Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Order Matters: Agent-by-agent Policy Optimization
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.06205.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T18:50:49.915082Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T15:18:58.163791Z
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 afd257ff-eef9-42ae-935a-30db4eb535cb · inbound
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning cites this paper.
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning Order Matters: Agent-by-agent Policy Optimization
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:50:49.915082Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a20d0ba8-6acd-4400-9c7d-6cf0bcdc0e3f · inbound
Multi-Agent Trust Region Policy Optimisation: A Joint Constraint Approach cites this paper.
Multi-Agent Trust Region Policy Optimisation: A Joint Constraint Approach Order Matters: Agent-by-agent Policy Optimization
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:31:03.774416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4aa2014-ce7f-4a6d-bfa6-8d1e0746810c · 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 Order Matters: Agent-by-agent Policy Optimization
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T15:18:58.169804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.