Paper Citation Record · LEDGER

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks

As of 15 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2501.06937.

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

pith.paper-citation-record.v1
2501.06937 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:56:51.152652Z

measured 31 of 31 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

31 of 31 outbound references displayed

verified exact1
verified fuzzy3
unresolved26
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation be150886-de80-4762-a6a8-42644b6bad6c · outbound

This paper cites an unresolved cited work.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:56:51.596693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 93c12656-9030-4f74-8e1f-8cba2be7ec58 · outbound

This paper cites G., Naddaf, Y., Veness, J., and Bowling, M.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks G., Naddaf, Y., Veness, J., and Bowling, M

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:56:51.587835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d14898ed-0568-4795-a409-d931006dbf8c · outbound

This paper cites OpenAI Gym.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks OpenAI Gym

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:51.050601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbe57015-1b5f-430c-b418-b5b2bd07c762 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:56:51.579136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d2fb5b3c-811c-4c25-bd61-bc90e63e0b63 · outbound

This paper cites Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:51.059025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4da91d0c-c520-49ec-9ea2-c098833d9a8e · outbound

This paper cites an unresolved cited work.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:51.062911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e803cdbb-79e9-457f-8208-ec2546712ee9 · outbound

This paper cites and Petrik, M.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks and Petrik, M

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:56:51.564149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cbebf486-942b-40e4-9eb7-2f4cadf725a9 · outbound

This paper cites Soft Actor-Critic Algorithms and Applications.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Soft Actor-Critic Algorithms and Applications

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:51.070550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3577ed12-96a2-4ede-afe8-fbe2a3f4b295 · outbound

This paper cites RVI-SAC: Average Reward Off-Policy Deep Reinforcement Learning.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks RVI-SAC: Average Reward Off-Policy Deep Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:51.074552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c5ea7ba-f326-4ded-8cca-75798e2af797 · outbound

This paper cites Continuous control with deep reinforcement learning.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Continuous control with deep reinforcement learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:51.078679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bc6b9d6-5972-481e-acdd-4019b2ad8d9a · outbound

This paper cites Average-Reward Reinforcement Learning with Trust Region Methods.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Average-Reward Reinforcement Learning with Trust Region Methods

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:51.082564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 835823a5-df91-487b-a6f5-ab970128cb0b · outbound

This paper cites A., Veness, J., Bellemare, M.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks A., Veness, J., Bellemare, M

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:51.087603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f9ef73d-43e4-433f-be92-dde05275b5d1 · outbound

This paper cites Reward Centering.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Reward Centering

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:51.090784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9822b3bd-4d1c-4ac9-84f5-6723d589abaa · outbound

This paper cites Jelly Bean World: A Testbed for Never-Ending Learning.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Jelly Bean World: A Testbed for Never-Ending Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:51.094911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3a91d80-5572-4fc1-a42c-e842cb5e85ba · outbound

This paper cites an unresolved cited work.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:56:51.549244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b351cda6-3d10-4448-9656-c9523f29e2ad · outbound

This paper cites an unresolved cited work.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:56:51.538881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 519c400b-9380-42fe-89b6-375b81f9ba7a · outbound

This paper cites Proximal Policy Optimization Algorithms.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Proximal Policy Optimization Algorithms

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:51.104986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f765d528-5c76-4c55-892f-ea08522312a1 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:56:51.528853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7d38b37d-f827-444a-9ddb-b1a33c365145 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:56:51.518642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fb175955-ecca-48b7-8b67-7ef70bbd0fc0 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:51.114743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a58ef605-33d2-43b5-97bb-51781700d1d0 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:51.117972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fcd1410-718a-4941-88da-70582473c74f · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:51.121085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32099d3d-34fd-4afb-9ad3-424c62f33400 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:56:51.498595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c768aa35-d9c8-4e8c-b19c-23112d861c4f · outbound

This paper cites and Ross, K.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks and Ross, K

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:56:51.488242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 05517a7e-0d4f-4860-88f3-f56349d0ec11 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:56:51.477254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3c0fb13f-2a7f-4cd3-ae6c-34f461c50e48 · outbound

This paper cites The Ingredients of Real-World Robotic Reinforcement Learning.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks The Ingredients of Real-World Robotic Reinforcement Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:51.133757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47f1ddd2-023b-4c39-8c16-9f6ae5e4777a · outbound

This paper cites Pearl: A Production-ready Reinforcement Learning Agent.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Pearl: A Production-ready Reinforcement Learning Agent

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:56:51.352949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e88cee22-f087-413d-a8ff-26293f0d462b · outbound

This paper cites write newline.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks write newline

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:51.141171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 432d02ac-23d8-4d74-b0e4-b4f2566d4be1 · outbound

This paper cites @esa (Ref.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks @esa (Ref

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:51.145296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c86f820-0284-474a-ba05-541e0913f5ac · outbound

This paper cites an unresolved cited work.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:51.149172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 152e618d-2879-4b74-bba0-39abe64e30a6 · outbound

This paper cites yF࡞g5. t]k e_kx kϣ], [#>3,>Mj <3oseӡ؎O޲ 7v 10 ΓZ Snc ay xط<Xت֬2/̡ Z̄峖G?Y[x=S c _ZSFX3#v)7n֎a | t 6IͰ|q֎Ğb /eev .Jj 6 4^ D[OVY L |axj ?#+#ڱ 44 . T c 7 W O &# O` !ң ծ [bY ncMj .0^?.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks yF࡞g5. t]k e_kx kϣ], [#>3,>Mj <3oseӡ؎O޲ 7v 10 ΓZ Snc ay xط<Xت֬2/̡ Z̄峖G?Y[x=S c _ZSFX3#v)7n֎a | t 6IͰ|q֎Ğb /eev .Jj 6 4^ D[OVY L |axj ?#+#ڱ 44 . T c 7 W O &# O` !ң ծ [bY ncMj .0^?

Reference 31

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T20:56:51.337592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.