Paper Citation Record · LEDGER

The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.02875.

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

pith.paper-citation-record.v1
2503.02875 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 2026-08-04T06:34:03.388597+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:09:41.585521Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-22T13:01:34.099392Z

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 9694cb0d-1a26-4cb1-8a28-613fb8689937 · inbound

MoGU V2: Toward a Higher Pareto Frontier Between Model Usability and Security cites this paper.

MoGU V2: Toward a Higher Pareto Frontier Between Model Usability and Security The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-04T23:09:41.585521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0c736c0-9b0f-402d-a8c4-4ebc58060722 · inbound

LightReasoner: Can Small Language Models Teach Large Language Models Reasoning? cites this paper.

LightReasoner: Can Small Language Models Teach Large Language Models Reasoning? The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:01:34.103016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 88777167-72ed-44f3-a06c-c5ac210d67cb · inbound

LaRe: Latent Refocusing for Multimodal Reasoning cites this paper.

LaRe: Latent Refocusing for Multimodal Reasoning The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-04T00:15:19.158876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abe0615a-e6ac-41c1-8065-d7d978e57c18 · inbound

Learn to Think: Improving Multimodal Reasoning through Vision-Aware Self-Improvement Training cites this paper.

Learn to Think: Improving Multimodal Reasoning through Vision-Aware Self-Improvement Training The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:22:23.497821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.