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Paper Citation Record · LEDGER

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation

As of 13 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2507.23683.

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

pith.paper-citation-record.v1
2507.23683 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:34:07.382158Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved17
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bf26c437-b59d-461b-ad00-731ede0fc2f0 · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation nuscenes: A multi- modal dataset for autonomous driving

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 17c6bd73-1bb2-4500-a976-2fa1b849ec0d · outbound

This paper cites End-to-end autonomous driving: Challenges and frontiers.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 2024.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation End-to-end autonomous driving: Challenges and frontiers.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 2024

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 44f9517a-0673-4218-81c6-382c63a575d3 · outbound

This paper cites MagicDrive: Street View Generation with Diverse 3D Geometry Control.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation MagicDrive: Street View Generation with Diverse 3D Geometry Control

Reference 3

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Observation f3dc2fff-6f5d-415e-b217-ccc8f1793fe9 · outbound

This paper cites Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability

Reference 4

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source=pdf_text observed=2026-08-06T10:34:02.866016Z digest=sha256:8ffc322fa0e601acaaa37713ebe313236c21409e2fc3543916b6db13549d6013

Observation 0d369dbf-5cc4-4ec9-a8f0-33320f1327f1 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30, 2017.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30, 2017

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:03.022783Z digest=sha256:8d4d343549ad3ac416449477a747da87debc2938179dd1e48276c62ff97466fa

Observation b7bd80b3-f275-4308-997f-9c0b0ec629c7 · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation GAIA-1: A Generative World Model for Autonomous Driving

Reference 6

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source=pdf_text observed=2026-08-06T10:34:03.109780Z digest=sha256:69e3dcb8aa6cd65e752e07433fb1cee34f4d2444af2eaba8f347c2a16b1cb921

Observation d7e4f95a-933d-4e7f-b77c-c94f1cb55497 · outbound

This paper cites St-p3: End-to-end vision-based au- tonomous driving via spatial-temporal feature learning.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation St-p3: End-to-end vision-based au- tonomous driving via spatial-temporal feature learning

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation fc0a0e70-811e-4873-9e32-32e510c127fa · outbound

This paper cites Planning-oriented autonomous driving.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Planning-oriented autonomous driving

Reference 8

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raw_fallback, observed 2026-08-06T10:34:12.938468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:34:03.390152Z digest=sha256:a89b00fba4291960df5e88d25ad3af29a6fe222c5727bf2cd0914afadb72c08e

Observation 344e2d22-5021-4154-96fd-4d3196bdfc18 · outbound

This paper cites $\textit{S}^3$Gaussian: Self-Supervised Street Gaussians for Autonomous Driving.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation $\textit{S}^3$Gaussian: Self-Supervised Street Gaussians for Autonomous Driving

Reference 9

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source=pdf_text observed=2026-08-06T10:34:03.538958Z digest=sha256:2aed4bd55d15f14ab0a8e22002d1e9f5a2db6f3a7e090c75b6b0bf7c14bc6736

Observation dbe9354d-4453-449b-a3ec-6805ee7aeade · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42 (4), 2023.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42 (4), 2023

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a46940ac-d40c-4f1f-adb0-c4cdffaa2a6e · outbound

This paper cites Adam: A Method for Stochastic Optimization.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Adam: A Method for Stochastic Optimization

Reference 11

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source=pdf_text observed=2026-08-06T10:34:03.829387Z digest=sha256:f7dbe626dd8015da02ad1e81d937507b8965632c8245a0fd9e5688cb9fbe23be

Observation d833571b-4e1b-470f-950c-582c8e85c82d · outbound

This paper cites Dngaussian: Optimizing sparse-view 3d gaussian radiance fields with global-local depth normaliza- tion.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Dngaussian: Optimizing sparse-view 3d gaussian radiance fields with global-local depth normaliza- tion

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:34:12.467419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:34:03.984304Z digest=sha256:1c24293f8124ed07326e04e82fca1aa5d840a000627de6149a4223264a1d566f

Observation e5ba0fed-ee3f-47e4-9a9b-979eca6c210f · outbound

This paper cites Learning distilled collaboration graph for multi-agent perception.Advances in Neural Infor- mation Processing Systems, 34:29541–29552, 2021.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Learning distilled collaboration graph for multi-agent perception.Advances in Neural Infor- mation Processing Systems, 34:29541–29552, 2021

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:34:12.264568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:34:04.140223Z digest=sha256:0714eb649ba6c4193bafdc9aa3288c790f0287997956725d943b01542dfdaad8

Observation 00b74dc2-88d0-48db-ada1-6fd904d402b3 · outbound

This paper cites A survey on autonomous driving datasets: Statistics, annotation quality, and a future outlook.IEEE Transactions on Intelligent Vehicles, 2024.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation A survey on autonomous driving datasets: Statistics, annotation quality, and a future outlook.IEEE Transactions on Intelligent Vehicles, 2024

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:04.269717Z digest=sha256:054ae69ad7437a8ddca501b9c0b5e86fc8aaf3a603ede5a5568b88291069b00e

Observation 4103d6e2-601d-490f-bfca-09ee06693c98 · outbound

This paper cites Deceptive-nerf/3dgs: Diffusion- generated pseudo-observations for high-quality sparse-view reconstruction.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Deceptive-nerf/3dgs: Diffusion- generated pseudo-observations for high-quality sparse-view reconstruction

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:34:11.989721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:34:04.372294Z digest=sha256:2f31721a0e5a74cdad0f35b14819066aa6fb6f6fb3ffd13f8f0ec5fe3261aa1f

Observation 537a776d-7375-4b01-a6f2-071c1a074577 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:04.526302Z digest=sha256:1b0e254ebec7ea718fd058288ba4d1a98429eb9957e34b9fd01c659deaba1e2e

Observation 72d3a69b-48b4-453a-9473-b34be04cf5e7 · outbound

This paper cites ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:04.667244Z digest=sha256:7f931ea606d2a86482cd9896be1c1b17eee8d67aba3afc0e1176f6edb137129d

Observation 97955872-5234-4575-a245-52d0b1684d92 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation DreamFusion: Text-to-3D using 2D Diffusion

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:04.784741Z digest=sha256:c031c84afbe9e1901b5a2f58fc5e56c4b20d5aea0a09d18e714bed1d6eb0e079

Observation 7dab8224-4c47-4c83-96a5-9bf4520199dc · outbound

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

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation High-resolution image syn- thesis with latent diffusion models

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-06T10:34:11.742434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:34:04.915349Z digest=sha256:4eb26525a58557889da04fed292b0c86b0576f9d7c24c706875c930ac3fdffd7

Observation 92c13bdc-4bb8-4aeb-bec9-6e8581f5d0f3 · outbound

This paper cites an unresolved cited work.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Unresolved cited work

Reference 20

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:34:05.056649Z digest=sha256:e6dc52a1c016145c88e391bd068f0e44f5d7a626ae91a629aae168a798ec6e31

Observation f00dd72d-afcc-43a0-97ba-4de8c46289e5 · outbound

This paper cites Scalability in per- ception for autonomous driving: Waymo open dataset.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Scalability in per- ception for autonomous driving: Waymo open dataset

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-06T10:34:11.142180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:34:05.182191Z digest=sha256:5cb3937b3e9c2a4bfb8d8de471a97fa452776e36e96e828f9a08a850426680b0

Observation a5c0cd52-121c-41c1-8ac7-8850fb4e680b · outbound

This paper cites Street- view image generation from a bird’s-eye view layout.IEEE Robotics and Automation Letters, 9(4):3578–3585, 2024.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Street- view image generation from a bird’s-eye view layout.IEEE Robotics and Automation Letters, 9(4):3578–3585, 2024

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:34:05.295929Z digest=sha256:9274f38fa783905c4bb2867f5e6fc7e74595f49391ede9c81a2342229bd5be37

Observation d222465d-9a14-4fb1-99a2-4d231c490ede · outbound

This paper cites Srinivasan, Jonathan T.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Srinivasan, Jonathan T

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-06T10:34:10.694423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:34:05.460137Z digest=sha256:0db95413455a0cccfa265a9dc535ded75e5e65137a0d770ddf0c396ec1873841

Observation fdc647a7-8144-493b-ba8e-d4b4767ab4a4 · outbound

This paper cites Zhang, Francesco Ferroni, and Deva Ramanan.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Zhang, Francesco Ferroni, and Deva Ramanan

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:34:10.365828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:34:05.610502Z digest=sha256:1b4d2821c4b70783e8377ab3e97e26f1ce61609ef776f06f31dcf5444a2b935c

Observation a1a46503-5a1c-419b-921d-69e7d498b200 · outbound

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

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Drivedreamer: Towards real-world- drive world models for autonomous driving

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:34:10.078005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:34:05.720310Z digest=sha256:6866d400e216357b1e5361c980a436517da8dd82d9d20298eb314081090dda19

Observation 5b80a981-b1aa-4328-ac20-706aa8dd1265 · outbound

This paper cites Driving into the future: Multiview visual forecasting and planning with world model for au- tonomous driving.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Driving into the future: Multiview visual forecasting and planning with world model for au- tonomous driving

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:34:09.809098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:34:05.848692Z digest=sha256:3753b590d88128acec8f9cb9960fffd38a6749505dff66f259cdf138c300027b

Observation b05eaa42-fb0d-4b26-8874-4ec3dcc3b0ab · outbound

This paper cites Privacy of autonomous vehicles: Risks, protection methods, and future directions.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Privacy of autonomous vehicles: Risks, protection methods, and future directions

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:34:09.492654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:34:05.950754Z digest=sha256:fc84b4ca055ba64e822f17e7dbe190a449fc38883615acd0b1d0be71e4117e5b

Observation 7e1a61c3-604c-457d-85cf-6560521f47b2 · outbound

This paper cites SparseGS: Sparse View Synthesis using 3D Gaussian Splatting.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation SparseGS: Sparse View Synthesis using 3D Gaussian Splatting

Reference 28

Resolution
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no resolver link, observed 2026-08-06T10:34:06.065695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:06.065695Z digest=sha256:077503f86b09de4de81756fc5b8684a825e5128cec92c969bbc8c6b59eccd16f

Observation 3e1d47cf-0a6b-4a39-8fa0-e3b846a54836 · outbound

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

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Street gaussians: Modeling dynamic urban scenes with gaussian splatting

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:34:09.213037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:34:06.160988Z digest=sha256:840d2dbdfa98e84c9cd3b84d7b88dd189a335389697ed51fab1397a90c707986

Observation fe265d01-e1c4-476b-9fc2-74471a9c5b6a · outbound

This paper cites StreetCrafter: Street View Synthesis with Controllable Video Diffusion Models.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation StreetCrafter: Street View Synthesis with Controllable Video Diffusion Models

Reference 30

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unresolved
no resolver link, observed 2026-08-06T10:34:06.320554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:06.320554Z digest=sha256:a0dd39aad241d787d9dc0bd1b9ba5b785401209f9f9d85bc144c3f7ec51975a4

Observation a3e67915-9bef-4d54-bbd6-93cda1122294 · outbound

This paper cites Generalized predictive model for autonomous driving.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Generalized predictive model for autonomous driving

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:34:08.922704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:34:06.473529Z digest=sha256:2c87b8eac2194c506fda12ba4183a0b4a2f829281826f85b44004669334fb90b

Observation 5cf687fb-9312-4242-89fb-4f80ee96027c · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Depth anything: Unleashing the power of large-scale unlabeled data

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:34:08.626600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:34:06.614664Z digest=sha256:4bf575c205875d90996df4e98e8becccd993ad43a81ea4088658d7be5587bef6

Observation 9e0d9b0d-d6e2-43b4-877e-0117206bcc88 · outbound

This paper cites Depth any- thing v2.Advances in Neural Information Processing Sys- tems, 37:21875–21911, 2024.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Depth any- thing v2.Advances in Neural Information Processing Sys- tems, 37:21875–21911, 2024

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T10:34:06.757207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:06.757207Z digest=sha256:ea73ba092d54f4ebe4f633e99b67c5144fc853d2c7abb69ad61e7953b130ac42

Observation 5f16a775-f704-46d8-b250-f16e588ab5ca · outbound

This paper cites Driving View Synthesis on Free-form Trajectories with Generative Prior.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Driving View Synthesis on Free-form Trajectories with Generative Prior

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T10:34:06.894718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:06.894718Z digest=sha256:c61a479ebd15208523d7b55dccea935da699c14ac193ce8f6c4b4b4fcc52210e

Observation 09faccfe-d537-4246-8c0a-77dd8f0af8b7 · outbound

This paper cites Dair-v2x: A large-scale dataset for vehicle-infrastructure cooperative 3d object detection.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Dair-v2x: A large-scale dataset for vehicle-infrastructure cooperative 3d object detection

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:34:08.391288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:34:07.027057Z digest=sha256:1e5f6a14b83cf91422f50791441598cacd5104c550f6c965f513e32262be16dd

Observation 541bd337-bbdd-464a-a6f0-aeb36453474d · outbound

This paper cites V2x-seq: A large-scale sequential dataset for vehicle-infrastructure cooperative perception and forecast- ing.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation V2x-seq: A large-scale sequential dataset for vehicle-infrastructure cooperative perception and forecast- ing

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:34:08.122316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:34:07.154375Z digest=sha256:c9c6446eedc6e47a4368ca63ab488bdb048ad9afd940709fd01eac93ec9c26f2

Observation b7a41776-8d75-4bba-a626-eccb28774b1f · outbound

This paper cites DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T10:34:07.266895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:07.266895Z digest=sha256:0359b102280dee6172efa124927c4bd6333b391cc7bdacf9f2fb04a4b10f8f21

Observation 4aebf429-fd6d-43dc-bedb-f1e5263fc9a4 · outbound

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

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Drivinggaussian: Composite gaussian splatting for surrounding dynamic au- tonomous driving scenes

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:34:07.871646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:34:07.382158Z digest=sha256:cf42b914881971f1fea47eafa658bd7c1cefc106ab4add7fe198a5196fe2f76f

Pith citing papers

No inbound Pith citation observations are available.