Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Supervised Fine-Tuning as Inverse Reinforcement Learning
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.12017.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T20:04:17.744876Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T20:57:23.060366Z
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 4c8f68e1-facc-4105-b947-2b61dfe24128 · inbound
SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models cites this paper.
SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Supervised Fine-Tuning as Inverse Reinforcement Learning
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T07:01:49.443854Z
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.
Observation 739c97dd-5595-4134-ab9b-c337244e93d8 · inbound
When Behavioral Safety Evaluation Fails: A Representation-Level Perspective cites this paper.
When Behavioral Safety Evaluation Fails: A Representation-Level Perspective Supervised Fine-Tuning as Inverse Reinforcement Learning
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T20:57:23.061669Z
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.