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Paper Citation Record · LEDGER

Geometric Neural Process Fields

As of 10 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2502.02338.

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

pith.paper-citation-record.v1
2502.02338 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:34:02.263194Z

measured 30 of 30 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

30 of 30 outbound references displayed

  • verified exact3
  • verified fuzzy4
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0b254a50-288c-4dd8-816f-2f21f1d82cb5 · outbound

This paper cites NeRF in detail: Learning to sample for view synthesis.

Geometric Neural Process Fields NeRF in detail: Learning to sample for view synthesis

Reference 1

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local_arxiv, observed 2026-08-09T12:34:02.693090Z

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 dfb1bcdd-99f9-4ccb-b186-2bc9fc284e5d · outbound

This paper cites an unresolved cited work.

Geometric Neural Process Fields Unresolved cited work

Reference 4

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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 fc345eba-8be6-4b3e-805b-8b43d1ced692 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Geometric Neural Process Fields Imagenet: A large-scale hierarchical image database

Reference 5

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Observation 800d1241-2e46-4b4b-9f4d-f1b23ec2145c · outbound

This paper cites From data to functa: Your data point is a function and you can treat it like one.

Geometric Neural Process Fields From data to functa: Your data point is a function and you can treat it like one

Reference 7

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Observation 6ce7ef6e-e35c-43bd-8d5f-df27168f71cc · outbound

This paper cites Versatile Neural Processes for Learning Implicit Neural Representations.

Geometric Neural Process Fields Versatile Neural Processes for Learning Implicit Neural Representations

Reference 10

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local_arxiv, observed 2026-08-09T12:34:02.558710Z

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 7e4eee52-a191-4eb1-99d2-57413b9bf7bb · outbound

This paper cites HyperNetworks.

Geometric Neural Process Fields HyperNetworks

Reference 11

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Observation 56d98909-8909-4c05-bb56-dc202265589c · outbound

This paper cites LRM: Large Reconstruction Model for Single Image to 3D.

Geometric Neural Process Fields LRM: Large Reconstruction Model for Single Image to 3D

Reference 12

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Observation 39cb8c12-efcb-44bd-8094-ec8a5b7ea64e · outbound

This paper cites Attentive Neural Processes.

Geometric Neural Process Fields Attentive Neural Processes

Reference 13

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Observation 68e8ecf6-98ca-4ad6-8424-43c25fe1dda2 · outbound

This paper cites an unresolved cited work.

Geometric Neural Process Fields Unresolved cited work

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 b73a4d95-1812-4e16-a3fc-61dde3f895c2 · outbound

This paper cites Auto-Encoding Variational Bayes.

Geometric Neural Process Fields Auto-Encoding Variational Bayes

Reference 15

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Observation a453221d-4743-4c7f-a6ab-d079eb4054ac · outbound

This paper cites Laser: Latent Set Representations for 3D Generative Modeling.

Geometric Neural Process Fields Laser: Latent Set Representations for 3D Generative Modeling

Reference 16

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Observation 7049cf1c-5879-4ef3-b377-950a8635c326 · outbound

This paper cites Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling.

Geometric Neural Process Fields Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling

Reference 17

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Observation 00b7b4d2-cc67-4453-b5ac-63d541403f3d · outbound

This paper cites On First-Order Meta-Learning Algorithms.

Geometric Neural Process Fields On First-Order Meta-Learning Algorithms

Reference 18

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Observation 1bd10a8d-e103-4f93-bc3d-284c7ad2a70d · outbound

This paper cites Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

Geometric Neural Process Fields Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

Reference 19

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Observation 2a3952a4-0238-4ce5-a9ae-eac5f88877e8 · outbound

This paper cites Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation.

Geometric Neural Process Fields Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation

Reference 20

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Observation 5b3b5542-83ec-454c-a816-3fb4fd2c662a · outbound

This paper cites FG-NeRF: Flow-GAN based Probabilistic Neural Radiance Field for Independence-Assumption-Free Uncertainty Estimation.

Geometric Neural Process Fields FG-NeRF: Flow-GAN based Probabilistic Neural Radiance Field for Independence-Assumption-Free Uncertainty Estimation

Reference 22

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local_arxiv, observed 2026-08-09T12:34:02.333411Z

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 bfd5d7ea-24b3-46d8-b9b3-d09cfd4c87e0 · outbound

This paper cites Continuous PDE Dynamics Forecasting with Implicit Neural Representations.

Geometric Neural Process Fields Continuous PDE Dynamics Forecasting with Implicit Neural Representations

Reference 23

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Observation cf0a8bd4-27d9-480b-8d93-e5cf04ec9944 · outbound

This paper cites Neural Radiance Field Rendering In this section, we outline the rendering function of NeRF (Mildenhall et al., 2021).

Geometric Neural Process Fields Neural Radiance Field Rendering In this section, we outline the rendering function of NeRF (Mildenhall et al., 2021)

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 9671d5a0-7cf1-4a1b-bad4-d7aa88cb4c15 · outbound

This paper cites an unresolved cited work.

Geometric Neural Process Fields Unresolved cited work

Reference 28

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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 01247e34-a78b-4740-b872-af539691f9f8 · outbound

This paper cites overfitting.

Geometric Neural Process Fields overfitting

Reference 29

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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 17c5b765-9d7e-474a-ac81-dd61be932c1a · outbound

This paper cites We first represent each target location by integrating the geometric bases, i.e., < xn T , BC >, which aggregates the relevant locality and semantic information for the given input.

Geometric Neural Process Fields We first represent each target location by integrating the geometric bases, i.e., < xn T , BC >, which aggregates the relevant locality and semantic information for the given input

Reference 30

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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 23aa7988-1592-42b0-a74d-66b4b979c895 · outbound

This paper cites We use a self-attention module, denoted Att, to extract these Gaussian parameters from the context data.

Geometric Neural Process Fields We use a self-attention module, denoted Att, to extract these Gaussian parameters from the context data

Reference 32

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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 c5441adf-da83-483e-bede-5496587cd6ac · outbound

This paper cites Generative Models as Distributions of Functions.

Geometric Neural Process Fields Generative Models as Distributions of Functions

Reference 2009

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Observation a67630f1-fa95-47ab-88f8-ce8a6012bf28 · outbound

This paper cites Neural Processes.

Geometric Neural Process Fields Neural Processes

Reference 2017

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Observation 75a1015b-167f-4903-856c-985dc85927ee · outbound

This paper cites Neural Processes with Stochastic Attention: Paying more attention to the context dataset.

Geometric Neural Process Fields Neural Processes with Stochastic Attention: Paying more attention to the context dataset

Reference 2019

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Observation 0ca82820-9822-4adc-b30b-d3af30b0c3f6 · outbound

This paper cites Convolutional Conditional Neural Processes.

Geometric Neural Process Fields Convolutional Conditional Neural Processes

Reference 2020

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source=pdf_text observed=2026-08-09T12:34:02.131057Z digest=sha256:651897f990270df99b60b93d0d54d21454a0988804fd81a36d420162e1345eb8

Observation 995b8949-fb15-4802-9dcf-65d0eba0b523 · outbound

This paper cites Autoregressive Conditional Neural Processes.

Geometric Neural Process Fields Autoregressive Conditional Neural Processes

Reference 2021

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:34:02.089499Z digest=sha256:540115426d7c30eff67386f677cb2aafd68b7a529d6cf7e31d694e9745a01e4f

Observation 4f163327-dde6-4398-8581-9f508f2980a8 · outbound

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

Geometric Neural Process Fields Explicit Correspondence Matching for Generalizable Neural Radiance Fields

Reference 2022

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Observation 8c757d50-2936-4827-a12d-d19aea77c7ef · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Geometric Neural Process Fields ShapeNet: An Information-Rich 3D Model Repository

Reference 2023

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Observation ec7033b1-2968-4abe-b5db-844b298fe5bc · outbound

This paper cites Is Attention All That NeRF Needs?.

Geometric Neural Process Fields Is Attention All That NeRF Needs?

Reference 2024

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Unavailable: canonical work link unavailable.

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Pith citing papers

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