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Paper Citation Record · LEDGER

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution

As of 19 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2506.14529.

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

pith.paper-citation-record.v1
2506.14529 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:22:24.507701Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

14 of 14 outbound references displayed

  • verified exact1
  • verified fuzzy13
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 36ed650a-cfdb-4a7a-aad8-e084fa7e7e24 · outbound

This paper cites Neural message passing for quantum chemistry.

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution Neural message passing for quantum chemistry

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:22:28.864758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:22:22.464785Z digest=sha256:34c048bc0018689d0a2cfb7c59608323954c56be765ae1d846cfa35ffb9988db

Observation 43312c1c-c010-48d1-9c94-22715118f3ff · outbound

This paper cites Lightgcn: Simplifying and powering graph convolution network for recommendation.

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution Lightgcn: Simplifying and powering graph convolution network for recommendation

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:22:28.291104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:22:22.834839Z digest=sha256:bfce61e62d3b65cf5ba4d17c27dc4a7510bcfc433495a109baff6c2cd3fbf0ff

Observation d77b9c78-9d0a-445d-9373-48320e486c2b · outbound

This paper cites Designing the topology of graph neural networks: A novel feature fusion perspective.

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution Designing the topology of graph neural networks: A novel feature fusion perspective

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:22:27.272574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c3834674-18cc-406e-b090-7e6494de1ee0 · outbound

This paper cites Search to capture long-range depen- dency with stacking gnns for graph classification.

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution Search to capture long-range depen- dency with stacking gnns for graph classification

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:22:26.944884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:22:23.844752Z digest=sha256:644c26f4bd2392871496ddee240ccb51a7ea6a995196007adf288f1b507a3858

Observation 42c41173-bff1-4add-8b93-8e979fd4c79e · outbound

This paper cites Hierarchical graph representation learning with differen- tiable pooling.

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution Hierarchical graph representation learning with differen- tiable pooling

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:22:26.364186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:22:24.074752Z digest=sha256:623c21c813d3aadefe4f02721a83fe2a529b1ed18b565b2a440131b768ac38ff

Observation bc6d46d0-a205-4654-a417-f493c4cde044 · outbound

This paper cites An end-to-end deep learning architecture for graph classification.

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution An end-to-end deep learning architecture for graph classification

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:22:25.805776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:22:24.264766Z digest=sha256:8bc5b431712a08d6afa20382ec8a3a1967c0d560440134bfb63a27f5f519bd2c

Observation 4406ac0d-f6ce-4987-b381-b2c74f3971dd · outbound

This paper cites Search to aggregate neighborhood for graph neural network.

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution Search to aggregate neighborhood for graph neural network

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:22:25.398757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:22:24.507701Z digest=sha256:166485919880fecec3d7e48fc34caf541815197a26a9f0486e24ba460eac0e45

Observation 6c6cf709-7996-44b9-a860-df3a3bf0fd00 · outbound

This paper cites Semi-supervised classification with graph convolutional networks.

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution Semi-supervised classification with graph convolutional networks

Reference 1995

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:22:27.825464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:22:23.169639Z digest=sha256:f82462f426190dbf13d0737f49806c25385116e56dae086e8ccf8350d116bce5

Observation 67aa19fc-6365-459e-9608-cd6c019f32f3 · outbound

This paper cites Revisiting heterophily for graph neural networks.

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution Revisiting heterophily for graph neural networks

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:22:27.564733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:22:23.252175Z digest=sha256:ffcb7da8fdb8cf56f1253eb9bb1d07f9270333d4fefab4de84f5f6b7c3c1515a

Observation b42dc069-79ba-4fbb-a850-1d3b8a0605d6 · outbound

This paper cites Inductive representation learning on large graphs.

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution Inductive representation learning on large graphs

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:22:28.557622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:22:22.645461Z digest=sha256:978ee058ccb5374dd163fbf7e274c61e1078ba4edf781097f3b930f4efa9d408

Observation 617ce3be-15d6-464e-94d9-93ea025c16e9 · outbound

This paper cites Link prediction based on graph neural networks.Advances in neural information processing systems , 31,.

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution Link prediction based on graph neural networks.Advances in neural information processing systems , 31,

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:22:26.130264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:22:24.166007Z digest=sha256:638b84eeaac61ca2a85af05edf73cfc7e3bec66c9ea2db50808f36dec556eec2

Observation d08937fa-0b1f-4705-901d-fc5cbcc9c312 · outbound

This paper cites Eliciting knowledge from experts: A methodological analysis.

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution Eliciting knowledge from experts: A methodological analysis

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:22:28.064750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:22:22.985978Z digest=sha256:96859f1380a5f5c9af0f62d788f45a8fd299961642204ca6d0423ed9c3640137

Observation 0d86167c-b620-4126-ab64-1911a0b8e39a · outbound

This paper cites Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions.

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions

Reference 2022

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:22:24.974155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:22:23.476852Z digest=sha256:b53132dbff91d97ecc53b10823c0193b1421e0b794f24dce8c995e8dba39b68b

Observation 71587b75-4c13-451a-8837-cc3bee397c5d · outbound

This paper cites A comprehensive survey on graph neural networks.

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution A comprehensive survey on graph neural networks

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:22:26.629407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:22:24.005690Z digest=sha256:8473b25fe5d83176b5cd841149655bdf5e4102662d92eb207bcd49aa362a0b38

Pith citing papers

No inbound Pith citation observations are available.