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Paper Citation Record · LEDGER

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting

As of 9 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2508.20754.

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

pith.paper-citation-record.v1
2508.20754 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:53:58.661755Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

40 of 40 outbound references displayed

  • verified exact2
  • verified fuzzy36
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f1bb9d7-eb64-4ee5-9f36-225b40b8d224 · outbound

This paper cites Mvsformer: Multi-view stereo by learning robust image features and temperature-based depth.Transactions on Machine Learning Research, 2023.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Mvsformer: Multi-view stereo by learning robust image features and temperature-based depth.Transactions on Machine Learning Research, 2023

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-05T14:54:08.764850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:53.977793Z digest=sha256:27514cb43110f74058b1c12beb8083fadd05cd2f9889d2d4fab985e3deadcff4

Observation ab7b329d-3fac-4e59-9b9b-dc1bacbf0b5b · outbound

This paper cites DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models

Reference 2

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verified exact
local_arxiv, observed 2026-08-05T14:53:59.170661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 92bccba9-35c2-4cb5-8a36-d31873371457 · outbound

This paper cites SLCF-Net: Sequential LiDAR-camera fusion for seman- tic scene completion using a 3D recurrent U-Net.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting SLCF-Net: Sequential LiDAR-camera fusion for seman- tic scene completion using a 3D recurrent U-Net

Reference 3

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raw_fallback, observed 2026-08-05T14:54:08.497601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:54.159346Z digest=sha256:3d1302c9dc9985a7bf4372bd3dd4aac355707692c88ad8ef37f200e4b4e77471

Observation b2dfe3ad-c855-44d7-a3cd-21f47d830ceb · outbound

This paper cites pixel- splat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting pixel- splat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-05T14:54:08.242215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:54.290649Z digest=sha256:b4e0467f055a9699b0dda1710951fc5721bca3a5e70f4df5e19da6c26ff2a7ee

Observation 902ab3be-72a5-4a72-8ec4-3bdcd75b2cc6 · outbound

This paper cites Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-05T14:54:07.992359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:54.408449Z digest=sha256:7bd37360ec5949c8950cc0dba0556b5b8f5a096bb01e221823f52b7172969517

Observation 0874a57f-616b-444b-b252-a642f9395413 · outbound

This paper cites Evloc: Event-based visual lo- calization in lidar maps via event-depth registration.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Evloc: Event-based visual lo- calization in lidar maps via event-depth registration

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-05T14:54:07.742412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:54.576624Z digest=sha256:f4ce736accd6d15288741cfa5a696020146dabc5e35a4dec2421277b537255fb

Observation 9dedbb1b-164f-4f10-a9d7-e13069ded7cb · outbound

This paper cites Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-05T14:54:07.470097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:54.732571Z digest=sha256:f18ffc00f45beaef39febcca466007a1c419d6938a948d55597e9361a532a8f7

Observation a1d8bee9-c3ac-4f4e-a0df-8820a79de756 · outbound

This paper cites Explicit correspondence matching for generalizable neural radiance fields.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Explicit correspondence matching for generalizable neural radiance fields

Reference 8

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raw_fallback, observed 2026-08-05T14:54:07.223129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:54.898959Z digest=sha256:1c44632530fc42f2d076e92242a6a7e690e9f0564041fc1be9863cfac996062c

Observation 03120e67-bea0-422f-8048-6d88313edc72 · outbound

This paper cites Transmvsnet: Global context-aware multi-view stereo network with transformers.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Transmvsnet: Global context-aware multi-view stereo network with transformers

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-05T14:54:06.900147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:55.017595Z digest=sha256:4889c9dfb5c75321a6c29263e8aa8089dfdae44c2ef065126c2c34a4132101d0

Observation c774b8e8-23fa-4865-ac58-e755f21c00ba · outbound

This paper cites Object-centered surface reconstruction: Combining multi-image stereo and shading.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Object-centered surface reconstruction: Combining multi-image stereo and shading

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-05T14:54:06.663134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:55.142899Z digest=sha256:b5ba678b6eb336c0bcb48b635ce117004575da33697d3d039d64301138dd31c8

Observation 737ebc78-7896-4e1c-946d-e44c6931db97 · outbound

This paper cites Massively parallel multi- view stereopsis by surface normal diffusion.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Massively parallel multi- view stereopsis by surface normal diffusion

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-05T14:54:06.373704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:55.288736Z digest=sha256:2e3c598ff2d2a51d7df05fe64df6f41511febc2f1bd6d3cc5ec408b0b1ef3543

Observation 0044369b-8d89-4d83-a031-65962d9b5a07 · outbound

This paper cites Cas- cade cost volume for high-resolution multi-view stereo and stereo matching.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Cas- cade cost volume for high-resolution multi-view stereo and stereo matching

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-05T14:54:06.089942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:55.488681Z digest=sha256:0a8c14edd446826c7d5e063cdfd2ebce4d99b37ee155eef346815d18f2e5ef89

Observation 5f3e3bc7-5f97-406f-bfed-b5212eb1409a · outbound

This paper cites 3d map recon- struction using a monocular camera for smart cities.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting 3d map recon- struction using a monocular camera for smart cities

Reference 13

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raw_fallback, observed 2026-08-05T14:54:05.855250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:55.548465Z digest=sha256:9a652cbce2fca3c2341c8741e8fde511564548d831d4e01873583f9141d500ae

Observation ccbfbe6c-81c6-4733-a6e6-d79b04f6dd02 · outbound

This paper cites Icg-mvsnet: Learning intra-view and cross-view rela- tionships for guidance in multi-view stereo.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Icg-mvsnet: Learning intra-view and cross-view rela- tionships for guidance in multi-view stereo

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-05T14:54:05.578287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:55.631276Z digest=sha256:e4f310b870d3e691b18b46afa9c9123149f2ee5c3f5073c916747b0327c814b4

Observation ff584885-fd4f-459e-97d7-e44413c1ed93 · outbound

This paper cites Large scale multi-view stereopsis evaluation.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Large scale multi-view stereopsis evaluation

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:55.706340Z digest=sha256:7f70b2017910e7e59b572493daf50b7f407f97a5f9660557f03259621d8d5de9

Observation 4601dcc7-f8f2-43f8-a853-5c6d59e76886 · outbound

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

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting 3d gaussian splatting for real-time radiance field rendering

Reference 16

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raw_fallback, observed 2026-08-05T14:54:04.990611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:55.806000Z digest=sha256:b2c4733fa7854429b7dee69716bc09d33c18cc176eea550344771ede368cb4d1

Observation d83ee98e-bd58-4685-acee-869a4e20a5ec · outbound

This paper cites Adam: A Method for Stochastic Optimization.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Adam: A Method for Stochastic Optimization

Reference 17

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unresolved
no resolver link, observed 2026-08-05T14:53:55.913870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:53:55.913870Z digest=sha256:f204c51047f80c9df623536783b7b566436d299fa75d8cb9f4db41e991802f6e

Observation a44ac329-ed18-4b41-867e-6eb81f022e0d · outbound

This paper cites Tanks and temples benchmarking large-scale scene reconstruction.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Tanks and temples benchmarking large-scale scene reconstruction

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:54:04.722770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:56.014741Z digest=sha256:24cce5bbf61ba394c1a96801fc52ce62beb5050b031052483cd0011ac83b582f

Observation 8d93e19e-3879-4dd7-b9da-2d96cc9d6f1e · outbound

This paper cites SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation

Reference 19

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unresolved
no resolver link, observed 2026-08-05T14:53:56.148179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:53:56.148179Z digest=sha256:669231252f3dc13e58b60deca5860507d0529dbc6926c13f31d86de61b58456c

Observation 7d78428e-731e-4fd5-889d-69dbbbd4231f · outbound

This paper cites Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting

Reference 20

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verified exact
local_arxiv, observed 2026-08-05T14:53:58.866339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:56.247043Z digest=sha256:f18afda25cf1c424cb310d7a69ee2a592a0e868bdeef615c11c4b4b3fb16a172

Observation 4fc3744e-6dc7-41b5-bfa3-dd54cd3ba251 · outbound

This paper cites Feature pyramid networks for object detection.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Feature pyramid networks for object detection

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-05T14:54:04.479244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:56.336007Z digest=sha256:ca007ebcdf8c86176be7b734c0668480bbbc5873be5621d49882eb51e01bcebc

Observation 837e76d3-8ef4-4eed-b742-5b367dc13e51 · outbound

This paper cites Geometry-aware reconstruction and fusion-refined rendering for generalizable neural radiance fields.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Geometry-aware reconstruction and fusion-refined rendering for generalizable neural radiance fields

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-05T14:54:04.160954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:56.466667Z digest=sha256:b38a0534b81a949349e4b26b12c6c92b457694507b83a8891a7a1928341a03e8

Observation 45079f52-a02c-465e-bb73-5ce65e40989f · outbound

This paper cites Mvsgaussian: Fast generalizable gaussian splat- ting reconstruction from multi-view stereo.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Mvsgaussian: Fast generalizable gaussian splat- ting reconstruction from multi-view stereo

Reference 23

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raw_fallback, observed 2026-08-05T14:54:03.953695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:56.567924Z digest=sha256:f12d311679aa039bcc75b2356ffc2fe0a11bf402bf4e96a7d092ba500c2ec804

Observation fd7dd336-6600-4ee1-9fb3-0fcda566680d · outbound

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

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Local light field fusion: Practical view synthesis with prescriptive sampling guidelines

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-05T14:54:03.718185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:56.663523Z digest=sha256:fc76692cfb741a8b39054f28e01f78a6ba4a28610b036b1fdbcd89dd1774cbdc

Observation 6eb29ee6-6276-4a06-a2d0-92d3f9e45e9a · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Srinivasan, Matthew Tancik, Jonathan T

Reference 25

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raw_fallback, observed 2026-08-05T14:54:03.459747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:56.793941Z digest=sha256:eaa5b61b353c92ca665d0947ebea8b5534f28096c8e5ddc81172c6ef5bde872c

Observation afce6b25-e9a9-4745-8c3b-dcbc06960520 · outbound

This paper cites Rethink- ing depth estimation for multi-view stereo a unified representation.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Rethink- ing depth estimation for multi-view stereo a unified representation

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-05T14:54:03.188078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:56.883970Z digest=sha256:149f2810f295427d223a3ed423b1de5d92fe087695aa5ee88317182fdf60ac31

Observation de6f6307-fec7-41b2-af9e-fa0e011fb234 · outbound

This paper cites Structure-from-motion revisited.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Structure-from-motion revisited

Reference 27

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raw_fallback, observed 2026-08-05T14:54:02.868767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:57.049075Z digest=sha256:338054e88f03bc0b6192aaadec16f0be81eea79dd2aaea878e4fef666848118f

Observation fcf83b60-56f5-42e4-84a7-42e69106ecc7 · outbound

This paper cites Pix- elwise view selection for unstructured multi-view stereo.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Pix- elwise view selection for unstructured multi-view stereo

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-05T14:54:02.606692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:57.165759Z digest=sha256:aed8aea56d4f734f868a9d53f71088179e9a0fa21b05c037d8fba2664cdbf695

Observation e2515169-d78f-4cbd-b5b4-1d49656d36c4 · outbound

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

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Splatter image: Ultra-fast single-view 3d reconstruction

Reference 29

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raw_fallback, observed 2026-08-05T14:54:02.348171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:57.284435Z digest=sha256:fe5299ef6730400c7280ae2adcb7fe5faba152663ff0b9e049c6b6e8f86e8c6b

Observation 7c395381-cbee-4e1e-9b7a-11248b9e3232 · outbound

This paper cites Barron, Ricardo Martin-Brualla, Noah Snavely, and Thomas Funkhouser.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Barron, Ricardo Martin-Brualla, Noah Snavely, and Thomas Funkhouser

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-05T14:54:02.085385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:57.392402Z digest=sha256:0aeb69056f8110b8bc65dc706ee63632d4ba53b0e5071cf85dfc6923dfd8d242

Observation e31d53a7-d35e-4433-80bc-4ff4a99e3ed3 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Image quality assessment: from error visibility to structural similarity

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:54:01.810932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:57.493164Z digest=sha256:e2ecd9725f392fe60e81b7a02a6724f9491fb3910d03ece168c5c3021a65a7a9

Observation bd43cde0-1ba1-45b3-b21c-cf33ba0e3112 · outbound

This paper cites Gmflow: Learning optical flow via global matching.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Gmflow: Learning optical flow via global matching

Reference 32

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raw_fallback, observed 2026-08-05T14:54:01.562390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:57.646616Z digest=sha256:a21da1666407d6e7f857a1fbbf220077ce422909e27649ce1f51cab7ba4029b1

Observation 6012ff67-c09b-4763-9f69-f65c944ced27 · outbound

This paper cites Mvpgs: Excavating multi-view priors for gaussian splatting from sparse input views.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Mvpgs: Excavating multi-view priors for gaussian splatting from sparse input views

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:54:01.290791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:57.794160Z digest=sha256:be4f7e756de758b9f93e7d1c1e5bd92c1100e82b311ff7eaae134349a12c639f

Observation 5664a9c1-7211-46c7-9e32-3edd9b5aa9af · outbound

This paper cites Dense hybrid recurrent multi-view stereo net with dynamic consistency checking.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Dense hybrid recurrent multi-view stereo net with dynamic consistency checking

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:54:01.009210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:57.947769Z digest=sha256:a1b67d30fb0b84b91dedd370fec8aa102d5486d59365ab3cb4dcf5396b75e45f

Observation 0f3df642-5ab7-401c-a276-ee265ec9380c · outbound

This paper cites Mvsnet: Depth inference for unstructured multi-view stereo.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Mvsnet: Depth inference for unstructured multi-view stereo

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:54:00.802490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:58.066413Z digest=sha256:2eb2ce37ca7e1a73c43070a97032c35abfddf010d32f9bc09b0b6744e347ab8d

Observation 10f73b01-4951-4555-8a70-4c97cd458901 · outbound

This paper cites pixelNeRF: Neural radi- ance fields from one or few images.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting pixelNeRF: Neural radi- ance fields from one or few images

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:54:00.557674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:58.147410Z digest=sha256:015cf735423205d4f81933ef2ff0fb5f0c6b71810a09c65a3b329660b94618ef

Observation fcf2e7c0-9fdc-44ea-9338-9bda5aa6d1b5 · outbound

This paper cites Fast-mvsnet: Sparse-to-dense multi-view stereo with learned propagation and gauss-newton refinement.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Fast-mvsnet: Sparse-to-dense multi-view stereo with learned propagation and gauss-newton refinement

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:54:00.274356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:58.285205Z digest=sha256:ffc1d24eb81506d6f001ef51670020f0b9677f88ec226457b02d75edd2b31cbc

Observation 3080d2d3-b09c-41cc-8a47-e6bb139fa485 · outbound

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

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting The unreasonable effectiveness of deep features as a perceptual metric

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:53:59.964581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:58.392502Z digest=sha256:b36c8c9063bf4bbf432ac58792a64ca484d05fe2f65c8a7f5bb65d03e342913e

Observation 8f6657f1-e2e6-4518-b5ca-75c24e46bab2 · outbound

This paper cites Geomvsnet: Learning multi- view stereo with geometry perception.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Geomvsnet: Learning multi- view stereo with geometry perception

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:53:59.757611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:58.533869Z digest=sha256:2063dcb22ce1c6c4bcb6bfb8d75db572b0786c25def4bc7893d528bc37686db9

Observation 1691a275-6321-45eb-a4f9-409d0dbed61c · outbound

This paper cites Ours” refer to the generalization setting in Table 2, while “MVSGaussian f t.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Ours” refer to the generalization setting in Table 2, while “MVSGaussian f t

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:53:59.439132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:53:58.661755Z digest=sha256:f9ec8bcd0f33b6458acb0e52970c4cde2fddece3ee300e3d6afda5b0efa90f9a

Pith citing papers

No inbound Pith citation observations are available.