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Paper Citation Record · LEDGER

RydbergGPT

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.21052.

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

pith.paper-citation-record.v1
2405.21052 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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:52:07.553503Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T09:18:32.078351Z

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 9d634dc9-fe26-44fb-b8d2-61ea9f1e7551 · inbound

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

Sequence-Model-Guided Measurement Selection for Quantum State Learning RydbergGPT

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T17:52:07.553503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:07.553503Z digest=sha256:b9e9181405e375a65a89dc4521e5df595a84bf35c284bec164dadb136217aa35

Observation 8fe6819b-947e-4867-8dac-9b333615a3de · inbound

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

Artificial intelligence for representing and characterizing quantum systems RydbergGPT

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-05T05:50:39.057425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:50:39.057425Z digest=sha256:fc3c600291dcdd3c9441ddfa00a1308cff4027a6c3bfc86b11dbe54424b73d4b

Observation 77d9f8d9-950d-4663-a9b8-af48795ff561 · inbound

Discovering quantum phenomena with Interpretable Machine Learning cites this paper.

Discovering quantum phenomena with Interpretable Machine Learning RydbergGPT

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:18:32.080841Z

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=2026-05-10T08:02:55.952334Z digest=sha256:068c53c43f3cf956eae64768bb9b7b75970e260f37a06964fae45614152c8470