Paper Citation Record · LEDGER

Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification

As of 7 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2505.22926.

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

pith.paper-citation-record.v1
2505.22926 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:00:46.317935Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

6 of 6 outbound references displayed

verified exact0
verified fuzzy4
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5b97c766-df10-4727-95ef-7bcefdb53af2 · outbound

This paper cites Mixmatch: A holistic approach to semi-supervised learning.

Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification Mixmatch: A holistic approach to semi-supervised learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:47.244312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62db7027-b3d1-4568-9580-33934814b967 · outbound

This paper cites Denoising diffusion probabilistic models.

Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification Denoising diffusion probabilistic models

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:47.043707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9fac5ac5-932d-456d-88b2-09e32bbe092f · outbound

This paper cites Diffusemix: Label-preserving data augmentation with diffusion models.

Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification Diffusemix: Label-preserving data augmentation with diffusion models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:46.860587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 25cde33f-bb7b-4eac-8506-c44ab417525b · outbound

This paper cites Effective data augmentation with diffusion models.

Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification Effective data augmentation with diffusion models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:46.645904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 47e1cba7-802c-4b0c-9aaa-5a53a528fd20 · outbound

This paper cites URL: " 'urlintro :=.

Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification URL: " 'urlintro :=

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:46.187813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61e26145-8366-4ff7-ad37-cc58e5ac3123 · outbound

This paper cites write newline.

Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification write newline

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:46.317935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.