Paper Citation Record · LEDGER

Minimax Theory of Likelihood-Based Deep Learning for Speckle Regression

As of 10 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.14064.

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

pith.paper-citation-record.v1
2607.14064 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T03:01:44.846388Z

measured 13 of 13 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 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

13 of 13 outbound references displayed

verified exact0
verified fuzzy0
unresolved12
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 69d20e25-ed6a-4f1c-907a-74a6bfafd7c7 · outbound

This paper cites an unresolved cited work.

Minimax Theory of Likelihood-Based Deep Learning for Speckle Regression Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:43.433986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f57982d-3b62-486e-a6f4-d1f372d4efa3 · outbound

This paper cites We specify the data generating regression function class based on the above construction.

Minimax Theory of Likelihood-Based Deep Learning for Speckle Regression We specify the data generating regression function class based on the above construction

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:44.725685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d2ce91f-9f4f-44bd-9f90-1438ea20a6eb · outbound

This paper cites , l|J |},Θ ∗ ij =1{1≤i≤ |J |, j=l i}.

Minimax Theory of Likelihood-Based Deep Learning for Speckle Regression , l|J |},Θ ∗ ij =1{1≤i≤ |J |, j=l i}

Reference 4

Resolution: malformed identifier; no resolver link, observed 2026-08-02T03:01:44.619065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3860b457-8b0f-487e-b9c5-a9fa9bed24cd · outbound

This paper cites Gilbert, E.

Minimax Theory of Likelihood-Based Deep Learning for Speckle Regression Gilbert, E

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:43.730607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a4108f9-eacc-422e-9b51-2624962c5638 · outbound

This paper cites Multilook Coherent Imaging: Theoretical Guarantees and Algorithms.

Minimax Theory of Likelihood-Based Deep Learning for Speckle Regression Multilook Coherent Imaging: Theoretical Guarantees and Algorithms

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:43.599978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78b083c9-e254-4506-ad5d-6827a25233fe · outbound

This paper cites Laurent, B.

Minimax Theory of Likelihood-Based Deep Learning for Speckle Regression Laurent, B

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:44.234456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98c82bad-de96-42d5-8421-ee0ce71a76fd · outbound

This paper cites Lemma 5.(Vershynin, 2018, Theorem 2.9.1) Suppose thatZ 1,.

Minimax Theory of Likelihood-Based Deep Learning for Speckle Regression Lemma 5.(Vershynin, 2018, Theorem 2.9.1) Suppose thatZ 1,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:44.546304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33caf2d0-80f6-4457-b035-39a73e621897 · outbound

This paper cites We provide the details here for completeness.

Minimax Theory of Likelihood-Based Deep Learning for Speckle Regression We provide the details here for completeness

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:44.846388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fefc905-960d-408f-8851-187e138a4401 · outbound

This paper cites L., Looby, K.

Minimax Theory of Likelihood-Based Deep Learning for Speckle Regression L., Looby, K

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:43.973498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5d2dbfc-db9a-4d97-99b5-bbaa0f1e774d · outbound

This paper cites an unresolved cited work.

Minimax Theory of Likelihood-Based Deep Learning for Speckle Regression Unresolved cited work

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:44.303938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5d73345-670d-49fc-ac32-88d7c10a006d · outbound

This paper cites Korostelev, A.

Minimax Theory of Likelihood-Based Deep Learning for Speckle Regression Korostelev, A

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:44.109803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a19ee160-061f-4690-810d-d0083662277d · outbound

This paper cites an unresolved cited work.

Minimax Theory of Likelihood-Based Deep Learning for Speckle Regression Unresolved cited work

Reference 114

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:44.426094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c7933b0-83a6-4d6f-8725-92ec060c80bb · outbound

This paper cites an unresolved cited work.

Minimax Theory of Likelihood-Based Deep Learning for Speckle Regression Unresolved cited work

Reference 522

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:43.834790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.