Paper Citation Record · LEDGER

TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2407.10114.

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

pith.paper-citation-record.v1
2407.10114 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 2026-08-18T06:34:40.430872+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:17:07.178029Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:05:36.548580Z

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 fa40994f-4b69-4860-a2c4-87a7da7808d0 · inbound

Concept-Level Explainability for Auditing & Steering LLM Responses cites this paper.

Concept-Level Explainability for Auditing & Steering LLM Responses TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T22:17:07.178029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6469d35b-d8d3-440a-9ed1-35c88592f77b · inbound

Can Global XAI Methods Reveal Injected Behaviours in LLMs? SHAP vs Rule Extraction vs RuleSHAP cites this paper.

Can Global XAI Methods Reveal Injected Behaviours in LLMs? SHAP vs Rule Extraction vs RuleSHAP TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T21:01:51.814254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31726c80-ba34-4cd4-a530-a142e66f27e6 · inbound

Towards Reliable and Interpretable Traffic Crash Pattern Prediction and Safety Interventions Using Customized Large Language Models cites this paper.

Towards Reliable and Interpretable Traffic Crash Pattern Prediction and Safety Interventions Using Customized Large Language Models TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:18.644577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84fbbc30-e86c-4816-b44e-6a58d97433d2 · inbound

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

SCAR: Shapley Credit Assignment for More Efficient RLHF TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:48.997944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6073e46-dc18-4b13-80c3-fa598c7ba450 · inbound

Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning cites this paper.

Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:19:45.326569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation add2646e-7d69-4233-913e-8d42a6367d6d · inbound

PLEX: Perturbation-free Local Explanations for LLM-Based Text Classification cites this paper.

PLEX: Perturbation-free Local Explanations for LLM-Based Text Classification TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T18:08:18.243419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 343b1e4b-4811-4a4b-ab2f-f904102ff1ce · inbound

TabSHAP cites this paper.

TabSHAP TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:29:47.637968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1334024b-a28d-4013-ab97-08ace8c2aaa4 · inbound

Investigating Linguistic Steering: An Analysis of Adjectival Effects Across Large Language Model Architectures cites this paper.

Investigating Linguistic Steering: An Analysis of Adjectival Effects Across Large Language Model Architectures TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T09:05:36.550695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fae4b425-25e6-475b-a659-d4894eceb3de · inbound

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning cites this paper.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T14:32:13.036755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 586eee46-2bb3-423e-b169-49c25612d01f · inbound

Model-Agnostic FDR Control via Group Gaussian Mirror and Permutation SHAP cites this paper.

Model-Agnostic FDR Control via Group Gaussian Mirror and Permutation SHAP TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T00:41:02.885617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.