Paper Citation Record · LEDGER

Learning Radiance Fields from a Single Snapshot Compressive Image

As of 16 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 1 inbound Pith citation observation for arXiv:2412.19483.

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

pith.paper-citation-record.v1
2412.19483 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:22:26.372743Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:34:06.361327Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T05:34:06.829845Z

Reference resolution

70 of 70 outbound references displayed

verified exact0
verified fuzzy53
unresolved17
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 66394da8-ca40-47b4-a205-d642d1dfe39e · outbound

This paper cites Snapshot compres- sive imaging: Theory, algorithms, and applications,.

Learning Radiance Fields from a Single Snapshot Compressive Image Snapshot compres- sive imaging: Theory, algorithms, and applications,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.588103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 40408836-c9a2-4373-a0d2-9eec0d0aa975 · outbound

This paper cites Coded aperture compressive temporal imaging,.

Learning Radiance Fields from a Single Snapshot Compressive Image Coded aperture compressive temporal imaging,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.573700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d0327eac-b612-463c-b5c9-edfb5345fedf · outbound

This paper cites Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information,.

Learning Radiance Fields from a Single Snapshot Compressive Image Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.559625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 374ac601-187a-4109-bb4c-69cebc8915c2 · outbound

This paper cites Compressed sensing,.

Learning Radiance Fields from a Single Snapshot Compressive Image Compressed sensing,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.545589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fae76533-7e30-4530-b0e9-b7a781961f75 · outbound

This paper cites Generalized alternating projection based total variation minimization for compressive sensing,.

Learning Radiance Fields from a Single Snapshot Compressive Image Generalized alternating projection based total variation minimization for compressive sensing,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.531379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 942e2c52-0331-4b09-a55a-4bb838c14c08 · outbound

This paper cites Generalized alternating projection for weighted-2,1 minimization with applications to model-based compressive sensing,.

Learning Radiance Fields from a Single Snapshot Compressive Image Generalized alternating projection for weighted-2,1 minimization with applications to model-based compressive sensing,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.516869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7f4522a6-3d7c-430a-b4ba-0df116aeca2a · outbound

This paper cites Rank minimization for snapshot compressive imaging,.

Learning Radiance Fields from a Single Snapshot Compressive Image Rank minimization for snapshot compressive imaging,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.502245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 40305fde-5e3c-490b-9f77-f4f44943888c · outbound

This paper cites Deep learning for video compressive sensing,.

Learning Radiance Fields from a Single Snapshot Compressive Image Deep learning for video compressive sensing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.487257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 691c7dde-ca9c-48aa-9e66-b4307740d4da · outbound

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

Learning Radiance Fields from a Single Snapshot Compressive Image Birnat: Bidirectional recurrent neural networks with adversarial training for video snapshot compressive imaging,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.472204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f0ec9bac-9bbe-4b90-9934-2a71bb85dfc3 · outbound

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

Learning Radiance Fields from a Single Snapshot Compressive Image Memory-efficient network for large-scale video com- pressive sensing,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.456405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 630a3c2c-7f8f-4fd5-89b6-91275efb8600 · outbound

This paper cites Deep tensor admm-net for snapshot compressive imaging,.

Learning Radiance Fields from a Single Snapshot Compressive Image Deep tensor admm-net for snapshot compressive imaging,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.441573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation beb26fc2-9bbf-469f-9416-f14b87c1688c · outbound

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

Learning Radiance Fields from a Single Snapshot Compressive Image Spatial-temporal transformer for video snapshot compressive imaging,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.426880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2bafb47b-651b-4a83-8f9f-5e17f401943c · outbound

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

Learning Radiance Fields from a Single Snapshot Compressive Image Efficientsci: Densely connected network with space-time factorization for large-scale video snap- shot compressive imaging,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.412372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ff036879-32ce-4e00-8901-a9bb6f9daaa1 · outbound

This paper cites Hybrid cnn-transformer architecture for efficient large-scale video snapshot compressive imaging,.

Learning Radiance Fields from a Single Snapshot Compressive Image Hybrid cnn-transformer architecture for efficient large-scale video snapshot compressive imaging,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.397399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1e1148d4-4f2d-44b0-abe3-70dc83a02e0b · outbound

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

Learning Radiance Fields from a Single Snapshot Compressive Image Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T00:22:26.119097Z

Source-reported events for the cited work

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Observation 39f048a7-7412-45de-8d96-2f46f2fa3e50 · outbound

This paper cites Structure-from-motion revis- ited,.

Learning Radiance Fields from a Single Snapshot Compressive Image Structure-from-motion revis- ited,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.372750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3d407ef3-2399-4713-903e-eddc13409362 · outbound

This paper cites 3d gaus- sian splatting for real-time radiance field rendering.

Learning Radiance Fields from a Single Snapshot Compressive Image 3d gaus- sian splatting for real-time radiance field rendering

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.357129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6f6c4d55-9217-48ea-befc-6d8c361cb393 · outbound

This paper cites 3D Gaussian Splatting as Markov Chain Monte Carlo.

Learning Radiance Fields from a Single Snapshot Compressive Image 3D Gaussian Splatting as Markov Chain Monte Carlo

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T00:22:26.132749Z

Source-reported events for the cited work

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Observation 09bc38ca-fb01-4f0f-ad05-fa83f04c2309 · outbound

This paper cites SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image,.

Learning Radiance Fields from a Single Snapshot Compressive Image SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.342509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3246fac8-0926-43fe-b14a-3e6846ee9a8d · outbound

This paper cites Shearlet enhanced snapshot compressive imaging,.

Learning Radiance Fields from a Single Snapshot Compressive Image Shearlet enhanced snapshot compressive imaging,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.327046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2a18da75-edc6-44df-a2ce-9f2705d876c9 · outbound

This paper cites Dis- tributed optimization and statistical learning via the alternating direction method of multipliers,.

Learning Radiance Fields from a Single Snapshot Compressive Image Dis- tributed optimization and statistical learning via the alternating direction method of multipliers,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.312394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c6533a72-7b8c-4168-bc21-89db08976bcb · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Learning Radiance Fields from a Single Snapshot Compressive Image U-net: Convolutional networks for biomedical image segmentation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.297240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a351bfae-a7f7-42d8-80f0-ea6e500a93ac · outbound

This paper cites Generative adversarial nets,.

Learning Radiance Fields from a Single Snapshot Compressive Image Generative adversarial nets,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T00:22:26.155272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f093249-bdab-4a65-bdab-9b845493bd03 · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution,.

Learning Radiance Fields from a Single Snapshot Compressive Image Perceptual losses for real-time style transfer and super-resolution,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.272988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d6582ae5-8a3a-49c0-84dd-0cdb7971b068 · outbound

This paper cites l-net: Reconstruct hyper- spectral images from a snapshot measurement,.

Learning Radiance Fields from a Single Snapshot Compressive Image l-net: Reconstruct hyper- spectral images from a snapshot measurement,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.257890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b2e45a08-06a2-4881-bee6-75f0c68e43ed · outbound

This paper cites Deep residual learning for image recognition,.

Learning Radiance Fields from a Single Snapshot Compressive Image Deep residual learning for image recognition,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T00:22:26.168471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9f16d35-fd3e-4d07-9bc7-df42538e965a · outbound

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

Learning Radiance Fields from a Single Snapshot Compressive Image Plug-and-play algorithms for large-scale snapshot compressive imaging,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.232998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1b57e442-feeb-47cc-9e92-b3605650bee1 · outbound

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

Learning Radiance Fields from a Single Snapshot Compressive Image Plug-and-play algorithms for video snapshot compressive imaging,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.217460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3b637c50-c78d-46ca-8b19-0b71b65d72e1 · outbound

This paper cites Attention is all you need,.

Learning Radiance Fields from a Single Snapshot Compressive Image Attention is all you need,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T00:22:26.182286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 469fdcfb-69ea-47b2-a842-0e391ffb9fc2 · outbound

This paper cites Stylenerf: A style-based 3d-aware generator for high-resolution image synthesis,.

Learning Radiance Fields from a Single Snapshot Compressive Image Stylenerf: A style-based 3d-aware generator for high-resolution image synthesis,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.193574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cb984787-5847-4ab3-bb3c-948308acae25 · outbound

This paper cites Bungeenerf: Progressive neural radiance field for extreme multi-scale scene rendering,.

Learning Radiance Fields from a Single Snapshot Compressive Image Bungeenerf: Progressive neural radiance field for extreme multi-scale scene rendering,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.178976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c1e7ee2e-b5b2-4043-9d01-40f62671243e · outbound

This paper cites Mega-nerf: Scal- able construction of large-scale nerfs for virtual fly-throughs,.

Learning Radiance Fields from a Single Snapshot Compressive Image Mega-nerf: Scal- able construction of large-scale nerfs for virtual fly-throughs,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.164736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 20598b26-c742-4bfe-8a96-19826853dda7 · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimensional domains,.

Learning Radiance Fields from a Single Snapshot Compressive Image Fourier features let networks learn high frequency functions in low dimensional domains,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T00:22:26.200144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de8082b2-6694-4009-9e66-4bf897f0c402 · outbound

This paper cites Rign- erf: Fully controllable neural 3d portraits,.

Learning Radiance Fields from a Single Snapshot Compressive Image Rign- erf: Fully controllable neural 3d portraits,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.141394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fde3f9fc-1758-446d-b93e-a22ba6d9b189 · outbound

This paper cites Dynamic neural radiance fields for monocular 4d facial avatar reconstruction,.

Learning Radiance Fields from a Single Snapshot Compressive Image Dynamic neural radiance fields for monocular 4d facial avatar reconstruction,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T00:22:26.209428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 511099c4-193a-4c77-8de3-68b8cc089dea · outbound

This paper cites Animatable neural radiance fields for modeling dynamic human bodies,.

Learning Radiance Fields from a Single Snapshot Compressive Image Animatable neural radiance fields for modeling dynamic human bodies,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.117106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dfdefc30-1089-41ef-b726-348d96726c9f · outbound

This paper cites Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans,.

Learning Radiance Fields from a Single Snapshot Compressive Image Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.102512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 155621d0-484f-4b07-8e08-ce8b0302fd84 · outbound

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

Learning Radiance Fields from a Single Snapshot Compressive Image Hdr- nerf: High dynamic range neural radiance fields,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.088246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 57e4c449-0b95-4aa3-8b3c-3cd975b32017 · outbound

This paper cites Learning object-compositional neural radiance field for editable scene rendering,.

Learning Radiance Fields from a Single Snapshot Compressive Image Learning object-compositional neural radiance field for editable scene rendering,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.073400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fe23a9a8-a540-4094-820f-81ca2cbdcb73 · outbound

This paper cites Nerf- editing: geometry editing of neural radiance fields,.

Learning Radiance Fields from a Single Snapshot Compressive Image Nerf- editing: geometry editing of neural radiance fields,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.057189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c6f9fb75-c691-4909-b0e3-fa613dacfb2a · outbound

This paper cites Removing objects from neural radiance fields,.

Learning Radiance Fields from a Single Snapshot Compressive Image Removing objects from neural radiance fields,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.042384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7146362d-e433-476f-9fb9-9466c29d2e2f · outbound

This paper cites Clutter detection and removal in 3d scenes with view-consistent inpainting,.

Learning Radiance Fields from a Single Snapshot Compressive Image Clutter detection and removal in 3d scenes with view-consistent inpainting,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.027803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 972a3a0a-9989-4b08-b54f-82783822fd82 · outbound

This paper cites Neural Reflectance Fields for Appearance Acquisition.

Learning Radiance Fields from a Single Snapshot Compressive Image Neural Reflectance Fields for Appearance Acquisition

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T00:22:26.247468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e710d45d-404f-4133-bcf1-f1f9126d81fb · outbound

This paper cites Nerd: Neural reflectance decomposition from image collections,.

Learning Radiance Fields from a Single Snapshot Compressive Image Nerd: Neural reflectance decomposition from image collections,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:27.012837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6238b0a6-0706-4759-be4d-cac4fb896703 · outbound

This paper cites NeRF--: Neural Radiance Fields Without Known Camera Parameters.

Learning Radiance Fields from a Single Snapshot Compressive Image NeRF--: Neural Radiance Fields Without Known Camera Parameters

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T00:22:26.257162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f7b9806-a10d-4f4b-be72-68e39c821ab4 · outbound

This paper cites Self-calibrating neural radiance fields,.

Learning Radiance Fields from a Single Snapshot Compressive Image Self-calibrating neural radiance fields,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:26.998082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2d59a082-81db-40d4-879c-4b130e4e1308 · outbound

This paper cites imap: Implicit map- ping and positioning in real-time,.

Learning Radiance Fields from a Single Snapshot Compressive Image imap: Implicit map- ping and positioning in real-time,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T00:22:26.266672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2c32a6c-4bf1-40d7-a909-be68774f7f31 · outbound

This paper cites Gnerf: Gan-based neural radiance field without posed camera,.

Learning Radiance Fields from a Single Snapshot Compressive Image Gnerf: Gan-based neural radiance field without posed camera,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T00:22:26.271153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26f8c68b-e7b7-4d52-b70b-89e75ebdc70e · outbound

This paper cites Barf: Bundle- adjusting neural radiance fields,.

Learning Radiance Fields from a Single Snapshot Compressive Image Barf: Bundle- adjusting neural radiance fields,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:26.964219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d162f673-109b-472b-9958-e58beae35949 · outbound

This paper cites Bad-nerf: Bundle adjusted deblur neural radiance fields,.

Learning Radiance Fields from a Single Snapshot Compressive Image Bad-nerf: Bundle adjusted deblur neural radiance fields,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:26.949578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 52b04e34-3cd6-4264-a5b9-1ed6caeabac7 · outbound

This paper cites TensoRF: Tensorial Radiance Fields,.

Learning Radiance Fields from a Single Snapshot Compressive Image TensoRF: Tensorial Radiance Fields,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:26.934899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 137f1729-15fe-475d-910a-916552a2d9a2 · outbound

This paper cites Plenoxels: Radiance Fields without Neural Net- works,.

Learning Radiance Fields from a Single Snapshot Compressive Image Plenoxels: Radiance Fields without Neural Net- works,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:26.920664Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7d9f24e7-0ff9-45ea-a6df-401f7ef45a3a · outbound

This paper cites Hexplane: A fast representation for dynamic scenes,.

Learning Radiance Fields from a Single Snapshot Compressive Image Hexplane: A fast representation for dynamic scenes,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:26.906449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 74936fe2-63da-42fc-9dc4-409babc8bcff · outbound

This paper cites Instant Neural Graphics Primitives with a Multiresolution Hash Encoding,.

Learning Radiance Fields from a Single Snapshot Compressive Image Instant Neural Graphics Primitives with a Multiresolution Hash Encoding,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T00:22:26.298707Z

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Observation 17360b22-53ba-47b0-bb89-ca0dcd1c0dfd · outbound

This paper cites InstantSplat: Sparse-view Gaussian Splatting in Seconds.

Learning Radiance Fields from a Single Snapshot Compressive Image InstantSplat: Sparse-view Gaussian Splatting in Seconds

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T00:22:26.303146Z

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Observation 7eee34d5-f79d-483f-a199-428fb1c81671 · outbound

This paper cites Dust3r: Geometric 3d vision made easy,.

Learning Radiance Fields from a Single Snapshot Compressive Image Dust3r: Geometric 3d vision made easy,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:26.891489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 479ee7e7-64ad-4e06-a01a-01435d23b291 · outbound

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

Learning Radiance Fields from a Single Snapshot Compressive Image Vggsfm: Visual geometry grounded deep structure from motion,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:26.876206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bc203ca2-78c5-4e83-a6cc-4a0228c03c22 · outbound

This paper cites Radiance fields from vggsfm and mast3r, and their comparison,.

Learning Radiance Fields from a Single Snapshot Compressive Image Radiance fields from vggsfm and mast3r, and their comparison,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:26.861163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a82d3867-8ed2-4895-9030-421d2f37e6ce · outbound

This paper cites Revising Densification in Gaussian Splatting.

Learning Radiance Fields from a Single Snapshot Compressive Image Revising Densification in Gaussian Splatting

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T00:22:26.321530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89686500-aec8-4eb0-a2fe-a7cfb73092ee · outbound

This paper cites Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splatting.

Learning Radiance Fields from a Single Snapshot Compressive Image Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splatting

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T00:22:26.326515Z

Source-reported events for the cited work

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Observation ff0f33ff-fa9c-4689-9bd4-e0438163717a · outbound

This paper cites Absgs: Recovering fine details in 3d gaussian splatting,.

Learning Radiance Fields from a Single Snapshot Compressive Image Absgs: Recovering fine details in 3d gaussian splatting,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:26.846253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 077a53b1-e76f-4812-9c98-06e4d1ca37b7 · outbound

This paper cites Image quality assessment: From error visibility to structural similarity,.

Learning Radiance Fields from a Single Snapshot Compressive Image Image quality assessment: From error visibility to structural similarity,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:26.831025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1b2c00fc-34f5-4aec-b465-03185071e4c9 · outbound

This paper cites Loss functions for image restoration with neural networks,.

Learning Radiance Fields from a Single Snapshot Compressive Image Loss functions for image restoration with neural networks,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:26.815249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 01afde73-04cb-4367-ba2f-8069bdf8f067 · outbound

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

Learning Radiance Fields from a Single Snapshot Compressive Image Local light field fusion: Practical view synthesis with prescriptive sampling guidelines,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:26.799442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1a63e15c-b748-4156-9b20-b43ef5bca526 · outbound

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

Learning Radiance Fields from a Single Snapshot Compressive Image Deblur-nerf: Neural radiance fields from blurry images,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:26.682942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 94e75e0f-d563-466d-adfe-44a4540fac73 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

Learning Radiance Fields from a Single Snapshot Compressive Image The unreasonable effectiveness of deep features as a perceptual metric,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:26.667461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation be4ee1b9-4e88-4ef7-a0d8-ca5ab38fc493 · outbound

This paper cites Nerf-pytorch,.

Learning Radiance Fields from a Single Snapshot Compressive Image Nerf-pytorch,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:26.650699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 366947ab-81ec-4b50-9e66-067341698da8 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Learning Radiance Fields from a Single Snapshot Compressive Image Adam: A Method for Stochastic Optimization

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T00:22:26.363525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f767a9a-db33-481b-8946-c0bd6f35d3b1 · outbound

This paper cites Exploring learning rate scaling rules for distributed ml training on transient resources,.

Learning Radiance Fields from a Single Snapshot Compressive Image Exploring learning rate scaling rules for distributed ml training on transient resources,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:22:26.634298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f71b1d27-aeb7-4e8a-ab30-a349dd20680f · outbound

This paper cites an unresolved cited work.

Learning Radiance Fields from a Single Snapshot Compressive Image Unresolved cited work

Reference 2015

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:22:26.618132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

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

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

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

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

Source-reported events for the cited work

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