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Paper Citation Record · LEDGER

Reverse Convolution and Its Applications to Image Restoration

As of 23 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2508.09824.

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

pith.paper-citation-record.v1
2508.09824 v2

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:53:40.947400Z

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

8 of 8 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5d64085d-8e4a-4ebf-9b0f-6a939f8cf964 · outbound

This paper cites By Bernstein-type bounds for sub-exponential random variables, when d = Ω p log(1/δ) , we have: ∥W(0) V ∥2 F ≤ 2d2σ2 1, with probability at least 1 − δ/8.

Reverse Convolution and Its Applications to Image Restoration By Bernstein-type bounds for sub-exponential random variables, when d = Ω p log(1/δ) , we have: ∥W(0) V ∥2 F ≤ 2d2σ2 1, with probability at least 1 − δ/8

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:53:41.414088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T20:53:40.830884Z digest=sha256:e9031136b64aad7ed8611ecd6bc70274be61df7baaf0d135758f376676af8025

Observation 9b8c1007-ece6-4e5f-bd28-1ffd1921598a · outbound

This paper cites A Theoretical Analysis of Self-Supervised Learning for Vision Transformers.

Reverse Convolution and Its Applications to Image Restoration A Theoretical Analysis of Self-Supervised Learning for Vision Transformers

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T20:53:40.258611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:53:40.258611Z digest=sha256:fbcf601b5490a390a7db6cedeb1fc4a86344de18c176cc9455a57edf398f767d

Observation ef84f625-daf7-4a28-82d6-89de4b951014 · outbound

This paper cites On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures.

Reverse Convolution and Its Applications to Image Restoration On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T20:53:40.498128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:53:40.498128Z digest=sha256:971f7f8efda91a9c919549385f76d26cd4437a0359e6f082a596205ab6c8d704

Observation f45318f3-cef2-4aad-b3b3-bd89673c894c · outbound

This paper cites Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models.

Reverse Convolution and Its Applications to Image Restoration Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T20:53:40.619277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:53:40.619277Z digest=sha256:7501a52aa916958d2ffe1bde9ad62bb03bcdf452135e7404e82dc18baa38e7a4

Observation aa3b18c5-23ec-47e6-9973-0621f72de720 · outbound

This paper cites Understanding Fact Recall in Language Models: Why Two-Stage Training Encourages Memorization but Mixed Training Teaches Knowledge.

Reverse Convolution and Its Applications to Image Restoration Understanding Fact Recall in Language Models: Why Two-Stage Training Encourages Memorization but Mixed Training Teaches Knowledge

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T20:53:40.719452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:53:40.719452Z digest=sha256:ca6c500ba862c483f9947ab1215901fecb5fc21d386e55abd81a39234e6dde67

Observation 8f5ffd7a-a322-47bd-b67d-71c90cd8b620 · outbound

This paper cites ≥ ˆC1(C1 ηqV t σ2 1dM 2K − r 2 log(8(2K + K�)2 δ )/(M d1/2)).

Reverse Convolution and Its Applications to Image Restoration ≥ ˆC1(C1 ηqV t σ2 1dM 2K − r 2 log(8(2K + K�)2 δ )/(M d1/2))

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:53:41.218050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T20:53:40.947400Z digest=sha256:ec14ab40fa65ace5616f5dca344a994b306ace0ae4bf2c18a4aae5c2a3e3f306

Observation 3ea896e1-f4bb-40a8-a80d-23e90364950e · outbound

This paper cites Pan, J., Gao, T., Chen, H., and Chen, D.

Reverse Convolution and Its Applications to Image Restoration Pan, J., Gao, T., Chen, H., and Chen, D

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:53:41.593315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T20:53:40.344085Z digest=sha256:b688b3e4e02b4ea5cdb258c3ad952d3204d70e7ab0119a03edb0114a7ee245cf

Observation 466a20d3-6ad1-4449-b0ca-3a604359ad00 · outbound

This paper cites Bai, Y ., Chen, F., Wang, H., Xiong, C., and Mei, S.

Reverse Convolution and Its Applications to Image Restoration Bai, Y ., Chen, F., Wang, H., Xiong, C., and Mei, S

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:53:41.811850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T20:53:40.188696Z digest=sha256:8209f25e0945c8948067d4e030a6c30ee668997425b013cd88321abf68d7cd89

Pith citing papers

No inbound Pith citation observations are available.