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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:11:18.068310Z

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 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.

source=pdf_text observed=2026-08-06T21:11:18.068310Z digest=sha256:518eb83b7391a215612651c5756156c4fd8dacbdc312cb2e50f85673394b9df4

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.

source=pdf_text observed=2026-08-04T05:59:57.712034Z digest=sha256:5dd0cde113967348639e6b96d7015f984e565835abb8b0493cc5d83224f780f3

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T03:19:15.901522Z digest=sha256:0d2c43d474ba2bf8d80894ff9f3a2960e0bfc850984137b9b0bb45b9292e2cfc

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-13T06:00:28.613740Z digest=sha256:cb027c1f4508819160009b3d7f0a931e0fd0faab300488ebdfa245438f135a10