Pith. sign in

Paper Citation Record · LEDGER

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

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:59:57.712034Z

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 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=sha256:728bf3d37652e909c67be3077bc4a882ee57ec90ebcdffcc5d5d4df3cd0c7620

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-12T03:19:15.901522Z digest=sha256:db19f0e3acf0dba141ea71284e9a4f91a94024d142c9f79440d1b117c9ecc5a1

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T06:00:28.613740Z digest=sha256:3673370babdf31ca1f201b776e6e31ba984e56fdbe813270bf745bbd24dd000f