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Paper Citation Record · LEDGER

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction

As of 9 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2505.19793.

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

pith.paper-citation-record.v1
2505.19793 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:11:31.619541Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

48 of 48 outbound references displayed

  • verified exact1
  • verified fuzzy30
  • unresolved17
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ddaba1e4-4907-4949-ad20-a92fc15c41a6 · outbound

This paper cites Large-scale data for multiple-view stereopsis.International Journal of Computer Vision, 120:153–168, 2016.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Large-scale data for multiple-view stereopsis.International Journal of Computer Vision, 120:153–168, 2016

Reference 1

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Observation 36d03837-1618-48ec-b77a-07c0bca0e616 · outbound

This paper cites Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields

Reference 2

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Source-reported events for the cited work

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Observation 1c92216c-6106-418d-9e9d-523b61b3574a · outbound

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

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Mip-nerf 360: Unbounded anti-aliased neural radiance fields

Reference 3

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Observation f02809ea-f640-4565-8949-14e2388e0fc3 · outbound

This paper cites Real-time neural light field on mobile devices.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Real-time neural light field on mobile devices

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a1f074e7-11d4-4354-8327-9c6868f949ce · outbound

This paper cites Plenoptic sampling.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Plenoptic sampling

Reference 5

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b2e985e3-3bd3-40f0-a715-bc557a6d3cbd · outbound

This paper cites Efficient geometry-aware 3d generative adversarial networks.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Efficient geometry-aware 3d generative adversarial networks

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bff0cf8f-9513-46c8-87a7-b5737df38a93 · outbound

This paper cites pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction

Reference 7

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no resolver link, observed 2026-08-07T14:11:27.808877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:27.808877Z digest=sha256:3d9418cd19e037673a8227f50faa3cb8b1ff98c28a93bbbfe7a6839cbc81f701

Observation 525899f8-ec11-4d68-8f67-292adcd34b99 · outbound

This paper cites Mvsnerf: Fast general- izable radiance field reconstruction from multi-view stereo.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Mvsnerf: Fast general- izable radiance field reconstruction from multi-view stereo

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 200f515a-8a5e-41b0-8398-c77911bd5f7c · outbound

This paper cites Tensorf: Tensorial radiance fields.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Tensorf: Tensorial radiance fields

Reference 9

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unresolved
no resolver link, observed 2026-08-07T14:11:28.108405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:28.108405Z digest=sha256:092663d43ecfc94539cd54b0865eba947a4f6e3fb2b6d1d668692b65867d6471

Observation 621974d1-3c94-4885-b54d-d76aa07b1f40 · outbound

This paper cites Explicit Correspondence Matching for Generalizable Neural Radiance Fields.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Explicit Correspondence Matching for Generalizable Neural Radiance Fields

Reference 10

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no resolver link, observed 2026-08-07T14:11:28.260034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cec56797-b0d3-42b3-8edf-64ddae76a1d0 · outbound

This paper cites Mobilenerf: Exploiting the polygon ras- terization pipeline for efficient neural field rendering on mo- bile architectures.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Mobilenerf: Exploiting the polygon ras- terization pipeline for efficient neural field rendering on mo- bile architectures

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 01443d6e-7189-45c4-ba97-8d15da56b510 · outbound

This paper cites Stereo radiance fields (srf): Learning view syn- thesis for sparse views of novel scenes.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Stereo radiance fields (srf): Learning view syn- thesis for sparse views of novel scenes

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1936c40c-da1d-4096-b0ba-3145477c2aa5 · outbound

This paper cites Plenoxels: Radiance fields without neural networks.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Plenoxels: Radiance fields without neural networks

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b15e20da-6446-42c6-8f04-932ddbfd3826 · outbound

This paper cites Efficientnerf efficient neural radiance fields.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Efficientnerf efficient neural radiance fields

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 320ee482-078c-4003-8850-bfb91ef280c6 · outbound

This paper cites Tri-miprf: Tri-mip represen- tation for efficient anti-aliasing neural radiance fields.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Tri-miprf: Tri-mip represen- tation for efficient anti-aliasing neural radiance fields

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:34.997467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:28.690333Z digest=sha256:5bc89f5589cd35120524b73cabd3f0b00c1864eed4e90d60c416edc10ac467bd

Observation e1a45aff-4866-4535-b2f0-4a97a1fd380d · outbound

This paper cites Geonerf: Generalizing nerf with geometry priors.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Geonerf: Generalizing nerf with geometry priors

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:34.873041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation eef90748-d65a-430e-864c-bacd967acb5d · outbound

This paper cites Relu fields: The little non-linearity that could.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Relu fields: The little non-linearity that could

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:34.763012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation be75772d-86ec-4560-9eda-db5c3841b7b8 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Trans.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 551074cd-aa8c-4255-befb-ae1000ada0f4 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Adam: A Method for Stochastic Optimization

Reference 19

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unresolved
no resolver link, observed 2026-08-07T14:11:29.303087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 29b93be3-ec4a-4898-b5c6-e87f8bf6873d · outbound

This paper cites Adanerf: Adaptive sam- pling for real-time rendering of neural radiance fields.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Adanerf: Adaptive sam- pling for real-time rendering of neural radiance fields

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation da8a438d-e388-42a6-991a-918e02452d7e · outbound

This paper cites Mine: Towards continuous depth mpi with nerf for novel view synthesis.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Mine: Towards continuous depth mpi with nerf for novel view synthesis

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 82140f17-6e1f-4a66-ae18-a0db07de8d92 · outbound

This paper cites Efficient neural radiance fields for interactive free-viewpoint video.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Efficient neural radiance fields for interactive free-viewpoint video

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 06fb60df-2a3a-485f-bcf3-888d6789acca · outbound

This paper cites Neural sparse voxel fields.Advances in Neural Information Processing Systems, 33:15651–15663,.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Neural sparse voxel fields.Advances in Neural Information Processing Systems, 33:15651–15663,

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7f84ab1e-0324-46f6-a8b8-ea3504ab5e34 · outbound

This paper cites Mvsgaussian: Fast generalizable gaussian splatting recon- struction from multi-view stereo.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Mvsgaussian: Fast generalizable gaussian splatting recon- struction from multi-view stereo

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2c099f60-4a08-46f4-978b-2187b938152b · outbound

This paper cites Geometry-aware reconstruc- tion and fusion-refined rendering for generalizable neural ra- diance fields.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Geometry-aware reconstruc- tion and fusion-refined rendering for generalizable neural ra- diance fields

Reference 25

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 75630994-07dd-4744-b3a7-7ddf5905f5f1 · outbound

This paper cites Neural rays for occlusion-aware image-based render- ing.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Neural rays for occlusion-aware image-based render- ing

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:34.109620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation da2a5cab-12b0-4bb6-a66c-d6f089f240c4 · outbound

This paper cites Local light field fusion: Practical view syn- thesis with prescriptive sampling guidelines.ACM Transac- tions on Graphics (ToG), 38(4):1–14, 2019.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Local light field fusion: Practical view syn- thesis with prescriptive sampling guidelines.ACM Transac- tions on Graphics (ToG), 38(4):1–14, 2019

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:33.954930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 81612f9b-c2ae-4a7d-b4b6-2f136099a8d7 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Srinivasan, Matthew Tancik, Jonathan T

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:33.828718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:30.458939Z digest=sha256:7a7b7df2716dbbe301f6cc01b1295ccb2c138f12ad08f8b8ffb8fd672f51ff27

Observation 0755c1fb-2a4a-45f9-91be-2bb38201062b · outbound

This paper cites Instant neural graphics primitives with a mul- tiresolution hash encoding.ACM transactions on graphics (TOG), 41(4):1–15, 2022.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Instant neural graphics primitives with a mul- tiresolution hash encoding.ACM transactions on graphics (TOG), 41(4):1–15, 2022

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:30.528312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:30.528312Z digest=sha256:c40123b2c6a09eaf787199e7f100da716bd54b4c2dbb30cf92c5ba75e87f652a

Observation 147e1d48-4980-4059-ba2c-46521d2ec144 · outbound

This paper cites Donerf: Towards real- time rendering of compact neural radiance fields using depth oracle networks.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Donerf: Towards real- time rendering of compact neural radiance fields using depth oracle networks

Reference 30

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unresolved
no resolver link, observed 2026-08-07T14:11:30.604877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:30.604877Z digest=sha256:a978a8d2f13ac1c96818b2f913cddae8ce052c2922d0a0eef010b0b2a60784c7

Observation 82d2aace-a32a-46d1-8274-c6549fda26c1 · outbound

This paper cites Cascaded and generalizable neural ra- diance fields for fast view synthesis.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Cascaded and generalizable neural ra- diance fields for fast view synthesis.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-07T14:11:33.555347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:30.697608Z digest=sha256:8da9f79fee25e921ad414cc3598c00350d9f678e6ae0abc6367cabdb22e19a5b

Observation f088c664-2d6e-4ca0-9932-c73b4d86ecc6 · outbound

This paper cites Sampling for View Synthesis: From Local Light Field Fusion to Neural Radiance Fields and Beyond.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Sampling for View Synthesis: From Local Light Field Fusion to Neural Radiance Fields and Beyond

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:11:31.772287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:30.726440Z digest=sha256:b9d01e2265f3b72054b544729aa70a726d9f05e0645bf3432411765ce1f19a7a

Observation e33e1f5d-6ad5-4619-b338-16d57d65ece7 · outbound

This paper cites Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction

Reference 33

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unresolved
no resolver link, observed 2026-08-07T14:11:30.791698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:30.791698Z digest=sha256:9d7a2bb18919c38c61daa1cc8db45bc7cfa6e65ccc9addd2861cf37a646caa20

Observation bb4b612b-7d83-4789-9cd9-515da568a9e5 · outbound

This paper cites Recent advances in im- plicit representation-based 3d shape generation.Visual Intel- ligence, 2(1):9, 2024.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Recent advances in im- plicit representation-based 3d shape generation.Visual Intel- ligence, 2(1):9, 2024

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:33.410200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:30.862820Z digest=sha256:d64e071febf0f41320c67859eeba0081fdfda3d008469253a5321a49d46ec0bb

Observation 31c019c7-7293-4703-9796-ff30feee885c · outbound

This paper cites Splatter image: Ultra-fast single-view 3d recon- struction.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Splatter image: Ultra-fast single-view 3d recon- struction

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:33.219651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:30.929687Z digest=sha256:040fe6b6efcb92a8499fbdf0e32fc45df913457af8bf5244e7d3376bc14dd48d

Observation ce72235d-582e-4e75-a38f-593877fc40cb · outbound

This paper cites Global latent neu- ral rendering.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Global latent neu- ral rendering

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:33.035643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:30.999631Z digest=sha256:fa937d3667d0d2e9ed1560cfbd7bc42b7eaab7d0b8b3f2e3885c0919c4ffc7eb

Observation ad4580f7-67be-4942-888a-589fb4d1daf8 · outbound

This paper cites Grf: Learning a general radi- ance field for 3d representation and rendering.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Grf: Learning a general radi- ance field for 3d representation and rendering

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:32.854343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:31.079551Z digest=sha256:dc6a60ab049c81c82886aecc498e31981b84866ae00f60a943b209ca25f95149

Observation 22478969-2fb4-409b-8b4c-f06c4d4c6dda · outbound

This paper cites Learning neural duplex ra- diance fields for real-time view synthesis.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Learning neural duplex ra- diance fields for real-time view synthesis

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:32.665701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:31.137232Z digest=sha256:e5c2c78cb46f94484328da7743ae59dfe25e267efef8207f36b3f616d619e58b

Observation 85f76194-067c-4aba-bf34-94014af8ee4f · outbound

This paper cites Is attention all that nerf needs?Proceedings of the International Conference on Learning Representations (ICLR), 2023.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Is attention all that nerf needs?Proceedings of the International Conference on Learning Representations (ICLR), 2023

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:32.503946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:31.214884Z digest=sha256:337ff2d1557e2230c3a0a2725ce2ee15631934192523ce5b5d6249a9a29799a1

Observation 4be86da7-9863-4501-8a42-0748c703446f · outbound

This paper cites Ibr- net: Learning multi-view image-based rendering.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Ibr- net: Learning multi-view image-based rendering

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:32.345064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:31.262625Z digest=sha256:e5eb6a1e359bdb5a1631507fa6ed97d3fe6b70a3ede9dec109166af39967269c

Observation 11c95e76-a1ed-4979-a442-364dcac178cc · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:31.333925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:31.333925Z digest=sha256:b8ddde55123fab200c043a8db49f7d07391db7b4ea0cbfdc7e9ecd1e33b64425

Observation ac935623-b47a-4b8d-b69c-e8b91ce884b6 · outbound

This paper cites Adaptive shells for efficient neu- ral radiance field rendering.ACM Transactions on Graphics (TOG), 42(6):1–15, 2023.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Adaptive shells for efficient neu- ral radiance field rendering.ACM Transactions on Graphics (TOG), 42(6):1–15, 2023

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:32.210832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:31.381851Z digest=sha256:5652ef62d83da3f06aef0e6ee47c099dced4f887c5c349cca676510f9b5bd23d

Observation 00333b9b-d1d8-491f-84cd-45242fb93577 · outbound

This paper cites Murf: Multi-baseline radiance fields.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Murf: Multi-baseline radiance fields

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:32.092671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:31.440729Z digest=sha256:30da7c5952be63a6c61bc6369859be0ed60c6d232694b7765cf3d7c1f01bc022

Observation 99f8f719-4983-4fea-8e1a-9692d6d8cdb5 · outbound

This paper cites Plenoctrees for real-time rendering of neural radiance fields.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Plenoctrees for real-time rendering of neural radiance fields

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:31.485975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:31.485975Z digest=sha256:206026eebf8b15112715ab29cbd14a99019728c105c909a5b6fa96a77aa64833

Observation 17250589-82f6-4396-91be-ab5bf34fd352 · outbound

This paper cites pixelnerf: Neural radiance fields from one or few images.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction pixelnerf: Neural radiance fields from one or few images

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:31.927244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:31.528714Z digest=sha256:66794158a950be2fcd139188f344d8169eea1c2facaf9b866e36d3de828a3fd1

Observation f998e05d-5fc8-4871-befc-0d9cfba38122 · outbound

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

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction The unreasonable effectiveness of deep features as a perceptual metric

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:31.573164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:31.573164Z digest=sha256:946a4743e201e95a316d129d46d5dc9b8271210d200d4ba3dfef7e96f01433db

Observation 62f9d90d-21bb-4b0a-bb75-b8ce43dc2f0b · outbound

This paper cites Gps- gaussian: Generalizable pixel-wise 3d gaussian splatting for real-time human novel view synthesis.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Gps- gaussian: Generalizable pixel-wise 3d gaussian splatting for real-time human novel view synthesis

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:31.619541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:31.619541Z digest=sha256:172e4f77eae933db7f8d6028e38df37442b979437b1091cf64e1703920c505fe

Observation 3b01fe6b-6019-40c1-9d1d-a205315f9d00 · outbound

This paper cites an unresolved cited work.

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:11:33.707654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:30.657847Z digest=sha256:42e5c5cc8e1bb263ccde880f89e2e9c49d008f1bb98f3f68bff7b0ad2ef02e1a

Pith citing papers

No inbound Pith citation observations are available.