Pith. sign in

Paper Citation Record · LEDGER

Deep Dynamic Probabilistic Canonical Correlation Analysis

As of 17 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2502.05155.

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

pith.paper-citation-record.v1
2502.05155 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:07:07.434649Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:07:50.564959Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:07:51.536238Z

Reference resolution

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4d8ff32c-4f77-4d49-ae9b-ddea39835333 · outbound

This paper cites A probabilistic interpretation of canonical correlation analysis,.

Deep Dynamic Probabilistic Canonical Correlation Analysis A probabilistic interpretation of canonical correlation analysis,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:07:07.720720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:07:07.345259Z digest=sha256:7aceacd6642e2afbb5f95caebab8a92974e6ac5a64d6a474b8ec31c8470802a6

Observation 7f76b05b-174e-4d72-8d8f-0ba028669526 · outbound

This paper cites Probabilistic approach to detecting dependencies between data sets,.

Deep Dynamic Probabilistic Canonical Correlation Analysis Probabilistic approach to detecting dependencies between data sets,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:07:07.709112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:07:07.349928Z digest=sha256:53fdea4c1379cd3b1086ffc8a69ff3818d00dd0666e446c7f3618936d80ab151

Observation 9c424dc9-7f06-4174-bef0-7cbca0278ac2 · outbound

This paper cites Probabilistic partial least squares model: Identifiability, estimation and application,.

Deep Dynamic Probabilistic Canonical Correlation Analysis Probabilistic partial least squares model: Identifiability, estimation and application,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:07:07.698196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:07:07.353655Z digest=sha256:b64cbb8251da94ee03c38ebda4afed3bdc24d218825626cc824f857a5810dffd

Observation 13a07550-031f-44fe-9d46-4ce85dec96e3 · outbound

This paper cites an unresolved cited work.

Deep Dynamic Probabilistic Canonical Correlation Analysis Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-08T20:07:07.357358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:07:07.357358Z digest=sha256:b93c3baddff744cda6e2c0531fe2ae4fe85221e1ee60654070e66cacf5a25bb5

Observation 27b92396-32c4-410d-8cc9-19b93989edd1 · outbound

This paper cites Bayesian sparse partial least squares,.

Deep Dynamic Probabilistic Canonical Correlation Analysis Bayesian sparse partial least squares,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:07:07.679468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:07:07.361162Z digest=sha256:a5f1c28f6ca82fcf649e83f7a6d35792a2de3617e4cc8c6e118001c412a8eadb

Observation 1daf22f8-756f-4fcb-82ea-ec297fbd91ba · outbound

This paper cites Dynamic latent variable analytics for process operations and control,.

Deep Dynamic Probabilistic Canonical Correlation Analysis Dynamic latent variable analytics for process operations and control,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:07:07.668912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:07:07.364951Z digest=sha256:2380b0b637a582aa98c702c483a1d46a94f99b5e9e60a4d256b89d1dcc50f437

Observation 170d3939-0ff7-4bc2-986b-c26c17a78aa1 · outbound

This paper cites Dynamic prob- abilistic cca for analysis of affective behavior and fusion of continuous annotations,.

Deep Dynamic Probabilistic Canonical Correlation Analysis Dynamic prob- abilistic cca for analysis of affective behavior and fusion of continuous annotations,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:07:07.657088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:07:07.368725Z digest=sha256:13479ee9abe26a5bc3a1964a54b9828ec950ce5cee67ae8d0ff84dac5512e26f

Observation 08b79d04-4758-4904-8609-2b85db6865cd · outbound

This paper cites Structured inference networks for nonlinear state space models,.

Deep Dynamic Probabilistic Canonical Correlation Analysis Structured inference networks for nonlinear state space models,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:07:07.645273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:07:07.372261Z digest=sha256:94122b549d5881f54e43d459344794f4f57caf0e3f49eaae2cbc312c18dcd16a

Observation 78ce3a8f-f64c-4b5b-be72-27836d68d5fa · outbound

This paper cites A view of the em algorithm that justifies incremental, sparse, and other variants,.

Deep Dynamic Probabilistic Canonical Correlation Analysis A view of the em algorithm that justifies incremental, sparse, and other variants,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:07:07.633620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:07:07.375695Z digest=sha256:7f56cb96d86fc99d5b959d32280cbb5eca2cb4c3f6a038512f14afb491f03415

Observation e7cd1d04-a960-4274-bda6-88040b44cf39 · outbound

This paper cites Auto-Encoding Variational Bayes.

Deep Dynamic Probabilistic Canonical Correlation Analysis Auto-Encoding Variational Bayes

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T20:07:07.379581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:07:07.379581Z digest=sha256:b2af11ffb86e9d542b7d6352e761261702d21c14844e4c51192c21ba96ac1e8c

Observation ef2c2b78-dcaf-4041-a042-04a13557641c · outbound

This paper cites Variational inference: A review for statisticians,.

Deep Dynamic Probabilistic Canonical Correlation Analysis Variational inference: A review for statisticians,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-08T20:07:07.383883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:07:07.383883Z digest=sha256:06e8b8595b0545baaa07c56c9a01b8ebcac7e6ccfd49a3e0471d0ddd5e68e4d4

Observation 74f9c782-07c5-4aef-ab7c-f9bccb6d8250 · outbound

This paper cites A unifying review of linear gaussian models,.

Deep Dynamic Probabilistic Canonical Correlation Analysis A unifying review of linear gaussian models,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:07:07.615985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:07:07.387913Z digest=sha256:b4da2e5efa72c07b7e3ac4a50e00ef4696a49440f07615e9d5b45b5962114c16

Observation 594f69b9-a20c-42c6-b56d-6a30547b118e · outbound

This paper cites Auto-encoding variational bayes,.

Deep Dynamic Probabilistic Canonical Correlation Analysis Auto-encoding variational bayes,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:07:07.604768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:07:07.393521Z digest=sha256:c13c84433472b2a7ebff67ea62f97f4a4686ed0631a12ad466066c93017c7f28

Observation 092812b7-b896-4964-8215-170fbd50f2dd · outbound

This paper cites Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing.

Deep Dynamic Probabilistic Canonical Correlation Analysis Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T20:07:07.397111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:07:07.397111Z digest=sha256:fe705da363e8651a810228105664d4c2cc5846e410c37f564405b39b97aa0baa

Observation 957fccd1-25a9-4984-8152-be474782f049 · outbound

This paper cites Variational inference with normalizing flows,.

Deep Dynamic Probabilistic Canonical Correlation Analysis Variational inference with normalizing flows,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T20:07:07.401068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:07:07.401068Z digest=sha256:255bb03458f384451a96a765e124db7627ee9a66d4ac62d017780731f765ce78

Observation 5b7cf2b6-777a-4681-a783-0cb921bffec7 · outbound

This paper cites Improved variational inference with inverse autoregressive flow,.

Deep Dynamic Probabilistic Canonical Correlation Analysis Improved variational inference with inverse autoregressive flow,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:07:07.585835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:07:07.404818Z digest=sha256:c857f03f42f1d18c019d550d091907ca1b372dcacc510415a8cf67fd9b6ab90e

Observation 6c08d8e8-15c3-4712-9fcc-908f4423b411 · outbound

This paper cites Normalizing kalman filters for multivariate time series analysis,.

Deep Dynamic Probabilistic Canonical Correlation Analysis Normalizing kalman filters for multivariate time series analysis,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:07:07.574743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:07:07.408599Z digest=sha256:90dffae77f8543be6c84a5593e737957f8d5b1bc84502c5d21f71a1c672e96a1

Observation 5a63f4bf-bbef-416a-8199-44d2014a905d · outbound

This paper cites Improving sequential latent variable models with autoregressive flows,.

Deep Dynamic Probabilistic Canonical Correlation Analysis Improving sequential latent variable models with autoregressive flows,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:07:07.563620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:07:07.412017Z digest=sha256:a81141e3c87cfae34deb04dafbaf230ffb27ad5d4da8cce66575a3b53e894d8a

Observation 59205c57-f1fa-4e3a-8c18-9572913f9eaa · outbound

This paper cites Factorial hidden markov mod- els,.

Deep Dynamic Probabilistic Canonical Correlation Analysis Factorial hidden markov mod- els,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:07:07.552343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:07:07.415490Z digest=sha256:2a01eeea2450cde337a1412be12d5bf15c55ddcf1ac18cffcbe1064a750ef157

Observation 5aa9ce4f-bd5d-4994-a84f-7ef622ec9622 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Deep Dynamic Probabilistic Canonical Correlation Analysis Adam: A Method for Stochastic Optimization

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-08T20:07:07.419164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:07:07.419164Z digest=sha256:3aa1555468fa3c1e32afd4c2d02bea6cce22428c0c504b1cb89509663197058b

Observation e795c171-db67-4fb9-b75d-6a9b59f59941 · outbound

This paper cites Pyro: Deep universal probabilistic programming,.

Deep Dynamic Probabilistic Canonical Correlation Analysis Pyro: Deep universal probabilistic programming,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:07:07.537850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:07:07.423894Z digest=sha256:668d0c6650e65da5971d38935ddb69783b45e5721d417d155f21fa54391de3af

Observation c85d7a09-7e81-47d5-8a11-7e466b4c0752 · outbound

This paper cites S&P 500 Stock Data Dataset,.

Deep Dynamic Probabilistic Canonical Correlation Analysis S&P 500 Stock Data Dataset,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:07:07.521956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:07:07.427905Z digest=sha256:ffe96005b286905bc32d20ac93a1b334b10f3d2f5c3788add3cbf37a38877308

Observation ec307597-dc9e-4ed0-b467-b1e930e1e0c9 · outbound

This paper cites A recurrent latent variable model for sequen- tial data,.

Deep Dynamic Probabilistic Canonical Correlation Analysis A recurrent latent variable model for sequen- tial data,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:07:07.507354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:07:07.431340Z digest=sha256:016c8b35b61aba0b45cfbe04d9356ba4164d3712719bcdc1538ddb555b861bd9

Observation b95c1d6f-25ee-457f-a0c6-b69b9922fd04 · outbound

This paper cites Dynamical Variational Autoencoders: A Comprehensive Review.

Deep Dynamic Probabilistic Canonical Correlation Analysis Dynamical Variational Autoencoders: A Comprehensive Review

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T20:07:07.434649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:07:07.434649Z digest=sha256:89dfac4cee39aa9cebdc18741dab7f2cf206262e2ccea36b0134354bbe13ce18

Pith citing papers

Observation 976cb110-fc71-46e9-a03f-91d0c7c33117 · inbound

InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation Analysis cites this paper.

InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation Analysis Deep Dynamic Probabilistic Canonical Correlation Analysis

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:07:51.609597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:07:50.564959Z digest=sha256:5132ce8e48d469c924c18697aec7188b4e18691b7ad99bd176e0ecb9147c5a9c