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Paper Citation Record · LEDGER

The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.15214.

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

pith.paper-citation-record.v1
2502.15214 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:13:40.383369Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:13:46.454609Z

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 bbb02410-a701-4f50-8c2a-5f685df8c4e4 · inbound

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving cites this paper.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:13:46.682510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:13:40.383369Z digest=sha256:97da51788c3ad020892564dc379eb1a7ca1708acabf7515dcab85c3586ab7cd2

Observation 9b97aedd-78bc-4c1f-928a-4c7361c03e17 · inbound

When Adaptive Rewards Hurt: Causal Probing and the Switching-Stability Dilemma in LLM-Guided LEO Satellite Scheduling cites this paper.

When Adaptive Rewards Hurt: Causal Probing and the Switching-Stability Dilemma in LLM-Guided LEO Satellite Scheduling The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-13T13:05:01.450957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T13:05:01.450957Z digest=sha256:7899f4e6d12918924d20632bf78a611bf823d27b1d35794850ecd723fa1273c3