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Paper Citation Record · LEDGER

Scalably learning quantum many-body Hamiltonians from dynamical data

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2209.14328.

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

pith.paper-citation-record.v1
2209.14328 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:59:56.729596Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T01:09:19.646435Z

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 92b967e9-d3a9-4528-9f5a-7f3b62673bb2 · inbound

The power and limitations of learning quantum dynamics incoherently cites this paper.

The power and limitations of learning quantum dynamics incoherently Scalably learning quantum many-body Hamiltonians from dynamical data

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-06-10T02:11:07.639830Z

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=2026-05-24T10:08:26.623002Z digest=sha256:32378c71a46bccb90d3787f9571e4b727c496cf97ac1bed42ab1c4c3e7c6abd3

Observation 710d7faf-2336-41aa-ab91-6deb07dbd839 · inbound

Benchmarking Digital-Analog Quantum Computation cites this paper.

Benchmarking Digital-Analog Quantum Computation Scalably learning quantum many-body Hamiltonians from dynamical data

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-06-10T02:11:07.639830Z

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=2026-05-24T07:45:07.469424Z digest=sha256:e6b5955967f45d2ee90ec593a9736a7b48593c8538db7c7099f96afb5acadcd7

Observation c8a47b50-66a2-4161-a6ad-4c2f17ce38eb · inbound

Optimal Ansatz-free Hamiltonian Learning In Situ cites this paper.

Optimal Ansatz-free Hamiltonian Learning In Situ Scalably learning quantum many-body Hamiltonians from dynamical data

Reference 21

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T01:09:19.647619Z

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=2026-06-26T20:36:50.049535Z digest=sha256:a0dac3ac6a16234d81bab5fdfe270d82bff56c9938fb05b5549fd5a0f64ea7eb

Observation 6a3a4e4c-e943-4242-b1ff-e4d07882aa15 · inbound

Optimal Ansatz-free Hamiltonian Learning In Situ cites this paper.

Optimal Ansatz-free Hamiltonian Learning In Situ Scalably learning quantum many-body Hamiltonians from dynamical data

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-02T10:59:56.729596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:59:56.729596Z digest=sha256:9697228f4cd114485e96670e31b3a6cbe115474e7b1487ab0fa5260743b007aa

Observation dc7c46ff-2254-46be-b1d2-30d8d8aa17fb · inbound

Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification cites this paper.

Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification Scalably learning quantum many-body Hamiltonians from dynamical data

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T02:00:37.759252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:00:37.759252Z digest=sha256:20319431f192263252cc11943e7759650b2b295a55f0ade5e291f7f7aa91d946