Paper Citation Record · LEDGER

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models

As of 9 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2604.23795.

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

pith.paper-citation-record.v1
2604.23795 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T06:01:02.143482Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

verified exact2
verified fuzzy24
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 593a3f77-e82d-4040-8f1a-cd4207a7fb3b · outbound

This paper cites An investigation of data privacy and utility using machine learning as a gauge.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models An investigation of data privacy and utility using machine learning as a gauge

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.719923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 490cce1e-c33f-4195-986c-0483a0996b17 · outbound

This paper cites Utilizing Noise Addition for Data Privacy, an Overview.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models Utilizing Noise Addition for Data Privacy, an Overview

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:39:31.048910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 16de756d-e90c-48bd-9a65-7984070bc25a · outbound

This paper cites Deep learning with differential privacy.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models Deep learning with differential privacy

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.707415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0666d167-8b28-4735-bfb8-47ce203f6728 · outbound

This paper cites Differential privacy.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models Differential privacy

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.675844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d94b77b4-e411-4d4e-83c0-146ccb7c8222 · outbound

This paper cites Membership inference attacks against machine learning models.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models Membership inference attacks against machine learning models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.709362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 92c879ea-4d39-46b3-9642-e3b63b63e1c6 · outbound

This paper cites Privacy risk in machine learning: Analyz- ing the connection to overfitting.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models Privacy risk in machine learning: Analyz- ing the connection to overfitting

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.700335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e48939c1-5039-4ba1-8856-7b879c6816ea · outbound

This paper cites Private empirical risk minimization.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models Private empirical risk minimization

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.686176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5abf7bc0-7025-4d82-8426-66c2238839ac · outbound

This paper cites Private stochastic convex optimization: Optimal rates inℓ 1 geom- etry.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models Private stochastic convex optimization: Optimal rates inℓ 1 geom- etry

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.711023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 12bac186-a97c-4946-a6bc-d1440f6a8e15 · outbound

This paper cites EW-Tune: A framework for privately fine-tuning large language models with differential privacy.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models EW-Tune: A framework for privately fine-tuning large language models with differential privacy

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.689446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 51e70973-ae0c-4036-b039-93c1c8703227 · outbound

This paper cites PrivLLM-Guard: An adaptive differential privacy framework for clinical large language models.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models PrivLLM-Guard: An adaptive differential privacy framework for clinical large language models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.678668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 48c8cf86-a618-4eba-b6b1-b2513bd13b68 · outbound

This paper cites Enhancing large lan- guage model privacy with differentially private parameter-efficient fine-tuning.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models Enhancing large lan- guage model privacy with differentially private parameter-efficient fine-tuning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.716566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4e5f99e4-f2c3-464a-adb7-455a0ede5b84 · outbound

This paper cites Differential privacy in the era of large- scale generative AI.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models Differential privacy in the era of large- scale generative AI

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.650006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 90540578-9622-416c-9eb3-78713fc3428d · outbound

This paper cites Leveraging open LLMs for pri- vate adaptation without exposing data.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models Leveraging open LLMs for pri- vate adaptation without exposing data

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.681885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7b6a1aee-9bd9-4063-a60b-3527ff1dc315 · outbound

This paper cites Privacy-Flat: Towards flatter loss landscape for privacy-preserving large lan- guage models.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models Privacy-Flat: Towards flatter loss landscape for privacy-preserving large lan- guage models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.696763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4578cf47-3ca1-496c-a0b8-937c53900a16 · outbound

This paper cites Privacy in Large Language Models: Attacks, Defenses and Future Directions.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models Privacy in Large Language Models: Attacks, Defenses and Future Directions

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:16:33.235994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 99434425-913d-4c2f-82c8-3cd97c5cb6dc · outbound

This paper cites Privacy-Preserving4LLM: A benchmark for privacy-preserving techniques in large lan- guage model training.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models Privacy-Preserving4LLM: A benchmark for privacy-preserving techniques in large lan- guage model training

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.717901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ba50d928-087d-4a52-b4cd-bc413ecbb623 · outbound

This paper cites Large language models are privacy-erasable.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models Large language models are privacy-erasable

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.695434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 51c77b10-e690-445d-aca4-487b84d8710f · outbound

This paper cites Towards a human-centered LLM privacy research agenda.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models Towards a human-centered LLM privacy research agenda

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.706046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation da43b7c0-19e4-4148-8501-455d2a7cc0b0 · outbound

This paper cites Human-centred privacy audits for large language models.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models Human-centred privacy audits for large language models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.727636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5dfa0311-b29c-4328-9de1-de7e9b8e6c2f · outbound

This paper cites Human-centered privacy framework for AI systems.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models Human-centered privacy framework for AI systems

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.685604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e2a36763-e0c9-49e6-a720-6665d980a4fd · outbound

This paper cites Human- centric AI: Philosophical foundations.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models Human- centric AI: Philosophical foundations

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.723711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b3b30824-7c3b-45b7-834d-9e227e33ce89 · outbound

This paper cites Security and privacy challenges of large language models.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models Security and privacy challenges of large language models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.702909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8de7519e-6eea-4b08-a88c-a68fa34a9aea · outbound

This paper cites DP-RAG: Applying differen- tial privacy to retrieval-augmented generation.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models DP-RAG: Applying differen- tial privacy to retrieval-augmented generation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.721193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 133c1453-4245-48a7-8365-ac6f7ab6fb21 · outbound

This paper cites Extracting training data from large language models.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models Extracting training data from large language models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.692794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 99b462e9-fc5d-4385-95d8-9674a553f364 · outbound

This paper cites EU Artificial Intelli- gence Act.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models EU Artificial Intelli- gence Act

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.712373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4a6856e0-2d34-4295-9f2d-6c4280ed5809 · outbound

This paper cites AI Risk Management Framework.

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models AI Risk Management Framework

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T19:18:14.714352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.