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Paper Citation Record · LEDGER

In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.19094.

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

pith.paper-citation-record.v1
2404.19094 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:05:45.470823Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T06:25:48.475266Z

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 650056de-b3a7-4e46-8c94-732f3f390a96 · 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 In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T11:05:45.470823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:45.470823Z digest=sha256:4c766f2575866dc25c540ed218605769ccd25d7454ea151a2527ba72850dd5f0

Observation d146b1d5-b661-482a-a228-bf56301c0fc5 · inbound

Programmatic Context Augmentation for LLM-based Symbolic Regression cites this paper.

Programmatic Context Augmentation for LLM-based Symbolic Regression In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:25:48.477544Z

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.

source=arxiv_source observed=2026-05-08T18:26:09.810673Z digest=sha256:35ea701769d9fcceadfb87f25ecfc34f0014456325159e5e0092f34cc8d507a3