Pith. sign in

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 2026-08-19T06:32:44.657259+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
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:20.293377Z digest=sha256:8c74b357242f2e84810b5966363a17d940b1b96a707b278337103b9b226c1725

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:02:20.329030Z digest=sha256:39618fe7bf6dfcac4da68fc7fdb851b0d95c0f5c0d53bfae0d0f4174a265b4fe

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:20.424433Z digest=sha256:5dc6cc410fe56d7b50244c49488332aa47426bcfe35de4a081353fd2ba21a9a6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:20.486132Z digest=sha256:454e6c05e328de1cadd12e72f54c2ee8353a2fd2a415bf117088549bc4f3882d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:20.545535Z digest=sha256:1657e445fb476e8d037e9fb1f30e6a55d3ded6843219ba9ee8eda43d01634f07

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:20.657081Z digest=sha256:58634f1847b0c0d3752a67c47750fe4fa67803a03d65fb61cedd970da73e38c1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:20.706395Z digest=sha256:932ad3bccce88090aa348f5c438c500034d714331ad41b42cf549aea9200ae71

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:20.767961Z digest=sha256:70921df47097e659e989af5ac7aa0bfc94639dc2cc1411c19f474af383a73907

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:20.830842Z digest=sha256:cc834080621b9d1a8cbc7fc80be76ec26828d37ee0d5c3c34539cc9b5d243894

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:20.871358Z digest=sha256:11274265e0c79ab552b1c8bba83a89633a4a0e83989ace83b97e4d7f23aed2b6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:20.961256Z digest=sha256:f9b6941f211ea72ccda9f37bec3b17659bc2c0ca0fd535c50a78952b0ba26480

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:21.024007Z digest=sha256:57931086a7e55b430259e11292c27317a7f4176bdb03443ff2a8c5d098ab27ca

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:21.106185Z digest=sha256:aa36cef2bc655c8f93b3b59909c161c461ede64c4324aa465a8dd0aa70134080

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:21.186189Z digest=sha256:cdfb77cd1cdf1b1be427abfea03ef59256adbd1d262e6850c3ea57203a80ce4e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:21.247753Z digest=sha256:0db576bd747d80fa3d3f8b09dc3dc1f84aa9f48bc27b58483a5dc7421d1d211b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:21.314879Z digest=sha256:4316f50b1938997842ebc5746d7ae568cea14984ad303b12ac06fc3488024d3f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:21.377491Z digest=sha256:9123efa89eab479a5e312c181a5ce3ef1e2d863e60fe4e65c55916ed4c48dd3f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:21.463441Z digest=sha256:13ac8e9e88812ff1918e856db582e5e21b65d856417a61deea30a61fc1006159

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
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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:21.630741Z digest=sha256:c3b34e2ad554f7b41f2ff79435619484cd0e22b5ca5a9ff0c5e429563d85e465

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:21.733540Z digest=sha256:025bf96cd6bd1d6488ebd260401cbe04feccca043c4c075819d06b33ff5ba1b8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:21.737392Z digest=sha256:0d679f4d60fc798c449514083c4afce0d48f33ed9bef9b1a1fe05229e87be601

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:21.782917Z digest=sha256:45cea2591fde0239b4e97c9dec35f3c99c6ecbf7c5092da1451d812fea4bb23c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:21.879896Z digest=sha256:9304affe854b009f8a1991000495b37477dfd9f883e4f7e6315cb18bab307abe

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:21.948343Z digest=sha256:5f6c0927d80f3e21cbe1a5a70d6d042dcaa1b8619546f186def14e549e6f2367

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:22.072306Z digest=sha256:553f99314bf370644322f3314ecec6167e4e8142bf5e992d2688d59474eebd5c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:22.148146Z digest=sha256:5ad0150a55c5181a09d15e88ff036f4596ddd29aa60b97a3db28d746b712c528

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:22.378484Z digest=sha256:fef1d1c6d1613a6cb66aabcdcf4fc2510234af64661529977580daafadafaabc

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:22.535334Z digest=sha256:d8fa498190236a8d5a9f7fc42ead30fc1352bb97b2595376af4953d5c5587879

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:22.738416Z digest=sha256:78c11cf310d6114578d45650e50c24562d57753a27e84a7d20e22f74d034196b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:22.901306Z digest=sha256:a828e8e170fa8a539d2ae22319499846b217a5be86f874e39fc668239b48e525

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:22.983801Z digest=sha256:fa765228aa6c44ae69b5659c2b60e4209fae293945d4ed4748847e58f2eee7c9

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:22.988930Z digest=sha256:a54af2aadae56759d5b36a6ba024d86d55e2b6b1e67861ff0d09a863be4c33d1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:22.994545Z digest=sha256:ff8f2d82e143ea56d4803a19af5d4a5844b554a2ebe730f6ca8823efcf6e37bf

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:23.000615Z digest=sha256:7cfb16c9e1095a96ab392e37fa5e1162cd65c7f2b29211edb2254e63ab6c8399

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:02:23.003764Z digest=sha256:dfa962d74d1c78aed2bdcd295661f52e2ec455621e49287a7b47a9f61e3bc06c

Pith citing papers

No inbound Pith citation observations are available.