Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Knowledge Distillation with Training Wheels
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2502.17717.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:42:40.936562Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-07T16:24:00.987971Z
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 b14daabd-a966-4ec4-ba5a-f2c53e76b720 · inbound
Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning cites this paper.
Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning Knowledge Distillation with Training Wheels
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:42:40.936562Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08064f05-4d31-4db1-8a3b-7975f632e8a1 · inbound
Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training cites this paper.
Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training Knowledge Distillation with Training Wheels
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:07:17.357842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e574e0e9-185c-4311-adc3-6ddbc782f817 · inbound
Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training cites this paper.
Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training Knowledge Distillation with Training Wheels
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:25:04.047851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3ac71706-4062-4093-8361-eb897049f139 · inbound
Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training cites this paper.
Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training Knowledge Distillation with Training Wheels
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:42:39.630426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ec71f857-9c2b-4a8b-892f-b1b11feb62bf · inbound
Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training cites this paper.
Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training Knowledge Distillation with Training Wheels
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T07:59:50.381486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d0388e6d-e7ad-4743-8324-16ab7979439e · inbound
TREK: Distill to Explore, Reinforce to Refine cites this paper.
TREK: Distill to Explore, Reinforce to Refine Knowledge Distillation with Training Wheels
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-07-07T16:24:00.992883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.