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Paper Citation Record · LEDGER

DiffusionNFT: Online Diffusion Reinforcement with Forward Process

As of 5 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 79 inbound Pith citation observations for arXiv:2509.16117.

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

pith.paper-citation-record.v1
2509.16117 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T16:54:30.953199Z

measured 110 of 110 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 79 of 79 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:29:31.429673Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T19:50:11.382174Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact24
  • verified fuzzy5
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 139df65c-0428-47f3-8bd0-ccc5a605dcc9 · outbound

This paper cites GPT-4 Technical Report.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process GPT-4 Technical Report

Reference 1

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verified exact
local_arxiv, observed 2026-05-13T16:54:30.969512Z

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=2026-05-13T16:54:30.953199Z digest=sha256:355e4e0ff4bce0575dc097b4a27dfa45846df82d2a9ad21b450945ac1205f390

Observation 662b90d9-79ac-4858-a45e-eb2cba7e9998 · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process Training Diffusion Models with Reinforcement Learning

Reference 2

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verified exact
local_arxiv, observed 2026-05-13T16:54:30.972871Z

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=2026-05-13T16:54:30.953199Z digest=sha256:551745f429c8ed5ba726acc11213f2bbc5284c4f975f08f6770ee895e92740b3

Observation 829aedec-ad5e-46e9-96db-d3cd034adb58 · outbound

This paper cites Bridging supervised learning and reinforcement learning in math reasoning.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process Bridging supervised learning and reinforcement learning in math reasoning

Reference 3

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arxiv_id, observed 2026-05-13T16:54:30.976104Z

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=2026-05-13T16:54:30.953199Z digest=sha256:a3caea4665d8ec6f2ba93c1832f8416039cebff6f068de8db5b81045430f4fe0

Observation 9774b4c3-e85f-47cd-b82d-dc3513ba3fb7 · outbound

This paper cites Dpok: Reinforcement learning for fine-tuning text-to-image diffusion models.Advances in Neural Information Processing Systems, 36:79858–79885.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process Dpok: Reinforcement learning for fine-tuning text-to-image diffusion models.Advances in Neural Information Processing Systems, 36:79858–79885

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-13T16:54:31.045211Z

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=2026-05-13T16:54:30.953199Z digest=sha256:071e8f576358654cc886803ce95bfe75829005eb6db17a65709c85dc925ba11d

Observation e09793a3-be45-46dd-ab6f-0509b118ac7c · outbound

This paper cites Diffusion Guidance Is a Controllable Policy Improvement Operator.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process Diffusion Guidance Is a Controllable Policy Improvement Operator

Reference 5

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arxiv_id, observed 2026-05-13T16:54:30.998401Z

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=2026-05-13T16:54:30.953199Z digest=sha256:ae5f41f9bf31c90277cc521d35756a5883874c1c1acb4530f0bd6cb388dfc9ef

Observation 08f3f541-d2f6-4eca-ab02-ca8d6a3663ac · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-13T16:54:31.001557Z

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=2026-05-13T16:54:30.953199Z digest=sha256:e01fc836d53be99ad70f900dd3d89e76c9d001f877a85f0a69d6d34e3b60de21

Observation 0d4ecbe7-5b4f-485d-97d3-e24d947f4914 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 7

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local_arxiv, observed 2026-05-13T16:54:31.004646Z

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=2026-05-13T16:54:30.953199Z digest=sha256:ae069f940de23f57edd7f076e960ae472a324c573422499248189f16c57497a1

Observation 8ebfa2b7-940f-4a55-a70c-82fa718c2055 · outbound

This paper cites Classifier-Free Diffusion Guidance.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process Classifier-Free Diffusion Guidance

Reference 8

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local_arxiv, observed 2026-05-13T16:54:31.007319Z

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=2026-05-13T16:54:30.953199Z digest=sha256:3ab57e915689354a83aac9db0e9ed43ee01abadda7719901b7cf1090232ad4aa

Observation 6674a156-2fbb-43f2-9c5f-0341df19c5b6 · outbound

This paper cites Inference-Time Alignment Control for Diffusion Models with Reinforcement Learning Guidance.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process Inference-Time Alignment Control for Diffusion Models with Reinforcement Learning Guidance

Reference 9

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verified exact
arxiv_id, observed 2026-05-13T16:54:31.010581Z

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=2026-05-13T16:54:30.953199Z digest=sha256:9bcf9679bd3ed28533ca11e2262f703c81440a440154cbc913555930fe72a174

Observation 666398f7-49e8-4918-b88e-196b1ddb07eb · outbound

This paper cites Aligning Text-to-Image Models using Human Feedback.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process Aligning Text-to-Image Models using Human Feedback

Reference 10

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verified exact
arxiv_id, observed 2026-05-14T20:39:15.590122Z

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=2026-05-13T16:54:30.953199Z digest=sha256:aae057462f783e503c41f099626ca41c9223c3c104531db19c505d874507a907

Observation d948cab9-2bd9-44fd-805e-896b35ce92aa · outbound

This paper cites Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review

Reference 11

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arxiv_id, observed 2026-05-13T18:27:03.097041Z

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=2026-05-13T16:54:30.953199Z digest=sha256:79d2a0e27e41770c7df1faf04834f2c024ee2a2d91ebd9b31472d2088d4375eb

Observation 1bc4cf71-7dea-4249-ad1b-17a6561c1363 · outbound

This paper cites arXiv preprint arXiv:2507.07510 , year=.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process arXiv preprint arXiv:2507.07510 , year=

Reference 12

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arxiv_id, observed 2026-05-13T16:54:31.019743Z

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=2026-05-13T16:54:30.953199Z digest=sha256:f7581f2fd13c4b5ef82e0230e1c62a2a24d904c3e5c66541923acebdde9b1c78

Observation e257db46-8f45-4a3e-8254-6a728a86e4ee · outbound

This paper cites Flow Matching for Generative Modeling.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process Flow Matching for Generative Modeling

Reference 13

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local_arxiv, observed 2026-05-13T16:54:31.022380Z

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=2026-05-13T16:54:30.953199Z digest=sha256:2300432e5d26ec1ab8a4af39a1dd0ac3be280b3a64a00ae600722fb8c000eb47

Observation 954f5b36-d10f-4dea-b58e-32271cd7488b · outbound

This paper cites Flow-GRPO: Training Flow Matching Models via Online RL.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process Flow-GRPO: Training Flow Matching Models via Online RL

Reference 14

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verified exact
local_arxiv, observed 2026-05-13T16:54:31.025107Z

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=2026-05-13T16:54:30.953199Z digest=sha256:c421258e8e2eddcf34748c7b45e6d307338ee9d2f8ac6c70707fcdd9e6c462f1

Observation 643ff579-85bd-4879-8c41-f5955b319e5e · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 15

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verified exact
local_arxiv, observed 2026-05-13T16:54:31.028117Z

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=2026-05-13T16:54:30.953199Z digest=sha256:4178744338d50348fa76be8b70d8cb532ae4b98b82a23483e460e2097ee4870e

Observation 5888bd0c-b5d3-4fdd-a454-06e36fae59f5 · outbound

This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 16

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verified exact
arxiv_id, observed 2026-05-16T07:54:11.877839Z

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=2026-05-13T16:54:30.953199Z digest=sha256:5af5ffbc70d39be2743a960c523243cde33fe912483df8a32c4b16b1d272d567

Observation f450e44f-0e3a-4bb5-ab2f-fa1866fa9d2b · outbound

This paper cites Video Diffusion Alignment via Reward Gradients.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process Video Diffusion Alignment via Reward Gradients

Reference 17

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verified exact
arxiv_id, observed 2026-05-13T16:54:31.034781Z

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=2026-05-13T16:54:30.953199Z digest=sha256:5614c0882d55a37cb626645bbffa3e084e5644f7597b2ff8b2988d8cd8a72fe5

Observation 6bc7b6d4-3bf4-4ee8-9d86-82c3999b5add · outbound

This paper cites Proximal Policy Optimization Algorithms.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process Proximal Policy Optimization Algorithms

Reference 18

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local_arxiv, observed 2026-05-13T16:54:31.037691Z

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=2026-05-13T16:54:30.953199Z digest=sha256:0656740eea4b2368d9ce33469a50ff839b79107748247fb7dbe91b505e499165

Observation b20570a1-271b-4f19-870e-3556dd227324 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 19

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verified exact
local_arxiv, observed 2026-05-13T16:54:31.040507Z

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=2026-05-13T16:54:30.953199Z digest=sha256:fa9b354f825b4f76bbaec072929f73694016b8fdd39e2a7a4c16e4c7228e0060

Observation a3da8bbf-4ade-40b7-8d08-a6220c04e582 · outbound

This paper cites Denoising Diffusion Implicit Models.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process Denoising Diffusion Implicit Models

Reference 20

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verified exact
local_arxiv, observed 2026-05-13T16:54:31.043025Z

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=2026-05-13T16:54:30.953199Z digest=sha256:d33d7a980ec3a5d62b557351412528739c85dd078becacd2942c1acfaad14f9e

Observation baa0c7fe-655c-47ed-8464-4450d7f27b24 · outbound

This paper cites Coefficients-preserving sampling for reinforcement learning with flow matching.arXiv preprint arXiv:2509.05952.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process Coefficients-preserving sampling for reinforcement learning with flow matching.arXiv preprint arXiv:2509.05952

Reference 21

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arxiv_id, observed 2026-05-13T16:54:30.979686Z

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=2026-05-13T16:54:30.953199Z digest=sha256:3655240ca41d6a9f36d5c04ec450848fe99302aeae3eff8b8ba48c8082102325

Observation d281ccfb-2a55-450b-82ff-588a5c6dcb03 · outbound

This paper cites Unified Reward Model for Multimodal Understanding and Generation.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process Unified Reward Model for Multimodal Understanding and Generation

Reference 22

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arxiv_id, observed 2026-05-14T00:44:31.060111Z

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=2026-05-13T16:54:30.953199Z digest=sha256:f5eaae3ea0a7aad9455110deca829dd7a81b35f6132701188013facd4cdb7268

Observation 0e2c99e4-3cf7-4e2b-b9cc-5dfe8da4c49b · outbound

This paper cites Human preference score: Better aligning text-to-image models with human preference.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process Human preference score: Better aligning text-to-image models with human preference

Reference 23

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verified fuzzy
raw_fallback, observed 2026-05-13T16:54:31.053359Z

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=2026-05-13T16:54:30.953199Z digest=sha256:91e101c2c4488f38f4c9496d0e1886768ad4cf0c7e4d51df495ccf3d4198b116

Observation 3a903c09-9f27-48b5-996a-8758fa183abe · outbound

This paper cites A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce

Reference 24

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verified exact
arxiv_id, observed 2026-05-13T16:54:30.986262Z

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=2026-05-13T16:54:30.953199Z digest=sha256:98bd6f5033d2109945e60ae72bb5f2d09b125aaba73a6e6aa01665689d15b692

Observation 13844d2c-8f9a-48e6-887f-d444a867f0ce · outbound

This paper cites DanceGRPO: Unleashing GRPO on Visual Generation.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process DanceGRPO: Unleashing GRPO on Visual Generation

Reference 25

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local_arxiv, observed 2026-05-13T16:54:30.989230Z

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=2026-05-13T16:54:30.953199Z digest=sha256:0fc0aff551f6f462b436ce2bff72a483c673c1abecae3988c6ecd42f30d73eb8

Observation a10139b4-1190-4127-9708-6f829f981c1c · outbound

This paper cites Fast Sampling of Diffusion Models with Exponential Integrator.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process Fast Sampling of Diffusion Models with Exponential Integrator

Reference 26

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arxiv_id, observed 2026-05-13T16:54:30.992398Z

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=2026-05-13T16:54:30.953199Z digest=sha256:bb1e968dcb04a589a32f3deb9c467f6bac6ad2b057fc4b652bdb34568a789fe4

Observation 67b9a9e0-0d82-4e10-b6b5-b1223c43c230 · outbound

This paper cites Diffusion Bridge Implicit Models.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process Diffusion Bridge Implicit Models

Reference 27

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arxiv_id, observed 2026-05-13T16:54:30.995484Z

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=2026-05-13T16:54:30.953199Z digest=sha256:5fcc959781e95b15973bad1fcb8a76db70cc09e8a4038d346cb2748547034834

Observation e58cc864-4d90-4083-b2cb-eea320d7e78f · outbound

This paper cites an unresolved cited work.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process Unresolved cited work

Reference 28

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unresolved
raw_fallback, observed 2026-05-13T16:54:31.055191Z

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=2026-05-13T16:54:30.953199Z digest=sha256:25f4a7fd02774157421625995ef57f493fcaa5b65ff3e61948d901da5cd55b22

Observation c9c23f10-0754-4c29-a7d9-8a417337ed60 · outbound

This paper cites We provide a simpler and more principled perspective based solely on the diffusion model framework.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process We provide a simpler and more principled perspective based solely on the diffusion model framework

Reference 29

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verified fuzzy
raw_fallback, observed 2026-05-13T16:54:31.047481Z

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=2026-05-13T16:54:30.953199Z digest=sha256:972644d3761c5531ba78cd29b3ba812de62c192333eb82e1584279b01125f6cd

Observation e6292ee4-2bda-475b-86da-9a4f10183611 · outbound

This paper cites B.3 INTUITION BEHIND THEFLOWGRPO OBJECTIVE We provide some insight into reverse-process diffusion RL by inspecting the FlowGRPO objective in a sampler-agnostic manner.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process B.3 INTUITION BEHIND THEFLOWGRPO OBJECTIVE We provide some insight into reverse-process diffusion RL by inspecting the FlowGRPO objective in a sampler-agnostic manner

Reference 30

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verified fuzzy
raw_fallback, observed 2026-05-13T16:54:31.049506Z

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=2026-05-13T16:54:30.953199Z digest=sha256:76d16874daa3d0cfc9f2adf165b0f77445e60706165e9465382b60e7aa7f65d7

Observation 434c7e89-71c2-4940-a5cb-9bda7f179e8e · outbound

This paper cites Consult Doctor.

DiffusionNFT: Online Diffusion Reinforcement with Forward Process Consult Doctor

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T16:54:31.051450Z

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=2026-05-13T16:54:30.953199Z digest=sha256:d2e22329a47e9895af624cc84ee8bb95e6c3f60bf6a542a930f2e3f960fbf35f

Pith citing papers

Observation 041ca52f-8361-42d9-942b-e932235ab501 · inbound

Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback cites this paper.

Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 27

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verified exact
local_arxiv, observed 2026-05-21T18:01:19.936429Z

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=2026-05-21T18:01:19.748677Z digest=sha256:5efefac389e3015a970f063583fd03abcc7855b69a221f72253ad570393a0fa7

Observation a0b86d4b-6801-473c-b07a-fd9ebc189bb4 · inbound

TAGRPO: Boosting GRPO on Image-to-Video Generation with Direct Trajectory Alignment cites this paper.

TAGRPO: Boosting GRPO on Image-to-Video Generation with Direct Trajectory Alignment DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-03T11:36:15.213995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:36:15.213995Z digest=sha256:2214aa82b1ef9d5dd57b1a4f16e42b201f0e8ab5b17a1caa1708fb062bf319e7

Observation b17e3dad-6831-4e73-a5ec-f797b1cb1685 · inbound

Bridging Information Asymmetry: A Hierarchical Framework for Deterministic Blind Face Restoration cites this paper.

Bridging Information Asymmetry: A Hierarchical Framework for Deterministic Blind Face Restoration DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 29

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unresolved
no resolver link, observed 2026-08-03T07:38:47.338529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:38:47.338529Z digest=sha256:c7ca2b99f68a92c16567d784db5aad8548a9af6720ef547e1a7fa58ceaa0ca51

Observation 738b0bb5-a1b9-4e84-aa95-0291161c62e0 · inbound

Optimizing Few-Step Generation with Adaptive Matching Distillation cites this paper.

Optimizing Few-Step Generation with Adaptive Matching Distillation DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 26

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unresolved
no resolver link, observed 2026-08-03T03:42:45.779360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:42:45.779360Z digest=sha256:826902756a885d65bf97505e0f39f7d04fb394f63cb734bef85531f0d323aadb

Observation a1296a26-47ef-49de-bdef-446b06f1333e · inbound

Improving Text-to-Image Generation with Intrinsic Self-Confidence Rewards cites this paper.

Improving Text-to-Image Generation with Intrinsic Self-Confidence Rewards DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 91

Resolution
verified exact
local_arxiv, observed 2026-05-15T18:41:28.706087Z

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=2026-05-15T18:40:18.940889Z digest=sha256:cb363b272655e80395a88daebea6f1e140531e13364d63abdb8e4bf14e9b3691

Observation 4d7df37b-3eb7-435e-8da0-b18c71ec7f3d · inbound

LucidNFT: LR-Anchored Multi-Reward Preference Optimization for Flow-Based Real-World Super-Resolution cites this paper.

LucidNFT: LR-Anchored Multi-Reward Preference Optimization for Flow-Based Real-World Super-Resolution DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 48

Resolution
malformed identifier
local_arxiv, observed 2026-05-15T15:46:12.285257Z

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=2026-05-15T15:44:54.751000Z digest=sha256:973f549adc3983a8a1867f666cf4e50e876217014b1d22801f622c05fed04632

Observation b20ae49c-0cbb-4252-8d2d-f331c6cea680 · inbound

GeMPO: Generalized Measure Matching for Online Diffusion Reinforcement Learning cites this paper.

GeMPO: Generalized Measure Matching for Online Diffusion Reinforcement Learning DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 65

Resolution
unresolved
no resolver link, observed 2026-07-14T23:47:45.866615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T23:47:45.866615Z digest=sha256:ae5ad2e3776d3a937f14acbaddf01e73666d1cfc62a5c0c061dbc4b423102858

Observation 06b307c4-bef8-4c60-994c-6850f400a37d · inbound

WeEdit: A Dataset, Benchmark and Glyph-Guided Framework for Text-centric Image Editing cites this paper.

WeEdit: A Dataset, Benchmark and Glyph-Guided Framework for Text-centric Image Editing DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-02T18:25:59.032945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:25:59.032945Z digest=sha256:e2a0779d31c3d2967fc9ee9909dd38c7f26f1fafc1d985fe5f3fde62835ed3f4

Observation 797b00fe-d66e-42dd-9ddd-f72e7834049d · inbound

CellFluxRL: Biologically-Constrained Virtual Cell Modeling via Reinforcement Learning cites this paper.

CellFluxRL: Biologically-Constrained Virtual Cell Modeling via Reinforcement Learning DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-15T01:08:25.859899Z

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=2026-05-15T01:05:45.781048Z digest=sha256:7a918847031b752d245181a0a645d60e039e957e95559b49cdf371917d3d607f

Observation 1683dc31-dbb9-4377-af63-bc6096b03661 · inbound

CellFluxRL: Biologically-Constrained Virtual Cell Modeling via Reinforcement Learning cites this paper.

CellFluxRL: Biologically-Constrained Virtual Cell Modeling via Reinforcement Learning DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-22T10:44:47.525707Z

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=2026-05-22T10:41:37.140709Z digest=sha256:f54b4644c9751d3cf3fa6dae878bdcf570ec1d61b8411a1fb562b821762e8331

Observation 5d343de5-ace4-4bad-b25a-6ed8d4fe040c · inbound

FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling cites this paper.

FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=2026-05-10T18:10:06.994557Z digest=sha256:255443aa3fd2eff7f6de27d1fdc7caaf8626c96dbcee9823bfa74e6afc3cb78d

Observation a885f9a6-339f-460c-a16d-1a3b318db0c1 · inbound

FineEdit: Fine-Grained Image Edit with Bounding Box Guidance cites this paper.

FineEdit: Fine-Grained Image Edit with Bounding Box Guidance DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 69

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=2026-05-10T16:15:23.578176Z digest=sha256:d7cf2cf67f5c4e557afa8c7892fa6e94d10e5aa7f70f951f5cbc1c58fda3ea20

Observation 6bb206a3-1cfe-4c7a-8ecc-8f1e286891b0 · inbound

LeapAlign: Post-Training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories cites this paper.

LeapAlign: Post-Training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=2026-05-10T11:23:28.424453Z digest=sha256:d9aad9f11078ddfbdb7337716d24df782f75d018b30998b864abf83c1a64a88d

Observation fe5a72f4-ea22-481c-8348-217ec93f57ed · inbound

Guiding Distribution Matching Distillation with Gradient-Based Reinforcement Learning cites this paper.

Guiding Distribution Matching Distillation with Gradient-Based Reinforcement Learning DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 59

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=2026-05-10T02:45:35.600729Z digest=sha256:75c012297d9d40d55f96a84f6a93bed5676175e18db1c528d71062031ee06e12

Observation 9df95f4f-2e18-460d-93fa-26605d9311f8 · inbound

Generative Texture Filtering cites this paper.

Generative Texture Filtering DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=arxiv_source observed=2026-05-10T03:16:37.509163Z digest=sha256:47aa34a050a7d1a244f1d1aec143d49686257c9da87f6aee5cfdb5ebfa522e77

Observation d04b458b-a707-475a-b149-8c0c0d9ca9d6 · inbound

Tstars-Tryon 1.0: Robust and Realistic Virtual Try-On for Diverse Fashion Items cites this paper.

Tstars-Tryon 1.0: Robust and Realistic Virtual Try-On for Diverse Fashion Items DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=2026-05-10T03:36:03.906391Z digest=sha256:16499507f94c2126ef4d851a0000e8ae76d7c3d9d2d2ff73ea7ba5fe532f7d32

Observation c7811369-8320-48e9-858c-0e8f26f2f982 · inbound

Tstars-Tryon 1.0: Robust and Realistic Virtual Try-On for Diverse Fashion Items cites this paper.

Tstars-Tryon 1.0: Robust and Realistic Virtual Try-On for Diverse Fashion Items DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=2026-05-12T01:51:23.775478Z digest=sha256:913ea688d708a1f9997277536343b0ca25986ca19e13dbc0f7e48c796804d2bc

Observation 25154744-6234-4ffc-a512-b3314fd02279 · inbound

V-GRPO: Online Reinforcement Learning for Denoising Generative Models Is Easier than You Think cites this paper.

V-GRPO: Online Reinforcement Learning for Denoising Generative Models Is Easier than You Think DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=2026-05-08T08:27:17.629238Z digest=sha256:0b7a0dfe0d9941685cd547b32b78163a31a39de95c16748e0323e249c258c731

Observation 9b4f6aea-76e1-4d66-8d94-02fb5b0ee72f · inbound

A Systematic Post-Train Framework for Video Generation cites this paper.

A Systematic Post-Train Framework for Video Generation DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=2026-05-07T16:58:33.014401Z digest=sha256:f82b3fb9a73755f6ba0a3081f0d7a0cf7cbeff746225d8e12a0f5bacd5b27750

Observation 6328fc2e-b632-4bea-b445-84cfa2a82106 · inbound

A unified perspective on fine-tuning and sampling with diffusion and flow models cites this paper.

A unified perspective on fine-tuning and sampling with diffusion and flow models DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=arxiv_source observed=2026-05-09T19:43:42.331642Z digest=sha256:00f615f6fda871d30f8f61b88978032e5f6b3ce1a4e59b3c2882e3ec24a70b22

Observation a76d68d1-a682-483e-927c-bfe222051121 · inbound

Mamoda2.5: Enhancing Unified Multimodal Model with DiT-MoE cites this paper.

Mamoda2.5: Enhancing Unified Multimodal Model with DiT-MoE DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=2026-05-08T18:26:58.696936Z digest=sha256:0d87050455fbc11082e3e087fcc6ea3f08db70332d3fecda1b111304880f74dd

Observation 403688aa-645a-47ac-97c9-e04ada8f1db9 · inbound

JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation cites this paper.

JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 106

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=2026-05-08T17:57:08.606559Z digest=sha256:3a3feec2c72ef18e5472e40bb7b28bebf6bf5ccc9da1c3a2bf098c762edab673

Observation adfcc3d7-e345-44f0-8f06-31ae91d83dd8 · inbound

JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation cites this paper.

JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 106

Resolution
verified exact
local_arxiv, observed 2026-05-21T08:19:52.626348Z

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=2026-05-21T08:15:58.020894Z digest=sha256:ba849fb24a7d3820c1b83a86e303d22226f00af09bc47c9aa23e34003225511a

Observation e7772b12-e13e-44bf-a3ed-5346bcc1ef7d · inbound

Towards General Preference Alignment: Diffusion Models at Nash Equilibrium cites this paper.

Towards General Preference Alignment: Diffusion Models at Nash Equilibrium DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=2026-05-08T16:54:58.732444Z digest=sha256:029042392e128783923cef8c32ccbb9972c8363b3d224c19e540c54a485ba6cc

Observation 237d4a6b-cade-40b9-ad0c-045c0646a4e1 · inbound

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models cites this paper.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 117

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=2026-05-08T17:25:26.391582Z digest=sha256:677a4b9856d4df5f60ddfb70ae53d712347dda79c2389f9a05da80331f58a193

Observation 134eeadf-ef05-466f-b0bc-05f79685d794 · inbound

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models cites this paper.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 118

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T23:19:13.737904Z

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=2026-05-20T23:18:35.390642Z digest=sha256:c6636751d6a785edd16a26bb806f81fdf7fe55b1c521d2d072b415d1042ddba2

Observation ef38f4dc-789a-45cb-9c3b-75f5be85eebb · inbound

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models cites this paper.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 118

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T23:45:07.795351Z

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=2026-06-30T23:44:10.302520Z digest=sha256:2355ec2271ace93716a26ede3563789d2b90dc1eb26e9cc12e018f5c86db0099

Observation 193a290b-47fd-46fc-9e51-1226ac5b7e0c · inbound

Diffusion-APO: Trajectory-Aware Direct Preference Alignment for Video Diffusion Transformers cites this paper.

Diffusion-APO: Trajectory-Aware Direct Preference Alignment for Video Diffusion Transformers DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=2026-05-11T01:58:25.291448Z digest=sha256:fc77259a60d918aa9dfb5a5ffd8aed19115a98233dcf41af9e908559b7e7c11e

Observation b79facb1-3293-48c3-b980-44c21d77a8e0 · inbound

Flow-OPD: On-Policy Distillation for Flow Matching Models cites this paper.

Flow-OPD: On-Policy Distillation for Flow Matching Models DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=2026-05-11T02:04:16.335479Z digest=sha256:e18a7580f35422dd607e74914d27e678ee60db3bd02391f5028f01148d7398d2

Observation b9b0d17e-ffef-45fa-b783-993a5c145f0e · inbound

Flow-OPD: On-Policy Distillation for Flow Matching Models cites this paper.

Flow-OPD: On-Policy Distillation for Flow Matching Models DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=2026-05-13T01:17:08.955601Z digest=sha256:02ed7f2001e1d07b6e72c0555c5579f31cec014560d1bab7c23f1736e576abca

Observation 92d520c6-469a-46ad-8e5d-c9964c7b58c4 · inbound

Flow-OPD: On-Policy Distillation for Flow Matching Models cites this paper.

Flow-OPD: On-Policy Distillation for Flow Matching Models DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-15T05:55:05.196309Z

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=2026-05-15T05:52:26.736304Z digest=sha256:802411289a4e809fdc20482ca34a8a487e084d6ced4ea1b7ee8f33e62a80e187

Observation 0918f842-0572-42fe-9ce9-d1f377f4cad1 · inbound

Flow-OPD: On-Policy Distillation for Flow Matching Models cites this paper.

Flow-OPD: On-Policy Distillation for Flow Matching Models DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-20T22:43:51.752168Z

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=2026-05-20T22:39:32.496303Z digest=sha256:3e6cfeb3023e913cc174f95cd80d2a840eb5e0852ee048998cf78945f2fcbe6e

Observation e8693666-5934-4d0a-bca5-8b80b71f7a5f · inbound

Flow-OPD: On-Policy Distillation for Flow Matching Models cites this paper.

Flow-OPD: On-Policy Distillation for Flow Matching Models DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-06-30T23:05:07.200888Z

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=2026-06-30T23:02:29.120150Z digest=sha256:7c1c7d02c65c49bc4df35b6af8a1acbcd5a391775ec702d187fe73cbd4049bd3

Observation 37c8974f-2203-41d6-8cb1-0f07f3b734fb · inbound

Auto-Rubric as Reward: From Implicit Preferences to Explicit Multimodal Generative Criteria cites this paper.

Auto-Rubric as Reward: From Implicit Preferences to Explicit Multimodal Generative Criteria DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=2026-05-12T00:58:53.626310Z digest=sha256:b5f62f7ae34871fd407c01124f4d8bd30f014ef84c84b5fd5235dc0775d089be

Observation 98001f8c-bc21-4200-bfbb-ef193c9cd20c · inbound

RewardHarness: Self-Evolving Agentic Post-Training cites this paper.

RewardHarness: Self-Evolving Agentic Post-Training DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=2026-05-12T01:05:25.567581Z digest=sha256:dd3f5ec82fc176aeb3f726fd6199109773a459661a69cae869698b559d3b7ff5

Observation 25775d43-bfe8-4cd4-92d3-744b84d6990b · inbound

Qwen-Image-2.0 Technical Report cites this paper.

Qwen-Image-2.0 Technical Report DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=2026-05-12T04:21:18.312613Z digest=sha256:a5d7f8f6e5a8c11fa9c74a18490f976544a578bb6cbd14eb7c65431f5c015f9e

Observation c8826ad7-adfa-4e75-b081-4ba381ddbd2b · inbound

Power Reinforcement Post-Training of Text-to-Image Models with Super-Linear Advantage Shaping cites this paper.

Power Reinforcement Post-Training of Text-to-Image Models with Super-Linear Advantage Shaping DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 98

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=2026-05-12T03:33:40.994346Z digest=sha256:1f95d2a01e31cda4286f5464811506496090972b1b50ea2bd29a3c5e936d9220

Observation 779b8ea3-2730-435f-b0f3-94812f1f4c3f · inbound

When Policy Entropy Constraint Fails: Preserving Diversity in Flow-based RLHF via Perceptual Entropy cites this paper.

When Policy Entropy Constraint Fails: Preserving Diversity in Flow-based RLHF via Perceptual Entropy DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=2026-05-13T05:50:13.653022Z digest=sha256:db3874e6d18b50f281420b92274ae533888efae6daa25bf608b5102db889ec01

Observation be15b09b-6310-4b81-bf0f-4d095500b7ce · inbound

Cutting rules in strong field QED with application to trident pair production cites this paper.

Cutting rules in strong field QED with application to trident pair production DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-12T16:57:23.214654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T16:57:23.214654Z digest=sha256:f78585be29f9cc7c305eb54a67e0c2e90c0e2a9d8f520e3ab4a75d9a213dfaf8

Observation d092edc2-7126-4bbd-8918-0df2b68d53bd · inbound

OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation cites this paper.

OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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=2026-05-13T06:16:20.612291Z digest=sha256:87a385f123d00d9f2114cd077a9b48fc935d95e17b97de4d8de6a33bfe0e4137

Observation 2c820e11-6079-49ce-b66a-00e5e31302ab · inbound

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL cites this paper.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:43:33.282486Z

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=2026-05-15T02:42:08.454469Z digest=sha256:21cb56da85526de1cd99423921caec8e7b47a6f806c7888f1d2b02a8383b0f6f

Observation 53d44aaf-8457-4425-ba0c-3aa11d5ee317 · inbound

Unlocking Complex Visual Generation via Closed-Loop Verified Reasoning cites this paper.

Unlocking Complex Visual Generation via Closed-Loop Verified Reasoning DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-05-19T16:37:39.696477Z

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=2026-05-19T16:35:43.166697Z digest=sha256:d8808814ae0078a44248a16618bc2220df01c02af31c8de41157495cdaf1d096

Observation f755778f-cfea-4963-9c97-33f530a7167a · inbound

DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion Models cites this paper.

DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion Models DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:25:46.847490Z

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=2026-06-30T21:20:23.420424Z digest=sha256:b35810209c3c636e59e6a8e2e3f777c187d6734320b29053577d753507b4f6b2

Observation 15756214-6d56-4c10-818e-d09873d117cc · inbound

Embedding-perturbed Exploration Preference Optimization for Flow Models cites this paper.

Embedding-perturbed Exploration Preference Optimization for Flow Models DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 98

Resolution
verified exact
local_arxiv, observed 2026-05-20T18:38:52.968583Z

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=2026-05-20T18:33:52.933672Z digest=sha256:18d26b8ed884c4065a619bd7286808ae3c1ab270ff8d58f51a411aa22f9d82d4

Observation bbcddf5a-7642-4de7-b0c3-e3ab929ce4cd · inbound

Edit-GRPO: A Locality-Preserving Policy Optimization Framework for Image Editing cites this paper.

Edit-GRPO: A Locality-Preserving Policy Optimization Framework for Image Editing DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-05-19T20:47:45.861784Z

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=2026-05-19T20:44:54.356658Z digest=sha256:73a609d4a431cf26469861f2daf8bd6a36c7d36e44d09a2f68a294ede413cf2d

Observation 6a6ca34e-16e8-42f3-9e41-15081b8997b0 · inbound

Lance: Unified Multimodal Modeling by Multi-Task Synergy cites this paper.

Lance: Unified Multimodal Modeling by Multi-Task Synergy DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 149

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:48:14.956010Z

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=2026-05-20T11:46:52.658984Z digest=sha256:166e7dbf2571071d0e13bede2bb6c9417b39e4bd4a3b1450dadb37d5fdb8b83b

Observation b58532f2-2c9d-4342-9543-2a02ef384466 · inbound

Lance: Unified Multimodal Modeling by Multi-Task Synergy cites this paper.

Lance: Unified Multimodal Modeling by Multi-Task Synergy DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 150

Resolution
verified exact
local_arxiv, observed 2026-05-21T07:59:50.542832Z

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=2026-05-21T07:56:34.034047Z digest=sha256:fb7d5c7989a425ef1ddd5e4c68152e68b9425323f52f0a545d1eea6a1f4f7ea4

Observation 3fa1a167-6cd4-4348-a711-981a87f86153 · inbound

Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models cites this paper.

Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-22T09:34:46.721221Z

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=2026-05-22T09:34:14.596976Z digest=sha256:794fb1aa962b4686f44d7a25f7368071ddaa06f7841e5742e424f07f13208697

Observation 2f20a9ae-53fb-4663-897b-a00c3fbe8dbe · inbound

Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion cites this paper.

Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 96

Resolution
verified exact
local_arxiv, observed 2026-05-25T05:30:22.480778Z

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=2026-05-25T05:30:15.053277Z digest=sha256:075fda54961212011c355fb9f695a14971c00a7b88714641df707c10cd8da63e

Observation 36b93a51-861b-455c-8fdc-782f8b944f46 · inbound

GeoCycler: Reward-Aligned 3D Diffusion for Constraint-Conditioned Cyclic Peptide Design cites this paper.

GeoCycler: Reward-Aligned 3D Diffusion for Constraint-Conditioned Cyclic Peptide Design DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 81

Resolution
verified exact
local_arxiv, observed 2026-05-25T02:46:33.465077Z

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=arxiv_source observed=2026-05-25T02:46:03.894997Z digest=sha256:16409f41ee8951ac2a0088af2982f7480e6f0bf37f8b77e4e7bf8a7a337d3092

Observation 22610273-e326-4f7a-8e9b-eea88aa558d4 · inbound

Precise: SDE-Consistent Stochastic Sampling for RL Post-Training of Flow-Matching Models cites this paper.

Precise: SDE-Consistent Stochastic Sampling for RL Post-Training of Flow-Matching Models DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-25T05:05:22.171484Z

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=2026-05-25T05:05:09.178674Z digest=sha256:4e584693e9533079ddbee8161dec4a45d77063b0e6a204ab9e54cfd2ca09d3ed

Observation 6d82f758-7150-47f3-ae3b-571ab367f929 · inbound

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models cites this paper.

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T22:54:01.601778Z

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=2026-06-29T22:44:25.152451Z digest=sha256:27d5cd0d55429c0302859de5eab718b3afb364808afd20cfb338e3c923901dc1

Observation 2aafe461-0848-4f48-82f0-a23d5cd22fdd · inbound

Aligning Few-Step Generative Models by Amortizing Sample-based Variational Inference cites this paper.

Aligning Few-Step Generative Models by Amortizing Sample-based Variational Inference DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 112

Resolution
verified exact
local_arxiv, observed 2026-06-29T19:23:54.034067Z

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=2026-06-29T19:17:17.682142Z digest=sha256:9f481fe437fea0e351255990e48f3e9527661b5955ad484297fb010b20f8fe32

Observation c7ec2534-5536-47a9-8c83-af5830c8357e · inbound

OSP-Next: Efficient High-Quality Video Generation with Sparse Sequence Parallelism, HiF8 Quantization, and Reinforcement Learning cites this paper.

OSP-Next: Efficient High-Quality Video Generation with Sparse Sequence Parallelism, HiF8 Quantization, and Reinforcement Learning DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-06-29T13:13:27.541055Z

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=2026-06-29T13:06:02.201607Z digest=sha256:faf8c25a17ab030606bb06ed2d2670e801ceb1a772a7386398edde0d42b71bcc

Observation d1565b96-4356-4b95-aa4f-e0618eb1da5c · inbound

Guidance Contrastive Token Credit Assignment for Discrete Policy Optimization cites this paper.

Guidance Contrastive Token Credit Assignment for Discrete Policy Optimization DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-06-29T09:03:15.916798Z

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=2026-06-29T08:59:03.375697Z digest=sha256:c00227a8bf9e30d7990d5f98619d6b31bd13c63b3cbb6aa391b2c80e3244bcde

Observation cd8f7959-137b-4409-a7b4-1671459555cd · inbound

GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models cites this paper.

GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-06-29T08:53:16.390258Z

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=2026-06-29T08:44:53.969301Z digest=sha256:f949c78a3b17579f5daa7a8af2535c226457addea4283285fbada7e3844af6db

Observation dddcc74d-4b9c-436c-a787-bff677d262c8 · inbound

Parallel Tempering Initial Sampling in Inference-Time Reward Alignment cites this paper.

Parallel Tempering Initial Sampling in Inference-Time Reward Alignment DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 52

Resolution
metadata mismatch
local_arxiv, observed 2026-06-28T23:32:47.426655Z

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=2026-06-28T23:28:22.532621Z digest=sha256:b496ff1558c994bf7031aa528c98a8ca97befbafc608d1c17a6691c28e04f1dc

Observation 8c360d91-4310-4c02-b2ac-6041e8b15518 · inbound

SwanVoice: Expressive Long-Form Zero-Shot Speech Synthesis for Both Monologue and Dialogue cites this paper.

SwanVoice: Expressive Long-Form Zero-Shot Speech Synthesis for Both Monologue and Dialogue DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-07-01T20:26:13.147669Z

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=2026-06-28T21:05:54.061395Z digest=sha256:be8a5192db8aa60454707f3727fd41b851100c50e3e365726825cfd86c6c1560

Observation d1eaa7c2-ba76-4a47-b845-8047652e5a6a · inbound

World Model Self-Distillation: Training World Models to Solve General Tasks cites this paper.

World Model Self-Distillation: Training World Models to Solve General Tasks DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 73

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:07:55.850444Z

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=2026-06-27T10:16:35.511426Z digest=sha256:64dbc4d973b9e2fda24994d8e380d5dcc2440ff55640fef1138270d73fa0e9e3

Observation 0b5ccfd4-ed3d-4732-9302-09a5573ec089 · inbound

MaineCoon: Pursuing A Real-Time Audio-Visual Social World Model cites this paper.

MaineCoon: Pursuing A Real-Time Audio-Visual Social World Model DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-07-03T20:48:55.696397Z

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=2026-06-27T01:09:02.214590Z digest=sha256:6c33e46040de2bfa4c448d4a55b6786a218adc013d374c4765e5017c24ba4b6c

Observation dc6b5b1a-c076-47a7-9176-820446180ca1 · inbound

SeFi-Image: A Text-to-Image Foundation Model with Semantic-First Diffusion cites this paper.

SeFi-Image: A Text-to-Image Foundation Model with Semantic-First Diffusion DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-07-04T08:39:42.145285Z

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=2026-06-26T11:13:14.328220Z digest=sha256:2367be49fbd20254bc2ca154ac0240b858b04ea4f6a21ce82f1897797d5f03ed

Observation cf856df9-db44-44e4-a34d-91dc2b3b6c25 · inbound

SeFi-Image: A Text-to-Image Foundation Model with Semantic-First Diffusion cites this paper.

SeFi-Image: A Text-to-Image Foundation Model with Semantic-First Diffusion DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-06-29T17:13:45.438343Z

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=2026-06-29T05:19:29.719934Z digest=sha256:ca1173662e20b9744f33cd31efa7e1e2f92712719e61729a3605e15c6d73396f

Observation 75e6c51d-8734-482d-bfa7-4c1fef3704f5 · inbound

SeFi-Image: A Text-to-Image Foundation Model with Semantic-First Diffusion cites this paper.

SeFi-Image: A Text-to-Image Foundation Model with Semantic-First Diffusion DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T10:38:02.432407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:38:02.432407Z digest=sha256:1bc537b7e87da6dff8dd1c0cab2eb7b6aaf7bd84eed9fd893f78cc23ad9359eb

Observation 73e08bf2-5fd5-41f8-891b-a8edcb773476 · inbound

Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models cites this paper.

Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 83

Resolution
verified exact
local_arxiv, observed 2026-07-04T19:50:11.383320Z

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=2026-06-25T20:57:30.765802Z digest=sha256:8fe8940e696455101890ae0e04b146c4cc74421b06641de3d2cba2f48a5f5394

Observation 627034c1-f275-4fcf-9cbb-1462961fd612 · inbound

Qwen-Image-2.0-RL Technical Report cites this paper.

Qwen-Image-2.0-RL Technical Report DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-07-01T19:06:02.848907Z

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=2026-06-29T01:11:12.757656Z digest=sha256:65b6ad4bb41c965b9e921d454815190d78dec93c616653307ce29783d7891a32

Observation 9c42bcab-93e2-463a-91e2-adcfbe5819be · inbound

PerturbCellRL: Verifier-Guided Reinforcement Learning for Single-Cell Perturbation Prediction cites this paper.

PerturbCellRL: Verifier-Guided Reinforcement Learning for Single-Cell Perturbation Prediction DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-06-29T18:13:49.481187Z

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=2026-06-29T05:11:09.189141Z digest=sha256:45b3023538c42a6b9f2737df9e525f1c7c335f21f5f19c5879af873763fd2e00

Observation 4ed72780-514f-45c5-8e1a-7036b14b7a17 · inbound

NormGuard: Reward-Preserving Norm Constraints in Flow-Matching Reinforcement Learning cites this paper.

NormGuard: Reward-Preserving Norm Constraints in Flow-Matching Reinforcement Learning DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-06-29T19:03:51.744430Z

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=2026-06-29T05:00:04.037802Z digest=sha256:727520aadf479ca0883687d0f880dfb9c6d6f28a450a251969705ffde89ea096

Observation c45a2a27-10ba-4b16-9a45-21cd9585b40c · inbound

NormGuard: Reward-Preserving Norm Constraints in Flow-Matching Reinforcement Learning cites this paper.

NormGuard: Reward-Preserving Norm Constraints in Flow-Matching Reinforcement Learning DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-12T11:38:13.566600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:38:13.566600Z digest=sha256:cf7e247ca9360e05a373381cad18be6d537b69bf444064cb86cae85269f94e24

Observation e36b6c4c-fe52-4459-aad9-8e924adf5df2 · inbound

NormGuard: Reward-Preserving Norm Constraints in Flow-Matching Reinforcement Learning cites this paper.

NormGuard: Reward-Preserving Norm Constraints in Flow-Matching Reinforcement Learning DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-02T09:56:25.942792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:56:25.942792Z digest=sha256:b7a890ffa25a87f9001c5597730e8f73eb65897fd87a4d1a36cbb3c107d35200

Observation 01d12302-20d4-4289-9cd1-e126510b5729 · inbound

FlowAWR: Online Adaptive Flow Reinforcement via Advantage-Weighted Rectification cites this paper.

FlowAWR: Online Adaptive Flow Reinforcement via Advantage-Weighted Rectification DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-06-30T07:14:20.971530Z

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=2026-06-30T07:10:44.244790Z digest=sha256:3a8f71aee15145fbfb9f39612ba825262edd9c0510ebfb7995e4ab1c96fac4b3

Observation d50855f6-fc2d-4607-a08b-b7488e4f771c · inbound

DetailAnywhere: Fashion Detail Generation via Cross-Modal Feature Alignment Distillation cites this paper.

DetailAnywhere: Fashion Detail Generation via Cross-Modal Feature Alignment Distillation DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:58:37.297939Z

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=2026-07-03T15:56:38.037304Z digest=sha256:f146221ee50e4bf48534954b83196cdc85999fada4045cefcc7df0ed57a8c2c9

Observation 498cfbbd-2378-43ff-8236-bd4292643df9 · inbound

Bridging Interleaved Multi-Modal Reasoning as a Unified Decision Process cites this paper.

Bridging Interleaved Multi-Modal Reasoning as a Unified Decision Process DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-12T00:14:19.104498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T00:14:19.104498Z digest=sha256:387a911b79e4d4c53ca54cf3d509978dd77f29eb9b6af2a04b7c6925ab3119e7

Observation 4fea896e-f570-404f-9d6a-fb5b465c2f4e · inbound

ABot-3DWorld 0: A Universal World Model to Explore Any 3D Space cites this paper.

ABot-3DWorld 0: A Universal World Model to Explore Any 3D Space DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-14T03:58:47.052341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T03:58:47.052341Z digest=sha256:896bc4b9ff0c92d381697bfe8d73b569429b6a931c1c500ea859c5a0677fde9e

Observation f6ffa1e8-1b9b-43e3-9dcf-5b0da6407561 · inbound

PAVXploreRL: Physical-Action-Visual World Model Reinforcement Learning with Action Exploration cites this paper.

PAVXploreRL: Physical-Action-Visual World Model Reinforcement Learning with Action Exploration DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T20:30:44.499015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:30:44.499015Z digest=sha256:3d8da18d4455b7a125cd7a54149fdd2f03c594850ebfdac36f7e41099afbe88b

Observation 98ddbe36-96fe-4644-9b66-9659f186cfbb · inbound

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models cites this paper.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 94

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unresolved
no resolver link, observed 2026-08-01T17:41:03.898241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:41:03.898241Z digest=sha256:595bb1f652d3fc1b3ed92627a6918335bbe2dd3aa7e6564933c45d9066531e97

Observation 2480606f-bc55-4b33-9b7b-ecea6f2b8686 · inbound

Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing cites this paper.

Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 14

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no resolver link, observed 2026-08-01T13:38:57.629394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:38:57.629394Z digest=sha256:c6ad29654a11ab166e12adf14e86ee06980568039083c4749a11172cf15f2fab

Observation b12dfc64-932d-438d-8a3b-17a47a48d325 · inbound

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On cites this paper.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-01T07:07:13.586343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:07:13.586343Z digest=sha256:78646d30abacf0312bfb04e56aff481c187fe47585fe63af342f24668b044d8d

Observation f0010592-1585-4e5e-873e-e5296b7eb444 · inbound

FlowCTS: On-policy Continuous Trajectory Supervision of Flow Models cites this paper.

FlowCTS: On-policy Continuous Trajectory Supervision of Flow Models DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 22

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unresolved
no resolver link, observed 2026-07-31T12:31:29.711276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T12:31:29.711276Z digest=sha256:6cb7a7a4bc50b70acfa7ca829d738a75f7c27dda6c0c0d586430233426448cc6

Observation 3d525ebd-deab-45ae-83b9-5f151015bda1 · inbound

SwanTale: Unified Multi-Speaker Speech and Audio Generation for Instruct and Zero-Shot Tasks cites this paper.

SwanTale: Unified Multi-Speaker Speech and Audio Generation for Instruct and Zero-Shot Tasks DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 115

Resolution
unresolved
no resolver link, observed 2026-08-04T16:29:31.429673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:29:31.429673Z digest=sha256:9d253e1f051ac2edbe3d1975a68c4b9139201edc48e03625ad585484c51404be