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Paper Citation Record · LEDGER

Learning Radiance Fields from a Single Snapshot Compressive Image

As of 20 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 2026-08-20T06:33:59.587034+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
  • metadata mismatch0

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Unavailable: canonical work link unavailable.

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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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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raw_fallback, observed 2026-08-11T00:22:27.312394Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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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 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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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 2026-08-20T06:33:59.587034+00:00.

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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

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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 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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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 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+00:00.

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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

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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 2026-08-20T06:33:59.587034+00:00.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:22:26.200144Z digest=sha256:ea60bd01a6ec7d7518cc0fef835e9e4134b8f82c2f92b59512989af635614806

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.204611Z digest=sha256:e3e839cea17743a2c4a2f9ffc3a902231afb878bb0584999c5ca8de40f6cab63

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:22:26.209428Z digest=sha256:c0dae4b6d7a89cc078d8233091a1f3a5bf53d62a9e08de6ae5cc7b0b04eccc3f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.214242Z digest=sha256:72c1be6872b977faf2ec016a0a1a5af7a0298fa6c39f259a33aec5d2966368f6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.219121Z digest=sha256:6d947cc8722d9e46f4603fc9ca97c78a63d2161e14c34ed0dec7260cb9e952cb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.223850Z digest=sha256:81bf797c2b39323af3c58d6befac4b216b046e5c5644d7bc986cc037687cdef0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.228516Z digest=sha256:52bf4bc40d6a133fc1bde9778c3543a3bccbb67dd6f67983a643cdcf78b7886f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.233359Z digest=sha256:01990c9c576fbd6b57499dc767350fe4903785f96cd08488f6326a1388e226e2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.238107Z digest=sha256:205f4e245f73ae2a5d8210cc2625d957f4a7152ebd581a978dd431e7aee8c804

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.242992Z digest=sha256:59238c32e1e3f661944e0571082fc6327db32c089edc69e2cdc3a475e8ee329a

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.

source=pdf_text observed=2026-08-11T00:22:26.247468Z digest=sha256:dce56f0f3f59c51fd6a69feaca8cff6bee22fd8a6000d150c5db2790c5d12e65

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.252261Z digest=sha256:f5e74eb5f1f3cd72f455d7e9b2752408e36b2e6f91c68ca15c1072ef776bde4f

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.

source=pdf_text observed=2026-08-11T00:22:26.257162Z digest=sha256:50008c17d67228a689282c6149d1aaa70faa26c24a955287c658e8457e3db1c9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.262057Z digest=sha256:e2fc46a0aa7bada442edfa0ba0280f35b54e187e146798388102358f42fb26ec

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.

source=pdf_text observed=2026-08-11T00:22:26.266672Z digest=sha256:f7ac9b79b3ef8a503aab664b72c6a24d44f75522f89a4a3ddd52573431af67e8

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.

source=pdf_text observed=2026-08-11T00:22:26.271153Z digest=sha256:d6a0586da9d123d3d38e1b24f7d562557572dd6203fba9028db5b1e4f113e655

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.275504Z digest=sha256:a8818e73eff718f676ada207881dd49a7e4d9f67a0a4ca0695e72b268ea54bf6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.280218Z digest=sha256:160604a814c38d8b8f864c39d46ae41233f650257ea56b1fa97dd13053b2532d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.284728Z digest=sha256:e93a5f06c92604b0f08e166ebf5756f2a77ce4fbb07dce2ce0b42958bf462ef9

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.289343Z digest=sha256:a51b5f89d8fbcc66fac29434674a377eed8da9885c99edfdfc8a017e25d9618e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.294116Z digest=sha256:349ade593eac7b0cf0b62727aa2d1dcb3aa3074368d693ad5d14b58c5e94bfbe

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:22:26.298707Z digest=sha256:11099555cc2ba0d5436b7be4d778541a66c904c8b264a27a6f617193a076503c

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:22:26.303146Z digest=sha256:792a26d22db0ba8c8786bb1be5e48ad6f777e2e1218309cb62c3d3d1ced01682

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.307914Z digest=sha256:b55f3f6fd8b54ec696b7733f4bb5e048178415fd22720bab16eec410e9e786dc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.312484Z digest=sha256:f3783b4110cc5c7f45217b26bfe5ec8f92901614c54aa0cb0797e0c028928cfd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.317024Z digest=sha256:e51bb38330f18472b8638e05cfda51a039983388d93107174a3e20c635b1f16c

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.

source=pdf_text observed=2026-08-11T00:22:26.321530Z digest=sha256:7800e88d3edb7d5e40878c49a55c162a2d7fe88eed7ccd4e9378524713680109

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:22:26.326515Z digest=sha256:59d1e8e65d791e43a941a56e9bb5a53599766d7cf9d1721379f28e86f03bbb60

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.331439Z digest=sha256:91601a95a126d8299187cd08736bdc2d2d305d22bc6e4fc997820d424936923c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.335920Z digest=sha256:011f41417750f50691bb25cfdc91560e9704172c1df49a3bfb25004aaa7db12c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.340417Z digest=sha256:012920a787a72e5b6f806c758b8cbee578ccc41fd90114d57805f18011f58c41

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.344822Z digest=sha256:4d870e6adf3c37453e2492a1f576cb85719a7d6b6b1baead8363d6de72f349f6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.349155Z digest=sha256:939329094e8d9be4ff02f3248c2e14c1b521cb303da31c5b664bdd104394ac00

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.353530Z digest=sha256:7a5fccfc21d669d9329a56f0189fb4a69910e4db8b22fa2ee17a02408d097d94

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.358732Z digest=sha256:4a9f99b03a88b96e094cb8356d0447652a06becd6d88b48845ff73a72a818ca3

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.

source=pdf_text observed=2026-08-11T00:22:26.363525Z digest=sha256:c0766385a35947797224d1fff7a237b66c166c0fd1789b784df6dfc023cf4ee4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.368204Z digest=sha256:f36e9297765446fc2dd34b600f122a137dabeaf9b0640262932ecb7e3e2dfba8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T00:22:26.372743Z digest=sha256:efe004c7b7d5f55be0f43015e6977c7b180141b176f1ef6a3c2d2c35f75e2145

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

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T05:34:06.361327Z digest=sha256:4be2fda9fac82afe6718296c93bf8369e9af7144d2944c03a0cb73e1894a6a12