Paper Citation Record · LEDGER

Diffusion Models with Adaptive Negative Sampling Without External Resources

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2508.02973.

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

pith.paper-citation-record.v1
2508.02973 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:52:34.538179Z

measured 39 of 39 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

39 of 39 outbound references displayed

verified exact0
verified fuzzy28
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a0641dd0-ce37-452a-a3a5-68d95da70c7a · outbound

This paper cites Negative prompt: Stable diffusion webui.https://github.com/AUTOMATIC1111/ stable - diffusion - webui / wiki / Negative - prompt.

Diffusion Models with Adaptive Negative Sampling Without External Resources Negative prompt: Stable diffusion webui.https://github.com/AUTOMATIC1111/ stable - diffusion - webui / wiki / Negative - prompt

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:39.588531Z

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.

Observation b7a45112-0b6e-4e80-bc7c-f25c99c06839 · outbound

This paper cites Segmentation-free guidance for text-to-image dif- fusion models, 2024.

Diffusion Models with Adaptive Negative Sampling Without External Resources Segmentation-free guidance for text-to-image dif- fusion models, 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:39.393928Z

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.

Observation 349087a7-0369-4695-b2fd-64fc55ce3f30 · outbound

This paper cites Retrieval-augmented diffusion models.

Diffusion Models with Adaptive Negative Sampling Without External Resources Retrieval-augmented diffusion models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:39.156601Z

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.

Observation a3f0f2de-ad9f-4726-807f-184125b58364 · outbound

This paper cites Coyo-700m: Image-text pair dataset.https : / / github.

Diffusion Models with Adaptive Negative Sampling Without External Resources Coyo-700m: Image-text pair dataset.https : / / github

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:38.927127Z

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.

Observation 2814d498-0aaa-4fb0-8731-5c808dac491c · outbound

This paper cites Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models, 2023.

Diffusion Models with Adaptive Negative Sampling Without External Resources Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models, 2023

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:38.716628Z

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.

Observation 1d547997-94f2-4e24-a3c6-e30ea79084cf · outbound

This paper cites Improving image syn- thesis with diffusion-negative sampling, 2024.

Diffusion Models with Adaptive Negative Sampling Without External Resources Improving image syn- thesis with diffusion-negative sampling, 2024

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:38.448902Z

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.

Observation 2027beec-4dc9-4971-a923-2ec52e518edd · outbound

This paper cites Compositional visual generation with energy based models.

Diffusion Models with Adaptive Negative Sampling Without External Resources Compositional visual generation with energy based models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:38.214571Z

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.

Observation 071454ce-1c10-4c59-9592-3d7356ba4266 · outbound

This paper cites Training-free structured diffusion guidance for compositional text-to-image synthesis, 2023.

Diffusion Models with Adaptive Negative Sampling Without External Resources Training-free structured diffusion guidance for compositional text-to-image synthesis, 2023

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T04:52:32.149151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4902864-c828-49cc-ae43-c2eb9bcd394e · outbound

This paper cites Expressive text-to-image generation with rich text.

Diffusion Models with Adaptive Negative Sampling Without External Resources Expressive text-to-image generation with rich text

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:38.012556Z

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.

Observation 503b970d-5cbe-4c85-af26-a55332363e58 · outbound

This paper cites Clipscore: A reference-free evaluation met- ric for image captioning, 2022.

Diffusion Models with Adaptive Negative Sampling Without External Resources Clipscore: A reference-free evaluation met- ric for image captioning, 2022

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:37.819853Z

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.

Observation 591c779e-4760-4808-ab00-e39554ade386 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30, 2017.

Diffusion Models with Adaptive Negative Sampling Without External Resources Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30, 2017

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T04:52:32.411019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56b2d8c6-31ac-4400-9b7f-d30b65f78277 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Diffusion Models with Adaptive Negative Sampling Without External Resources Classifier-Free Diffusion Guidance

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T04:52:32.492418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d25a8f9f-e677-4f4b-9cd0-4190c44466cb · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Diffusion Models with Adaptive Negative Sampling Without External Resources Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T04:52:32.615529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e4502eb-32fc-4f01-8d03-f8dafccbbe7f · outbound

This paper cites Elucidating the design space of diffusion-based generative models, 2022.

Diffusion Models with Adaptive Negative Sampling Without External Resources Elucidating the design space of diffusion-based generative models, 2022

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:37.531472Z

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.

Observation 642c99e8-23cb-49c4-81f9-ed72025e4480 · outbound

This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.

Diffusion Models with Adaptive Negative Sampling Without External Resources Pick-a-pic: An open dataset of user preferences for text-to-image generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T04:52:32.796277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1af1344e-5b21-4dbe-8fa5-7f8d23ecb470 · outbound

This paper cites Multi-concept customization of text-to-image diffusion.

Diffusion Models with Adaptive Negative Sampling Without External Resources Multi-concept customization of text-to-image diffusion

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:37.363899Z

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.

Observation db369a41-c03c-48eb-b6f4-ec54f6dce4a6 · outbound

This paper cites Gligen: Open-set grounded text-to-image generation.

Diffusion Models with Adaptive Negative Sampling Without External Resources Gligen: Open-set grounded text-to-image generation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:37.195235Z

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.

Observation 79c43292-985f-43ec-8a0b-e665a013cc5b · outbound

This paper cites Compositional visual generation with composable diffusion models.

Diffusion Models with Adaptive Negative Sampling Without External Resources Compositional visual generation with composable diffusion models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:37.032231Z

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.

Observation deb1bed9-8d31-4439-b888-9fc379ce8d02 · outbound

This paper cites Grounded Text-to-Image Synthesis with Attention Refocusing.

Diffusion Models with Adaptive Negative Sampling Without External Resources Grounded Text-to-Image Synthesis with Attention Refocusing

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T04:52:33.142771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 611784f0-a768-4f7a-9e4a-88b81dd0cb64 · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023.

Diffusion Models with Adaptive Negative Sampling Without External Resources Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:36.827822Z

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.

Observation a6be1a63-2a7d-4d4b-ad6c-2a2e26fd5382 · outbound

This paper cites Zero-shot text-to-image generation.

Diffusion Models with Adaptive Negative Sampling Without External Resources Zero-shot text-to-image generation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:36.740198Z

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.

Observation 28542aa7-d271-4513-a09a-41da96310ada · outbound

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

Diffusion Models with Adaptive Negative Sampling Without External Resources Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T04:52:33.371018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e00bb6d5-8ddd-471d-a904-aedfb3f18836 · outbound

This paper cites Linguistic bind- ing in diffusion models: Enhancing attribute correspondence through attention map alignment, 2023.

Diffusion Models with Adaptive Negative Sampling Without External Resources Linguistic bind- ing in diffusion models: Enhancing attribute correspondence through attention map alignment, 2023

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:36.559145Z

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.

Observation 7bb9da86-31b6-4a7e-89a7-a218e210058e · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Diffusion Models with Adaptive Negative Sampling Without External Resources High-resolution image synthesis with latent diffusion models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T04:52:33.512523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 106ff50a-c801-4d9e-bf2b-6cc26d585996 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

Diffusion Models with Adaptive Negative Sampling Without External Resources Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:36.376329Z

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.

Observation f63d7b67-68fa-482f-94dd-a8bf95ad5c36 · outbound

This paper cites Berg, and Li Fei-Fei.

Diffusion Models with Adaptive Negative Sampling Without External Resources Berg, and Li Fei-Fei

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:36.200741Z

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.

Observation 9883a506-d069-488d-a287-313d46519eb2 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.Advances in Neural Information Processing Systems, 35:36479–36494, 2022.

Diffusion Models with Adaptive Negative Sampling Without External Resources Photorealistic text-to-image diffusion models with deep language understanding.Advances in Neural Information Processing Systems, 35:36479–36494, 2022

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:36.073934Z

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.

Observation f394791f-bf25-4ec7-9d5a-176c9d726655 · outbound

This paper cites Improved techniques for training gans, 2016.

Diffusion Models with Adaptive Negative Sampling Without External Resources Improved techniques for training gans, 2016

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:35.920278Z

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.

Observation 51acbde5-9501-4e86-9b6a-2e398527c3ed · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

Diffusion Models with Adaptive Negative Sampling Without External Resources Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:35.795602Z

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.

Observation 87bcda5c-04c1-4637-b5aa-332eac3425c3 · outbound

This paper cites Denoising Diffusion Implicit Models.

Diffusion Models with Adaptive Negative Sampling Without External Resources Denoising Diffusion Implicit Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T04:52:33.890126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 791a26fe-3dfc-4ccc-a42b-1a58030cd623 · outbound

This paper cites Generative modeling by esti- mating gradients of the data distribution.Advances in neural information processing systems, 32, 2019.

Diffusion Models with Adaptive Negative Sampling Without External Resources Generative modeling by esti- mating gradients of the data distribution.Advances in neural information processing systems, 32, 2019

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T04:52:33.976377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e81d45b0-77aa-40fe-bf9d-06011f2c318b · outbound

This paper cites Adapting diffusion models for improved prompt compliance and controllable image synthesis, 2024.

Diffusion Models with Adaptive Negative Sampling Without External Resources Adapting diffusion models for improved prompt compliance and controllable image synthesis, 2024

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:35.606202Z

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.

Observation eabad5de-4fe2-49a8-8d25-4ad884ccb70c · outbound

This paper cites Sketch-guided text-to-image diffusion models, 2022.

Diffusion Models with Adaptive Negative Sampling Without External Resources Sketch-guided text-to-image diffusion models, 2022

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:35.434415Z

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.

Observation e1ab6f44-99eb-4593-b13c-5eebbda6fd6a · outbound

This paper cites Bayesian learning via stochas- tic gradient langevin dynamics.

Diffusion Models with Adaptive Negative Sampling Without External Resources Bayesian learning via stochas- tic gradient langevin dynamics

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:35.285132Z

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.

Observation 6cb0804d-7cf3-43c7-b50c-e4934bd6b9fd · outbound

This paper cites Human preference score v2: A solid benchmark for evaluating human preferences of text-to-image synthesis, 2023.

Diffusion Models with Adaptive Negative Sampling Without External Resources Human preference score v2: A solid benchmark for evaluating human preferences of text-to-image synthesis, 2023

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T04:52:34.243625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a339e04-e8bf-4055-9748-7b27c9ffa1e1 · outbound

This paper cites Imagereward: learning and evaluating human preferences for text-to-image generation.

Diffusion Models with Adaptive Negative Sampling Without External Resources Imagereward: learning and evaluating human preferences for text-to-image generation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:35.136008Z

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.

Observation e2f4a43b-4408-47af-b354-25df8bb3f732 · outbound

This paper cites Scaling autoregressive models for content-rich text-to-image generation, 2022.

Diffusion Models with Adaptive Negative Sampling Without External Resources Scaling autoregressive models for content-rich text-to-image generation, 2022

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:35.032972Z

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.

Observation a516c474-3196-453c-b862-bd5281593fdf · outbound

This paper cites Adding conditional control to text-to-image diffusion models, 2023.

Diffusion Models with Adaptive Negative Sampling Without External Resources Adding conditional control to text-to-image diffusion models, 2023

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:34.884202Z

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.

Observation 42a94cbb-7c30-40eb-9c21-b40dd916cc58 · outbound

This paper cites Layoutdiffusion: Controllable diffu- sion model for layout-to-image generation.

Diffusion Models with Adaptive Negative Sampling Without External Resources Layoutdiffusion: Controllable diffu- sion model for layout-to-image generation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:52:34.736182Z

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.

Pith citing papers

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