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Paper Citation Record · LEDGER

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures

As of 12 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2604.26266.

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

pith.paper-citation-record.v1
2604.26266 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T12:41:00.667848Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

39 of 39 outbound references displayed

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  • unresolved3
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1069d355-004c-4c1c-ba8e-51c7a48ec13c · outbound

This paper cites Explaining individual predictions when features are dependent: More accurate approximations to shapley values.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Explaining individual predictions when features are dependent: More accurate approximations to shapley values

Reference 1

Resolution
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Source-reported events for the cited work

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Observation fdee3cb0-e94d-4a69-8bc0-366954ec8132 · outbound

This paper cites an unresolved cited work.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Unresolved cited work

Reference 2

Resolution
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Source-reported events for the cited work

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Observation ab49b5ee-ec6d-4f02-a4df-7243289b6235 · outbound

This paper cites Factorizing changes in energy and environmental indicators through decomposition.Energy, 23(6):489–495.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Factorizing changes in energy and environmental indicators through decomposition.Energy, 23(6):489–495

Reference 3

Resolution
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Observation 9ca57374-7191-41aa-b05f-90a3cd762a3a · outbound

This paper cites A logarithmic mean divisia index decomposition of co 2 emissions from energy use in romania.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures A logarithmic mean divisia index decomposition of co 2 emissions from energy use in romania

Reference 4

Resolution
verified exact
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Observation 771c2f72-550e-43f8-b1a6-d532ff04b808 · outbound

This paper cites Adtributor: Rev- enue debugging in advertising systems.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Adtributor: Rev- enue debugging in advertising systems

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 2026-08-12T06:34:41.77262+00:00.

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Observation 3f4fe381-cce3-47e4-bdec-12803c45804a · outbound

This paper cites Causal structure-based root cause analysis of outliers.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Causal structure-based root cause analysis of outliers

Reference 6

Resolution
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Observation e3d2c244-8bc6-4a4f-b0fe-91f666a56a80 · outbound

This paper cites Covert, Scott M.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Covert, Scott M

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation fb0165f1-bd2f-42b2-be01-c1aeb6b0650e · outbound

This paper cites Lundberg, and Su-In Lee.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Lundberg, and Su-In Lee

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 4198448c-73ad-45e9-b94d-6c4326d49b0a · outbound

This paper cites 1973 berkeley graduate admissions data.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures 1973 berkeley graduate admissions data

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 2026-08-12T06:34:41.77262+00:00.

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Observation abdab2dc-cf9f-4596-b406-d8a7c04dbfcb · outbound

This paper cites Root cause analysis of failures in microservices through causal discovery.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Root cause analysis of failures in microservices through causal discovery

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 1092bb70-40c7-43fb-9a98-719fb8f387fc · outbound

This paper cites Feature relevance quantification in explainable ai: A causal perspective.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Feature relevance quantification in explainable ai: A causal perspective

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 980a14a3-afc3-4658-8ee8-b96ab1d4f077 · outbound

This paper cites Fastshap: Real-time shapley value estimation.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Fastshap: Real-time shapley value estimation

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 32f193b9-b954-44f4-a1eb-75d1fccb70d9 · outbound

This paper cites Autoroot: A novel fault localization schema of multi-dimensional root causes.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Autoroot: A novel fault localization schema of multi-dimensional root causes

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 9a7eb6f2-bd9f-401d-80ea-2f2f33d3b82e · outbound

This paper cites Riskloc: Localization of multi-dimensional root causes by weighted risk.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Riskloc: Localization of multi-dimensional root causes by weighted risk

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation bc1b94d8-5338-4f04-9419-98fff8fb1aaf · outbound

This paper cites RiskLoc: Localization of Multi-dimensional Root Causes by Weighted Risk.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures RiskLoc: Localization of Multi-dimensional Root Causes by Weighted Risk

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 725c538b-8df5-4d5c-b490-fc0e43fa3505 · outbound

This paper cites Causal inference-based root cause analysis for online service systems with intervention recognition.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Causal inference-based root cause analysis for online service systems with intervention recognition

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 2026-08-12T06:34:41.77262+00:00.

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Observation 30acb29c-2b3d-47e2-988e-57293f4ffc53 · outbound

This paper cites Generic and robust root cause localization for multi-dimensional data in online service systems.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Generic and robust root cause localization for multi-dimensional data in online service systems

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 2026-08-12T06:34:41.77262+00:00.

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Observation e10503f0-ed8c-4bb7-9ac5-9f3872086584 · outbound

This paper cites idice: Prob- lem identification for emerging issues.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures idice: Prob- lem identification for emerging issues

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 2026-08-12T06:34:41.77262+00:00.

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Observation 66211e5e-007a-4b91-8c5e-fa2485be0d90 · outbound

This paper cites A unified approach to interpreting model predic- tions.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures A unified approach to interpreting model predic- tions

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 56abb62d-bad5-41db-9ea6-2c54bf41c884 · outbound

This paper cites Lundberg, Gabriel Erion, Hugh Chen, Alex DeGrave, Jordan M.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Lundberg, Gabriel Erion, Hugh Chen, Alex DeGrave, Jordan M

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 2026-08-12T06:34:41.77262+00:00.

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Observation fb7f3784-1fc6-408f-b027-68ba99c9dc33 · outbound

This paper cites Lundberg, Gabriel G.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Lundberg, Gabriel G

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b6004477-eae6-48ef-be70-baadfb8b8e58 · outbound

This paper cites Anomaly detection and fault localization an automated process for advertising systems, 1 2018.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Anomaly detection and fault localization an automated process for advertising systems, 1 2018

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 2026-08-12T06:34:41.77262+00:00.

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Observation 4a844c32-94d4-477d-a239-d7a920c91ce5 · outbound

This paper cites why should i trust you?.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures why should i trust you?

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e3481946-d422-49aa-bc35-09a9641c5c70 · outbound

This paper cites The cascading analysts algorithm.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures The cascading analysts algorithm

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation deb471ef-7f22-4f03-a7a5-49a2eeebf612 · outbound

This paper cites an unresolved cited work.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Unresolved cited work

Reference 25

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 87d6d569-bd92-4a93-9e66-92ce10c01f25 · outbound

This paper cites Explaining differences in multidimensional aggregates.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Explaining differences in multidimensional aggregates

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d9009b98-3fb1-4b38-a30d-733a5b01c96d · outbound

This paper cites idiff: Informative summarization of differences in multidi- mensional aggregates.Data Mining and Knowledge Discovery, 5(4):255–276, 10 2001.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures idiff: Informative summarization of differences in multidi- mensional aggregates.Data Mining and Knowledge Discovery, 5(4):255–276, 10 2001

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 430f13b6-7045-4856-b93b-c5b5d90816c0 · outbound

This paper cites A value for n-person games.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures A value for n-person games

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation cc5c67c3-d584-4d95-9558-900b90a2757b · outbound

This paper cites an unresolved cited work.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-05-27T06:33:41.723043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ae58cbcd-d352-4161-9a73-261576ab3db9 · outbound

This paper cites Learning important features through propagating activation differences.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Learning important features through propagating activation differences

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T06:33:41.694660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T12:41:00.667848Z digest=sha256:d781f84568dc9ddd8fec4c0921f700c71163d7185d80aa0685c9becfa753250b

Observation 980152fa-2e9b-46b1-a2ac-383b0af2e9df · outbound

This paper cites Robust anomaly clue localization of multi-dimensional derived measure for online video services.IEEE Transactions on Services Computing, 16(2):1387–1401.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Robust anomaly clue localization of multi-dimensional derived measure for online video services.IEEE Transactions on Services Computing, 16(2):1387–1401

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T06:33:41.700812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T12:41:00.667848Z digest=sha256:45d27b8df057b2645f6e826f7b52bb3dc85a03b22d06e789767f72b0d8a09f50

Observation e125e245-f794-4f7d-874c-22d3ccf268d9 · outbound

This paper cites Hotspot: Anomaly localization for additive kpis with multi-dimensional attributes.IEEE Access, 6:10909–10923.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Hotspot: Anomaly localization for additive kpis with multi-dimensional attributes.IEEE Access, 6:10909–10923

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T06:33:41.644992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ceecbbab-1912-4f91-81bd-35244ccf53e3 · outbound

This paper cites The many shapley values for model explanation.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures The many shapley values for model explanation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T06:33:41.659338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T12:41:00.667848Z digest=sha256:9d492878023d7b5a54e6829eac69782430199f9badcff3c299eb9341f64332c5

Observation b0fcb814-ec5e-4ae8-9f8e-5a8293cdb65e · outbound

This paper cites Axiomatic attribution for deep networks.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Axiomatic attribution for deep networks

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T06:33:41.655769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T12:41:00.667848Z digest=sha256:3bd8db0e50a81a620c368ef9de7d5eec619c162fbb11d05eba17b09f1a3e76ec

Observation 8c4ef143-74bb-4567-9d85-04ed329ba79b · outbound

This paper cites RADICE: Causal Graph Based Root Cause Analysis for System Performance Diagnostic.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures RADICE: Causal Graph Based Root Cause Analysis for System Performance Diagnostic

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:11:25.639271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T12:41:00.667848Z digest=sha256:cfe64c2acc35be43de81089e7d279fb3506556abe6b35e9a6da56bd2fc573438

Observation cabc86e5-720f-412c-a2f9-e50e33a04b9d · outbound

This paper cites Incremental causal graph learning for online root cause analysis.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Incremental causal graph learning for online root cause analysis

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T06:33:41.652300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T12:41:00.667848Z digest=sha256:4b9e9ed646985a56498f254f32077506556c5b72759cf705ee04a11699cc4886

Observation b16e027f-24fd-4022-81b6-4dffa78b3572 · outbound

This paper cites Cmmd: Cross-metric multi-dimensional root cause analysis.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Cmmd: Cross-metric multi-dimensional root cause analysis

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T06:33:41.648465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T12:41:00.667848Z digest=sha256:fa6caaec04a7af6cf01ab36f3be7749c33f407d4ea02ce8b94ab3e071847d683

Observation 2df3d8d4-d436-415d-bd0b-83d50962c3b8 · outbound

This paper cites Fast treeshap: Accelerating shap value computation for trees.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Fast treeshap: Accelerating shap value computation for trees

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T06:33:41.666750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T12:41:00.667848Z digest=sha256:8c2990889db425be41f112b4834509402ab459f9abab27c5e9a508c760a5bf16

Observation 1fa51248-00fa-482a-afff-af70a0297526 · outbound

This paper cites Mulan: Multi- modal causal structure learning and root cause analysis for microservice systems.

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures Mulan: Multi- modal causal structure learning and root cause analysis for microservice systems

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T06:33:41.697940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T12:41:00.667848Z digest=sha256:5ac77f2d8383eb77a1448e3915936dff33407ad0568643001abfd34774fb7ac6

Pith citing papers

No inbound Pith citation observations are available.