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Paper Citation Record · LEDGER

On the Robustness of Latent Diffusion Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.08257.

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

pith.paper-citation-record.v1
2306.08257 v1

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:42:52.277702Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:07:56.100871Z

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 5ee77b2b-2460-49c1-a2a4-5bcd26ac6466 · inbound

PLA: Prompt Learning Attack against Text-to-Image Generative Models cites this paper.

PLA: Prompt Learning Attack against Text-to-Image Generative Models On the Robustness of Latent Diffusion Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T17:42:52.277702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:42:52.277702Z digest=sha256:e51fdf5aaaef637b5965b5b69546d135083597db6b64aec1d0392e7f16229d47

Observation a3b487e9-bd47-48c1-9f13-7d75506fa9f5 · inbound

VOID: Defeating Unauthorized Mimicry in Latent Diffusion Models cites this paper.

VOID: Defeating Unauthorized Mimicry in Latent Diffusion Models On the Robustness of Latent Diffusion Models

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:07:56.102203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T10:14:10.924755Z digest=sha256:981c375dc1b68cc04b4bc2209ea609c4c13e140c1cdb36c3f4ce3c9ee3a09a75