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Paper Citation Record · LEDGER

Low-degree learning and the metric entropy of polynomials

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.09659.

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

pith.paper-citation-record.v1
2203.09659 v4

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:56:58.650491Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T16:14:25.390984Z

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 cfad7546-c755-4b57-b26e-59b70bec8fd0 · inbound

Quantum circuit lower bounds in the magic hierarchy cites this paper.

Quantum circuit lower bounds in the magic hierarchy Low-degree learning and the metric entropy of polynomials

Reference 2000

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:58.650491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:58.650491Z digest=sha256:1d3c363da67ed342549b9cf479a4502f75dd32243132f21a3f2a9d711b101788

Observation fd53f49e-fe79-4199-bc38-00735741be50 · inbound

Entropy and Learning of Lipschitz Functions under Log-Concave Measures cites this paper.

Entropy and Learning of Lipschitz Functions under Log-Concave Measures Low-degree learning and the metric entropy of polynomials

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-15T16:14:25.395566Z

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=arxiv_source observed=2026-08-15T16:14:25.268690Z digest=sha256:cb63ee842b8634b1b12e0bab6bf63721067d0a0d3e68bf2f419310b19b437e04