Paper Citation Record · LEDGER

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations

As of 10 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 2 inbound Pith citation observations for arXiv:2602.19373.

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

pith.paper-citation-record.v1
2602.19373 v3

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:42:32.034576Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T04:49:19.953195Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T11:46:55.745180Z

Reference resolution

18 of 18 outbound references displayed

verified exact0
verified fuzzy0
unresolved17
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 07086e79-6838-4ae2-8c11-85ff70c16cfc · outbound

This paper cites an unresolved cited work.

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T21:42:31.559114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3a86e61-8a02-4070-bb48-43b1f79aef03 · outbound

This paper cites an unresolved cited work.

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T21:42:31.788942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c6f395f-201d-41a2-9b0b-ffdb1ef06cb6 · outbound

This paper cites an unresolved cited work.

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations Unresolved cited work

Reference 3

Resolution: malformed identifier; no resolver link, observed 2026-08-02T21:42:32.034576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78eace85-1b66-49d5-9c26-0bff6c0698ca · outbound

This paper cites Lefschetz, S.

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations Lefschetz, S

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T21:42:30.518537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ddbda78-8272-4091-b10c-d694a0757709 · outbound

This paper cites McLean, R., Chatzaroulas, E., McCutcheon, L., R¨oder, F., Yu, T., He, Z., Zentner, K., Julian, R., Terry, J.

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations McLean, R., Chatzaroulas, E., McCutcheon, L., R¨oder, F., Yu, T., He, Z., Zentner, K., Julian, R., Terry, J

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T21:42:30.664215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73a7ba57-fa2f-4fc0-8344-2fef0735ef00 · outbound

This paper cites Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents.

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T21:42:30.730941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a27929e4-c029-47d7-8d50-eaff230a2b04 · outbound

This paper cites FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control.

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T21:42:30.811298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e49dccdb-8a63-4182-a718-84020f512aa8 · outbound

This paper cites Sutton, R.

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations Sutton, R

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T21:42:30.822729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76b5fe4c-c236-4a9a-8254-96d0cf7fb860 · outbound

This paper cites Deep Reinforcement Learning and the Deadly Triad.

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations Deep Reinforcement Learning and the Deadly Triad

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T21:42:30.878432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47f43c5e-e5fb-434f-b0bc-ca39813d7bb1 · outbound

This paper cites Echchahed, A.

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations Echchahed, A

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T21:42:30.322732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d71db25c-788a-4d1d-a0a1-382f34a6ac7c · outbound

This paper cites Zhang, A., McAllister, R.

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations Zhang, A., McAllister, R

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T21:42:31.148137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c842821b-2861-48d5-9f64-c250932d3f9b · outbound

This paper cites Bellemare, M.

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations Bellemare, M

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-02T21:42:30.215645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b87501ee-4a6a-4e48-9954-54eef3ece83e · outbound

This paper cites an unresolved cited work.

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations Unresolved cited work

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-02T21:42:31.359690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a7ed82b-22fd-4dbf-8697-80951d297334 · outbound

This paper cites Lyle, C., Zheng, Z., Nikishin, E., Pires, B.

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations Lyle, C., Zheng, Z., Nikishin, E., Pires, B

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-02T21:42:30.592045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 194dbc96-d709-40f0-a54f-e8d2a50ccf51 · outbound

This paper cites Ceron, J.

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations Ceron, J

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-02T21:42:30.258775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77700554-43b4-4748-8ff1-8a94ced48efe · outbound

This paper cites Zang, H., Li, X., Zhang, L., Liu, Y ., Sun, B., Islam, R., des Combes, R.

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations Zang, H., Li, X., Zhang, L., Liu, Y ., Sun, B., Islam, R., des Combes, R

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T21:42:31.048870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81145edf-9c8f-4fdb-b245-a69fa66192cc · outbound

This paper cites Use the Online Network If You Can: Towards Fast and Stable Reinforcement Learning.

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations Use the Online Network If You Can: Towards Fast and Stable Reinforcement Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T21:42:30.436671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4efe07c1-cdda-4892-8737-b705e61649c0 · outbound

This paper cites Methods for computing state similarity in Markov Decision Processes.

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations Methods for computing state similarity in Markov Decision Processes

Reference 8856

Resolution: unresolved; no resolver link, observed 2026-08-02T21:42:30.384426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 4d23cbea-c50f-4992-ac6f-64e894ad2667 · inbound

Representation Learning Enables Scalable Multitask Deep Reinforcement Learning cites this paper.

Representation Learning Enables Scalable Multitask Deep Reinforcement Learning Stable Deep Reinforcement Learning via Isotropic Gaussian Representations

Reference 53

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T11:46:55.746390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4cbead87-8bb3-41a7-a33f-9af558c48ae3 · inbound

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models cites this paper.

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models Stable Deep Reinforcement Learning via Isotropic Gaussian Representations

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T04:49:19.953195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.