Paper Citation Record · LEDGER

Learning a System-Level Surrogate for Hydraulic Excavators: A Simulation-to-Real LSTM Approach

As of 13 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2607.15656.

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

pith.paper-citation-record.v1
2607.15656 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:43:00.819999Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

17 of 17 outbound references displayed

verified exact0
verified fuzzy0
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d6c98ac6-5db0-4997-a481-8ce3f13832ee · outbound

This paper cites An autonomous excavator system for material loading tasks,.

Learning a System-Level Surrogate for Hydraulic Excavators: A Simulation-to-Real LSTM Approach An autonomous excavator system for material loading tasks,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T22:42:59.784096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86190aa4-47e1-47d2-a0ae-b78475ed844e · outbound

This paper cites A general approach for the automation of hydraulic excavator arms using reinforcement learning,.

Learning a System-Level Surrogate for Hydraulic Excavators: A Simulation-to-Real LSTM Approach A general approach for the automation of hydraulic excavator arms using reinforcement learning,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T22:42:59.836271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb1d3a3a-9e7c-48a8-94e6-1a8117be2a65 · outbound

This paper cites Data-driven modeling and control for the automation of industrial machinery with limited instrumentation,.

Learning a System-Level Surrogate for Hydraulic Excavators: A Simulation-to-Real LSTM Approach Data-driven modeling and control for the automation of industrial machinery with limited instrumentation,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T22:42:59.910488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c74403cd-851a-453c-822a-3c8b0775931e · outbound

This paper cites Precision motion control of robotized industrial hydraulic excavators via data- driven model inversion,.

Learning a System-Level Surrogate for Hydraulic Excavators: A Simulation-to-Real LSTM Approach Precision motion control of robotized industrial hydraulic excavators via data- driven model inversion,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:00.007709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba7a88b2-c681-4257-9da5-72f5d98f57fd · outbound

This paper cites Identification and control of dynamical systems using neural networks,.

Learning a System-Level Surrogate for Hydraulic Excavators: A Simulation-to-Real LSTM Approach Identification and control of dynamical systems using neural networks,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:00.103052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50af7e75-0ca0-4808-b167-9864edf6dc56 · outbound

This paper cites Robot model identification and learning: A modern perspective,.

Learning a System-Level Surrogate for Hydraulic Excavators: A Simulation-to-Real LSTM Approach Robot model identification and learning: A modern perspective,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:00.172067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30abb597-56a6-4688-b739-513d76556950 · outbound

This paper cites A data-driven approach for approximating non-linear dynamic systems using LSTM networks,.

Learning a System-Level Surrogate for Hydraulic Excavators: A Simulation-to-Real LSTM Approach A data-driven approach for approximating non-linear dynamic systems using LSTM networks,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:00.195615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67111447-9101-4486-be79-0b69a2c6fac6 · outbound

This paper cites LSTM-based adaptive robust nonlinear controller design of a single-axis hydraulic shaking table,.

Learning a System-Level Surrogate for Hydraulic Excavators: A Simulation-to-Real LSTM Approach LSTM-based adaptive robust nonlinear controller design of a single-axis hydraulic shaking table,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:00.249156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a521df6e-f4d7-4a4c-8ca6-0b1822edfcdb · outbound

This paper cites Data-Driven Multi-step Nonlinear Model Predictive Control for Industrial Heavy Load Hydraulic Robot.

Learning a System-Level Surrogate for Hydraulic Excavators: A Simulation-to-Real LSTM Approach Data-Driven Multi-step Nonlinear Model Predictive Control for Industrial Heavy Load Hydraulic Robot

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:00.312331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d354633-17ea-4fea-98f1-b617a4ada61a · outbound

This paper cites Modeling weakly- instrumented excavator arm dynamics with stacked-input LSTM,.

Learning a System-Level Surrogate for Hydraulic Excavators: A Simulation-to-Real LSTM Approach Modeling weakly- instrumented excavator arm dynamics with stacked-input LSTM,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:00.375851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85c8ff42-3966-441e-804a-77c9268e8e4e · outbound

This paper cites Examining the simulation-to-reality gap of a wheel loader digging in deformable terrain,.

Learning a System-Level Surrogate for Hydraulic Excavators: A Simulation-to-Real LSTM Approach Examining the simulation-to-reality gap of a wheel loader digging in deformable terrain,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:00.430330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b8b40b1-16bb-4af9-b9d2-e713557bc8a2 · outbound

This paper cites A position controller for hydraulic excavators with deadtime and regenerative pipelines,.

Learning a System-Level Surrogate for Hydraulic Excavators: A Simulation-to-Real LSTM Approach A position controller for hydraulic excavators with deadtime and regenerative pipelines,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:00.494873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ea5376a-ece7-4ab2-b75e-98be37932b22 · outbound

This paper cites Data-driven identification of nonlinear dynamical systems with LSTM autoencoders and Normalizing Flows.

Learning a System-Level Surrogate for Hydraulic Excavators: A Simulation-to-Real LSTM Approach Data-driven identification of nonlinear dynamical systems with LSTM autoencoders and Normalizing Flows

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:00.551396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f80c7dee-d705-46ec-8ab2-2319e2da91b0 · outbound

This paper cites Smoothing and stationarity enforcement framework for deep learning time-series forecasting,.

Learning a System-Level Surrogate for Hydraulic Excavators: A Simulation-to-Real LSTM Approach Smoothing and stationarity enforcement framework for deep learning time-series forecasting,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:00.612122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19681f90-cb99-4384-b87a-fe35162c1e68 · outbound

This paper cites An enhanced adaptive Kalman filter for multibody model observation,.

Learning a System-Level Surrogate for Hydraulic Excavators: A Simulation-to-Real LSTM Approach An enhanced adaptive Kalman filter for multibody model observation,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:00.669938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e393f93f-5ef4-4587-8bf8-938746d4a0a8 · outbound

This paper cites Mathematical modelling and virtual decomposition control of heavy-duty parallel−serial hydraulic manip- ulators,.

Learning a System-Level Surrogate for Hydraulic Excavators: A Simulation-to-Real LSTM Approach Mathematical modelling and virtual decomposition control of heavy-duty parallel−serial hydraulic manip- ulators,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:00.728792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 560e06ea-7936-4f8e-87d7-05db2cd2a78e · outbound

This paper cites MuJoCo: A physics engine for model-based control,.

Learning a System-Level Surrogate for Hydraulic Excavators: A Simulation-to-Real LSTM Approach MuJoCo: A physics engine for model-based control,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:00.819999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.