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Paper Citation Record · LEDGER

Informed Equation Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2105.06331.

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

pith.paper-citation-record.v1
2105.06331 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 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:06:23.346596Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:27:22.449661Z

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 4f3da1d3-1e31-4a16-b2fe-8f090ad86bd3 · inbound

Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression cites this paper.

Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression Informed Equation Learning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T11:06:23.346596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:06:23.346596Z digest=sha256:1c21e71defc9bada641ee48032a81543695c98e88767716129919af1a4ed59e9

Observation 6ca90b61-87ba-43eb-9415-02927e1fe8bf · inbound

Robust extrapolation using physics-related activation functions in neural networks for nuclear masses cites this paper.

Robust extrapolation using physics-related activation functions in neural networks for nuclear masses Informed Equation Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T15:24:24.880987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:24:24.880987Z digest=sha256:3187abdc9299cb8fc16b24edbba1cf39e065312f7882500079147af2c09a680b

Observation 32102ea2-a3df-4301-afdb-8a0bb0cdeb2c · inbound

A Data-Free Symbolic Regression Approach for Solving Equations cites this paper.

A Data-Free Symbolic Regression Approach for Solving Equations Informed Equation Learning

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:27:22.451513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T20:24:57.810972Z digest=sha256:42e3d7a692d82ca4c52dc9147ffd27f249d6d34b7e9860f909ade0c8aa4edf69