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Paper Citation Record · LEDGER

Probing criticality with deep learning in relativistic heavy-ion collisions

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2107.11828.

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

pith.paper-citation-record.v1
2107.11828 v2

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 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:39:57.518957Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:58:54.806922Z

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 e3c34e7d-7247-479f-9b34-a87b0d842c0c · inbound

Local Conformal Predictions for Calibrated Surrogates cites this paper.

Local Conformal Predictions for Calibrated Surrogates Probing criticality with deep learning in relativistic heavy-ion collisions

Reference 253

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:58:54.808245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-07-03T19:29:34.070294Z digest=sha256:ba21a1cb8844586375c5a287bcaa80d6fbf549eee47f4cbcda93d0d6470c5659

Observation 2fff3d34-2213-40a9-9458-4e73fa80df0c · inbound

Generative Amplification with Surrogate Monte Carlo cites this paper.

Generative Amplification with Surrogate Monte Carlo Probing criticality with deep learning in relativistic heavy-ion collisions

Reference 241

Resolution
unresolved
no resolver link, observed 2026-08-15T14:39:57.518957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:39:57.518957Z digest=sha256:c1507f1c0fe75556299b7fb739679b35db2a6529feaf99a140f6cf3c15b4b9b0

Observation 73020c7e-a0f4-4523-909e-2cf1e815c921 · inbound

Topological analysis of scale-invariant spatial fluctuations in ultrarelativistic heavy-ion collisions cites this paper.

Topological analysis of scale-invariant spatial fluctuations in ultrarelativistic heavy-ion collisions Probing criticality with deep learning in relativistic heavy-ion collisions

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-12T00:17:28.611354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:17:28.611354Z digest=sha256:edfe3ff062c7feec9547247fe27568e35e5cf11f48ab31e95842a0c42ba38f30