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Paper Citation Record · LEDGER

Simplifying Polylogarithms with Machine Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2206.04115.

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

pith.paper-citation-record.v1
2206.04115 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:11:56.453211Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T06:47:43.369333Z

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 957eda78-1e01-4d2f-a402-4fa735fd1f58 · inbound

Explainable AI-assisted Optimization for Feynman Integral Reduction cites this paper.

Explainable AI-assisted Optimization for Feynman Integral Reduction Simplifying Polylogarithms with Machine Learning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T21:11:56.453211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:11:56.453211Z digest=sha256:e64736650273b435da87dccb4a7ebc955a77f51ac8fcac70b2c776e4112ae630

Observation 4bcd7926-f83c-496e-b6ac-015849bd307a · inbound

Analytic Regression of Feynman Integrals from High-Precision Numerical Sampling cites this paper.

Analytic Regression of Feynman Integrals from High-Precision Numerical Sampling Simplifying Polylogarithms with Machine Learning

Reference 129

Resolution
unresolved
no resolver link, observed 2026-08-06T14:46:49.676227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:46:49.676227Z digest=sha256:f6f4f30b15c241309c17213e373d8566ed5c5ee7ba43957e3942d291cba7f0c2

Observation f0d20f29-c8db-4340-a596-2318bbe72c0e · inbound

Learning to Unscramble: Simplifying Symbolic Expressions via Self-Supervised Oracle Trajectories cites this paper.

Learning to Unscramble: Simplifying Symbolic Expressions via Self-Supervised Oracle Trajectories Simplifying Polylogarithms with Machine Learning

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:35:35.460991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T12:31:32.917453Z digest=sha256:124934c929c0f583f02645a3c07d724015319de573854c534adeb6fefd04c398

Observation 3c02eef1-5b43-40d1-a7ed-300041a5b865 · inbound

Efficient AI-Inspired Reduction of Feynman Integrals via Tube Seeding cites this paper.

Efficient AI-Inspired Reduction of Feynman Integrals via Tube Seeding Simplifying Polylogarithms with Machine Learning

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-07-03T06:47:43.370644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T12:28:49.796094Z digest=sha256:27a5aee7e6eb7dbbb7201c78fd768c0b8865c418bfc82ffbfa790d8cc0801a84

Observation 5183bf97-75f1-4e98-983a-c839702cabd2 · inbound

Graph Neural Networks for the Graphical Bootstrap cites this paper.

Graph Neural Networks for the Graphical Bootstrap Simplifying Polylogarithms with Machine Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T04:50:25.686477Z digest=sha256:f1e1a9c1bc56c4e15bbefb8afb5c735bdf97c69c1dba095094dd9e4e83771fa5

Observation 983c4e52-7fc4-464b-b10e-c99511ab1089 · inbound

Scattering Amplitudes as Programs: Self-Evolving Search for Theory and Event Generation cites this paper.

Scattering Amplitudes as Programs: Self-Evolving Search for Theory and Event Generation Simplifying Polylogarithms with Machine Learning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-02T06:16:16.857106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:16:16.857106Z digest=sha256:dbb020ec153ee8991de483fc93c56775c3841bdedafaadbdc2feca702a1fd3bf