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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:06.471830Z digest=sha256:461fabffdab6eab835886c31462581e5c6b78f66f86016e0eb9331946538199a

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:06.559075Z digest=sha256:e36171c2c974673da6e4e984c73da59230805de42e2c238e7bd39475292c766b

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:06.610528Z digest=sha256:8c43c3e429ae6e38f3cd406d91a3c3e9350f1ec52c3c93f563f5cd9c462e292e

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=sha256:2ad27bb1b0fad047664082107e317936f8671940196eb562d9e5cd8a5d2675d8

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=sha256:527cf509229a498545c00aec8a5897e2e26d71de2352c4ded8dd343035a4844a

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=sha256:81a1c3755ec77661483312461f5f515767381a44077a88113541884db17eecb9

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:06.931685Z digest=sha256:65fb48b126e9124a3c5be1a3d35bd56fef65500fb9a34543150c2827347700b8

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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verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:07.023263Z digest=sha256:5cbcd7291e007adf175330b995e70962f083a2c0a688089e46dc4a3e67607477

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:07.071719Z digest=sha256:f68ae552894df50152610f081ce40661a81e4852d264d9bfe967405498ae4760

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:07.161828Z digest=sha256:7f7b1819e0bb50f04565c10a70ee905da5d57f286d3420750ae2c357c3a686dc

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:07.217581Z digest=sha256:117dd922b7ff30b207e0032d68fd4445fd5c81c9146c53c86fe960a58caf5ce3

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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no resolver link, observed 2026-08-07T04:35:07.272927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:07.272927Z digest=sha256:b764bf8a88e295a6f0eaad3ade66948ce3f67ef435d3f97468106a8c09de29b4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:07.352612Z digest=sha256:1361b67196b1770a107c13dea070f21850a4562a39cb063449cbbb7fdd8fb0da

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:07.393117Z digest=sha256:eedd96b70991c5c44a740874d914b0f16f6eb35be0dc10fb6a32fe9640c8aedc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:07.433377Z digest=sha256:103140888088eceb28388ef82fb88e946ce179d05b29c9f3c71b8de7a06c4db9

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:b43f8a35c8e68a0719eb83518d22d1b46f98e7c0c7857c7fb6b381a13f83cd5b

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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verified fuzzy
raw_fallback, observed 2026-08-07T04:35:11.532717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:07.524719Z digest=sha256:7cac306aff4ca48f7f2519442cc12b379b48e3522dbdfc0aef793c263d3d8c37

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:07.591661Z digest=sha256:bef74b56089abada01cbd7928b7a35502813941d78ebe8a17cea1dc4ec6ff22a

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:07.627529Z digest=sha256:5d69c9be5e66e9ed6f65cc924a7db3816de1237de5660917fac63c29824f9c9d

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:07.669524Z digest=sha256:eb9fc4bfeeac33ce5fb151d321f0fb7586774fedaa83348ddfce8da9b83cfe36

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=sha256:7ee7789845cf11cfcfdf5ac319b3542b27c45e002b55a5cb2c5e529c57d55d7d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:07.774696Z digest=sha256:131ed81cc117cec12221b0314adae03b02941af418627a5f2fbe023e36914e93

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:07.825333Z digest=sha256:51f6c227fa5073bd4a751c92c46cf3ec15078e4c051c792d59ddc9cdf8e04e71

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=sha256:146b04ec88eabe121d93749f76dab5aeaae539adccfa035c30cff1484ee4fbb8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:07.967117Z digest=sha256:b4afa1970ca35da1d3f32de978711458f2a5e8181ecb7b7d0d564cbbc7ee5983

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:08.028970Z digest=sha256:6926e8014f7ff6b347b8ffe59a3e94bc9227ce059e81f3fb2edc7bc9677eb8c7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:08.104454Z digest=sha256:3ea228a67e32735b728f75985ca8fc764c3cee29013da28977c4a49ac2bcc697

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:08.160253Z digest=sha256:7052dd6938870239fdf4e28c80d85d1133178402f46b538ed0688e6e56ce9d82

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:08.226433Z digest=sha256:a917edc565bc55525beafc230e89fdacc7d8a15bef51cd7bb1c327b66af87036

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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no resolver link, observed 2026-08-07T04:35:08.292286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:08.292286Z digest=sha256:ebcf48bd4c9ab1c07f7e57f8423c0f9e8cf91ed3a3575ef8e711b363a3792e43

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=sha256:69aaee233a03e64787952340a0fc76c5243a20c2699e80f42827cac2e1cb7211

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=sha256:737396e6a372767c736961a9cf705d0e8af129e5c50013f82570668ccd5695be

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=sha256:54352194674e6aa37348bf8e13de8231a792576f0c5e531a4001bbaed6ac46f9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:08.500153Z digest=sha256:bb8479cb7a185499d0308db00bb3a2265e1525e61af00c949061cb13c63a0aa0

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=sha256:96fd41fbe44a9d58e4862569876b0127962a91f8a6dca0383b78d5f1ac8972f0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:08.598786Z digest=sha256:a193bbfb160778672cc50780ea7060b273472c5b1e610d35764dcbd6da66aaaa

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=sha256:2d81c978082775cecf801511edef16cc5ab0e63c0f9af582a6cc9d7d270e6993

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:08.722607Z digest=sha256:ce50546470335a3bfb8e0fc2962b4a08351a1cd42eda42324d517f8b1bfa442a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:35:08.788157Z digest=sha256:ff45285ff3ba9f8b6913627afa5c72277a344174210a747ffd1b7b48d2311044

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:bd01804ea496b71c1a53df3583ff18ab591dfd3e2a897aa9824b38901ac156de

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:14:17.879483Z digest=sha256:bcfc19e534aaa5192276c6db594dd506924fafde5d460b3f736763756d10437c