Paper Citation Record · LEDGER

Learning from Less: SINDy Surrogates in RL

As of 21 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 1 inbound Pith citation observation for arXiv:2504.18113.

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

pith.paper-citation-record.v1
2504.18113 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:30:16.741832Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:17:27.892857Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T17:17:28.014992Z

Reference resolution

9 of 9 outbound references displayed

verified exact1
verified fuzzy2
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a8c89bad-5cc7-49af-aa88-ef6f65c16078 · outbound

This paper cites write newline.

Learning from Less: SINDy Surrogates in RL write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T10:30:16.693093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef26453b-8346-4552-8333-1b473f17a520 · outbound

This paper cites Model-Based Reinforcement Learning with SINDy.

Learning from Less: SINDy Surrogates in RL Model-Based Reinforcement Learning with SINDy

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:30:16.826926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation acf14f20-bf0d-4949-a490-c5185bc7993c · outbound

This paper cites Discovering governing equations from data by sparse identification of nonlinear dynamical systems.

Learning from Less: SINDy Surrogates in RL Discovering governing equations from data by sparse identification of nonlinear dynamical systems

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:30:16.894355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f487ae1f-26f0-46c7-8cf5-1d5f5b588744 · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.

Learning from Less: SINDy Surrogates in RL Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:30:16.876516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d7554571-0b51-4509-a7fe-c4ebc7e000bf · outbound

This paper cites Reinforcement learning: An introduction.

Learning from Less: SINDy Surrogates in RL Reinforcement learning: An introduction

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T10:30:16.720604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40166d7e-1b50-46ed-9c52-ad433c72e250 · outbound

This paper cites SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning.

Learning from Less: SINDy Surrogates in RL SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T10:30:16.725440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7927c696-1107-48bd-9860-73d6b69364b7 · outbound

This paper cites @esa (Ref.

Learning from Less: SINDy Surrogates in RL @esa (Ref

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T10:30:16.731782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23ac823a-a830-44f3-a615-303bbdd8bbc2 · outbound

This paper cites an unresolved cited work.

Learning from Less: SINDy Surrogates in RL Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:30:16.737072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d89ab4ea-1620-492b-824b-c1ea9cc10d4f · outbound

This paper cites Proximal Policy Optimization Algorithms.

Learning from Less: SINDy Surrogates in RL Proximal Policy Optimization Algorithms

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T10:30:16.741832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation de76e98b-6a88-430e-9eb8-0d7b7e845447 · inbound

Learning to Modulate, Not to Cycle: Soft Actor---Critic Recovers Inverter-Style Heat-Pump Control cites this paper.

Learning to Modulate, Not to Cycle: Soft Actor---Critic Recovers Inverter-Style Heat-Pump Control Learning from Less: SINDy Surrogates in RL

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-11T17:17:28.021129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.