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Paper Citation Record · LEDGER

A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields

As of 10 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.

pith.paper-citation-record.v1
2507.04408 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:52:37.882895Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

65 of 65 outbound references displayed

  • verified exact0
  • verified fuzzy45
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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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

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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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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raw_fallback, observed 2026-08-06T19:52:38.492039Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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raw_fallback, observed 2026-08-06T19:52:38.477288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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raw_fallback, observed 2026-08-06T19:52:38.438597Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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raw_fallback, observed 2026-08-06T19:52:38.423907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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raw_fallback, observed 2026-08-06T19:52:38.410047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.746437Z digest=sha256:309c3e06c88f0eca7ab533ca9328b91406a6706a1e83a5191c949f3ec1b6b515

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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raw_fallback, observed 2026-08-06T19:52:38.396145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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no resolver link, observed 2026-08-06T19:52:37.754426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:52:37.754426Z digest=sha256:1569e0ad6c0731fb039348d749d790da0f4fbd36eca1903d02345b38dc6e5adf

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

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raw_fallback, observed 2026-08-06T19:52:38.372152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.758511Z digest=sha256:3f14cbcbea8c169f1fce7441b1f0946309587c8c8ba847de5f26f2b8e478ddd5

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
raw_fallback, observed 2026-08-06T19:52:38.359070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.762301Z digest=sha256:ea356c221467bc0134486bc23e3e881beeb6babab10e1ec6373d38f6a8223cfc

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
raw_fallback, observed 2026-08-06T19:52:38.345948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.766681Z digest=sha256:c004e5de2e1fd28cb69b2aa4f4e6a352d82ab063720f466f567f44302c1a0772

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
raw_fallback, observed 2026-08-06T19:52:38.332827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.770865Z digest=sha256:864c830997aa500b9e1f55edc4b038e1f4cac3c7cfde54fdbe59a6f07fb9e41f

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
raw_fallback, observed 2026-08-06T19:52:38.319840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.774809Z digest=sha256:69b27ae3bb1409a80b513c21c6b2ddfe04623309923dd634708439223ce6c1e9

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
unresolved
raw_fallback, observed 2026-08-06T19:52:38.306075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.778757Z digest=sha256:e9d980bfd3eb58105f36d9e5bfebc0e88de94a2d24c932971f5e5c97a25e11a2

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
unresolved
raw_fallback, observed 2026-08-06T19:52:38.292495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.783027Z digest=sha256:28cde2c78e65a9fc0116e97d33e9525db5f22d8b7f4eb3c554c20f4c42f30028

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.787199Z digest=sha256:34327d71bc6dcb9c8bfe5b742d7377654302fe15e9564151d22b3c35e1cc6989

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
raw_fallback, observed 2026-08-06T19:52:38.262971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.791281Z digest=sha256:9ccc283e601f9d8dadbaa83c9a71097f109396a001f7c7d595c6d3504e899391

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.795155Z digest=sha256:61e76232b70bfc96d3dda8cba4570428505504422d144f03506946ad605c29b1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.799148Z digest=sha256:a42bd711d0098d19a2899eed2dcd6480324c04594e178f5a682f7e371e52ca0f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.804654Z digest=sha256:8205f4da4ef92dbc4d6216c34d3cef5841ba10c9359cc2ede26f29be5e39ee81

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.808796Z digest=sha256:c3c599e3d1e70837ae8cb0a3131914bb406d545d82ae8fab4981dbffd4a288e8

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.

source=pdf_text observed=2026-08-06T19:52:37.813279Z digest=sha256:42339960fc5aba5b34e0941e2f9706b38e10a62db22ddfe277a5a369f71728b0

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
no resolver link, observed 2026-08-06T19:52:37.817241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:52:37.817241Z digest=sha256:dd6833ac78dcaf8abc286725936c69ce2cc6d564b94bb54c1dd673a05a1f23a3

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 2026-08-10T06:31:04.303077+00:00.

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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
no resolver link, observed 2026-08-06T19:52:37.825708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:52:37.825708Z digest=sha256:3e27bd3e344a4fd27fea1e0f329eddd3251f56676874ecb6b2e41d9a668f2d6a

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
raw_fallback, observed 2026-08-06T19:52:38.150618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.837732Z digest=sha256:5b9c548e034ec5915068ff7e67639b60dbcdba842386e00be03e00543ed657b0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.841959Z digest=sha256:3c9075466eade8d422dac5e4f85ac194a8884b9f50d3020108780b8c8e1d75db

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.846000Z digest=sha256:9441079d21bc54c49123dcc4820650e830c485b3da37713b51816c62ec990bcc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.849729Z digest=sha256:d86a2825210fa540e395c14b4d93433277c1ac0eeb33dc57a0dfef5cd6d53c1d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.853674Z digest=sha256:dc07cc9909c7daa21c669782c859859ce2079d689a6bc25ae2e2a4d6eccdc05e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.857720Z digest=sha256:df91bb1f776d13f1965b4855cad9751b510d594908aa83c34e4edc0b602a137f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.861853Z digest=sha256:036610f6571384991a530c3fc04960e9c595443503aaebb4d82d3f5b2065298f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.866230Z digest=sha256:7c4c9a008bba8ebd2c3f9f274017da9334c91348542daa180ef3af1d35435862

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.870633Z digest=sha256:af7431219e0383483c67434ca86728c3871a13724cb095944d8286402ae3c07f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.874777Z digest=sha256:ae28320b319072228db5fb2119e5ca0856063335b96f156f012033c42fec53b9

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.

source=pdf_text observed=2026-08-06T19:52:37.878565Z digest=sha256:dab3f0c20fe054818c5a8fe1625f39f71740267588618e1276a98aa5981568a7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:52:37.882895Z digest=sha256:c9f8d33d742cc992af4301deca86af4a31d7a771d8080226cd6112698005f6e1

Pith citing papers

No inbound Pith citation observations are available.