Paper Citation Record · LEDGER

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer

As of 23 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2506.04908.

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

pith.paper-citation-record.v1
2506.04908 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:36:53.003154Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

36 of 36 outbound references displayed

verified exact0
verified fuzzy28
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c80df808-6a1a-43d1-b817-15416dfe5a37 · outbound

This paper cites Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:54.047425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 92fa5731-9367-4a3b-aa9e-6b64d2e0fb08 · outbound

This paper cites Barron, Ben Mildenhall, Dor Verbin, Pratul P.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Barron, Ben Mildenhall, Dor Verbin, Pratul P

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:54.037483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2759eb02-5d52-4c85-8946-388b3a8d2ead · outbound

This paper cites Pyramid stereo matching network.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Pyramid stereo matching network

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T10:36:50.267289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e8305bf-054e-4852-bcb3-cc4d9eef71e4 · outbound

This paper cites Pgsr: Planar-based gaussian splatting for efficient and high-fidelity surface reconstruction.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Pgsr: Planar-based gaussian splatting for efficient and high-fidelity surface reconstruction

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:54.020665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ef83bb6e-eabc-48ce-b1c6-94b35d323691 · outbound

This paper cites High-quality surface recon- struction using gaussian surfels.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer High-quality surface recon- struction using gaussian surfels

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:54.010759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5a1d20bf-b6e7-46fd-b4ba-4260a0087187 · outbound

This paper cites Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.999701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c77cad0f-b64b-41ce-ab1a-824caae8d9a5 · outbound

This paper cites Dsec: A stereo event camera dataset for driving scenarios.IEEE Robotics and Automation Letters, 6:4947– 4954, 2021.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Dsec: A stereo event camera dataset for driving scenarios.IEEE Robotics and Automation Letters, 6:4947– 4954, 2021

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.988279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 24fba60a-ca27-403a-9466-1b5278553c10 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.2012 IEEE Conference on Computer Vision and Pat- tern Recognition, pages 3354–3361, 2012.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Are we ready for autonomous driving? the kitti vision benchmark suite.2012 IEEE Conference on Computer Vision and Pat- tern Recognition, pages 3354–3361, 2012

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.976973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 30633620-45e0-4756-b1f7-4f04fd2812e9 · outbound

This paper cites Vision meets robotics: The kitti dataset.The In- ternational Journal of Robotics Research, 32:1231 – 1237,.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Vision meets robotics: The kitti dataset.The In- ternational Journal of Robotics Research, 32:1231 – 1237,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.966092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cb59b7de-8613-45c6-9441-a26eacdea806 · outbound

This paper cites Moeslund.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Moeslund

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.955269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ab1fea4d-a25d-46e8-880e-6e4bf1090184 · outbound

This paper cites Accurate and efficient stereo processing by semi-global matching and mutual information.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Accurate and efficient stereo processing by semi-global matching and mutual information

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.944369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f2f11d5b-0c45-49e3-ad83-9064f8b5d646 · outbound

This paper cites an unresolved cited work.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T10:36:51.229621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbd8e3e5-c192-4976-9c5c-389aa37bc284 · outbound

This paper cites 2D Gaussian Splatting for Geometrically Accurate Radiance Fields.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer 2D Gaussian Splatting for Geometrically Accurate Radiance Fields

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:36:51.279875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11bc2646-0533-4bfe-9d5b-9a6e408412d8 · outbound

This paper cites A stereo matching algorithm based on the improved psmnet.Plos one, 16(8):e0251657, 2021.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer A stereo matching algorithm based on the improved psmnet.Plos one, 16(8):e0251657, 2021

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.926972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a6653d13-b86c-47ac-8a94-e4aa6ace61eb · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics (TOG), 42:1 – 14, 2023.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics (TOG), 42:1 – 14, 2023

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.916830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e02c5e70-c3d3-43df-8397-70c1c5c2d152 · outbound

This paper cites Revisiting stereo depth estimation from a sequence- to-sequence perspective with transformers.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Revisiting stereo depth estimation from a sequence- to-sequence perspective with transformers

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.906117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 70c19b35-b888-457f-83aa-8dfe851b82cc · outbound

This paper cites Adfactory: An effective framework for gen- eralizing optical flow with nerf.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Adfactory: An effective framework for gen- eralizing optical flow with nerf

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:36:51.513407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e807dd2-1d32-4dff-9c7f-9276b6e412b8 · outbound

This paper cites Raft-stereo: Multilevel recurrent field transforms for stereo matching.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Raft-stereo: Multilevel recurrent field transforms for stereo matching

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.887291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7ce6c642-8bcd-4b73-bd65-003b9e65d483 · outbound

This paper cites an unresolved cited work.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:36:53.877390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f65c8fad-1741-4c90-9c3d-c89a09c9dcb1 · outbound

This paper cites Menze, C.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Menze, C

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.867868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7c478f98-f2ca-4a08-a29e-6ca06218e34f · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Srinivasan, Matthew Tancik, Jonathan T

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.859021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4f7d30a1-5c33-400e-93c8-bf1dc0547a10 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer DINOv2: Learning Robust Visual Features without Supervision

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T10:36:51.830617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a154ed4b-d4eb-456f-aea3-6bbc2f0acfa1 · outbound

This paper cites Self-evolving depth-supervised 3d gaussian splatting from rendered stereo pairs.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Self-evolving depth-supervised 3d gaussian splatting from rendered stereo pairs

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.849310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4c2a75ca-0b76-449d-b115-1e67cfb40c80 · outbound

This paper cites High-resolution stereo datasets with subpixel-accurate ground truth.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer High-resolution stereo datasets with subpixel-accurate ground truth

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.838520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c5fa0f3b-a1a5-4948-ac9d-ed75394a05b1 · outbound

This paper cites Structure-from-motion revisited.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Structure-from-motion revisited

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.827372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6b42c46f-3c41-4e33-a92c-73824090b9ea · outbound

This paper cites Pixelwise view selection for un- structured multi-view stereo.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Pixelwise view selection for un- structured multi-view stereo

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.816165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 96ebc66c-54b1-4ff5-90b4-7b1d9d428c79 · outbound

This paper cites Sch ¨onberger, S.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Sch ¨onberger, S

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.806052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6f2eac41-692c-4531-ab67-df227e20af7a · outbound

This paper cites Raft-3d: Scene flow using rigid- motion embeddings.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Raft-3d: Scene flow using rigid- motion embeddings

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.796381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 42fe5745-7a6b-46b2-89ba-def8af800f31 · outbound

This paper cites Nerf-supervised deep stereo.2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 855–866, 2023.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Nerf-supervised deep stereo.2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 855–866, 2023

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.786145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6aa4334f-0985-4e3d-bf05-1574a25a6008 · outbound

This paper cites Selective-stereo: Adaptive frequency information selection for stereo matching.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Selective-stereo: Adaptive frequency information selection for stereo matching

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.775081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 20b48ab6-a37a-42b5-9f64-1e9bcf6cc54f · outbound

This paper cites Croco v2: Improved cross-view completion pre- training for stereo matching and optical flow.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Croco v2: Improved cross-view completion pre- training for stereo matching and optical flow

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T10:36:52.549797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60619e93-7305-4839-9824-07c667cd6bb9 · outbound

This paper cites Foundationstereo: Zero- shot stereo matching.arXiv, 2025.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Foundationstereo: Zero- shot stereo matching.arXiv, 2025

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.721830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a702221f-9901-48a4-bd1e-cabf8fa47c9b · outbound

This paper cites GS2Mesh: Surface reconstruction from Gaussian splatting via novel stereo views.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer GS2Mesh: Surface reconstruction from Gaussian splatting via novel stereo views

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.548534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1b4fdd21-4df5-4791-a48e-c0678f316f06 · outbound

This paper cites Iterative geometry encoding volume for stereo matching.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Iterative geometry encoding volume for stereo matching

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.352476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9b39f117-b895-45cf-8f76-7dea14d98bda · outbound

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

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Depth any- thing v2.Advances in Neural Information Processing Sys- tems, 37:21875–21911, 2024

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:36:53.207249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b1fa5f4e-2cd7-46c5-8087-c4242ebcebd0 · outbound

This paper cites Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes.

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T10:36:53.003154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.