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Paper Citation Record · LEDGER

Explaining machine-learned particle-flow reconstruction

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2111.12840.

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

pith.paper-citation-record.v1
2111.12840 v1

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 2026-08-10T21:56:24.811870Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T05:51:27.923161Z

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 a09f2c04-5540-4511-b731-b554729625d2 · inbound

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection cites this paper.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Explaining machine-learned particle-flow reconstruction

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T21:56:24.811870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:56:24.811870Z digest=sha256:3a989242bffed57eecd75374246f6315e663d613c562465598e0c698d2c5885d

Observation e538f6cf-7aae-48f1-97a5-d20dc240d110 · inbound

Dissecting Jet-Tagger Through Mechanistic Interpretability cites this paper.

Dissecting Jet-Tagger Through Mechanistic Interpretability Explaining machine-learned particle-flow reconstruction

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:51:27.925735Z

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=2026-05-12T04:49:09.296991Z digest=sha256:61aa02e85d04cd06ffb2050595bf152e65cc1bf094962060311a2f31e92b4259