Paper Citation Record · LEDGER

VI3NR: Variance Informed Initialization for Implicit Neural Representations

As of 17 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2504.19270.

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

pith.paper-citation-record.v1
2504.19270 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:03:59.192777Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

33 of 33 outbound references displayed

verified exact0
verified fuzzy23
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b88de963-382a-4bab-8810-19da04208ec6 · outbound

This paper cites Ash and C.A.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Ash and C.A

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.761249Z

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 4ca61b8a-6912-4a0c-a54e-8cc5013f871b · outbound

This paper cites SAL: Sign Agnostic Learning of shapes from raw data.

VI3NR: Variance Informed Initialization for Implicit Neural Representations SAL: Sign Agnostic Learning of shapes from raw data

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.737441Z

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

Observation 07148673-ae35-4faf-979c-44174f0e0613 · outbound

This paper cites SALD: Sign Agnostic Learning with Derivatives.

VI3NR: Variance Informed Initialization for Implicit Neural Representations SALD: Sign Agnostic Learning with Derivatives

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.718941Z

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

Observation b727dce7-49fc-45ad-918e-7c1afc0c9562 · outbound

This paper cites Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T06:03:59.053182Z

Source-reported events for the cited work

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Observation 2c38c50c-eb18-412e-b78a-664beb1c7591 · outbound

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

VI3NR: Variance Informed Initialization for Implicit Neural Representations Digs: Divergence guided shape implicit neu- ral representation for unoriented point clouds

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.685297Z

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

Observation 9b81e925-6158-4fb6-916b-baaca0c9ef51 · outbound

This paper cites Kodak Lossless True Color Image Suite.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Kodak Lossless True Color Image Suite

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.668864Z

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 764e3dfd-02d3-4757-a153-957d8a5e91ac · outbound

This paper cites Understanding the diffi- culty of training deep feedforward neural networks.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Understanding the diffi- culty of training deep feedforward neural networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.653180Z

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 d61c58e8-4370-4745-84b7-783f87a0c16f · outbound

This paper cites Implicit Geometric Regularization for learn- ing shapes.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Implicit Geometric Regularization for learn- ing shapes

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.635668Z

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

Observation 1ab7ab21-fdee-4394-9e07-1dbc0e74c203 · outbound

This paper cites Zhang, Shaoqing Ren, and Jian Sun.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Zhang, Shaoqing Ren, and Jian Sun

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.617122Z

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 c364fbaf-25c4-47a2-bac7-151efa081aab · outbound

This paper cites On weight initialization in deep neural networks, 2017.

VI3NR: Variance Informed Initialization for Implicit Neural Representations On weight initialization in deep neural networks, 2017

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.598009Z

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 243586f0-8f2c-4600-a8aa-e1ce628ff340 · outbound

This paper cites Efficient backprop.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Efficient backprop

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.580717Z

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 b02740a7-cda8-46d9-86c5-6ae8bcd4f39d · outbound

This paper cites Bacon: Band-limited coordinate net- works for multiscale scene representation.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Bacon: Band-limited coordinate net- works for multiscale scene representation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.562733Z

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 24a6d9db-688d-40c5-b2cc-4772fff2dcc7 · outbound

This paper cites Finer: Flexi- ble spectral-bias tuning in implicit neural representation by variable-periodic activation functions.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Finer: Flexi- ble spectral-bias tuning in implicit neural representation by variable-periodic activation functions

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.545988Z

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 05f264c8-fa74-4ef2-8e7e-5ea349cca3ed · outbound

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

VI3NR: Variance Informed Initialization for Implicit Neural Representations Occupancy networks: Learning 3d reconstruction in function space

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T06:03:59.103491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8716bade-3476-436f-b2cf-519de52898d3 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Srinivasan, Matthew Tancik, Jonathan T

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.519170Z

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

Observation 12b75523-b808-48c4-b90e-4b63efb83abb · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T06:03:59.112397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce355135-37c9-4c6a-8699-9730c28ea2b4 · outbound

This paper cites Deepsdf: Learning con- tinuous signed distance functions for shape representation.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Deepsdf: Learning con- tinuous signed distance functions for shape representation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T06:03:59.116926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bb31ce3-e385-411f-93be-c1a5eeba7fe7 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Pytorch: An imperative style, high-performance deep learning library

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.482443Z

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 a1ee6a14-1819-44b0-9fda-b832373ccbc3 · outbound

This paper cites Beyond periodicity: Towards a unifying framework for activations in coordinate- mlps.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Beyond periodicity: Towards a unifying framework for activations in coordinate- mlps

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.466659Z

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 aac8b63c-be6f-4473-a64a-370d7c5e406a · outbound

This paper cites Pifu: Pixel-aligned implicit function for high-resolution clothed human digitiza- tion.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Pifu: Pixel-aligned implicit function for high-resolution clothed human digitiza- tion

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T06:03:59.130017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54dd84f5-a639-4692-8d65-507461d96941 · outbound

This paper cites Wire: Wavelet implicit neural representations.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Wire: Wavelet implicit neural representations

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.437102Z

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 926711d9-efa9-41ca-81fc-9004c6e536ce · outbound

This paper cites A Sampling Theory Perspective on Activations for Implicit Neural Representations.

VI3NR: Variance Informed Initialization for Implicit Neural Representations A Sampling Theory Perspective on Activations for Implicit Neural Representations

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T06:03:59.138816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34f48459-2231-4d34-8174-620229018dd4 · outbound

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

VI3NR: Variance Informed Initialization for Implicit Neural Representations Implicit neural representa- tions with periodic activation functions

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.419360Z

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 78a03fac-f13c-4c24-8663-3593c4ce122e · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimen- sional domains.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Fourier features let networks learn high frequency functions in low dimen- sional domains

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.402292Z

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

Observation c8491044-9210-45d6-bfae-0d187649b94e · outbound

This paper cites State of the art on neural rendering.

VI3NR: Variance Informed Initialization for Implicit Neural Representations State of the art on neural rendering

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.384613Z

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

Observation 0a39f827-f2a6-44e2-83e5-e4d470a69a51 · outbound

This paper cites Geometry-consistent neural shape representation with im- plicit displacement fields.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Geometry-consistent neural shape representation with im- plicit displacement fields

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.368494Z

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

Observation 51153495-2817-4e25-8a19-0008440a7531 · outbound

This paper cites an unresolved cited work.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-16T06:03:59.352456Z

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Observation 597b9972-9fc4-4e51-8806-dad58d87c0ff · outbound

This paper cites an unresolved cited work.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-16T06:03:59.334916Z

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

Observation a2f3f0e3-f09a-4151-97c4-70753fb32a80 · outbound

This paper cites In their derivation they use sin π 2x in order to only consider the monotonic region of sine.

VI3NR: Variance Informed Initialization for Implicit Neural Representations In their derivation they use sin π 2x in order to only consider the monotonic region of sine

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.317471Z

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 a1a9fc12-8d35-4eab-a8ba-22afed1930bb · outbound

This paper cites an unresolved cited work.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-16T06:03:59.302176Z

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

Observation 3848a94a-cdda-4ea1-a58a-82773f8b5c79 · outbound

This paper cites We compare image reconstruction with Gaussian activation with the three different types of initializations in Fig.

VI3NR: Variance Informed Initialization for Implicit Neural Representations We compare image reconstruction with Gaussian activation with the three different types of initializations in Fig

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.285765Z

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

Observation f0478120-c104-41c4-9237-e247c7664a39 · outbound

This paper cites Specifically, the network ar- chitecture used three hidden layers, each containing 256 el- ements, and the bias terms were initialized identically to the weights.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Specifically, the network ar- chitecture used three hidden layers, each containing 256 el- ements, and the bias terms were initialized identically to the weights

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:03:59.268581Z

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 0ee743e2-309e-49a4-b204-42686e9e7ec3 · outbound

This paper cites an unresolved cited work.

VI3NR: Variance Informed Initialization for Implicit Neural Representations Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-16T06:03:59.249904Z

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

No inbound Pith citation observations are available.