Paper Citation Record · LEDGER

Guided Deep Reinforcement Learning for Swarm Systems

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1709.06011.

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

pith.paper-citation-record.v1
1709.06011 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:51:19.836020Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:49:15.477884Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
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 dfb9fe9c-1913-460c-be29-2afc2c1eb481 · inbound

Augmenting the action space with conventions to improve multi-agent cooperation in Hanabi cites this paper.

Augmenting the action space with conventions to improve multi-agent cooperation in Hanabi Guided Deep Reinforcement Learning for Swarm Systems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T19:51:19.836020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 920462f9-38b6-4e5d-ac7a-2511318944c4 · inbound

Adaptive Episode Length Adjustment for Multi-agent Reinforcement Learning cites this paper.

Adaptive Episode Length Adjustment for Multi-agent Reinforcement Learning Guided Deep Reinforcement Learning for Swarm Systems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:35.804796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81c1f787-00f8-4f75-8fbe-f7641f6751a6 · inbound

VariAntNet: Learning Decentralized Control of Multi-Agent Systems cites this paper.

VariAntNet: Learning Decentralized Control of Multi-Agent Systems Guided Deep Reinforcement Learning for Swarm Systems

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-05T11:49:15.551262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a9e44757-77f9-45a9-9e5e-5379dd561b55 · inbound

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex cites this paper.

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex Guided Deep Reinforcement Learning for Swarm Systems

Reference 67

Resolution: unresolved; no resolver link, observed 2026-07-31T23:51:54.705473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.