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Paper Citation Record · LEDGER

Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2205.13134.

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

pith.paper-citation-record.v1
2205.13134 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:19:41.072343Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T19:43:55.189954Z

Reference resolution

0 of 0 outbound references displayed

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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 b10094cf-1b66-4518-a691-ffdb083d28b8 · inbound

ChatSR: Multimodal Large Language Models for Scientific Formula Discovery cites this paper.

ChatSR: Multimodal Large Language Models for Scientific Formula Discovery Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-24T00:33:39.980585Z

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.

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Observation f0054d39-e244-47ed-9815-bfd17da176c9 · inbound

Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback cites this paper.

Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T15:19:41.072343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f5e28334-9eed-43db-a134-639ed33c505f · inbound

Governing Equation Discovery from Data Based on Differential Invariants cites this paper.

Governing Equation Discovery from Data Based on Differential Invariants Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:14.375394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d7caeb53-cea5-4865-aac7-0318bd57c59c · inbound

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience cites this paper.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T11:05:45.597524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:45.597524Z digest=sha256:16029ea7a6a3e684b461d535b1f48633ca64b3abbec45e4af60fc0cc5772cc1c

Observation 7aeaea29-a7c3-4ad6-b8a4-cb5c5a4cd9fc · inbound

When is a System Discoverable from Data? Discovery Requires Chaos cites this paper.

When is a System Discoverable from Data? Discovery Requires Chaos Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search

Reference 155

Resolution
unresolved
no resolver link, observed 2026-08-03T22:50:31.154124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T22:50:31.154124Z digest=sha256:30321342b2072e0319e06f81e6b981a5bb9479499e1c23613582030a5356b8f6

Observation 530050be-2ea7-4e45-a589-5f741168b7a7 · inbound

Symbolic recovery of PDEs from measurement data cites this paper.

Symbolic recovery of PDEs from measurement data Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search

Reference 98

Resolution
verified exact
arxiv_id, observed 2026-05-15T21:46:42.655549Z

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.

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Observation 3755d2f1-5b8e-4567-9873-8c5bd78bd094 · inbound

GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing cites this paper.

GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:36:25.214199Z

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.

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Observation 9bb8d0c0-081e-4014-803b-dcc8a178c4a6 · inbound

GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing cites this paper.

GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T03:22:10.296245Z

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.

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Observation 65205fdb-7196-4150-94d9-5f49e88cac86 · inbound

GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing cites this paper.

GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T21:22:59.506156Z

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.

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Observation 5f40349f-7ca6-4d87-84ac-8f9986e26020 · inbound

The Montparnasse Algorithm for RNA Design cites this paper.

The Montparnasse Algorithm for RNA Design Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search

Reference 48

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T19:43:55.192261Z

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.

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