Paper Citation Record · LEDGER

Multi-Task Reinforcement Learning with Context-based Representations

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2102.06177.

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

pith.paper-citation-record.v1
2102.06177 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:17:01.996960Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T23:52:13.319364Z

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 08d4577b-842d-4340-9db9-09a76fa86770 · inbound

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents cites this paper.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Multi-Task Reinforcement Learning with Context-based Representations

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T21:17:01.996960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6121c5e-f79c-4936-a199-f7e8dc059332 · inbound

A Survey of State Representation Learning for Deep Reinforcement Learning cites this paper.

A Survey of State Representation Learning for Deep Reinforcement Learning Multi-Task Reinforcement Learning with Context-based Representations

Reference 116

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:42.379983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2028d5c6-3414-4068-8260-d7d870f40197 · inbound

Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning cites this paper.

Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning Multi-Task Reinforcement Learning with Context-based Representations

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:52:13.321743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a0fd91d9-b1db-492b-a8aa-fbaaa79d17ec · inbound

Contextual Multi-Task Reinforcement Learning for Autonomous Reef Monitoring cites this paper.

Contextual Multi-Task Reinforcement Learning for Autonomous Reef Monitoring Multi-Task Reinforcement Learning with Context-based Representations

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:01:04.394829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e3435608-980d-43c6-b819-2d9d079ba565 · inbound

Contextual Multi-Task Reinforcement Learning for Autonomous Reef Monitoring cites this paper.

Contextual Multi-Task Reinforcement Learning for Autonomous Reef Monitoring Multi-Task Reinforcement Learning with Context-based Representations

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-12T21:15:13.179473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a693287-e97a-4dad-882e-bf9c7af5c7fc · 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 Context-based Representations

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:52:05.694445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.