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Paper Citation Record · LEDGER

Deep Multiagent Reinforcement Learning: Challenges and Directions

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.15691.

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

pith.paper-citation-record.v1
2106.15691 v2

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:58:36.302690Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T14:08:51.069399Z

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 2ba285aa-575b-48f1-a407-480b85357882 · inbound

Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning cites this paper.

Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning Deep Multiagent Reinforcement Learning: Challenges and Directions

Reference 140

Resolution
unresolved
no resolver link, observed 2026-08-09T17:58:36.302690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:58:36.302690Z digest=sha256:ad26f81d912b7afc394ad458fb8b7f48e9ba9830a2fdc2903bf67162309e6746

Observation 035d10c6-658c-455e-a4a6-e069fcc93ad4 · inbound

CoComposer: LLM Multi-agent Collaborative Music Composition cites this paper.

CoComposer: LLM Multi-agent Collaborative Music Composition Deep Multiagent Reinforcement Learning: Challenges and Directions

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:08:51.173929Z

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.

source=arxiv_source observed=2026-08-05T14:08:50.369545Z digest=sha256:79a95338af212418e460048e65a7785942905da9767788263008d6c7778b7564