Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Interpreting the 750 GeV Di-photon Resonance using photon-jets in Hidden-Valley-like models
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1512.06671.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-10T11:52:41.218796Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T11:57:03.294046Z
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 a1cb671b-863e-41b1-b888-851ef9b9a4c2 · inbound
Transformer-based machine learning using low-level calorimeter signals for collimated photon identification at collider experiments cites this paper.
Transformer-based machine learning using low-level calorimeter signals for collimated photon identification at collider experiments Interpreting the 750 GeV Di-photon Resonance using photon-jets in Hidden-Valley-like models
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T11:57:03.295987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.