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Paper Citation Record · LEDGER

Unmasking Bias in Diffusion Model Training

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.08442.

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

pith.paper-citation-record.v1
2310.08442 v3

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 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:15:29.754968Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:36:26.437214Z

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 2cd264e8-61ff-409b-8fc5-b0dfbed86e53 · inbound

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation cites this paper.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unmasking Bias in Diffusion Model Training

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:29.754968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:15:29.754968Z digest=sha256:82336ce8004cc0bcae52116826010771f8297dff79a6be0a7cd190cc6797be18

Observation 3231ba99-df30-454f-9311-d43560ac30af · inbound

ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting cites this paper.

ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting Unmasking Bias in Diffusion Model Training

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T13:36:04.916400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:36:04.916400Z digest=sha256:2d14419595e64234f22692bcf529a089442d2e49a5030b1205130d60fb2b949d

Observation 6a0cc815-414d-4097-914a-9c68c71f3f86 · inbound

SynBoost: A Synergistic Framework for Fast Sampling of Diffusion Models cites this paper.

SynBoost: A Synergistic Framework for Fast Sampling of Diffusion Models Unmasking Bias in Diffusion Model Training

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T00:47:18.994664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:47:18.994664Z digest=sha256:37ed3fa1c962dad92161fc1424cb33d4feca09df7f98fd4a8a995dc2e1ee5d90

Observation 222e4409-558a-4f7d-aefc-f9ed19eec0c6 · inbound

Elucidating Representation Degradation Problem in Diffusion Model Training cites this paper.

Elucidating Representation Degradation Problem in Diffusion Model Training Unmasking Bias in Diffusion Model Training

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:36:26.440597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-12T04:08:11.110912Z digest=sha256:43b499d75484f170e5271ed6628e65d96f65a7ae82e42eedde61ace96210d5ad