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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 19 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.300337Z digest=sha256:18bc37cdd1fde448b171de98e61d40681c8a1016bc30cddd0af7b5a6883c6f1d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.305237Z digest=sha256:e17d21b8f967ebf5fc5103342d0332c062bc71dcd9fdfc6fffe3e37b3bb837fb

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.310636Z digest=sha256:8714dada53fc00ac7a0d00a58757b1d46537d766e885dd28879b3ed98f09e432

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.315636Z digest=sha256:3a2bdd24df22667e21bcfb809f43ab0cb191353507496b83e6acdfe753f5a08d

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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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.320372Z digest=sha256:eb766507a0d5482aea9fbaa213aa871f743d5f37941f2c7f698dadc39312eab3

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.325565Z digest=sha256:1c655659f10daa457f9b476531eb793296d1b0a72cb2927c12fbfedf858cddbf

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.330092Z digest=sha256:c8c04243ab8f83df2845d78e3eb8f8801a3c17cd3032c8f5de65b2e8907a0466

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.334345Z digest=sha256:32d33d4e045d284322d89846a31d6667aa0bb4c1b0d88ffdf6160825fe01d47e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.338745Z digest=sha256:0e0b30529dd317fae8b0ff3c3daf1a993a796f0c441a8d0634ae43b5d4416961

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.343257Z digest=sha256:aeb928e0159414fe24cefebdf3b53d1298b511a62d9ebde3d5c03728ff9a1e50

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.347996Z digest=sha256:eaa26fef565f37137dc7874e5593c82e0a6d5ab69803d98f16ff6baf5c1f463a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.352452Z digest=sha256:b9994dd8910f2999a156cacb9cba20c9aedd92f84da75662f7d4d92df58c0ff8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.356907Z digest=sha256:4ab4b930d5cc487571f3fec408c33db1bc0471ab649b928ff044fa9772e96fbd

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.361327Z digest=sha256:22ac9ae4a9bb4395415970cea32d211a589f6c99e7f535a53c767cfbdac300b5

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.366172Z digest=sha256:852e229ca4d0d54379dae364378ad60fdf54c026c2f3b0ddc5f8f56ff6fdf344

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.370837Z digest=sha256:fee17cabe1042000e942cd0d751142c2a29e85c8085e4c622644157acbbed06b

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:e2aef4700a8c4f16bcf1a5d6c1f467a961f51c100300e72188eff1ec7a3f45e8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.379665Z digest=sha256:f7ca8ff694545412ae55b4c41085bbee2d0c66479209d178c459ba6eee1a02d6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.384040Z digest=sha256:55c602c74c6cc190c0760d074af60e938f3cb70feb432c503c19841206e3ee66

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.388504Z digest=sha256:bc7e3f2a7204872c83d194bebe9c776fbddc21da7eeed0aca1ea466eabba0894

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:ef718cf8f0122bae6a6869107c9439424ed88dd14d1a9cd622ce3d7130a9357c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.397606Z digest=sha256:ed92fb208dce5d9c24fa00dac75c530ff8c49140fe520a06ef21225cc7d969f1

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=sha256:158f05713a9df68bf3da266f1e47d5f286ab63c69119ce9f54998e9d1e762b19

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.407604Z digest=sha256:f23cecc53c92b892d74024a3381cbf23ad15611646b78d5eac1652cbc7ab9bdb

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.412417Z digest=sha256:c39c62861d8bd8bc0827567e8e72f96c96ffc9c4cf865f4be81d573fbf53ee54

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.417207Z digest=sha256:20b542b474c58ba65edf6433b6c7136ea8ffd540ce885fefb70a01c26561692f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.422083Z digest=sha256:e770b0760a132a835bf191d24ed1af74e9d3f4880ad6c811bee6eb559739a54d

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=sha256:415dd580b3d18d6fc031608129919495c873e2ef72494b5125713477c9caf3dd

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.432633Z digest=sha256:ab3acb20278a529d9a40ef7444c93303ececa231f01ea9c298451e2c7f06a446

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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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=sha256:1f906f55cbbba0b8e0069fc1cbcb0124dce3e7e0074074fbafffd6db26f4fe31

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=sha256:3b783461104bdabc52e5628c14c60542bfc1d99e9ac58d3b01c0872acde4666d

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:f05ebda333402db1e304d6450bc4662611f70a41ad9dc38f119069f26d5e2549

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.454330Z digest=sha256:a5d8502c3d8b86263f261148cebfbfcadd3adcb5420f01dd8dfd8e07358ef511

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.458813Z digest=sha256:b3ac0c1815cf0555f225b0dfdb1c665d98afb622a0754775d4d34d4f110bdb20

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.463888Z digest=sha256:6cc83f9964ef52710ce27e942b4802ebe441b986608ec21acc3e4c7cfd1412f4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.469608Z digest=sha256:6650ae8c64ab792c11fd2c26d65a870558ef9bb91a9c885b30147e12b97b6251

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=sha256:19827afda10b3706c9786b0866e632fcdbc9e2e2c1b1a48528a7372b7779ff1f

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=sha256:677e278bb658a7b4ee33d54640f2d13bc9a38ff2fa256f99a2e0625718be607e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.483725Z digest=sha256:76d5dbcaccad31767aa274fb5a813c32913f260c69c89ae320ebfdff95a5cdb6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.488404Z digest=sha256:54b34760a27cc12d71460fbfd7dfe638420c060255286aa0a95cc2c846e5cdb8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.492993Z digest=sha256:3cbb16ae5672084f0025874765ae3e98738802525564a4093a97d34b4d0ab361

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.497599Z digest=sha256:48d83ee27fc0af64302e008151665ae8b993130d6724da6c8a12b64338210f05

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:34:06.502492Z digest=sha256:a8b021988e131898d2efd3f800f9ab5127e387832d450b2ed31351757fb62d5e

Pith citing papers

No inbound Pith citation observations are available.