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Paper Citation Record · LEDGER

Toward Robust Neural Reconstruction from Sparse Point Sets

As of 15 August 2026, this Paper Citation Record lists 100 of 100 outbound references and 0 inbound Pith citation observations for arXiv:2412.16361.

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pith.paper-citation-record.v1
2412.16361 v1

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Outbound references

Observation 0eddb9f1-99e0-4ffd-a18a-cb960185ef21 · outbound

This paper cites Neural point-based graphics.

Toward Robust Neural Reconstruction from Sparse Point Sets Neural point-based graphics

Reference 1

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Observation 66d58d1c-4af3-4cd0-baab-a4a96bd13b06 · outbound

This paper cites The power crust, unions of balls, and the medial axis transform.

Toward Robust Neural Reconstruction from Sparse Point Sets The power crust, unions of balls, and the medial axis transform

Reference 2

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This paper cites Sal: Sign agnostic learn- ing of shapes from raw data.

Toward Robust Neural Reconstruction from Sparse Point Sets Sal: Sign agnostic learn- ing of shapes from raw data

Reference 3

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This paper cites Sald: Sign agnostic learn- ing with derivatives.

Toward Robust Neural Reconstruction from Sparse Point Sets Sald: Sign agnostic learn- ing with derivatives

Reference 4

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Observation e94752eb-dd9b-4283-aa9d-156fddb7f42b · outbound

This paper cites Regu- larization for wasserstein distributionally robust optimization.

Toward Robust Neural Reconstruction from Sparse Point Sets Regu- larization for wasserstein distributionally robust optimization

Reference 5

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Observation 9dfe8d93-ecac-483e-8594-1234a977aa70 · outbound

This paper cites Digs: Divergence guided shape implicit neu- ral representation for unoriented point clouds.

Toward Robust Neural Reconstruction from Sparse Point Sets Digs: Divergence guided shape implicit neu- ral representation for unoriented point clouds

Reference 6

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This paper cites Robust solutions of optimization problems affected by uncertain probabilities.

Toward Robust Neural Reconstruction from Sparse Point Sets Robust solutions of optimization problems affected by uncertain probabilities

Reference 7

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This paper cites The ball-pivoting algorithm for surface reconstruction.

Toward Robust Neural Reconstruction from Sparse Point Sets The ball-pivoting algorithm for surface reconstruction

Reference 8

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Observation 6c388e35-5d10-4cc8-8432-fc7f1fa2dd75 · outbound

This paper cites Data- driven robust optimization.

Toward Robust Neural Reconstruction from Sparse Point Sets Data- driven robust optimization

Reference 9

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Observation 8323d71f-a6a2-4dbc-96fa-73cf75369d4f · outbound

This paper cites Semi-supervised learning based on distributionally robust optimization, 2020.

Toward Robust Neural Reconstruction from Sparse Point Sets Semi-supervised learning based on distributionally robust optimization, 2020

Reference 10

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Observation f7ef6edb-8f92-47c7-aba7-f94e1965d186 · outbound

This paper cites Quantifying distribu- tional model risk via optimal transport.

Toward Robust Neural Reconstruction from Sparse Point Sets Quantifying distribu- tional model risk via optimal transport

Reference 11

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Toward Robust Neural Reconstruction from Sparse Point Sets Unresolved cited work

Reference 12

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Observation 9b2f98d6-f9fb-45e2-8dfc-91ca2ccd3289 · outbound

This paper cites Poco: Point con- volution for surface reconstruction.

Toward Robust Neural Reconstruction from Sparse Point Sets Poco: Point con- volution for surface reconstruction

Reference 13

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Observation b8d6fdae-1ad2-4a73-a28e-8aaba650ced2 · outbound

This paper cites Needrop: Self-supervised shape represen- tation from sparse point clouds using needle dropping.

Toward Robust Neural Reconstruction from Sparse Point Sets Needrop: Self-supervised shape represen- tation from sparse point clouds using needle dropping

Reference 14

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This paper cites A Unified Wasserstein Distributional Robustness Framework for Adversarial Training.

Toward Robust Neural Reconstruction from Sparse Point Sets A Unified Wasserstein Distributional Robustness Framework for Adversarial Training

Reference 15

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This paper cites Reconstruction and representation of 3d objects with radial basis functions.

Toward Robust Neural Reconstruction from Sparse Point Sets Reconstruction and representation of 3d objects with radial basis functions

Reference 16

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Toward Robust Neural Reconstruction from Sparse Point Sets Unresolved cited work

Reference 17

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Observation 4ecac2fb-ac2d-4cfb-aa8b-e4cf7d56d346 · outbound

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

Toward Robust Neural Reconstruction from Sparse Point Sets Efficient geometry-aware 3d generative adversarial networks

Reference 18

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Toward Robust Neural Reconstruction from Sparse Point Sets ShapeNet: An Information-Rich 3D Model Repository

Reference 19

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Observation 4a09c027-b9a8-423e-b478-20bff224de88 · outbound

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Toward Robust Neural Reconstruction from Sparse Point Sets Latent partition implicit with surface codes for 3d representation

Reference 20

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Observation 259d7b55-c398-444e-8dff-69b95038f03c · outbound

This paper cites Unsupervised inference of signed distance functions from single sparse point clouds without learning priors.

Toward Robust Neural Reconstruction from Sparse Point Sets Unsupervised inference of signed distance functions from single sparse point clouds without learning priors

Reference 21

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Toward Robust Neural Reconstruction from Sparse Point Sets Gridpull: To- wards scalability in learning implicit representations from 3d point clouds

Reference 22

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Toward Robust Neural Reconstruction from Sparse Point Sets Implicit feature net- works for texture completion from partial 3d data

Reference 23

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Toward Robust Neural Reconstruction from Sparse Point Sets Sinkhorn distances: Lightspeed computation of optimal transport

Reference 24

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Toward Robust Neural Reconstruction from Sparse Point Sets A point set generation network for 3d object reconstruction from a single image

Reference 25

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Toward Robust Neural Reconstruction from Sparse Point Sets Distributionally robust stochas- tic optimization with wasserstein distance

Reference 26

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Toward Robust Neural Reconstruction from Sparse Point Sets Distributionally robust optimiza- tion and its tractable approximations

Reference 27

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Toward Robust Neural Reconstruction from Sparse Point Sets Implicit geometric regularization for learning shapes

Reference 28

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Toward Robust Neural Reconstruction from Sparse Point Sets Algebraic point set surfaces

Reference 29

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Toward Robust Neural Reconstruction from Sparse Point Sets Iterative Poisson Surface Reconstruction (iPSR) for Unoriented Points

Reference 30

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Toward Robust Neural Reconstruction from Sparse Point Sets Neusurf: On-surface priors for neural surface reconstruction from sparse input views

Reference 31

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Toward Robust Neural Reconstruction from Sparse Point Sets Neural kernel surface recon- struction

Reference 32

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Toward Robust Neural Reconstruction from Sparse Point Sets Neural kernel surface recon- struction

Reference 33

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Toward Robust Neural Reconstruction from Sparse Point Sets Barron, Pieter Abbeel, and Ben Poole

Reference 34

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Toward Robust Neural Reconstruction from Sparse Point Sets Neural mesh-based graphics

Reference 35

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Toward Robust Neural Reconstruction from Sparse Point Sets Geotransfer: Generalizable few-shot multi-view reconstruc- tion via transfer learning

Reference 36

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Toward Robust Neural Reconstruction from Sparse Point Sets Local implicit grid representations for 3d scenes

Reference 37

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Observation a4c762b5-c608-4ce6-b6d4-3185430fdfb8 · outbound

This paper cites Neu- ral 3d mesh renderer.

Toward Robust Neural Reconstruction from Sparse Point Sets Neu- ral 3d mesh renderer

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:50.111902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.149902Z digest=sha256:ddd2d5a6f83f20f5892fd768f8ca37255ac5a84e4e03cb4e9ceaf3e01b43f9ab

Observation b4ab562c-10e6-4bed-ade6-0a530003c747 · outbound

This paper cites Screened poisson surface reconstruction.

Toward Robust Neural Reconstruction from Sparse Point Sets Screened poisson surface reconstruction

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:50.101054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.155377Z digest=sha256:b8939ade657d7e139a7e27305d09be3309a80312094c86e40292bb88b9636dfc

Observation 6d531589-121a-4695-bf5a-8b9e9cf97339 · outbound

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

Toward Robust Neural Reconstruction from Sparse Point Sets 3d gaussian splatting for real-time radiance field rendering

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:50.089609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.159128Z digest=sha256:f1830b075b512ae9e9244ace3a8f439f843744d3d933193a69b1a002dbbcea0e

Observation a12a9d0f-4a6e-4acf-881c-a96c4aea5195 · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.

Toward Robust Neural Reconstruction from Sparse Point Sets Tanks and temples: Benchmarking large-scale scene reconstruction

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:50.078325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.162713Z digest=sha256:087b7f2318d992cda397486b8db1476dd64b8fed9f437ad1387840845d8de608

Observation bfa4c670-1a95-49c7-a33b-b1129a778907 · outbound

This paper cites Provably good moving least squares.

Toward Robust Neural Reconstruction from Sparse Point Sets Provably good moving least squares

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:50.067589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 9f0f9005-5a38-43e8-8310-ee7220ec7bae · outbound

This paper cites Octree guided unoriented surface reconstruc- tion.

Toward Robust Neural Reconstruction from Sparse Point Sets Octree guided unoriented surface reconstruc- tion

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:50.056754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ac84ed09-f2cd-4497-a997-df77daeea4e7 · outbound

This paper cites Learn- ing generalizable light field networks from few images.

Toward Robust Neural Reconstruction from Sparse Point Sets Learn- ing generalizable light field networks from few images

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:50.045881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.173132Z digest=sha256:8145c7458330b484854d53209ad53b3e62dcf2aa8a9a57eb53d07a4397862231

Observation 5b8f5d58-6857-43f1-ba82-d6fd40f7623f · outbound

This paper cites Regulariz- ing neural radiance fields from sparse rgb-d inputs.

Toward Robust Neural Reconstruction from Sparse Point Sets Regulariz- ing neural radiance fields from sparse rgb-d inputs

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:50.034644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.175945Z digest=sha256:a2ef8556aa7686d5571ee2dd605eb8ec7eadc4259d8e33e219fae6a5a7e36ae6

Observation e38e9510-0348-4151-bd0b-d971d05f5397 · outbound

This paper cites Auxiliary Tasks in Multi-task Learning.

Toward Robust Neural Reconstruction from Sparse Point Sets Auxiliary Tasks in Multi-task Learning

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T10:42:49.178809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:42:49.178809Z digest=sha256:ba3b84f5622d1800144b9c324106af019458a28fd640697b4680cc996737af89

Observation a332dee3-94cf-4433-9d08-fcd0bb9c19dd · outbound

This paper cites Sur- face reconstruction from point clouds without normals by parametrizing the gauss formula.

Toward Robust Neural Reconstruction from Sparse Point Sets Sur- face reconstruction from point clouds without normals by parametrizing the gauss formula

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T10:42:49.181953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:42:49.181953Z digest=sha256:cc8bcefee6127f5ba8e108a745134fd9a67a6d16ca6c586cf1bfeeb9babc3f85

Observation 63419c10-de22-42f6-bb64-a6425284c24b · outbound

This paper cites Dynamic plane convolutional occupancy networks.

Toward Robust Neural Reconstruction from Sparse Point Sets Dynamic plane convolutional occupancy networks

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:50.015978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.185245Z digest=sha256:1c3c00ed64566af5aa4dd3c15d426b232b916c39af0f8e6cded411184053ab25

Observation d5fe2fb1-a2fe-419e-9e5c-04c7410948c1 · outbound

This paper cites Phase transitions, distance functions, and implicit neural representations.

Toward Robust Neural Reconstruction from Sparse Point Sets Phase transitions, distance functions, and implicit neural representations

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:50.006018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.188318Z digest=sha256:15c5489be185a1b95e0064f7cbf5e201bd0cadd025efecbde0c82e600224c14b

Observation 67291194-c887-4fd1-b478-9d77ebb35760 · outbound

This paper cites Learning Smooth Neural Functions via Lipschitz Regularization.

Toward Robust Neural Reconstruction from Sparse Point Sets Learning Smooth Neural Functions via Lipschitz Regularization

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T10:42:49.191168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:42:49.191168Z digest=sha256:d2f2f4219a0a75fc9bb3b06edb93250ec9900050aaf831a37efcea13f3ad402e

Observation 5c16526b-dfc4-417f-b9e2-599b55c04315 · outbound

This paper cites Meshing point clouds with predicted intrinsic-extrinsic ratio guidance.

Toward Robust Neural Reconstruction from Sparse Point Sets Meshing point clouds with predicted intrinsic-extrinsic ratio guidance

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:49.995298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.195042Z digest=sha256:b545d7e29d17261daa54b2a9b5d2278d38ff116e0271fc55467f7b1c29302d53

Observation 46af7db5-d306-4d6b-9287-59aed64cfa0e · outbound

This paper cites Deep implicit moving least-squares functions for 3d reconstruction.

Toward Robust Neural Reconstruction from Sparse Point Sets Deep implicit moving least-squares functions for 3d reconstruction

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:49.984845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.198548Z digest=sha256:bcef8d6929b89c9b7df2131f347f35246072eb253a544627ac3b4472f19b7c23

Observation 0a4e5d5c-7ccf-46ae-8669-95357821fcfa · outbound

This paper cites Marching cubes: A high resolution 3d surface construction algorithm.

Toward Robust Neural Reconstruction from Sparse Point Sets Marching cubes: A high resolution 3d surface construction algorithm

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:49.972930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.202687Z digest=sha256:a5188d5befb4db957d9db74ffb98d7241bf13e23a29a74c6d3a5534c73fc3976

Observation 2336d481-6ea4-4cc9-9d29-0c8d365ea79b · outbound

This paper cites Neural-pull: Learning signed distance functions from point clouds by learning to pull space onto surfaces.

Toward Robust Neural Reconstruction from Sparse Point Sets Neural-pull: Learning signed distance functions from point clouds by learning to pull space onto surfaces

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:49.961377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.206909Z digest=sha256:c201fe3fffeeb4890d8e390bf0d88413204e58e55bc19ce4c694c2aa8c2f6ee6

Observation 961c329c-18d4-4bb6-8f14-86c02433ad84 · outbound

This paper cites Reconstruct- ing surfaces for sparse point clouds with on-surface priors.

Toward Robust Neural Reconstruction from Sparse Point Sets Reconstruct- ing surfaces for sparse point clouds with on-surface priors

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:49.950683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.210374Z digest=sha256:e84a403c1be1b56fd66a9ab266cbc39db0ebd965e3ab5171c226080a3109ae0f

Observation bdecf81b-fcfd-4db8-9319-625044bc9a25 · outbound

This paper cites Surface reconstruction from point clouds by learning predictive context priors.

Toward Robust Neural Reconstruction from Sparse Point Sets Surface reconstruction from point clouds by learning predictive context priors

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:49.939131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.213939Z digest=sha256:9483c2b7b945195942dd5bb3a62a8e4e917077f75cd24503bc1c704c38814f77

Observation 7c9310af-f834-4d6a-9d6d-5b8ef028cdf4 · outbound

This paper cites Moving level-of-detail surfaces.

Toward Robust Neural Reconstruction from Sparse Point Sets Moving level-of-detail surfaces

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:49.927437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 90a012b2-6522-4f3d-a87a-27919c2b4a1c · outbound

This paper cites Occupancy networks: Learning 3d reconstruction in function space.

Toward Robust Neural Reconstruction from Sparse Point Sets Occupancy networks: Learning 3d reconstruction in function space

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:49.913632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.220794Z digest=sha256:e107afb45a942d26ca5ba014150f2e009c191fd2a35006d4ea83203a15f6029c

Observation 6aad9081-b72e-4451-a9b9-1f3816736fdb · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthe- sis.

Toward Robust Neural Reconstruction from Sparse Point Sets Nerf: Representing scenes as neural radiance fields for view synthe- sis

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:49.902742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.224896Z digest=sha256:1a1a7257eab71cd89b66fd934440ba46afbb733e65cf4beca0cfa3b152b5cb0a

Observation c28d35f9-9459-4bbb-b553-dd74cd53ac1c · outbound

This paper cites Distributional Smoothing with Virtual Adversarial Training.

Toward Robust Neural Reconstruction from Sparse Point Sets Distributional Smoothing with Virtual Adversarial Training

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T10:42:49.228846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:42:49.228846Z digest=sha256:e32f7ed82bc485b874fc38357fbc0dda77d6301bdc3ef584d296b64471c3f48c

Observation 2037c511-3347-44e1-9453-44756781523c · outbound

This paper cites Data-driven distributionally robust optimization using the wasserstein met- ric: performance guarantees and tractable reformulations.

Toward Robust Neural Reconstruction from Sparse Point Sets Data-driven distributionally robust optimization using the wasserstein met- ric: performance guarantees and tractable reformulations

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:49.891434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.232540Z digest=sha256:90fc4e4937b0a08548c2b797592287101377c66be38b5984c24e4bb476a4a49b

Observation 34d6d5f9-f115-4bb8-99c2-35b03c3f0602 · outbound

This paper cites Stochastic gra- dient methods for distributionally robust optimization with f-divergences.

Toward Robust Neural Reconstruction from Sparse Point Sets Stochastic gra- dient methods for distributionally robust optimization with f-divergences

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:49.879012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.238768Z digest=sha256:417da66f565b5fd076ac10c91fd32415f60e9fcba0cca968f1c139363948908a

Observation eda829d7-97f8-4f54-a095-23aa64bc69c5 · outbound

This paper cites Few’zero level set’- shot learning of shape signed distance functions in feature space.

Toward Robust Neural Reconstruction from Sparse Point Sets Few’zero level set’- shot learning of shape signed distance functions in feature space

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:49.866511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.242969Z digest=sha256:edff32f25e5202c3d00676a04a7d92a363b1c81dd31b2f882c62fcab627e8700

Observation d7742e1f-99cf-4b55-85f5-fcb14e8a201f · outbound

This paper cites Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries.

Toward Robust Neural Reconstruction from Sparse Point Sets Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-11T10:42:49.246944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:42:49.246944Z digest=sha256:3ed0ae0854d1abb29797cf85292e5fb3f1a4fb0d90f5c9418d6883c00655f744

Observation 4956ae37-c1c6-4bee-a66d-2843ce1fcf5b · outbound

This paper cites Mixing-denoising generalizable occupancy networks.

Toward Robust Neural Reconstruction from Sparse Point Sets Mixing-denoising generalizable occupancy networks

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-11T10:42:49.250772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:42:49.250772Z digest=sha256:2501f5292750dce10a400eca30f984cc2c84f273581830c2019b2251ecde5734

Observation 70397a2b-b3c6-4a79-bb71-245c4e70a068 · outbound

This paper cites Robustifying general- izable implicit shape networks with a tunable non-parametric model.

Toward Robust Neural Reconstruction from Sparse Point Sets Robustifying general- izable implicit shape networks with a tunable non-parametric model

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:49.848477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.254437Z digest=sha256:6c090db8f7bb38b942ff58e9043b0c92b6fb646b2a804ec354124d07823c8936

Observation 2089f0f8-bcd6-471f-988a-23fd44157c88 · outbound

This paper cites Unsupervised occu- pancy learning from sparse point cloud.

Toward Robust Neural Reconstruction from Sparse Point Sets Unsupervised occu- pancy learning from sparse point cloud

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:49.838477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.258191Z digest=sha256:ff260d6c8d3571a52bd5db4610f46eec59ba376e7924d82b71024edda101a0e4

Observation 370cf3b5-20e3-4e4d-9281-7ee783404744 · outbound

This paper cites Semanticposs: A point cloud dataset with large quantity of dynamic instances.

Toward Robust Neural Reconstruction from Sparse Point Sets Semanticposs: A point cloud dataset with large quantity of dynamic instances

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:49.828435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.262378Z digest=sha256:ca849eac4a69f10cc38ef1ecbb48f9275f05d887f94df1dbb61ec2959dfcef54

Observation a7855f3e-76ee-4c4d-a4cc-2fc51920af79 · outbound

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

Toward Robust Neural Reconstruction from Sparse Point Sets Deepsdf: Learning continuous signed distance functions for shape representation

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:49.816974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.265954Z digest=sha256:ab5db05a167b1d79bdedb1e8aa0dba381a0ef00b5fa836c99d308aa03aac263c

Observation 864b5f8f-900b-47ad-ab4d-0e3267d6f641 · outbound

This paper cites A linear time histogram metric for improved sift matching.

Toward Robust Neural Reconstruction from Sparse Point Sets A linear time histogram metric for improved sift matching

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:49.805615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.269622Z digest=sha256:813b530da50c355910a14829d19ff6a70a1567a1ac5f3d25fa464b5498a280f7

Observation 5777ddaa-b31e-4bb7-b467-b6475f5598db · outbound

This paper cites Convolutional occupancy net- works.

Toward Robust Neural Reconstruction from Sparse Point Sets Convolutional occupancy net- works

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:49.795880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.273178Z digest=sha256:8b2e6579ef5deb13ddb90ae6d31de7b30d7890649ad63a0650d75250acf6147a

Observation 1d034553-b186-4c8e-ba32-a288dae2b80a · outbound

This paper cites Shape as points: A differentiable poisson solver.

Toward Robust Neural Reconstruction from Sparse Point Sets Shape as points: A differentiable poisson solver

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:49.785875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:42:49.276592Z digest=sha256:98d07e061319efe719d5062e21a9a9d713ceeff9ca2c7bd5673c9d0c95616f5e

Observation bf52306f-1704-4fc3-90fc-6a359015d18c · outbound

This paper cites Distributionally Robust Optimization: A Review.

Toward Robust Neural Reconstruction from Sparse Point Sets Distributionally Robust Optimization: A Review

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-11T10:42:49.279885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:42:49.279885Z digest=sha256:7a61d88617bab490e0dab232860b7de1d96d0c1392209d0b1e405d6c0cd6abfb

Observation 457cf16a-b34a-4f93-852c-8582fc37c0c0 · outbound

This paper cites Differentiable surface triangulation.

Toward Robust Neural Reconstruction from Sparse Point Sets Differentiable surface triangulation

Reference 74

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 863dec0c-1f13-4583-b6d0-5419177be270 · outbound

This paper cites The earth mover’s distance as a metric for image retrieval.

Toward Robust Neural Reconstruction from Sparse Point Sets The earth mover’s distance as a metric for image retrieval

Reference 75

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 4aa1bba6-b5b9-4bc8-81b6-a3beb7699037 · outbound

This paper cites A min-max solution of an inventory problem.

Toward Robust Neural Reconstruction from Sparse Point Sets A min-max solution of an inventory problem

Reference 76

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 0bb1e7cc-fd0a-4d19-a7f4-de18093ccab0 · outbound

This paper cites Kernel methods for implicit surface modeling.

Toward Robust Neural Reconstruction from Sparse Point Sets Kernel methods for implicit surface modeling

Reference 77

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 462dd857-4ed8-4da5-bdc6-a225a2c53739 · outbound

This paper cites Distributionally robust logistic regres- sion.

Toward Robust Neural Reconstruction from Sparse Point Sets Distributionally robust logistic regres- sion

Reference 78

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1f5af60f-0547-42fa-9fe7-0ca404aa3417 · outbound

This paper cites Certifying Some Distributional Robustness with Principled Adversarial Training.

Toward Robust Neural Reconstruction from Sparse Point Sets Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 79

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1c79b1e1-636b-432c-a469-b8d304548fa0 · outbound

This paper cites Implicit neural representa- tions with periodic activation functions.

Toward Robust Neural Reconstruction from Sparse Point Sets Implicit neural representa- tions with periodic activation functions

Reference 80

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 110e3319-ad74-45c1-83db-d3c0a8c0c45c · outbound

This paper cites Earth mover’s distances on discrete surfaces.

Toward Robust Neural Reconstruction from Sparse Point Sets Earth mover’s distances on discrete surfaces

Reference 81

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation a30da00c-4b1c-44af-b0fa-acaf42f783c0 · outbound

This paper cites Convolutional wasserstein distances: Ef- ficient optimal transportation on geometric domains.

Toward Robust Neural Reconstruction from Sparse Point Sets Convolutional wasserstein distances: Ef- ficient optimal transportation on geometric domains

Reference 82

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 64f9efe4-115e-4361-aa15-121d3a5cc39e · outbound

This paper cites Distributionally robust deep learning as a generalization of adversarial training.

Toward Robust Neural Reconstruction from Sparse Point Sets Distributionally robust deep learning as a generalization of adversarial training

Reference 83

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 0a406806-d0cf-47f9-97c7-ed66192229e6 · outbound

This paper cites Generalizing to unseen domains via adversarial data augmentation.

Toward Robust Neural Reconstruction from Sparse Point Sets Generalizing to unseen domains via adversarial data augmentation

Reference 84

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e401e11d-aee1-49d9-acf7-edc4490b2358 · outbound

This paper cites Sinkhorn Distributionally Robust Optimization.

Toward Robust Neural Reconstruction from Sparse Point Sets Sinkhorn Distributionally Robust Optimization

Reference 85

Resolution
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Unavailable: canonical work link unavailable.

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Observation 221297ed-f40a-4e48-846f-3167ba43cc0c · outbound

This paper cites Vggsfm: Visual geometry grounded deep structure from motion.

Toward Robust Neural Reconstruction from Sparse Point Sets Vggsfm: Visual geometry grounded deep structure from motion

Reference 86

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 68e371aa-455a-4c60-83d5-3be82312d32a · outbound

This paper cites Pixel2mesh: Generating 3d mesh models from single rgb images.

Toward Robust Neural Reconstruction from Sparse Point Sets Pixel2mesh: Generating 3d mesh models from single rgb images

Reference 87

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 3f26b319-46f5-4594-8a82-395c76db94ad · outbound

This paper cites NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction.

Toward Robust Neural Reconstruction from Sparse Point Sets NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 88

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dce7ff3f-20f5-4381-bd3c-621f76259e59 · outbound

This paper cites Deep geometric prior for surface reconstruction.

Toward Robust Neural Reconstruction from Sparse Point Sets Deep geometric prior for surface reconstruction

Reference 89

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 973085f0-1ddd-4467-83f4-e2ff7de0d174 · outbound

This paper cites Neural splines: Fitting 3d surfaces with infinitely-wide neural networks.

Toward Robust Neural Reconstruction from Sparse Point Sets Neural splines: Fitting 3d surfaces with infinitely-wide neural networks

Reference 90

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 8be7220c-c043-48bb-8dd7-b1c2e15a68d2 · outbound

This paper cites Neural fields as learnable kernels for 3d reconstruction.

Toward Robust Neural Reconstruction from Sparse Point Sets Neural fields as learnable kernels for 3d reconstruction

Reference 91

Resolution
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no resolver link, observed 2026-08-11T10:42:49.341491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e04457f5-203e-46e4-b46d-8f2f7cee2f8f · outbound

This paper cites Blendedmvs: A large- scale dataset for generalized multi-view stereo networks.

Toward Robust Neural Reconstruction from Sparse Point Sets Blendedmvs: A large- scale dataset for generalized multi-view stereo networks

Reference 92

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 388de008-b448-4bbf-a4cc-70aa3a6c91e6 · outbound

This paper cites V ol- ume rendering of neural implicit surfaces.Advances in Neural Information Processing Systems, 34:4805–4815, 2021.

Toward Robust Neural Reconstruction from Sparse Point Sets V ol- ume rendering of neural implicit surfaces.Advances in Neural Information Processing Systems, 34:4805–4815, 2021

Reference 93

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1162cd12-b2a6-4c39-baac-a22e0c904c5d · outbound

This paper cites Spar- secraft: Few-shot neural reconstruction through stereopsis guided geometric linearization.

Toward Robust Neural Reconstruction from Sparse Point Sets Spar- secraft: Few-shot neural reconstruction through stereopsis guided geometric linearization

Reference 94

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 62946d1d-3c58-452e-b765-350b48dd818b · outbound

This paper cites Dense scene reconstruc- tion with points of interest.

Toward Robust Neural Reconstruction from Sparse Point Sets Dense scene reconstruc- tion with points of interest

Reference 95

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7b0ad5fc-025a-4354-bf41-6a482528301b · outbound

This paper cites The DRO framework operates by defining an uncertainty set U, typically modeled as a ball of radiusϵ around an empirical distribution ˆQn , such that U = {Q : d(Q, ˆQn) ≤ ϵ}.

Toward Robust Neural Reconstruction from Sparse Point Sets The DRO framework operates by defining an uncertainty set U, typically modeled as a ball of radiusϵ around an empirical distribution ˆQn , such that U = {Q : d(Q, ˆQn) ≤ ϵ}

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:49.559160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation a128b8e6-6117-4adc-a9ac-97da330da836 · outbound

This paper cites Varying the point cloud density In order to assess the performance of our method under vari- ous point cloud densities we perform an ablative analysis on the SRB benchmark [89].

Toward Robust Neural Reconstruction from Sparse Point Sets Varying the point cloud density In order to assess the performance of our method under vari- ous point cloud densities we perform an ablative analysis on the SRB benchmark [89]

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:42:49.547827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7eb9c329-db6e-475e-b348-5b51ac421da2 · outbound

This paper cites an unresolved cited work.

Toward Robust Neural Reconstruction from Sparse Point Sets Unresolved cited work

Reference 98

Resolution
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raw_fallback, observed 2026-08-11T10:42:49.536498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 8b1985c9-bd11-409d-89c3-5d975f9653b2 · outbound

This paper cites an unresolved cited work.

Toward Robust Neural Reconstruction from Sparse Point Sets Unresolved cited work

Reference 99

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 5f240fe2-87bc-490c-8c32-5bbaf0c8d9d2 · outbound

This paper cites Let S and ˆS denote the ground truth and predicted meshes, respectively.

Toward Robust Neural Reconstruction from Sparse Point Sets Let S and ˆS denote the ground truth and predicted meshes, respectively

Reference 100

Resolution
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raw_fallback, observed 2026-08-11T10:42:49.512790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Pith citing papers

No inbound Pith citation observations are available.