no resolver link, observed 2026-08-01T15:24:51.735689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13b505ce-a8f8-42f4-999d-41be472db039 · outbound

This paper cites Sparse identification of nonlinear dynamical systems via reweighted ℓ1-regularized least squares.Computer Methods in Applied Mechanics and Engineering, 376:113620, 2021.

Attractor Geometry Determines the Identifiability Limits of System Discovery Sparse identification of nonlinear dynamical systems via reweighted ℓ1-regularized least squares.Computer Methods in Applied Mechanics and Engineering, 376:113620, 2021

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.738247Z

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Observation abbe5a5c-9467-418a-a50f-e5df02642047 · outbound

This paper cites Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery.

Attractor Geometry Determines the Identifiability Limits of System Discovery Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.740856Z

Source-reported events for the cited work

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Observation 43ce39e9-61b7-4313-9b45-64a229dd3b96 · outbound

This paper cites Benchmarking symbolic regression constant optimization schemes.

Attractor Geometry Determines the Identifiability Limits of System Discovery Benchmarking symbolic regression constant optimization schemes

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.743762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26c403cb-1ae3-4329-8e52-7c5d15c54089 · outbound

This paper cites Nathan Kutz, and Steven L.

Attractor Geometry Determines the Identifiability Limits of System Discovery Nathan Kutz, and Steven L

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.747125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c18cc411-caab-42b6-9116-93ab72eb08bf · outbound

This paper cites Symbolic Regression via Neural-Guided Genetic Programming Population Seeding.

Attractor Geometry Determines the Identifiability Limits of System Discovery Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.750412Z

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Observation 49ffd1da-4463-457f-8184-7c8a8f47a2df · outbound

This paper cites Radhakrishna Rao.

Attractor Geometry Determines the Identifiability Limits of System Discovery Radhakrishna Rao

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.753018Z

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Observation 2f1d5dbc-d358-4e11-a92d-20dddd56f3eb · outbound

This paper cites an unresolved cited work.

Attractor Geometry Determines the Identifiability Limits of System Discovery Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.755403Z

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Observation c6965f92-1720-4398-a0f1-4f1f15388718 · outbound

This paper cites Lyapunov characteristic exponents for smooth dynamical systems and for Hamiltonian systems; a method for computing all of them.

Attractor Geometry Determines the Identifiability Limits of System Discovery Lyapunov characteristic exponents for smooth dynamical systems and for Hamiltonian systems; a method for computing all of them

Reference 32

Resolution: malformed identifier; no resolver link, observed 2026-08-01T15:24:51.758517Z

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Unavailable: canonical work link unavailable.

Observation 3c2e63e5-24ea-4877-b62c-f07361d63ad9 · outbound

This paper cites Kaptanoglu, Brian M.

Attractor Geometry Determines the Identifiability Limits of System Discovery Kaptanoglu, Brian M

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.761930Z

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Observation 9754a10f-1431-49cf-8266-93b8a7ab28c1 · outbound

This paper cites combined.

Attractor Geometry Determines the Identifiability Limits of System Discovery combined

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.764957Z

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Observation 74bc43ab-d8cd-4da9-a599-0cf0449fcba8 · outbound

This paper cites In practice.

Attractor Geometry Determines the Identifiability Limits of System Discovery In practice

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:51.770121Z

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Unavailable: canonical work link unavailable.

Observation fa2fb697-b183-411d-a90f-f3476d9a4081 · outbound

This paper cites Discovering Symbolic Models from Deep Learning with Inductive Biases.

Attractor Geometry Determines the Identifiability Limits of System Discovery Discovering Symbolic Models from Deep Learning with Inductive Biases

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-01T15:24:50.984921Z

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Pith citing papers

No inbound Pith citation observations are available.