Paper Citation Record · LEDGER

Learning to Simulate High Energy Particle Collisions from Unlabeled Data

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2101.08944.

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

pith.paper-citation-record.v1
2101.08944 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:48:37.578959Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:58:54.730964Z

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 5352de10-7b29-4c40-b882-6f687a774d9c · inbound

Simulation-Prior Independent Neural Unfolding Procedure cites this paper.

Simulation-Prior Independent Neural Unfolding Procedure Learning to Simulate High Energy Particle Collisions from Unlabeled Data

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T15:48:37.578959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3458c20-14ba-4b4b-885e-b93b7bec4fca · inbound

Toward an event-level analysis of hadron structure using differential programming cites this paper.

Toward an event-level analysis of hadron structure using differential programming Learning to Simulate High Energy Particle Collisions from Unlabeled Data

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T15:29:53.350056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f81a66b-0bf1-45cc-8e6f-ac0c00301e2e · inbound

Reweighting Adversarial Networks for Unbinned Unfolding cites this paper.

Reweighting Adversarial Networks for Unbinned Unfolding Learning to Simulate High Energy Particle Collisions from Unlabeled Data

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-02T14:27:03.829684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 886c5f72-a34c-4f0b-8b51-2b8e686c2c53 · inbound

Local Conformal Predictions for Calibrated Surrogates cites this paper.

Local Conformal Predictions for Calibrated Surrogates Learning to Simulate High Energy Particle Collisions from Unlabeled Data

Reference 252

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:58:54.732237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.