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Paper Citation Record · LEDGER

ShadowGPT: Learning to Solve Quantum Many-Body Problems from Randomized Measurements

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.03285.

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

pith.paper-citation-record.v1
2411.03285 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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:52:07.545740Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T05:50:40.142148Z

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 9f991407-19f8-47c6-8e2e-e431713db675 · inbound

Sequence-Model-Guided Measurement Selection for Quantum State Learning cites this paper.

Sequence-Model-Guided Measurement Selection for Quantum State Learning ShadowGPT: Learning to Solve Quantum Many-Body Problems from Randomized Measurements

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T17:52:07.545740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:07.545740Z digest=sha256:9c4add70c86ab14943c80c63704f0698c887b49026eae3ceaa889b56cbe8ebfb

Observation 1eab512e-2e7c-4375-b606-584cded567c3 · inbound

Artificial intelligence for representing and characterizing quantum systems cites this paper.

Artificial intelligence for representing and characterizing quantum systems ShadowGPT: Learning to Solve Quantum Many-Body Problems from Randomized Measurements

Reference 289

Resolution
verified exact
local_arxiv, observed 2026-08-05T05:50:40.147156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:50:39.894233Z digest=sha256:0d7e81b4a9ce2c12cbd3f05abb11f294b919d1776f392bb6122040036b468309