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Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 8 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 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:28:53.942122Z

measured 18 of 18 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:32:16.538145Z

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

10 of 10 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved6
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 13c5b54c-dd53-4bc2-ae05-b904bc8d3aa4 · outbound

This paper cites Below are sample tasks from user.

CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks Below are sample tasks from user

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:28:54.074207Z

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.

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Observation 681efedb-546e-4afa-a5e2-c265bfb23b8a · outbound

This paper cites an unresolved cited work.

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

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:28:54.086058Z

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.

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Observation b9b3b74f-b031-4517-a6b4-c9bcd12e9263 · outbound

This paper cites reference.

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

Reference 4

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T10:28:54.062074Z

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.

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Observation d9480cc1-0e91-43c9-a344-0a8765804910 · outbound

This paper cites an unresolved cited work.

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

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:28:54.023287Z

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.

source=pdf_text observed=2026-08-06T10:28:53.917225Z digest=sha256:b6aabda080e44f2c3e912b25b1ff522f52e2a16abf82494c71a093cdc5f20d7c

Observation 7d4dab95-bac8-46eb-a7f7-88d70fb79b3e · outbound

This paper cites You are a reasoning question generator assistant.

CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks You are a reasoning question generator assistant

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:28:53.998331Z

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.

source=pdf_text observed=2026-08-06T10:28:53.924334Z digest=sha256:1bcca0118646dcce6adc1e6172f36b3ee0a4c77415c50fd3b3d02144dee9cde6

Observation de0c63d1-c953-449f-ba01-1427a99335a2 · outbound

This paper cites an unresolved cited work.

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

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:28:54.050032Z

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.

source=pdf_text observed=2026-08-06T10:28:53.928191Z digest=sha256:66ac1d791ae1f1c2116a66e94ac24cec2246095f90ba9faa73ff017b3ed75f2e

Observation 50bcaf1d-8fce-466e-8920-ebfcaebe671a · outbound

This paper cites an unresolved cited work.

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

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:28:54.037289Z

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.

source=pdf_text observed=2026-08-06T10:28:53.931802Z digest=sha256:82d7d162f55e776139689247bc46112d96075913734b0499bb42977cbf5f9022

Observation ae3c2fad-46f8-4269-92a2-642f40783bd3 · outbound

This paper cites an unresolved cited work.

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

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:28:53.985531Z

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.

source=pdf_text observed=2026-08-06T10:28:53.935129Z digest=sha256:e4f9166a7dec31bd7062b4e026d4cd8eab9537ac3a169a0708bac3ebe689a2ee

Observation d24cb585-5bd1-47b8-b748-d225822fcb4e · outbound

This paper cites an unresolved cited work.

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

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:28:54.010645Z

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.

source=pdf_text observed=2026-08-06T10:28:53.938571Z digest=sha256:0c379f72a34e24ac7d99aa6af869eacf52ed6b13532e0497884f4beb136a0e5b

Observation 1aed459f-2c26-48b7-884d-25664da87cd4 · outbound

This paper cites We conduct GRPO-training using Qwen3-4B-Base model on synthetic instructions generated by different templates, with targets sampled from Qwen3-4B.

CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks We conduct GRPO-training using Qwen3-4B-Base model on synthetic instructions generated by different templates, with targets sampled from Qwen3-4B

Reference 14

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T10:28:53.972160Z

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.

source=pdf_text observed=2026-08-06T10:28:53.942122Z digest=sha256:bfcd38d228fe61f51d4464a0c96212db6af35622ba31b7acfe576b2bafc3092d

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

source=pdf_text observed=2026-05-17T22:59:48.260121Z digest=sha256:ce1647e4ec27dbeb88da11e30c004724b0a2c0f6f48ddd2e1783a7bdaa9c9fab

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.

source=pdf_text observed=2026-08-03T01:17:11.778854Z digest=sha256:4a76e5efa36384796112321fd1fe5403c7aa58d426d6c61ce980b76ad92e7582

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

source=pdf_text observed=2026-06-28T17:18:37.671369Z digest=sha256:e51f283fd26095151b6cac9d35f0f41a1ee677e7a1530dced769fcd311c71202

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

source=arxiv_source observed=2026-06-25T19:50:35.574454Z digest=sha256:b71446f077edb60c1c707ed68bfaf754d0849957bd80fa8986224b2b5194e296

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

source=arxiv_source observed=2026-06-26T05:16:12.361470Z digest=sha256:03383bc7215183e96ef34d5f727fd131b7a07e3c27e2549f6c2ff886b12ed720

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.

source=arxiv_source observed=2026-07-12T12:08:06.206832Z digest=sha256:281d66bbd568e57f1a4c72dc4caa3a024c4a72b5a0c6e347671be7cb238e9b62

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.

source=pdf_text observed=2026-08-01T04:28:48.960183Z digest=sha256:94463bc8c41a344b5dc125099cc7f0ada178c7c6d845b9605d426e2812361e3d

Observation 06f09f0f-c884-4c3c-ba22-9251cfdaa6ac · inbound

Refine After Generation: Toward Correct and Concise Patches in LLM-based Program Repair cites this paper.

Refine After Generation: Toward Correct and Concise Patches in LLM-based Program Repair CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-14T14:32:16.538145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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