Paper Citation Record · LEDGER

On the Power of Multitask Representation Learning in Linear MDP

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2106.08053.

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

pith.paper-citation-record.v1
2106.08053 v1

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 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:32:16.130092Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:46:05.259643Z

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 a80d550b-7804-4b87-a7ab-37bdeb6d35a5 · inbound

Deep Transfer $Q$-Learning for Offline Non-Stationary Reinforcement Learning cites this paper.

Deep Transfer $Q$-Learning for Offline Non-Stationary Reinforcement Learning On the Power of Multitask Representation Learning in Linear MDP

Reference 3364

Resolution: unresolved; no resolver link, observed 2026-08-10T21:32:16.130092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 662386d8-9299-4b4a-abb8-3cd756b6a977 · inbound

Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL cites this paper.

Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL On the Power of Multitask Representation Learning in Linear MDP

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T22:16:40.625859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59771bd7-7b8a-4a5b-ac46-dc50928b42af · inbound

Breaking the Computational Barrier: Provably Efficient Actor-Critic for Low-Rank MDPs cites this paper.

Breaking the Computational Barrier: Provably Efficient Actor-Critic for Low-Rank MDPs On the Power of Multitask Representation Learning in Linear MDP

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:46:05.266375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 39b910ba-84dc-4aab-9c3f-a9e7241a7ef8 · inbound

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models cites this paper.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models On the Power of Multitask Representation Learning in Linear MDP

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-01T04:59:35.816478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.