Paper Citation Record · LEDGER

Quantifying perturbation impacts for large language models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2412.00868.

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

pith.paper-citation-record.v1
2412.00868 v1

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 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:45:11.743489Z

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

1
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 97cac6cc-4003-485c-973a-6f381383f10f · inbound

Large Language Models for Statistical Inference: Context Augmentation with Applications to the Two-Sample Problem and Regression cites this paper.

Large Language Models for Statistical Inference: Context Augmentation with Applications to the Two-Sample Problem and Regression Quantifying perturbation impacts for large language models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:11.743489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 806f548e-a973-408f-a635-6ee93f4739c4 · inbound

"GenAI Defaults to Bias!" Gamify AI Literacy Through Reflections on Prompts cites this paper.

"GenAI Defaults to Bias!" Gamify AI Literacy Through Reflections on Prompts Quantifying perturbation impacts for large language models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-04T16:29:40.984617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ecf9eab-3204-4f64-b082-584c998788ba · inbound

Evaluating Reliability Gaps in Large Language Model Safety via Repeated Prompt Sampling cites this paper.

Evaluating Reliability Gaps in Large Language Model Safety via Repeated Prompt Sampling Quantifying perturbation impacts for large language models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:55:37.929010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 827de993-6f2e-4110-80ac-e38e3ba56e4e · inbound

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

Compared to What? Baselines and Metrics for Counterfactual Prompting Quantifying perturbation impacts for large language models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-09T19:05:10.628132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56ae1548-4fc0-4783-a2a7-e6eb6fc9fc12 · inbound

Consistency as a Testable Property: Statistical Methods to Evaluate AI Agent Reliability cites this paper.

Consistency as a Testable Property: Statistical Methods to Evaluate AI Agent Reliability Quantifying perturbation impacts for large language models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:41:21.807858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.