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Paper Citation Record · LEDGER

Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2003.10423.

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

pith.paper-citation-record.v1
2003.10423 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:53:35.216055Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:20:00.514617Z

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 88590da0-3924-4bbf-9834-b5d774642887 · inbound

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft cites this paper.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:35.216055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:35.216055Z digest=sha256:c986fe52a6321f3fdd2581a8fa6fb3f3ba72d38c53a13ef6bb28ff875c4a9e79

Observation de0306a9-18fa-44ec-9190-a1161288cbe3 · inbound

ASALT: Adaptive State Alignment for Lateral Transfer in Multi-agent Reinforcement Learning cites this paper.

ASALT: Adaptive State Alignment for Lateral Transfer in Multi-agent Reinforcement Learning Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:20:00.516203Z

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=pdf_text observed=2026-06-25T23:46:50.183064Z digest=sha256:a7d5e803b91f4a4b4b10c061c3603a6fad71ba69b8eef0147fd68902202c727b