Paper Citation Record · LEDGER

Variational meta-learning inference for low dimensional neural system identification

As of 13 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2607.18965.

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

pith.paper-citation-record.v1
2607.18965 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:53:49.310509Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

19 of 19 outbound references displayed

verified exact0
verified fuzzy0
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 99d3ebc6-ab0a-41b8-9629-e397e6485abd · outbound

This paper cites Deep networks for system identification: a survey,.

Variational meta-learning inference for low dimensional neural system identification Deep networks for system identification: a survey,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T13:53:47.202404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 291fdffb-30dd-4679-9f79-aac0528546e1 · outbound

This paper cites Distributionally robust min- imization in meta-learning for system identification,.

Variational meta-learning inference for low dimensional neural system identification Distributionally robust min- imization in meta-learning for system identification,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T13:53:47.386034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d59342e-cad8-47bb-a800-669d6d1d3d8f · outbound

This paper cites Enhanced trans- former architecture for in-context learning of dynamical systems,.

Variational meta-learning inference for low dimensional neural system identification Enhanced trans- former architecture for in-context learning of dynamical systems,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T13:53:47.534415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 968789ca-8096-4d48-bc28-e5750d17d639 · outbound

This paper cites Can transformers learn optimal filtering for unknown systems?.

Variational meta-learning inference for low dimensional neural system identification Can transformers learn optimal filtering for unknown systems?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T13:53:47.602676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64bff950-2ade-4a69-9b82-ba87c8e187e3 · outbound

This paper cites Inverse supervised learning of controller tuning rules,.

Variational meta-learning inference for low dimensional neural system identification Inverse supervised learning of controller tuning rules,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T13:53:47.760400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37ce1795-5ab3-41ea-accb-95c0cd0c0572 · outbound

This paper cites Deep sets,.

Variational meta-learning inference for low dimensional neural system identification Deep sets,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T13:53:47.893133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82d1e293-84e6-4f44-9025-d47ceb0b509d · outbound

This paper cites Set transformer: A framework for attention-based permutation-invariant neural networks,.

Variational meta-learning inference for low dimensional neural system identification Set transformer: A framework for attention-based permutation-invariant neural networks,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T13:53:48.013154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d632907-ef4f-447e-949e-e51a53210af9 · outbound

This paper cites Conditional neural processes,.

Variational meta-learning inference for low dimensional neural system identification Conditional neural processes,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T13:53:48.143639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b82d848-3a72-4fa1-bece-bd6f503ea6e1 · outbound

This paper cites Manifold meta-learning for reduced-complexity neural system identification,.

Variational meta-learning inference for low dimensional neural system identification Manifold meta-learning for reduced-complexity neural system identification,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T13:53:48.248874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01164d8b-7e3f-4082-95d4-45c0dad1aad2 · outbound

This paper cites Auto-encoding variational bayes,.

Variational meta-learning inference for low dimensional neural system identification Auto-encoding variational bayes,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T13:53:48.368178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5b82c07-c8f3-4636-aa5a-52b663ed4c97 · outbound

This paper cites Tutorial on amortized optimization,.

Variational meta-learning inference for low dimensional neural system identification Tutorial on amortized optimization,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T13:53:48.428915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b647a0d1-c05f-46b9-a757-9c5445bf5ae3 · outbound

This paper cites Variational infer- ence: A review for statisticians,.

Variational meta-learning inference for low dimensional neural system identification Variational infer- ence: A review for statisticians,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T13:53:48.498577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9ff6602-1427-4ad8-860e-4cd23643f229 · outbound

This paper cites Tutorial on Variational Autoencoders.

Variational meta-learning inference for low dimensional neural system identification Tutorial on Variational Autoencoders

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T13:53:48.580179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03a714ff-40d8-4362-bedb-9ec9ef8cd610 · outbound

This paper cites beta-V AE: Learning basic visual concepts with a constrained variational framework,.

Variational meta-learning inference for low dimensional neural system identification beta-V AE: Learning basic visual concepts with a constrained variational framework,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T13:53:48.679197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 074f70bf-283d-4dc1-97be-bc45e88daba5 · outbound

This paper cites Understanding posterior collapse in generative latent variable models,.

Variational meta-learning inference for low dimensional neural system identification Understanding posterior collapse in generative latent variable models,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T13:53:48.753355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f7a490f-6683-447d-a5f0-2a6f8b308a58 · outbound

This paper cites Mixtures of laplace approximations for improved post-hoc uncertainty in deep learning,.

Variational meta-learning inference for low dimensional neural system identification Mixtures of laplace approximations for improved post-hoc uncertainty in deep learning,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T13:53:48.967907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de8624cb-b2c0-4903-8bc6-b8b686008eca · outbound

This paper cites Hysteretic benchmark with a dynamic nonlinearity,.

Variational meta-learning inference for low dimensional neural system identification Hysteretic benchmark with a dynamic nonlinearity,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T13:53:49.123855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 933a04aa-da04-456d-9f75-23f7f1668090 · outbound

This paper cites Meta-learning for physically-constrained neural system identification,.

Variational meta-learning inference for low dimensional neural system identification Meta-learning for physically-constrained neural system identification,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T13:53:49.200162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8d11089-2f9b-44a1-9b10-efa3d6072b4c · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Variational meta-learning inference for low dimensional neural system identification Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T13:53:49.310509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.