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Paper Citation Record · LEDGER

Graph Convolutional Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1810.09202.

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

pith.paper-citation-record.v1
1810.09202 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:05:09.547643Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T16:35:50.563577Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d00dd392-b865-465f-8bed-cb6fda893b1f · inbound

General Autonomous Cybersecurity Defense: Learning Robust Policies for Dynamic Topologies and Diverse Attackers cites this paper.

General Autonomous Cybersecurity Defense: Learning Robust Policies for Dynamic Topologies and Diverse Attackers Graph Convolutional Reinforcement Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T22:05:09.547643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:05:09.547643Z digest=sha256:9dd78cfb60457413f8abe90da504539877a0ef1277fbcf349c464c4a02a16e10

Observation 12ae6d12-1e4c-4320-b61e-8df57f7649a4 · inbound

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review cites this paper.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Graph Convolutional Reinforcement Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T17:42:51.769161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:42:51.769161Z digest=sha256:e3ac4523a7909e4669383d1f27f93d1070fccb0a616cd41acdb6b39cc9dfe9bf

Observation 77e5204f-182a-4342-b8a1-b0c335c8ae20 · inbound

Graph World Model cites this paper.

Graph World Model Graph Convolutional Reinforcement Learning

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-06T17:37:11.682878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:37:11.682878Z digest=sha256:68daacee65aaa59e47d3b5eff4ee30f40ad4b248532d5e750f0fbec3e7a49bb1

Observation b92bd11e-7945-4a23-8825-7a38c4ffa673 · inbound

TrajAware: Graph Cross-Attention and Trajectory-Aware for Generalisable VANETs under Partial Observations cites this paper.

TrajAware: Graph Cross-Attention and Trajectory-Aware for Generalisable VANETs under Partial Observations Graph Convolutional Reinforcement Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T23:23:13.352117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:23:13.352117Z digest=sha256:e3fb8a54c602475fa84811876192d9242233e43d5aebf5bd4ab67fc9c74496a5

Observation 56a53bd8-749d-4a5e-8064-f920dbb2b455 · inbound

Micro-Swarm Locomotion Optimization in Dynamic Flow using Multi-Objective Multi-Agent Reinforcement Learning cites this paper.

Micro-Swarm Locomotion Optimization in Dynamic Flow using Multi-Objective Multi-Agent Reinforcement Learning Graph Convolutional Reinforcement Learning

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-01T16:35:50.564978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T00:30:56.136600Z digest=sha256:7edbc52112f302824a06be273c426635ae8714150977ef1843b35d52e938e2bb

Observation d20c24f3-d20e-4b6b-9ca1-69e3b077a663 · inbound

Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids cites this paper.

Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids Graph Convolutional Reinforcement Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-11T05:54:35.189048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T05:54:35.189048Z digest=sha256:0dc7b81cc8cb5b5b9009a42a228c3507143832297cf105fa4dce1ede7acbc0f3

Observation e793fb3b-3e2f-48e0-a736-fb0c57d42a05 · inbound

Feedback Attribution and Representation Geometry: Metrics for Comparing Individual and Shared Rewards in MARL cites this paper.

Feedback Attribution and Representation Geometry: Metrics for Comparing Individual and Shared Rewards in MARL Graph Convolutional Reinforcement Learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T20:47:24.264585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:47:24.264585Z digest=sha256:b4e1a4f3985afca7ccf6f7d972133b29e1bdcbfbfacda9847d0c46af20f5bd32