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Paper Citation Record · LEDGER

shapiq: Shapley Interactions for Machine Learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.01649.

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

pith.paper-citation-record.v1
2410.01649 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:15:47.683149Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T06:16:15.895014Z

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 5674f8b2-9f5c-4736-8f81-369a0444dba6 · inbound

Which Hyperparameters Matter? A Game-Theoretic Framework for Interpretable Hyperparameter Sensitivity Analysis cites this paper.

Which Hyperparameters Matter? A Game-Theoretic Framework for Interpretable Hyperparameter Sensitivity Analysis shapiq: Shapley Interactions for Machine Learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T22:07:30.456934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:07:30.456934Z digest=sha256:0d8d49b897f5d80a1e429284b9ad02ca4a7536ab6f460981610501e137ba3a8a

Observation d00e922a-b182-428f-b0dd-8ddbb0a64418 · inbound

Tabular foundation models for the estimation of probabilistic quasar photometric redshifts in S-PLUS cites this paper.

Tabular foundation models for the estimation of probabilistic quasar photometric redshifts in S-PLUS shapiq: Shapley Interactions for Machine Learning

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:15:48.420045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:15:47.683149Z digest=sha256:f1d49f12c82ced30c0e09bf6dea695cb63925f994147178815c5b627e1c1792f