Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.18978.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:20:37.798716Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-04T20:49:38.619462Z
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 2fdf5f29-3fa4-413e-bc5b-f9b704fca44a · inbound
TutorGym: A Testbed for Evaluating AI Agents as Tutors and Students cites this paper.
TutorGym: A Testbed for Evaluating AI Agents as Tutors and Students Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:20:37.798716Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c79958e4-97eb-4b50-ab42-9d6571fe08c3 · inbound
Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features cites this paper.
Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:38:57.500399Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e04ffcf8-cdfd-4dbd-884c-1b5eaac566bd · inbound
Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing cites this paper.
Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T20:49:38.622706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.