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Paper Citation Record · LEDGER

Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2006.07169.

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

pith.paper-citation-record.v1
2006.07169 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:17:43.607908Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T18:50:50.743179Z

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 2e2d92a5-fb28-4829-86f6-555c2d54be8e · inbound

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

Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T17:58:34.121989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:58:34.121989Z digest=sha256:f2249399203da4dd74b6239ca32a2426ffa1aa3bfc34fc1daa31aadcfec66aac

Observation cd5436cd-d0ae-4e22-b024-603928d0eb60 · inbound

Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning cites this paper.

Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-08T18:50:50.748237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-08T18:50:49.769545Z digest=sha256:1cc21910c2c0e9c3b789badc18790b1c051bb15ff9e9e79e7e54a62aa3746cca

Observation 3001efbf-48e2-4450-a9d1-b387f053f172 · inbound

Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review cites this paper.

Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning

Reference 283

Resolution
unresolved
no resolver link, observed 2026-08-15T22:17:43.607908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:17:43.607908Z digest=sha256:1147e29312b9421e2b724596a6c72477536b9a3be018e63e8c8275bec34fad06