Paper Citation Record · LEDGER

Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.07625.

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

pith.paper-citation-record.v1
2402.07625 v7

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 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:30:03.795718Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T10:11:52.071266Z

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 5d63552d-4d65-48ac-bef8-8f991b069b40 · inbound

YuLan-Mini: An Open Data-efficient Language Model cites this paper.

YuLan-Mini: An Open Data-efficient Language Model Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts

Reference 129

Resolution: unresolved; no resolver link, observed 2026-08-11T05:17:56.010835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fe54092-f937-4040-8c7d-294d134c76d3 · inbound

Analyze Feature Flow to Enhance Interpretation and Steering in Language Models cites this paper.

Analyze Feature Flow to Enhance Interpretation and Steering in Language Models Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-09T10:11:52.174690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9b6c678e-1e54-4153-b26a-4cde16206477 · inbound

Achieving Tokenizer Flexibility in Language Models through Heuristic Adaptation and Supertoken Learning cites this paper.

Achieving Tokenizer Flexibility in Language Models through Heuristic Adaptation and Supertoken Learning Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T21:30:03.795718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c2dbf9d-1174-4c2b-98c8-bc82d436a3ff · inbound

Not All Documents Are What You Need for Extracting Instruction Tuning Data cites this paper.

Not All Documents Are What You Need for Extracting Instruction Tuning Data Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:13.903540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.