Paper Citation Record · LEDGER

LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification

As of 11 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2412.12036.

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

pith.paper-citation-record.v1
2412.12036 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:22:48.653772Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T04:38:21.916243Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T12:10:22.748061Z

Reference resolution

15 of 15 outbound references displayed

verified exact2
verified fuzzy0
unresolved12
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e9a20a0-e4a5-4e2c-9dba-d58ce5a6444a · outbound

This paper cites doi: 10.1126/scirobotics.abm6597.

LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification doi: 10.1126/scirobotics.abm6597

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T14:22:48.627534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08249331-2581-4944-98ad-9a9d7e6e78ba · outbound

This paper cites doi: https://doi.org/10.

LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification doi: https://doi.org/10

Reference 11

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T14:22:49.165394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9041879f-c9b6-485c-8a90-f94fbe1af423 · outbound

This paper cites URL https://doi.org/10.1109/ICRA.2019.8794351.

LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification URL https://doi.org/10.1109/ICRA.2019.8794351

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T14:22:48.642742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 850cdc76-8b16-483d-a109-8f6f7ad4c715 · outbound

This paper cites Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions.

LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:22:48.885479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c82e6bdf-2ba9-4b50-b779-716eedfdfa5f · outbound

This paper cites URL https://digital-library.

LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification URL https://digital-library

Reference 1980

Resolution: verified exact; raw_fallback, observed 2026-08-11T14:22:49.150242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a76342a7-bcb2-45a3-9e22-c5c0bacdadf3 · outbound

This paper cites Michael O’Connell, Guanya Shi, Xichen Shi, Kamyar Azizzadenesheli, Anima Anandkumar, Yisong Yue, and Soon-Jo Chung.

LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification Michael O’Connell, Guanya Shi, Xichen Shi, Kamyar Azizzadenesheli, Anima Anandkumar, Yisong Yue, and Soon-Jo Chung

Reference 1990

Resolution: unresolved; no resolver link, observed 2026-08-11T14:22:48.623074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b96994f6-2bf5-4b73-9061-c01c1645842c · outbound

This paper cites URL http://www.jstor.org/ stable/2346178.

LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification URL http://www.jstor.org/ stable/2346178

Reference 1996

Resolution: unresolved; no resolver link, observed 2026-08-11T14:22:48.653772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc493aef-8097-4d0b-accb-96551783a1b9 · outbound

This paper cites doi: 10.1007/978-1-4612-1768-8.

LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification doi: 10.1007/978-1-4612-1768-8

Reference 1998

Resolution: unresolved; no resolver link, observed 2026-08-11T14:22:48.614075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8b7e6a7-356c-4b1e-9084-c59af7d61eb4 · outbound

This paper cites doi: https://doi.org/10.1016/j.arcontrol.2009.12.001.

LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification doi: https://doi.org/10.1016/j.arcontrol.2009.12.001

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-11T14:22:48.618518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e75b03d-84ba-4618-8ea3-2c901f140c0c · outbound

This paper cites URL https://www.pnas.org/doi/ abs/10.1073/pnas.1517384113.

LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification URL https://www.pnas.org/doi/ abs/10.1073/pnas.1517384113

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-11T14:22:48.586901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5added2-8ad9-4b16-bac0-7e8424c99714 · outbound

This paper cites Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks.

LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-11T14:22:48.603765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aae0f9ce-0871-4c8d-9d51-c061d9d86fc3 · outbound

This paper cites URL https://www.pnas.org/doi/abs/10.

LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification URL https://www.pnas.org/doi/abs/10

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T14:22:48.593308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49bebed9-da24-4dce-9775-80203dfefe7c · outbound

This paper cites URL https://doi.org/10.

LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification URL https://doi.org/10

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-11T14:22:48.598080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a9a99a4-1a1e-48c8-be47-580b34922a5c · outbound

This paper cites Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems.

LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T14:22:48.636665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2cea4ac-f2fe-4037-bef8-15b2e119c8a2 · outbound

This paper cites Lennart Ljung.

LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification Lennart Ljung

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T14:22:48.608513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 9d6c7f1c-505f-4974-8dc5-89b96938e1a1 · inbound

AC-SINDy: Compositional Sparse Identification of Nonlinear Dynamics cites this paper.

AC-SINDy: Compositional Sparse Identification of Nonlinear Dynamics LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-02T02:03:31.021359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.