Paper Citation Record · LEDGER

OmniJet-${\alpha}_C$: Learning point cloud calorimeter simulations using generative transformers

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2501.05534.

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

pith.paper-citation-record.v1
2501.05534 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:13:22.577681Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:39:46.488422Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 c613a9fb-16e3-495c-994f-d0bd57bb7308 · inbound

Generative Models for Fast Simulation of Cherenkov Detectors at the Electron-Ion Collider cites this paper.

Generative Models for Fast Simulation of Cherenkov Detectors at the Electron-Ion Collider OmniJet-${\alpha}_C$: Learning point cloud calorimeter simulations using generative transformers

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:22.577681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44dd5554-8b58-4ac9-86eb-5da86eb0d21e · inbound

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data cites this paper.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data OmniJet-${\alpha}_C$: Learning point cloud calorimeter simulations using generative transformers

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T21:54:10.038211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe168150-8e72-412d-93f7-533654a00e1f · inbound

A Generalisable Generative Model for Multi-Detector Calorimeter Simulation cites this paper.

A Generalisable Generative Model for Multi-Detector Calorimeter Simulation OmniJet-${\alpha}_C$: Learning point cloud calorimeter simulations using generative transformers

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T21:53:48.144757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 293e441e-5f49-4274-b6a2-378f1c94bd3b · inbound

GPT-like transformer model for silicon tracking detector simulation cites this paper.

GPT-like transformer model for silicon tracking detector simulation OmniJet-${\alpha}_C$: Learning point cloud calorimeter simulations using generative transformers

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T13:27:36.581788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f9639d3-edaf-43e8-b94c-259bc69ed84c · inbound

A universal vision transformer for fast calorimeter simulations cites this paper.

A universal vision transformer for fast calorimeter simulations OmniJet-${\alpha}_C$: Learning point cloud calorimeter simulations using generative transformers

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T12:08:17.564829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ecf1b31-31c1-471a-82c3-ecda26ddf254 · inbound

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters cites this paper.

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters OmniJet-${\alpha}_C$: Learning point cloud calorimeter simulations using generative transformers

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:06:41.195323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e65b3da5-779d-40c6-901a-ab2c2fe0053a · inbound

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters cites this paper.

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T12:30:37.474410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ebb81f2-03f9-4931-a0b2-096fc91e8e10 · inbound

SPADE: Split-and-Delay Embeddings for Autoregressive High-Granularity Calorimeter Simulation cites this paper.

SPADE: Split-and-Delay Embeddings for Autoregressive High-Granularity Calorimeter Simulation OmniJet-${\alpha}_C$: Learning point cloud calorimeter simulations using generative transformers

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:57:48.012388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 02a7e17e-b2ca-4706-ba66-de080c1c6e88 · inbound

One Generator, Any Process: LLM-Conditioning for the LHC cites this paper.

One Generator, Any Process: LLM-Conditioning for the LHC OmniJet-${\alpha}_C$: Learning point cloud calorimeter simulations using generative transformers

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:39:46.489952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a65c9325-8195-49b8-8300-cf8b2ea61f16 · inbound

One Generator, Any Process: LLM-Conditioning for the LHC cites this paper.

One Generator, Any Process: LLM-Conditioning for the LHC OmniJet-${\alpha}_C$: Learning point cloud calorimeter simulations using generative transformers

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-06-30T10:14:36.058410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.