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Paper Citation Record · LEDGER

ABCNet: An attention-based method for particle tagging

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2001.05311.

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

pith.paper-citation-record.v1
2001.05311 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 2026-08-10T19:48:01.301715Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T17:14:59.630625Z

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 ca033346-b14f-4db8-baa7-f8a752600e35 · inbound

Generating particle physics Lagrangians with transformers cites this paper.

Generating particle physics Lagrangians with transformers ABCNet: An attention-based method for particle tagging

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T19:48:01.301715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:48:01.301715Z digest=sha256:b610cdf0aaa3159a54a4f85b2c4ee959be23fcc3fca699a1224cc0063fa5afcd

Observation 0fcdfbd1-17ad-4ce1-a500-96bccd845ed6 · inbound

IAFormer: Interaction-Aware Transformer network for collider data analysis cites this paper.

IAFormer: Interaction-Aware Transformer network for collider data analysis ABCNet: An attention-based method for particle tagging

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-22T17:14:59.636026Z

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=2026-05-22T17:13:47.293753Z digest=sha256:e730bfa7e24dc6bc22bd4f81dabb35905212bd2ab43702327b9f1f4f8797ae7f