Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2204.10532.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T05:02:19.783885Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T20:07:44.748607Z
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 d4b7744c-e69c-4190-b7b8-bbc843f8379d · inbound
SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond End-to-end symbolic regression with transformers
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93235bc6-ab38-4680-a1f3-c03080d7c51e · inbound
Learning Semantics-aware Search Operators for Genetic Programming End-to-end symbolic regression with transformers
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82690a55-3530-48a5-a761-4258c280d678 · inbound
LLM-Based Scientific Equation Discovery via Physics-Informed Token-Regularized Policy Optimization End-to-end symbolic regression with transformers
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64700f01-355f-445e-916c-097ee1da2629 · inbound
Discovering interpretable low-dimensional dynamics using maximum entropy End-to-end symbolic regression with transformers
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 08e33425-27a3-46d4-bd48-a7d4f6bc631d · inbound
MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models End-to-end symbolic regression with transformers
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.