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Paper Citation Record · LEDGER

Scaling Laws For Deep Learning Based Image Reconstruction

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2209.13435.

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

pith.paper-citation-record.v1
2209.13435 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:58:19.631766Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:07:08.705454Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 911cff8d-3a9b-47b8-8d48-09344cc9fea7 · inbound

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers cites this paper.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Scaling Laws For Deep Learning Based Image Reconstruction

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.803125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:21cf1b9a646df1b9ec62917a47739156ab0b7bcca23ab6e956bd5c5864b33801

Observation d939e652-1460-4bbf-b453-35302ef4c304 · inbound

Out-of-distribution data supervision towards biomedical semantic segmentation cites this paper.

Out-of-distribution data supervision towards biomedical semantic segmentation Scaling Laws For Deep Learning Based Image Reconstruction

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:19.631766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:19.631766Z digest=sha256:603f952850461d729c871f5a0e5d13ecece483001c27cb1d9611e9bc5b8c3de6

Observation 197baa68-5e81-45f7-a999-c5a90f07c46f · inbound

Model Merging Scaling Laws in Large Language Models cites this paper.

Model Merging Scaling Laws in Large Language Models Scaling Laws For Deep Learning Based Image Reconstruction

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:32:37.803697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T13:32:33.009367Z digest=sha256:6282c2279ad2cf4ea63c5e0f1d5700cf0d2200371c784868424b0ddb752606d6

Observation 80a4729a-2e75-4b16-b37a-d01d49d63ffb · inbound

Compute-Optimal Network Design for Echocardiography Myocardial Segmentation and Perfusion Quantification using Neural Scaling Laws cites this paper.

Compute-Optimal Network Design for Echocardiography Myocardial Segmentation and Perfusion Quantification using Neural Scaling Laws Scaling Laws For Deep Learning Based Image Reconstruction

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:07:08.706922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T23:02:38.001509Z digest=sha256:9094512cffa1f562e30ddaf373ecf390b181759d777a4020d6d2c404122c0618