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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:53.977793Z digest=sha256:5cb86c34ceaf42c09f4619c5c96ce40f365f750d6d44f5672770c7a3dbbaa7c8

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:54.159346Z digest=sha256:4317d29c8eb36f03d43903aa4fa26c0e00f9f3df781399271dccbc0cf2cd3c74

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:54.290649Z digest=sha256:8d4d4016e339e0d58c6c2d93ac67fd33e323eec42d288471662d06aa5da165a6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:54.408449Z digest=sha256:f442fab29d2b5ec125ade0414f164d791dc1775867e74b9d2f0360568b051d23

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:54.576624Z digest=sha256:08f0cdb83545e4b7584909cf8f6253d4e1ef2a148074dda84492488dcd4119e0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:54.732571Z digest=sha256:3e6f241cf553c572a1a09648176a5da215cba31ce6b3452993045cac79a96d97

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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verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:54.898959Z digest=sha256:b2f61e68b9e3af5d2750ba020a35f0f52d79037c99f4d84abb017215e1f8586c

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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:55.017595Z digest=sha256:4ccf4982fe66a0a494b27bd51a5922993837785fdbae04bba57a92315b6bf70f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:55.142899Z digest=sha256:680b84835067198fd5e89d1286cd7087740d17f593ef9cb3f148dd18bf1a2c89

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:55.288736Z digest=sha256:dbe157dab860b6761425e820a1b46b6e9c4f331a09cc513a0dd9ecc004daef44

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:55.488681Z digest=sha256:fb57b6864f4690c351a485ba4738d01b296ec915b00ee49ad32d21087f786ccc

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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verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:55.548465Z digest=sha256:ad09ba869f85352aa8cd9b6c65f47dd8db4f099ecdf7bfdc6dde46783db51830

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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:55.631276Z digest=sha256:df8a23613e19f40e3f099a283e671a2d2f99eda52bb715889fe597e6cc91545d

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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raw_fallback, observed 2026-08-05T14:54:05.275572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:55.706340Z digest=sha256:7d090b6de5d696c1e3efa2f2b4582eeb0729bfd7839f0f4b4f2d27ac09e8d35d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:55.806000Z digest=sha256:5fcd783ba41a6034433e67e40f4276d83ae1294907504136aaa2fe3c1f93bd2d

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:e8267532387f23aa34cef57bd17e88157193073d05986e6e72fa7e30aab41865

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:56.014741Z digest=sha256:133254179aa450646b20fec703c4c5c81a1d64e3a7985f18661563f94a5a24ca

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:c0839b0504e0b97b4ccdf6ea3c936c0422c60fffe834417102554155a58e2574

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:56.247043Z digest=sha256:ccd9c6f6b9fde04a73fd5ae7cf2eae5a5d923ea9e6a9b54e3989df968f6de894

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:56.336007Z digest=sha256:c59bc2eee4aa3dfcb270362bf3ad3ee59e79f82d324e12d18ae59ed0cef5cf22

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:56.466667Z digest=sha256:a2293d1634946e888031672a643d5826b0e1f357866711cf4b52ad4bd621b2ad

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:56.567924Z digest=sha256:1afaf4588080ef4297de614a11b5f11b2b24c5d98d43be3f5a0face55950e377

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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:56.663523Z digest=sha256:cbc869aa3480cc1178f97354ce02fdafa4dbb4f30165a145965b836132c5595e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:56.793941Z digest=sha256:b24e18ca941f852e2557dae10b6081a269f7a992e11f05d948821b3bfaf34dfa

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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:56.883970Z digest=sha256:5570c8e0929f052a623763f3aad07f418ecea1aeb05f284e58295cf9893a2fcc

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:57.049075Z digest=sha256:872fb5f43e29a45abde207f18a5a5eec41b55ed4f3fc6079566c7ecbc1a32108

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:57.165759Z digest=sha256:f4e3bf946f5dc07947899f1854b5c891fb5bee263807959d59e52126775d5dff

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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verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:57.284435Z digest=sha256:83a26d82f8ff94f78af26d250dcc93efe06f0a3dcd5ee3a59caf0eb12556d0ae

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:57.392402Z digest=sha256:ed0266f54826fbc0148e4d1cad1f2c406aad7af280c69467555887e8246e4ab6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:57.493164Z digest=sha256:f3b839d6332dd360db818e0bb29b0b75fa1f5a952ee779a69fec8400a25fa64a

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:57.646616Z digest=sha256:65fa934de4810f1bd97814772caf5f09ab7d4cefa7a7cb10eb7382522842a2dd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:57.794160Z digest=sha256:ac1c2f149c4d6930aabc0cc7a8b3f0cc97ff51d5afd53c6fc0b882548ac160a3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:57.947769Z digest=sha256:b22ed4eee1e8dc8aaf42bfc95a0ea61b59edee01b8d12923872924f015948e34

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:58.066413Z digest=sha256:4cc6862605219d4db8d9e3db6fa23e769b346039587e166f0501528edff67cdf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:58.147410Z digest=sha256:3b7d34ff32c6a615eef9907e009c58d407fb97ce5f79d9d620c3371013f59ad9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:58.285205Z digest=sha256:b04a29518c8e8f84c1070e5f934fd25e7fd4d4b0802ad4b166b9b89fec00d787

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:58.392502Z digest=sha256:743bfbe81fbd82b0c22913db96f3a5d889940fe2831944056670f4dd73db92bf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:58.533869Z digest=sha256:bc0083da7d0e9ebc56cee176dec8f4cab43157af5dc6f8dcc794e3e4547b6d91

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:53:58.661755Z digest=sha256:822dc97768c659bc5b6bce7d9dd5ca89b6321554747e38793d9a09666fe6a935

Pith citing papers

No inbound Pith citation observations are available.