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Paper Citation Record · LEDGER

A kernel method for canonical correlation analysis

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:cs/0609071.

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

pith.paper-citation-record.v1
cs/0609071 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:42:39.676329Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-05-25T15:40:59.577302Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5fef1788-2481-4e50-91bd-8bfa368e0a6a · inbound

Task-Driven Common Representation Learning via Bridge Neural Network cites this paper.

Task-Driven Common Representation Learning via Bridge Neural Network A kernel method for canonical correlation analysis

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-25T15:40:59.580861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-25T15:39:05.619300Z digest=sha256:ef6f1a37c1201e1a99389b5a6f4f6a949b0da4259a717f2c84757435affa6b8e

Observation 2faaa565-3b53-4c8f-a8ce-a603f05e9df8 · inbound

Deep Structured Cross-Modal Anomaly Detection cites this paper.

Deep Structured Cross-Modal Anomaly Detection A kernel method for canonical correlation analysis

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-14T14:05:29.613395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:05:29.613395Z digest=sha256:1ac7533663f1530b4f28dff46f3230426bd1e9be064cc41258428951439b2fe4

Observation 89862b48-73c5-4532-8b11-87d38af0f3ce · inbound

Using Contextual Information to Improve Blood Glucose Prediction cites this paper.

Using Contextual Information to Improve Blood Glucose Prediction A kernel method for canonical correlation analysis

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-14T11:25:43.754315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:25:43.754315Z digest=sha256:7e2c473608e5ae8e95421f8d839c339bb9e91a87f72955c7f7f6c0cc6a156795

Observation 25965cb3-610e-4f41-85a3-2e52102d33ba · inbound

Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables cites this paper.

Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables A kernel method for canonical correlation analysis

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:39.676329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:39.676329Z digest=sha256:7c9a1632ab9cce123beb24148ae0fb1d05fc10d0145fcd99054f2a92f75232e5

Observation 36229505-ed5b-4b9f-9e07-b2128c2400d4 · inbound

Sliding Window Informative Canonical Correlation Analysis cites this paper.

Sliding Window Informative Canonical Correlation Analysis A kernel method for canonical correlation analysis

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-19T02:16:59.124822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-19T02:15:39.018719Z digest=sha256:3c1441fccdefaf324d39ab5e2a8dc8971f575d3353827c27a95b31080aad5a9a

Observation 05729cd3-b32d-4c19-b666-eae90310a3ae · inbound

Feature Extraction in the Remote Sensing Data Value Chain: A Systematic Review of Methods and Applications cites this paper.

Feature Extraction in the Remote Sensing Data Value Chain: A Systematic Review of Methods and Applications A kernel method for canonical correlation analysis

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-18T04:45:54.691995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-18T04:44:26.350418Z digest=sha256:9fbb0d111da9ad9928974cea9072bd3cf4c3f8106c4b68247cb51af7d9124074

Observation 6bda7e48-fb20-4650-a6cb-ac3e26f37c13 · inbound

Complex Interpolation of Matrices with an application to Multi-Manifold Learning cites this paper.

Complex Interpolation of Matrices with an application to Multi-Manifold Learning A kernel method for canonical correlation analysis

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:05:25.243751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T13:01:15.057603Z digest=sha256:4dad0df6fbaa498f72991d5597cff383e29f7397cc6c5f52811b2d9280f319ea