Paper Citation Record · LEDGER

ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2305.14688.

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

pith.paper-citation-record.v1
2305.14688 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T12:52:24.569727Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

53
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bbef2bdf-6061-415c-8f2e-aad6ef8f7581 · inbound

Dr. Jekyll and Mr. Hyde: Two Faces of LLMs cites this paper.

Dr. Jekyll and Mr. Hyde: Two Faces of LLMs ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-24T05:06:00.332067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1499a65f-6eb8-440c-99bf-164549f1b6fd · inbound

Automated Design of Agentic Systems cites this paper.

Automated Design of Agentic Systems ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

Reference 224

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T08:07:54.854381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2fd9f1c9-13b8-4dbf-9d24-95c065eb86bc · inbound

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations cites this paper.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T12:52:24.569727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9778bea5-54d2-4792-bf29-87ab361644f8 · inbound

Leveraging Multimodal LLM for Inspirational User Interface Search cites this paper.

Leveraging Multimodal LLM for Inspirational User Interface Search ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T04:35:02.581595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8e6a269-8973-48b8-9f09-b9ac176fc4f7 · inbound

RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models cites this paper.

RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:37:31.779033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2e481466-5886-4187-9bb8-399eadc7eee4 · inbound

LLMs Can Teach Themselves to Better Predict the Future cites this paper.

LLMs Can Teach Themselves to Better Predict the Future ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T20:20:35.389730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b76a2f3f-0b6a-43a4-aeea-ccf559f0616b · inbound

Teaching Astronomy with Large Language Models cites this paper.

Teaching Astronomy with Large Language Models ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:17:15.398297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 549ec450-da4f-4584-85ba-2e17cfc4c874 · inbound

Exploring Advanced LLM Multi-Agent Systems Based on Blackboard Architecture cites this paper.

Exploring Advanced LLM Multi-Agent Systems Based on Blackboard Architecture ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T20:51:15.174527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1223bc3c-44b7-4706-b00c-e34cbdd8c8c0 · inbound

An Integrated Framework of Prompt Engineering and Multidimensional Knowledge Graphs for Legal Dispute Analysis cites this paper.

An Integrated Framework of Prompt Engineering and Multidimensional Knowledge Graphs for Legal Dispute Analysis ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T18:35:40.890722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a0151d1-5578-4879-8c21-4cc38d70bb5b · inbound

SLIP: Soft Label Mechanism and Key-Extraction-Guided CoT-based Defense Against Instruction Backdoor in APIs cites this paper.

SLIP: Soft Label Mechanism and Key-Extraction-Guided CoT-based Defense Against Instruction Backdoor in APIs ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T00:56:56.348748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a408db24-e1ef-43db-82be-8c80c94f4451 · inbound

Integrating gender inclusivity into large language models via instruction tuning cites this paper.

Integrating gender inclusivity into large language models via instruction tuning ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T16:31:10.080720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a817f4bf-55e7-41a7-b0c3-e5941a825854 · inbound

XCR-Bench: Benchmarking Cross-Cultural Reasoning in LLMs via Culture-Specific Items and Hall's Triad cites this paper.

XCR-Bench: Benchmarking Cross-Cultural Reasoning in LLMs via Culture-Specific Items and Hall's Triad ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T09:22:26.051080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 491b1b2d-3752-44b2-908d-2f4af0aeaf2c · inbound

Understanding the Mechanism of Altruism in Large Language Models cites this paper.

Understanding the Mechanism of Altruism in Large Language Models ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

Reference 213

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:31:02.305454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d3e10a7-d49b-4d0d-a612-23400569416d · inbound

The Moltbook Files: A Harmless Slopocalypse or Humanity's Last Experiment cites this paper.

The Moltbook Files: A Harmless Slopocalypse or Humanity's Last Experiment ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:55:50.750377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fa6aad0a-61ab-4410-b38f-73cac9f0c58e · inbound

Using Large Language Models in Physics Education cites this paper.

Using Large Language Models in Physics Education ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-25T02:25:13.850785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1c382493-3117-42de-91dc-1db427f4e167 · inbound

Using Large Language Models in Physics Education cites this paper.

Using Large Language Models in Physics Education ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:04:46.062221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f6183354-4edb-4243-a9e9-c15471137892 · inbound

Label Over Logic? How Source Cues Bias Human Fallacy Judgments More Than LLMs cites this paper.

Label Over Logic? How Source Cues Bias Human Fallacy Judgments More Than LLMs ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-06-29T05:43:08.665733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.