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Paper Citation Record · LEDGER

Multi-Task Reinforcement Learning with Soft Modularization

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2003.13661.

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

pith.paper-citation-record.v1
2003.13661 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:03:31.215734Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T01:52:05.659610Z

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 b81ebc2e-3859-43b7-8cf5-1912b4c15131 · inbound

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

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Multi-Task Reinforcement Learning with Soft Modularization

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-06T11:03:31.215734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:03:31.215734Z digest=sha256:e40e92d23c9281d40fc72bf29d6f9dd6e21733cb2708d5214ed18debfa799f5a

Observation f75bc440-213a-4fdb-978a-2d4c79c9cf72 · 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 Multi-Task Reinforcement Learning with Soft Modularization

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:52:05.662675Z

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:e072b89d1f27190eb523610f6ee216bde6fc889f02d2f238c5de0107096f43d8