Paper Citation Record · LEDGER

ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2410.12405.

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

pith.paper-citation-record.v1
2410.12405 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:10:24.818576Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T22:00:41.459400Z

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 d482c786-74a1-4a91-b16e-9883d91b5654 · inbound

OphthBench: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Ophthalmology cites this paper.

OphthBench: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Ophthalmology ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T16:10:24.818576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0396fec9-6d6e-4841-9db6-cc8f4f3a90de · inbound

Benchmarking Prompt Sensitivity in Large Language Models cites this paper.

Benchmarking Prompt Sensitivity in Large Language Models ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-08T16:55:45.557734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 317d27d0-9653-4bc7-b678-f95ecf74adcc · inbound

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing cites this paper.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T19:12:05.908000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab9adfa2-65e9-4fa1-89f1-c6cdcc6f608b · inbound

CEA-LIST at CheckThat! 2025: Evaluating LLMs as Detectors of Bias and Opinion in Text cites this paper.

CEA-LIST at CheckThat! 2025: Evaluating LLMs as Detectors of Bias and Opinion in Text ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:42:30.631408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af35e8b4-42d9-4e80-be8b-aa6374db1b08 · inbound

Innocence in the Crossfire: Roles of Skip Connections in Jailbreaking Visual Language Models cites this paper.

Innocence in the Crossfire: Roles of Skip Connections in Jailbreaking Visual Language Models ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T16:25:55.131501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41e3edb8-238a-4631-af99-8b8d33935d24 · inbound

Position: Intelligent Coding Systems Should Write Programs with Justifications cites this paper.

Position: Intelligent Coding Systems Should Write Programs with Justifications ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-05T23:02:03.507900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0dfa80e-1ca8-4d5e-b821-f531892370bd · inbound

Prompt Orchestration Markup Language cites this paper.

Prompt Orchestration Markup Language ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-05T18:53:59.097204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65f374e7-d076-469c-89f0-38f6d2283401 · inbound

Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs cites this paper.

Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T15:52:45.112544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95f3bdf0-2df9-4a41-973a-0a513e5c9e91 · inbound

Position: AI Evaluations Should be Grounded on a Theory of Capability cites this paper.

Position: AI Evaluations Should be Grounded on a Theory of Capability ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:00:41.461466Z

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 80c854a9-5842-4010-a0f9-6888d15c492f · inbound

PEEM: Prompt Engineering Evaluation Metrics for Interpretable Joint Evaluation of Prompts and Responses cites this paper.

PEEM: Prompt Engineering Evaluation Metrics for Interpretable Joint Evaluation of Prompts and Responses ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:00:03.005959Z

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 3676e2e3-eb0f-45da-9d56-7f7ec3753590 · inbound

Rectification Difficulty and Optimal Sample Allocation in LLM-Augmented Surveys cites this paper.

Rectification Difficulty and Optimal Sample Allocation in LLM-Augmented Surveys ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:41:36.675484Z

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 2bd85b4b-5c78-4e94-b35f-dfc7610861b1 · inbound

Green Shielding: A User-Centric Approach Towards Trustworthy AI cites this paper.

Green Shielding: A User-Centric Approach Towards Trustworthy AI ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:56:23.988324Z

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 50c4b95d-cc66-4c4b-be0a-a126af42ad88 · inbound

Leveraging LLMs for Grammar Adaptation: A Study on Metamodel-Grammar Co-Evolution cites this paper.

Leveraging LLMs for Grammar Adaptation: A Study on Metamodel-Grammar Co-Evolution ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:23:57.360447Z

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.