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Paper Citation Record · LEDGER

AI-Assisted Generation of Difficult Math Questions

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2407.21009.

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

pith.paper-citation-record.v1
2407.21009 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:11:50.670903Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:40:08.252506Z

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 0ff65180-e3b6-429b-bcfb-a0495ce12746 · inbound

Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation cites this paper.

Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation AI-Assisted Generation of Difficult Math Questions

Reference 168

Resolution
unresolved
no resolver link, observed 2026-08-10T15:18:55.012727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:55.012727Z digest=sha256:937893281f61ddac6c1d87d468bc94b70bad136bdc4bfe02f5a30c2593cdf363

Observation 38a6366a-6e42-4c3d-98d4-564a258771ae · inbound

MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations cites this paper.

MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations AI-Assisted Generation of Difficult Math Questions

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-08T15:26:07.650297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:26:07.650297Z digest=sha256:b1dda5e936e1430448c5b475ff3230b553d2319ceeb181e9cacc4c2b63fdbadc

Observation f40ecc08-d9b2-4de1-9432-aea3ac958b87 · inbound

Automated Capability Discovery via Foundation Model Self-Exploration cites this paper.

Automated Capability Discovery via Foundation Model Self-Exploration AI-Assisted Generation of Difficult Math Questions

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-08T12:17:55.334815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:17:55.334815Z digest=sha256:2621e70f98fcd6e567d14e82e18e7b6012f2c375db77a2e30967208b5c121790

Observation a360c43b-a2f8-4f0a-a27a-f9c218938788 · inbound

Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic cites this paper.

Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic AI-Assisted Generation of Difficult Math Questions

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T05:19:03.281512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:19:03.281512Z digest=sha256:45b4b75baff9b218fd9c382408b58459d60f329dc3a174f1f4fc640f5d7af8ef

Observation c68717eb-3c15-4e57-a78b-6f5bfcb3fafb · inbound

Automatically Generating Hard Math Problems from Hypothesis-Driven Error Analysis cites this paper.

Automatically Generating Hard Math Problems from Hypothesis-Driven Error Analysis AI-Assisted Generation of Difficult Math Questions

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:40:49.945602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T19:39:36.819142Z digest=sha256:939f16b96af20160c2c3e461d01e994730273a3d258d62dcd1eba291cb8be609

Observation cc984434-c759-4496-bf35-b7f631a54615 · inbound

Human vs Machine Mathematical Difficulty on Project Euler: An Experimental Analysis cites this paper.

Human vs Machine Mathematical Difficulty on Project Euler: An Experimental Analysis AI-Assisted Generation of Difficult Math Questions

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:19:44.142546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-26T11:55:19.015777Z digest=sha256:6ece84e63bea83bf3e59cc45802eaa44e4bb6f7e61ad712962792641845a6da2

Observation ce52f3fc-7f6c-441b-ba7d-2c718e06c498 · 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 AI-Assisted Generation of Difficult Math Questions

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:40:08.254047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-25T19:50:35.574454Z digest=sha256:9244e9dc29b5b7923bec12c3c4ab8fc97759c4b4904875c7b160db5f9ddb0955

Observation c42a05ce-2a12-4088-ae2f-eecf831c8c31 · 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 AI-Assisted Generation of Difficult Math Questions

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:19:51.242672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-26T05:16:12.361470Z digest=sha256:3f9a43bdb030785c32e3e2edf47e4ae4417c73d8f15756dc2c00c699f6bc0385

Observation 40e65629-249f-4b0f-b6f3-1ab1aaa7a951 · 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 AI-Assisted Generation of Difficult Math Questions

Reference 22

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:a7e53554f2477e51f070f233e0f1588305c97246221dc6b2f20d55f874429355

Observation 3769a8a2-921a-42ea-a2ef-7aab904d3024 · inbound

Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning cites this paper.

Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning AI-Assisted Generation of Difficult Math Questions

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T04:30:43.301574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:30:43.301574Z digest=sha256:28e74b2a234b3fe3fad5ec073b2800bd26aff9a4c26c5fa89f2babe97da39375

Observation ade2654e-b2f0-4134-95f6-032253e180fa · inbound

Ask-E: An Environment for Calibrated Question Generation cites this paper.

Ask-E: An Environment for Calibrated Question Generation AI-Assisted Generation of Difficult Math Questions

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T18:11:50.670903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:11:50.670903Z digest=sha256:9568c34713cb1b1163b2b20cb3566fdedface4526be59752040f9796bace6425