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Paper Citation Record · LEDGER

Explaining Large Language Models Decisions Using Shapley Values

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.01332.

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

pith.paper-citation-record.v1
2404.01332 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:28:06.172872Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:31:08.681400Z

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 1f70cc5b-45b4-4f9f-966e-ce42168097f9 · inbound

CBEval: A framework for evaluating and interpreting cognitive biases in LLMs cites this paper.

CBEval: A framework for evaluating and interpreting cognitive biases in LLMs Explaining Large Language Models Decisions Using Shapley Values

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T22:54:51.488720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:54:51.488720Z digest=sha256:ab9468697276939971be86be0b87ffe092144b8384c5850742d517807590a52f

Observation abf928e9-a18c-499c-a3ee-600ce5deb882 · inbound

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers cites this paper.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Explaining Large Language Models Decisions Using Shapley Values

Reference 121

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:33.118782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:33.118782Z digest=sha256:92376612a1c5fe094e2c80d3310839d36e0f9d9ce2f4508cadaa848ced57b315

Observation dca35289-70b3-431c-8ae7-0b78b4f706d2 · inbound

SCAR: Shapley Credit Assignment for More Efficient RLHF cites this paper.

SCAR: Shapley Credit Assignment for More Efficient RLHF Explaining Large Language Models Decisions Using Shapley Values

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T14:02:51.005077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:02:51.005077Z digest=sha256:ad4cb423189d47ad0578bfebe9dd8b30f80efcb19118dbc5e036303ad9d194ed

Observation f0da83f2-24ce-4ef0-890e-21d24914e3da · inbound

LLM-Based Social Simulations Require a Boundary cites this paper.

LLM-Based Social Simulations Require a Boundary Explaining Large Language Models Decisions Using Shapley Values

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-15T18:28:06.172872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:28:06.172872Z digest=sha256:3fbd2bd4acc4c7c46dd99c16c226bcbb9b94872ebd9d8279ffab6dd3c9d3fe58

Observation c51c42f9-6a4e-4a88-b5ea-ff7a389d4763 · inbound

Digital Gatekeepers: Exploring Large Language Model's Role in Immigration Decisions cites this paper.

Digital Gatekeepers: Exploring Large Language Model's Role in Immigration Decisions Explaining Large Language Models Decisions Using Shapley Values

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:22.049693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:22.049693Z digest=sha256:93b43fc2aebcb360f60ed351618b4e1a859d380671a5204c98468ca14687e165

Observation a3545633-aef4-4840-92e7-6092e7e0fef5 · inbound

More Is Not Always Better: Cross-Component Interference in LLM Agent Scaffolding cites this paper.

More Is Not Always Better: Cross-Component Interference in LLM Agent Scaffolding Explaining Large Language Models Decisions Using Shapley Values

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:31:08.683471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-08T11:48:58.105919Z digest=sha256:47f96b282e49b86a4fc752cbf440d236d42150ac61aa93bcd86c0384b8705c97