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Paper Citation Record · LEDGER

Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.03958.

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

pith.paper-citation-record.v1
2405.03958 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:58:37.276018Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:36:47.037163Z

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 a784ceb9-4a1a-4439-9f82-86125c1e4242 · inbound

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward cites this paper.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T14:58:37.276018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:58:37.276018Z digest=sha256:3b592bd9f8b5719d4e2badb2aecf707257811b6c1200832495af9e4d7d712a4e

Observation 117921f4-6ae8-4b45-8167-f594bf2c789f · inbound

CytoDiff: AI-Driven Cytomorphology Image Synthesis for Medical Diagnostics cites this paper.

CytoDiff: AI-Driven Cytomorphology Image Synthesis for Medical Diagnostics Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:36:47.043051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:46.785697Z digest=sha256:f0e632ecff0b73f834dc0c074702f11660c8a821200cef31c24fad2b7c0642d4