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Paper Citation Record · LEDGER

Scaling Group Inference for Diverse and High-Quality Generation

As of 22 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 6 inbound Pith citation observations for arXiv:2508.15773.

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

pith.paper-citation-record.v1
2508.15773 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:49:39.391815Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:33:07.790707Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:29:52.093437Z

Reference resolution

54 of 54 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved35
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 71cc8e41-c605-4480-8d63-f5627528c7ff · outbound

This paper cites Classifier-free diffusion guidance.

Scaling Group Inference for Diverse and High-Quality Generation Classifier-free diffusion guidance

Reference 1

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Observation e2ec5621-9b8a-404a-8296-a51d5cd5c732 · outbound

This paper cites Inference-time scaling for diffusion models beyond scaling denoising steps.

Scaling Group Inference for Diverse and High-Quality Generation Inference-time scaling for diffusion models beyond scaling denoising steps

Reference 2

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raw_fallback, observed 2026-08-05T17:49:43.777943Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 05302eb2-f95f-4975-852a-80bb8344ee23 · outbound

This paper cites Zero-shot image-to-image translation.

Scaling Group Inference for Diverse and High-Quality Generation Zero-shot image-to-image translation

Reference 3

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 35641d02-d740-4652-93d6-1874af48eadb · outbound

This paper cites Midjourney Website.�������������������������������, 2024.

Scaling Group Inference for Diverse and High-Quality Generation Midjourney Website.�������������������������������, 2024

Reference 4

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T17:49:35.126969Z digest=sha256:fdb8cf870ad693383e4aa106c272bd8f8fcf0de9fa5ecf820e08e368f3e80899

Observation 3e27c88c-67c4-4183-9c32-303ab34e711c · outbound

This paper cites Adobe Firefly: Generative AI for Creatives.��������������������������������������� ����, 2025.

Scaling Group Inference for Diverse and High-Quality Generation Adobe Firefly: Generative AI for Creatives.��������������������������������������� ����, 2025

Reference 5

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T17:49:35.220139Z digest=sha256:2661bac886d79fa3e2a0005ef58664f8316ba5a8ca7f3e370529636f6d9b65b4

Observation 580db73d-bbc2-4dc9-aeeb-637eab08c041 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Scaling Group Inference for Diverse and High-Quality Generation Deep unsupervised learning using nonequilibrium thermodynamics

Reference 6

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source=pdf_text observed=2026-08-05T17:49:35.280568Z digest=sha256:70de238dc92a43f255d4475deb9b8305efb92394be9f42aedaf53e496affe65b

Observation a4745e9b-448a-4bc3-9eda-7964b8e3eed9 · outbound

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

Scaling Group Inference for Diverse and High-Quality Generation Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 7

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source=pdf_text observed=2026-08-05T17:49:35.357285Z digest=sha256:81593a043c1757216769fc8b3171897219fae363ad9a9319f58248d2eb9ae3a7

Observation b28ef2dc-13e6-4d29-8132-9c6843641fd8 · outbound

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

Scaling Group Inference for Diverse and High-Quality Generation Score-Based Generative Modeling through Stochastic Differential Equations

Reference 8

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source=pdf_text observed=2026-08-05T17:49:35.422508Z digest=sha256:8015d358f6cb63495c40cbd95278afb32f0334099eb8892da9ab3b2c212db1bb

Observation 0221cf15-5a43-4b85-bd6d-f5073463f36a · outbound

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

Scaling Group Inference for Diverse and High-Quality Generation High-resolution image synthesis with latent diffusion models

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T17:49:35.486646Z digest=sha256:40f80b512c29ba263c0d7edf76f6123fb5ffbe2c6f7d50b3044093a649e94c59

Observation 7e23e2aa-6882-499f-843b-27e7545e6506 · outbound

This paper cites SDXL: Improving latent diffusion models for high-resolution image synthesis.

Scaling Group Inference for Diverse and High-Quality Generation SDXL: Improving latent diffusion models for high-resolution image synthesis

Reference 10

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source=pdf_text observed=2026-08-05T17:49:35.581974Z digest=sha256:9261da2f6d7c467c0a3730a6744521b591bc04eb2949a9631e79ada83b90e80b

Observation bd9a1bc9-8795-4fda-8de6-c8d0839ea388 · outbound

This paper cites Photorealistic text-to- image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022.

Scaling Group Inference for Diverse and High-Quality Generation Photorealistic text-to- image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022

Reference 11

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source=pdf_text observed=2026-08-05T17:49:35.687410Z digest=sha256:55d5bab4d3497bfd0987d8257a346c98414bac3d0d036fec55b8514d001d1649

Observation d5b0dfd0-f2c4-4ba0-b038-cabb4af50f6f · outbound

This paper cites Video diffusion models.Advances in Neural Information Processing Systems, 35:8633–8646, 2022.

Scaling Group Inference for Diverse and High-Quality Generation Video diffusion models.Advances in Neural Information Processing Systems, 35:8633–8646, 2022

Reference 12

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source=pdf_text observed=2026-08-05T17:49:35.770528Z digest=sha256:4592317457fa22b616d284c24173d0c437edef51f4738569759ff0788cea8578

Observation 494a0727-a8cb-44ce-9ccb-8b8f18506823 · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.

Scaling Group Inference for Diverse and High-Quality Generation Align your latents: High-resolution video synthesis with latent diffusion models

Reference 13

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source=pdf_text observed=2026-08-05T17:49:35.852953Z digest=sha256:af5b46c1f73a7ca95f1f84aad6b5f334bf14358585ba748fb122badb8759e1f0

Observation 196b4138-e959-40ce-adef-339b10fdb324 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Scaling Group Inference for Diverse and High-Quality Generation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 14

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source=pdf_text observed=2026-08-05T17:49:35.971319Z digest=sha256:78a5d8321474b3410192fe26b30c0ee6c100cf8c69ed5402d1a6a01be26d81d7

Observation e9c21503-122c-4019-83dd-772f88c5619a · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

Scaling Group Inference for Diverse and High-Quality Generation DreamFusion: Text-to-3D using 2D Diffusion

Reference 15

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source=pdf_text observed=2026-08-05T17:49:36.043578Z digest=sha256:8b38e44605f7c1c01417cd9e7aeeff96cc64cfd9793fbf345eb45a756e7dd4a4

Observation fa9e2f96-f1ba-4913-8acd-9678f50b3deb · outbound

This paper cites Magic3d: High-resolution text-to-3d content creation.

Scaling Group Inference for Diverse and High-Quality Generation Magic3d: High-resolution text-to-3d content creation

Reference 16

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source=pdf_text observed=2026-08-05T17:49:36.120950Z digest=sha256:f3e3e04ddc81c23672f888071f83117f4498944011f1d3f9e6bf557d3d7dee04

Observation 062b02fb-d01e-4c5f-a6a8-376cf5383fe2 · outbound

This paper cites MVDream: Multi-view Diffusion for 3D Generation.

Scaling Group Inference for Diverse and High-Quality Generation MVDream: Multi-view Diffusion for 3D Generation

Reference 17

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source=pdf_text observed=2026-08-05T17:49:36.176988Z digest=sha256:799ab844598ad2681f9a3132b45f919b1aaf2c2321337f9720d389025c7d1d48

Observation ea320d7a-7828-482c-8ec6-4503b8469de9 · outbound

This paper cites Consistency-diversity-realism Pareto fronts of conditional image generative models.

Scaling Group Inference for Diverse and High-Quality Generation Consistency-diversity-realism Pareto fronts of conditional image generative models

Reference 18

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Observation 43e1c1c9-ee14-47e9-9560-6c12648f05ed · outbound

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

Scaling Group Inference for Diverse and High-Quality Generation Adding conditional control to text-to-image diffusion models

Reference 19

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source=pdf_text observed=2026-08-05T17:49:36.340988Z digest=sha256:65b73412d0e195306627c559716157bce566e13e6ecd39c36abaa6b566aa9942

Observation ea2c7764-c5ea-4639-b934-bfcabe010ff1 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

Scaling Group Inference for Diverse and High-Quality Generation IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 20

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Observation f9e641bd-7bef-47df-a53d-45fb979b48b1 · outbound

This paper cites Fast high-resolution image synthesis with latent adversarial diffusion distillation.

Scaling Group Inference for Diverse and High-Quality Generation Fast high-resolution image synthesis with latent adversarial diffusion distillation

Reference 21

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source=pdf_text observed=2026-08-05T17:49:36.483450Z digest=sha256:f20bb4ab45cd5de80b0e57156d15e2a892d99fd4386e57220402dc92ab27bcc3

Observation 397eb27b-fe96-4b44-b269-c745196a91c1 · outbound

This paper cites Adversarial diffusion distillation.

Scaling Group Inference for Diverse and High-Quality Generation Adversarial diffusion distillation

Reference 22

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raw_fallback, observed 2026-08-05T17:49:42.727144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T17:49:36.571220Z digest=sha256:ba6e512f4a6c5a9166605717796f58d430f3ad721e0205f879c1781140d088dc

Observation fb3f2530-2a7b-4e1e-9678-85d02883a605 · outbound

This paper cites Distilling diffusion models into conditional gans.

Scaling Group Inference for Diverse and High-Quality Generation Distilling diffusion models into conditional gans

Reference 23

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raw_fallback, observed 2026-08-05T17:49:42.568766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ef97ed6d-5bdb-47d3-95bd-4e35b19c9db2 · outbound

This paper cites One-step diffusion with distribution matching distillation.

Scaling Group Inference for Diverse and High-Quality Generation One-step diffusion with distribution matching distillation

Reference 24

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source=pdf_text observed=2026-08-05T17:49:36.733999Z digest=sha256:97844dd9d02cfa39ec004d64140c3adcc7862042da757b1f00533cd8b6559c81

Observation c7e1a709-9383-4523-b7f8-473fb30b85d3 · outbound

This paper cites Diffusion models beat GANs on image synthesis.

Scaling Group Inference for Diverse and High-Quality Generation Diffusion models beat GANs on image synthesis

Reference 25

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T17:49:36.830780Z digest=sha256:5fc5470b4fcd57b56476913eb01b5ff5d81f46c062c067d869be17aae477900c

Observation 0dc992a2-39ce-444b-8b64-fe2f1b157586 · outbound

This paper cites Training-free layout control with cross-attention guidance.

Scaling Group Inference for Diverse and High-Quality Generation Training-free layout control with cross-attention guidance

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T17:49:36.907899Z digest=sha256:d1933c0cd0c8ddd7397e8a28848a0348bda57d07daa2e47c2e4d1f0e09361bf6

Observation 5600c090-cf93-45d7-b652-26dc372cb21a · outbound

This paper cites Dense text-to-image generation with attention modulation.

Scaling Group Inference for Diverse and High-Quality Generation Dense text-to-image generation with attention modulation

Reference 27

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raw_fallback, observed 2026-08-05T17:49:41.996830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T17:49:36.979489Z digest=sha256:57368608ac9f1b6f5e14d16686a9a3d0e9262b207ff4685207b4bdf20d5126c6

Observation b4e92062-8f3d-4144-8660-2b5fa3703351 · outbound

This paper cites Grounded text-to-image synthesis with attention refocusing.

Scaling Group Inference for Diverse and High-Quality Generation Grounded text-to-image synthesis with attention refocusing

Reference 28

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raw_fallback, observed 2026-08-05T17:49:41.823252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T17:49:37.054736Z digest=sha256:9f8ad389f4336c85484e02cc3db9b25cf6127a1a7531f1f6a06b78403b182b17

Observation 2b5737ae-711b-41bc-8fdc-566dadc16ed7 · outbound

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

Scaling Group Inference for Diverse and High-Quality Generation Sketch-guided text-to-image diffusion models

Reference 29

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raw_fallback, observed 2026-08-05T17:49:41.626052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T17:49:37.111820Z digest=sha256:bce7f90d2fd8e4295b79efd80a35ce4a382192906fe76605632af8943b4830b5

Observation e91ede85-e4dd-4d04-a9c6-f0983d607e4e · outbound

This paper cites Localized Text-to-Image Generation for Free via Cross Attention Control.

Scaling Group Inference for Diverse and High-Quality Generation Localized Text-to-Image Generation for Free via Cross Attention Control

Reference 30

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source=pdf_text observed=2026-08-05T17:49:37.205595Z digest=sha256:7b382c8546f1fbdfa588f072649ac106f281f6b8c3be1e6757861e571ae5a1c2

Observation c297594c-4cd5-48fe-9eb1-f7d9997b328e · outbound

This paper cites Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models.

Scaling Group Inference for Diverse and High-Quality Generation Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models

Reference 31

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source=pdf_text observed=2026-08-05T17:49:37.293865Z digest=sha256:39dece4145bd6ff20c9b1ace3114f753bbdfbcfd015d5fddf8c54156c5d070f5

Observation 090c6d01-008c-457c-9b21-3d63fb7d745d · outbound

This paper cites Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models.

Scaling Group Inference for Diverse and High-Quality Generation Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models

Reference 32

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source=pdf_text observed=2026-08-05T17:49:37.372051Z digest=sha256:41992cc585fd7f47b60be1db845e5041912779a958e80fe7aea34e1305501af3

Observation c0acdbbc-478c-4c43-87c2-62da16440807 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022.

Scaling Group Inference for Diverse and High-Quality Generation Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022

Reference 33

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source=pdf_text observed=2026-08-05T17:49:37.447147Z digest=sha256:f9bf4097fe35e752bc1ffe05733d15dd8826280856bf2fae21cf5ee44e3808bf

Observation cfebaea6-5461-40f5-800f-9c1d93aa90a9 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Scaling Group Inference for Diverse and High-Quality Generation Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 34

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source=pdf_text observed=2026-08-05T17:49:37.510024Z digest=sha256:7bf04374870541c37e3596460c7d1ccf79587562966c4f776ffbdb6e6e137894

Observation f9513086-4bc7-4c1a-ab43-80498656a556 · outbound

This paper cites s1: Simple test-time scaling.

Scaling Group Inference for Diverse and High-Quality Generation s1: Simple test-time scaling

Reference 35

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source=pdf_text observed=2026-08-05T17:49:37.571540Z digest=sha256:85806c3e4b0cafad1b49e1c936b082fb88fcbb6762000428d369bbfd1bef75f7

Observation 52f20cec-44bd-4e26-bcd3-410e41de233f · outbound

This paper cites Svdqunat: Absorbing outliers by low-rank components for 4-bit diffusion models.arXiv preprint arXiv:2411.05007, 2024.

Scaling Group Inference for Diverse and High-Quality Generation Svdqunat: Absorbing outliers by low-rank components for 4-bit diffusion models.arXiv preprint arXiv:2411.05007, 2024

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:49:37.639866Z digest=sha256:6ffcb3f252859547b136b29f10eb630d1d91afc283c889292a0df98bc02ad453

Observation 2c02abea-8d6e-41fb-97fa-24c6a4b5aced · outbound

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

Scaling Group Inference for Diverse and High-Quality Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 37

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no resolver link, observed 2026-08-05T17:49:37.735986Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:49:37.735986Z digest=sha256:c50b3c8144712c8696ef7049027a0ea426e153b62bc7e6af74f1c90a018beac0

Observation ebf60d77-44a6-4b5c-b052-c1d368f7012c · outbound

This paper cites Dinov2: Learning robust visual features without supervision.Transactions on Machine Learning Research, 2023.

Scaling Group Inference for Diverse and High-Quality Generation Dinov2: Learning robust visual features without supervision.Transactions on Machine Learning Research, 2023

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-05T17:49:41.428151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T17:49:37.830298Z digest=sha256:5056b641424416d9e698035952d06883fc8641adaf777997475a243c3062d88b

Observation a1f3e294-1bf0-4dd7-a412-8ca7c1830eb9 · outbound

This paper cites Gurobi Optimizer Reference Manual, 2025.

Scaling Group Inference for Diverse and High-Quality Generation Gurobi Optimizer Reference Manual, 2025

Reference 39

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no resolver link, observed 2026-08-05T17:49:37.915693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:49:37.915693Z digest=sha256:18e615dd5d8a6d12c238b272f7f079223ae5d61b89ebe1dd9aff0b43881ccf01

Observation 88ef8c59-6364-41a1-ad6f-1ecd6c9a6340 · outbound

This paper cites Flux.�����������������������������������������, 2024.

Scaling Group Inference for Diverse and High-Quality Generation Flux.�����������������������������������������, 2024

Reference 40

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raw_fallback, observed 2026-08-05T17:49:41.219070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T17:49:37.989299Z digest=sha256:2775e5a7a90446575ce142dbd9b47af4df8ffc040f4f46e9fa631ea4e43123d5

Observation 1744443e-73b8-4863-ad7f-ea4c36cad84c · outbound

This paper cites Geneval: An object-focused framework for evaluating text-to-image alignment.Advances in Neural Information Processing Systems, 36:52132–52152, 2023.

Scaling Group Inference for Diverse and High-Quality Generation Geneval: An object-focused framework for evaluating text-to-image alignment.Advances in Neural Information Processing Systems, 36:52132–52152, 2023

Reference 41

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no resolver link, observed 2026-08-05T17:49:38.091341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:49:38.091341Z digest=sha256:80611139dc4a606cd8e122f8b08960b9f5787cfeced91c050e9dd6c4f0c22ebf

Observation 94d29e2e-a75c-47ab-8829-48a6107ede8c · outbound

This paper cites Microsoft coco: Common objects in context.

Scaling Group Inference for Diverse and High-Quality Generation Microsoft coco: Common objects in context

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:49:41.001500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T17:49:38.185351Z digest=sha256:b90116671df8fa106af40f891b69af3c22fbd07ec05fc7f9aed5bb90888defa8

Observation ad35f037-ba54-47d1-ac6b-b6fc4f07e76d · outbound

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

Scaling Group Inference for Diverse and High-Quality Generation Dream- booth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 43

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no resolver link, observed 2026-08-05T17:49:38.269195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:49:38.269195Z digest=sha256:7969c5081f5a051b7c29bec5b4a936617f4bf3dce4e2186aa5cb1f99cfd93061

Observation 0f305966-7999-41b8-b4b5-3a21904f7e77 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

Scaling Group Inference for Diverse and High-Quality Generation Depth anything: Unleashing the power of large-scale unlabeled data

Reference 44

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no resolver link, observed 2026-08-05T17:49:38.341613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:49:38.341613Z digest=sha256:820034347d83096ff866638994b75f5bbc4d533dbcad69307e6a6e7a1b9c7a79

Observation efb0d809-3724-4b46-9403-0863863bcf45 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

Scaling Group Inference for Diverse and High-Quality Generation Scaling rectified flow transformers for high-resolution image synthesis

Reference 45

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no resolver link, observed 2026-08-05T17:49:38.461441Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T17:49:38.461441Z digest=sha256:aa7a459b202e24fef6f8a7ad3886dd0552700241f4da865423dd92fcbfb0c50c

Observation e3aa717f-e0ff-4ba3-90c8-30e8ec5dcdf6 · outbound

This paper cites Generating multi-image synthetic data for text-to-image customization.ArXiv, 2025.

Scaling Group Inference for Diverse and High-Quality Generation Generating multi-image synthetic data for text-to-image customization.ArXiv, 2025

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:49:40.769990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T17:49:38.554684Z digest=sha256:8936a5d0504908dc73cd1230282c3c395ba2a9c95105dd1a63c8987532486b42

Observation f7bd4964-7a07-466b-becb-56782218e1c3 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Scaling Group Inference for Diverse and High-Quality Generation Learning transferable visual models from natural language supervision

Reference 47

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no resolver link, observed 2026-08-05T17:49:38.645776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:49:38.645776Z digest=sha256:decae042cb6722eab98fac288532f0c5da7ddaae4390e9cf673a0ab1aaa308b0

Observation 9587fea7-af73-4dfa-acbe-e1d2574de517 · outbound

This paper cites Toward multimodal image-to-image translation.Conference on Neural Information Processing Systems (NeurIPS), 30, 2017.

Scaling Group Inference for Diverse and High-Quality Generation Toward multimodal image-to-image translation.Conference on Neural Information Processing Systems (NeurIPS), 30, 2017

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-05T17:49:40.589116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T17:49:38.743340Z digest=sha256:a52c216879bd79e1fca81590cd06971adebaf8f923e9ae74c973a2eed8924a72

Observation fa6ca9e2-7884-4502-9861-6f3dd9129eec · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

Scaling Group Inference for Diverse and High-Quality Generation Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-05T17:49:38.859683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:49:38.859683Z digest=sha256:fe0c2f09d1729d552621bcc9e93621a9862bedb17adc7665a369c100ec56b331

Observation 316c5eb1-010e-414b-8b82-07c65d0851d0 · outbound

This paper cites Tiny autoencoder for stable diffusion.Retrieved May, 22:2024, 2023.

Scaling Group Inference for Diverse and High-Quality Generation Tiny autoencoder for stable diffusion.Retrieved May, 22:2024, 2023

Reference 50

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verified fuzzy
raw_fallback, observed 2026-08-05T17:49:40.426463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T17:49:38.999059Z digest=sha256:ba072054a10feef2e60b954cd9d7a5395b24f6c225fd42304da9c1043b75b51c

Observation 87565289-1616-4a1f-abb7-c760c0ad63f1 · outbound

This paper cites Imagereward: Learning and evaluating human preferences for text-to-image generation.Advances in Neural Information Processing Systems, 36:15903–15935, 2023.

Scaling Group Inference for Diverse and High-Quality Generation Imagereward: Learning and evaluating human preferences for text-to-image generation.Advances in Neural Information Processing Systems, 36:15903–15935, 2023

Reference 51

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unresolved
no resolver link, observed 2026-08-05T17:49:39.108545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:49:39.108545Z digest=sha256:1b6a4f6b490eb50697572d40e3736df0ba91b499c2e27df1565a2dbf3f940d6e

Observation acbbc3f6-2df3-44f5-864e-05f55c569b9c · outbound

This paper cites Depth anything v2.Advances in Neural Information Processing Systems, 37:21875–21911, 2024.

Scaling Group Inference for Diverse and High-Quality Generation Depth anything v2.Advances in Neural Information Processing Systems, 37:21875–21911, 2024

Reference 52

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no resolver link, observed 2026-08-05T17:49:39.193447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:49:39.193447Z digest=sha256:6e4e0417564a07613402e9a0092d96de599ae715cd90197faa614aa79bb06773

Observation e34868b6-d545-471d-a9bd-a446b500e47f · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

Scaling Group Inference for Diverse and High-Quality Generation Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:49:40.215726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T17:49:39.284461Z digest=sha256:3ca84ce05f948df7cb3bbaf4a15f8c8e5f5caab0ff74caae95f18f988f13042a

Observation a60e2eb9-e348-41cb-b975-b4240f14714c · outbound

This paper cites an unresolved cited work.

Scaling Group Inference for Diverse and High-Quality Generation Unresolved cited work

Reference 200

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unresolved
raw_fallback, observed 2026-08-05T17:49:40.058841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T17:49:39.391815Z digest=sha256:eb25798b08725c6625baf3a5f69cd64b98c2bbd4154e754a04445c9cb3c7fee7

Pith citing papers

Observation 819e4c7c-4fcd-4ec1-9619-168e0f7736e6 · inbound

It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models cites this paper.

It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models Scaling Group Inference for Diverse and High-Quality Generation

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-16T17:53:11.703309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T17:51:32.439732Z digest=sha256:8a5815252d463052c6c933b4659a1a142d77cb729b99e73aba7d9f656a81c022

Observation 7e097c74-db0e-4654-b9a6-d80941db227e · inbound

STRIDE: Training-Free Diversity Guidance via PCA-Directed Feature Perturbation in Single-Step Diffusion Models cites this paper.

STRIDE: Training-Free Diversity Guidance via PCA-Directed Feature Perturbation in Single-Step Diffusion Models Scaling Group Inference for Diverse and High-Quality Generation

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T02:57:09.252632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T02:53:35.519419Z digest=sha256:d5d917b33db74d49d218054e29032cdc2d9a99755addf936607a2ae53b519742

Observation c7078997-e7aa-4f5a-b6e1-3ac78abe01b4 · inbound

Composing People Together: Iterative Pose-Image Generation for Multi-Person Interaction Scenes cites this paper.

Composing People Together: Iterative Pose-Image Generation for Multi-Person Interaction Scenes Scaling Group Inference for Diverse and High-Quality Generation

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:10:22.295892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-25T05:07:14.227821Z digest=sha256:d27eb90d648ffa3b8bad37ed036aaf4e8f5abf68d9db7157390bacda6203fe48

Observation 58558ae5-9f49-4476-853c-02de4776277a · inbound

Semantic Browsing: Controllable Diversity for Image Generation cites this paper.

Semantic Browsing: Controllable Diversity for Image Generation Scaling Group Inference for Diverse and High-Quality Generation

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:09:45.488529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-26T09:03:48.337833Z digest=sha256:33771e0d67cb9e01002bd443ba08aca164d458f392dac08159e815f6c0f1a14c

Observation f567193d-89f0-42ec-b010-3959d2b59292 · inbound

Don't Settle at the Mode! Mitigating Diversity Collapse in Pretrained Flow Models via Feature Self-Guidance cites this paper.

Don't Settle at the Mode! Mitigating Diversity Collapse in Pretrained Flow Models via Feature Self-Guidance Scaling Group Inference for Diverse and High-Quality Generation

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:29:52.094775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T05:07:59.556667Z digest=sha256:f4ceb0244ad594ba64d6ddc5979e6239f1c8730750bc0362e0a99e46adca3297

Observation 39254490-d99e-4930-bce1-d10cf948f7a4 · inbound

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling cites this paper.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling Scaling Group Inference for Diverse and High-Quality Generation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-31T23:33:07.790707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:07.790707Z digest=sha256:9948cbfc76d00c8f0919a24c71be32ad1074da763ca28d45ed61dfb52640868d