Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:52:37.882895Z
Paper Citation Record · LEDGER
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields
As of 13 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2507.04408.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
65 of 65 outbound references displayed
- verified exact0
- verified fuzzy45
- unresolved20
- parse uncertain0
- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2950299a-7f5d-49b2-91ce-35f042aea8d4 · outbound
This paper cites Barron, B.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Barron, B
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 50847f55-ca5b-43f5-be3f-73d36e0e5024 · outbound
This paper cites Barron, B.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Barron, B
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 625d0304-df62-4ac1-836a-7c8e10c5f994 · outbound
This paper cites Zip-nerf: Anti-aliased grid-based neural radiance fields.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Zip-nerf: Anti-aliased grid-based neural radiance fields
Reference 3
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d221bf14-8c49-48f4-83dc-847a5694ac93 · outbound
This paper cites ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth
Reference 4
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17128479-349c-47fa-a457-6006a0d22715 · outbound
This paper cites MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo
Reference 5
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7549df8e-fdef-4f9f-96c0-018c51c9e101 · outbound
This paper cites Mvsnerf: Fast general- izable radiance field reconstruction from multi-view stereo.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Mvsnerf: Fast general- izable radiance field reconstruction from multi-view stereo
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6d78cb86-a7a2-426c-a4f7-c90643eec581 · outbound
This paper cites an unresolved cited work.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Unresolved cited work
Reference 7
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 692760e8-1944-4b7c-b861-dc9af2580972 · outbound
This paper cites Depth-supervised nerf: Fewer views and faster train- ing for free.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Depth-supervised nerf: Fewer views and faster train- ing for free
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 2026-08-13T06:32:02.005865+00:00.
Observation 3512e84d-fbe4-46de-8f7c-1817c9317fd8 · outbound
This paper cites RoMa: Robust Dense Feature Matching.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields RoMa: Robust Dense Feature Matching
Reference 9
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9c07b72-b0a1-4afa-a699-9fe5624c866f · outbound
This paper cites Fridovich-Keil, A.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Fridovich-Keil, A
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f8f53160-76a9-40e7-87d9-5db56dc48845 · outbound
This paper cites Hartley and A.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Hartley and A
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 2026-08-13T06:32:02.005865+00:00.
Observation c118ccf2-2ec9-45e8-a6f5-658ead881be5 · outbound
This paper cites an unresolved cited work.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Unresolved cited work
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation ab14a6a1-b7e1-43f6-b244-cf6b9a11e4aa · outbound
This paper cites an unresolved cited work.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Unresolved cited work
Reference 13
- Resolution
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Source-reported events for the cited work
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Observation 41646b60-9d05-4bcb-9746-0bae5ab282e1 · outbound
This paper cites Sape: Spatially-adaptive progressive encoding for neural optimization.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Sape: Spatially-adaptive progressive encoding for neural optimization
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 2026-08-13T06:32:02.005865+00:00.
Observation 3015a9c9-5523-4e60-a3f2-db56622606e4 · outbound
This paper cites Putting nerf on a diet: Semantically consistent few-shot view synthesis.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Putting nerf on a diet: Semantically consistent few-shot view synthesis
Reference 15
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7c6bb03-08e9-4e0d-88b5-dc47c4682c1f · outbound
This paper cites Tensoir: Tensorial inverse rendering.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Tensoir: Tensorial inverse rendering
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 121311c9-20d3-471b-8ace-d17d62073330 · outbound
This paper cites Kerbl, G.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Kerbl, G
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 38ec60b5-df4c-40a5-8180-cd7e4715f796 · outbound
This paper cites an unresolved cited work.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Unresolved cited work
Reference 18
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 009eb08e-fa1c-4779-88d9-d4f34e9d809b · outbound
This paper cites Infonerf: Ray entropy minimization for few-shot neural volume ren- dering.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Infonerf: Ray entropy minimization for few-shot neural volume ren- dering
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 949a2b72-b7df-4801-b4bc-46b824a189c0 · outbound
This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Tanks and temples: Benchmarking large-scale scene reconstruction
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 2026-08-13T06:32:02.005865+00:00.
Observation 150b4b75-2700-4feb-9b91-23fb71798133 · outbound
This paper cites Kobayashi, E.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Kobayashi, E
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 2026-08-13T06:32:02.005865+00:00.
Observation 3e9d1ba6-d910-4019-b90b-3461fda39ba2 · outbound
This paper cites Nerfacc: Efficient sampling accelerates nerfs.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Nerfacc: Efficient sampling accelerates nerfs
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 2026-08-13T06:32:02.005865+00:00.
Observation 5633a9db-43c1-4639-aab2-1706ad5af869 · outbound
This paper cites Megadepth: Learning single- view depth prediction from internet photos.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Megadepth: Learning single- view depth prediction from internet photos
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b55560a6-12cd-45c2-a547-bdf361a58edf · outbound
This paper cites an unresolved cited work.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Unresolved cited work
Reference 24
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 43406ab8-901a-4a8d-a458-782e9748d2b6 · outbound
This paper cites Diffusion hyperfeatures: Searching through time and space for semantic correspondence.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Diffusion hyperfeatures: Searching through time and space for semantic correspondence
Reference 25
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4663da8b-c43c-48b9-b53d-a547e3f6ba4d · outbound
This paper cites Nerf in the wild: Neural radiance fields for uncon- strained photo collections.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Nerf in the wild: Neural radiance fields for uncon- strained photo collections
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 481e7106-04a0-4668-b4ef-f4955ad28501 · outbound
This paper cites Mod- ulated periodic activations for generalizable local functional representations.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Mod- ulated periodic activations for generalizable local functional representations
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f960a359-390e-4e00-855a-ec5cf087c76f · outbound
This paper cites an unresolved cited work.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Unresolved cited work
Reference 28
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab8c7964-5130-47ea-8883-753be2a240c0 · outbound
This paper cites Instant neural graphics primitives with a mul- tiresolution hash encoding.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Instant neural graphics primitives with a mul- tiresolution hash encoding
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e451fa8e-cb48-41a8-b2a6-0c5894f7e316 · outbound
This paper cites Reg- nerf: Regularizing neural radiance fields for view synthesis from sparse inputs.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Reg- nerf: Regularizing neural radiance fields for view synthesis from sparse inputs
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d95053ef-931e-4f5f-8e00-75bbb6aa127b · outbound
This paper cites Oquab, T.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Oquab, T
Reference 31
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 46ddaaa5-21ba-48bb-9cf6-d3fb320edd09 · outbound
This paper cites Prados and O.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Prados and O
Reference 32
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5c590e49-2965-42e4-8858-bcc80fd1da6f · outbound
This paper cites Radford, J.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Radford, J
Reference 33
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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 2026-08-13T06:32:02.005865+00:00.
Observation 2093014f-5cd9-4a03-b219-c585c6d87817 · outbound
This paper cites Dense depth pri- ors for neural radiance fields from sparse input views.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Dense depth pri- ors for neural radiance fields from sparse input views
Reference 34
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f85c5db2-a298-462d-95a0-e19488e82670 · outbound
This paper cites Sarlin, D.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Sarlin, D
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d2fa5149-15ab-4444-97c0-a1e9f913a331 · outbound
This paper cites Zerorf: Fast sparse view 360deg reconstruction with zero pretrain- ing.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Zerorf: Fast sparse view 360deg reconstruction with zero pretrain- ing
Reference 36
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ae3a3707-40f0-4f30-840f-ceac49781f7c · outbound
This paper cites Sitzmann, J.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Sitzmann, J
Reference 37
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4cb39b24-479a-4900-9741-313c4bc44f65 · outbound
This paper cites Vip-nerf: Visibility prior for sparse input neural radiance fields.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Vip-nerf: Visibility prior for sparse input neural radiance fields
Reference 38
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0e2256e9-77af-47b7-8664-4585a103dde4 · outbound
This paper cites Simplenerf: Regularizing sparse input neural radiance fields with simpler solutions.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Simplenerf: Regularizing sparse input neural radiance fields with simpler solutions
Reference 39
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ee158078-9381-49a9-8876-85d44296a2fb · outbound
This paper cites an unresolved cited work.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Unresolved cited work
Reference 40
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f84eef0e-e61a-46b9-b3e2-21157422380f · outbound
This paper cites an unresolved cited work.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Unresolved cited work
Reference 41
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 668cf00d-265c-4c40-9b89-4d9268e0442e · outbound
This paper cites Tancik, P.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Tancik, P
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:52:38.278644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ec96420f-ae4a-4cc0-b567-180c78451aa6 · outbound
This paper cites Tancik, E.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Tancik, E
Reference 43
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6362ce9e-8b9b-4bf5-89c1-18920102689e · outbound
This paper cites Sparf: Neural radiance fields from sparse and noisy poses.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Sparf: Neural radiance fields from sparse and noisy poses
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:52:38.249136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a6e6829b-6f8b-415c-bd4d-79b61b9bf1aa · outbound
This paper cites Pynerf: Pyramidal neural radiance fields.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Pynerf: Pyramidal neural radiance fields
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:52:38.235106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 95f01bed-431b-43b6-ab54-16b248e6d37a · outbound
This paper cites Tyszkiewic, P.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Tyszkiewic, P
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:52:38.220863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 71cae7d2-ae09-4d7a-8d0a-ba0f4ad5c293 · outbound
This paper cites Scade: Nerfs from space carving with ambiguity-aware depth estimates.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Scade: Nerfs from space carving with ambiguity-aware depth estimates
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:52:38.207548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f56271da-a44f-489c-8cc3-6c1ac71454f8 · outbound
This paper cites Dig- ging into depth priors for outdoor neural radiance fields.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Dig- ging into depth priors for outdoor neural radiance fields
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:52:37.813279Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 837577a2-df46-4ef3-a7c0-0d49dfbce64e · outbound
This paper cites Sparsenerf: Distilling depth ranking for few-shot novel view synthesis.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Sparsenerf: Distilling depth ranking for few-shot novel view synthesis
Reference 49
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1eea76fd-fbc7-42c0-a52d-c45d409569ff · outbound
This paper cites Ibr- net: Learning multi-view image-based rendering.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Ibr- net: Learning multi-view image-based rendering
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:52:38.174528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e80a1db1-ac53-4c7c-abc8-3c1e8a716ff3 · outbound
This paper cites Image quality assessment: from error visibility to structural similarity.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Image quality assessment: from error visibility to structural similarity
Reference 51
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a8e70fd-6153-4fa5-b9b0-56c4561744af · outbound
This paper cites Masked feature predic- tion for self-supervised visual pre-training.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Masked feature predic- tion for self-supervised visual pre-training
Reference 52
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2c5ef971-11a6-46a2-8d9c-8b4b205e8d8c · outbound
This paper cites S- volsdf: Sparse multi-view stereo regularization of neural im- plicit surfaces.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields S- volsdf: Sparse multi-view stereo regularization of neural im- plicit surfaces
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:52:38.137165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 25475099-aac4-4d05-81ef-746cd89def22 · outbound
This paper cites Reconfusion: 3d reconstruction with diffusion priors.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Reconfusion: 3d reconstruction with diffusion priors
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:52:38.123666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0bc81903-33f5-422a-baa9-8387115fa68f · outbound
This paper cites Revealing the dark secrets of masked im- age modeling.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Revealing the dark secrets of masked im- age modeling
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:52:38.109955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8c4f743e-2f08-4681-862c-6aa86a615036 · outbound
This paper cites C2f2neus: Cascade cost frustum fusion for high fidelity and generalizable neu- ral surface reconstruction.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields C2f2neus: Cascade cost frustum fusion for high fidelity and generalizable neu- ral surface reconstruction
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:52:38.096090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 133e27b8-9f5e-4bcd-b714-e6e546c9b156 · outbound
This paper cites Freenerf: Im- proving few-shot neural rendering with free frequency reg- ularization.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Freenerf: Im- proving few-shot neural rendering with free frequency reg- ularization
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:52:38.082839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4a7b6007-f017-4b2e-8ea1-f0957cbdd819 · outbound
This paper cites an unresolved cited work.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:52:38.069413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 374dba20-f621-452b-8dc8-0befaa9aee24 · outbound
This paper cites pixelnerf: Neural radiance fields from one or few images.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields pixelnerf: Neural radiance fields from one or few images
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:52:38.055344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e519a727-f2d0-4532-bf13-9c62bcf396f1 · outbound
This paper cites Monosdf: Exploring monocu- lar geometric cues for neural implicit surface reconstruc- tion.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Monosdf: Exploring monocu- lar geometric cues for neural implicit surface reconstruc- tion
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:52:38.039240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a8f46486-3aac-41a4-84b5-bdbda78b1cac · outbound
This paper cites Cor-gs: sparse-view 3d gaussian splatting via co-regularization.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Cor-gs: sparse-view 3d gaussian splatting via co-regularization
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:52:38.024840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2b64ada2-f301-4975-8917-22ea7b9bb009 · outbound
This paper cites Zhang, G.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Zhang, G
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:52:38.010865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3df7baf1-c411-4fd5-83a1-683ee1ba8314 · outbound
This paper cites The Unreasonable Effectiveness of Deep Features as a Perceptual Metric.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:52:37.996846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7a17615d-b98b-487e-93ae-3c546e6cfd7b · outbound
This paper cites iBOT: Image BERT Pre-Training with Online Tokenizer.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields iBOT: Image BERT Pre-Training with Online Tokenizer
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:52:37.878565Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea35a3fc-5b8b-45ee-811b-86f1742b9a0f · outbound
This paper cites an unresolved cited work.
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Unresolved cited work
Reference 65
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:52:37.981176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Pith citing papers
No inbound Pith citation observations are available.