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Paper Citation Record · LEDGER

Deep Reinforcement Learning amidst Lifelong Non-Stationarity

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2006.10701.

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

pith.paper-citation-record.v1
2006.10701 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:27:52.278872Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:24:00.750696Z

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 b260221f-5d19-4bd3-b952-616ea814b5e6 · inbound

Lipschitz Lifelong Monte Carlo Tree Search for Mastering Non-Stationary Tasks cites this paper.

Lipschitz Lifelong Monte Carlo Tree Search for Mastering Non-Stationary Tasks Deep Reinforcement Learning amidst Lifelong Non-Stationarity

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-09T18:23:05.676890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:23:05.676890Z digest=sha256:4e5bfb46646619a7cde32da93db4f1cf271d4f5929cf87abd9fa0a987ecadca0

Observation 0515c4b1-8aa9-45a5-b01f-ed3dfa9b3a12 · inbound

Efficient Sensorimotor Learning for Open-world Robot Manipulation cites this paper.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Deep Reinforcement Learning amidst Lifelong Non-Stationarity

Reference 267

Resolution
unresolved
no resolver link, observed 2026-08-15T23:27:52.278872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:27:52.278872Z digest=sha256:77aa9318b97f28da9a7560690811dade2a7e5ca50c00733dc3b4b18b6fa09e63

Observation fc371532-14b0-4a7d-9a2b-f27e32f4a652 · inbound

Growable and Interpretable Neural Control with Online Continual Learning for Autonomous Lifelong Locomotion Learning Machines cites this paper.

Growable and Interpretable Neural Control with Online Continual Learning for Autonomous Lifelong Locomotion Learning Machines Deep Reinforcement Learning amidst Lifelong Non-Stationarity

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-15T20:48:30.226805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:48:30.226805Z digest=sha256:5f8e039418a7df1ae4f590e9cf0128c2f1a13e560f0cabaa5faa5b97005ef3d0

Observation a1ce8d7b-493b-4560-9ac9-c449f949638d · inbound

From Cumulative Constraints to Adaptive Runtime Safety Control for Nonstationary Reinforcement Learning cites this paper.

From Cumulative Constraints to Adaptive Runtime Safety Control for Nonstationary Reinforcement Learning Deep Reinforcement Learning amidst Lifelong Non-Stationarity

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-20T21:49:05.151310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-20T21:48:43.143169Z digest=sha256:c6fa7d0b405cf57840c4d0b9dbb215ed4c397c7c2a77272455883132c3d7801d

Observation 4cf80a9f-744f-424b-afde-aa3e8fcdf6f7 · inbound

Safe Continual Reinforcement Learning under Nonstationarity via Adaptive Safety Constraints cites this paper.

Safe Continual Reinforcement Learning under Nonstationarity via Adaptive Safety Constraints Deep Reinforcement Learning amidst Lifelong Non-Stationarity

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-20T21:39:03.479091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-20T21:36:33.206033Z digest=sha256:2cb80315b8448f4e77962124a8e73e32beef8771ce27d740ce655e65946ba979

Observation e7db2a46-f525-48d8-bca3-e331132ea7e3 · inbound

Balancing Plasticity and Stability with Fast and Slow Successor Features cites this paper.

Balancing Plasticity and Stability with Fast and Slow Successor Features Deep Reinforcement Learning amidst Lifelong Non-Stationarity

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T22:24:00.752302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-29T22:16:25.136354Z digest=sha256:3efb40a501b7ec364805b2691b2a58f397de562cf3c2fa56e73ce7455a66ccd9

Observation 25312981-fea2-465f-a412-48d90caea4f6 · inbound

Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning cites this paper.

Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning Deep Reinforcement Learning amidst Lifelong Non-Stationarity

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T12:15:38.027202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:15:38.027202Z digest=sha256:5f24a4a79c6c05733b26daececa49c9f3b8cabc262491bde0f2f801807980b85