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Paper Citation Record · LEDGER

LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2312.08958.

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

pith.paper-citation-record.v1
2312.08958 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:31:55.943133Z

measured 0 of 1 external citation measurements

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 14fd4e46-3faa-4086-98ac-57d7907e25ef · inbound

PRISM: Projection-based Reward Integration for Scene-Aware Real-to-Sim-to-Real Transfer with Few Demonstrations cites this paper.

PRISM: Projection-based Reward Integration for Scene-Aware Real-to-Sim-to-Real Transfer with Few Demonstrations LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T05:31:55.943133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:31:55.943133Z digest=sha256:1da2d64886bae2d187b97a2fe0d2001471b143843c4b1f69e1ebd4839fd8db57

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.

source=pdf_text observed=2026-08-07T11:28:33.304802Z digest=sha256:7bf26aeca0e6304022504c9a669772650fe2d0248bd386ae6931c6689d942eb1

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.

source=pdf_text observed=2026-08-07T11:03:27.944964Z digest=sha256:99caca5650de04c9dd491abca06e0922d53ff4a1f61b318791b11dbe7cc18bd4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T17:59:52.365630Z digest=sha256:4399055914ca5e7d65d764c552652f2fa28366e5dd708534ae88b700cf1543bf