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Paper Citation Record · LEDGER

Reset-Free Lifelong Learning with Skill-Space Planning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2012.03548.

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

pith.paper-citation-record.v1
2012.03548 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:23:05.682169Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:58:02.717217Z

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 1ad50923-cecc-4707-8e1f-094ff9c785c0 · inbound

Decision Transformer: Reinforcement Learning via Sequence Modeling cites this paper.

Decision Transformer: Reinforcement Learning via Sequence Modeling Reset-Free Lifelong Learning with Skill-Space Planning

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-18T15:11:11.338972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T15:11:11.056013Z digest=sha256:5466a0d228ec05f69ae82aaad0ae524b82c5f86fb4c22708e2f7fa0f8ee96565

Observation 5b4d6e31-635b-4ef4-ac79-a40e374d28dc · 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 Reset-Free Lifelong Learning with Skill-Space Planning

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-09T18:23:05.682169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:23:05.682169Z digest=sha256:6ebf2c8a9aaa7a40e982d874ab6e9c8de3cd06b74ab83d3275e54539ecf48b58

Observation d586cc1d-2493-481c-8325-29f6209e9b9d · inbound

Advancements and Challenges in Continual Reinforcement Learning: A Comprehensive Review cites this paper.

Advancements and Challenges in Continual Reinforcement Learning: A Comprehensive Review Reset-Free Lifelong Learning with Skill-Space Planning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T22:18:41.072809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:18:41.072809Z digest=sha256:ec6d259d5aec2dbd1f53315797bc59318ef32d062c3d1978bbe2155061eaf8b5

Observation 3eeb09b0-626d-48ad-ae0f-a52aac99f4ae · inbound

Learning to Theorize the World from Observation cites this paper.

Learning to Theorize the World from Observation Reset-Free Lifelong Learning with Skill-Space Planning

Reference 79

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T23:21:33.989380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-07T17:15:43.429602Z digest=sha256:3980ee696a33a706780f14eca579addf883da8516a7f203678dc605b821824fe

Observation cb22014b-af2d-4a48-90ca-3d744157b236 · inbound

UniIntervene: Agentic Intervention for Efficient Real-World Reinforcement Learning cites this paper.

UniIntervene: Agentic Intervention for Efficient Real-World Reinforcement Learning Reset-Free Lifelong Learning with Skill-Space Planning

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:58:02.718679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T09:46:59.746745Z digest=sha256:efb48c3d48772295f9f923836a31df4c7c75c9996aa2c9810157a9adc0ca9fb3

Observation dc2a29bf-1b74-432c-84ed-ab8b44e3bdc0 · inbound

Reinforcement Learning: From Algorithms To Foundation Models cites this paper.

Reinforcement Learning: From Algorithms To Foundation Models Reset-Free Lifelong Learning with Skill-Space Planning

Reference 154

Resolution
unresolved
no resolver link, observed 2026-08-01T17:45:12.168247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:45:12.168247Z digest=sha256:518ef86d6f0eb5c919c24d25e3ae56f9f9beef46d1f54a3218f5e954320ee0a5