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Paper Citation Record · LEDGER

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors

As of 16 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2608.13502.

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

pith.paper-citation-record.v1
2608.13502 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:34:06.502492Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

44 of 44 outbound references displayed

  • verified exact1
  • verified fuzzy32
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 597ba48d-aaba-4cae-bb69-06b783adde60 · outbound

This paper cites Rank minimization for snapshot compressive imaging,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Rank minimization for snapshot compressive imaging,

Reference 1

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raw_fallback, observed 2026-08-14T05:34:06.904229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3ff529da-5b33-41ee-8073-193f9f4d3c39 · outbound

This paper cites Deep tensor ADMM-Net for snapshot compressive imaging,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Deep tensor ADMM-Net for snapshot compressive imaging,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-14T05:34:07.467390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.300337Z digest=sha256:35e7d4f1279b02783e22b5c5de641590e0fd83f9d505dc12208bf739d6084001

Observation fb67c835-7c50-40c7-9c53-a2ddd486587f · outbound

This paper cites BIRNAT: Bidirectional recurrent neural networks with adversarial training for video snapshot compressive imaging,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors BIRNAT: Bidirectional recurrent neural networks with adversarial training for video snapshot compressive imaging,

Reference 3

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raw_fallback, observed 2026-08-14T05:34:07.451353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.305237Z digest=sha256:93490e6756d7282e1c36efba4d675b431ed936e4692759a846f9abb726dd2d82

Observation 8f742049-550a-4066-93e5-89d88ab80954 · outbound

This paper cites Memory-efficient network for large-scale video compressive sensing,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Memory-efficient network for large-scale video compressive sensing,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-14T05:34:07.435092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.310636Z digest=sha256:4eefc5f144921d5af7db7be947b09a659a9e2723ec97c2424d48d87eb7716215

Observation 48a998a9-b8a6-41e9-97b3-8ee1863cff74 · outbound

This paper cites Spatial-temporal transformer for video snapshot compressive imaging,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Spatial-temporal transformer for video snapshot compressive imaging,

Reference 5

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raw_fallback, observed 2026-08-14T05:34:07.419037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.315636Z digest=sha256:2f175a6fb23685573b57708c634b136cfd43475a0e95df5cdfadbbe9e6fda2c6

Observation dd8e0b4d-2a8c-4970-ae3e-41d3f915b12e · outbound

This paper cites Hierarchical separable video transformer for snapshot compressive imaging,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Hierarchical separable video transformer for snapshot compressive imaging,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-14T05:34:07.402228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.320372Z digest=sha256:a97723b1559c03817fdde8c44f2362efc4c218b3f6d5308aa529cd9d21b8e766

Observation 793a7e3e-dbd8-4ad3-bb86-8013fe0efe17 · outbound

This paper cites EfficientSCI: Densely connected network with space-time factorization for large-scale video snapshot compressive imaging,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors EfficientSCI: Densely connected network with space-time factorization for large-scale video snapshot compressive imaging,

Reference 7

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raw_fallback, observed 2026-08-14T05:34:07.384932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.325565Z digest=sha256:7046fd27817fcaeeb581e381184f1c93265371cec7aeed9d2344c8d1aecef1b0

Observation 19d65d18-8f48-4fd7-afdd-75c22de0c421 · outbound

This paper cites Plug-and-play algorithms for large- scale snapshot compressive imaging,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Plug-and-play algorithms for large- scale snapshot compressive imaging,

Reference 8

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raw_fallback, observed 2026-08-14T05:34:07.368428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.330092Z digest=sha256:aca7dd44304a339bf70e69fb28a98282d9466e4db995ac5b1d15854f737b99ea

Observation e8c8ff23-5312-4658-967d-4d22221dd317 · outbound

This paper cites Plug-and-play algorithms for video snapshot compressive imaging,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Plug-and-play algorithms for video snapshot compressive imaging,

Reference 9

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raw_fallback, observed 2026-08-14T05:34:07.353361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.334345Z digest=sha256:1093fa0f288671275b8748e321d9241d7d45553fded2a55d7c60054590c96829

Observation 7cdccd9d-60b4-4597-a20a-85705c24ddb9 · outbound

This paper cites The 2017 DA VIS challenge on video object segmentation,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors The 2017 DA VIS challenge on video object segmentation,

Reference 10

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raw_fallback, observed 2026-08-14T05:34:07.337526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.338745Z digest=sha256:50e2a955c7c3361ca9cd4a7030aef7439c2acb2f4051ae130c9a1cc84a99112e

Observation c5c90930-49be-4322-a650-31280612a5b5 · outbound

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

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors NeRF: Representing scenes as neural radiance fields for view synthesis,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.343257Z digest=sha256:62e3e542e764703d722f653af59b5a16fe8d087981895886d1dc359a2080ee6d

Observation 45a6c5a4-ba4c-421e-b75d-0e428fdb07ae · outbound

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

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors 3D gaussian splatting for real-time radiance field rendering,

Reference 12

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raw_fallback, observed 2026-08-14T05:34:07.303719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.347996Z digest=sha256:9eb266a6aacfda5ca8ff9d84e7fa3f48cbfa14b4720ef03176a211175d639c15

Observation 86a58d6c-105d-4621-a3eb-a83be13fbb04 · outbound

This paper cites SCIGS: 3D gaussians splatting from a snapshot compressive image,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors SCIGS: 3D gaussians splatting from a snapshot compressive image,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-14T05:34:07.286698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.352452Z digest=sha256:158e694da24abc0ca2eb47cefa0211e1cb8dcb5225bc833c4ad35ee8d6d39f06

Observation 054c983f-d7e4-4ace-89d5-8b1622c115a2 · outbound

This paper cites SCINeRF: Neural radiance fields from a snapshot compressive image,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors SCINeRF: Neural radiance fields from a snapshot compressive image,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-14T05:34:07.269544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.356907Z digest=sha256:f61b8a9212e3b5b617e4d4e29d795a6ba8e93c4d98d793f92e0510bc9acf54d9

Observation db51214f-fc6f-46d5-bdf4-9f491def715e · outbound

This paper cites Learning Radiance Fields from a Single Snapshot Compressive Image.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Learning Radiance Fields from a Single Snapshot Compressive Image

Reference 15

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verified exact
local_arxiv, observed 2026-08-14T05:34:06.837041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.361327Z digest=sha256:7e889ee18e7512fff8b4f2421b5d011f50ba3bb4e79583b79bb2fb97fbec947b

Observation f15bb66d-d1e4-4dad-b984-c5f01b7e5fa7 · outbound

This paper cites SCI- Gaussian: Optimizing 3D gaussian radiance fields from a snapshot com- pressive image,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors SCI- Gaussian: Optimizing 3D gaussian radiance fields from a snapshot com- pressive image,

Reference 16

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raw_fallback, observed 2026-08-14T05:34:07.252742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.366172Z digest=sha256:92b9a4a3ac8950ca1a0dbe11768e38ce1964b488f0fcdf35ed020572223e8340

Observation b8fd7c84-ed7d-4b72-b1ce-92d7c1722d80 · outbound

This paper cites VGGT: Visual geometry grounded transformer,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors VGGT: Visual geometry grounded transformer,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.370837Z digest=sha256:45ea2fc99b7d91f879d73b389d17679e789b9d2caeca0df04e5b1d2f10254a42

Observation 5581c227-75a3-4432-bbd3-aaeab0750f6a · outbound

This paper cites Snapshot compressive imaging: Theory, algorithms, and applications,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Snapshot compressive imaging: Theory, algorithms, and applications,

Reference 18

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no resolver link, observed 2026-08-14T05:34:06.375275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:34:06.375275Z digest=sha256:8566355d32db6e9961805bbb80c6778c77ce795996d52aa56de1407ac547cd83

Observation 683ac974-207a-48ac-994b-b6f932a9565c · outbound

This paper cites Shearlet enhanced snapshot compressive imaging,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Shearlet enhanced snapshot compressive imaging,

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-14T05:34:07.209243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.379665Z digest=sha256:1a776aced10f5253ab249af3bec894d5f116e9399b5da8808285bebd328bafae

Observation 38d88e5c-cba7-465c-9351-5cd8e68c24f4 · outbound

This paper cites Generalized alternating projection based total variation mini- mization for compressive sensing,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Generalized alternating projection based total variation mini- mization for compressive sensing,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-14T05:34:07.191807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.384040Z digest=sha256:a237f99f20313938cea849451cd83ec5489370394ea8f6b9a586c193890e2467

Observation 38450902-2dfb-4cd4-93a7-4b77fa10dc95 · outbound

This paper cites Hybrid CNN-Transformer architecture for efficient large-scale video snapshot compressive imag- ing,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Hybrid CNN-Transformer architecture for efficient large-scale video snapshot compressive imag- ing,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-14T05:34:07.175456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.388504Z digest=sha256:2bed8e76dabb16b518bce4bf74e9a7e985ae13a5bb42f8238da19ea59dfb9c29

Observation 0a4dcbff-c985-4af4-ba10-052ac2efa8c9 · outbound

This paper cites Attention is all you need,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Attention is all you need,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-14T05:34:06.393042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:34:06.393042Z digest=sha256:380c7fb0daa57cd961d4c1bb6d5554263453178dc9ebc753a6481e98a2c6197c

Observation eb6c233a-f8c0-4b24-b9ef-318dc2d68412 · outbound

This paper cites VGGSfM: Visual geometry grounded deep structure from motion,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors VGGSfM: Visual geometry grounded deep structure from motion,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:34:07.148373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.397606Z digest=sha256:f815ab44818e55fbe02682ee14dcbcca8df77f9734b920e8203717f80f88cd94

Observation d96ee434-8bf8-4d43-a606-bedf6d2021c6 · outbound

This paper cites MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion

Reference 24

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unresolved
no resolver link, observed 2026-08-14T05:34:06.402422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:34:06.402422Z digest=sha256:471dc5f50ef5c390cb9f3e4fb1a5e4331a9b3ddfc7e993aefde85bc9dcfedff5

Observation 97b1b8f1-e2e3-40a7-b334-85a814874a85 · outbound

This paper cites Pow3R: Empowering unconstrained 3D reconstruction with camera and scene priors,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Pow3R: Empowering unconstrained 3D reconstruction with camera and scene priors,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-14T05:34:07.131868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.407604Z digest=sha256:5eb404c92cebd7f0e31e590e92f26667962c043d7b1bea5dd32f08b518cea927

Observation 0551aa89-f44c-488e-a526-5a0548123985 · outbound

This paper cites Fast3R: Towards 3D reconstruction of 1000+ images in one forward pass,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Fast3R: Towards 3D reconstruction of 1000+ images in one forward pass,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-14T05:34:07.115938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.412417Z digest=sha256:6c98e26738df98969fa13217e9d9517584d5a424e1cb246716d7ce4a32203c7d

Observation ce327053-5afe-41c9-9bcd-d6a9b77cc102 · outbound

This paper cites MegaSaM: Accurate, fast and robust structure and motion from casual dynamic videos,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors MegaSaM: Accurate, fast and robust structure and motion from casual dynamic videos,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-14T05:34:07.099213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.417207Z digest=sha256:87903316becf561e9077b129630e60039e92586e025dc8225331fa54a83ef911

Observation 9892e9b0-4d6d-481c-9a54-90e3eeac5361 · outbound

This paper cites DUSt3R: Geometric 3D vision made easy,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors DUSt3R: Geometric 3D vision made easy,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-14T05:34:07.082146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.422083Z digest=sha256:1747b3696d564cf1cacb5ba04d4a4f1899e95ed55b4fd0bd06dd485c38cc5397

Observation 58c845e4-2d9a-427b-8653-09f745999cfa · outbound

This paper cites $\pi^3$: Permutation-Equivariant Visual Geometry Learning.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors $\pi^3$: Permutation-Equivariant Visual Geometry Learning

Reference 29

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unresolved
no resolver link, observed 2026-08-14T05:34:06.427569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:34:06.427569Z digest=sha256:4c9d417c72ed2ae81149e142aa63ea6c44a8c987ecaddd698e0f0bde67a76d31

Observation dc82a8c2-4804-4d1b-93bd-7feb294dc2b4 · outbound

This paper cites DIFIX3D+: Improving 3D reconstructions with single-step diffusion models,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors DIFIX3D+: Improving 3D reconstructions with single-step diffusion models,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-14T05:34:07.064983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.432633Z digest=sha256:992e2b8ea7ab9e33c5867c82658b003c178b613b2bdf87913ef74e6e49ed6032

Observation b9f200c5-970d-4d0f-9711-b0a226e6ff83 · outbound

This paper cites Breaking the vicious cycle: Coherent 3D gaussian splatting from sparse and motion-blurred views,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Breaking the vicious cycle: Coherent 3D gaussian splatting from sparse and motion-blurred views,

Reference 31

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unresolved
no resolver link, observed 2026-08-14T05:34:06.437297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:34:06.437297Z digest=sha256:7634442cba5211959e215f85c6937060313f0ec410ed83c60777e44e7ff16ac3

Observation 2458d4b3-60db-4770-9270-9484acedcf8c · outbound

This paper cites GSFixer: Improving 3D Gaussian Splatting with Reference-Guided Video Diffusion Priors.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors GSFixer: Improving 3D Gaussian Splatting with Reference-Guided Video Diffusion Priors

Reference 32

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no resolver link, observed 2026-08-14T05:34:06.445174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:34:06.445174Z digest=sha256:6c002769e1931664ecf74270d5b646726e0e6b44940898b0684d0eb279b63a38

Observation bdfa4a5a-4999-484c-8898-28a72ffb7899 · outbound

This paper cites FixingGS: Enhancing 3D gaussian splatting via training-free score distillation,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors FixingGS: Enhancing 3D gaussian splatting via training-free score distillation,

Reference 33

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no resolver link, observed 2026-08-14T05:34:06.449774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:34:06.449774Z digest=sha256:7100a1d64d1eea7ac0969a81306b3816fb1eb03c12a397a1847eca2e691aee4d

Observation 5356e254-99bf-45c0-8384-e026547a3095 · outbound

This paper cites VideoScene: Distilling video diffusion model to generate 3D scenes in one step,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors VideoScene: Distilling video diffusion model to generate 3D scenes in one step,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:34:07.048837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.454330Z digest=sha256:489c347c650f75f1f6db65919aefda7076bef92e53f7c7827208c278d3c5b899

Observation 3b2672dd-73b4-44be-9eb6-450da8790e64 · outbound

This paper cites Structure-from-motion revisited,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Structure-from-motion revisited,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:34:07.032775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.458813Z digest=sha256:6a96b8f4d41e751887e675d063c1a56eb4f09786e8411108b355ae1e2cb966de

Observation ff040a00-fdfa-4337-a716-262a56a42656 · outbound

This paper cites Deblur-NeRF: Neural radiance fields from blurry images,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Deblur-NeRF: Neural radiance fields from blurry images,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:34:07.016549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.463888Z digest=sha256:60418a76e61734d6df789803f77f796f1efc837bfe544ff475aea7f3406db143

Observation d66cd75f-340b-4dd3-a868-fd1d5dd4db57 · outbound

This paper cites Large scale multi-view stereopsis evaluation,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Large scale multi-view stereopsis evaluation,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:34:06.999805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.469608Z digest=sha256:e3310273cc2daf13e3ae12d1d2e559fea3aa4a201eebff71f03a369bc4bd2aff

Observation b8816e3b-3eb2-44aa-94e4-0f9aa9bebf08 · outbound

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

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Local light field fusion: Practical view synthesis with prescriptive sampling guidelines,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-14T05:34:06.474260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:34:06.474260Z digest=sha256:952cc8eef092a850ff4ed7492243480965b6aec3ff9d5d504a6c0b5be61acb8c

Observation 7fb4c739-dc60-4603-a292-7faa268adb8d · outbound

This paper cites Nerfstudio: A modular framework for neural radiance field development,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Nerfstudio: A modular framework for neural radiance field development,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-14T05:34:06.479085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:34:06.479085Z digest=sha256:7c44b07c5d618bfd95bd19efbe689f4e8f372bc08021bd12e17d84dbe685841a

Observation 4d6dc85b-e0d4-4e9d-a7a6-ebb41ec69df7 · outbound

This paper cites Revising densification in gaussian splatting,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Revising densification in gaussian splatting,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:34:06.973463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.483725Z digest=sha256:b3822714c4c4684aac33c4ccebdc8e5c91eef92f6b7440d81e4653492ff05d3c

Observation 95ca607e-4ccc-4f19-ab0c-ba2f4e4bd455 · outbound

This paper cites 3D gaussian splatting as markov chain monte carlo,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors 3D gaussian splatting as markov chain monte carlo,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:34:06.956557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.488404Z digest=sha256:8d0cd44c1f44025dbd4cc25ddb60b7f3c37500e7b06785fd450b95c2babe07eb

Observation ffd4de8a-8c55-4493-b841-66a17f38ce82 · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction,.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Tanks and temples: Benchmarking large-scale scene reconstruction,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:34:06.939237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.492993Z digest=sha256:f39aac2366d47b6cbc2e15af0daeae2e341bf964fab32c6aaaa99b88d21b6666

Observation 2b5ad852-f543-4f93-8155-974972623e71 · outbound

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

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Mip-NeRF 360: Unbounded anti-aliased neural radiance fields,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:34:06.921749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.497599Z digest=sha256:402df8b2e12eebf97cecf42eef396346940aaba543f942f182ef4d09d174d052

Observation b2eddcd8-0f37-445d-92a5-5af7ff79b1a9 · outbound

This paper cites Decoherence by electromagnetic fluctuations in double-quantum-dot charge qubits.

GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors Decoherence by electromagnetic fluctuations in double-quantum-dot charge qubits

Reference 44

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T05:34:06.549343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:34:06.502492Z digest=sha256:d4658b516e796ef5ea16377cf2e7cbc4f130206081d31a9647db151c83d7b668

Pith citing papers

No inbound Pith citation observations are available.