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Paper Citation Record · LEDGER

Lipschitz Lifelong Monte Carlo Tree Search for Mastering Non-Stationary Tasks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.00633.

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

pith.paper-citation-record.v1
2502.00633 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:22:50.927678Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T22:13:46.752750Z

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 91a38b12-e650-4864-b704-c54bf43fb3be · inbound

3D DNA Origami-Enabled Molecularly Addressable Optical Nanocircuit cites this paper.

3D DNA Origami-Enabled Molecularly Addressable Optical Nanocircuit Lipschitz Lifelong Monte Carlo Tree Search for Mastering Non-Stationary Tasks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T23:22:50.927678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:22:50.927678Z digest=sha256:5069c7f261fa02540697601ba47c09792db3a656bf35295508f5f875f68843eb

Observation eda2cdf4-cfb6-4734-9f14-2db650e75ce8 · inbound

Tail-Risk-Safe Monte Carlo Tree Search under PAC-Level Guarantees cites this paper.

Tail-Risk-Safe Monte Carlo Tree Search under PAC-Level Guarantees Lipschitz Lifelong Monte Carlo Tree Search for Mastering Non-Stationary Tasks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T23:22:29.231783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:22:29.231783Z digest=sha256:68c1235cd31fb8781fea9709cd1e49940c5123b7cb500376b1471a0927715e10

Observation 6f116d33-cd68-4989-85d5-71d89ab5d3a1 · inbound

MINT: Minimal Information Neuro-Symbolic Tree for Objective-Driven Knowledge-Gap Reasoning and Active Elicitation cites this paper.

MINT: Minimal Information Neuro-Symbolic Tree for Objective-Driven Knowledge-Gap Reasoning and Active Elicitation Lipschitz Lifelong Monte Carlo Tree Search for Mastering Non-Stationary Tasks

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:17:30.666906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T07:13:42.705619Z digest=sha256:b1de24800d42f71a59567e6902d1989eb86a93e4be37094667903c52d9796ee9

Observation 57806f1d-b1e3-42ab-98bf-2c1f1b1ba908 · inbound

Operator-Guided Invariance Learning for Continuous Reinforcement Learning cites this paper.

Operator-Guided Invariance Learning for Continuous Reinforcement Learning Lipschitz Lifelong Monte Carlo Tree Search for Mastering Non-Stationary Tasks

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:06:08.767806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T12:45:52.092349Z digest=sha256:c892ac045f35cb921b9809037c0bbaff65cfbebef355be55be4c8a01ab65bcac

Observation cf33e756-3e32-44b9-aa43-1f5a4befbeda · inbound

Metric-Gradient Projection for Stable Multi-Agent Policy Learning cites this paper.

Metric-Gradient Projection for Stable Multi-Agent Policy Learning Lipschitz Lifelong Monte Carlo Tree Search for Mastering Non-Stationary Tasks

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:13:46.755847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T22:13:00.107205Z digest=sha256:5284532901759bec83edf847714437d1a7b6fa3b198d90a76c6ad92c343c65a3