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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.

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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=sha256:8b22693b963587ff48e0e0a876895a462006f04da989e19fe19da3e8dbe39200

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.

source=pdf_text observed=2026-08-07T00:22:23.652134Z digest=sha256:8d5cb0dac0711b66fb19ba390ce69d86fdeddb46ec19b53ad47e0abb8942ad42

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=sha256:5ea5d086357c4ea4c76a21eafe9d7563ebeae047edd223c95eaabde888873e9a

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=sha256:8e11ef6d1346106d2d72ee0eabbf05edaed7903988b1f8259c83955bf4634e29

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=sha256:5b39a5d111519d2595ad5da1c5a15c891cd13c3aafe48dcdb5488674495b6b90

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=sha256:0c8475b4c8dcf494be361bf99b7244f1ed642faf2561032cb6df3fbc009fb813

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:ac99bebaca6641a8f2cdcea35d6580ff8d8ebf6e8e05c63eb5efbc39de8dbfc4

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:c8067180c1331b407da5ef3150b1b9a454c6d2aaef8a40b8839c30fa1ee3a0d0

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:df8f7f0a971e2e2301d5c7549721498be7d0f7e1ab0b3adb4bedff982a12fde0

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=sha256:0f912fe52b431ed767c33425aebd5e781b7800ffbcf78de8682942d08707529a

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=sha256:8febf0fd9137b2d04e313a1736badf18f6a963e838008cbc1417b38f8593da5e

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=sha256:7cebb4271fd92255a13166a5f8700318f29785d95d2118bdf2f3aa28d225c227

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:d554ab1861d5397d17a34b6d40d00a488f755d0eeb01dd2211378464ab1e05eb

Pith citing papers

No inbound Pith citation observations are available.