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Paper Citation Record · LEDGER

Learning ground states of quantum Hamiltonians with graph networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.06390.

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

pith.paper-citation-record.v1
2110.06390 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:03:49.549537Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T03:34:13.114725Z

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 f611837d-fc14-4fc0-803d-0c3f6cda3891 · inbound

Learning Causality for Modern Machine Learning cites this paper.

Learning Causality for Modern Machine Learning Learning ground states of quantum Hamiltonians with graph networks

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T01:03:49.549537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:03:49.549537Z digest=sha256:c7357d759978a302983c33e8e1a80884d499c3a10cb5eddefcd67d2c10b2b0e2

Observation 74a575fd-8e25-4c78-8cbc-7fdfc6d1c9dc · inbound

NQS-Agent: Health-Aware Agentic Hyperparameter Optimization for Neural-Network Quantum States cites this paper.

NQS-Agent: Health-Aware Agentic Hyperparameter Optimization for Neural-Network Quantum States Learning ground states of quantum Hamiltonians with graph networks

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-30T03:34:13.116353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T03:32:57.864286Z digest=sha256:cd0b97961d50ffbf10a2b032a1b2d9257bd8fb5d35ce03f5bd72bff2838247c2