Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:57:17.331722Z
Paper Citation Record · LEDGER
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards
As of 18 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 5 inbound Pith citation observations for arXiv:2506.15684.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T19:14:08.592938Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T12:59:53.188279Z
Reference resolution
63 of 63 outbound references displayed
- verified exact2
- verified fuzzy43
- unresolved18
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 943c4ff9-f2f0-498a-b3d9-1c9f20c1ec4f · outbound
This paper cites GFlowNet foundations.Journal of Machine Learning Research, 2023.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards GFlowNet foundations.Journal of Machine Learning Research, 2023
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:23.668902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 76d6081d-501f-4595-945b-ea0d65b8a6ed · outbound
This paper cites Training diffusion models with reinforcement learning.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Training diffusion models with reinforcement learning
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:23.558870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d2a0d587-b615-413b-857f-9e4ec7887bc5 · outbound
This paper cites PixArt- Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards PixArt- Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:23.446535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4b96829c-d2f9-41ea-9b1a-92be1de5bcc6 · outbound
This paper cites an unresolved cited work.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T23:57:23.291527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 13f1ef14-fb10-4aef-b52e-1041af4730f5 · outbound
This paper cites Objaverse: A universe of annotated 3d objects.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Objaverse: A universe of annotated 3d objects
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:57:17.030881Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2019fa0e-9a8f-44ef-8266-a42f353213d9 · outbound
This paper cites an unresolved cited work.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T23:57:23.164680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4fd9d22e-031c-438a-91b6-2bb3fdc26d4e · outbound
This paper cites Gpld3d: Latent diffusion of 3d shape generative models by enforcing geometric and physical priors.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Gpld3d: Latent diffusion of 3d shape generative models by enforcing geometric and physical priors
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:23.045218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation aa5e3ab8-41b8-4213-9d74-6b4cc0e05f2c · outbound
This paper cites Get3d: A generative model of high quality 3d textured shapes learned from images.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Get3d: A generative model of high quality 3d textured shapes learned from images
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:22.902517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 88c6881c-73ff-4eb4-80e6-068681e0dfab · outbound
This paper cites Reinforcement learning with deep energy-based policies.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Reinforcement learning with deep energy-based policies
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:22.794793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5ecd915a-79ac-4043-8dd3-0b92a207561e · outbound
This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Gans trained by a two time-scale update rule converge to a local nash equilibrium
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:57:17.055428Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29122ead-4ac2-4401-a3dc-5c1afdc782de · outbound
This paper cites Denoising diffusion probabilistic models.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Denoising diffusion probabilistic models
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:22.711666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fecffcbf-4459-4a06-ad51-35108b9810e4 · outbound
This paper cites LoRA: Low-rank adaptation of large language models.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards LoRA: Low-rank adaptation of large language models
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:22.579432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0ba54d01-1b01-4811-87a5-31db8799bef9 · outbound
This paper cites A3d: Does diffusion dream about 3d alignment? InICLR, 2025.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards A3d: Does diffusion dream about 3d alignment? InICLR, 2025
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:22.508132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 91665fd7-cbd5-4d6b-97a6-78a916047673 · outbound
This paper cites Zero-shot text-guided object generation with dream fields.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Zero-shot text-guided object generation with dream fields
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:22.396657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0df6fa2e-fada-4f49-a85e-2efb0feb49f7 · outbound
This paper cites Dreammotion: Space-time self-similar score distillation for zero-shot video editing.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Dreammotion: Space-time self-similar score distillation for zero-shot video editing
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:22.304845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8dd7ca7f-c1d4-4d75-abb6-86b2d738203e · outbound
This paper cites Test-time alignment of diffusion models without reward over-optimization.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Test-time alignment of diffusion models without reward over-optimization
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:22.154016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8679bb06-179b-45e3-b50a-6607f7bb551f · outbound
This paper cites Laion aesthetic score predictor.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Laion aesthetic score predictor
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:22.046121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 21d85a49-c91a-4470-9733-d13cd6e83315 · outbound
This paper cites Diffsplat: Repurposing image diffusion models for scalable 3d gaussian splat generation.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Diffsplat: Repurposing image diffusion models for scalable 3d gaussian splat generation
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:21.915907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ea0acfba-d4c1-4b9c-8eab-b8ab6f270c05 · outbound
This paper cites Flow matching for generative modeling.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Flow matching for generative modeling
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:21.787801Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3df0d6be-5a6e-434b-a997-4870af89fbc4 · outbound
This paper cites Flow-GRPO: Training Flow Matching Models via Online RL.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Flow-GRPO: Training Flow Matching Models via Online RL
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:57:17.106824Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0dbb72d7-901b-4f14-aa95-8f80568f611c · outbound
This paper cites Black, Adrian Weller, and Bernhard Schölkopf.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Black, Adrian Weller, and Bernhard Schölkopf
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:21.641676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 63e0ca85-4e88-4183-8f87-c0d61e3dd1ff · outbound
This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Flow straight and fast: Learning to generate and transfer data with rectified flow
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:21.527628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bc6baf08-6ef3-4aa7-b129-6d296765a2df · outbound
This paper cites Black, Derek Nowrouzezahrai, Liam Paull, and Weiyang Liu.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Black, Derek Nowrouzezahrai, Liam Paull, and Weiyang Liu
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:21.380154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ce96ea90-5363-4988-bcd5-d3448d20f040 · outbound
This paper cites Black, and Bernhard Schölkopf.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Black, and Bernhard Schölkopf
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:21.226963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6e433053-b069-4ee5-ab3c-2230761d87d3 · outbound
This paper cites Xiao, Weiyang Liu, Yoshua Bengio, and Dinghuai Zhang.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Xiao, Weiyang Liu, Yoshua Bengio, and Dinghuai Zhang
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:21.107426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ac550b01-f822-4380-9d74-1b46f93f0523 · outbound
This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.NeurIPS, 2022.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.NeurIPS, 2022
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:20.960234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1d6507c4-ea2e-4e94-87cd-42b62fef98e2 · outbound
This paper cites Baking Symmetry into GFlowNets.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Baking Symmetry into GFlowNets
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T23:57:17.832275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 239191dd-9415-4415-82fc-77e275556c51 · outbound
This paper cites Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:57:17.147685Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcaf57f2-2694-489d-a4c9-634d7a450521 · outbound
This paper cites Gradient Imbalance in Direct Preference Optimization.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Gradient Imbalance in Direct Preference Optimization
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:57:17.153493Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be166cc3-9108-49b4-9df7-7dc36c4cedd8 · outbound
This paper cites Stochastic generative flow networks.UAI, 2023.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Stochastic generative flow networks.UAI, 2023
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:20.836606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bb3255f1-88f2-48e0-b09d-17e207081dbc · outbound
This paper cites Dreamfusion: Text-to-3d using 2d diffusion.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Dreamfusion: Text-to-3d using 2d diffusion
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:20.729780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 96dbcb8d-5d67-45f8-9679-f469992c0fd0 · outbound
This paper cites Richdreamer: A generalizable normal-depth diffusion model for detail richness in text-to-3d.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Richdreamer: A generalizable normal-depth diffusion model for detail richness in text-to-3d
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:20.614429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8122b5a2-ce7b-4348-b228-600ab84006d2 · outbound
This paper cites Controlling text-to-image diffusion by orthogonal finetuning.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Controlling text-to-image diffusion by orthogonal finetuning
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:20.468194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5d98ce27-c0ca-4dec-90a6-cc69018a104a · outbound
This paper cites Learning transferable visual models from natural language supervision.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Learning transferable visual models from natural language supervision
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:20.343665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7a78fa5a-0a16-4f26-a479-ae9ee579966d · outbound
This paper cites Direct preference optimization: Your language model is secretly a reward model.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Direct preference optimization: Your language model is secretly a reward model
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:20.230519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7862a310-05cf-4592-bcf4-4df094f98b48 · outbound
This paper cites Texture: Text-guided texturing of 3d shapes.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Texture: Text-guided texturing of 3d shapes
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:20.088919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e3ecdaff-6355-4ca9-9080-aa05dd295fe2 · outbound
This paper cites High-resolution image synthesis with latent diffusion models.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards High-resolution image synthesis with latent diffusion models
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:19.974287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a3cbe260-bd13-4f59-8e18-2098a780075f · outbound
This paper cites Meshgpt: Generating triangle meshes with decoder-only transformers.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Meshgpt: Generating triangle meshes with decoder-only transformers
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:19.842640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f5971bcd-dc4d-4463-b080-ac0dcec85d82 · outbound
This paper cites Denoising diffusion implicit models.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Denoising diffusion implicit models
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:19.702449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0f759890-003e-421d-b39c-931a699d3361 · outbound
This paper cites Score-based generative modeling through stochastic differential equations.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Score-based generative modeling through stochastic differential equations
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:19.570856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e327f5db-0a7a-4cea-9a5d-a02baa12eef8 · outbound
This paper cites LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:57:17.215235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 875a60c0-27df-45f7-a311-df60d57c3e25 · outbound
This paper cites Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:57:17.220344Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 040b142b-7f14-470f-b657-81488ed977c1 · outbound
This paper cites Mvreward: Better aligning and evaluating multi-view diffusion models with human preferences.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Mvreward: Better aligning and evaluating multi-view diffusion models with human preferences
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:19.399546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b0b5289c-b608-4a81-a5cf-4127c533c8c4 · outbound
This paper cites Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:19.294012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 144ef2f0-155c-4927-82df-dacc770894a0 · outbound
This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:57:17.236637Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07c0d9e9-864e-49ac-b186-054e8fc3d85a · outbound
This paper cites Structured 3D Latents for Scalable and Versatile 3D Generation.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Structured 3D Latents for Scalable and Versatile 3D Generation
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:57:17.242563Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbe30911-5b0b-40f5-84b9-23182e6e9aca · outbound
This paper cites Imagereward: learning and evaluating human preferences for text-to-image generation.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Imagereward: learning and evaluating human preferences for text-to-image generation
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:19.127274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c0cc6b09-20e3-45f6-bc16-bb1f3161bde2 · outbound
This paper cites DanceGRPO: Unleashing GRPO on Visual Generation.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards DanceGRPO: Unleashing GRPO on Visual Generation
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:57:17.252627Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a6a45c4-5103-4c30-b7be-ebf2c6bf8c13 · outbound
This paper cites Stablenormal: Reducing diffusion variance for stable and sharp normal.ACM Transactions on Graphics (TOG), 2024.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Stablenormal: Reducing diffusion variance for stable and sharp normal.ACM Transactions on Graphics (TOG), 2024
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:18.970336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b8c02dea-357a-49fb-9248-2104336c91ff · outbound
This paper cites Dreamreward: Text-to-3d generation with human preference.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Dreamreward: Text-to-3d generation with human preference
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:18.872629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 48b1255e-b8b1-4e43-899e-bca721f3a4a3 · outbound
This paper cites Learning to sample effective and diverse prompts for text-to-image generation.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Learning to sample effective and diverse prompts for text-to-image generation
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:18.706427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 11642943-0808-4718-8ea9-1cd9c0c26011 · outbound
This paper cites RaDe-GS: Rasterizing Depth in Gaussian Splatting.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards RaDe-GS: Rasterizing Depth in Gaussian Splatting
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:57:17.272758Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f061543-8502-42da-92bc-2cd773845cfc · outbound
This paper cites GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:57:17.278055Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 997f0fa8-7b95-45f6-9c56-5c6f81b9dd71 · outbound
This paper cites Unifying Generative Models with GFlowNets and Beyond.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Unifying Generative Models with GFlowNets and Beyond
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:57:17.282553Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c37d99df-f43c-4f7a-b754-6a4ff2ed3198 · outbound
This paper cites Diffusion generative flow samplers: Improving learning signals through partial trajectory optimization.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Diffusion generative flow samplers: Improving learning signals through partial trajectory optimization
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:18.617712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6b4c1d4f-c3c7-494f-b87f-e120caa8df72 · outbound
This paper cites Let the flows tell: Solving graph combinatorial problems with gflownets.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Let the flows tell: Solving graph combinatorial problems with gflownets
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:18.476071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1b24d6b3-310e-42d3-97b3-d226fa1747f1 · outbound
This paper cites Generative flow networks for discrete probabilistic modeling.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Generative flow networks for discrete probabilistic modeling
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:18.373718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 943a79a0-a1f1-45d9-96b0-21dae8914ffb · outbound
This paper cites an unresolved cited work.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T23:57:18.266631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 32bf7667-e4e5-4b61-a0fb-59803bb21d2a · outbound
This paper cites Susskind, Navdeep Jaitly, and Shuangfei Zhai.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Susskind, Navdeep Jaitly, and Shuangfei Zhai
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:18.162881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f645390d-56fe-470e-be9e-1a7b0bb24298 · outbound
This paper cites Clay: A controllable large-scale generative model for creating high-quality 3d assets.ACM Transactions on Graphics (TOG), 2024.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Clay: A controllable large-scale generative model for creating high-quality 3d assets.ACM Transactions on Graphics (TOG), 2024
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:17.976715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bf12c89d-974e-4dc5-838a-d5822faab7fd · outbound
This paper cites Guided Flows for Generative Modeling and Decision Making.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Guided Flows for Generative Modeling and Decision Making
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:57:17.321057Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1514486a-460e-40d4-8850-0f3272a64727 · outbound
This paper cites DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:57:17.326115Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aab3ae4d-3f71-4ae2-8a8d-5b7825e1f2dc · outbound
This paper cites 2) for random variable zt but with the 3D reward specified in Eqn.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards 2) for random variable zt but with the 3D reward specified in Eqn
Reference 2025
- Resolution
- verified exact
- raw_fallback, observed 2026-08-06T23:57:17.553876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
Observation 0103735c-c26d-4ef0-b4ad-52d7087e5035 · inbound
Edit in 2D, Verify in 3D: Reinforcement Learning for Multi-view Consistent Scene Editing cites this paper.
Edit in 2D, Verify in 3D: Reinforcement Learning for Multi-view Consistent Scene Editing Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T19:14:08.592938Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b7fd778-978a-4a2c-b0c3-55760537ebe2 · inbound
Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges cites this paper.
Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards
Reference 176
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T14:00:28.137813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 49ff2619-78df-47b9-bcbf-71be5167d969 · inbound
Proxy Reward Internalization and Mechanistic Exploitation: A Learned Precursor to Reward Hacking and Its Generalization cites this paper.
Proxy Reward Internalization and Mechanistic Exploitation: A Learned Precursor to Reward Hacking and Its Generalization Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards
Reference 296
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T01:37:30.565529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b99710a0-3e36-415e-939f-abb29a067353 · inbound
A Cross-Model VLM-Judge Protocol for Single-Image 3D Mesh Quality (and Why Cheap Proxies Fall Short) cites this paper.
A Cross-Model VLM-Judge Protocol for Single-Image 3D Mesh Quality (and Why Cheap Proxies Fall Short) Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T21:08:58.206947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2497c61d-6dc2-46f9-969f-92501103221d · inbound
Sculpting NeRF Geometry: Human-Preference Fine-Tuning of a 3D-Aware Face GAN cites this paper.
Sculpting NeRF Geometry: Human-Preference Fine-Tuning of a 3D-Aware Face GAN Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T12:59:53.189840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.