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Paper Citation Record · LEDGER

PaCo: Parameter-Compositional Multi-Task Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.11653.

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

pith.paper-citation-record.v1
2210.11653 v1

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:03:29.790459Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T01:52:05.723252Z

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 73c4d6a4-1bee-416e-a3ef-9a44468a2bb7 · inbound

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks cites this paper.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks PaCo: Parameter-Compositional Multi-Task Reinforcement Learning

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T11:03:29.790459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:03:29.790459Z digest=sha256:0a9081e6456bf4b55d0fa5550dafc3d0fa5f015d2d487be33fab6c4b7f9e2de6

Observation 16ee8d26-b5c0-4ef4-85ba-47955f9aef49 · inbound

TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing cites this paper.

TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing PaCo: Parameter-Compositional Multi-Task Reinforcement Learning

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:52:05.726249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T01:48:13.679862Z digest=sha256:dede8aa570702793e481d4e8885a910fe1fc9aca8eee502619be0cb4f9950959