Paper Citation Record · LEDGER

Unraveling the Hidden Dynamical Structure in Recurrent Neural Policies

As of 15 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2602.01196.

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

pith.paper-citation-record.v1
2602.01196 v2

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:50:06.167056Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

10 of 10 outbound references displayed

verified exact0
verified fuzzy0
unresolved9
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b1390a52-77aa-4089-a64b-b01cb5e9cfc4 · outbound

This paper cites an unresolved cited work.

Unraveling the Hidden Dynamical Structure in Recurrent Neural Policies Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T05:50:05.522646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c660e1df-1414-4b67-b159-da49356ddd9f · outbound

This paper cites Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables.

Unraveling the Hidden Dynamical Structure in Recurrent Neural Policies Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T05:50:05.277520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb4235ce-098b-464c-8dfc-254c44323a84 · outbound

This paper cites Due to the contractive nature of the trained network, most trajectories will collapse onto stable manifolds.

Unraveling the Hidden Dynamical Structure in Recurrent Neural Policies Due to the contractive nature of the trained network, most trajectories will collapse onto stable manifolds

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T05:50:05.930553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b793cbde-f541-4db3-a5ae-580ecef2b1c4 · outbound

This paper cites To address concerns regarding high-dimensional closure, we explicitly measure theClosure Error δ=∥h T −h 0∥2.

Unraveling the Hidden Dynamical Structure in Recurrent Neural Policies To address concerns regarding high-dimensional closure, we explicitly measure theClosure Error δ=∥h T −h 0∥2

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T05:50:06.043865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04ca470c-b0c4-4b00-8ff2-5c301522e217 · outbound

This paper cites Definition D.3(Dissipative Policy Dynamics (Restricted)).Let ht ∈R n be the policy memory state evolving according to ht+1 =f θ(ut, ht).

Unraveling the Hidden Dynamical Structure in Recurrent Neural Policies Definition D.3(Dissipative Policy Dynamics (Restricted)).Let ht ∈R n be the policy memory state evolving according to ht+1 =f θ(ut, ht)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T05:50:05.587653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 311bfe3f-c3c7-4991-8361-89cc305c0ed6 · outbound

This paper cites an unresolved cited work.

Unraveling the Hidden Dynamical Structure in Recurrent Neural Policies Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T05:50:05.694321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 929d2c5c-acc3-4222-b985-89909f7c4963 · outbound

This paper cites an unresolved cited work.

Unraveling the Hidden Dynamical Structure in Recurrent Neural Policies Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T05:50:05.811656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 595d91a4-a18f-4b7d-bad8-294d4246ae03 · outbound

This paper cites radiance field.

Unraveling the Hidden Dynamical Structure in Recurrent Neural Policies radiance field

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T05:50:06.167056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 657b47b2-dc24-45b0-89a4-4703e9fe7840 · outbound

This paper cites RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning.

Unraveling the Hidden Dynamical Structure in Recurrent Neural Policies RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-03T05:50:05.182751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c9611c1-0945-4174-a4da-d8a22fda16cf · outbound

This paper cites Human-Timescale Adaptation in an Open-Ended Task Space.

Unraveling the Hidden Dynamical Structure in Recurrent Neural Policies Human-Timescale Adaptation in an Open-Ended Task Space

Reference 3328

Resolution: malformed identifier; no resolver link, observed 2026-08-03T05:50:05.398571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.