Pith. sign in

Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:50.052335Z digest=sha256:2a9935680efea0675ca4d5fbbd40f1bfc0404144c813c8f2e147f869a37f0f17

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:50.164503Z digest=sha256:db9e78345c619d5b0bb2542f1ab1047f2e57409fc63f1876b5652296896441ad

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.

source=pdf_text observed=2026-08-07T10:36:50.267289Z digest=sha256:8e7d209cdda4707296633a9cabd48499a7163389649b2924ed13124e46127fec

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:50.379537Z digest=sha256:875583d03b8c29fa5784f54862520e76adacf6bdfeddbd7b5e7bfbb10aef7075

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:50.512814Z digest=sha256:545ca403b5fa510424cf7e2678f07e016814e5b0267ab180c38fb0cff2ba5961

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:50.669101Z digest=sha256:f8c100bfad5187778f5c0887f24800119237b7ccfeddc02bc2ad7be08c536d77

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:50.797609Z digest=sha256:242857fd415b35bcedda4384bbe65cbe3052dda95ff7e849d06ea17c3ef0b36c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:50.909246Z digest=sha256:18b4af6d2fb5f35f5c44b27fb582ec97830d6a260713bff4cc7936ebf54f4a8b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:51.019813Z digest=sha256:1b5d21537cb366ad0cd1cf44254887121ba967c79f8cd402c600cf4368984199

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:51.086970Z digest=sha256:29e54ab2645625fca2c7d24befe44791cee0af03e982287e4402464b42152151

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:51.155473Z digest=sha256:87df203a5a3b4d0cbb58c6ff8b0a4cb33498b2e491712108dad8c1dd11eb2998

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.

source=pdf_text observed=2026-08-07T10:36:51.229621Z digest=sha256:32d2b9081e2f57f37ff2f2cecd4d756410bfd21e4335ef1080013bd6fd127489

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.

source=pdf_text observed=2026-08-07T10:36:51.279875Z digest=sha256:fcca8c3d7af9ac5168955e23dfe23483a96b7691755ede34aedb66acfe857923

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:51.325183Z digest=sha256:3ecb77d0fb9d03600aa3d84a10792a03aeda7967c78bd37daedacf3aef73dc91

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:51.369516Z digest=sha256:48816ac2cf928dd4e3b236a41dd78ed403bb6f2e597598d895565cf7bad247d9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:51.454306Z digest=sha256:d1db9bf13698cd41542996bdc263202621aab63da90d66509cde6667a12d3995

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.

source=pdf_text observed=2026-08-07T10:36:51.513407Z digest=sha256:11aa08db617351ebfdb9bced74c8f06553b5f5b64c2e59485e4d74154d5aa271

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:51.549439Z digest=sha256:695ea25ab939c53fb99c19e7960121543cb997e2b743c9bad1abb0d190941662

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:51.619950Z digest=sha256:327bb0dadaaefe6774b3967f7dd09adf6c43495b2475761df5fed2d430625e0e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:51.708243Z digest=sha256:8c938d4fcec5592ddf64c93f1f6820666941f7a5293ad3144519190bf257017b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:51.747762Z digest=sha256:82f66f14aaa473d4600dadb119a21b10cd78c61dd3419e9841e1ba6d8e6a90a6

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.

source=pdf_text observed=2026-08-07T10:36:51.830617Z digest=sha256:8ec618491956ad32f3d5afbc343b898574f63cea39958f5189e30a008cdb4fbe

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:51.933114Z digest=sha256:c48764c8e03ce822e1bd82bfece1701259c3ae3adf5cf8fe6dab3044429556f5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:52.001020Z digest=sha256:c7483c88b65db818e71963b2717c7abb0b01bd4f7b7ef5427d66f785753d0bed

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:52.098364Z digest=sha256:2226052f8922c9587325de0799c7a74e8270a5cf3058b87746dc11480098c034

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:52.171313Z digest=sha256:02cdc3ecf462eebfc7716b877daeca942cf863144863672ecfdade728deacd5d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:52.254415Z digest=sha256:8561616326e441643df46f3e5b8facb8f71bf748fafb301aa557fbe00b2ce7a7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:52.360160Z digest=sha256:3cac8712952c69497219c77fde4c45bf90f69f899b551c2487a8bc042c7adaa5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:52.465237Z digest=sha256:8e033d925a1cadc80a1ddf1ddc05daf475f967488e15e9d6cf91dc8553d261af

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:52.503337Z digest=sha256:70c432788807c8117b344378946bc0f2c899c320b792cdf70fa087c40492573c

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.

source=pdf_text observed=2026-08-07T10:36:52.549797Z digest=sha256:bc752ed84db90959a16b31b5f9469654b83391429c9d962572848d34ebbd5223

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:52.677159Z digest=sha256:b651a198f9cbe1a1b70aadcb57a3a5b7a574141b176a98dc376e403c4256e977

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:52.772741Z digest=sha256:dfe016ac9233a43e923aa5c9d19c2dbfd84f5175e53e6ee851d058bf8848c76e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:52.827966Z digest=sha256:c77bedb2343a506584fab1f1c7abeea7de03e42404856b803872ca1ad9f323b3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:36:52.937054Z digest=sha256:ab840b41ab4565dc4db1f90f637dae613bd2598fa2d33d40fb4d3cd5081b41d8

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.

source=pdf_text observed=2026-08-07T10:36:53.003154Z digest=sha256:c0975d408c42823e6d3398d343a81fd8770449cbde8d0f67ed5d26f784253eeb

Pith citing papers

No inbound Pith citation observations are available.