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Paper Citation Record · LEDGER

Neural Symbolic Regression that Scales

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2106.06427.

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

pith.paper-citation-record.v1
2106.06427 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:11:27.469756Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 50959c40-cff9-4eaa-abfc-027232e3b511 · inbound

Symbolic Regression for Shared Expressions: Introducing Partial Parameter Sharing cites this paper.

Symbolic Regression for Shared Expressions: Introducing Partial Parameter Sharing Neural Symbolic Regression that Scales

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T12:11:27.469756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:11:27.469756Z digest=sha256:df5c82d65d6796671f8a94cd53d62a7ff3604aee0ee0127a754310986696ae7a

Observation fdd65b40-4747-48d6-8875-a423d91c3172 · inbound

LLM-Based Scientific Equation Discovery via Physics-Informed Token-Regularized Policy Optimization cites this paper.

LLM-Based Scientific Equation Discovery via Physics-Informed Token-Regularized Policy Optimization Neural Symbolic Regression that Scales

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T01:09:49.927053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:09:49.927053Z digest=sha256:b8321aa9ea3c4ad34215a046caae12acefe1b4e1ad06b0907ad03d885b33bbee

Observation 71fe45b4-41d8-4868-a54f-2a12d49a6525 · inbound

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models cites this paper.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Neural Symbolic Regression that Scales

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T04:39:24.046633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:39:24.046633Z digest=sha256:1710eb737ba1f307b87de59f6fd9272fa6333e30d618d8b1bc171e8369725881