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Paper Citation Record · LEDGER

Particle Convolution for High Energy Physics

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2107.02908.

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

pith.paper-citation-record.v1
2107.02908 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:33:45.010405Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T17:14:59.524859Z

Reference resolution

0 of 0 outbound references displayed

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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 517983a1-358b-451b-bdce-ded4989582d9 · inbound

Learning Broken Symmetries with Approximate Invariance cites this paper.

Learning Broken Symmetries with Approximate Invariance Particle Convolution for High Energy Physics

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T04:33:45.010405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c4cde55a-740f-44d7-84bd-1fd006ae2f29 · inbound

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

IAFormer: Interaction-Aware Transformer network for collider data analysis Particle Convolution for High Energy Physics

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-22T17:14:59.526873Z

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.

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Observation 4c7f9922-fde7-4285-8e88-bbadda448c54 · inbound

KIGNet: Physics-Motivated Multi-Graph Representation Learning for Explainable Jet Tagging cites this paper.

KIGNet: Physics-Motivated Multi-Graph Representation Learning for Explainable Jet Tagging Particle Convolution for High Energy Physics

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:08:47.538668Z

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=2026-05-17T01:05:39.461265Z digest=sha256:df7a9a398110f61358085827dd753d3f5a9999f87edd17c6772059e7c65902a4

Observation d3bcc87e-fe05-4997-aeda-2cf9a2052335 · inbound

KIGNet: Physics-Motivated Multi-Graph Representation Learning for Explainable Jet Tagging cites this paper.

KIGNet: Physics-Motivated Multi-Graph Representation Learning for Explainable Jet Tagging Particle Convolution for High Energy Physics

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T18:00:46.641183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:00:46.641183Z digest=sha256:60052965a322d187ca29bb593fc91c99aa197ebf54ec2f8b7e9ec62387061b50

Observation 2cf05f50-a3fc-4e7b-8516-7e1e81f5a055 · inbound

Predict before you train: Scaling Laws for particle physics foundation models cites this paper.

Predict before you train: Scaling Laws for particle physics foundation models Particle Convolution for High Energy Physics

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-30T23:56:38.648471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T23:56:38.648471Z digest=sha256:ebb3d896cac5d2bd16ba5975a16b4004437aef72abc1db06ee0d3cb394c8b26d