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Paper Citation Record · LEDGER

Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2305.09993.

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

pith.paper-citation-record.v1
2305.09993 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:52:51.875140Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:39:47.072435Z

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 f8bd69cc-a2c1-4e79-8021-a6b3ab3f42b2 · inbound

A Short Survey on Formalising Software Requirements using Large Language Models cites this paper.

A Short Survey on Formalising Software Requirements using Large Language Models Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T01:07:27.378724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:07:27.378724Z digest=sha256:a0e923059e457577f3ab0fecbb64d0c2995174eedf6d014d74e096a35d20d108

Observation ce7ca304-36f9-49bb-aef3-98fa27059b19 · inbound

Working Document -- Formalising Software Requirements with Large Language Models cites this paper.

Working Document -- Formalising Software Requirements with Large Language Models Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-15T19:52:51.875140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:52:51.875140Z digest=sha256:d70a9bdaa88da8b512f0ebecd4f3abfae418fff38de6ccc011d0ba067fe5cb64

Observation 14dd10c4-67b0-4006-a320-5cdd458927f9 · inbound

Leveraging LLMs for Formal Software Requirements -- Challenges and Prospects cites this paper.

Leveraging LLMs for Formal Software Requirements -- Challenges and Prospects Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T16:13:52.883912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:13:52.883912Z digest=sha256:0b7f451b8f6e3f44974986117e5ded586a8ae1590dee3972fb9e55a9d1ec3c3a

Observation fd8a7477-b5d5-4917-b825-859ede32d3a8 · inbound

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing cites this paper.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T15:52:20.450575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:52:20.450575Z digest=sha256:f3ac2c029e45a90e0671148bd6a34c0ce8dea70434147df1aa03cf0c02185db8

Observation e158617d-8242-404f-97ff-79abed90cd64 · inbound

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement cites this paper.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T09:35:18.629026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:35:18.629026Z digest=sha256:956da918ea894f244e53ec3536203961ad0ca4e977d446930782422f91f30b14

Observation 29794439-19c9-4a5a-8d7f-72e679b83ff9 · inbound

RosettaSearch: Multi-Objective Inference-Time Search for Protein Sequence Design cites this paper.

RosettaSearch: Multi-Objective Inference-Time Search for Protein Sequence Design Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:26:27.761611Z

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=2026-05-10T06:21:59.612026Z digest=sha256:16d94a301da2ec449835702e08aee8129f7594081c5fad7dbc8621ae742e4eb7

Observation ede1a41b-fd1b-45d4-8e93-0816771b5104 · inbound

Towards Spec Learning: Inference-Time Alignment from Preference Pairs cites this paper.

Towards Spec Learning: Inference-Time Alignment from Preference Pairs Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

Reference 113

Resolution
verified exact
arxiv_id, observed 2026-07-04T11:39:47.074162Z

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=2026-06-26T07:49:36.816100Z digest=sha256:46496e262ab78fed46520b4c4abc85bfb868b43d853f9f12d9540433f7aaee21

Observation abc6a3f2-923b-413b-bb45-196d3be97741 · inbound

Towards Spec Learning: Inference-Time Alignment from Preference Pairs cites this paper.

Towards Spec Learning: Inference-Time Alignment from Preference Pairs Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

Reference 113

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:44:39.542963Z

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=2026-06-30T10:17:33.176525Z digest=sha256:d8ac3f5a10abf3b3ab631ff3ac13e57ab7ba316520f8c2d5428b1ffc4a553944