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Paper Citation Record · LEDGER

Gradient-Free Noise Optimization for Reward Alignment in Generative Models

As of 5 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2605.11347.

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

pith.paper-citation-record.v1
2605.11347 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-14T21:37:15.137190Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

41 of 41 outbound references displayed

  • verified exact6
  • verified fuzzy33
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 68388e6b-12aa-4004-8b9e-9a6485ac5be9 · outbound

This paper cites Training diffusion models with reinforcement learning.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Training diffusion models with reinforcement learning

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 41ee14ff-fa10-4f2d-b60a-2b9d28f3ba9f · outbound

This paper cites Diffusion posterior sampling for general noisy inverse problems.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Diffusion posterior sampling for general noisy inverse problems

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation d923713e-f66b-45df-b069-75fa8248a34d · outbound

This paper cites an unresolved cited work.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4192f850-657c-4f5e-82cd-1cb7296c448f · outbound

This paper cites Dauparas, I.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Dauparas, I

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T21:37:15.137190Z digest=sha256:feccdcd029bfa8470ba92d50db4b5b6da6545ded157ef753a4ce8f6a9a463cd4

Observation a2a5ef4c-4b72-4463-93d1-840018822a74 · outbound

This paper cites ReNO: Enhancing one-step text-to-image models through reward-based noise optimization.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models ReNO: Enhancing one-step text-to-image models through reward-based noise optimization

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.268156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 7d721929-f23c-4179-8230-d0dde8b0b6eb · outbound

This paper cites The vendi score: A diversity evaluation metric for machine learning.Transactions on Machine Learning Research.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models The vendi score: A diversity evaluation metric for machine learning.Transactions on Machine Learning Research

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 5b8f381c-4d02-4ab4-b134-2784fb4a3344 · outbound

This paper cites Mean Flows for One-step Generative Modeling.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Mean Flows for One-step Generative Modeling

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation e634c8d3-e720-4247-882a-70f426261f06 · outbound

This paper cites Geneval: An object-focused framework for evaluating text-to-image alignment.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Geneval: An object-focused framework for evaluating text-to-image alignment

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 2a3c38ee-1299-479e-abe2-1ade77024040 · outbound

This paper cites Symbolic music generation with non-differentiable rule guided diffusion.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Symbolic music generation with non-differentiable rule guided diffusion

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation fc4621e4-8698-437b-b048-ca41ace94fda · outbound

This paper cites Diffusion fine-tuning via reparameterized policy gradient of the soft q-function.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Diffusion fine-tuning via reparameterized policy gradient of the soft q-function

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 65add354-4af4-48cc-8728-30c6bd6c42be · outbound

This paper cites an unresolved cited work.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Unresolved cited work

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 44903a18-fcb9-416a-bd1f-4b909dd393da · outbound

This paper cites Diverse text-to-image generation via contrastive noise optimization.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Diverse text-to-image generation via contrastive noise optimization

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:38:00.010231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation cef74276-1fb4-47f0-badc-55bff0442ce7 · outbound

This paper cites Free2guide: Training-free text-to-video alignment using image lvlm.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Free2guide: Training-free text-to-video alignment using image lvlm

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.301175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 6f54306a-a654-4221-bdac-dc30cc4a5e24 · outbound

This paper cites Test-time alignment of diffusion models without reward over-optimization.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Test-time alignment of diffusion models without reward over-optimization

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.256411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation a63cfbae-f52f-4d2e-9bba-fdbfabb288f8 · outbound

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

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Pick-a-pic: An open dataset of user preferences for text-to-image generation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.262833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 84d692cd-1caa-4127-9b46-48947942476c · outbound

This paper cites PCPO: Proportionate credit policy optimization for preference alignment of image generation models.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models PCPO: Proportionate credit policy optimization for preference alignment of image generation models

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 14c65b95-bdf1-450c-b68e-0b71dbf53ceb · outbound

This paper cites Evolutionary-scale prediction of atomic- level protein structure with a language model.Science, 379(6637):1123–1130.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Evolutionary-scale prediction of atomic- level protein structure with a language model.Science, 379(6637):1123–1130

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.265471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 5d32e8bb-aef9-4d49-a4a4-65f52a0bf005 · outbound

This paper cites Flow-GRPO: Training flow matching models via online RL.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Flow-GRPO: Training flow matching models via online RL

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.303583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 0a5d3cf3-49ba-48b3-941f-de60022374ff · outbound

This paper cites Xiao, Carles Domingo-Enrich, Weiyang Liu, and Dinghuai Zhang.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Xiao, Carles Domingo-Enrich, Weiyang Liu, and Dinghuai Zhang

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.243119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 03ca1f66-ffce-4e76-9518-b7e75a6e8d3c · outbound

This paper cites Xiao, Weiyang Liu, Yoshua Bengio, and Dinghuai Zhang.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Xiao, Weiyang Liu, Yoshua Bengio, and Dinghuai Zhang

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.241026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation cfe8d774-84eb-474f-a8c4-dfb3ce955c03 · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-14T21:38:00.014367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation d8dc58bd-7836-47b6-9b68-bd5fcf989771 · outbound

This paper cites ORIGEN: Zero-shot 3d orientation grounding in text-to-image generation.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models ORIGEN: Zero-shot 3d orientation grounding in text-to-image generation

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.234120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation faf7a625-b60e-4557-b57e-f293e66efd58 · outbound

This paper cites Stochastic differential equations.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Stochastic differential equations

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.229446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 1e6f7c55-ab0e-4d1a-bf7c-4b9d9674ca0d · outbound

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

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Fast high-resolution image synthesis with latent adversarial diffusion distillation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.238674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation b8179d92-7a19-4d84-beac-d68554600a5d · outbound

This paper cites Adversarial diffusion distillation.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Adversarial diffusion distillation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.226755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 27bd5cf2-08d2-403c-9871-6c606ff7c14d · outbound

This paper cites Improved aesthetic predictor.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Improved aesthetic predictor

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.221662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T21:37:15.137190Z digest=sha256:bb59b1fb5a394a1e51cb2d57bfbb272d37f3f19be00846dff4c2468d6a8fd00d

Observation 725401ce-944d-44d0-84e2-240311a650ab · outbound

This paper cites Consistency Models.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Consistency Models

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-05-14T21:38:00.018346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation b26b53eb-7c91-44bf-8412-a46032f348f9 · outbound

This paper cites Df-gan: A simple and effective baseline for text-to-image synthesis.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Df-gan: A simple and effective baseline for text-to-image synthesis

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.224168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T21:37:15.137190Z digest=sha256:59a5769986480653e4417c11044baec81251668c02cf8fc4eded6b1c88b91940

Observation 985b9a84-1111-4bc1-82cc-2a3ed89bb488 · outbound

This paper cites Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:38:00.006116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T21:37:15.137190Z digest=sha256:13ab07a315cdfe46efe799ac2287e6465617dbd01e53f8e40ce7320c94b6a917

Observation 0a46762f-9e6e-480b-88d8-c5a376dfb142 · outbound

This paper cites Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:38:00.027566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 3c163629-acb1-41ba-9cc6-eb14f2f5bd4c · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models The caltech-ucsd birds-200-2011 dataset

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.246099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T21:37:15.137190Z digest=sha256:720ac4c9c8692e15a62ce19d394d84004cc684713e40e8a8ee6a83e2fe456695

Observation 0bd18410-0674-4938-9903-42ce1a6a5c10 · outbound

This paper cites Natural evolution strategies.Journal of Machine Learning Research, 15(27):949–980.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Natural evolution strategies.Journal of Machine Learning Research, 15(27):949–980

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.248568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T21:37:15.137190Z digest=sha256:e2dd8a00a717fa48ba08cd2ed3699054caf7fc3a52d98ff6c2a1c48e3af64cc6

Observation 5406d25f-3639-4fc8-8f7a-e85b3ff14bee · outbound

This paper cites Rieman- nian meanflow.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Rieman- nian meanflow

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.231685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T21:37:15.137190Z digest=sha256:392b7cf62d40e644656e3f3f8ee37b98b17867cc78768ae471cfd9732c7899fb

Observation 26e25d5b-0671-4267-a390-e35251e773d7 · outbound

This paper cites Improved distribution matching distillation for fast image synthesis.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Improved distribution matching distillation for fast image synthesis

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.236325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T21:37:15.137190Z digest=sha256:ac4261f64f159d1432e7f3dcf9cf09c3965f0cefc1fb545f200a809e46ab746c

Observation b4ab1690-a54a-4e3c-91ee-bdb9424daa2c · outbound

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

Gradient-Free Noise Optimization for Reward Alignment in Generative Models One-step diffusion with distribution matching distillation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.253755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T21:37:15.137190Z digest=sha256:c64af7cd4f960f59a481d75176fccb9cad897d228b96b418bf733f2f5ce238c0

Observation 6058a6b4-2295-4992-964b-f0b66f1dcd1e · outbound

This paper cites $\psi$-sampler: Initial particle sampling for SMC-based inference-time reward alignment in score models.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models $\psi$-sampler: Initial particle sampling for SMC-based inference-time reward alignment in score models

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.292332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T21:37:15.137190Z digest=sha256:04d87a8d2291e2286851e513e876a8dec918f54643c533bcdeefccb26a78de89

Observation 9c8b9a40-dbb8-4c87-9f47-76c48a255c6d · outbound

This paper cites A teddy bear wearing holding a whiteboard.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models A teddy bear wearing holding a whiteboard

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.294593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T21:37:15.137190Z digest=sha256:9d5797ebd783da6acd0786fb48e5ad04dcc04914dff3d7e8ff270a79c8fe60e0

Observation e8bbeb9a-b8a7-47a0-9fde-ecba6d3835bc · outbound

This paper cites A beautifully decorated birthday cake with smooth blue icing, the letters.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models A beautifully decorated birthday cake with smooth blue icing, the letters

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.296642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T21:37:15.137190Z digest=sha256:352e0662eb29ef310297f52a9aa11dc12e8dc491088bf2a3910cea18be81f946

Observation 81a65943-d43c-44a3-b970-f16ad2b14e42 · outbound

This paper cites Studio shot of intricate shoe sculptures crafted from vibrant colored wires, with the text.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models Studio shot of intricate shoe sculptures crafted from vibrant colored wires, with the text

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.298789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T21:37:15.137190Z digest=sha256:3d798f8db624ff50083088277933067d2d3fc0cb332c33883d76514ce2a6bea6

Observation d80dac32-0ad9-4d0b-b8d8-1f232dbb4779 · outbound

This paper cites A campfire in a dense forest, with smoke curling upwards and forming the words.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models A campfire in a dense forest, with smoke curling upwards and forming the words

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.306559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T21:37:15.137190Z digest=sha256:701367c59cdd53424c3e356daa749126c21844b279f6ead385a61a4061b095aa

Observation 1b47762c-f4d8-44f0-8860-c03ef538dadc · outbound

This paper cites An astronaut proudly displays the.

Gradient-Free Noise Optimization for Reward Alignment in Generative Models An astronaut proudly displays the

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T21:38:01.287042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T21:37:15.137190Z digest=sha256:daa10a11f8441fc8666ab29f4b1da9d3c9db3b525934fef1a0fcec812e792847

Pith citing papers

No inbound Pith citation observations are available.