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Paper Citation Record · LEDGER

On the Importance of Difficulty Calibration in Membership Inference Attacks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2111.08440.

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

pith.paper-citation-record.v1
2111.08440 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:46:23.192542Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:59:46.017653Z

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 d6a1fa55-3001-4021-8411-c5fdfdb8cf0b · inbound

The False Promise of Imitating Proprietary LLMs cites this paper.

The False Promise of Imitating Proprietary LLMs On the Importance of Difficulty Calibration in Membership Inference Attacks

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-18T06:54:31.413670Z

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.

source=arxiv_source observed=2026-05-18T06:54:31.175090Z digest=sha256:d4a556eba6ed03f1f01535ca86d543d6a4fa0dd7d923e0466a1513f84bc6d531

Observation 1d60a02f-a961-4453-a433-5e76ee8022b1 · inbound

Watermarking across Modalities for Content Tracing and Generative AI cites this paper.

Watermarking across Modalities for Content Tracing and Generative AI On the Importance of Difficulty Calibration in Membership Inference Attacks

Reference 1993

Resolution
unresolved
no resolver link, observed 2026-08-09T11:46:23.192542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:46:23.192542Z digest=sha256:f322f44153e73b43fc5459f76fac8363da935db25d67916c41cd7ca24a0e5a37

Observation 967940f5-5ca1-4f64-8688-088ee60843b7 · inbound

Unveiling Client Privacy Leakage from Public Dataset Usage in Federated Distillation cites this paper.

Unveiling Client Privacy Leakage from Public Dataset Usage in Federated Distillation On the Importance of Difficulty Calibration in Membership Inference Attacks

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T11:15:28.582584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:15:28.582584Z digest=sha256:a9ebe82313e09775f8663a90f63e4a90ecb420b8d14f2c8847618d20a1f11bdd

Observation a4eede62-8fc0-4572-95d6-c4ace18822a7 · inbound

Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack cites this paper.

Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack On the Importance of Difficulty Calibration in Membership Inference Attacks

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T11:21:28.996687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:21:28.996687Z digest=sha256:69ae3e5157ebc611efd0c0b161cfe1dc3f6aa83ae123ea348498f97d80859dca

Observation b4da9368-4e9a-4858-9969-649ab55f6bb0 · inbound

Synthetic Tabular Data: Methods, Attacks and Defenses cites this paper.

Synthetic Tabular Data: Methods, Attacks and Defenses On the Importance of Difficulty Calibration in Membership Inference Attacks

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T06:06:21.013927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:06:21.013927Z digest=sha256:35410817f24adfd238e950c9fee4eb2a7da1f2ffa2eb3c859a62547cc200fad9

Observation 93ded813-d668-44f8-9a34-230841773cc7 · inbound

Membership Inference Attacks for Unseen Classes cites this paper.

Membership Inference Attacks for Unseen Classes On the Importance of Difficulty Calibration in Membership Inference Attacks

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T06:04:24.401244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:04:24.401244Z digest=sha256:ebb76a87376e53ab6efc14550d3b13cbfc2f015c0c9eeefed1ee08ddf0b99dc6

Observation c6fc312a-8422-42c6-8614-90c873970e16 · inbound

Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework cites this paper.

Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework On the Importance of Difficulty Calibration in Membership Inference Attacks

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T15:15:21.392711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:15:21.392711Z digest=sha256:a4b9c07a537cb5eb5b2ab7e1589da4dcb9e209ee74a419c916bab7e643234b81

Observation 0d6b4a36-0a9f-46f0-aba3-08feaf8f9ade · inbound

Evaluating the Dynamics of Membership Privacy in Deep Learning cites this paper.

Evaluating the Dynamics of Membership Privacy in Deep Learning On the Importance of Difficulty Calibration in Membership Inference Attacks

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T10:58:06.068483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:58:06.068483Z digest=sha256:33827cf936e9bd0808b77b4eaa554a52464c512991a16c0740e9d142d79bd0e8

Observation fd6dfb77-44ef-4e9a-8f0e-106c066968d4 · inbound

Membership Inference Attacks with False Discovery Rate Control cites this paper.

Membership Inference Attacks with False Discovery Rate Control On the Importance of Difficulty Calibration in Membership Inference Attacks

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-05T22:28:06.202502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:28:06.202502Z digest=sha256:860c8736b3b63b7c8ac9097b186aac24a6386e025ed2fa287c12aaeea9410117

Observation 0b6133dd-e909-4fd0-8b22-4429410d96ad · inbound

DCMI: A Differential Calibration Membership Inference Attack Against Retrieval-Augmented Generation cites this paper.

DCMI: A Differential Calibration Membership Inference Attack Against Retrieval-Augmented Generation On the Importance of Difficulty Calibration in Membership Inference Attacks

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-05T04:42:13.917984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:42:13.917984Z digest=sha256:517e3428c763b04ff2de9efadd21c4043e16c9eaa36ef007d8d915cc7fe8b1d9

Observation 972c079d-e5f8-4f69-a132-87b6b3b48d56 · inbound

A Unified Perspective on Adversarial Membership Manipulation in Vision Models cites this paper.

A Unified Perspective on Adversarial Membership Manipulation in Vision Models On the Importance of Difficulty Calibration in Membership Inference Attacks

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:08:12.965253Z

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.

source=pdf_text observed=2026-05-13T20:05:32.965273Z digest=sha256:799f2270843f1ff234afa06cb7363626e50afbff25b6a352d98ca74cea1eac19

Observation eb265015-9425-4cbf-912b-cf2c788d1950 · inbound

Generalization and Membership Inference Attack a Practical Perspective cites this paper.

Generalization and Membership Inference Attack a Practical Perspective On the Importance of Difficulty Calibration in Membership Inference Attacks

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:46:27.188244Z

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.

source=pdf_text observed=2026-05-10T02:56:05.853278Z digest=sha256:dbc7660f0bc60b0f60086b8eda8de6fc657350cc46ae2c481ff5b3e95a055e1a

Observation 57346f11-721d-4762-9f69-22b934301e7d · inbound

Have You Ever Seen Them? Entity-level Membership Inference through Interrogating Large Language Models cites this paper.

Have You Ever Seen Them? Entity-level Membership Inference through Interrogating Large Language Models On the Importance of Difficulty Calibration in Membership Inference Attacks

Reference 70

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:59:46.019261Z

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.

source=pdf_text observed=2026-06-26T08:18:08.641691Z digest=sha256:ff6450919680ef9aba8e05466c12ef6b0b4cc0f9ae89688f672157688dec6a60

Observation 8327fede-31b1-472c-9738-a8eee14090ad · inbound

Reference-Based Distillation Detection in LLMs cites this paper.

Reference-Based Distillation Detection in LLMs On the Importance of Difficulty Calibration in Membership Inference Attacks

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T17:39:28.270033Z digest=sha256:26955901753a9ba2d31b1ffc84f8cf5423003007bf53e1fe0cb00cb881f550bc