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Paper Citation Record · LEDGER

Inference on covariance structure in high-dimensional multi-view data

As of 15 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2509.02772.

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pith.paper-citation-record.v1
2509.02772 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T19:07:04.933700Z

measured 29 of 29 standing notices

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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.

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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

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  • unresolved10
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  • metadata mismatch1

External citation measurements

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Outbound references

Observation 5504100d-5bba-44a3-aa15-751dfbd2ae16 · outbound

This paper cites an unresolved cited work.

Inference on covariance structure in high-dimensional multi-view data Unresolved cited work

Reference 1

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raw_fallback, observed 2026-05-18T19:12:50.101396Z

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.

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Observation 817c6013-bd29-45e0-979f-0af4cb098637 · outbound

This paper cites & Piferrer, F.

Inference on covariance structure in high-dimensional multi-view data & Piferrer, F

Reference 2

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doi, observed 2026-05-18T19:11:46.484022Z

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correction dated 2015-01-28. Source: crossref record 10.1038/ncomms5852->10.1038/ncomms4887:correction, observed 2026-07-11T03:02:02.14002+00:00. This notice travels one citation hop only.

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Observation b90a2bbc-268a-494c-904f-5427e7bd8935 · outbound

This paper cites an unresolved cited work.

Inference on covariance structure in high-dimensional multi-view data Unresolved cited work

Reference 3

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doi, observed 2026-05-18T19:11:46.492905Z

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

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Observation 56c98345-332e-4daa-a192-f5e0bb005a3f · outbound

This paper cites C., Buettner, F., Huber, W.

Inference on covariance structure in high-dimensional multi-view data C., Buettner, F., Huber, W

Reference 4

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

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Observation 6603b45c-b1e3-4c9d-89d1-5030f55ac91e · outbound

This paper cites an unresolved cited work.

Inference on covariance structure in high-dimensional multi-view data Unresolved cited work

Reference 5

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

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Observation cbe751f0-f0b2-4487-ae62-05d23db13254 · outbound

This paper cites D., Urz´ ua-Traslavi˜na, C.

Inference on covariance structure in high-dimensional multi-view data D., Urz´ ua-Traslavi˜na, C

Reference 6

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raw_fallback, observed 2026-05-18T19:12:50.097450Z

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

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Observation b3a90f66-e483-451b-97b4-1fd4a5822482 · outbound

This paper cites an unresolved cited work.

Inference on covariance structure in high-dimensional multi-view data Unresolved cited work

Reference 7

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verified exact
doi, observed 2026-05-18T19:11:46.487055Z

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Observation fbdbaf30-b33e-4172-b97a-9fdbc79151fd · outbound

This paper cites & Tshimanga-Ilunga, J.

Inference on covariance structure in high-dimensional multi-view data & Tshimanga-Ilunga, J

Reference 8

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

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Observation 63dfd896-b867-4290-bde6-f2a441e0e00c · outbound

This paper cites (1976), Modern Factor Analysis, University of Chicago Press.

Inference on covariance structure in high-dimensional multi-view data (1976), Modern Factor Analysis, University of Chicago Press

Reference 9

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

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Observation c6b910f4-90fd-41ad-9cfe-d06e3e49aae4 · outbound

This paper cites an unresolved cited work.

Inference on covariance structure in high-dimensional multi-view data Unresolved cited work

Reference 10

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doi, observed 2026-05-18T19:11:46.490089Z

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

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Observation f404840f-73ac-4113-8c41-0ae1aae91300 · outbound

This paper cites M., Chen, Y.

Inference on covariance structure in high-dimensional multi-view data M., Chen, Y

Reference 11

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arxiv_id, observed 2026-05-18T19:11:47.534688Z

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Observation 0b24e21f-79a9-4ff9-a693-4d77318bba45 · outbound

This paper cites Y., Tang, T.

Inference on covariance structure in high-dimensional multi-view data Y., Tang, T

Reference 12

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Observation dffca660-fab2-4c1b-81e2-6b6cb379a3a0 · outbound

This paper cites an unresolved cited work.

Inference on covariance structure in high-dimensional multi-view data Unresolved cited work

Reference 13

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arxiv_id, observed 2026-05-18T19:11:46.497758Z

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Observation d5ebfdd6-5a10-42d2-956d-3b738b03e1ce · outbound

This paper cites Compressive Bayesian non-negative matrix factorization for mutational signatures analysis.

Inference on covariance structure in high-dimensional multi-view data Compressive Bayesian non-negative matrix factorization for mutational signatures analysis

Reference 14

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arxiv_id, observed 2026-05-18T19:11:47.538881Z

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

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Observation 147dfd01-23e0-432a-ba25-9558562234c7 · outbound

This paper cites The result follows from Proposition 3.5 of Chattopadhyay et al.

Inference on covariance structure in high-dimensional multi-view data The result follows from Proposition 3.5 of Chattopadhyay et al

Reference 15

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Observation 22e8be6d-5675-4b92-bb01-fabbd373acda · outbound

This paper cites 22 Therefore, denoting with 𝐸 = 1 𝑀 Í𝑀 𝑚=1 Δ𝑚, we have || 𝐸 || < 1/𝑀 with probability at least 1 − 𝑜(1), for 𝑛 and 𝑝min sufficiently large.

Inference on covariance structure in high-dimensional multi-view data 22 Therefore, denoting with 𝐸 = 1 𝑀 Í𝑀 𝑚=1 Δ𝑚, we have || 𝐸 || < 1/𝑀 with probability at least 1 − 𝑜(1), for 𝑛 and 𝑝min sufficiently large

Reference 16

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

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Observation 1be9175e-6207-44f9-a5fa-9676c8e4b63b · outbound

This paper cites an unresolved cited work.

Inference on covariance structure in high-dimensional multi-view data Unresolved cited work

Reference 17

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Observation b44d7faa-67b3-46d0-945a-b921b5fdfccf · outbound

This paper cites Recall thatˆΛ𝑚 = 𝑌 ⊤ 𝑚𝑈√𝑛/(𝑛+ 𝜏−2 𝑚 ).

Inference on covariance structure in high-dimensional multi-view data Recall thatˆΛ𝑚 = 𝑌 ⊤ 𝑚𝑈√𝑛/(𝑛+ 𝜏−2 𝑚 )

Reference 18

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Observation 7db4c93b-8489-4a05-9ed7-5d1b3396b460 · outbound

This paper cites an unresolved cited work.

Inference on covariance structure in high-dimensional multi-view data Unresolved cited work

Reference 19

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

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Observation c760ce11-0884-4d69-8b5e-e1c9b98b74f9 · outbound

This paper cites Thus, ˆ𝜆⊤ 𝑚 𝑗 ˆ𝜆𝑚′ 𝑗′ = 𝑔𝑚𝑚′ 𝑦 ( 𝑗 )⊤ 𝑚 𝑈𝑈 ⊤𝑦 ( 𝑗′ ) 𝑚′ = 𝑔𝑚𝑚′ 𝑦 ( 𝑗 )⊤ 𝑚 𝑈0𝑈⊤ 0 𝑦 ( 𝑗′ ) 𝑚′ + 𝑔𝑚𝑚′ 𝑦 ( 𝑗 )⊤ 𝑚 𝑈𝑈 ⊤ − 𝑈0𝑈⊤ 0 𝑦 ( 𝑗′ ) 𝑚′.

Inference on covariance structure in high-dimensional multi-view data Thus, ˆ𝜆⊤ 𝑚 𝑗 ˆ𝜆𝑚′ 𝑗′ = 𝑔𝑚𝑚′ 𝑦 ( 𝑗 )⊤ 𝑚 𝑈𝑈 ⊤𝑦 ( 𝑗′ ) 𝑚′ = 𝑔𝑚𝑚′ 𝑦 ( 𝑗 )⊤ 𝑚 𝑈0𝑈⊤ 0 𝑦 ( 𝑗′ ) 𝑚′ + 𝑔𝑚𝑚′ 𝑦 ( 𝑗 )⊤ 𝑚 𝑈𝑈 ⊤ − 𝑈0𝑈⊤ 0 𝑦 ( 𝑗′ ) 𝑚′

Reference 20

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

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Observation 4a6b3bba-a6e1-4104-b3ec-2fa486d5fd1a · outbound

This paper cites an unresolved cited work.

Inference on covariance structure in high-dimensional multi-view data Unresolved cited work

Reference 21

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Observation 465f05f7-4a8e-43bc-abb0-cdb66d9b9151 · outbound

This paper cites an unresolved cited work.

Inference on covariance structure in high-dimensional multi-view data Unresolved cited work

Reference 22

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source=pdf_text observed=2026-05-18T19:07:04.933700Z digest=sha256:233ecbab84d1c7d0b21b049dc8ebbd2e42178f7f929dcdd2a1c0c8c2663b1b3b

Observation 3ae59557-d8cc-43fb-bda4-cb9758293bd8 · outbound

This paper cites (2024) concludes the proof.

Inference on covariance structure in high-dimensional multi-view data (2024) concludes the proof

Reference 23

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source=pdf_text observed=2026-05-18T19:07:04.933700Z digest=sha256:5023a2525d5a13ac863ac0b9f9f1b87c9571a51fbbda9a55ee7a025b1a711459

Observation 2a23d8d1-d7a7-4122-96c0-a396aa53d615 · outbound

This paper cites an unresolved cited work.

Inference on covariance structure in high-dimensional multi-view data Unresolved cited work

Reference 24

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source=pdf_text observed=2026-05-18T19:07:04.933700Z digest=sha256:829a0a4ec80329a692b26495183479b42c7076d39e53d764652a587d3a505a41

Observation 7e9f951b-5dd5-4c66-ac88-29ece1cacf07 · outbound

This paper cites Recall that, with probability at least 1 − 𝑜(1), || 𝐹0𝑚|| ≍ √𝑛 by Corollary 5.35 of Vershynin (2012) and max𝑗=1,..., 𝑝 𝑚 || 𝜆0𝑚 𝑗 || ≤ || Λ0||∞ √𝑘 𝑚 ≍ 1 by Assumption.

Inference on covariance structure in high-dimensional multi-view data Recall that, with probability at least 1 − 𝑜(1), || 𝐹0𝑚|| ≍ √𝑛 by Corollary 5.35 of Vershynin (2012) and max𝑗=1,..., 𝑝 𝑚 || 𝜆0𝑚 𝑗 || ≤ || Λ0||∞ √𝑘 𝑚 ≍ 1 by Assumption

Reference 25

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

source=pdf_text observed=2026-05-18T19:07:04.933700Z digest=sha256:abcacb644fcd3bddc50c87181353a8b48dc03767390c1d80fd990bb9025a61f3

Observation 8153abf6-ade9-469c-b4e4-81312fc9c5e1 · outbound

This paper cites Then, by Corollary 3.11 in Bandeira & van Handel (2016), we have || 𝐸𝑚|| ≲ √𝑛𝜎𝑚,𝑚𝑎𝑥 + 𝜎𝑚,𝑠𝑢𝑚 ≤ 𝜎𝑚,𝑚𝑎𝑥 (√𝑛 + √𝑝𝑚), with probability at least 1 − 𝑜(1).

Inference on covariance structure in high-dimensional multi-view data Then, by Corollary 3.11 in Bandeira & van Handel (2016), we have || 𝐸𝑚|| ≲ √𝑛𝜎𝑚,𝑚𝑎𝑥 + 𝜎𝑚,𝑠𝑢𝑚 ≤ 𝜎𝑚,𝑚𝑎𝑥 (√𝑛 + √𝑝𝑚), with probability at least 1 − 𝑜(1)

Reference 26

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

source=pdf_text observed=2026-05-18T19:07:04.933700Z digest=sha256:4033294292e4c961e5008e1b04b84d7d97af98131c6e1aead3b316766cf16b29

Observation a897510d-75d8-40b7-b485-a82b3bc39438 · outbound

This paper cites an unresolved cited work.

Inference on covariance structure in high-dimensional multi-view data Unresolved cited work

Reference 27

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

source=pdf_text observed=2026-05-18T19:07:04.933700Z digest=sha256:0277474c28793784a7f3c084ac4e29c6fa8a285a6b8728e98c3d5232e0e8cd0e

Observation 1cb373da-6f62-4e96-ba3b-dd5b19975b11 · outbound

This paper cites an unresolved cited work.

Inference on covariance structure in high-dimensional multi-view data Unresolved cited work

Reference 28

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source=pdf_text observed=2026-05-18T19:07:04.933700Z digest=sha256:b9824b4fc81e1b82bb3ab856459b342bdf11c15c13b8d94cd75dfb8622a9e8f6

Observation c08f8989-1a4c-40c7-a5bc-856f6135b15d · outbound

This paper cites an unresolved cited work.

Inference on covariance structure in high-dimensional multi-view data Unresolved cited work

Reference 29

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

source=pdf_text observed=2026-05-18T19:07:04.933700Z digest=sha256:91f8471183bfda892ec9198a484554e0a27eb3c4000e98996dfca35f4ce52634

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