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Paper Citation Record · LEDGER

Machine learning phase transitions: Connections to the Fisher information

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.10710.

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

pith.paper-citation-record.v1
2311.10710 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 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:18:05.743533Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:25:51.836590Z

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 1720b9f2-3c0b-45e2-b799-c6e6869a0778 · inbound

Machine learning the Ising transition: A comparison between discriminative and generative approaches cites this paper.

Machine learning the Ising transition: A comparison between discriminative and generative approaches Machine learning phase transitions: Connections to the Fisher information

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T10:18:05.743533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:18:05.743533Z digest=sha256:5933787c98755cfa3ef845fc4ac028bd846ade27ab7b855265c4918beb0e5009

Observation c0993cda-b5d8-4082-9299-5fb20b40f175 · inbound

Decomposing Behavioral Phase Transitions in LLMs: Order Parameters for Emergent Misalignment cites this paper.

Decomposing Behavioral Phase Transitions in LLMs: Order Parameters for Emergent Misalignment Machine learning phase transitions: Connections to the Fisher information

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T15:18:42.981954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:18:42.981954Z digest=sha256:f2208898ae801c570489c39283dff04bc3848e2b6c8576c7f6c831b849f7b68c

Observation 689ccca4-7e3b-4fa1-b693-0f2ddbd4a0a0 · inbound

Hybrid quantum-classical neural network for sample-efficient recognition of topological phases cites this paper.

Hybrid quantum-classical neural network for sample-efficient recognition of topological phases Machine learning phase transitions: Connections to the Fisher information

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-07-01T17:25:51.837931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T03:43:41.508643Z digest=sha256:c7722427cf28c9d908ba16d94eb33520bc8f499f544819d42316d3fd05ca247b