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Paper Citation Record · LEDGER

Towards Efficient Multi-Agent Learning Systems

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.13411.

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

pith.paper-citation-record.v1
2305.13411 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:21:18.187738Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:18:59.140845Z

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 96960d72-6f4a-417a-a91e-3bd094941dc7 · inbound

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training cites this paper.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Towards Efficient Multi-Agent Learning Systems

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T04:21:18.187738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:18.187738Z digest=sha256:50eb9824f5dc9755272488dcd4f26e535494680ac01ee0b7285adc2c4e73a998

Observation 0d5f1473-ec08-49cf-adb0-92ed47a6983b · inbound

SWIRL: A Staged Workflow for Interleaved Reinforcement Learning in Mobile GUI Control cites this paper.

SWIRL: A Staged Workflow for Interleaved Reinforcement Learning in Mobile GUI Control Towards Efficient Multi-Agent Learning Systems

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:18:59.149753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:18:51.963528Z digest=sha256:43fafe3eb5251f76fa0e38e5d0b1b6f118ef5ddae99e401fd7d5c573bf652897