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Paper Citation Record · LEDGER

Partition of Unity Neural Networks for Interpretable Classification with Explicit Class Regions

As of 17 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2602.00511.

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

pith.paper-citation-record.v1
2602.00511 v2

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:08:42.214012Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

6 of 6 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f3b3d5b-c724-4b0b-b270-cbb3e6682eaf · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

Partition of Unity Neural Networks for Interpretable Classification with Explicit Class Regions Towards A Rigorous Science of Interpretable Machine Learning

Reference 1989

Resolution
unresolved
no resolver link, observed 2026-08-03T06:08:41.694144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:08:41.694144Z digest=sha256:978f1c4174e7d6822d07df337c999e9d545d5bac8b938c87ca1f9365cb35bd2f

Observation 4274f76f-1764-4361-ae17-80e47a8708f3 · outbound

This paper cites an unresolved cited work.

Partition of Unity Neural Networks for Interpretable Classification with Explicit Class Regions Unresolved cited work

Reference 1991

Resolution
unresolved
no resolver link, observed 2026-08-03T06:08:41.809211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:08:41.809211Z digest=sha256:09ac06c51fef4c70b1cae06d258cc12b5401791f15f92c519cd6f21dc0c86503

Observation b1df88da-bd24-4efb-add9-c7b07e405572 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Partition of Unity Neural Networks for Interpretable Classification with Explicit Class Regions Adam: A Method for Stochastic Optimization

Reference 1994

Resolution
unresolved
no resolver link, observed 2026-08-03T06:08:41.927136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:08:41.927136Z digest=sha256:a186a7cf443dbfe900bba29c47b4a9d929d20fa153f87c0d70f14f802dad0748

Observation 6d8924ff-fb0d-4e04-8c4a-d6596074e9e1 · outbound

This paper cites Yann LeCun, Yoshua Bengio, and Geoffrey Hinton.

Partition of Unity Neural Networks for Interpretable Classification with Explicit Class Regions Yann LeCun, Yoshua Bengio, and Geoffrey Hinton

Reference 1998

Resolution
unresolved
no resolver link, observed 2026-08-03T06:08:42.008698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:08:42.008698Z digest=sha256:0f2461793a66c5110dce8b4d9b745e934fe2ddb23bfb07c67d825a80af05e5d2

Observation 3980faac-101e-42c1-97a6-03357fd8f021 · outbound

This paper cites Partition of unity networks: deep hp-approximation.

Partition of Unity Neural Networks for Interpretable Classification with Explicit Class Regions Partition of unity networks: deep hp-approximation

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-03T06:08:42.094993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:08:42.094993Z digest=sha256:9c0a2923d40b5305aeb1e92e2a01985384d98218bf85b6a40f07ebdcfe47c980

Observation 9fe7a31d-a0f3-49bc-852f-dd2b9004ffb2 · outbound

This paper cites Boundedness of $n$-complements for generalized pairs.

Partition of Unity Neural Networks for Interpretable Classification with Explicit Class Regions Boundedness of $n$-complements for generalized pairs

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-03T06:08:42.214012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:08:42.214012Z digest=sha256:766df0439320dbb54b510c65f1f79d4c00a8b6bd58545107bc4ee30b1120ecfc

Pith citing papers

No inbound Pith citation observations are available.