Paper Citation Record · LEDGER

Self-Explaining Segment Trees: A KPI-Conditioned Segmentation Framework for Business Analytics with Node-Level Explanation via Recursive Subspace Partitioning

As of 13 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2608.08197.

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

pith.paper-citation-record.v1
2608.08197 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:20:53.114122Z

measured 15 of 15 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

15 of 15 outbound references displayed

verified exact1
verified fuzzy9
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 27afd890-250a-423d-bdfb-0e162120d5e2 · outbound

This paper cites Sarawagi, R.

Self-Explaining Segment Trees: A KPI-Conditioned Segmentation Framework for Business Analytics with Node-Level Explanation via Recursive Subspace Partitioning Sarawagi, R

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:20:53.362850Z

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.

Observation f9fa5996-97d0-4c7d-8bde-9647b56e9577 · outbound

This paper cites Sarawagi.

Self-Explaining Segment Trees: A KPI-Conditioned Segmentation Framework for Business Analytics with Node-Level Explanation via Recursive Subspace Partitioning Sarawagi

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:20:53.349521Z

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.

Observation 891c30e6-e931-4501-939c-8781f7b703db · outbound

This paper cites Wu and S.

Self-Explaining Segment Trees: A KPI-Conditioned Segmentation Framework for Business Analytics with Node-Level Explanation via Recursive Subspace Partitioning Wu and S

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:20:53.334861Z

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.

Observation 703d5e39-fa09-466b-8eff-cbaee91e4092 · outbound

This paper cites Joglekar, H.

Self-Explaining Segment Trees: A KPI-Conditioned Segmentation Framework for Business Analytics with Node-Level Explanation via Recursive Subspace Partitioning Joglekar, H

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:20:53.320636Z

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.

Observation 5ea88ed3-3e77-4ad9-884d-07577d5928fa · outbound

This paper cites an unresolved cited work.

Self-Explaining Segment Trees: A KPI-Conditioned Segmentation Framework for Business Analytics with Node-Level Explanation via Recursive Subspace Partitioning Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-12T00:20:53.305538Z

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.

Observation 73c8e9dd-9f7b-4779-9d49-a63e45713645 · outbound

This paper cites Duivesteijn, A.

Self-Explaining Segment Trees: A KPI-Conditioned Segmentation Framework for Business Analytics with Node-Level Explanation via Recursive Subspace Partitioning Duivesteijn, A

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:20:53.290714Z

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.

Observation 93f855cf-f10e-41de-852e-2c9eba556b8b · outbound

This paper cites Lemmerich, M.

Self-Explaining Segment Trees: A KPI-Conditioned Segmentation Framework for Business Analytics with Node-Level Explanation via Recursive Subspace Partitioning Lemmerich, M

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:20:53.277627Z

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.

Observation faf5f0f1-9a53-42d4-9882-583c51e6e56c · outbound

This paper cites Moshkovitz, S.

Self-Explaining Segment Trees: A KPI-Conditioned Segmentation Framework for Business Analytics with Node-Level Explanation via Recursive Subspace Partitioning Moshkovitz, S

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:20:53.262860Z

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.

Observation bc50bfe3-893e-40ab-a754-72419a01ebcc · outbound

This paper cites Near-optimal Algorithms for Explainable k-Medians and k-Means.

Self-Explaining Segment Trees: A KPI-Conditioned Segmentation Framework for Business Analytics with Node-Level Explanation via Recursive Subspace Partitioning Near-optimal Algorithms for Explainable k-Medians and k-Means

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-12T00:20:53.177445Z

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.

Observation c9098c1d-68ee-4f02-bf1d-be5d9349265c · outbound

This paper cites Interpretable Clustering: A Survey.

Self-Explaining Segment Trees: A KPI-Conditioned Segmentation Framework for Business Analytics with Node-Level Explanation via Recursive Subspace Partitioning Interpretable Clustering: A Survey

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T00:20:53.092590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dec8719a-213f-4665-9f9c-8f0a5ce99f0a · outbound

This paper cites Aunified approachtointerpretingmodelpredictions.InAdvances in Neural Information Processing Systems (NIPS), volume 30, pages 4765–4774, 2017.

Self-Explaining Segment Trees: A KPI-Conditioned Segmentation Framework for Business Analytics with Node-Level Explanation via Recursive Subspace Partitioning Aunified approachtointerpretingmodelpredictions.InAdvances in Neural Information Processing Systems (NIPS), volume 30, pages 4765–4774, 2017

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:20:53.248217Z

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.

Observation b1876a1f-b3d8-4086-b063-85e2fade3c61 · outbound

This paper cites an unresolved cited work.

Self-Explaining Segment Trees: A KPI-Conditioned Segmentation Framework for Business Analytics with Node-Level Explanation via Recursive Subspace Partitioning Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T00:20:53.101646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ff89307-e69d-41cf-90bd-1e708f55ec3a · outbound

This paper cites an unresolved cited work.

Self-Explaining Segment Trees: A KPI-Conditioned Segmentation Framework for Business Analytics with Node-Level Explanation via Recursive Subspace Partitioning Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-12T00:20:53.223404Z

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.

Observation 38cd509f-2996-454d-a735-8246d427faab · outbound

This paper cites Pedregosa, G.

Self-Explaining Segment Trees: A KPI-Conditioned Segmentation Framework for Business Analytics with Node-Level Explanation via Recursive Subspace Partitioning Pedregosa, G

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:20:53.207044Z

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.

Observation e38e2f25-bb22-46b1-ad03-2fbd73b48c15 · outbound

This paper cites an unresolved cited work.

Self-Explaining Segment Trees: A KPI-Conditioned Segmentation Framework for Business Analytics with Node-Level Explanation via Recursive Subspace Partitioning Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-12T00:20:53.192957Z

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.

Pith citing papers

No inbound Pith citation observations are available.