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Paper Citation Record · LEDGER

Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance

As of 7 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2508.09847.

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

pith.paper-citation-record.v1
2508.09847 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:47:54.789984Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

20 of 20 outbound references displayed

  • verified exact0
  • verified fuzzy15
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dabfde50-4ea3-4b98-918b-7baa8975d0fc · outbound

This paper cites Denoising Diffusion Probabilistic Mod- els,.

Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance Denoising Diffusion Probabilistic Mod- els,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:47:55.960332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5f4202b2-66d7-4dcb-8702-e28609cb869a · outbound

This paper cites Scalable Diffusion Models with Transformers.

Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance Scalable Diffusion Models with Transformers

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T20:47:51.789458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b3cce81c-29b9-4989-af5c-e345919d8c57 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations,.

Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance Score-Based Generative Modeling through Stochastic Differential Equations,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:47:55.952160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f8a0e3f2-e661-4dc5-95f5-cc1d9df271b4 · outbound

This paper cites Improved Denoising Diffusion Probabilis- tic Models,.

Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance Improved Denoising Diffusion Probabilis- tic Models,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:47:55.941814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:47:52.016135Z digest=sha256:abfecc88c0bb3c6418bcb987ce6252618d9da6ba2d0e436227d8d08c1ba477d1

Observation 1a52f42b-ad86-4055-868b-2572e507637f · outbound

This paper cites Denoising Diffusion Implicit Models,.

Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance Denoising Diffusion Implicit Models,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T20:47:52.155967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:47:52.155967Z digest=sha256:73accfdbb67fe0c71bbefa4302d0bba7a6d7099bd8435508a8dfd79c9039ef16

Observation d7a7b780-8a29-468e-83c4-087acce54a86 · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis,.

Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance Diffusion Models Beat GANs on Image Synthesis,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:47:55.927554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:47:52.264784Z digest=sha256:4d2e7f1acc482e5a51350206e0b423882921bae0ae2484aaf62340a6552c49ce

Observation 3f6e0bad-6fb5-42c6-9bdd-a9dbacfec4bb · outbound

This paper cites Variational Diffusion Models,.

Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance Variational Diffusion Models,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:47:55.919112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:47:52.339948Z digest=sha256:1a02888bd1924ba4232e2a9abb19e7baf56668827a3f6bded8392d5ab03d7a69

Observation 424a188e-0cf4-408f-a181-39de3ac56080 · outbound

This paper cites Conditioning Diffusion Models via At- tributes and Semantic Masks for Face Generation,.

Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance Conditioning Diffusion Models via At- tributes and Semantic Masks for Face Generation,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:47:55.910163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:47:52.455413Z digest=sha256:b57264a01dd20659f893fe62cf925394d0d3bdcb6a498188e58c5306d9bae702

Observation f73e9f95-7739-44e3-821f-d870be17901e · outbound

This paper cites D2C: Diffusion-Denoising Models for Few-shot Conditional Generation,.

Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance D2C: Diffusion-Denoising Models for Few-shot Conditional Generation,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:47:55.901521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:47:52.528102Z digest=sha256:98c7b954b5acf6bb0f0eb802892e83b65cd20c09856b2f5fcd826b3adf80f500

Observation 20b67462-567b-4604-a0d5-d652c2778107 · outbound

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

Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance High-Resolution Image Synthesis with Latent Diffusion Models,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:47:55.893850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b82c2e88-66dc-408f-9dc0-8e48e7f08382 · outbound

This paper cites Adding Conditional Control to Text-to-Image Diffusion Models,.

Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance Adding Conditional Control to Text-to-Image Diffusion Models,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:47:55.882120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:47:52.708775Z digest=sha256:7ce61a8bc399fc480bc58cd39168c35f26f11b029bd341b76c68b490121b979e

Observation 5ad59a5b-484c-4ba4-bdd3-e366cfa23674 · outbound

This paper cites Conditional Image Synthesis with Diffusion Models: A Survey.

Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance Conditional Image Synthesis with Diffusion Models: A Survey

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T20:47:52.784209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7982d404-af5a-4a57-9d84-427dc02cfb85 · outbound

This paper cites An Image is Worth One Word: Personalizing Text- to-Image Generation using Textual Inversion,.

Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance An Image is Worth One Word: Personalizing Text- to-Image Generation using Textual Inversion,

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 945dfa8a-65da-4f63-9afc-4cc797b6b547 · outbound

This paper cites Stable Diffusion v1-5,.

Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance Stable Diffusion v1-5,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:47:55.563452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:47:53.039444Z digest=sha256:b7dc5c3038fc1b0bce9e625cd62ab046bc3a81ca82defdb97b764479cd92598d

Observation b7af3367-5a18-405d-8f2f-fc140e91ac90 · outbound

This paper cites an unresolved cited work.

Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:47:55.386727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 180a8818-2688-4cc2-8ca9-651a5df6f679 · outbound

This paper cites SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers,.

Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:47:55.369954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:47:53.356299Z digest=sha256:27caab9dcd2248a536b1a72e4872bfaff5ce010bac2f241a944f4a50efd35b28

Observation 6c410f83-8652-4e80-823f-d1899fc9ccba · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance Representation Learning with Contrastive Predictive Coding

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T20:47:54.273933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:47:54.273933Z digest=sha256:f732d3bbd3e75ee65b8fca22d31b1abb01c38651068fef5a27d6c7e15a8bfa46

Observation 3b4dda81-4754-4a83-9dc3-37b1685e1bef · outbound

This paper cites A Simple Framework for Contrastive Learning of Visual Representations,.

Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance A Simple Framework for Contrastive Learning of Visual Representations,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:47:55.288556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:47:54.773250Z digest=sha256:a3f4eeb883e8a053a1ab6936ad59c98a73aeb21ad788a3730dfbeaa23e7971f0

Observation 46ceaf03-ad9d-4379-acc6-d3a8e9852457 · outbound

This paper cites MaskGAN: Towards Diverse and Interactive Facial Image Manipulation,.

Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance MaskGAN: Towards Diverse and Interactive Facial Image Manipulation,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:47:55.165393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:47:54.775719Z digest=sha256:3d2497dfcaec659941be9c80e6034e79aec10ba7380bb53ba67955b498098155

Observation 27961900-5833-4519-8f1c-041beaebf812 · outbound

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

Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance LoRA: Low-Rank Adaptation of Large Language Models,

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Pith citing papers

No inbound Pith citation observations are available.