Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2111.00053.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:19:40.857956Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T16:17:09.453382Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 82de157a-e855-4344-830a-307156116935 · inbound
ChatSR: Multimodal Large Language Models for Scientific Formula Discovery Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ef3a3ee8-a4ac-4bca-a23b-0ed98f6b29a9 · inbound
Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a665548-42c2-4021-9f86-a57c5d5e26de · inbound
DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6282e9ea-63c4-4258-b7fd-0b288455e52b · inbound
SymMatika: Structure-Aware Symbolic Discovery Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b594247-2b6d-42c8-adf2-cfa5100a263e · inbound
A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fb765e2-dbbd-4c8f-ad9d-defd9981b549 · inbound
SABER: Symbolic Regression-based Angle of Arrival and Beam Pattern Estimator Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
Reference 35
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 983d7ea2-6152-408d-b4ab-31a01675fdea · inbound
LLM-Based Scientific Equation Discovery via Physics-Informed Token-Regularized Policy Optimization Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01adc444-a5e7-4f07-ba38-9149990b23f2 · inbound
From Data to Theory: Autonomous Large Language Model Agents for Materials Science Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0b08c34d-fcc5-4be9-a959-de278af6a702 · inbound
Deep Variational Inference Symbolic Regression Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3e7ff97b-5501-4dfc-b10f-3995cfab41ff · inbound
Composition-Weighted Symbolic Regression for General-Purpose Property Prediction Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation bee43b4a-8b96-4b28-aa41-80737e0de737 · inbound
GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 59765a17-66f1-41d2-84b0-22f38095c5dc · inbound
GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation af5999d9-991d-4954-a7ff-46f24dc2459d · inbound
GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a1d36f89-ac70-4540-b053-db06fb252c25 · inbound
FunctionEvolve: Structure-Guided Symbolic Regression with LLMs Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
Reference 52
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c18cc411-caab-42b6-9116-93ab72eb08bf · inbound
Attractor Geometry Determines the Identifiability Limits of System Discovery Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90d4fdbf-bd21-48ad-8cc2-f3ec20c4a5a6 · inbound
MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.