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Paper Citation Record · LEDGER

Jet tomography in heavy ion collisions with deep learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:14:52.872798Z

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

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  • 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 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=sha256:6b619c8dc410e29d28ae3f15df01a8c5f9ba80aacf078f8ec87244087509642d

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=sha256:50223da61889a1f6473cc6da972dfa275a6091b3ebed91b3ae216e5e9d9f06ca

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:23:12.933048Z digest=sha256:58ce64631bc72b7189f0509cbd4d2c26ff650a4149269abf54ddac94d252d568

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-03T19:29:34.070294Z digest=sha256:3f69b1bcf3612363c4f9d042b6b5640d41eed96cfd04b503cf96c7a967137053