Paper Citation Record · LEDGER

Generalized Teacher Forcing for Learning Chaotic Dynamics

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2306.04406.

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

pith.paper-citation-record.v1
2306.04406 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:48:11.374257Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:22:46.946161Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 994eb294-8ad1-497b-bba2-c745653213f9 · inbound

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts cites this paper.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Generalized Teacher Forcing for Learning Chaotic Dynamics

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.374257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70ac294b-add0-4806-80f5-f02302101633 · inbound

Understanding and controlling the geometry of memory organization in RNNs cites this paper.

Understanding and controlling the geometry of memory organization in RNNs Generalized Teacher Forcing for Learning Chaotic Dynamics

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-08T13:26:47.049830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bc8ea26-3b23-414f-93a8-5b84c3a148a7 · inbound

Neural Functions for Learning Periodic Signal cites this paper.

Neural Functions for Learning Periodic Signal Generalized Teacher Forcing for Learning Chaotic Dynamics

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T04:53:33.038391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7807adb9-7394-4288-a374-61ce07ddf8d3 · inbound

Universal Approximation Theorems for Dynamical Systems with Infinite-Time Horizon Guarantees cites this paper.

Universal Approximation Theorems for Dynamical Systems with Infinite-Time Horizon Guarantees Generalized Teacher Forcing for Learning Chaotic Dynamics

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-03T03:21:49.441747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 643dc59f-82fa-4308-a41b-ee1091224345 · inbound

Teacher Forcing as Generalized Bayes: Optimization Geometry Mismatch in Switching Surrogates for Chaotic Dynamics cites this paper.

Teacher Forcing as Generalized Bayes: Optimization Geometry Mismatch in Switching Surrogates for Chaotic Dynamics Generalized Teacher Forcing for Learning Chaotic Dynamics

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:36:39.766635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8ef8ed2f-d8e6-400c-ac7f-e2ece46b6e96 · inbound

Optimizing Reservoir Computing for Reconstructing Ergodic Properties cites this paper.

Optimizing Reservoir Computing for Reconstructing Ergodic Properties Generalized Teacher Forcing for Learning Chaotic Dynamics

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:21:03.667370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 34146d3d-92f9-457f-9313-d44374e29e3c · inbound

Can Transformers predict system collapse in dynamical systems? cites this paper.

Can Transformers predict system collapse in dynamical systems? Generalized Teacher Forcing for Learning Chaotic Dynamics

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:41:31.548529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 782db774-2d71-4d84-8383-ab7e96d85c3f · inbound

Autoregressive One-Step Generative Modeling for Dynamical System Forecasting cites this paper.

Autoregressive One-Step Generative Modeling for Dynamical System Forecasting Generalized Teacher Forcing for Learning Chaotic Dynamics

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-02T14:48:38.513390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f135ab8-0b06-449b-9cb7-cbf3d511d27b · inbound

Flow map learning in nonlinear vector autoregressive models: influence of the feature-library structure on the training error cites this paper.

Flow map learning in nonlinear vector autoregressive models: influence of the feature-library structure on the training error Generalized Teacher Forcing for Learning Chaotic Dynamics

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:22:46.947506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.