Paper Citation Record · LEDGER

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation

As of 7 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2508.20471.

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

pith.paper-citation-record.v1
2508.20471 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:10:33.209354Z

measured 31 of 31 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

31 of 31 outbound references displayed

verified exact0
verified fuzzy25
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 905eeddb-1472-4f72-8cc2-5fd5729c8b3f · outbound

This paper cites A survey on imitation learning techniques for end-to-end autonomous vehicles,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation A survey on imitation learning techniques for end-to-end autonomous vehicles,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.543933Z

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 0b705fbd-7f22-457b-ada1-ba405527a1f7 · outbound

This paper cites Synthetic dataset generation using logical scenario files for automotive perception testing,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Synthetic dataset generation using logical scenario files for automotive perception testing,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.533711Z

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 7a8ec0b1-fd78-4082-86d5-35d6533ece69 · outbound

This paper cites Drivescape: High-resolution driving video generation by multi-view feature fusion,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Drivescape: High-resolution driving video generation by multi-view feature fusion,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.522021Z

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 2a5586fb-5349-4717-8094-c90c7d81f4dc · outbound

This paper cites Panacea: Panoramic and controllable video generation for autonomous driving,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Panacea: Panoramic and controllable video generation for autonomous driving,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.511861Z

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 b39c3483-e5ff-42b4-8f44-8349e5e731ed · outbound

This paper cites Genmm: Geometrically and temporally consistent multimodal data generation for video and lidar,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Genmm: Geometrically and temporally consistent multimodal data generation for video and lidar,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.501577Z

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 a916641f-9f64-4af2-badd-239adfa37d81 · outbound

This paper cites Driveeditor: A unified 3d information-guided framework for control- lable object editing in driving scenes,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Driveeditor: A unified 3d information-guided framework for control- lable object editing in driving scenes,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.491065Z

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 d78ee4d8-a0f3-42eb-8a07-f7b4939f1365 · outbound

This paper cites Driv- inggaussian: Composite gaussian splatting for surrounding dynamic au- tonomous driving scenes,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Driv- inggaussian: Composite gaussian splatting for surrounding dynamic au- tonomous driving scenes,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.479481Z

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 dc0d291f-f680-455b-a5e6-76c0e521815d · outbound

This paper cites OmniRe: Omni Urban Scene Reconstruction.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation OmniRe: Omni Urban Scene Reconstruction

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:33.129062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 792cd068-6fb3-46d4-ada1-9aa54b76cd57 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Scalability in perception for autonomous driving: Waymo open dataset,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.468492Z

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 6e0ac78b-3895-431a-9100-7fea2ba2ff32 · outbound

This paper cites Street-view image generation from a bird’s-eye view layout,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Street-view image generation from a bird’s-eye view layout,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.457407Z

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 74cc7061-e95b-4c8f-8234-10479ffcc098 · outbound

This paper cites Critical test cases generalization for autonomous driving object detection algorithms,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Critical test cases generalization for autonomous driving object detection algorithms,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.447004Z

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 19f873dd-a8db-4953-a486-6cee645e8776 · outbound

This paper cites Subjectdrive: Scaling generative data in autonomous driving via subject control,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Subjectdrive: Scaling generative data in autonomous driving via subject control,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.436516Z

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 7b75f5b1-d4ef-4bcc-a70e-d8bc3cb08e92 · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation High- resolution image synthesis with latent diffusion models,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:33.146892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa5da312-de13-470e-98ac-cbfa8b9a404a · outbound

This paper cites Emu edit: Precise image editing via recognition and generation tasks,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Emu edit: Precise image editing via recognition and generation tasks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.420519Z

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 d64003a4-f956-4387-a77c-c3f009ab983a · outbound

This paper cites A task is worth one word: Learning with task prompts for high-quality versatile image inpainting,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation A task is worth one word: Learning with task prompts for high-quality versatile image inpainting,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.410013Z

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 d72225cc-c355-491d-bc2a-ac7af013f108 · outbound

This paper cites Objectstitch: Object compositing with diffusion model,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Objectstitch: Object compositing with diffusion model,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.399540Z

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 86d4aea4-d9df-42b0-b00a-f84b01d2aacd · outbound

This paper cites Paint by example: Exemplar-based image editing with diffusion models,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Paint by example: Exemplar-based image editing with diffusion models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.389253Z

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 ad6b8b72-590a-4d86-a32c-239d14ccb753 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:33.163248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7b646af-cd71-4b46-b7c4-921b053fb639 · outbound

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

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation 3d gaussian splatting for real-time radiance field rendering.,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.372172Z

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 e72c036a-ebb3-4e5b-a25a-f81cf36cc124 · outbound

This paper cites Mars: An instance-aware, modular and realistic simulator for autonomous driving,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Mars: An instance-aware, modular and realistic simulator for autonomous driving,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.361738Z

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 068c15af-7279-404d-8cc0-4ebd0120abc2 · outbound

This paper cites Unisim: A neural closed-loop sensor simulator,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Unisim: A neural closed-loop sensor simulator,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.351156Z

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 2c25b8cb-d58d-4fd8-857a-945acff1f736 · outbound

This paper cites Lift3d: Synthesize 3d training data by lifting 2d gan to 3d generative radiance field,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Lift3d: Synthesize 3d training data by lifting 2d gan to 3d generative radiance field,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.339741Z

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 a80ca3e0-b72c-471f-a227-18d282a2f259 · outbound

This paper cites Gina-3d: Learning to generate implicit neural assets in the wild,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Gina-3d: Learning to generate implicit neural assets in the wild,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.327878Z

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 9f513980-3714-4943-b1be-083456fd1f5a · outbound

This paper cites Recondreamer: Crafting world models for driving scene reconstruction via online restoration,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Recondreamer: Crafting world models for driving scene reconstruction via online restoration,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.317605Z

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 13a6067d-ea7b-4106-8bbb-c86db92b91da · outbound

This paper cites Animate anyone: Consistent and controllable image-to-video synthesis for character animation,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Animate anyone: Consistent and controllable image-to-video synthesis for character animation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.307141Z

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 8745cfe6-3d37-4af4-954d-91669fdf8d6a · outbound

This paper cites Structured 3D Latents for Scalable and Versatile 3D Generation.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Structured 3D Latents for Scalable and Versatile 3D Generation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:33.191311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90c2691c-88ea-44c8-8523-b591467a20ad · outbound

This paper cites Probabilistic and geometric depth: Detecting objects in perspective,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Probabilistic and geometric depth: Detecting objects in perspective,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.296774Z

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 3281e7ff-a486-4403-9ee8-90290db95089 · outbound

This paper cites Let-3d-ap: Longitudinal error tolerant 3d average precision for camera- only 3d detection,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Let-3d-ap: Longitudinal error tolerant 3d average precision for camera- only 3d detection,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.285936Z

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 a7465d06-f12d-4d09-8700-1511dc757005 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:33.201871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02f4931f-7441-4378-8c7e-eeaebd309ff9 · outbound

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

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation The unreasonable effectiveness of deep features as a perceptual metric,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:33.206123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce799c48-c957-4ef4-b55c-81b7e2545f3b · outbound

This paper cites Animatediff: Animate your personalized text-to- image diffusion models without specific tuning,.

Realistic and Controllable 3D Gaussian-Guided Object Editing for Driving Video Generation Animatediff: Animate your personalized text-to- image diffusion models without specific tuning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:10:33.261458Z

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.