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Paper Citation Record · LEDGER

MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2101.08578.

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

pith.paper-citation-record.v1
2101.08578 v3

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 2026-08-12T18:30:19.641809Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T21:28:23.094789Z

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 e5447850-8555-4273-8227-73cad7f37a7d · inbound

Transformer networks for Heavy flavor jet tagging cites this paper.

Transformer networks for Heavy flavor jet tagging MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-12T18:30:19.641809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:30:19.641809Z digest=sha256:7df0afc3308d079bf31e1534f3103232e1cee97ade530fe5e30cd452dee586d6

Observation ab1acef6-4e29-4049-9f7f-31a57c1ed076 · inbound

Learning Symmetry-Independent Jet Representations via Jet-Based Joint Embedding Predictive Architecture cites this paper.

Learning Symmetry-Independent Jet Representations via Jet-Based Joint Embedding Predictive Architecture MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:28:23.142060Z

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=pdf_text observed=2026-08-11T21:28:21.987724Z digest=sha256:b2aec9670565a1e981962f232553dfb6076aa1d828d3619c2ffe1e1afd27e021