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Paper Citation Record · LEDGER

Evaluating Robustness in Latent Diffusion Models via Embedding Level Augmentation

As of 16 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2506.07706.

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

pith.paper-citation-record.v1
2506.07706 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:32:24.416577Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

11 of 11 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d4513b7b-2a6a-48da-83a5-4d4b501a5080 · outbound

This paper cites Stable diffusion 2.0 and 2.1 release.

Evaluating Robustness in Latent Diffusion Models via Embedding Level Augmentation Stable diffusion 2.0 and 2.1 release

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.566691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:32:24.381284Z digest=sha256:f4978089b58fcd3322a84f08e375eb132c03e7e78d54c12935a3b6c81842072c

Observation bfd514ce-c51a-41e5-9025-cbbfbb01adae · outbound

This paper cites Stable diffusion prompts dataset.

Evaluating Robustness in Latent Diffusion Models via Embedding Level Augmentation Stable diffusion prompts dataset

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.544644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:32:24.385456Z digest=sha256:50dc660ddf24e3d9613aeece3bfebaa8e6006501cd9f3462e0caf996077d09b2

Observation 92e4fc2d-a636-4191-bb65-8515f92df02f · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Evaluating Robustness in Latent Diffusion Models via Embedding Level Augmentation Denoising Diffusion Probabilistic Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:24.388708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:24.388708Z digest=sha256:45b81870815cc129065803c874640a5debc31917ba36328c351dfae7cd2a12b7

Observation 6a871476-ba1a-4a26-b485-60b208ae3514 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Evaluating Robustness in Latent Diffusion Models via Embedding Level Augmentation LoRA: Low-Rank Adaptation of Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:24.392342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:24.392342Z digest=sha256:15a379ca30e222b646d89837c62d46fe9f344cafb53f21ec8be2cd59c4482b87

Observation fcba4172-75d3-46ce-b928-7ef73caec2c9 · outbound

This paper cites Auto-Encoding Variational Bayes.

Evaluating Robustness in Latent Diffusion Models via Embedding Level Augmentation Auto-Encoding Variational Bayes

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:24.396385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:24.396385Z digest=sha256:0d3441871240c03a25d4ff765374b02e74200ff475a972b954ed6470cfc79260

Observation 5d1d1425-2760-42da-b8be-296f367445ff · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Evaluating Robustness in Latent Diffusion Models via Embedding Level Augmentation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:24.400015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:24.400015Z digest=sha256:f06fb11e6f7deac14f59c7073c387bcc10e41df80ad52a0553001a101a61601c

Observation 027cd1f1-58f6-45ea-85dd-3cabb2a91f2a · outbound

This paper cites Dreambooth dataset.

Evaluating Robustness in Latent Diffusion Models via Embedding Level Augmentation Dreambooth dataset

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.532832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:32:24.404095Z digest=sha256:ec79f594544da5832c31b44411acfd00836305b32fab5fc9f3110f2e874d018d

Observation 12c5978c-1a30-489c-8c1b-5c5fccae9036 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

Evaluating Robustness in Latent Diffusion Models via Embedding Level Augmentation High-Resolution Image Synthesis with Latent Diffusion Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:24.406854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:24.406854Z digest=sha256:f134eaefc4161cdffaf88719f3fd4fc0165b8c946c7b75e383cf32c1cec30bc1

Observation baea3b47-b4bb-4806-be01-27374d4c5bd3 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Evaluating Robustness in Latent Diffusion Models via Embedding Level Augmentation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:24.410145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:24.410145Z digest=sha256:b467bf29ee92a81c7859255bd1c7b0834eaa8b781b0064d1c161d73ddae15b27

Observation b630d634-12c6-42a4-a001-ef7605dca687 · outbound

This paper cites DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation.

Evaluating Robustness in Latent Diffusion Models via Embedding Level Augmentation DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:24.413204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:24.413204Z digest=sha256:70853aada7d2e1d41a556bcd5f8c9dfe7c4cc9a8a359760b86c2c5a9652e9a51

Observation 73383b0a-ca17-4bba-9cd9-0d539f0ebdcc · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

Evaluating Robustness in Latent Diffusion Models via Embedding Level Augmentation Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:24.416577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:24.416577Z digest=sha256:2f301a4956cc0e236c3c212de6f02268dc41135eaf9f52474e6d0d99b95f6626

Pith citing papers

No inbound Pith citation observations are available.