Paper Citation Record · LEDGER

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields

As of 16 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 1 inbound Pith citation observation for arXiv:2507.06269.

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

pith.paper-citation-record.v1
2507.06269 v3

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

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measured 62 of 62 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:06:28.969247Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

61 of 61 outbound references displayed

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verified fuzzy54
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6704b804-2adb-477e-992d-47cedf9b3d34 · outbound

This paper cites A review of uncertainty quantification in deep learning: Techniques, applica- tions and challenges.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields A review of uncertainty quantification in deep learning: Techniques, applica- tions and challenges

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:01.061005Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f004467d-b4d0-4d24-9ff4-d0210d11eff2 · outbound

This paper cites Estimating and exploiting the aleatoric uncertainty in surface normal estimation.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Estimating and exploiting the aleatoric uncertainty in surface normal estimation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:01.052304Z

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Observation 2c8f516e-d3cd-4cb0-aedb-a07ecf697d41 · outbound

This paper cites Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:01.042643Z

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Observation 0d90ba64-0d66-414a-b511-9ced967a947f · outbound

This paper cites Barron, Ben Mildenhall, Dor Verbin, Pratul P.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Barron, Ben Mildenhall, Dor Verbin, Pratul P

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:01.034029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1efc0215-98cc-41ff-9700-75ef141abbac · outbound

This paper cites Nerd: Neural reflectance decomposition from image collec- tions.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Nerd: Neural reflectance decomposition from image collec- tions

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:01.024248Z

Source-reported events for the cited work

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Observation d9a39308-0aa0-4fcd-8e27-8b4b5e939b54 · outbound

This paper cites T- nerf: Time-conditioned neural radiance fields for ef- ficient representation of dynamic scenes.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields T- nerf: Time-conditioned neural radiance fields for ef- ficient representation of dynamic scenes

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:01.015321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b38597ba-cd1c-466f-8fc7-53499f640774 · outbound

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

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:01.006963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a59c7634-9006-4b1b-b1e8-9d4353b5b04d · outbound

This paper cites Mobilenerf: Exploiting the polygon rasterization pipeline for efficient neural field rendering on mobile architectures.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Mobilenerf: Exploiting the polygon rasterization pipeline for efficient neural field rendering on mobile architectures

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:00.997807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b334e2c9-dae5-4ad7-ab11-a3fb98e5be6f · outbound

This paper cites Laplace redux – effortless bayesian deep learning.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Laplace redux – effortless bayesian deep learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:00.989204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c94e1e91-ad27-4c69-a217-0ed5d2d78b79 · outbound

This paper cites Bayes’ rays: Uncer- tainty quantification for neural radiance fields.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Bayes’ rays: Uncer- tainty quantification for neural radiance fields

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:00.981414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b1618a8d-6d4c-4766-867e-4953474a98fa · outbound

This paper cites Hoffman, Tuan Anh Le, Pavel Sountsov, Christopher Suter, Ben Lee, Vikash K.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Hoffman, Tuan Anh Le, Pavel Sountsov, Christopher Suter, Ben Lee, Vikash K

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:00.972527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 10477738-ae8c-4a6a-a332-0e6e13d94261 · outbound

This paper cites Gnt: Neural radiance fields with geometry-consistent transformer.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Gnt: Neural radiance fields with geometry-consistent transformer

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:00.964001Z

Source-reported events for the cited work

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Observation 873b520a-c310-47ee-b189-b2b36e16846c · outbound

This paper cites Geonerf: Generalizing nerf with ge- ometry priors.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Geonerf: Generalizing nerf with ge- ometry priors

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:00.955221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c5a9e9dc-8fbe-4fd2-bdf9-591178c7b31e · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vi- sion? In Advances in Neural Information Processing Systems (NeurIPS), 2017.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields What uncertainties do we need in bayesian deep learning for computer vi- sion? In Advances in Neural Information Processing Systems (NeurIPS), 2017

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:00.945993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f034364a-93af-4ce3-b81a-a2a630208066 · outbound

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

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields 3d gaussian splatting for real-time radiance field rendering

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:00.937443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7c59b075-0576-4683-9d96-2782a4c06d70 · outbound

This paper cites Sdfstudio methods.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Sdfstudio methods

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:00.927681Z

Source-reported events for the cited work

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Observation b98f0949-1a02-41c3-8c37-54ee706bc396 · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Simple and scalable predictive uncertainty estimation using deep ensembles

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:00.919045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ca4a53d8-fe99-4524-bb77-5a37b8a2dd3b · outbound

This paper cites Bayesian NeRF: Quantifying Uncertainty with Volume Density for Neural Implicit Fields.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Bayesian NeRF: Quantifying Uncertainty with Volume Density for Neural Implicit Fields

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T19:26:54.724963Z

Source-reported events for the cited work

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Observation b647ce40-cc01-4e85-93cd-7d3b30f1553d · outbound

This paper cites an unresolved cited work.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:27:00.909962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6cc9c37b-c13a-487c-b628-8ee5a668cbdc · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Srinivasan, Matthew Tancik, Jonathan T

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:00.901939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 53ab446c-4425-46e5-ac81-6bfa6133c13e · outbound

This paper cites de Cas- tro, Nick Pawlowski, Bernardo Marques, Konstanti- nos Kamnitsas, Mark van der Wilk, and Ben Glocker.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields de Cas- tro, Nick Pawlowski, Bernardo Marques, Konstanti- nos Kamnitsas, Mark van der Wilk, and Ben Glocker

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:00.894437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3c43a4a6-f002-4dc5-ac2f-66f39cfae3b1 · outbound

This paper cites Morris, Ken ichi Kanatani, and Takeo Kanade.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Morris, Ken ichi Kanatani, and Takeo Kanade

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:00.886180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a202dcc5-90d8-49da-82e6-38d37dc01dbf · outbound

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

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:26:55.137159Z

Source-reported events for the cited work

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Observation 1d6435cf-bbf1-46d1-81b0-2db9354b8389 · outbound

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BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:27:00.878127Z

Source-reported events for the cited work

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Observation c215f2e5-55b7-4fe9-bb8a-8ea8e19acc12 · outbound

This paper cites Newcombe, Dieter Fox, and Steven M.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Newcombe, Dieter Fox, and Steven M

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:00.869924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 296f996a-3dcd-4dcc-892a-e46eb1e8407a · outbound

This paper cites Differentiable volumetric render- ing: Learning implicit 3d representations without 3d supervision.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Differentiable volumetric render- ing: Learning implicit 3d representations without 3d supervision

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:00.851587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4e0db7e6-b94c-43ff-8e24-1757bd857ac7 · outbound

This paper cites Barron, Ben Milden- hall, Mehdi S.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Barron, Ben Milden- hall, Mehdi S

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:00.524217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b67aef5d-187b-4b4c-b430-e30e4e52e93a · outbound

This paper cites Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruc- tion.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruc- tion

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:00.269900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 633b6d66-72dc-421e-bdb5-6219ccb7ce84 · outbound

This paper cites Deepsdf: Learning continuous signed distance functions for shape representation.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Deepsdf: Learning continuous signed distance functions for shape representation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:00.083367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 19e6dd14-67bd-49db-b0ee-a68b78c2710c · outbound

This paper cites Barron, Sofien Bouaziz, Dan B.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Barron, Sofien Bouaziz, Dan B

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.869549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8e1e5aed-59c4-402f-8cc4-48d16669471f · outbound

This paper cites Barron, Sofien Bouaziz, Dan B.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Barron, Sofien Bouaziz, Dan B

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.847104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 990ff3b7-c891-45d5-a346-7fac0d7a1a61 · outbound

This paper cites D-nerf: Neural radi- ance fields for dynamic scenes.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields D-nerf: Neural radi- ance fields for dynamic scenes

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.839566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 09a8d8b0-e9b6-47b2-a835-c35472fb2f2c · outbound

This paper cites Srini- vasan, Jonathan T.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Srini- vasan, Jonathan T

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.832097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f7097657-862a-43c1-8469-245249b9ec4f · outbound

This paper cites Nerf-tex: Neural reflectance field texture maps for high-fidelity facial avatars.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Nerf-tex: Neural reflectance field texture maps for high-fidelity facial avatars

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.824161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 704e28c6-9898-43bc-8c54-e3af80f7061c · outbound

This paper cites A scalable laplace approximation for neural networks.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields A scalable laplace approximation for neural networks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.816609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 087e3d84-7b35-47c8-baca-8f4c7f0c20ac · outbound

This paper cites Non-linear sphere tracing for rendering deformed signed distance fields.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Non-linear sphere tracing for rendering deformed signed distance fields

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.808239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f61c4dba-6a55-46a7-af90-82d7d7596f67 · outbound

This paper cites Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:26:59.248308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2e60ce39-dbb2-42c2-9584-52e9de6c4034 · outbound

This paper cites Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T19:26:56.685208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4cb2ddf-fe8b-4bf6-b6f7-ed70f41aa6c8 · outbound

This paper cites an unresolved cited work.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:26:59.800653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f98cc0ba-527e-4255-94a5-7535064d0c22 · outbound

This paper cites Srinivasan, Boyang Deng, Xiuming Zhang, Matthew Tancik, Ben Mildenhall, and Jonathan T.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Srinivasan, Boyang Deng, Xiuming Zhang, Matthew Tancik, Ben Mildenhall, and Jonathan T

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.792723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 830610b6-fc42-4eda-b455-056c064ce50e · outbound

This paper cites imap: Implicit mapping and positioning in real-time.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields imap: Implicit mapping and positioning in real-time

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.785215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ef3dc1b2-3c29-429d-9e35-2eed930526f3 · outbound

This paper cites Warpcurves: A tool for explicit manipula- tion of implicit surfaces.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Warpcurves: A tool for explicit manipula- tion of implicit surfaces

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.776852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7ab5eddf-c0b1-46ce-a6fb-5da65b131a23 · outbound

This paper cites V olume rendering digest (for nerf).

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields V olume rendering digest (for nerf)

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.769431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d23dc780-c600-410e-937b-4919c6a79113 · outbound

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

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Fourier features let networks learn high frequency functions in low dimensional domains

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.760609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 30d06b4b-058d-4bd9-b42e-fe5431613af4 · outbound

This paper cites Nerfstudio: A modular framework for neural radi- ance field development.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Nerfstudio: A modular framework for neural radi- ance field development

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.752284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3a4c850b-715f-475c-8de4-cd89c036de99 · outbound

This paper cites Non-rigid neural radiance fields: Re- construction and novel view synthesis of a dynamic scene from monocular video.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Non-rigid neural radiance fields: Re- construction and novel view synthesis of a dynamic scene from monocular video

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.744681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f3bad513-f41b-45bb-8e02-dd1609dd1f4e · outbound

This paper cites NeuS: Learning neural implicit surfaces by volume rendering for multi-view reconstruction.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields NeuS: Learning neural implicit surfaces by volume rendering for multi-view reconstruction

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.736618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 27f1bf26-f891-44c1-9da5-1922184085f1 · outbound

This paper cites Nerfbusters: Removing ghostly ar- tifacts from casually captured nerfs.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Nerfbusters: Removing ghostly ar- tifacts from casually captured nerfs

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.728775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a927cb8b-6484-41d8-a3a1-0e17a82f7db1 · outbound

This paper cites Nerfingmvs: Guided optimiza- tion of neural radiance fields for indoor multi-view stereo.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Nerfingmvs: Guided optimiza- tion of neural radiance fields for indoor multi-view stereo

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.720165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d43eb22d-33d2-414e-a7df-bbd8afe4079c · outbound

This paper cites Visualizing spec- tral bundle adjustment uncertainty.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Visualizing spec- tral bundle adjustment uncertainty

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.711092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 70faa865-1f54-4a23-ba12-8cfeac34194d · outbound

This paper cites Bayesian diffu- sion models for 3d shape reconstruction.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Bayesian diffu- sion models for 3d shape reconstruction

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.703345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 372da853-b6dd-4b86-a49a-fa88605a3f9b · outbound

This paper cites Learning neu- ral implicit representations from photometric images.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Learning neu- ral implicit representations from photometric images

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.695234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b5ec4065-6496-489f-8f1c-27ffacd7042b · outbound

This paper cites Active neural mapping.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Active neural mapping

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.686704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 31e2b13d-ab55-4f83-9913-cf01cba3265d · outbound

This paper cites V ol- ume rendering of neural implicit surfaces.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields V ol- ume rendering of neural implicit surfaces

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.678812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6dbfda6b-5a3f-45e1-8c27-bf46be420a4e · outbound

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

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Plenoctrees for real-time rendering of neural radiance fields

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.669800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 09d4ea0c-4b04-4aa7-8874-6147a5ef05cd · outbound

This paper cites Mononerd: Nerf-like representations for monocular 3d object detection.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Mononerd: Nerf-like representations for monocular 3d object detection

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.661288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3d21f808-bf9c-4e05-9563-79f78c12eb80 · outbound

This paper cites Neural ensemble search for uncertainty estimation and dataset shift.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Neural ensemble search for uncertainty estimation and dataset shift

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.651034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2df1c94e-7ac3-4b2e-a889-27780d2f80fe · outbound

This paper cites Activermap: Radiance field for active mapping and planning.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Activermap: Radiance field for active mapping and planning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.640760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7ce216c1-4be1-4a72-b8df-c8847f61cd1c · outbound

This paper cites Nerf++: Analyzing and improving neural radiance fields.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Nerf++: Analyzing and improving neural radiance fields

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.630549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 656942b5-8504-4a9e-97e2-4a352ee7aba7 · outbound

This paper cites Mvsnerf++: Fast generalizable radiance field reconstruction from multi-view stereo.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Mvsnerf++: Fast generalizable radiance field reconstruction from multi-view stereo

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.549699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 99466480-ead9-424f-ba45-1e8a2b68ba73 · outbound

This paper cites Oswald, and Marc Pollefeys.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Oswald, and Marc Pollefeys

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:26:59.397978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 4f712eb9-9ef3-4c65-bb9b-3879a827544e · inbound

CASA-SDF: Curriculum-Aware Spatial Adaptation with Curvature-Guided Density for Neural Implicit Surface Reconstruction cites this paper.

CASA-SDF: Curriculum-Aware Spatial Adaptation with Curvature-Guided Density for Neural Implicit Surface Reconstruction BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-02T05:06:28.969247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.