Paper Citation Record · LEDGER

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data

As of 23 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2505.00448.

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

pith.paper-citation-record.v1
2505.00448 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:45:24.909810Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

29 of 29 outbound references displayed

verified exact0
verified fuzzy2
unresolved22
parse uncertain0
malformed identifier5
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 605e94de-56b7-4afc-a43b-092f6e5af5fb · outbound

This paper cites Ben-Shachar, Dominique Makowski, Daniel Lüdecke, Indrajeet Patil, Brenton M.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Ben-Shachar, Dominique Makowski, Daniel Lüdecke, Indrajeet Patil, Brenton M

Reference 1

Resolution: malformed identifier; doi_truncated, observed 2026-08-16T04:45:25.010340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 183e1ed5-4c34-477f-8646-e383a80e75cf · outbound

This paper cites an unresolved cited work.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:45:25.376014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 636719d0-9423-47cc-8382-ac096b23818f · outbound

This paper cites an unresolved cited work.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:45:25.364106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a5079065-7d69-416e-bbb0-c88e89e632d8 · outbound

This paper cites an unresolved cited work.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:45:25.351836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3f03a4c2-fb2b-4497-b038-c149793d8bf0 · outbound

This paper cites an unresolved cited work.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:45:25.339113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 72b1edea-04c6-4814-adb4-617fa153723a · outbound

This paper cites an unresolved cited work.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:45:25.326110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 02eb2a75-0b2f-4e7b-9f27-1d50797f2e7c · outbound

This paper cites an unresolved cited work.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:45:25.312281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 474a9414-8940-49a3-91e2-e36f82bf1ae2 · outbound

This paper cites an unresolved cited work.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:45:25.300143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 457503ce-67da-474c-bd63-fc252967a692 · outbound

This paper cites an unresolved cited work.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b196163a-ee10-4d38-aa1e-48e2a6d4c0b2 · outbound

This paper cites Harris, K.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Harris, K

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T04:45:24.826804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a676585c-80fc-4c27-a51e-a106f95ae4ea · outbound

This paper cites 2017.pybind11 – Seamless operability between C++11 and Python.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data 2017.pybind11 – Seamless operability between C++11 and Python

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:45:25.264688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 82b06ad0-dda0-41fa-b648-7e6fecbaed21 · outbound

This paper cites an unresolved cited work.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9983773a-bb41-45f0-9c98-32a98cd7c550 · outbound

This paper cites an unresolved cited work.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Unresolved cited work

Reference 13

Resolution: malformed identifier; no resolver link, observed 2026-08-16T04:45:24.838966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ecbe603-f62a-42e2-b499-d6220d3df815 · outbound

This paper cites an unresolved cited work.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:45:25.249957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1b508816-c6d1-4605-96f5-0970f7f26f89 · outbound

This paper cites Blumenthal Weichung J Shih, Jay P Siegel, and Hal Stern.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Blumenthal Weichung J Shih, Jay P Siegel, and Hal Stern

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:45:25.236226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eccbd552-de1d-4074-a0e7-82a2355b3da7 · outbound

This paper cites an unresolved cited work.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:45:25.217873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f3f255f6-170b-41a3-b9f1-4c1eb92c16d4 · outbound

This paper cites an unresolved cited work.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:45:25.204134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6538748d-d6d7-40d1-a062-20c6cd29c6c3 · outbound

This paper cites an unresolved cited work.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:45:25.187531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 81771f4b-e24b-4f42-bac4-5c5b1b7b3c7d · outbound

This paper cites Learning Statistics with R.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Learning Statistics with R

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 517c0227-5d36-46ab-80fd-f9f89015fa85 · outbound

This paper cites 2024.pandas-dev/pandas: Pandas.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data 2024.pandas-dev/pandas: Pandas

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T04:45:24.867986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c10cb1e-efce-4232-8577-b43808795155 · outbound

This paper cites an unresolved cited work.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:45:25.172330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 232cccfe-01dd-4c08-802a-d725fc05a108 · outbound

This paper cites 2024.R: A Language and Environment for Statistical Computing.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data 2024.R: A Language and Environment for Statistical Computing

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T04:45:24.877833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80ed6bf1-c532-4181-b917-d5157dea42ea · outbound

This paper cites an unresolved cited work.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:45:25.150776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation abcf7498-82fc-4076-b73d-831db79a8ce5 · outbound

This paper cites an unresolved cited work.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:45:25.135430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 96577d14-7b7a-4749-aed3-bb40cd6223ec · outbound

This paper cites an unresolved cited work.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:45:25.122665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d02e1bce-4a95-4568-aee2-2f1e9af042b5 · outbound

This paper cites an unresolved cited work.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T04:45:24.896785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56a9b83d-bfea-4119-a3ca-0fd7ff93fea5 · outbound

This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T04:45:24.900760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58b6605e-ea70-41c6-bd5b-e65a2d0041a3 · outbound

This paper cites an unresolved cited work.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:45:25.100569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8327654a-f000-48a7-9010-921f56f5f285 · outbound

This paper cites an unresolved cited work.

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T04:45:24.909810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.