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Paper Citation Record · LEDGER

End-to-End Diffusion Latent Optimization Improves Classifier Guidance

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.13703.

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

pith.paper-citation-record.v1
2303.13703 v2

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-08T06:24:29.841730Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T06:24:42.109251Z

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 fe0aa61b-d13e-40e9-a703-2934d6abe881 · inbound

Directly Fine-Tuning Diffusion Models on Differentiable Rewards cites this paper.

Directly Fine-Tuning Diffusion Models on Differentiable Rewards End-to-End Diffusion Latent Optimization Improves Classifier Guidance

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:11:32.115229Z

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=2026-05-16T09:11:32.018262Z digest=sha256:68f2922a00a37d27dae9299a47394e900863f95234a1f463ef05493c3dd960d1

Observation 01414fb3-8997-4afb-8574-f2424ac889a2 · inbound

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models cites this paper.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models End-to-End Diffusion Latent Optimization Improves Classifier Guidance

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-07-08T06:24:42.110877Z

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=2026-07-08T06:24:29.841730Z digest=sha256:3aebc9663f4b61b8e822644ccddcc65aa12feeb5d2431fcd2f8f920d4f18906a