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Paper Citation Record · LEDGER

Learning to Share in Multi-Agent Reinforcement Learning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2112.08702.

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

pith.paper-citation-record.v1
2112.08702 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:19:32.329928Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T14:19:32.637494Z

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 7ef714b3-833e-4d12-8dd8-e7a2493b65f4 · inbound

Achieving Collective Welfare in Multi-Agent Reinforcement Learning via Suggestion Sharing cites this paper.

Achieving Collective Welfare in Multi-Agent Reinforcement Learning via Suggestion Sharing Learning to Share in Multi-Agent Reinforcement Learning

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:19:32.642168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T14:19:32.329928Z digest=sha256:866494e71e890a52659fdadea41a4bff31abc3a5a5e19f7ee0ea21f4bf2ae03b