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Paper Citation Record · LEDGER

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting

As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2506.10335.

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

pith.paper-citation-record.v1
2506.10335 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:35:08.851589Z

measured 41 of 41 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:14:17.879483Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:14:19.662437Z

Reference resolution

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy22
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6fe31b58-8b60-4cd4-be16-1b5dc1574768 · outbound

This paper cites Mip-nerf 360: Un- bounded anti-aliased neural radiance fields.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Mip-nerf 360: Un- bounded anti-aliased neural radiance fields

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-07T04:35:13.104750Z

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=2026-08-07T04:35:06.471830Z digest=sha256:97e880b5f1a89f10bb68b17ee6bee68745a2240e8913c514f838a98693c47645

Observation 6eaae024-7d20-408a-9871-2037e33112cc · outbound

This paper cites Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields

Reference 2

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:06.559075Z digest=sha256:7f8108bf899b64f21be0b6c3225372b4fd04cb03cfd203e801f21a5bb98d40d9

Observation dce83b96-5e6e-4b9c-9abd-8909b1838df7 · outbound

This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Mip-nerf 360: Unbounded anti-aliased neural radiance fields

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-07T04:35:12.986891Z

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=2026-08-07T04:35:06.610528Z digest=sha256:2fd001b3e49155072720e9496d84cea9e2d7fb81fe700d8ef09301b3990844fd

Observation a754995e-b609-4ee3-bfe3-603a715a288a · outbound

This paper cites ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:06.683468Z digest=sha256:6718041b8ea1fe1169f582bad91c6ddca641c4ec0ae6dd8d5c6c57a0ed580768

Observation 22abb223-9ac6-4dea-b1cb-b511b2ccffc0 · outbound

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

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction

Reference 5

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no resolver link, observed 2026-08-07T04:35:06.759798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:06.759798Z digest=sha256:f7bba1bcf7a9c65d71b7ac32d630933c94425d9ed74c13d3f07e416731fb4ef2

Observation edd7cf7c-9e46-49e7-84d7-630fceafaeb2 · outbound

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

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Mvsnerf: Fast general- izable radiance field reconstruction from multi-view stereo

Reference 6

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no resolver link, observed 2026-08-07T04:35:06.877322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:06.877322Z digest=sha256:5007d433d715e9545e87f7d3d873afd5ffc8c8ca901ffbb6c62c503bb6d7396e

Observation afd962a6-a33a-4cb2-8917-74688eb84199 · outbound

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

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T04:35:12.755952Z

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=2026-08-07T04:35:06.931685Z digest=sha256:c53a937634e0856c6207fa6487fbb644103fc2023cb934a605612eab231791d4

Observation 826adaae-2d65-4e66-bd26-7b2f3ffad060 · outbound

This paper cites Depth-regularized optimization for 3d gaussian splatting in few-shot images.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Depth-regularized optimization for 3d gaussian splatting in few-shot images

Reference 8

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raw_fallback, observed 2026-08-07T04:35:12.415702Z

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=2026-08-07T04:35:07.023263Z digest=sha256:8349865471ef9ae10bf0c8cb07f0601841a414d7528f70ca77e95b1b84aadac9

Observation cd791993-3475-4f03-951a-d2dae47ca100 · outbound

This paper cites Depth-supervised nerf: Fewer views and faster train- ing for free.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Depth-supervised nerf: Fewer views and faster train- ing for free

Reference 9

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raw_fallback, observed 2026-08-07T04:35:12.192443Z

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=2026-08-07T04:35:07.071719Z digest=sha256:c86c8e4fa01cf252be6afb9b369c73e480158b197b9ec7d1033e0bf992eb02c9

Observation 7fce0e1d-71b5-44ea-aa25-91387252ecce · outbound

This paper cites LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS

Reference 10

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source=pdf_text observed=2026-08-07T04:35:07.161828Z digest=sha256:3f5a8d47291b5d1b72a50f7ea5d4693833e7b8ad26f4b0af7164119000f08ea7

Observation d95a5451-a7ca-4309-b1c3-84eed0e59449 · outbound

This paper cites Plenoxels: Radiance fields without neural networks.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Plenoxels: Radiance fields without neural networks

Reference 11

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no resolver link, observed 2026-08-07T04:35:07.217581Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:07.217581Z digest=sha256:f429898681cf761c02952dea544377b9b8e826220d190736f88cc0615120f32d

Observation 331b553c-2254-45bf-b39f-e17e5aee28e8 · outbound

This paper cites Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:07.272927Z digest=sha256:a2dac653c2aa0365acf0f9326c8dd64b55b40c208c0b2d3833cae6e8c4cb61e2

Observation 94e1bc09-954d-4759-ad77-c464dd9733e8 · outbound

This paper cites Deep blending for free-viewpoint image-based rendering.ACM Transactions on Graphics (ToG), 37(6):1–15, 2018.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Deep blending for free-viewpoint image-based rendering.ACM Transactions on Graphics (ToG), 37(6):1–15, 2018

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:12.053325Z

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=2026-08-07T04:35:07.352612Z digest=sha256:6291cfb73b381fd9207cf4a9e65e2e5caa89b477a4f3bcf5e773741f90b710c3

Observation 7703220e-aa1d-4e4a-8f78-a8f34a49fdca · outbound

This paper cites Hdr-nerf: High dynamic range neural radiance fields.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Hdr-nerf: High dynamic range neural radiance fields

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:11.913520Z

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=2026-08-07T04:35:07.393117Z digest=sha256:f75a63017c0166d03c4983b89fde3c1a9045424c5790815bdfc8151dc66dc641

Observation ecc0ccb5-e902-479f-81a4-015e946fb736 · outbound

This paper cites Putting nerf on a diet: Semantically consistent few-shot view synthesis.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Putting nerf on a diet: Semantically consistent few-shot view synthesis

Reference 15

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raw_fallback, observed 2026-08-07T04:35:11.740319Z

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=2026-08-07T04:35:07.433377Z digest=sha256:2bbcd0cc566d955d99aa5728459dcb81c336884507c950e2b822e2e214801fad

Observation 535a541f-5618-4ca0-94d6-8bcba7da2ec7 · outbound

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

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 16

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source=pdf_text observed=2026-08-07T04:35:07.485558Z digest=sha256:1faf1fcc0b4d44284f1073fbe5657a24036f3587b19c3ac97511d6fe8be6aaad

Observation c511e0cd-7779-4236-8773-8b623a05da0c · outbound

This paper cites Compact 3d gaussian repre- sentation for radiance field.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Compact 3d gaussian repre- sentation for radiance field

Reference 17

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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=2026-08-07T04:35:07.524719Z digest=sha256:05eaccac2443fa97eb3f8aef01efe826acfed26d612800b287c6de635b603bca

Observation 132dff7a-bc36-4512-861e-1cb447d9a5b0 · outbound

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

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Dngaussian: Optimiz- ing sparse-view 3d gaussian radiance fields with global-local depth normalization

Reference 18

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raw_fallback, observed 2026-08-07T04:35:11.322838Z

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=2026-08-07T04:35:07.591661Z digest=sha256:fdc481499998011289105f64590c53c0c1bf2f7c7186df16219f38070b5b3765

Observation 52b13af8-19e4-4b95-832b-91e35c44e83a · outbound

This paper cites Vastgaussian: Vast 3d gaussians for large scene reconstruction.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Vastgaussian: Vast 3d gaussians for large scene reconstruction

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-07T04:35:11.154467Z

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=2026-08-07T04:35:07.627529Z digest=sha256:8285125710e2640ad76bbe38e6d1553e0207e79adc85eadf6ce06aa6f3e418d5

Observation a3d77a8e-45ac-4b7c-8f6b-966bb00ff8a0 · outbound

This paper cites CompGS: Efficient 3D Scene Representation via Compressed Gaussian Splatting.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting CompGS: Efficient 3D Scene Representation via Compressed Gaussian Splatting

Reference 20

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:07.669524Z digest=sha256:7a435808d2ca201fd1261297a16f474ebac74a6b3633036714c2c1486edce969

Observation 8c82c91c-f907-48dd-bc66-d18a53c4212c · outbound

This paper cites CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:07.735300Z digest=sha256:eadade0019db0528a5a66280f9db5299249e7895f1e643f50e736ead1e6ed8e5

Observation 15da0905-7904-4fe2-a00a-04c2ad98bb5e · outbound

This paper cites Local light field fusion: Practical view synthesis with prescriptive sampling guidelines.ACM Transactions on Graphics (ToG), 38(4):1– 14, 2019.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Local light field fusion: Practical view synthesis with prescriptive sampling guidelines.ACM Transactions on Graphics (ToG), 38(4):1– 14, 2019

Reference 22

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raw_fallback, observed 2026-08-07T04:35:10.925578Z

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=2026-08-07T04:35:07.774696Z digest=sha256:fda64e97ef6e8f8187e98731e84fa70d23dbf468c4cf2d04da8d7ad75f3de7bf

Observation 7b9826b6-6161-4ea9-ae3c-9e5de4631280 · outbound

This paper cites Nerf: Representing scenes as neural radi- ance fields for view synthesis.Communications of the ACM, 65(1):99–106, 2021.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Nerf: Representing scenes as neural radi- ance fields for view synthesis.Communications of the ACM, 65(1):99–106, 2021

Reference 23

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raw_fallback, observed 2026-08-07T04:35:10.768859Z

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=2026-08-07T04:35:07.825333Z digest=sha256:9fcfaf4cf302dec97653bf1e3db0db624bbdf218ab17ee7925f9fc82252afe63

Observation 2ed990f6-145d-4151-ab79-931edc7271e1 · outbound

This paper cites Instant neural graphics primitives with a mul- tiresolution hash encoding.ACM transactions on graphics (TOG), 41(4):1–15, 2022.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Instant neural graphics primitives with a mul- tiresolution hash encoding.ACM transactions on graphics (TOG), 41(4):1–15, 2022

Reference 24

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:07.906175Z digest=sha256:e7b6aa2c5ff8cfc67d972db2e6c231138e6a8d28d0ad45ecd480c1ad813844e6

Observation 2e1c1c78-68c3-4d1a-8b20-a382231b031f · outbound

This paper cites Regnerf: Regularizing neural radiance fields for view syn- thesis from sparse inputs.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Regnerf: Regularizing neural radiance fields for view syn- thesis from sparse inputs

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:10.527842Z

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=2026-08-07T04:35:07.967117Z digest=sha256:33ab72c6492ae8e1cace761496f95e27244127412a1da899149749a82489008c

Observation 8ffc2c37-88e4-44a7-91e5-2a2ba3f84591 · outbound

This paper cites Coherentgs: Sparse novel view synthesis with coherent 3d gaussians.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Coherentgs: Sparse novel view synthesis with coherent 3d gaussians

Reference 26

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raw_fallback, observed 2026-08-07T04:35:10.307327Z

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=2026-08-07T04:35:08.028970Z digest=sha256:16a98c9caaead9add2d22067a3f72ac894ccb237465243fae8e8d267ab7811e0

Observation 72012a08-0fd4-4583-95b2-ce5fa30bd572 · outbound

This paper cites Self-positioning point-based 9 transformer for point cloud understanding.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Self-positioning point-based 9 transformer for point cloud understanding

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-07T04:35:10.101298Z

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=2026-08-07T04:35:08.104454Z digest=sha256:8099e6b950b41235ea0ac3c3dc39412fedbf0632a6f4b95b112bf86ce69ee10d

Observation 88b6ac64-1e79-4674-bcd2-937e7fd8ae17 · outbound

This paper cites Efficient 3d semantic segmentation with superpoint transformer.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Efficient 3d semantic segmentation with superpoint transformer

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-07T04:35:09.919961Z

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=2026-08-07T04:35:08.160253Z digest=sha256:9d0cc3c6d4eec36d70d837b5e23822e65b351db9cef53df8fea4f0a61e7598c9

Observation 5eb4cedd-0fe4-4977-a660-3b23f72c4408 · outbound

This paper cites Dense depth pri- ors for neural radiance fields from sparse input views.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Dense depth pri- ors for neural radiance fields from sparse input views

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-07T04:35:09.714737Z

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=2026-08-07T04:35:08.226433Z digest=sha256:4fd165c70990e28f77bbb98d1262c5cc246b10c80b26f0ace38cb4d38981bb14

Observation 5a824f64-3b88-45d5-894c-18f37ef04196 · outbound

This paper cites Structure- from-motion revisited.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Structure- from-motion revisited

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:08.292286Z digest=sha256:8c3655333a69fc3ca9f9b7f7765b095127fcbd1e54a93362a27d0056ba08ad31

Observation 6a890951-8d0d-498c-a186-3eed98285cfe · outbound

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

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Sparsenerf: Distilling depth ranking for few-shot novel view synthesis

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:08.341941Z digest=sha256:e618d3b00aa45dfc995d0a5a5453be554dee2845cd56f9291ee20e66ccdba60f

Observation f50c65f6-6265-4a3d-b12a-81b94125c0e8 · outbound

This paper cites VGGT: Visual Geometry Grounded Transformer.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting VGGT: Visual Geometry Grounded Transformer

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:08.389877Z digest=sha256:d3a9f2e5e4b6144792e0eaa63ae1ed7da2a9cef727edf16e02ed1e6fe405916b

Observation b9648b06-8a29-42ab-b617-267978f0945e · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:08.448529Z digest=sha256:c4d31bba550e37e09ff5ab41f5f34579894e9445855787210df825545bb0baee

Observation 20599970-d32c-4c98-9f55-611d0f264736 · outbound

This paper cites Nerfingmvs: Guided optimization of neural radiance fields for indoor multi-view stereo.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Nerfingmvs: Guided optimization of neural radiance fields for indoor multi-view stereo

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:09.553570Z

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=2026-08-07T04:35:08.500153Z digest=sha256:6f1c4a984e88bfe8030d69a0625f357714e709dbcb06594dd71f81f0abe3a8bc

Observation c2595db6-a7e5-4a13-8d2a-bca03c03dbfc · outbound

This paper cites SparseGS: Sparse View Synthesis using 3D Gaussian Splatting.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting SparseGS: Sparse View Synthesis using 3D Gaussian Splatting

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T04:35:08.567973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:08.567973Z digest=sha256:f5e39b3da3d6f125e28767a5ce932ab9cc34f6ae119f11b3e871d1ae5efd8d5c

Observation 7f6439f3-ef57-4b10-b9b0-bd5670f7b672 · outbound

This paper cites Murf: Multi-baseline radiance fields.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Murf: Multi-baseline radiance fields

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:09.398403Z

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=2026-08-07T04:35:08.598786Z digest=sha256:d4c7b945b49c2e1c4dbb140e0abc471152857365fc5c66c3ef7c7183c29ef21a

Observation d42fa318-bb85-4b25-a874-a1c3c087882b · outbound

This paper cites Freenerf: Im- proving few-shot neural rendering with free frequency reg- ularization.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Freenerf: Im- proving few-shot neural rendering with free frequency reg- ularization

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T04:35:08.660716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:08.660716Z digest=sha256:95c06d136c24163d7a1dd0587b531b3f383f74aeae9dc3966994a40238859eb3

Observation e1d0423e-5f69-4433-b355-8bcbe8a9a9e3 · outbound

This paper cites Pose-free neural radiance fields via implicit pose reg- ularization.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting Pose-free neural radiance fields via implicit pose reg- ularization

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:09.243019Z

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=2026-08-07T04:35:08.722607Z digest=sha256:0b3f6a2c6c130a8213a874229b74d4dce7544f47609f7fa66c10529da1857a33

Observation 0588148a-801b-4758-a1de-e44c3c853b6f · outbound

This paper cites The unreasonable effec- tiveness of deep features as a perceptual metric.

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting The unreasonable effec- tiveness of deep features as a perceptual metric

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:09.143021Z

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=2026-08-07T04:35:08.788157Z digest=sha256:15388a6914e864ef36aa6de6152f6d64b660d8f977b681809c1f1d4aed85a419

Observation 99c2330c-2cb2-4c3a-b5af-fe18deecb922 · outbound

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

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T04:35:08.851589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:08.851589Z digest=sha256:e176f73f8531ab637f67d14f11af18d8c6c4d622b9b47911f3a983fd1169a6d0

Pith citing papers

Observation 270cef5a-d835-48f9-944d-486ca976c5a9 · inbound

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges cites this paper.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:14:19.665690Z

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=2026-08-06T15:14:17.879483Z digest=sha256:33a67ddb55d3620d1674f81c9c202cfdd99330598a8b6820dfef189ed4bdee3b