Paper Citation Record · LEDGER

Point Cloud Transformers applied to Collider Physics

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2102.05073.

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

pith.paper-citation-record.v1
2102.05073 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:34:16.278225Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:50:00.307408Z

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 bc1e1a76-3a89-4c6f-9c91-1cf77d05a578 · inbound

Transformer networks for Heavy flavor jet tagging cites this paper.

Transformer networks for Heavy flavor jet tagging Point Cloud Transformers applied to Collider Physics

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-12T18:30:19.756385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 069e4353-3406-4aab-8a1c-af1d48d8b07f · inbound

Generating particle physics Lagrangians with transformers cites this paper.

Generating particle physics Lagrangians with transformers Point Cloud Transformers applied to Collider Physics

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:01.310269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dffe0bb0-72ab-4887-9e34-62578b85be6f · inbound

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

IAFormer: Interaction-Aware Transformer network for collider data analysis Point Cloud Transformers applied to Collider Physics

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:14:59.563065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e38093d3-dc50-434f-86a7-e3970040fbf5 · inbound

Deep Learning to Improve the Sensitivity of Higgs Pair Searches in the $4b$ Channel at the LHC cites this paper.

Deep Learning to Improve the Sensitivity of Higgs Pair Searches in the $4b$ Channel at the LHC Point Cloud Transformers applied to Collider Physics

Reference 129

Resolution: unresolved; no resolver link, observed 2026-08-15T23:34:16.278225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27481d46-bacf-4629-a456-91abd21d85df · 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 Point Cloud Transformers applied to Collider Physics

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-17T01:08:47.550329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e091a318-7219-459d-be3c-fc95ad46a01f · 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 Point Cloud Transformers applied to Collider Physics

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T18:00:46.530271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2020509-c8a7-4ef3-be82-6e42a35c54dd · inbound

Application of Deep Learning to Jet Charge Discrimination cites this paper.

Application of Deep Learning to Jet Charge Discrimination Point Cloud Transformers applied to Collider Physics

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T17:50:00.308991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e4bc15a5-5c65-4710-85da-b9523329f387 · 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 Point Cloud Transformers applied to Collider Physics

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-30T23:56:38.632404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 902ab093-c62a-4877-8ed8-c344324e3039 · inbound

Generative Amplification with Surrogate Monte Carlo cites this paper.

Generative Amplification with Surrogate Monte Carlo Point Cloud Transformers applied to Collider Physics

Reference 291

Resolution: unresolved; no resolver link, observed 2026-08-15T14:39:57.743972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.