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Paper Citation Record · LEDGER

Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator

As of 9 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2607.16092.

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

pith.paper-citation-record.v1
2607.16092 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:30:44.182738Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

20 of 20 outbound references displayed

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  • verified fuzzy0
  • unresolved17
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0fc89576-b3c0-493e-954c-283ca5ccbedd · outbound

This paper cites 2019 , publisher=.

Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator 2019 , publisher=

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0d7a2f78-3e31-4904-b159-5f62e0325e46 · outbound

This paper cites High dimensional probability V: the Luminy volume , volume=.

Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator High dimensional probability V: the Luminy volume , volume=

Reference 2

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Observation b3b5907d-9364-49c2-b929-9b3ba3864c77 · outbound

This paper cites Journal of the American Statistical Association , volume =.

Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator Journal of the American Statistical Association , volume =

Reference 3

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Observation 1c8c45b7-176e-47e6-8032-0d89645dd0dc · outbound

This paper cites an unresolved cited work.

Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator Unresolved cited work

Reference 4

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Observation 9c54d96c-2e77-4568-b622-9dba15cbde33 · outbound

This paper cites Spatial depth characterizes probability measures.

Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator Spatial depth characterizes probability measures

Reference 5

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Observation d352b12e-f9e1-48e0-832d-ad77d0141861 · outbound

This paper cites The Annals of Statistics , number =.

Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator The Annals of Statistics , number =

Reference 6

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Observation 29fca206-28ae-4529-b3e7-1e7b5edfa40b · outbound

This paper cites On data depth in infinite dimensional spaces.

Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator On data depth in infinite dimensional spaces

Reference 7

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verified exact
doi, observed 2026-08-01T21:33:31.526406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 58fc41a9-3317-49b9-9732-0391d3b3206b · outbound

This paper cites Proceedings of the National Academy of Sciences , volume =.

Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator Proceedings of the National Academy of Sciences , volume =

Reference 8

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Observation 960a74e3-f633-4c99-993a-fad96972dea5 · outbound

This paper cites A Depth Function and a Scale Curve Based on Spatial Quantiles.

Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator A Depth Function and a Scale Curve Based on Spatial Quantiles

Reference 9

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Observation 603180bc-07de-452e-afdb-a52765ef5fc8 · outbound

This paper cites 2003 , issn =.

Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator 2003 , issn =

Reference 10

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6829b7eb-4176-4d38-945b-8922689804fb · outbound

This paper cites The Annals of Statistics , number =.

Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator The Annals of Statistics , number =

Reference 11

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Observation d5dc32a8-4de6-409a-81b3-5c17b2ab7bc2 · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology , volume =.

Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator Journal of the Royal Statistical Society Series B: Statistical Methodology , volume =

Reference 12

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Observation e054e07d-50b0-44c9-8d58-2819d8dd0d01 · outbound

This paper cites International Statistical Review , volume =.

Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator International Statistical Review , volume =

Reference 13

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9f21cbb4-c2e1-46c8-be2b-690cf8e570aa · outbound

This paper cites Robust estimation and classification for functional data via projection-based depth notions.

Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator Robust estimation and classification for functional data via projection-based depth notions

Reference 14

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Observation 7e7fd098-46cd-4906-b79e-abaecf53610b · outbound

This paper cites Mathematics and the Picturing of Data.

Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator Mathematics and the Picturing of Data

Reference 15

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Observation 275dd693-9d0e-4f4c-af79-3dca04aad774 · outbound

This paper cites Journal of machine learning research , volume=.

Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator Journal of machine learning research , volume=

Reference 16

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Observation e74dd19a-bc1d-421c-872e-2ac923154efa · outbound

This paper cites Annales de la Facult.

Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator Annales de la Facult

Reference 17

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Observation b3021408-522d-422a-aa6d-690e4c94d5cf · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator Advances in Neural Information Processing Systems , volume=

Reference 18

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Observation 11ca94cb-6e4a-49e8-bf08-5bf0c7747260 · outbound

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Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator 2024 , issn =

Reference 19

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Observation dfa93324-6596-4324-a737-a96766666dd3 · outbound

This paper cites Information and Inference: A Journal of the IMA , volume =.

Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator Information and Inference: A Journal of the IMA , volume =

Reference 20

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