Pith. sign in

Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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
  • malformed identifier0
  • metadata mismatch0

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
no resolver link, observed 2026-08-07T05:46:34.740816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:46:34.740816Z digest=sha256:20a6b8d2cecaaed19b87c6a2d1800cbf2c925cfc19cf5ebad9977b4f7107924d

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
raw_fallback, observed 2026-08-07T05:46:35.243014Z

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.

source=pdf_text observed=2026-08-07T05:46:34.746701Z digest=sha256:ba55c703c1693f7320f40a05e2c68a9eb04fe0f06d6a9557dda3006f6c1a8dfc

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:35.229205Z

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.

source=pdf_text observed=2026-08-07T05:46:34.751358Z digest=sha256:4fc188376e4c03aeeb65b07f6f07b69241c3a47d04e9af9d038e424addcc9031

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:35.215166Z

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.

source=pdf_text observed=2026-08-07T05:46:34.756159Z digest=sha256:007654fde187dd0ecdf17b13e17d08ae1630963f32217107759dec7f18a65cfd

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
raw_fallback, observed 2026-08-07T05:46:35.201096Z

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.

source=pdf_text observed=2026-08-07T05:46:34.760511Z digest=sha256:dcba49a33cabc81c24da5a3dde070c17d06db16e8a3c8b9788d8cb9b94c9325e

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
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:35.187075Z

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.

source=pdf_text observed=2026-08-07T05:46:34.765231Z digest=sha256:fe542ae0cfdc14710852be2719eb8633ae02724997304a7e9926ca13a1b2c347

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
raw_fallback, observed 2026-08-07T05:46:35.173222Z

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.

source=pdf_text observed=2026-08-07T05:46:34.770600Z digest=sha256:9b639525a5911bb0e00366f2dfd91a6071bc46fe0dd9d6458d1db571fb57df57

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
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:35.159696Z

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.

source=pdf_text observed=2026-08-07T05:46:34.774901Z digest=sha256:7dbf5c5fb1861920fab96bf0129857b473d52335d286dd6764f9d5c8a17010e2

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
raw_fallback, observed 2026-08-07T05:46:35.145521Z

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.

source=pdf_text observed=2026-08-07T05:46:34.779285Z digest=sha256:b80a65f4fe6ff8219277e69439143f57158c50009f31af1b808bb54615c7ceb1

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.

source=pdf_text observed=2026-08-07T05:46:34.783714Z digest=sha256:1c17455605f0847b8db598f44126e08c63b6c093e7c80118c5988becd192b0ef

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:35.131652Z

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.

source=pdf_text observed=2026-08-07T05:46:34.788527Z digest=sha256:cd95b9cb683b17ee2e9def48216637623d660b9a16f48ccab0dcb86ae68e7094

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
raw_fallback, observed 2026-08-07T05:46:35.117320Z

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.

source=pdf_text observed=2026-08-07T05:46:34.793234Z digest=sha256:cdeb9850230f2cef1bc41ccf112a9e9dd5702551b5d97c6851c6beacbcdea242

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
raw_fallback, observed 2026-08-07T05:46:35.103065Z

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.

source=pdf_text observed=2026-08-07T05:46:34.797994Z digest=sha256:5b49dad542624dee348f5029158ec987ad83b10f91da6255155a7efec6b58efc

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
raw_fallback, observed 2026-08-07T05:46:35.089174Z

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.

source=pdf_text observed=2026-08-07T05:46:34.802285Z digest=sha256:82aea646a2c6815937929830ae915883316ab933f569916631ea3e97647f98b5

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.

source=pdf_text observed=2026-08-07T05:46:34.807079Z digest=sha256:f1fe9e6cf635563c079af72e641262301d72e0902093df50df33d7d8352e6e64

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
raw_fallback, observed 2026-08-07T05:46:35.074725Z

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.

source=pdf_text observed=2026-08-07T05:46:34.811798Z digest=sha256:bb10e663dfcd610b84c280c0540bc4f42b7222519f136a673e71bed3c94f0331

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
raw_fallback, observed 2026-08-07T05:46:35.059716Z

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.

source=pdf_text observed=2026-08-07T05:46:34.816005Z digest=sha256:90a7d97d08b191b907e1ce961ba22b8962450017e0b2c5637c92f65d91d9f9ff

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
raw_fallback, observed 2026-08-07T05:46:35.045571Z

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.

source=pdf_text observed=2026-08-07T05:46:34.820305Z digest=sha256:82b6a0bb6b967ec09d27a047e0f9c63ec5bcfbccb6801cd69f9ef7243fa8c539

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
raw_fallback, observed 2026-08-07T05:46:35.029940Z

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.

source=pdf_text observed=2026-08-07T05:46:34.825048Z digest=sha256:6208831b669522187db09ff3301fd90935590c8ced0016cb83a511055c9256ee

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
raw_fallback, observed 2026-08-07T05:46:35.011756Z

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.

source=pdf_text observed=2026-08-07T05:46:34.830054Z digest=sha256:311afd9c313033e0a53d748b4a51a22442434062210db8d5ae74747d7abafdf8

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
raw_fallback, observed 2026-08-07T05:46:34.996003Z

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.

source=pdf_text observed=2026-08-07T05:46:34.834659Z digest=sha256:fb93e4fae2cc10e5705739b5d483959049f7ef923b5ae0103ee0e53dd7f77b72

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
raw_fallback, observed 2026-08-07T05:46:34.979471Z

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.

source=pdf_text observed=2026-08-07T05:46:34.839182Z digest=sha256:0673aef6eef63326f79ec0a7b2f88e8bfa049231d78cb2ed29839e64585c4dce

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=sha256:82ed3737003caff2a5fc0f5c99e8e7f6feec32960499533ed6e0557c34a145e0

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
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:34.963742Z

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.

source=pdf_text observed=2026-08-07T05:46:34.848156Z digest=sha256:324758a2ca40d5e040aa11b64e17215934a8879ce5b040809c13885db0906698

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
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:34.946848Z

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.

source=pdf_text observed=2026-08-07T05:46:34.853146Z digest=sha256:82f3da6f2528907ef1c2c4949cf4d7877bd11777fa171a55f492d8438190eb14

Pith citing papers

No inbound Pith citation observations are available.