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Paper Citation Record · LEDGER

Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2002.10525.

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

pith.paper-citation-record.v1
2002.10525 v1

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 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:03:09.254548Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T21:03:10.267990Z

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 085b8546-bd2d-4549-95a2-999d68ea59e5 · inbound

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning cites this paper.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-04T21:03:10.331009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-08-04T21:03:09.254548Z digest=sha256:c4884c27e321861da51dcb98f52e78dccf4908700aa0371f3e2bdda02e19adb2