Paper Citation Record · LEDGER

Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2404.02936.

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

pith.paper-citation-record.v1
2404.02936 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 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 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:11:35.067065Z

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 f43d9dd4-aadf-4745-abd3-8350063f0700 · inbound

How Contaminated Is Your Benchmark? Quantifying Dataset Leakage in Large Language Models with Kernel Divergence cites this paper.

How Contaminated Is Your Benchmark? Quantifying Dataset Leakage in Large Language Models with Kernel Divergence Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-09T18:11:35.067065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b20cd380-7302-4846-bcfb-40d6757d1a3e · inbound

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models cites this paper.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T04:11:59.861601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5207c1a4-dda9-4edf-9908-bf130e0cc506 · inbound

DUSK: Do Not Unlearn Shared Knowledge cites this paper.

DUSK: Do Not Unlearn Shared Knowledge Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:25.147132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 548de2d1-4350-4c21-b212-3e1c67f612a8 · inbound

Vid-SME: Membership Inference Attacks against Large Video Understanding Models cites this paper.

Vid-SME: Membership Inference Attacks against Large Video Understanding Models Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T12:50:06.177607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d64ba19-d40c-4db7-b05e-9791aa2bd424 · inbound

Membership Inference Attacks on Sequence Models cites this paper.

Membership Inference Attacks on Sequence Models Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:30.967563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54e7395b-2eba-4243-8bec-cb458cf5e60b · inbound

MrM: Black-Box Membership Inference Attacks against Multimodal RAG Systems cites this paper.

MrM: Black-Box Membership Inference Attacks against Multimodal RAG Systems Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:16.451624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c09842f-e619-420a-9d09-bbaf013e431f · inbound

SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks cites this paper.

SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T04:33:17.063199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27c22f6c-8553-4cf2-9002-a8896860bd67 · 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 Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T15:15:21.428831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34c00687-a372-46be-8ae7-bcb5347cb0e3 · inbound

Investigating Training Data Detection in AI Coders cites this paper.

Investigating Training Data Detection in AI Coders Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T14:51:53.839169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 034fc69a-6222-4535-ab99-2cf42a1c8c0d · inbound

Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis cites this paper.

Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T05:29:27.157115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8052ae0b-864b-4d1b-a8ad-db208d0d0cdc · inbound

Membership Inference Attacks on Tokenizers of Large Language Models cites this paper.

Membership Inference Attacks on Tokenizers of Large Language Models Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-04T11:23:22.454938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36584a79-e6c1-4784-b819-5ccbfe15c863 · inbound

LLM generation novelty through the lens of semantic similarity cites this paper.

LLM generation novelty through the lens of semantic similarity Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-04T07:22:09.311136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 625fbecc-31a9-4d15-8ad8-89a18e076274 · inbound

Auditing Data Membership in Reinforcement Learning With Verifiable Rewards cites this paper.

Auditing Data Membership in Reinforcement Learning With Verifiable Rewards Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:40:17.766089Z

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 ceca5c65-e301-4a5f-a529-51ac3e4385ff · inbound

Lost in Modality: Evaluating the Effectiveness of Text-Based Membership Inference Attacks on Large Multimodal Models cites this paper.

Lost in Modality: Evaluating the Effectiveness of Text-Based Membership Inference Attacks on Large Multimodal Models Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:44:50.219620Z

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 a7adb287-207d-4551-b810-bc240ae08fef · inbound

Learning the Signature of Memorization in Autoregressive Language Models cites this paper.

Learning the Signature of Memorization in Autoregressive Language Models Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:53:11.478145Z

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 df7fb1b4-698c-4156-b89d-f663c5452565 · inbound

TRACER: A Semantic-Aware Framework for Fine-Grained Contamination Detection in Code LLMs cites this paper.

TRACER: A Semantic-Aware Framework for Fine-Grained Contamination Detection in Code LLMs Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:34:47.938818Z

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 00cc933f-07da-414e-b0a8-d626ea453f1b · inbound

Averaged Evaluation Masks Capability Trade-Offs: Multi-Source Calibration for High-Sparsity LLM Pruning cites this paper.

Averaged Evaluation Masks Capability Trade-Offs: Multi-Source Calibration for High-Sparsity LLM Pruning Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:56:27.596710Z

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 e07449e6-5615-4e5d-830a-d4a80a3db36c · inbound

Averaged Evaluation Masks Capability Trade-Offs: Multi-Source Calibration for High-Sparsity LLM Pruning cites this paper.

Averaged Evaluation Masks Capability Trade-Offs: Multi-Source Calibration for High-Sparsity LLM Pruning Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T12:32:56.389581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0c2d51d-8867-4505-9a6a-2d199d838521 · inbound

MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models cites this paper.

MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:57:23.329479Z

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 f02e6a18-0bbf-4e9c-b300-0dbdb7bc3c4f · inbound

Amplifying Membership Signal Through Chained Regeneration cites this paper.

Amplifying Membership Signal Through Chained Regeneration Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T06:25:26.760412Z

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 3d34a930-1de0-4218-a169-0891cc3ef470 · inbound

Implicit Reasoning Steering via Concept Chaining cites this paper.

Implicit Reasoning Steering via Concept Chaining Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 188

Resolution: unresolved; no resolver link, observed 2026-08-02T02:44:37.193909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c0af4f0-f221-4eca-aa36-a9b188f75ecc · inbound

Crossing the Margin Cliff: Toward Relearn-Robust LLM Unlearning via Margin Calibration cites this paper.

Crossing the Margin Cliff: Toward Relearn-Robust LLM Unlearning via Margin Calibration Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T00:35:50.513439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.