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Paper Citation Record · LEDGER

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes

As of 21 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2411.12309.

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

pith.paper-citation-record.v1
2411.12309 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:47:46.851108Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:54:04.746503Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 013374cb-9a30-4275-9724-7eff3016ad8c · outbound

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

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 1

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Source-reported events for the cited work

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Observation afb2b659-60de-46fc-acad-e7b3afa49fa3 · outbound

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

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes 3d gaussian splatting for real-time radiance field rendering,

Reference 2

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source=pdf_text observed=2026-08-12T17:47:46.636282Z digest=sha256:95267b8f5b88f0d747ebf7cb8e6e668662483e66afc129739a90295d5434ac2e

Observation 1e6cd099-347f-4072-8bbe-323e42624f97 · outbound

This paper cites Waymo open dataset: An autonomous driving dataset,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Waymo open dataset: An autonomous driving dataset,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-12T17:47:47.508623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T17:47:46.641647Z digest=sha256:8dd7725ddc6cf5c9472d6ded5c2aeaf8305593fb9c58501a2c9fe3fca12a5164

Observation 14d71616-f9a0-49d4-ba21-0634b7d75180 · outbound

This paper cites Nerf2real: Sim2real transfer of vision-guided bipedal motion skills using neural radiance fields,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Nerf2real: Sim2real transfer of vision-guided bipedal motion skills using neural radiance fields,

Reference 4

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no resolver link, observed 2026-08-12T17:47:46.647311Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T17:47:46.647311Z digest=sha256:1f77d77db28559ff7d1c0858fc648c832d50ebc7d61569727134af0436b127a3

Observation f0fe2c3e-1a11-4b01-83bb-0c450b9bd56f · outbound

This paper cites Renderable neural radiance map for visual navigation,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Renderable neural radiance map for visual navigation,

Reference 5

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raw_fallback, observed 2026-08-12T17:47:47.480105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T17:47:46.652482Z digest=sha256:5f7e038f1a105422a7c9181054bdf11da344fdb50703489d5bce46d33b6520cc

Observation c4a8313b-a38b-4910-be5f-ffdbd671b0b1 · outbound

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

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Dngaussian: Optimizing sparse-view 3d gaussian radiance fields with global-local depth normalization,

Reference 6

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source=pdf_text observed=2026-08-12T17:47:46.658421Z digest=sha256:d1bacf5e784316fd50cc347d12c6f6fc82c507d670ded632d2d7e4aabfa5c2aa

Observation 2e71f9a6-689f-48a3-bbaa-f471ef1c9922 · outbound

This paper cites FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting

Reference 7

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source=pdf_text observed=2026-08-12T17:47:46.664353Z digest=sha256:176f2a80102115acd109d1602c9cc4fd106b3f7f26908a1d7c7d95a5435f4dc1

Observation a698d9b1-11bd-4650-9663-d0871ef2d956 · outbound

This paper cites Multiplane prior guided few-shot aerial scene rendering,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Multiplane prior guided few-shot aerial scene rendering,

Reference 8

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raw_fallback, observed 2026-08-12T17:47:47.452084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T17:47:46.669643Z digest=sha256:3699d5bc954501e8c9c495829b740ae0adb90f94e894c1c2aea88821fb5cbccf

Observation bf57ae18-7dfa-40b5-8b5d-72965caff8b5 · outbound

This paper cites VastGaussian: Vast 3D Gaussians for Large Scene Reconstruction.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes VastGaussian: Vast 3D Gaussians for Large Scene Reconstruction

Reference 9

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source=pdf_text observed=2026-08-12T17:47:46.674457Z digest=sha256:acc6cb91b75d419c6cc24d7a54b802bc0b7403502b0408a4ab7c50fcabaafbe1

Observation 2f98c0b5-b96c-4112-b097-90f5c7115282 · outbound

This paper cites DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus

Reference 10

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source=pdf_text observed=2026-08-12T17:47:46.679450Z digest=sha256:291b78f6c3e0a49a2f1dc3529d62ac8281a3364c7cebca4d52266b2ac318d5fd

Observation 811679e4-d95a-4114-8992-9434b7b6d79d · outbound

This paper cites Sparsenerf: Distilling depth ranking for few-shot novel view synthesis,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Sparsenerf: Distilling depth ranking for few-shot novel view synthesis,

Reference 11

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source=pdf_text observed=2026-08-12T17:47:46.684546Z digest=sha256:de650e1e3858f70fced228d61dec219a383ae4bb42baf109f66644ded2eb2eb4

Observation c4b317a9-cf1d-4836-b51f-49e8747ae927 · outbound

This paper cites Freenerf: Improving few-shot neural rendering with free frequency regularization,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Freenerf: Improving few-shot neural rendering with free frequency regularization,

Reference 12

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source=pdf_text observed=2026-08-12T17:47:46.689662Z digest=sha256:fff6bef5fd79d58c9b2eb7634a10345cf68f39302e527d231a0920325dc10a5b

Observation 800d1f94-2de4-4210-85d9-7bc25001a641 · outbound

This paper cites Learning to render novel views from wide-baseline stereo pairs,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Learning to render novel views from wide-baseline stereo pairs,

Reference 13

Resolution
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raw_fallback, observed 2026-08-12T17:47:47.412882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T17:47:46.694649Z digest=sha256:d12a7048a49337272fb14ea822bdc2165d9ae48ea863bb12e0ac174dbd070ece

Observation db1c40ea-9956-48b3-85c2-97f5528d6bba · outbound

This paper cites Regnerf: Regularizing neural radiance fields for view synthesis from sparse inputs,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Regnerf: Regularizing neural radiance fields for view synthesis from sparse inputs,

Reference 14

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source=pdf_text observed=2026-08-12T17:47:46.699460Z digest=sha256:fef2fb7cb195dae795860d56a1af140aa5a65e7195948db7ac0204f403588ffd

Observation 2b210b62-5404-4901-aab3-a0312979540e · outbound

This paper cites Local light field fusion: Practical view synthesis with prescriptive sampling guidelines,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Local light field fusion: Practical view synthesis with prescriptive sampling guidelines,

Reference 15

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raw_fallback, observed 2026-08-12T17:47:47.383647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T17:47:46.704535Z digest=sha256:caf72abd88eafb3c7e652f42046aca4fc8e0421cf58b85708445af88a7a40cc5

Observation 1c5fc400-1089-4101-82b7-7d9e99b859a3 · outbound

This paper cites Objaverse: A universe of annotated 3d objects,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Objaverse: A universe of annotated 3d objects,

Reference 16

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source=pdf_text observed=2026-08-12T17:47:46.709630Z digest=sha256:652ab53a1e1de4f4b80a8a431f30cd08d97a08f1471de180f191b8fa3373c085

Observation b6cc8983-f270-47f4-9f6f-20455f38ae3e · outbound

This paper cites MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images

Reference 17

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source=pdf_text observed=2026-08-12T17:47:46.715303Z digest=sha256:127b3be625bb918b330bcada35d105deabacead69e97ca047e154a172cc65cf9

Observation 8f36d9b7-f78c-40f0-ba75-ea10b77c5936 · outbound

This paper cites ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 18

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source=pdf_text observed=2026-08-12T17:47:46.720494Z digest=sha256:f51ff2c8b358f7ca3d52be65d66442eba3695712f02ad9a489d60bf41e81ab4a

Observation 4d0bf269-6586-4c4d-82cd-cdd92d753001 · outbound

This paper cites pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T17:47:46.725898Z digest=sha256:bc0e08fbddeba22bae8eb943feb77985d85394593b1e7ae4de49455d8ce7d766

Observation c08aec78-3e78-4660-8fb6-768fc808db07 · outbound

This paper cites Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image

Reference 20

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source=pdf_text observed=2026-08-12T17:47:46.730758Z digest=sha256:c82032833151d1cd030db62d9e68d54defa656b45196b9f86bcdcb4b7d57675b

Observation 54ccdd72-de6e-4817-84dd-3d9230310461 · outbound

This paper cites Splatter image: Ultra-fast single-view 3d reconstruction,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Splatter image: Ultra-fast single-view 3d reconstruction,

Reference 21

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raw_fallback, observed 2026-08-12T17:47:47.335794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T17:47:46.735671Z digest=sha256:e8f8a783ae5c04de7b7a019d9886e28784784c56d3805eabe66d04e399f5cd05

Observation 5384c0f9-536c-495f-b725-b55d6d4fd9bb · outbound

This paper cites Gps-gaussian: Generalizable pixel-wise 3d gaussian splatting for real- time human novel view synthesis,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Gps-gaussian: Generalizable pixel-wise 3d gaussian splatting for real- time human novel view synthesis,

Reference 22

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source=pdf_text observed=2026-08-12T17:47:46.742164Z digest=sha256:25b390aeb63c7f830ad98578304c399fb406314df998b476ed30af260fd91f77

Observation 30f3d5dd-6762-4e16-800c-9e5e96095205 · outbound

This paper cites Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs

Reference 23

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source=pdf_text observed=2026-08-12T17:47:46.747059Z digest=sha256:8b3483baf9797a1ea0194dd05644e06e892f67e6055085a81e7a1f13845f94a4

Observation d22df56c-4da8-484a-9cc3-8358be18176e · outbound

This paper cites Ggrt: Towards generalizable 3d gaussians without pose priors in real-time,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Ggrt: Towards generalizable 3d gaussians without pose priors in real-time,

Reference 24

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T17:47:46.752408Z digest=sha256:530852aa5fe0f5959fc1c2507048aa4623d0b98f39e2869d0c8ba9462c2bca85

Observation e0a0d670-2399-461a-b486-721516d2de81 · outbound

This paper cites Attention is all you need,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Attention is all you need,

Reference 25

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source=pdf_text observed=2026-08-12T17:47:46.757719Z digest=sha256:83d572f451f2a2b97ff81793f212e9f3bf3882fefca7bd28a129464fa43988ee

Observation cdd63173-c6b1-4fc4-ad59-b79ace005061 · outbound

This paper cites Dust3r: Geometric 3d vision made easy,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Dust3r: Geometric 3d vision made easy,

Reference 26

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source=pdf_text observed=2026-08-12T17:47:46.762677Z digest=sha256:eb9d04d0dca21ff91d5dde446755adf15804d899e3b160abce4e8caa835f03e5

Observation 7e033514-4401-47f2-aaec-d7c6c746fcfc · outbound

This paper cites Building rome in a day,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Building rome in a day,

Reference 27

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source=pdf_text observed=2026-08-12T17:47:46.767403Z digest=sha256:ecf6c65cc1fa05db4aa89c1122616055b48896180c15cd3339d5e1eee6ff9329

Observation b64d7c3b-45fc-4cf3-b2b6-6914c42d4346 · outbound

This paper cites An automated method for large-scale, ground- based city model acquisition,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes An automated method for large-scale, ground- based city model acquisition,

Reference 28

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source=pdf_text observed=2026-08-12T17:47:46.772375Z digest=sha256:8d054a10f0c672c74318423a7da16812defa747095a93add2aa2c55735d89757

Observation 196fdc6c-973e-4068-ad41-d1399e05059b · outbound

This paper cites Structure-from-motion revisited,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Structure-from-motion revisited,

Reference 29

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raw_fallback, observed 2026-08-12T17:47:47.233159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T17:47:46.777722Z digest=sha256:3182835548c92bdaf2e5abb8a254d971498c44bfa55f69521d94ec66ac9217da

Observation 1c3b1c03-a15d-49f8-8de1-5bc78c47b1cc · outbound

This paper cites Switch-nerf: Learning scene decomposition with mixture of experts for large-scale neural radiance fields,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Switch-nerf: Learning scene decomposition with mixture of experts for large-scale neural radiance fields,

Reference 30

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source=pdf_text observed=2026-08-12T17:47:46.782734Z digest=sha256:12ebf816f348c4dbd6a9ee7bc2e7069af8248639d1684255ddd6ea37179fa10f

Observation 4a0f4872-0e8a-4ea9-834e-a4ce988f0813 · outbound

This paper cites Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features

Reference 31

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source=pdf_text observed=2026-08-12T17:47:46.788063Z digest=sha256:64d73ad1ddebc2d617e894137a15094d95d2efb507a962ef3c448f6099b0d235

Observation 9303a2d0-6eea-46a3-9e0b-1f8aff9e2c0e · outbound

This paper cites Mega-nerf: Scalable construction of large-scale nerfs for virtual fly-throughs,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Mega-nerf: Scalable construction of large-scale nerfs for virtual fly-throughs,

Reference 32

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source=pdf_text observed=2026-08-12T17:47:46.793367Z digest=sha256:1549e729cd751d7b0e13d62203dc7905b99f6b0c567bd4ac215c13dc46e39c08

Observation ec28a0d2-7cbe-4d2f-8e74-8255aba6bb14 · outbound

This paper cites Block-nerf: Scalable large scene neural view synthesis,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Block-nerf: Scalable large scene neural view synthesis,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-12T17:47:47.191571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T17:47:46.798174Z digest=sha256:b07d166b555b2e73f61c7fc5aee3077487cad28667f4ff0456144ed2010d3233

Observation a40766c2-5fca-45ca-a705-1818ce6b8754 · outbound

This paper cites Bungeenerf: Progressive neural radiance field for extreme multi-scale scene rendering,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Bungeenerf: Progressive neural radiance field for extreme multi-scale scene rendering,

Reference 34

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source=pdf_text observed=2026-08-12T17:47:46.803030Z digest=sha256:96b20a8e6650666f8efdb9960d01a5442c16a0e286d1283189b46f3b0dd7156e

Observation 731cb260-7ec7-4928-9a29-9c9f9d28f643 · outbound

This paper cites Grid-guided neural radiance fields for large urban scenes,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Grid-guided neural radiance fields for large urban scenes,

Reference 35

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raw_fallback, observed 2026-08-12T17:47:47.161113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T17:47:46.808027Z digest=sha256:583e4aac26dd70795869499b532e22aac02a9dd371b9ca6c07bdb904cc4abacc

Observation 19e36669-ddea-4199-abff-ba87d5d4c5b3 · outbound

This paper cites Dgnr: Density-guided neural point rendering of large driving scenes,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Dgnr: Density-guided neural point rendering of large driving scenes,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:47:47.144480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T17:47:46.813287Z digest=sha256:6c619ac101b66efce26fee8a7d95ce81345492fde22ba58c261850aa101f9b02

Observation 3982b8b2-aec6-45e6-81fd-c6e00a61dad3 · outbound

This paper cites Citygaussian: Real-time high-quality large-scale scene rendering with gaussians,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Citygaussian: Real-time high-quality large-scale scene rendering with gaussians,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:47:47.125369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T17:47:46.818152Z digest=sha256:f4efaf0334adb78cbd2c8ba428c53694145abc34938031e28776e0540fccd586

Observation 053f04c9-6c8b-4fa6-bde0-1a8292b80424 · outbound

This paper cites HO-Gaussian: Hybrid optimization of 3d gaussian splatting for urban scenes,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes HO-Gaussian: Hybrid optimization of 3d gaussian splatting for urban scenes,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:47:47.108417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T17:47:46.822857Z digest=sha256:37fd9d35e2ef83cd96975964a41988cb281d90c24a2955ce794d51efa54bcfa5

Observation fe4c89ae-2da4-40fb-ba61-24ac4fba5ced · outbound

This paper cites Fed3DGS: Scalable 3D Gaussian Splatting with Federated Learning.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Fed3DGS: Scalable 3D Gaussian Splatting with Federated Learning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T17:47:46.829668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:47:46.829668Z digest=sha256:0e9bb027c099eecd416df5982e557f7538bbc172d7cca5f82cae9d30efe8e6e2

Observation b2168288-d743-4fe8-94fd-b026cdcd16a3 · outbound

This paper cites Vision transformers for dense prediction,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Vision transformers for dense prediction,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T17:47:46.835831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:47:46.835831Z digest=sha256:3f2a59c66bf60ab20748bf88c017d87a1c0111176009e8af9f83a0d98c61555a

Observation 059156ee-97e3-4fd7-96dd-5a77f678cb3c · outbound

This paper cites Capturing, reconstructing, and simulating: the urbanscene3d dataset,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Capturing, reconstructing, and simulating: the urbanscene3d dataset,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:47:47.078099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T17:47:46.841138Z digest=sha256:79a7a35a0fcf361a26b1c13fb33a5e89f63846affb2701ac50f4a85292674853

Observation 06876670-11a1-4b3e-861b-d4ba8ea18cbc · outbound

This paper cites Drone-nerf: Efficient nerf based 3d scene reconstruction for large-scale drone survey,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Drone-nerf: Efficient nerf based 3d scene reconstruction for large-scale drone survey,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T17:47:46.846585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:47:46.846585Z digest=sha256:61f9f2fec96b85b60b20ad41509f0e1ab46fa9efaa0bd553db8d217754716e05

Observation a23e5661-349f-4b63-9fde-50841f99ce94 · outbound

This paper cites Neuralrecon: Real-time coherent 3d reconstruction from monocular video,.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Neuralrecon: Real-time coherent 3d reconstruction from monocular video,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:47:47.049925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T17:47:46.851108Z digest=sha256:a4559ed5606fca8fcc96d53ca1d9022ea4cbbb1a91c306eb34a958934a8f30eb

Pith citing papers

Observation fd7a9884-c626-4238-aebd-4ae068ee64f4 · inbound

Proxy-GS: Unified Occlusion Priors for Training and Inference in Structured 3D Gaussian Splatting cites this paper.

Proxy-GS: Unified Occlusion Priors for Training and Inference in Structured 3D Gaussian Splatting DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T13:54:04.746503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T13:54:04.746503Z digest=sha256:5be8387ebbc2474593ce016ac5732e5fe23756088ff125df1050631bf10b67e9