Paper Citation Record · LEDGER

Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2308.15709.

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

pith.paper-citation-record.v1
2308.15709 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:21:36.055933Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T06:02:23.226786Z

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 048d57b2-d711-4e52-9682-833600eeef8d · inbound

A Comprehensive Study of Shapley Value in Data Analytics cites this paper.

A Comprehensive Study of Shapley Value in Data Analytics Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation

Reference 154

Resolution: unresolved; no resolver link, observed 2026-08-12T04:21:36.055933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 039990cf-8fc8-4bdc-a017-be001edec789 · inbound

Capturing the Temporal Dependence of Training Data Influence cites this paper.

Capturing the Temporal Dependence of Training Data Influence Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T17:02:34.006242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2e36c3a-13e9-443c-a920-602ae17d4a42 · inbound

Counterfactual Explanation of Shapley Value in Data Coalitions cites this paper.

Counterfactual Explanation of Shapley Value in Data Coalitions Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T21:11:18.068310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31b6ea89-a0b3-442b-9513-324f90d6a84b · inbound

Local Shapley: Model-Induced Locality and Optimal Reuse in Data Valuation cites this paper.

Local Shapley: Model-Induced Locality and Optimal Reuse in Data Valuation Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T05:59:57.712034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9906045f-9976-42b6-89be-7edda8f2ee7f · inbound

Is Data Shapley Not Better than Random in Data Selection? Ask NASH cites this paper.

Is Data Shapley Not Better than Random in Data Selection? Ask NASH Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:21:18.883369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 19eff0bb-04be-4327-8d2c-f5d083616f2e · inbound

Is Data Shapley Not Better than Random in Data Selection? Ask NASH cites this paper.

Is Data Shapley Not Better than Random in Data Selection? Ask NASH Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:02:23.228973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.