Paper Citation Record · LEDGER

Plannable Approximations to MDP Homomorphisms: Equivariance under Actions

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2002.11963.

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

pith.paper-citation-record.v1
2002.11963 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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:33:43.818088Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T07:01:00.699729Z

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 c63a3bf5-1bad-4978-8eba-ce05176f4532 · inbound

Causal Information Prioritization for Efficient Reinforcement Learning cites this paper.

Causal Information Prioritization for Efficient Reinforcement Learning Plannable Approximations to MDP Homomorphisms: Equivariance under Actions

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T19:33:43.818088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e21d576-90cf-466f-965b-7036f8dde1f2 · inbound

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game cites this paper.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Plannable Approximations to MDP Homomorphisms: Equivariance under Actions

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:42.026878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1863e4a-5ea5-45cd-935c-f9893becef74 · inbound

Understanding Behavioral Metric Learning: A Large-Scale Study on Distracting Reinforcement Learning Environments cites this paper.

Understanding Behavioral Metric Learning: A Large-Scale Study on Distracting Reinforcement Learning Environments Plannable Approximations to MDP Homomorphisms: Equivariance under Actions

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:07.966060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5ed5e5e-5733-45ab-881d-e57c26dfc508 · inbound

Advantage-Guided Diffusion for Model-Based Reinforcement Learning cites this paper.

Advantage-Guided Diffusion for Model-Based Reinforcement Learning Plannable Approximations to MDP Homomorphisms: Equivariance under Actions

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:01:00.707061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.