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Paper Citation Record · LEDGER

Fast Mixing in Sparse Random Ising Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.06616.

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

pith.paper-citation-record.v1
2405.06616 v2

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:19:00.633071Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T14:02:07.701638Z

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 d1b8f3b1-8cbf-46cd-9d1d-a2b9131d2887 · inbound

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models cites this paper.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Fast Mixing in Sparse Random Ising Models

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:02:07.709837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:02:07.556498Z digest=sha256:39bf0857cacc719367e509c11dcdf4cba89970d96649e3bd67c587f268887fbf

Observation b50da28a-e584-49d4-8d67-380cbf6d5bcd · inbound

TCS-BENCH: Benchmarking State-of-the-Art Generative AI Theoretical Computer Science Research Ability cites this paper.

TCS-BENCH: Benchmarking State-of-the-Art Generative AI Theoretical Computer Science Research Ability Fast Mixing in Sparse Random Ising Models

Reference 143

Resolution
unresolved
no resolver link, observed 2026-08-14T04:19:00.633071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:19:00.633071Z digest=sha256:6d07d16e689c34f62482b3d6d634a5385de00308c8413944d1bf4518704eda10