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Paper Citation Record · LEDGER

Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.03624.

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

pith.paper-citation-record.v1
2407.03624 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T11:12:28.939675Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T14:51:42.603693Z

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 328365f6-2117-4573-b883-4f41aae9fc4b · inbound

Balancing Content Size in RAG-Text2SQL System cites this paper.

Balancing Content Size in RAG-Text2SQL System Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T11:12:28.939675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T11:12:28.939675Z digest=sha256:25fb7818406161f570b9e48307d998b2ed2698bb3b6751b5deccfb2146df50dd

Observation 1ef79abc-efe7-437b-98dc-a0721e32826e · inbound

From Test-taking to Cognitive Scaffolding: A Pedagogical Diagnostic Benchmark for LLMs on English Standardized Tests cites this paper.

From Test-taking to Cognitive Scaffolding: A Pedagogical Diagnostic Benchmark for LLMs on English Standardized Tests Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:51:42.606704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-22T14:48:53.744204Z digest=sha256:efbfcd1a280677aa2cd225de8c0c63760b5310cd448f4dabc00e8ae746b8a86e

Observation 94d12851-e99a-494c-b2c9-9ce573293938 · inbound

MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability cites this paper.

MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T13:59:18.548546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:18.548546Z digest=sha256:ea8881ff80460ad88848857ddebb74ac97815207598d9f48efa419ff84066120

Observation 5542370a-c295-4047-a449-f6136172f39c · inbound

Evaluation of LLMs for mathematical problem solving cites this paper.

Evaluation of LLMs for mathematical problem solving Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks

Reference 156

Resolution
unresolved
no resolver link, observed 2026-08-07T12:11:15.303738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:11:15.303738Z digest=sha256:ccb728ce4557b8d03f31cff7a1cdc15d3833af81e13c8ea034be0c53b45203d4

Observation 8dbffacd-d2e2-48b2-93b9-8ecc1bef1d57 · inbound

Are They All Good? Evaluating the Quality of CoTs in LLM-based Code Generation cites this paper.

Are They All Good? Evaluating the Quality of CoTs in LLM-based Code Generation Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T18:57:13.146831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:57:13.146831Z digest=sha256:9f340a3c5b9533772b866534a120b38da1ba4d2aceb29e90827ead411028b8ee

Observation a4913287-2301-4405-a3d0-25809dc5cfc3 · inbound

Investigating Symbolic Triggers of Hallucination in Gemma Models Across HaluEval and TruthfulQA cites this paper.

Investigating Symbolic Triggers of Hallucination in Gemma Models Across HaluEval and TruthfulQA Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T22:18:42.949054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:18:42.949054Z digest=sha256:8a011f946ba63194cc64e57f657eb4c0c25600f84cf972f857b05a20f3dd895e