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Paper Citation Record · LEDGER

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations

As of 10 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2608.06190.

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

pith.paper-citation-record.v1
2608.06190 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:02:05.551523Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

64 of 64 outbound references displayed

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External citation measurements

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Outbound references

Observation 1e3d6c96-8333-4a9d-add8-42ddb150abc1 · outbound

This paper cites 1998 , publisher =.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations 1998 , publisher =

Reference 1

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This paper cites Computer Methods in Applied Mechanics and Engineering , volume=.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Computer Methods in Applied Mechanics and Engineering , volume=

Reference 2

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This paper cites Journal of Computational Physics , volume=.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Journal of Computational Physics , volume=

Reference 3

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This paper cites The Fokker-Planck equation: methods of solution and applications , pages =.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations The Fokker-Planck equation: methods of solution and applications , pages =

Reference 4

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This paper cites Journal of statistical physics , volume =.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Journal of statistical physics , volume =

Reference 5

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This paper cites The annals of mathematical statistics , pages =.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations The annals of mathematical statistics , pages =

Reference 6

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This paper cites 2003 , publisher =.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations 2003 , publisher =

Reference 7

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This paper cites Springer , year =.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Springer , year =

Reference 8

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Unresolved cited work

Reference 9

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Unresolved cited work

Reference 10

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This paper cites Physica D , volume =.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Physica D , volume =

Reference 11

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Advances in neural information processing systems , volume=

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Advances in neural information processing systems , volume=

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Advances in Neural Information Processing Systems , volume =

Reference 14

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Stochastic Processes and their Applications , volume=

Reference 15

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This paper cites IEEE transactions on pattern analysis and machine intelligence , volume=.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations IEEE transactions on pattern analysis and machine intelligence , volume=

Reference 16

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Journal of Machine Learning Research , volume=

Reference 17

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This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 18

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This paper cites Journal of Computational Physics , volume =.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Journal of Computational Physics , volume =

Reference 19

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Nature Machine Intelligence , volume =

Reference 20

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Fourier Neural Operator for Parametric Partial Differential Equations

Reference 21

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations International Conference on Machine Learning , year =

Reference 22

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations International Conference on Learning Representations , year =

Reference 23

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Advances in Neural Information Processing Systems , volume =

Reference 24

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Unresolved cited work

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations International Conference on Learning Representations , year =

Reference 26

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Statistics and Computing , volume =

Reference 27

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations

Reference 28

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations International Conference on Learning Representations , year =

Reference 29

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Advances in Neural Information Processing Systems , volume =

Reference 30

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Monthly Weather Review , volume =

Reference 31

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Harmonic Analysis of Operators on

Reference 32

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Unresolved cited work

Reference 33

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Transport, Collective Motion, and

Reference 34

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Physical Review , volume =

Reference 35

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations , journal =

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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations 2009 , publisher=

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5f1ce94b-392c-4783-ba79-1d4a5f7a28b7 · outbound

This paper cites Biometrika , volume=.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Biometrika , volume=

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation bc6ffec9-7220-4a97-b7e0-36bd23926e42 · outbound

This paper cites an unresolved cited work.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Unresolved cited work

Reference 39

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation fbb17017-f217-43ad-b009-4494268c632e · outbound

This paper cites SIAM Review , volume =.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations SIAM Review , volume =

Reference 40

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation cf581b4f-3b3d-4d32-91e8-b95989bc2f91 · outbound

This paper cites 2008 , publisher=.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations 2008 , publisher=

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9683ffd6-494b-4fce-b0f0-d13b552cd6c2 · outbound

This paper cites The Annals of Mathematical Statistics , pages=.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations The Annals of Mathematical Statistics , pages=

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d34ae251-7700-4acb-add8-aee307085c32 · outbound

This paper cites On Erlang ODE approximations of differential equations with distributed time delays.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations On Erlang ODE approximations of differential equations with distributed time delays

Reference 43

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 05f0cc85-7873-40f4-a561-ded799ff1d5a · outbound

This paper cites The condition number of real.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations The condition number of real

Reference 44

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:02:03.924642Z digest=sha256:5488b585befeba5ee951e3c34e85bac950c1c9cf089e2dfc66a4b3cd9db08ece

Observation 45aee864-ac79-48ff-abd5-e30b883ab92e · outbound

This paper cites 2013 , publisher=.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations 2013 , publisher=

Reference 45

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:02:03.974749Z digest=sha256:c116e41b5124a49abbd8539314b046ffbe3378c52df4296c1946696d5fa8f7f5

Observation c9d16fb9-4156-4fac-9727-10b77a49a2f9 · outbound

This paper cites International Conference on Machine Learning , year =.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations International Conference on Machine Learning , year =

Reference 46

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7329cc74-3472-48d0-8b99-45fccd7edf70 · outbound

This paper cites International Conference on Learning Representations , year =.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations International Conference on Learning Representations , year =

Reference 47

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unresolved
no resolver link, observed 2026-08-07T13:02:04.085214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:04.085214Z digest=sha256:cdbc9e5d653b4a90d6d299f10c7daaf07db74ce14c6669deb6e86f4de632e57b

Observation 81535db5-7bbf-4f3f-8bcb-998597a7aeca · outbound

This paper cites and Tartakovsky, Daniel M.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations and Tartakovsky, Daniel M

Reference 48

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ca971865-3225-482b-a94b-e864820b78e2 · outbound

This paper cites Texts in applied mathematics , volume=.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Texts in applied mathematics , volume=

Reference 49

Resolution
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no resolver link, observed 2026-08-07T13:02:04.200060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 920add7d-3e30-4bc2-b886-d5d35c6d0e86 · outbound

This paper cites Neural Schrödinger Bridge With Sinkhorn Losses: Application to Data-Driven Minimum Effort Control of Colloidal Self-Assembly , year=.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Neural Schrödinger Bridge With Sinkhorn Losses: Application to Data-Driven Minimum Effort Control of Colloidal Self-Assembly , year=

Reference 50

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:02:04.275261Z digest=sha256:a02d77106a452c82824c1a390d8de7a1b8ec4ffc65fd1a4166a5a6dcd85160d3

Observation eea52171-ab23-46a3-9367-61d78c7caee6 · outbound

This paper cites an unresolved cited work.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Unresolved cited work

Reference 51

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 6943dc89-4064-4cfa-941b-19b33bd78d74 · outbound

This paper cites Ai , volume=.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Ai , volume=

Reference 52

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 16a818c6-a246-480d-9142-4ea47ba4be10 · outbound

This paper cites Numerische Mathematik , volume=.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Numerische Mathematik , volume=

Reference 53

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no resolver link, observed 2026-08-07T13:02:04.486907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 74ac6690-4760-4563-a4d7-fd53136dde5c · outbound

This paper cites an unresolved cited work.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Unresolved cited work

Reference 54

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no resolver link, observed 2026-08-07T13:02:04.571044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:04.571044Z digest=sha256:4c606963b684a36b63a106361e8ca8d98053f5c026486c4105a18b21c2bbff3b

Observation 0ea95887-2eea-4c9b-94a7-2201185d1ca1 · outbound

This paper cites an unresolved cited work.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Unresolved cited work

Reference 55

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:04.638022Z digest=sha256:25c5ecb7ed0838c7f9bb84c22f06c06e92285eefa4d37c18ffaef244a845b065

Observation 215fc218-efb3-4f9f-b75e-09fe6c444827 · outbound

This paper cites , title =.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations , title =

Reference 56

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:02:04.703521Z digest=sha256:22d6f4ca9981511f673738b6500fac2b88bcf5b62fdbac3a39841ea631e5e653

Observation 4e6dd584-028f-4ecb-a79c-839514558091 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations International Conference on Learning Representations (ICLR) , year =

Reference 57

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unresolved
no resolver link, observed 2026-08-07T13:02:04.803152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:04.803152Z digest=sha256:6f00f7ce4be0aacb3e2542fdeba7c865b22f354c1dd23e6259de9d11f87dad5f

Observation 7c219c75-ff09-4249-bdf2-a287e6ecc920 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:07.946207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:02:04.902733Z digest=sha256:7b5cf90fc5648cdced28e85f29b77a9fec5314e7d24e6c36262dd64882d9227e

Observation 1c877bea-b943-40fe-b3f5-d1fce9c6e960 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations International Conference on Learning Representations (ICLR) , year =

Reference 59

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unresolved
no resolver link, observed 2026-08-07T13:02:04.991544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:04.991544Z digest=sha256:785a310045311d22e2e296edc18e4eaea07dafc5f524e3187563311a3297f679

Observation 175c11d9-b994-44cf-8c47-f38a2aec7c6a · outbound

This paper cites and Tartakovsky, Daniel M.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations and Tartakovsky, Daniel M

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:07.730708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:02:05.134818Z digest=sha256:0e1ecf6ebec0b59c25ce71ecca9c214ee4491271925da6ec665d92275dc596d9

Observation 5e917fe9-2640-4e6c-9eec-6d8d6aef0e84 · outbound

This paper cites Stein Variational Gradient Descent: A General Purpose.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Stein Variational Gradient Descent: A General Purpose

Reference 61

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verified fuzzy
raw_fallback, observed 2026-08-07T13:02:07.516293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:02:05.238828Z digest=sha256:3a6d39a799813d4d160f00165d883839513f2714f943943ea824fcb8fc341c39

Observation d26c1fbe-8c14-42e9-9ec9-eec262daef00 · outbound

This paper cites Proceedings of the National Academy of Sciences , volume=.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Proceedings of the National Academy of Sciences , volume=

Reference 62

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unresolved
no resolver link, observed 2026-08-07T13:02:05.340320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:05.340320Z digest=sha256:a47d419270b8805e29f0342b45d1873f87ac053406d568ade2ca9d2dda0fca66

Observation 28183374-fd14-4ad0-8cb5-554c0c5f0524 · outbound

This paper cites 2004 , publisher=.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations 2004 , publisher=

Reference 63

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verified fuzzy
raw_fallback, observed 2026-08-07T13:02:07.314061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:02:05.450301Z digest=sha256:f70c003cf8ec4cbbc9f5c6ca862b733a9970fd20490a2acf141b4b6bf11da01a

Observation 29a232af-9e33-4e4b-9b57-ace3958ba46a · outbound

This paper cites The Annals of Mathematical Statistics , volume=.

Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations The Annals of Mathematical Statistics , volume=

Reference 64

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verified fuzzy
raw_fallback, observed 2026-08-07T13:02:07.047145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:02:05.551523Z digest=sha256:276a0746569645389cb67df08d7a519330086ef06b12c76c46e2fd9a3b5d327a

Pith citing papers

No inbound Pith citation observations are available.