Paper Citation Record · LEDGER

Inductive Graph Layout with Implicit Neural Fields

As of 18 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2608.08876.

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

pith.paper-citation-record.v1
2608.08876 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:28:50.637782Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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 exact2
verified fuzzy19
unresolved11
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 60a443f8-aef7-4fda-a4f4-cfe34ac56348 · outbound

This paper cites Graph drawing by force-directed placement.

Inductive Graph Layout with Implicit Neural Fields Graph drawing by force-directed placement

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:51.235109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1b1a8f84-1a05-47af-a3c7-73a037e13a63 · outbound

This paper cites Forceatlas2, a continuous graph layout algorithm for handy network visualization designed for the gephi software.PloS one, 9(6):e98679, 2014.

Inductive Graph Layout with Implicit Neural Fields Forceatlas2, a continuous graph layout algorithm for handy network visualization designed for the gephi software.PloS one, 9(6):e98679, 2014

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T04:28:50.519144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3febc77d-58d0-4913-ac9f-de4ea87f9d93 · outbound

This paper cites Graph drawing by stress majorization.

Inductive Graph Layout with Implicit Neural Fields Graph drawing by stress majorization

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:51.215458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8833c6c-9271-44f9-992c-62d4c180c660 · outbound

This paper cites A maxent-stress model for graph layout.

Inductive Graph Layout with Implicit Neural Fields A maxent-stress model for graph layout

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:51.204248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 14aa7810-0569-4f81-81df-7ac6eb0a70cc · outbound

This paper cites An algorithm for drawing general undirected graphs.

Inductive Graph Layout with Implicit Neural Fields An algorithm for drawing general undirected graphs

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:51.194518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a8887c7f-637d-4562-9a34-8b9e6cda244a · outbound

This paper cites Graph drawing by stochastic gradient descent.IEEE transactions on visualization and computer graphics, 25(9):2738–2748,.

Inductive Graph Layout with Implicit Neural Fields Graph drawing by stochastic gradient descent.IEEE transactions on visualization and computer graphics, 25(9):2738–2748,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:51.184831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c312824e-1765-4dd5-b919-de2b4f97297b · outbound

This paper cites Drawing large graphs by low-rank stress majorization.

Inductive Graph Layout with Implicit Neural Fields Drawing large graphs by low-rank stress majorization

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:51.174217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 386dacea-9830-461d-8edc-39d9608b5f43 · outbound

This paper cites A sparse stress model.

Inductive Graph Layout with Implicit Neural Fields A sparse stress model

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:51.163827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7803d4fa-a806-4e33-a389-98274fd91190 · outbound

This paper cites Accelerating network layouts using graph neural networks.Nat.

Inductive Graph Layout with Implicit Neural Fields Accelerating network layouts using graph neural networks.Nat

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T04:28:50.546842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 252c46f6-519f-483d-b4b3-c15e10dfc505 · outbound

This paper cites Deepgd: A deep learning framework for graph drawing using gnn.IEEE computer graphics and applications, 41(5):32–44, 2021.

Inductive Graph Layout with Implicit Neural Fields Deepgd: A deep learning framework for graph drawing using gnn.IEEE computer graphics and applications, 41(5):32–44, 2021

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:51.152370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 595fb930-81a2-41ca-96d3-10a1dcafb07b · outbound

This paper cites CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs.

Inductive Graph Layout with Implicit Neural Fields CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T04:28:50.554530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca47caab-0c96-401d-b4d2-47136aa66bdb · outbound

This paper cites Word2vecgd: Neural graph drawing with cosine-stress optimization.arXiv preprint arXiv:2509.17333, 2025.

Inductive Graph Layout with Implicit Neural Fields Word2vecgd: Neural graph drawing with cosine-stress optimization.arXiv preprint arXiv:2509.17333, 2025

Reference 12

Resolution: verified exact; raw_fallback, observed 2026-08-14T04:28:50.953901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d57a2b79-a3a4-493f-b15a-85be10103e9d · outbound

This paper cites Nnp-net: Accelerating t-sne graph drawing for large static and dynamic graphs by neural networks.IEEE Transactions on Visualization and Computer Graphics, 2026.

Inductive Graph Layout with Implicit Neural Fields Nnp-net: Accelerating t-sne graph drawing for large static and dynamic graphs by neural networks.IEEE Transactions on Visualization and Computer Graphics, 2026

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:51.140847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0a173ae6-9006-4ae9-bfc2-4b228af9008e · outbound

This paper cites Kruiger, Paulo Eduardo Rauber, Rafael Messias Martins, Andreas Kerren, Stephen G.

Inductive Graph Layout with Implicit Neural Fields Kruiger, Paulo Eduardo Rauber, Rafael Messias Martins, Andreas Kerren, Stephen G

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:51.129672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8f46bfff-eeda-4b75-8bc9-816753aed807 · outbound

This paper cites Multivariate Graph Layouts using NNP-NET.

Inductive Graph Layout with Implicit Neural Fields Multivariate Graph Layouts using NNP-NET

Reference 15

Resolution: malformed identifier; doi_truncated, observed 2026-08-14T04:28:50.689688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c37ca095-f542-4309-a658-dc7690aeac16 · outbound

This paper cites GNN-Based Inductive Dimensionality Reduction on UMAP Graphs.

Inductive Graph Layout with Implicit Neural Fields GNN-Based Inductive Dimensionality Reduction on UMAP Graphs

Reference 16

Resolution: verified exact; doi, observed 2026-08-14T04:28:50.677932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 47a611bc-9958-41c8-8bde-ad841b7e5e44 · outbound

This paper cites Visualizing large-scale and high- dimensional data.

Inductive Graph Layout with Implicit Neural Fields Visualizing large-scale and high- dimensional data

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T04:28:50.576888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e27836f2-61e5-4b72-a3d0-4cc92810cf23 · outbound

This paper cites Drgraph: An efficient graph layout algorithm for large-scale graphs by dimensionality reduction.IEEE Transactions on Visualization and Computer Graphics, 27:1666–1676, 2020.

Inductive Graph Layout with Implicit Neural Fields Drgraph: An efficient graph layout algorithm for large-scale graphs by dimensionality reduction.IEEE Transactions on Visualization and Computer Graphics, 27:1666–1676, 2020

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:51.118351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 665974d3-e41f-49fd-9838-8cdd8505c9c6 · outbound

This paper cites Impred: An improved force-directed algorithm that prevents nodes from crossing edges.Computer Graph- ics Forum, 30(3):1071–1080, 2011.

Inductive Graph Layout with Implicit Neural Fields Impred: An improved force-directed algorithm that prevents nodes from crossing edges.Computer Graph- ics Forum, 30(3):1071–1080, 2011

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T04:28:50.584180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b21c1cbf-e062-4e1e-8d5c-1d1430927477 · outbound

This paper cites Multicrite- ria scalable graph drawing via stochastic gradient descent, (sgd)2(sgd)2.IEEE Transactions on Visualization and Computer Graphics, 28(6):2388–2399, 2022.

Inductive Graph Layout with Implicit Neural Fields Multicrite- ria scalable graph drawing via stochastic gradient descent, (sgd)2(sgd)2.IEEE Transactions on Visualization and Computer Graphics, 28(6):2388–2399, 2022

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T04:28:50.588160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ddcd471-bcde-431a-ba12-f7c0681f3278 · outbound

This paper cites Scaling personalized web search.

Inductive Graph Layout with Implicit Neural Fields Scaling personalized web search

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:51.106136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f2464fbd-0781-4e7e-a3a4-0914e8a0afa0 · outbound

This paper cites an unresolved cited work.

Inductive Graph Layout with Implicit Neural Fields Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:28:51.093863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 79cde805-1d35-42ca-bb0b-f5f79a8c47dd · outbound

This paper cites Courville.

Inductive Graph Layout with Implicit Neural Fields Courville

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:51.081949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 707729af-636b-4a09-9820-fade73d41ea6 · outbound

This paper cites You only train once: Loss-conditional training of deep networks.

Inductive Graph Layout with Implicit Neural Fields You only train once: Loss-conditional training of deep networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:51.060473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6f43c3b6-7853-43c5-886a-207f81101126 · outbound

This paper cites Eigensolver methods for progressive multidimensional scaling of large data.

Inductive Graph Layout with Implicit Neural Fields Eigensolver methods for progressive multidimensional scaling of large data

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:51.049205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5c1bc1a0-a456-4c8a-b929-059d88d510bb · outbound

This paper cites Sparse multidimensional scaling using landmark points.

Inductive Graph Layout with Implicit Neural Fields Sparse multidimensional scaling using landmark points

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:51.025690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ad5dfd78-cbca-4bb9-aa2e-143f5dca930a · outbound

This paper cites Learning continuous image representation with local implicit image function.

Inductive Graph Layout with Implicit Neural Fields Learning continuous image representation with local implicit image function

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T04:28:50.625357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd553d42-70f2-4dd2-bd13-954aefba667b · outbound

This paper cites normalized stress.

Inductive Graph Layout with Implicit Neural Fields normalized stress

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:51.013970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 57099b3d-9b12-481b-bb69-db4a789c399d · outbound

This paper cites Purchase.

Inductive Graph Layout with Implicit Neural Fields Purchase

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:51.001429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 28386d07-97a3-474b-be9b-9b33379f7b97 · outbound

This paper cites table on M rows.

Inductive Graph Layout with Implicit Neural Fields table on M rows

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:50.977640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bdbdd79f-a24f-459c-9de8-93d52b2c48c1 · outbound

This paper cites an unresolved cited work.

Inductive Graph Layout with Implicit Neural Fields Unresolved cited work

Reference 2002

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:28:50.989828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7b21448c-1572-408f-8329-e9e13cf37139 · outbound

This paper cites an unresolved cited work.

Inductive Graph Layout with Implicit Neural Fields Unresolved cited work

Reference 2006

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:28:51.037516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ad0cbada-ea7f-41e8-884b-41dda94f93d8 · outbound

This paper cites an unresolved cited work.

Inductive Graph Layout with Implicit Neural Fields Unresolved cited work

Reference 2017

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:28:51.070583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.