Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:01:10.793315Z
Paper Citation Record · LEDGER
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method
As of 16 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:1908.04010.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
32 of 32 outbound references displayed
- verified exact0
- verified fuzzy19
- unresolved13
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0005c56d-96c1-4ab6-b3bc-d0e25e1125d2 · outbound
This paper cites an unresolved cited work.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:01:11.555099Z
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.
Observation 2bc7bbba-8e62-4e67-8c31-fb51105453be · outbound
This paper cites Bain and D.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Bain and D
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:01:11.539066Z
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.
Observation 55323066-bc98-442a-a959-83d5d0c82804 · outbound
This paper cites Baras, G.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Baras, G
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:01:11.521328Z
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.
Observation 687db007-0e41-4da2-a801-6f534ea33d9e · outbound
This paper cites Bensoussan, R.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Bensoussan, R
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:01:11.507436Z
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.
Observation 9ce9b658-78c5-4280-b6c9-cbf0d2543a83 · outbound
This paper cites Cheng, T.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Cheng, T
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:01:11.494651Z
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.
Observation 5bb4c9cc-6880-4ab7-864b-bea7ff5f40ee · outbound
This paper cites Cheng, T.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Cheng, T
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:01:11.480063Z
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.
Observation a210c9f4-26ad-4ab6-a022-5beca186333d · outbound
This paper cites an unresolved cited work.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:01:11.461331Z
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.
Observation 9eb0cc8c-eac3-4d89-bb41-f608d9097d20 · outbound
This paper cites an unresolved cited work.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:01:11.436969Z
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.
Observation ac5e41c3-1247-4f2b-ae0d-571298744efc · outbound
This paper cites Fleming and S.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Fleming and S
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:01:11.413461Z
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.
Observation 36133f68-39db-4924-b2b0-77f5752893e2 · outbound
This paper cites Gustafsson, F.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Gustafsson, F
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:01:11.392747Z
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.
Observation 183c11c3-41ee-4f40-9eee-6063568bbd69 · outbound
This paper cites Gy¨ ongy and N.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Gy¨ ongy and N
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:01:11.367214Z
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.
Observation a7b96f81-9870-409c-a26c-8f3eeb0360cb · outbound
This paper cites an unresolved cited work.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:01:11.342739Z
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.
Observation b5c6831e-6192-40e7-a0ab-d2a21319618c · outbound
This paper cites Kallianpur.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Kallianpur
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:01:11.319773Z
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.
Observation 5663cad4-b1d9-4de3-a59c-5317a0afa851 · outbound
This paper cites Kazeev, and Boris N.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Kazeev, and Boris N
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:01:11.297648Z
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.
Observation 0f8fb26a-1099-4340-8d75-94145bf7dc38 · outbound
This paper cites Khoromskij.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Khoromskij
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:01:11.277612Z
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.
Observation 9bc645ef-8860-4834-bbb8-1468740dcdfa · outbound
This paper cites an unresolved cited work.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:01:11.254477Z
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.
Observation d8058b70-3965-48e2-a863-ed2b65c99fff · outbound
This paper cites Kurtz and J.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Kurtz and J
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:01:11.229520Z
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.
Observation 47dd060c-2f00-4be7-b8fc-23b0fcf2c108 · outbound
This paper cites an unresolved cited work.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:01:11.198132Z
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.
Observation 526ec702-6cee-4ad5-8df7-a22d1fce4c97 · outbound
This paper cites Lototsky, R.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Lototsky, R
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:01:11.171864Z
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.
Observation a733fda7-6825-49ae-8f7a-1b1b9f836136 · outbound
This paper cites Luo and Stephen S.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Luo and Stephen S
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:01:11.152782Z
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.
Observation 0c8b5ecd-76ab-44ca-9f33-be7ba9de94a6 · outbound
This paper cites Luo and Stephen S.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Luo and Stephen S
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:01:11.134986Z
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.
Observation 66da5c3e-5cc4-4ac4-acb4-29d36f9367fa · outbound
This paper cites Mortensen.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Mortensen
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:01:11.117298Z
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.
Observation 33dc9ce7-73e8-43bf-b881-7dc846fc45bc · outbound
This paper cites Morton and D.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Morton and D
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:01:11.093863Z
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.
Observation 8e6b75bc-a866-40a4-a48f-23be4efb4333 · outbound
This paper cites an unresolved cited work.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:01:11.069792Z
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.
Observation 9d310d07-0023-4fc2-bc25-c5d0df42062a · outbound
This paper cites an unresolved cited work.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:01:11.040936Z
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.
Observation c4f8ae97-8ca5-4fa5-874c-c2805c8add7d · outbound
This paper cites an unresolved cited work.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:01:11.021826Z
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.
Observation 78a043bf-1535-43ae-bef6-653aeedc03ae · outbound
This paper cites an unresolved cited work.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:01:11.002643Z
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.
Observation 708c3d91-b873-4ce0-8120-d3883978b869 · outbound
This paper cites Pardouxt.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Pardouxt
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:01:10.970936Z
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.
Observation d7693d2b-edc1-412c-b992-2427673b3860 · outbound
This paper cites an unresolved cited work.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:01:10.945194Z
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.
Observation 45d1adff-3f0c-4a70-b0c2-9e50fc5f1df0 · outbound
This paper cites Real time solution of the n onlinear filtering problem without memory II.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Real time solution of the n onlinear filtering problem without memory II
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:01:10.919233Z
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.
Observation dcc39e39-0dc7-44ad-80ae-c093b912d708 · outbound
This paper cites an unresolved cited work.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:01:10.889270Z
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.
Observation eeaeacec-c11d-4bc0-b91b-bad797d920a6 · outbound
This paper cites an unresolved cited work.
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:01:10.858817Z
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.
Pith citing papers
No inbound Pith citation observations are available.