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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-18T06:34:40.430872+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

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  • verified fuzzy34
  • unresolved5
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  • malformed identifier0
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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
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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.

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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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no resolver link, observed 2026-08-06T22:02:20.329030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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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.

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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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:20.486132Z digest=sha256:21b3d70e849bc1e750bd2951fcde1a715d4d40cf17f437a668dcc20e8bc4e810

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:20.545535Z digest=sha256:748226b437afb0b417841099c23bef7eb4aab71e4bdd8557fe05a09c7d1d070b

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:02:20.604125Z digest=sha256:b61a79789523e876b248b58fe4a3c34cb56a94dd1767a7954d6fc213a2180baf

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:20.657081Z digest=sha256:db7f864993bd72343e22d3c175d9a1a29fcf2ccf5ccad5a0d0bf00e36075f6f7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:20.706395Z digest=sha256:7f3cf082d547f158b8cd561aa6cbb6b14d5cdc8c9265c9a9168e7d9357fa55f7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:20.767961Z digest=sha256:5445aa167187ebcf20dc8c1cc9920e3dfa199297f5194afe57863e631c8543fb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:20.830842Z digest=sha256:a4730a21cd1293e19e30a60cd2200524b63d7464ac4f61f1b5ea82e6513e5a62

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:20.871358Z digest=sha256:ada06cbc420cb2911486ce27b179bf6fd67f5de23cf28c8cfda9436c3899ce29

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:20.961256Z digest=sha256:bf52511c319ea967716c1b219c8acb66cafdaea4eec58cf38606ca018905ec67

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:21.024007Z digest=sha256:97591673bb343198ac3b1b3fdfcb5dd2c8ed4d4032bc1d040ee5afa5f6e34ed7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:21.106185Z digest=sha256:02d71594b3ba84e9e24fad1b444ba6774ad70b9fd9e2f8136e6c01b657af7a74

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:21.186189Z digest=sha256:09c3316930265b49cffcc613b1782bb5b3b4cc783be3412349a825e634ee245c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:21.247753Z digest=sha256:145cffa10305b545a623547f0d83053f175ffc837763c1896d6288c5bef13af6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:21.314879Z digest=sha256:ac531674058569a5f60e1ffc1a30019a0fa93547785142849d571d74fefaf43d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:21.377491Z digest=sha256:1d9323a5e1c1318a60d976d1c30c9546343dc0684085ef2a474509d64a5c7e73

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:21.463441Z digest=sha256:cb10d00ec83d58fe1d188cbeb25ae66cec9b3ca21de7d909a34cfc5bd5e38ddc

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:02:21.555143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:02:21.555143Z digest=sha256:c6810d4cce746f9d8a156c9f828c87560b50a5a1f025a8dbab6e7920819b4921

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
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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:21.630741Z digest=sha256:f32b691a7c5d6225681515165536171e9e5e2fe7fcde9f3875bb216b7fe0e999

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:21.733540Z digest=sha256:55dfe9601412d9eb40190b4b39cbee4542c0e00f0c3db2f0ad80cb710c52ab38

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:21.737392Z digest=sha256:4e0629c77bbcabaa370abddd4f43b0b1833d4350a54bb91b62be557b11aad42b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:21.782917Z digest=sha256:5dfcc09daf029ebf66423f00d1c2ef9a41a4939b4bffedc6a966f7ed96bd9b8a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:21.879896Z digest=sha256:9c2408a93993e352b301bde1074959d3addfd2d09b1b2bfc925dc5e9e1a84dd1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:21.948343Z digest=sha256:24de85bbeb1716949d03d39367d75a5ab35d33a327825f80ccee077888b1c1b6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:22.072306Z digest=sha256:81fb47e5ce8bfdf51fa2a387c0968487ffbb098f71dce19b579914afaef3de46

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:22.148146Z digest=sha256:49c58d1b210bcccbd74a2fdbd484b7601716196f55f39d9848e7f2e7a9fa0584

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:22.378484Z digest=sha256:7ab21400e6d9a9b6fdf93a870f3901b69fa06bb194bb86fca85be6499a1796c6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:22.535334Z digest=sha256:d4f6e90be50c1784a6bca3d7c584840b1b5644f2c4d49e4b605eaaefebc9e630

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:22.738416Z digest=sha256:cdf846c0b88b72458790d11ad987c71b28b33ab595988e2f0b3b21e1071abdb1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:22.901306Z digest=sha256:7aacd6578cf75c3902a9ed2f52e1144357664c5f3908dde26d2b7c7df148685f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:22.983801Z digest=sha256:f08a340966279d9b835b8c01cd31c9b83ba58e7dfa252f33168a12c7ffe3202a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:22.988930Z digest=sha256:8b889810a9743b1a6c76f903359e6651b3a31f1190890d2d52b20d71a7e5d1a0

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.

source=pdf_text observed=2026-08-06T22:02:22.991689Z digest=sha256:9ebe5c4b78ad87da48ac0a420ff471c8fdeba943c79f10a0928bf7d5854f14ad

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:22.994545Z digest=sha256:4ec1e5f03612ace5ba7957da9cd5371c3ecae171f5573790a945adafe5d6a697

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.

source=pdf_text observed=2026-08-06T22:02:22.997562Z digest=sha256:364ad2a34d182c57d028aa868b8dee563a110c830187905b412b29b495e43bbb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:23.000615Z digest=sha256:bdc195f8e520dfb18978357b133cfc17b789e7b03a259f8268b698d0c5025a69

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:02:23.003764Z digest=sha256:f0668a88762e166ab4b00fa88f4853d70508dc0d0a7524cd0f1cc590e5f0a91a

Pith citing papers

No inbound Pith citation observations are available.