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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 2026-08-20T06:33:59.587034+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.

source=arxiv_source observed=2026-08-16T10:30:16.693093Z digest=sha256:f9dd6a7e17a60eed553fa0aee51962fe58384e8a2d66ab78ff422640570ead0b

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T10:30:16.699533Z digest=sha256:6fb4c3bfd0eadc0bf3082b1fadf728179ff89cc512029daf9e62db9215bb8b1a

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T10:30:16.705174Z digest=sha256:521eef1785de9851679bf765f83d68550c55cda8b64e860af9861d68cdb00c15

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T10:30:16.710248Z digest=sha256:c64e2217ea0b09aeff00d6e104bdf40bdfc468631e1cd51170dcd53063f14d42

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.

source=arxiv_source observed=2026-08-16T10:30:16.720604Z digest=sha256:36ee3c7b97f1b0efee3533b2b83d6eeb80670efd0aa1133db50400812a207e1f

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.

source=arxiv_source observed=2026-08-16T10:30:16.725440Z digest=sha256:e01ee531b25b50d081f532ded81886b68cb2276bf84e849789e1e4628e723ef2

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.

source=arxiv_source observed=2026-08-16T10:30:16.731782Z digest=sha256:3e4e27a9fee3161460eaea415b73719c273d8ea69c210d740d3b982cd73f9560

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.

source=arxiv_source observed=2026-08-16T10:30:16.737072Z digest=sha256:6db3e48eb3e77e145478ab9394133b225810e9e6b5f3f83d4efc6a47ee6ed878

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.

source=arxiv_source observed=2026-08-16T10:30:16.741832Z digest=sha256:a834b766df704ca25fd904c670de3d24a9753ac6ebc63d2e0b2b3586e1f66c58

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T17:17:27.892857Z digest=sha256:e5b1d7e98cb5018b3c6ec07504ce68d0c25cbb1ef0a4488056a0e8f4af591432