Paper Citation Record · LEDGER

Dataset Inference: Ownership Resolution in Machine Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2104.10706.

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

pith.paper-citation-record.v1
2104.10706 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:00:16.425289Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:49:57.326700Z

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 f3bbaf96-184e-4e06-8787-0b15d8bd053c · inbound

A2-DIDM: Privacy-preserving Accumulator-enabled Auditing for Distributed Identity of DNN Model cites this paper.

A2-DIDM: Privacy-preserving Accumulator-enabled Auditing for Distributed Identity of DNN Model Dataset Inference: Ownership Resolution in Machine Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:15:54.324233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f41ed96e-afaf-490f-b3b6-d3e85047ec92 · inbound

Dataset Ownership Verification in Contrastive Pre-trained Models cites this paper.

Dataset Ownership Verification in Contrastive Pre-trained Models Dataset Inference: Ownership Resolution in Machine Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T13:21:27.589617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17816435-7659-4e44-97ec-8696686b603a · inbound

Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data Curation cites this paper.

Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data Curation Dataset Inference: Ownership Resolution in Machine Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T06:06:17.561603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf76bd98-6da9-4cd7-a9fa-04cd8643fcaf · inbound

Has My System Prompt Been Used? Large Language Model Prompt Membership Inference cites this paper.

Has My System Prompt Been Used? Large Language Model Prompt Membership Inference Dataset Inference: Ownership Resolution in Machine Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T19:57:45.251712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90184418-f9c2-43be-a068-131de67f3e7b · inbound

Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings cites this paper.

Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings Dataset Inference: Ownership Resolution in Machine Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:23.777814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0bec78b-5abf-4f04-b142-b25cbf44dff8 · inbound

MISLEADER: Defending against Model Extraction with Ensembles of Distilled Models cites this paper.

MISLEADER: Defending against Model Extraction with Ensembles of Distilled Models Dataset Inference: Ownership Resolution in Machine Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:45.809923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acc3ec51-bf55-4f42-847a-7dbaad120c60 · inbound

Dataset Ownership Verification for Pre-trained Masked Models cites this paper.

Dataset Ownership Verification for Pre-trained Masked Models Dataset Inference: Ownership Resolution in Machine Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:37.238849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dede76d7-26b6-4159-91ab-c86865eb0284 · inbound

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models cites this paper.

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models Dataset Inference: Ownership Resolution in Machine Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T22:16:20.633994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 604e4496-e37e-4cab-9ee5-26fb5d0d574e · inbound

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives cites this paper.

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Dataset Inference: Ownership Resolution in Machine Learning

Reference 134

Resolution: unresolved; no resolver link, observed 2026-08-05T18:12:37.487732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2a2d075-69ed-45b2-b58d-026cf424c446 · inbound

Dataset Ownership in the Era of Large Language Models cites this paper.

Dataset Ownership in the Era of Large Language Models Dataset Inference: Ownership Resolution in Machine Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T04:51:36.887823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e79cc26-6e8e-4630-918c-6d305bfe0198 · inbound

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

Membership Inference Attacks on Tokenizers of Large Language Models Dataset Inference: Ownership Resolution in Machine Learning

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-04T11:23:16.938718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 802b93c0-24e1-4a5f-949b-4f05380ba1a4 · inbound

Landseer: Exploring the Machine Learning Defense Landscape cites this paper.

Landseer: Exploring the Machine Learning Defense Landscape Dataset Inference: Ownership Resolution in Machine Learning

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:33:45.383920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1fd184e9-6ef7-4e9b-a2af-3f9cdaaebefb · inbound

Natural Identifiers for Privacy and Data Audits in Large Language Models cites this paper.

Natural Identifiers for Privacy and Data Audits in Large Language Models Dataset Inference: Ownership Resolution in Machine Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:49:57.328270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8370aef6-eb1c-46a0-bb7f-0c45facfb019 · inbound

Amplifying Membership Signal Through Chained Regeneration cites this paper.

Amplifying Membership Signal Through Chained Regeneration Dataset Inference: Ownership Resolution in Machine Learning

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:45:39.291744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9724a5fc-b01b-48bc-ad7d-8d2716bd15cf · inbound

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle cites this paper.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Dataset Inference: Ownership Resolution in Machine Learning

Reference 154

Resolution: unresolved; no resolver link, observed 2026-08-08T20:00:16.425289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.