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Paper Citation Record · LEDGER

Order Matters: Agent-by-agent Policy Optimization

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2302.06205.

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

pith.paper-citation-record.v1
2302.06205 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:59:50.682482Z

measured 0 of 1 external citation measurements

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.

source=arxiv_source observed=2026-08-08T18:50:49.915082Z digest=sha256:dc6b906d5b8a1ddbc2b5b10dbae55cb15bdab6de5ff27d4ca7509498db543d72

Observation 0cf2474d-2b95-47c3-8f6f-317b9b3cd0e1 · inbound

Offline Multi-agent Reinforcement Learning via Sequential Score Decomposition cites this paper.

Offline Multi-agent Reinforcement Learning via Sequential Score Decomposition Order Matters: Agent-by-agent Policy Optimization

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T22:59:50.682482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:59:50.682482Z digest=sha256:42044c57dae4ac4235135b9d5f07b0a50c6b6afed4b363f0d7b185cf49e03f04

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.

source=arxiv_source observed=2026-08-05T20:31:03.774416Z digest=sha256:fe2957527f4dd823f74056f175007c12a0cac005637f12bb84785529dd99b580

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T15:18:57.147045Z digest=sha256:722fd5a3f611050cba082d4821d3cd3360b6083d7fdffcb482ae90a0a0900968