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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.

pith.paper-citation-record.v1
2502.17717 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:42:40.936562Z

measured 0 of 1 external citation measurements

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.

source=arxiv_source observed=2026-08-07T10:42:40.936562Z digest=sha256:955e17650aef559bfeb9f6c851f14cceddd45b23b3ec20ed8899eb469ed4ded6

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T05:06:28.465349Z digest=sha256:5b5fc17d0bc3db17a11496b9d73abdbb418c10e76f1746c8845d7d95532196da

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T05:24:11.988955Z digest=sha256:e437b3852ea4209b5a7124daad5a8e1eac0f5fa134c3f80d68588a87db7ce247

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T16:42:12.419460Z digest=sha256:2c88dceeb4f4b25498428aa801b887ae20ec83bdf94e3ac019fbfc8ff35d9372

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-21T07:57:16.107445Z digest=sha256:b880486cb2d7bc225333ea68a9a92157f9f4ef3737e75211a554f1200d555eb7

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-07T16:22:55.342495Z digest=sha256:e4c60e452213afd75550d752f42c616a864132e169a8d6cfc1f5b793104627b7