Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Study of energy deposition patterns in hadron calorimeter for prompt and displaced jets using convolutional neural network
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1904.04811.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:49:13.580797Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T12:16:07.544920Z
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 31a20b05-7824-421c-8708-260bf523addb · inbound
Boosted $W/Z$ Tagging with Jet Charge and Deep Learning cites this paper.
Boosted $W/Z$ Tagging with Jet Charge and Deep Learning Study of energy deposition patterns in hadron calorimeter for prompt and displaced jets using convolutional neural network
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:49:13.580797Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b9b7305-77e4-4249-92cb-38f246c0f6f2 · inbound
A new approach to long-lived particle detection at hadron colliders: the $\textsf{DELIGHT-SHIELD}$ concept cites this paper.
A new approach to long-lived particle detection at hadron colliders: the $\textsf{DELIGHT-SHIELD}$ concept Study of energy deposition patterns in hadron calorimeter for prompt and displaced jets using convolutional neural network
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:16:07.548612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.