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Paper Citation Record · LEDGER

spca: An R package to Compute Least Squares Sparse Principal Components

As of 15 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2606.29104.

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

pith.paper-citation-record.v1
2606.29104 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T07:57:47.640783Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

27 of 27 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved23
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ffd6377-edf7-415d-876b-2e294d9cb62d · outbound

This paper cites Camacho and A.K.

spca: An R package to Compute Least Squares Sparse Principal Components Camacho and A.K

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:04:27.883518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:56b64c78540962800af317437730ab9106df3a9df8e4099ce17e9842d23e8083

Observation e455034b-37c5-4ce4-9f6a-7967488b9530 · outbound

This paper cites Chemometrics and Intelligent Laboratory Systems , volume=.

spca: An R package to Compute Least Squares Sparse Principal Components Chemometrics and Intelligent Laboratory Systems , volume=

Reference 2

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unresolved
no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:05a7dea8db25d25ad20249629e56044c5c772c5c697f63b369c1022df83277b4

Observation db97db8f-795e-49c9-86bf-4796699d7433 · outbound

This paper cites Camacho and A.K.

spca: An R package to Compute Least Squares Sparse Principal Components Camacho and A.K

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:04:27.880990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:6697ecf78bfb16c1479677ca8315306df1aad3c521c088dfcb0673452bb439e6

Observation d3c6c2f6-3f30-4b42-928d-d76976d2aa3a · outbound

This paper cites , journal =.

spca: An R package to Compute Least Squares Sparse Principal Components , journal =

Reference 4

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unresolved
no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:eeb063ae67c729f144a5bf38923c4b2b0e649791ca7dae959f99f9be2c72aeab

Observation 13ff223f-1f2d-47d2-9f3e-9ffd74d2c369 · outbound

This paper cites Multivariate Behavioral Research , volume =.

spca: An R package to Compute Least Squares Sparse Principal Components Multivariate Behavioral Research , volume =

Reference 5

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unresolved
no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:9d9593557262fcc43260d9df2b4e29136766d0035d7eb2a816a7a1ebac7167c3

Observation 7a0e2d31-874c-43c9-a2f2-694df7961f95 · outbound

This paper cites , journal =.

spca: An R package to Compute Least Squares Sparse Principal Components , journal =

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:6620c256286b636715eb2fe098a5f3aa2975da8717126a322b57a059f2a5f20a

Observation 150e23fd-cfb5-4669-9895-f1f8270fdec7 · outbound

This paper cites Annals of Statistics , volume =.

spca: An R package to Compute Least Squares Sparse Principal Components Annals of Statistics , volume =

Reference 7

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unresolved
no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:780a22c9f22ccd0327754d0cda264fcd084a2b1d04d2d7cb6e6c1502332eedf4

Observation aa1285d4-a129-48a1-a7a4-337e72166756 · outbound

This paper cites Australia & New Zealand Journal of Statistics , year =.

spca: An R package to Compute Least Squares Sparse Principal Components Australia & New Zealand Journal of Statistics , year =

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:78bb5165ad6285999a81d45efdc8aca947cb50634b554eacbad4feddab6df707

Observation 7fb15ee9-ac8c-483d-b0d6-94823ae4b8a3 · outbound

This paper cites Projection sparse principal component analysis: An efficient least squares method.

spca: An R package to Compute Least Squares Sparse Principal Components Projection sparse principal component analysis: An efficient least squares method

Reference 9

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no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:6e6ef9485f7d1f1c1fc3776c37f186e30d3e7d5dfaa993c3e684872c7aa75717

Observation a73caaff-cd95-428d-a4c2-33d6c69fcfab · outbound

This paper cites Journal of Applied Statistics , volume=.

spca: An R package to Compute Least Squares Sparse Principal Components Journal of Applied Statistics , volume=

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:28e68176fb3d1e43420690acefa042a36e52c86071bc07657f86789f8739f3ee

Observation 06c4bb7e-f4e1-4f51-8ecd-c3394348e265 · outbound

This paper cites , title =.

spca: An R package to Compute Least Squares Sparse Principal Components , title =

Reference 11

Resolution
verified exact
doi, observed 2026-06-30T08:04:27.878287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:56d5152785b3e0cea0ce32b978f73bd47b4c2f05339fd25fce53a222ba5f8744

Observation 7e946566-02cb-4aed-bd22-7772b36f5270 · outbound

This paper cites and Weiss, Y.

spca: An R package to Compute Least Squares Sparse Principal Components and Weiss, Y

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:b56333134b779789ebd00eeecd53eb16561d6cf3417aebba3b2add53d0b12343

Observation 141e1deb-4ade-4423-872b-5132db22a0fe · outbound

This paper cites , year =.

spca: An R package to Compute Least Squares Sparse Principal Components , year =

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:68a1ebb8fc1bed76491c22097a5d4e5a538a937aa78b41d554df0bfbd065623d

Observation 01cab1cb-0ac8-48b9-90da-a62dde2c342c · outbound

This paper cites 2025 , url =.

spca: An R package to Compute Least Squares Sparse Principal Components 2025 , url =

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:4dfbd8b3cbec9412871736f93a89c3f1cf83eba5b59d6512e131631baea3d741

Observation b30e71a8-b138-423a-9db4-26298de8ec55 · outbound

This paper cites and Jolliffe, I.

spca: An R package to Compute Least Squares Sparse Principal Components and Jolliffe, I

Reference 15

Resolution
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no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:4916889740f38f4b624d69f616e73973156a98a9f61c89473b7ffdde86802f89

Observation 6dc4adc6-d3e0-4143-9be7-6dbd1e0f12e9 · outbound

This paper cites Ninth interface symposium computer science and statistics , pages=.

spca: An R package to Compute Least Squares Sparse Principal Components Ninth interface symposium computer science and statistics , pages=

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:03fedf81b51e40f0383e23ffde97d2d276be8088da2489c0be80e7c695cf3e55

Observation b1f825a3-4009-434c-bef6-8985ee70f082 · outbound

This paper cites 2021 , month =.

spca: An R package to Compute Least Squares Sparse Principal Components 2021 , month =

Reference 17

Resolution
unresolved
no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:032d1360961c0be33463aa5705c1eb225e277936b28836b682db0d61df31c843

Observation 6a88424a-2114-46d9-bafb-7476de700f57 · outbound

This paper cites and Hastie, T.

spca: An R package to Compute Least Squares Sparse Principal Components and Hastie, T

Reference 18

Resolution
unresolved
no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:2e9f5c8841f559bdcf17681076058b230ee43869dc272f2dfcf5b9b64d4528d3

Observation 20288548-e508-4fd8-84bd-1e47ca7c27d1 · outbound

This paper cites Proceedings of the IEEE , volume=.

spca: An R package to Compute Least Squares Sparse Principal Components Proceedings of the IEEE , volume=

Reference 19

Resolution
unresolved
no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:9f1321cd698b4a356e33b28d08c0a6c32f876f23802ce80321dd662a652b606f

Observation 2b93555d-33e5-4ffd-8dda-3eaa3466e7eb · outbound

This paper cites Journal of Machine Learning Research , year =.

spca: An R package to Compute Least Squares Sparse Principal Components Journal of Machine Learning Research , year =

Reference 20

Resolution
unresolved
no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:0d44fa068a6e976661bd336951335018b9a9f91048b2ddd5f7de1f62b0138174

Observation c627e5a1-d6bc-4dda-a00f-724ae8284e26 · outbound

This paper cites 2025 , note =.

spca: An R package to Compute Least Squares Sparse Principal Components 2025 , note =

Reference 21

Resolution
malformed identifier
doi_truncated, observed 2026-06-30T08:04:27.876645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:1a54b7e0674892b36ae4296beac0ce404a5c81c8638851b9366ec924a0a40102

Observation d0b0414a-07be-48eb-9708-f187295b81c6 · outbound

This paper cites and Swineford, Frances , title =.

spca: An R package to Compute Least Squares Sparse Principal Components and Swineford, Frances , title =

Reference 22

Resolution
unresolved
no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:aa269aca1d30a6e6c18d597642aa08aba3654c33f558c1d7fe08037348efad15

Observation 2cb079af-b407-4461-a133-719b517aad5e · outbound

This paper cites an unresolved cited work.

spca: An R package to Compute Least Squares Sparse Principal Components Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:cf4c57bb0f890a044cb759024151e61db6c4f1f889ad12d3c18d196079ed5090

Observation abd0ca98-2733-4894-a40b-add28cffeb4c · outbound

This paper cites 2024 , note =.

spca: An R package to Compute Least Squares Sparse Principal Components 2024 , note =

Reference 24

Resolution
unresolved
no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:ff7de3198eb78de8986f5c1258b8e423f477dd6a4c9bd5a33d93385049c033b9

Observation 5f447e6e-9b6c-4d05-9919-bf51970d8d64 · outbound

This paper cites 2025 , note =.

spca: An R package to Compute Least Squares Sparse Principal Components 2025 , note =

Reference 25

Resolution
unresolved
no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:86615fdd00cf1682f4b2942757e026fd54390be79ad2996d8651878da32ade19

Observation a3a86722-16c5-461f-b9b6-58071efcad2b · outbound

This paper cites 2020 , note =.

spca: An R package to Compute Least Squares Sparse Principal Components 2020 , note =

Reference 26

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unresolved
no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:bc55587691f2764d350605b99b9842f8285913c52fbf6c1758e5896d960610da

Observation 9d57ed59-0a14-4126-a612-157513e2e5be · outbound

This paper cites 2026 , note =.

spca: An R package to Compute Least Squares Sparse Principal Components 2026 , note =

Reference 27

Resolution
unresolved
no resolver link, observed 2026-06-30T07:57:47.640783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:57:47.640783Z digest=sha256:8ee119f50207cfbb80f64f3003665239487b497534f07659dd4dbc76fbfc5cad

Pith citing papers

No inbound Pith citation observations are available.