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Paper Citation Record · LEDGER

Speak so a physicist can understand you! TetrisCNN for detecting phase transitions and order parameters

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.02237.

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

pith.paper-citation-record.v1
2411.02237 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 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:26:44.814550Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T09:18:32.058618Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
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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 b01d29d0-e215-43e5-8932-23ba5eb3af3a · inbound

Learning interactions between Rydberg atoms cites this paper.

Learning interactions between Rydberg atoms Speak so a physicist can understand you! TetrisCNN for detecting phase transitions and order parameters

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-11T14:29:12.857470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:29:12.857470Z digest=sha256:eade89fd133433e329b1a04454231169c436fc7e18b93d145154f1f91fdc309f

Observation a3299934-1583-4ed8-bfa9-786078ca67fe · inbound

Opportunities and limitations of explaining quantum machine learning cites this paper.

Opportunities and limitations of explaining quantum machine learning Speak so a physicist can understand you! TetrisCNN for detecting phase transitions and order parameters

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-11T12:02:09.242015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:02:09.242015Z digest=sha256:ba894a375451eff808e720c5e731080859c9bd2c9e68a3a43ff3c6aea1882e72

Observation 81b91ad9-d5ae-4c81-8aa3-134f8a603b67 · inbound

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow cites this paper.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Speak so a physicist can understand you! TetrisCNN for detecting phase transitions and order parameters

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T17:26:44.814550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:26:44.814550Z digest=sha256:109b46d100f4c6e91febf40d31dd6c6dfac17bfa8de9d5496d4d89bd3bdca145

Observation 47bafba5-4bb8-48fe-961c-9667683f709b · inbound

Machine learning applications in cold atom quantum simulators cites this paper.

Machine learning applications in cold atom quantum simulators Speak so a physicist can understand you! TetrisCNN for detecting phase transitions and order parameters

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T16:17:07.720348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:17:07.720348Z digest=sha256:82299325ef814fb74b757b982f178ed2a152c19aa35fa035cfc86f7019efc25b

Observation b31db4cd-1a06-478f-9989-eac9719e3ff1 · inbound

Discovering quantum phenomena with Interpretable Machine Learning cites this paper.

Discovering quantum phenomena with Interpretable Machine Learning Speak so a physicist can understand you! TetrisCNN for detecting phase transitions and order parameters

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:18:32.060416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T08:02:55.952334Z digest=sha256:43610b0d7dd79408e05c4360969b4ef9abd800c557ff5285e8f61a7ed5e89af4