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Paper Citation Record · LEDGER

Answering Questions by Meta-Reasoning over Multiple Chains of Thought

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2304.13007.

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

pith.paper-citation-record.v1
2304.13007 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T16:05:04.715678Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T16:06:45.880121Z

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 98a2ba38-99d2-4043-aa5b-96d6cc4a13f3 · inbound

Reflexion: Language Agents with Verbal Reinforcement Learning cites this paper.

Reflexion: Language Agents with Verbal Reinforcement Learning Answering Questions by Meta-Reasoning over Multiple Chains of Thought

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:51:41.932667Z

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.

source=pdf_text observed=2026-05-10T13:51:41.915864Z digest=sha256:8dd6f517f88ad6e4359d2285939d14893404afdeda8f0eb98e5ffb4d3ed07436

Observation a5be066f-3310-4867-a856-8c165680d194 · inbound

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines cites this paper.

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines Answering Questions by Meta-Reasoning over Multiple Chains of Thought

Reference 64

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:57:47.222947Z

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.

source=arxiv_source observed=2026-05-11T18:57:46.756656Z digest=sha256:62e7305e56fcab8f06159e05374793ad5a9e8a037cfc51b5bf96b630b54b7b47

Observation 9e3522f4-4a64-419a-8bb9-b4f87a7d88a2 · inbound

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs cites this paper.

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs Answering Questions by Meta-Reasoning over Multiple Chains of Thought

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T23:58:29.225691Z

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.

source=pdf_text observed=2026-05-18T23:58:29.040819Z digest=sha256:d1567dc6529ee28011b33ee4a5065527281127f41261f5580e0222ffd68e6b8d

Observation 93560d94-cf80-40af-91d3-100d993adfaa · inbound

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

ZeroSearch: Incentivize the Search Capability of LLMs without Searching Answering Questions by Meta-Reasoning over Multiple Chains of Thought

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-17T17:44:13.426689Z

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.

source=pdf_text observed=2026-05-17T17:44:13.310155Z digest=sha256:04aadec9693fe7e304a1f26f794f48c9c5322ce14f9bfc23af36c40db291d936

Observation 45e4c17c-8699-4064-8669-a27db9fb026b · inbound

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

ZeroSearch: Incentivize the Search Capability of LLMs without Searching Answering Questions by Meta-Reasoning over Multiple Chains of Thought

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-22T16:06:45.883756Z

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.

source=pdf_text observed=2026-05-22T16:05:04.715678Z digest=sha256:a8f2fc54eda307ee968c96a244c625ac9862549bb1cc2f9403b6da50f5e551d0