Paper Citation Record · LEDGER

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors

As of 7 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2506.22800.

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

pith.paper-citation-record.v1
2506.22800 v3

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:02:23.003764Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy34
unresolved5
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 76728eb1-999a-45b6-887e-78d852f4d5d8 · outbound

This paper cites Patchmatch: A randomized correspon- dence algorithm for structural image editing.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Patchmatch: A randomized correspon- dence algorithm for structural image editing

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.404632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8a00721a-ca3f-40f9-8f47-157549ab77fb · outbound

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

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 2

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Source-reported events for the cited work

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Observation 6f808d32-23b9-44a6-9d38-a0fcf68663aa · outbound

This paper cites Gaussianpro: 3d gaussian splatting with progressive propagation.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Gaussianpro: 3d gaussian splatting with progressive propagation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.396090Z

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Observation 7ef79c7c-1b5e-48cd-b4e4-be16e343b3ba · outbound

This paper cites Streetscapes: Large- scale consistent street view generation using autoregressive video diffusion.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Streetscapes: Large- scale consistent street view generation using autoregressive video diffusion

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.386989Z

Source-reported events for the cited work

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Observation af303df4-265f-41fa-b9aa-2078cbdd5dd8 · outbound

This paper cites FreeSim: Toward free-viewpoint camera simu- lation in driving scenes.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors FreeSim: Toward free-viewpoint camera simu- lation in driving scenes

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.376914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 857d0e79-8ef6-4bd8-a3fe-939b07849964 · outbound

This paper cites InstantSplat: Sparse-view Gaussian Splatting in Seconds.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors InstantSplat: Sparse-view Gaussian Splatting in Seconds

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T22:02:20.604125Z

Source-reported events for the cited work

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Observation b1bfe707-05a3-44ad-af3c-934bef2f7eb3 · outbound

This paper cites MagicDrive: Street view generation with diverse 3D geometry control.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors MagicDrive: Street view generation with diverse 3D geometry control

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.366407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40695ebf-2236-4b15-9084-725844caa05f · outbound

This paper cites Magicdrive3d: Controllable 3d generation for any-view rendering in street scenes.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Magicdrive3d: Controllable 3d generation for any-view rendering in street scenes

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.356423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 44950969-f6e8-470c-955d-ffc69830d7ea · outbound

This paper cites Vista: A generalizable driving world model with high fidelity and versatile controllability.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Vista: A generalizable driving world model with high fidelity and versatile controllability

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.345950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 60f3cd8d-218e-4e59-b619-d6736375d05d · outbound

This paper cites Ggs: Generalizable gaussian splatting for lane switching in autonomous driving.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Ggs: Generalizable gaussian splatting for lane switching in autonomous driving

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.335840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 34e58404-665d-49ff-8514-0e358a3f5256 · outbound

This paper cites 2D gaussian splatting for geometrically accu- rate radiance fields.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors 2D gaussian splatting for geometrically accu- rate radiance fields

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.325533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d684c12a-887d-4e74-b13d-179a4fc8a2b0 · outbound

This paper cites Gs-planner: A gaussian-splatting- based planning framework for active high-fidelity reconstruc- tion.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Gs-planner: A gaussian-splatting- based planning framework for active high-fidelity reconstruc- tion

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.315751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6c1325d2-289f-4ea8-8a92-085514932610 · outbound

This paper cites 3D gaussian splatting for real-time radiance field rendering.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors 3D gaussian splatting for real-time radiance field rendering

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.305649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eb009ac6-11c9-42c9-97c5-a4ad18d87cc1 · outbound

This paper cites Auto-encoding varia- tional bayes.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Auto-encoding varia- tional bayes

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.296522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 057478dc-1040-4a84-aa55-7550daf3384c · outbound

This paper cites DrivingDiffu- sion: Layout-guided multi-view driving scene video genera- tion with latent diffusion model.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors DrivingDiffu- sion: Layout-guided multi-view driving scene video genera- tion with latent diffusion model

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.287022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b176936d-f45b-4d16-8567-c3638c931436 · outbound

This paper cites Choose your sim- ulator wisely: A review on open-source simulators for au- tonomous driving.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Choose your sim- ulator wisely: A review on open-source simulators for au- tonomous driving

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.277952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b5e25af1-d9fd-4899-a6e4-626171aba059 · outbound

This paper cites Re- conX: Reconstruct any scene from sparse views with video diffusion model.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Re- conX: Reconstruct any scene from sparse views with video diffusion model

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.269092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9ec36d28-230e-4d87-90b1-eedbf77cd53b · outbound

This paper cites 3DGS-Enhancer: Enhancing unbounded 3D gaussian splatting with view- consistent 2d diffusion priors.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors 3DGS-Enhancer: Enhancing unbounded 3D gaussian splatting with view- consistent 2d diffusion priors

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.259566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 073c23b7-f368-413e-b6bd-81d111bd9390 · outbound

This paper cites Scaffold-GS: Structured 3D gaus- sians for view-adaptive rendering.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Scaffold-GS: Structured 3D gaus- sians for view-adaptive rendering

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.250582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f22346d2-35af-497b-bd8a-089f499d312e · outbound

This paper cites InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcad882c-7f9f-4cae-a62f-1a842bbf9303 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Srinivasan, Matthew Tancik, Jonathan T

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.241379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a8256e54-628a-496d-9022-5b2342a977fa · outbound

This paper cites Recon- Dreamer: Crafting world models for driving scene recon- struction via online restoration.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Recon- Dreamer: Crafting world models for driving scene recon- struction via online restoration

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.232093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 299199b8-cf97-46b8-9e10-930598943f9d · outbound

This paper cites Para-Lane: Multi-lane dataset registering par- allel scans for benchmarking novel view synthesis.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Para-Lane: Multi-lane dataset registering par- allel scans for benchmarking novel view synthesis

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.222734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 99005fdd-fbc6-4e82-8d96-cd1260c4d790 · outbound

This paper cites Nerf on-the-go: Exploiting uncertainty for distractor-free nerfs in the wild.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Nerf on-the-go: Exploiting uncertainty for distractor-free nerfs in the wild

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.213534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3a53af5e-7df7-4e38-a2bd-ed4563be884e · outbound

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

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors High-resolution image syn- thesis with latent diffusion models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.203383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 006fcf9c-a278-4465-ac0c-09afa006c07a · outbound

This paper cites U-Net: Convolutional networks for biomedical image segmentation.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors U-Net: Convolutional networks for biomedical image segmentation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.194135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bd27854c-cbdf-4f68-a31e-7ce120fcb271 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors U-net: Convolutional networks for biomedical image segmentation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.184721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 23f07558-bb75-4546-82f2-83701d3d292c · outbound

This paper cites FreeVS: Generative view synthesis on free driving trajectory.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors FreeVS: Generative view synthesis on free driving trajectory

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.175518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f7ed0f9e-52ac-4a5a-bfe0-83db8fe20897 · outbound

This paper cites Drivedreamer: Towards real-world- drive world models for autonomous driving.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Drivedreamer: Towards real-world- drive world models for autonomous driving

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.165450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 57110e1c-e4b9-4e96-9b67-a85a73b8b2cc · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Image quality assessment: from error visibility to structural similarity

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.155384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 451c8f9a-4b09-4011-b9e8-aaf4a2e9aa0b · outbound

This paper cites Street gaussians: Modeling dynamic urban scenes with gaussian splatting.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Street gaussians: Modeling dynamic urban scenes with gaussian splatting

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.145227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f9c0c7d8-2178-4c22-869c-a56eed4901dc · outbound

This paper cites StreetCrafter: Street view synthesis with controllable video diffusion models.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors StreetCrafter: Street view synthesis with controllable video diffusion models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.135466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a6ed9aa2-09e6-41a4-8a70-532098deee0f · outbound

This paper cites Depth anything v2.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Depth anything v2

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.125129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d7b9d920-490d-4618-8538-82c8e90a6389 · outbound

This paper cites Sgd: Street view synthesis with gaussian splatting and diffusion prior.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Sgd: Street view synthesis with gaussian splatting and diffusion prior

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.115806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f04bfc51-7a54-48d6-9805-6d3ca495ce88 · outbound

This paper cites MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T22:02:22.991689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 207f13a4-1fd5-4ce0-8e4d-9ffef312555c · outbound

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

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Adding conditional control to text-to-image diffusion models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.105428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4c13d505-6c8a-4802-987a-5a7b9ad92b11 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors The unreasonable effectiveness of deep features as a perceptual metric

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T22:02:22.997562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8297c200-5647-48a2-9c46-a9e26fa48152 · outbound

This paper cites DriveDreamer4D: World models are effective data machines for 4D driving scene representation.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors DriveDreamer4D: World models are effective data machines for 4D driving scene representation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.089561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a0cb26ed-eb2c-45ff-89f7-8f5081a586db · outbound

This paper cites Drivedreamer- 2: Llm-enhanced world models for diverse driving video generation.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors Drivedreamer- 2: Llm-enhanced world models for diverse driving video generation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:02:23.079298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.