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Paper Citation Record · LEDGER

Introducing Thermodynamics-Informed Symbolic Regression -- A Tool for Thermodynamic Equations of State Development

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.02805.

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

pith.paper-citation-record.v1
2309.02805 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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:20:43.410571Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T18:37:58.436714Z

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 26ed799a-c995-46c5-8931-de47715ec635 · inbound

Drag modelling for flows through assemblies of spherical particles with machine learning: A comparison of approaches cites this paper.

Drag modelling for flows through assemblies of spherical particles with machine learning: A comparison of approaches Introducing Thermodynamics-Informed Symbolic Regression -- A Tool for Thermodynamic Equations of State Development

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T19:20:43.410571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:20:43.410571Z digest=sha256:812153e5240b480991317d39946e54f61b7a3876a8add6ebc3a9c62491ae72fa

Observation 0b35e988-b03f-4aa4-a8f4-60d030819d0e · inbound

Fast Symbolic Regression Benchmarking cites this paper.

Fast Symbolic Regression Benchmarking Introducing Thermodynamics-Informed Symbolic Regression -- A Tool for Thermodynamic Equations of State Development

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-05T18:37:58.511476Z

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=pdf_text observed=2026-08-05T18:37:57.427687Z digest=sha256:617f4592d401a76eaf5b16204095e88ee70c6fb801f4cea27da09ccd584c0235

Observation 14ee2eea-2700-402e-ac83-ffc18926de8e · inbound

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

Symbolic Regression for Shared Expressions: Introducing Partial Parameter Sharing Introducing Thermodynamics-Informed Symbolic Regression -- A Tool for Thermodynamic Equations of State Development

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-03T12:11:27.904892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:11:27.904892Z digest=sha256:15e94bab7076232b1ab3a8482c8e3693c6301652a3cca2ce64774fc23c67c4c7