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Paper Citation Record · LEDGER

Towards Machine Learning Analytics for Jet Substructure

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2007.04319.

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

pith.paper-citation-record.v1
2007.04319 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:44:15.711398Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:44:16.452916Z

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 9ffee29c-0df5-494f-9eea-b621fe526884 · inbound

A Step Toward Interpretability: Smearing the Likelihood cites this paper.

A Step Toward Interpretability: Smearing the Likelihood Towards Machine Learning Analytics for Jet Substructure

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:44:16.457570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:44:15.711398Z digest=sha256:4a738b3d3e53ff94a1e1c145f0412f7be6aac2991aaaa6c8585a22df2bfd55c6

Observation 0140236c-8ec6-4b2a-af1f-46de872c79c8 · inbound

The Scaffold Effect: How Prompt Framing Drives Apparent Multimodal Gains in Clinical VLM Evaluation cites this paper.

The Scaffold Effect: How Prompt Framing Drives Apparent Multimodal Gains in Clinical VLM Evaluation Towards Machine Learning Analytics for Jet Substructure

Reference 112

Resolution
unresolved
no resolver link, observed 2026-07-13T16:22:37.330753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T16:22:37.330753Z digest=sha256:379cbb62b5b0d6e8f63744ae1f275f200cc0fdd9f04aecf89f5f79902aab9408