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Paper Citation Record · LEDGER

The Shapley Value in Machine Learning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2202.05594.

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

pith.paper-citation-record.v1
2202.05594 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:38:49.357527Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T11:43:23.538852Z

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 13d03fe3-8d9c-4732-89f2-b00706f0b7c4 · inbound

Dual Interpretation of Machine Learning Forecasts cites this paper.

Dual Interpretation of Machine Learning Forecasts The Shapley Value in Machine Learning

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-11T13:32:07.571033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:32:07.571033Z digest=sha256:640caef9206d69f1499bfb03d4ad73f5a58430753e83a0fd28fa33d21b89ea0f

Observation 050f9734-cc16-4108-8e26-606092c20766 · inbound

Towards Explainable Spoofed Speech Attribution and Detection:a Probabilistic Approach for Characterizing Speech Synthesizer Components cites this paper.

Towards Explainable Spoofed Speech Attribution and Detection:a Probabilistic Approach for Characterizing Speech Synthesizer Components The Shapley Value in Machine Learning

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-08T23:48:28.919718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:48:28.919718Z digest=sha256:cc5aac7de8b7bb2160d4a617feaf31432f8291b3e4fd51e56f0ed4d0b17e2a02

Observation 752c2626-c114-4265-b50a-7a9e04fdc4d5 · inbound

Augmenting the availability of historical GDP per capita estimates through machine learning cites this paper.

Augmenting the availability of historical GDP per capita estimates through machine learning The Shapley Value in Machine Learning

Reference 115

Resolution
unresolved
no resolver link, observed 2026-08-15T21:38:49.357527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:38:49.357527Z digest=sha256:f49dd2673456fa7332a596776ac8c2928d1b9cd3c67881c3421d5b321d045d9a

Observation c20921f9-af41-4933-b83a-1d42e65231ab · inbound

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning cites this paper.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning The Shapley Value in Machine Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T21:43:07.521517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:43:07.521517Z digest=sha256:2375fdaac9b6ecdf8eb5ec668e3a66e90411eba0048f3be831e55772c03d94d3

Observation c7c09581-0517-498b-97f9-4ca9134c32af · inbound

Learning Minimal Representations of Fermionic Ground States cites this paper.

Learning Minimal Representations of Fermionic Ground States The Shapley Value in Machine Learning

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-03T16:50:12.869269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:50:12.869269Z digest=sha256:030079d01c0555ea429bc433b967167d4f6804fd1f37cdd5a71c24c187882fcf

Observation ba4dfc66-01fc-4aeb-bf3e-fc9287dcf581 · inbound

Hive: A Multi-Agent Infrastructure for Algorithm- and Task-Level Scaling cites this paper.

Hive: A Multi-Agent Infrastructure for Algorithm- and Task-Level Scaling The Shapley Value in Machine Learning

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:36:36.681647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T06:31:36.776819Z digest=sha256:61ffae227d4b2bfd785f07621968e8ead4fd8baea480e179a4aadc84cd5ab7e3

Observation 8d4ed7b3-3060-42fe-b92f-8b71bd11cdc7 · inbound

SwarmHarness: Skill-Based Task Routing via Decentralized Incentive-Aligned AI Agent Networks cites this paper.

SwarmHarness: Skill-Based Task Routing via Decentralized Incentive-Aligned AI Agent Networks The Shapley Value in Machine Learning

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-06-29T11:43:23.540737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T11:41:30.827427Z digest=sha256:3c55a483e41812f910921cc2eb097a8559b16530289b40072adf995710164d7b