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Paper Citation Record · LEDGER

Multiagent Cooperation and Competition with Deep Reinforcement Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1511.08779.

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

pith.paper-citation-record.v1
1511.08779 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:10:41.979208Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T12:05:44.030511Z

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 a2bf5d77-2fc3-46d0-b713-14ae3edb74ab · inbound

Multi-Agent Reinforcement Learning in Cybersecurity: From Fundamentals to Applications cites this paper.

Multi-Agent Reinforcement Learning in Cybersecurity: From Fundamentals to Applications Multiagent Cooperation and Competition with Deep Reinforcement Learning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T14:10:41.979208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:10:41.979208Z digest=sha256:bf67bbf329dfc420c809b88bd678f7f39360681cae4b52f4d278309e3588b6d9

Observation ee1bed61-24cd-4234-99f6-2bb73abec748 · inbound

Distributed Hierarchical Temporal Memory with Shared Associative Memory for Cross-Entity Preemptive Warning cites this paper.

Distributed Hierarchical Temporal Memory with Shared Associative Memory for Cross-Entity Preemptive Warning Multiagent Cooperation and Competition with Deep Reinforcement Learning

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-07-01T12:05:44.031744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T02:27:07.466865Z digest=sha256:ee0ce076640372aec0b9e6b296477222b574467a94d2c8ef0a4b02c843d29fc0