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Paper Citation Record · LEDGER

Reverse Convolution and Its Applications to Image Restoration

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:53:40.830884Z digest=sha256:5b810fdf7a18d21bb456e85438827774e5e3bf6cd5984734f7cb49cb1ac01951

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=sha256:83a9ad323c0595a0f212a98bb53170f4af3a592984f84f63c1d4142a4fa612fd

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:c5649bcfe1265fee3efa8c637d1c8c52d6d09b5210ae531c266a1403fabcc14e

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:eaaa38817daabf9005de70be3ff250e9ea98a53d349fa9423822f56ab2beda37

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=sha256:7609e8bec91cdeeeacf2386575d88b89494bd7f3eb8af6193587a877ddcdbd26

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:53:40.947400Z digest=sha256:bd1a04fc30d6c69c6c2ca70f16ee197aecc9ad35ca7e6f137e2b4302066a219a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:53:40.344085Z digest=sha256:4ba2deaa177db6395bc7a4f76c4ed15633d4eac5f8713df5e852ed6c489a11f3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:53:40.188696Z digest=sha256:838c192577e4260e09d2e3b3a4a158e99e9ac01042f50d444e94ecc619644165

Pith citing papers

No inbound Pith citation observations are available.