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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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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=2026-08-14T05:34:06.294847Z digest=sha256:40061fefd16cd39ba818437a92d254fd50f42bd3d4b81dbbdb5c4f7d97080cc6

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:ab76e2ac3e18f83d233f373815ff77a77e65b6949dc0e000a1dae37c5964851f

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:fc9eff4f449cf393a7e3bc281e44167f2b0d962afddb917b30854edc197e5635

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=sha256:163330809998fb4ea8b4e616c9445fd3969a8cafc07bdac2dfc55b97003f9285

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=sha256:5b5895a4df694da0e6db5aefb399be2382aaf27f1e36097204208e8a48bd2446

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=sha256:94fb75c226e0ac96fc8e6b78a8cc6e6f58b33fb1ba69f95a502a06c53f8be098

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:d7c768c604f073be00abae58ee24cd3d4c7ca3cdcdcd97270374573efc95cca6

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:f9068451033f483cbc2e3b905dc369b41b47df61015407d68d7d9a561373d157

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:d73761e5f5a837dfd94ebe5efbf348cbf7be5be2272080b37c9ecaa749142336

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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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=sha256:76c2c7b8dae10a08a815cc07589e679e16626ed1559db07f1bdf5141513672c0

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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raw_fallback, observed 2026-08-14T05:34:07.321441Z

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=sha256:1ef93af975fb768e9ffdcec612410ad31c8e487fb0a609dc5429ce8524757e5d

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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verified fuzzy
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=sha256:7dc4e84659b05b8ca968e16a504a97e200b7177c9015de6e6e4bfb535ad2b64a

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=sha256:445a89e900a92234ccc60c19edacb2313a4ebffc262c229d231378b5c45e5913

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=sha256:5c67cb49c78135f8a33bf8a8beec4c9fa5f1951223a84a674de80cba43961fc9

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=sha256:3b4e385e45d2299f6f70a63f47372d47221b634d687a8828da2a613b267af63f

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=sha256:717bbd8fb406064adc64737534c40b407c65860587d872edf6195896b241d904

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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raw_fallback, observed 2026-08-14T05:34:07.236489Z

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=sha256:35034725b70f7ca95715721c7c8c3bb35fa5ad2a7560b7e702c31e0c56068697

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=sha256:73ab45fdd1f2211f726fb143d59212cff5ec3d9f3eb981e056027635f5b1cfd2

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

Resolution
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=sha256:2fb70dbd1617adf2d85f7e849fe75617d64682ad5d59a231a44f00b4015e4902

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=sha256:13fb797370103674fac3d508113a90f93fbf4bbb7bd7c2d6ad46f7d201449d05

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:b75f7f03ba60e09e8ea883329a925013e6b725e5f0b8795e36029199a6a88398

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

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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:a2132fc85424e462fde37925f091bc46b368a4c9307ec39ba5c2f5f1663d5597

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=sha256:247b32ed88ac276938796c055cf42db8e2437bf5ae2173c9d8fb320bc386d948

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:f9fdcb73b7c53b5e7e0fb31ea96e8a8a5480361f891f02f834a0862a68283ace

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=sha256:9e57faf57eceead69eabc669ffa6c3c52f6d29e291c036ea153aada226a53995

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

Resolution
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=sha256:8bd89d5c4816f85dbf9f577e629dce8b95dbda2f86ad22863db42135bad3eed2

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=sha256:0d95ae08d847decd6a560223bcf12a57712bfe9e1a4d978eb88868b1a5ee0661

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=sha256:5aa298d96ba2080d53d681fa7c686f0ee3d92289e47ce7ee89dff9a063c9f350

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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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:f5cca3ebe47aed9740a53eed2be0c78a383fc8daa5a97086f12369b978ebc600

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:cd2688594647fdcb1d848d502cff7301f50dd29d4dd0eeb1d5a5118dc8f7b863

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=sha256:25db1374200277fc6f5858dd3970a43da4d0aa1ad26bd7fa2915d0a69deb5dae

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=sha256:4bc5875fb4dd2e9db4b4516f84c1de7a0409de7f17011d33e35d5eca284e0ec0

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=sha256:417370d7e57cc216b2c564e933abbad7d4c32a3ed56b396843404cd7bc377e70

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=sha256:7b38f8f3d4741eb557098b6266d45535aea1e8b9a48989d782baf8f8211d48d3

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:dc9cbf2a3cdfa36f1c97550c6333b16cbde70b17c9ed92232aa5adf26dd2d786

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=sha256:6848fb536582794b68b24c23b5324a73c7e73538d4a17bef6ecfed0229c9558d

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=sha256:728bfdf0f0c2865d70a37c6a24606f6ec746b835b1ae5855f95e71918385da77

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:d7c67b2728622f1466a92068cbd861fbc5b605a73af07e35845137e7a82cfa0e

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=sha256:9a8ea8dd0a7f829aac3ce9ddbaccba0349126619822aabf8e23665ef2eadd002

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:cf798f072d51b76ea562381dfcaedd95b310a820afb48b8fa2d3797656c0efbe

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:d7a11a92e8f03812d16d267d9ca41f8bff80ebf43e09d3eb8f45a5c77c52a217

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=sha256:8c904d0e2d7c698fa367234ccc3e7cb99d9dcf1a09d30ce987dcf61bfc639ccc

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:d1c2393d875b9b02ad43f9210e582a03c2a4054752d6df42581dfc7d8ab197c7

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:b5da3a8bcac4ed4339f674fe26a184bd059738b21fdb7f7fbf463dcafb335350

Pith citing papers

No inbound Pith citation observations are available.