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Paper Citation Record · LEDGER

Multi-agent cooperation through learning-aware policy gradients

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.18636.

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

pith.paper-citation-record.v1
2410.18636 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:57:39.665521Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:57:40.460711Z

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 5778cf27-9108-4fa6-9e27-766e4d1956f5 · inbound

The challenge of hidden gifts in multi-agent reinforcement learning cites this paper.

The challenge of hidden gifts in multi-agent reinforcement learning Multi-agent cooperation through learning-aware policy gradients

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:57:40.513690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:57:39.665521Z digest=sha256:1cbf248402656eef6ff8a9a6d4d3481b05e306bc54a0a0be6171396bb5f87923

Observation 4f750b8b-a88d-4ee0-9d41-c4c42fc08787 · inbound

Effective Strategies for Asynchronous Software Engineering Agents cites this paper.

Effective Strategies for Asynchronous Software Engineering Agents Multi-agent cooperation through learning-aware policy gradients

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-13T20:49:09.477849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T20:49:09.477849Z digest=sha256:b3463a132062361dee72856f15494ad1c25142c73f986c597ce473555573d633