Paper Citation Record · LEDGER

CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2507.23751.

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

pith.paper-citation-record.v1
2507.23751 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:17:11.778854Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:40:08.284654Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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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 37c7f58b-4c4f-474c-9690-e1cefd9683bb · inbound

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis cites this paper.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:00:25.449719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bba855d3-ed5b-4adc-af3a-f8a425ea8d06 · inbound

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders cites this paper.

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T01:17:11.778854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e315e6d2-d6b1-4853-858b-f75e8fbbf44e · inbound

On the Generalization Gap in Self-Evolving Language Model Reasoning cites this paper.

On the Generalization Gap in Self-Evolving Language Model Reasoning CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:22:24.918750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1e7c41f6-0acd-4dbc-aa76-8e55e9b75f92 · inbound

Autodata: An agentic data scientist to create high quality synthetic data cites this paper.

Autodata: An agentic data scientist to create high quality synthetic data CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks

Reference 118

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:40:08.286363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cb653084-2481-4007-b2f9-eb48ccd4937b · inbound

Autodata: An agentic data scientist to create high quality synthetic data cites this paper.

Autodata: An agentic data scientist to create high quality synthetic data CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks

Reference 118

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:19:51.235577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d3506294-cd57-45c3-af53-d3e2633180b4 · inbound

Autodata: An agentic data scientist to create high quality synthetic data cites this paper.

Autodata: An agentic data scientist to create high quality synthetic data CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-12T12:08:06.206832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e14d102-216a-41ad-a1c2-4695e8cd40b1 · inbound

Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills cites this paper.

Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:48.960183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.