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Paper Citation Record · LEDGER

LPML: LLM-Prompting Markup Language for Mathematical Reasoning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2309.13078.

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

pith.paper-citation-record.v1
2309.13078 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 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:59:07.866929Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:39:45.653160Z

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 9c08bdbd-4387-41b4-af15-0abe44eafb75 · inbound

ZeroSearch: Incentivize the Search Capability of LLMs without Searching cites this paper.

ZeroSearch: Incentivize the Search Capability of LLMs without Searching LPML: LLM-Prompting Markup Language for Mathematical Reasoning

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-17T17:44:13.412066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-17T17:44:13.310155Z digest=sha256:ceb5e840bab7a80a6b5fd63f0b23086b6f9fe22ff687e51da205e7f42e5a5d22

Observation c3b72591-3104-4a65-8a49-7f1ac7114e0c · inbound

ZeroSearch: Incentivize the Search Capability of LLMs without Searching cites this paper.

ZeroSearch: Incentivize the Search Capability of LLMs without Searching LPML: LLM-Prompting Markup Language for Mathematical Reasoning

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-22T16:06:45.959021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-22T16:05:04.715678Z digest=sha256:139594b2617a12e0b50429618c00680de685d89ee5c397ddba9221edf575a9d2

Observation 58e79156-0d7d-40d6-a1bf-dfdd8c343d3c · inbound

More or Less Wrong: A Benchmark for Directional Bias in LLM Comparative Reasoning cites this paper.

More or Less Wrong: A Benchmark for Directional Bias in LLM Comparative Reasoning LPML: LLM-Prompting Markup Language for Mathematical Reasoning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:07.866929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:59:07.866929Z digest=sha256:6f3aa17ebfea632fef16de6379b673f5b4b8d1456fadaa818372ce33c6e18331

Observation f6693aa4-21c6-4e82-b3d4-856c51c5336c · inbound

Beyond Passive Critical Thinking: Fostering Proactive Questioning to Enhance Human-AI Collaboration cites this paper.

Beyond Passive Critical Thinking: Fostering Proactive Questioning to Enhance Human-AI Collaboration LPML: LLM-Prompting Markup Language for Mathematical Reasoning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T10:52:50.318100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:52:50.318100Z digest=sha256:839a9fffac85dcae57bccdd7e2174d0557780d9c6c17ef1fc3bc0ea83b68f23b

Observation e6acf7fb-4868-4361-b70e-19e95336a055 · inbound

POTracker: Optimizing Large Language Models for Standard-Compliant Power Outage Report Generation cites this paper.

POTracker: Optimizing Large Language Models for Standard-Compliant Power Outage Report Generation LPML: LLM-Prompting Markup Language for Mathematical Reasoning

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:39:45.655246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-26T08:36:56.356412Z digest=sha256:bef7617636b8098e4823f6d4050da1ae44cde1228cf05e5c9462f3cc8601eee2

Observation ffc8fe3f-7314-4746-8c48-04114915f234 · inbound

POTracker: Optimizing Large Language Models for Standard-Compliant Power Outage Report Generation cites this paper.

POTracker: Optimizing Large Language Models for Standard-Compliant Power Outage Report Generation LPML: LLM-Prompting Markup Language for Mathematical Reasoning

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T19:13:53.169626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-29T04:51:43.585959Z digest=sha256:4d28f15903d0df8158264ba2f7a1da7f5c34d0a4ffc9bc0e4f66b0bc7c407f50