Paper Citation Record · LEDGER

Debiasing Text-to-Image Diffusion Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.14577.

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

pith.paper-citation-record.v1
2402.14577 v1

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 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:40:32.334833Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T21:18:00.294410Z

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 13a24bd6-254d-45ed-8572-62011876a6b1 · inbound

ResidualDroppath: Enhancing Feature Reuse over Residual Connections cites this paper.

ResidualDroppath: Enhancing Feature Reuse over Residual Connections Debiasing Text-to-Image Diffusion Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T20:40:32.334833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53272900-17fd-40e5-9c8c-7be3d854f079 · inbound

VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models cites this paper.

VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models Debiasing Text-to-Image Diffusion Models

Reference 135

Resolution: unresolved; no resolver link, observed 2026-08-12T16:22:44.242344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dce5426-5176-444b-8a38-6943ef11c395 · inbound

Attention, May I Have Your Decision? Localizing Generative Choices in Diffusion Models cites this paper.

Attention, May I Have Your Decision? Localizing Generative Choices in Diffusion Models Debiasing Text-to-Image Diffusion Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:18:00.296459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 22d460f0-1aa2-4860-9083-6342165c24bc · inbound

Efficient bias mitigation in T2I diffusion models using Concept Graphs cites this paper.

Efficient bias mitigation in T2I diffusion models using Concept Graphs Debiasing Text-to-Image Diffusion Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-12T02:49:55.052762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.