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Paper Citation Record · LEDGER

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution

As of 8 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2506.07229.

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

pith.paper-citation-record.v1
2506.07229 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:46:34.853146Z

measured 25 of 25 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved8
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bea20a21-6f76-4f56-83fb-0625c5acd44e · outbound

This paper cites Rethinking Stability for Attribution-based Explanations.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution Rethinking Stability for Attribution-based Explanations

Reference 1

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1837b195-39a3-4fe8-ac17-6b5b974e2add · outbound

This paper cites Alvarez Melis and T.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution Alvarez Melis and T

Reference 2

Resolution
verified fuzzy
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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.

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Observation c1334e8a-7405-45c7-9423-ab0794740c72 · outbound

This paper cites Bhatt, A.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution Bhatt, A

Reference 3

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verified fuzzy
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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.

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Observation 8af19204-5edd-4b1f-abe7-766424705d31 · outbound

This paper cites Bilodeau, N.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution Bilodeau, N

Reference 4

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verified fuzzy
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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.

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Observation ddd1c4ec-808b-4a4e-a08c-bdf3e373e182 · outbound

This paper cites Chalasani, J.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution Chalasani, J

Reference 5

Resolution
verified fuzzy
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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.

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Observation f0d359e2-eed8-46f4-8f3f-981cc5814e89 · outbound

This paper cites Cortez, A.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution Cortez, A

Reference 6

Resolution
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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.

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Observation 734b5c33-5755-48d1-84fd-a91441e20f90 · outbound

This paper cites Guidotti, A.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution Guidotti, A

Reference 7

Resolution
verified fuzzy
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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.

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Observation 2b6ebb00-39b4-4f4e-8f66-eaf75a015965 · outbound

This paper cites Holzinger, A.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution Holzinger, A

Reference 8

Resolution
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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.

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Observation d7ab193d-1675-4437-99ae-f0cea89e9b9f · outbound

This paper cites Janzing, L.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution Janzing, L

Reference 9

Resolution
verified fuzzy
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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.

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Observation a5813a2e-1f5c-4e48-81e9-461b06fc5cb0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution Adam: A Method for Stochastic Optimization

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T05:46:34.783714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 31c9be8a-5b86-4a91-9f66-cb8c4ae6e740 · outbound

This paper cites Klein, C.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution Klein, C

Reference 11

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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.

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Observation c4ec6664-05b2-4be4-b669-004593788927 · outbound

This paper cites an unresolved cited work.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution Unresolved cited work

Reference 12

Resolution
unresolved
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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.

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Observation bb9a0df3-48ea-47b1-ac50-8e7d94566897 · outbound

This paper cites an unresolved cited work.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution Unresolved cited work

Reference 13

Resolution
unresolved
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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.

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Observation 99139247-fc65-4d72-9229-b0e8c8726140 · outbound

This paper cites an unresolved cited work.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution Unresolved cited work

Reference 14

Resolution
unresolved
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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.

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Observation 31ca74c8-d89e-44c6-8e93-db74596ef5ee · outbound

This paper cites On quantitative aspects of model interpretability.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution On quantitative aspects of model interpretability

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:46:34.807079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e5021f06-a846-4cc1-8649-dcd9066b5595 · outbound

This paper cites Pedregosa, G.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution Pedregosa, G

Reference 16

Resolution
verified fuzzy
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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.

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Observation 905e532e-021d-42fc-b998-28b5fbba3b2c · outbound

This paper cites why should i trust you?.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution why should i trust you?

Reference 17

Resolution
verified fuzzy
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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.

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Observation 6f95473b-6393-458d-83da-cd50550163ee · outbound

This paper cites why should I trust you?.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution why should I trust you?

Reference 18

Resolution
verified fuzzy
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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.

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Observation 833341a3-fb40-49bc-873f-f0641f2f0c96 · outbound

This paper cites an unresolved cited work.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution Unresolved cited work

Reference 19

Resolution
unresolved
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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.

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Observation 46c2008d-3138-46e4-86e8-0d1957304b98 · outbound

This paper cites Slack, S.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution Slack, S

Reference 20

Resolution
verified fuzzy
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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.

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Observation ac1ce3c9-0ebb-41d9-962b-0cd39dcfd93a · outbound

This paper cites Štrumbelj and I.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution Štrumbelj and I

Reference 21

Resolution
verified fuzzy
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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.

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Observation 018db0b9-63f3-4a1e-a5ae-3677d27218ea · outbound

This paper cites Sundararajan, A.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution Sundararajan, A

Reference 22

Resolution
verified fuzzy
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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.

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Observation 8c8f8efa-3a3c-4a31-8c9b-5375d8bc7baf · outbound

This paper cites Tsanas and M.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution Tsanas and M

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:46:34.843645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:46:34.843645Z digest=sha256:4d8a658d8981e4ea9bf944b30df0a8b614d85f73745ccaa1514b00068013176d

Observation 1aaecaad-d5db-470c-874c-958fcd0bd9f3 · outbound

This paper cites Yeh, C.-Y.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution Yeh, C.-Y

Reference 24

Resolution
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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.

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Observation 54613bdd-ebe5-4d1d-85ca-d6860162927e · outbound

This paper cites decision surfaces.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution decision surfaces

Reference 128

Resolution
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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.

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Pith citing papers

No inbound Pith citation observations are available.