Paper Citation Record · LEDGER

Deep Variational Sequential Monte Carlo for High-Dimensional Observations

As of 7 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2501.05982.

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

pith.paper-citation-record.v1
2501.05982 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T05:27:19.106700Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

29 of 29 outbound references displayed

verified exact0
verified fuzzy28
unresolved1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 136ee631-0b10-408f-8cd0-646ede2e473f · outbound

This paper cites A New Approach to Linear Filtering and Prediction Problems.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations A New Approach to Linear Filtering and Prediction Problems

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.264836Z

Source-reported events for the cited work

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Observation 3744cfe4-2063-45e1-8b9b-7173b1710a0b · outbound

This paper cites an unresolved cited work.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-05-23T05:27:36.268048Z

Source-reported events for the cited work

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Observation e4eafdc2-ea7b-42af-87e8-dfcbcab1eed4 · outbound

This paper cites New extension of the Kalman filter to nonlinear systems.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations New extension of the Kalman filter to nonlinear systems

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.270862Z

Source-reported events for the cited work

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Observation f7739d4d-9aee-4e5e-bf2e-3e9917932310 · outbound

This paper cites Novel approach to nonlinear/non-Gaussian Bayesian state estimation.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Novel approach to nonlinear/non-Gaussian Bayesian state estimation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.274057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14611e00-f2a5-4122-9576-4b69a3019814 · outbound

This paper cites Elements of Sequential Monte Carlo.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Elements of Sequential Monte Carlo

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.252792Z

Source-reported events for the cited work

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Observation 69da6d21-e00e-4104-a63b-072be6df33ec · outbound

This paper cites Rao- Blackwellised Particle Filtering for Dynamic Bayesian Networks.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Rao- Blackwellised Particle Filtering for Dynamic Bayesian Networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.247504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cf11b36e-4516-4097-95d8-98b3e74e87eb · outbound

This paper cites Multiple Particle Filtering.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Multiple Particle Filtering

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.250041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 84ebe5ef-ddad-4594-ac95-e1de10e7400d · outbound

This paper cites Particle filtering for high-dimensional systems.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Particle filtering for high-dimensional systems

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.215300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a89934a5-28e5-406c-b69d-b8ff423f9b7d · outbound

This paper cites Approximations of the Optimal Importance Density using Gaussian Particle Flow Importance Sampling.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Approximations of the Optimal Importance Density using Gaussian Particle Flow Importance Sampling

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.276758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fb03b8db-6d6c-4107-95b8-5c73d7c6e844 · outbound

This paper cites Gibbs flow for approximate transport with applications to Bayesian computation.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Gibbs flow for approximate transport with applications to Bayesian computation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.209051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8cb5d520-d8fc-48d9-b548-fea82a890c42 · outbound

This paper cites An overview of differentiable particle filters for data- adaptive sequential Bayesian inference.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations An overview of differentiable particle filters for data- adaptive sequential Bayesian inference

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.202179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3ab0e871-6d04-4a82-9e77-197a03e4ee37 · outbound

This paper cites Differ- entiable Particle Filtering via Entropy-Regularized Optimal Transport.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Differ- entiable Particle Filtering via Entropy-Regularized Optimal Transport

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.205735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation af8c20c3-2c07-4e2b-91ed-0d905adfd871 · outbound

This paper cites Unsupervised Learning of Sampling Distributions for Particle Filters.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Unsupervised Learning of Sampling Distributions for Particle Filters

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.261818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 02b95b41-399d-40e6-b2c1-8ce02d4d4bf2 · outbound

This paper cites End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.191071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8b0de1b5-a334-476b-bb76-184e04de4460 · outbound

This paper cites Normalising Flow-based Differentiable Particle Filters.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Normalising Flow-based Differentiable Particle Filters

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.198605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0988df5b-df23-4313-a7ec-f4c9362fb816 · outbound

This paper cites Learning Differentiable Particle Filter on the Fly.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Learning Differentiable Particle Filter on the Fly

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.194761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8bccc2a2-5e0a-4f62-a74a-0f10cc0b3a7c · outbound

This paper cites Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.212135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f73622b7-7874-4885-ac05-f279b3393db7 · outbound

This paper cites Differentiable Particle Filtering without Modifying the Forward Pass.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Differentiable Particle Filtering without Modifying the Forward Pass

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.256071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc11fb16-0276-4380-b93f-3117e7b640f7 · outbound

This paper cites Variational Sequential Monte Carlo.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Variational Sequential Monte Carlo

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.235137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 186c06ff-2be6-48f1-8111-8f9ca9f9a803 · outbound

This paper cites Filtering Variational Objectives.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Filtering Variational Objectives

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.218249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4be2048e-62ef-472a-ad0a-2cc485db6f88 · outbound

This paper cites Auto-Encoding Sequential Monte Carlo.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Auto-Encoding Sequential Monte Carlo

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.232200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c10e7b38-2429-4727-ae0a-863ee43c8f9a · outbound

This paper cites A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.227364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d01b5b2a-ba4c-4400-a3f8-ec3d676f9bb6 · outbound

This paper cites Improved particle filter for nonlinear problems.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Improved particle filter for nonlinear problems

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.229875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9dab954d-f248-4cc7-b0c7-7948c03f7d2c · outbound

This paper cites Stochastic Backpropagation through Mixture Density Dis- tributions.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Stochastic Backpropagation through Mixture Density Dis- tributions

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.238243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3b63c0d8-3dd4-468c-8197-203b36b6443f · outbound

This paper cites Implicit Reparameterization Gradients.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Implicit Reparameterization Gradients

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.258661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b5ed798e-3427-4c84-9265-321bb5d25cbb · outbound

This paper cites Decoupled Weight Decay Regularization.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Decoupled Weight Decay Regularization

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.224259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3ac4e413-b005-49e2-88f9-7acca8907686 · outbound

This paper cites Deterministic Nonperiodic Flow.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Deterministic Nonperiodic Flow

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.241347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 57540832-9c35-411d-ab16-6fefe2225483 · outbound

This paper cites Latent-KalmanNet: Learned Kalman Filtering for Tracking from High-Dimensional Signals.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Latent-KalmanNet: Learned Kalman Filtering for Tracking from High-Dimensional Signals

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.244605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 337ea049-3248-4934-a580-26abdf0171d9 · outbound

This paper cites Combining Generative and Discriminative Models for Hybrid Inference.

Deep Variational Sequential Monte Carlo for High-Dimensional Observations Combining Generative and Discriminative Models for Hybrid Inference

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:27:36.221212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.