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Paper Citation Record · LEDGER

Jet tomography in heavy ion collisions with deep learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2106.11271.

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

pith.paper-citation-record.v1
2106.11271 v2

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 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:17:15.746020Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:58:54.774638Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
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  • 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 33ff444b-0d70-4c16-8fc6-44a38b5ba8bd · inbound

Constraining Jet Quenching in Heavy-Ion Collisions with Bayesian Inference cites this paper.

Constraining Jet Quenching in Heavy-Ion Collisions with Bayesian Inference Jet tomography in heavy ion collisions with deep learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T15:17:15.746020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:17:15.746020Z digest=sha256:cb19424a658c3821c6a0f43d8fbaa9fd463643ac502f46698f36a1f1ffb15d6b

Observation c5ccc36d-826b-43bd-bda1-a36e9fcac6e5 · inbound

High-Dimensional Unfolding in Large Backgrounds cites this paper.

High-Dimensional Unfolding in Large Backgrounds Jet tomography in heavy ion collisions with deep learning

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:52.872798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:52.872798Z digest=sha256:10081f202ccb5d2b449922eae4f4be03e557c7dde6e17e6e29687bad80660301

Observation 7a2a26ed-f75c-4848-bcc0-c1800ee04c8c · inbound

Heavy Quarkonium Spectrum and Decay Constants from a Neural-Network-Based Holographic Model cites this paper.

Heavy Quarkonium Spectrum and Decay Constants from a Neural-Network-Based Holographic Model Jet tomography in heavy ion collisions with deep learning

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-03T08:12:16.724975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:12:16.724975Z digest=sha256:998dafbd926325e76e93741048b541ae79f7c2017a67773da2bba75df6dc845a

Observation 66b2a6dd-4f48-4ed6-bb40-1df7798ccaa0 · inbound

Unified Extraction of In-Medium Heavy Quark Potentials from RHIC to LHC Energies via Deep Learning cites this paper.

Unified Extraction of In-Medium Heavy Quark Potentials from RHIC to LHC Energies via Deep Learning Jet tomography in heavy ion collisions with deep learning

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:56:00.360124Z

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=2026-05-10T17:23:12.933048Z digest=sha256:75f014d124a3cf8be62c83aea72f3e634f10d5e604fa582ba1b73c892bdabbbf

Observation 96863c21-b3ef-40ce-859c-7257c5ea908e · inbound

Local Conformal Predictions for Calibrated Surrogates cites this paper.

Local Conformal Predictions for Calibrated Surrogates Jet tomography in heavy ion collisions with deep learning

Reference 216

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:58:54.775947Z

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=arxiv_source observed=2026-07-03T19:29:34.070294Z digest=sha256:81612d9805ff9490e89dfe026eb8fbe2990e1b58d7bbc9beb2cb943024ef09eb