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Paper Citation Record · LEDGER

Deep learning quantum Monte Carlo for solids

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.00707.

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

pith.paper-citation-record.v1
2407.00707 v1

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:47:13.362161Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T11:59:16.296393Z

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 1e954697-b6db-4508-853d-9ad214a37180 · inbound

Probing quantum critical phase from neural network wavefunction cites this paper.

Probing quantum critical phase from neural network wavefunction Deep learning quantum Monte Carlo for solids

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T05:47:13.362161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:47:13.362161Z digest=sha256:94a068308f0b9193b540a18f7ea1783efa51096536b8351db9b5e060035588e5

Observation 81a215ff-4e30-4f8f-9800-de43c444474e · inbound

Taming Landau level mixing in fractional quantum Hall states with deep learning cites this paper.

Taming Landau level mixing in fractional quantum Hall states with deep learning Deep learning quantum Monte Carlo for solids

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-11T11:59:16.304433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:59:15.977657Z digest=sha256:2c59d3440800bfc2336b5104fb34082bd881722c1a7c0129e9ffc61b49726716