Paper Citation Record · LEDGER

On the Worst Prompt Performance of Large Language Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.10248.

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

pith.paper-citation-record.v1
2406.10248 v4

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 2026-08-16T12:06:01.609877Z

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

3
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 37aa3851-2387-48c6-9c53-0665b0784298 · inbound

Position: Contextual Integrity is Inadequately Applied to Language Models cites this paper.

Position: Contextual Integrity is Inadequately Applied to Language Models On the Worst Prompt Performance of Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T21:05:08.737632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10aa613b-b5cf-4c7f-b312-43579645a35a · inbound

Do Prompt Patterns Affect Code Quality? A First Empirical Assessment of ChatGPT-Generated Code cites this paper.

Do Prompt Patterns Affect Code Quality? A First Empirical Assessment of ChatGPT-Generated Code On the Worst Prompt Performance of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:01.609877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93eb09a3-fb8f-4a6c-bbb5-4e418bbd4ad0 · 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 On the Worst Prompt Performance of Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T10:59:03.731271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0453bce-7b10-434f-b1ae-ee82e59b67cf · inbound

Foundational Design Principles and Patterns for Building Robust and Adaptive GenAI-Native Systems cites this paper.

Foundational Design Principles and Patterns for Building Robust and Adaptive GenAI-Native Systems On the Worst Prompt Performance of Large Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T22:11:52.653708Z

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.

Observation 1f3e79a8-9e9d-4e11-a909-0a305c284d92 · inbound

Compared to What? Baselines and Metrics for Counterfactual Prompting cites this paper.

Compared to What? Baselines and Metrics for Counterfactual Prompting On the Worst Prompt Performance of Large Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-09T19:05:10.408322Z

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.

Observation 9e49ce87-144c-470b-abf3-2d890fb9808d · inbound

Measuring Behavior Portability in Large Language Models cites this paper.

Measuring Behavior Portability in Large Language Models On the Worst Prompt Performance of Large Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-26T09:09:16.266685Z

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.