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Paper Citation Record · LEDGER

Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2110.14049.

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

pith.paper-citation-record.v1
2110.14049 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:57:31.242276Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T21:35:04.330897Z

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 12979f4c-bff5-4967-9daa-30d1f48d5ba1 · inbound

On the Usage of Gaussian Process for Efficient Data Valuation cites this paper.

On the Usage of Gaussian Process for Efficient Data Valuation Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T10:57:31.242276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:57:31.242276Z digest=sha256:f07665f73a5bc6de0d914e879d6f823b15f9f5e9d310961bf67937dda495314d

Observation 225dde72-fbcc-4c82-829e-7a4a5bc7c117 · inbound

Semivalue-based data valuation is arbitrary and gameable cites this paper.

Semivalue-based data valuation is arbitrary and gameable Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T00:56:03.125476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:56:03.125476Z digest=sha256:6128a8782c0ded17658f3f37e6e0feceb92c7324ac5f07e2acb79e0de6274c9c

Observation 9fba24f0-2f8e-44fd-8e67-d78a9b0a1546 · inbound

KAIROS: Scalable Model-Agnostic Data Valuation cites this paper.

KAIROS: Scalable Model-Agnostic Data Valuation Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T21:41:13.862021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:41:13.862021Z digest=sha256:0de90193994ed285279bf74f9f1d28a9b152d8a18c7167730a1bffacf72c22b8

Observation 6faa665d-c973-4992-804a-acd4a4577cab · inbound

In-Run Data Shapley for Adam Optimizer cites this paper.

In-Run Data Shapley for Adam Optimizer Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-03T06:10:20.128537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:10:20.128537Z digest=sha256:89a05b15bc43e9650749d3e4f96c9d2af7ccc159cfdbf4fc324ae7327e5eebbc

Observation 07e4c6bb-f14a-4aa0-9efd-2d7387ff6d09 · inbound

Generalized Priority-Aware Shapley Value cites this paper.

Generalized Priority-Aware Shapley Value Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:35:04.332293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T21:32:53.647020Z digest=sha256:e0c1fa85319f29f9e937755f885d4c87f1ec09b4ade3e75096cf196c3d04241e

Observation 39248ba3-4be3-4f44-90c7-702a555ba649 · inbound

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning cites this paper.

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:13:59.738274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T06:09:45.435627Z digest=sha256:c8823c4be1fd55a8e6920ae4fda94e869146177d7513f0de3f7080d94476cda5

Observation 24a58c22-771f-46db-a815-bfa295cdff12 · inbound

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning cites this paper.

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-22T10:11:22.932483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T10:10:13.980897Z digest=sha256:e40c35f004003e23343f959935a2c4c32b301ece334a774e273ff7de58adda5c

Observation fdda9d7d-bbe2-4b01-a488-694bdcd5f122 · inbound

CHRONOS: Temporally-Aware Multi-Agent Coordination for Evolving Data Marketplaces cites this paper.

CHRONOS: Temporally-Aware Multi-Agent Coordination for Evolving Data Marketplaces Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-25T02:15:14.139617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T02:14:13.160967Z digest=sha256:7ae4499a93c9568fa5cae2ddf9715dd30470a143f4f9cca09b5e35e4a2e76bfc

Observation 513975be-9e25-4384-87e4-8d336539d124 · inbound

An Asymptotic Analysis of the Shapley Value for Dataset Valuation cites this paper.

An Asymptotic Analysis of the Shapley Value for Dataset Valuation Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-12T02:56:23.522332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:56:23.522332Z digest=sha256:d5cf94a34775ab09803fb94c3493d9299b393cd701caa66e2d496c6007276a7e

Observation 6770fb4c-67f0-4a6a-92b2-e7d1e18caf52 · inbound

Validation-Induced Shapley Shifts: How Validation Structure Distorts Data Valuation cites this paper.

Validation-Induced Shapley Shifts: How Validation Structure Distorts Data Valuation Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-12T00:46:20.409088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T00:46:20.409088Z digest=sha256:78d0bef502f7749fd49f061ec06e5274bd85dcf5e732b10317b6721c0ae160b1