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Paper Citation Record · LEDGER

Diversity in Fermi/GBM Gamma Ray Bursts: New insights from Machine Learning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.05005.

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

pith.paper-citation-record.v1
2406.05005 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:41:09.299573Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:44:47.285772Z

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 b5c326bc-78c6-4a67-999e-a70874ea758e · inbound

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning cites this paper.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning Diversity in Fermi/GBM Gamma Ray Bursts: New insights from Machine Learning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.299573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.299573Z digest=sha256:dce5ebf87e63576587869c3457e99d333f146f4592b63c146e8f5d76f8ff1b1e

Observation 7c975d81-d5c7-41cb-bbc8-5de7396e4dea · inbound

Identifying potential binary neutron star merger events from the Fermi GBM Gamma-Ray Burst Catalog cites this paper.

Identifying potential binary neutron star merger events from the Fermi GBM Gamma-Ray Burst Catalog Diversity in Fermi/GBM Gamma Ray Bursts: New insights from Machine Learning

Reference 89

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T14:44:47.427472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-06T14:44:47.197558Z digest=sha256:5af90dc83eae768316b65856380a0c34c6b875f530d11c16a7539ef2715b27eb