Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.08958.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:28:33.304802Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T18:00:12.716834Z
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 9536d212-42d4-4a51-ad15-448fd7227b50 · inbound
Think Twice, Act Once: A Co-Evolution Framework of LLM and RL for Large-Scale Decision Making cites this paper.
Think Twice, Act Once: A Co-Evolution Framework of LLM and RL for Large-Scale Decision Making LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers
Reference 6299
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:28:33.304802Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 488e211f-d605-477c-a681-2f58508d4a4b · inbound
Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback cites this paper.
Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:03:27.944964Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dccaa863-275d-4dca-8318-233869673540 · inbound
Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons cites this paper.
Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T18:00:12.720893Z
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.