Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T21:53:55.004838Z
Paper Citation Record · LEDGER
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation
As of 16 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 7 inbound Pith citation observations for arXiv:2509.07700.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T13:27:36.639781Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
72 of 72 outbound references displayed
- verified exact1
- verified fuzzy49
- unresolved22
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation c8917e92-c384-4120-82ef-2ccb92b2d45b · outbound
This paper cites Geant4—a simulation toolkit.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Geant4—a simulation toolkit
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:12.107569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6e082fb1-47b9-4885-91bf-5903f0481574 · outbound
This paper cites Technical report, CERN, Geneva, 2022.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Technical report, CERN, Geneva, 2022
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:12.039596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1ebe7b90-e711-4d22-a5bb-14fb0b253f58 · outbound
This paper cites CMS Phase-2 Computing Model: Update Document.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation CMS Phase-2 Computing Model: Update Document
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:11.970766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 56185a3b-50fb-4c60-beb8-2ce01333951a · outbound
This paper cites Calogan: Simulating 3d high energy particle showers in multilayer electromagnetic calorimeters with generative adversarial networks.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Calogan: Simulating 3d high energy particle showers in multilayer electromagnetic calorimeters with generative adversarial networks
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:11.716606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5df85540-3c01-4dbc-a608-966baa36c70f · outbound
This paper cites Fast and Accurate Simulation of Particle Detectors Using Generative Adversarial Networks.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Fast and Accurate Simulation of Particle Detectors Using Generative Adversarial Networks
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:11.336858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4162b675-75f8-49f1-9e2d-764113cab12f · outbound
This paper cites Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:10.901759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4e2f83d5-438f-4869-8d70-82c6c301af61 · outbound
This paper cites Fast simulation of a high granularity calorimeter by generative adversarial networks.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Fast simulation of a high granularity calorimeter by generative adversarial networks
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:10.568672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 09f2336f-de26-4246-9d24-eac64063e56a · outbound
This paper cites an unresolved cited work.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:54:10.218061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ff54110d-1db6-4186-bb9d-fd5988979aea · outbound
This paper cites Deep generative models for fast shower simulation in ATLAS.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Deep generative models for fast shower simulation in ATLAS
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:09.855847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bc9c37ca-8069-444f-8799-34bbe1b1ace2 · outbound
This paper cites Buhmann, S.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Buhmann, S
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:09.607419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6ed4844c-37c1-4480-bef9-0be8bc2f7875 · outbound
This paper cites Cresswell, Brendan Leigh Ross, Gabriel Loaiza-Ganem, Hum- berto Reyes-Gonzalez, Marco Letizia, and Anthony L.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Cresswell, Brendan Leigh Ross, Gabriel Loaiza-Ganem, Hum- berto Reyes-Gonzalez, Marco Letizia, and Anthony L
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:09.315469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ed01a85f-881e-4b48-ab93-e913ae1debf4 · outbound
This paper cites New angles on fast calorimeter shower simulation.Mach.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation New angles on fast calorimeter shower simulation.Mach
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:09.031739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 40c84e7d-b056-4236-a167-b33ebce680b9 · outbound
This paper cites Metahep: Meta learning for fast shower simulation of high energy physics experiments.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Metahep: Meta learning for fast shower simulation of high energy physics experiments
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:08.815197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f0912d3c-e661-4162-9269-a52dad5f5bcc · outbound
This paper cites Transformers for generalized fast shower simulation.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Transformers for generalized fast shower simulation
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:08.596239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7c19b09d-15a2-4fcb-a6ef-eb94128f2388 · outbound
This paper cites Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:53:45.144857Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6488342-84b1-466b-8d8e-c5de108732c9 · outbound
This paper cites Fast and accurate simulations of calorimeter showers with normalizing flows.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Fast and accurate simulations of calorimeter showers with normalizing flows
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:08.257904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1586b3e6-98f8-4606-b888-19d55b495213 · outbound
This paper cites Accelerating accurate simulations of calorimeter showers with normalizing flows and probability density distillation.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Accelerating accurate simulations of calorimeter showers with normalizing flows and probability density distillation
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:07.967234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5826e3be-e909-4bf9-b0ea-e17a70417aad · outbound
This paper cites L2LFlows: generating high-fidelity 3D calorimeter images.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation L2LFlows: generating high-fidelity 3D calorimeter images
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:07.657510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 747331bc-11de-458e-b458-199c9d47596d · outbound
This paper cites Normalizing Flows for High-Dimensional Detector Simulations.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Normalizing Flows for High-Dimensional Detector Simulations
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:07.336845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0bf015ae-5a51-4846-9464-ffa192042cc5 · outbound
This paper cites Convolu- tional L2LFlows: generating accurate showers in highly granular calorimeters using convolu- tional normalizing flows.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Convolu- tional L2LFlows: generating accurate showers in highly granular calorimeters using convolu- tional normalizing flows
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:06.953590Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9c6cfafd-d943-4d7a-9dee-b579b56a1168 · outbound
This paper cites Score-based generative models for calorimeter shower simulation.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Score-based generative models for calorimeter shower simulation
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:06.710037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1f21b553-288d-49df-b620-bab3041b6325 · outbound
This paper cites CaloClouds: fast geometry- independent highly-granular calorimeter simulation.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation CaloClouds: fast geometry- independent highly-granular calorimeter simulation
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:06.489229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 90f54671-3599-4b23-a5f1-199648d428b7 · outbound
This paper cites Denoising diffusion models with geometry adaptation for high fidelity calorimeter simulation.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Denoising diffusion models with geometry adaptation for high fidelity calorimeter simulation
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:06.258894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation be2b391b-65a8-49a5-8e16-b2a9b16405e8 · outbound
This paper cites CaloScore v2: single-shot calorimeter shower simulation with diffusion models.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation CaloScore v2: single-shot calorimeter shower simulation with diffusion models
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:05.915373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b2cc7042-d93d-4750-be54-ce4c03a6849b · outbound
This paper cites CaloClouds II: ultra-fast geometry-independent highly-granular calorime- ter simulation.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation CaloClouds II: ultra-fast geometry-independent highly-granular calorime- ter simulation
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:05.608735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2fc20330-3be0-4cbb-afb3-332db76797e1 · outbound
This paper cites CaloDREAM – Detector Response Emulation via Attentive flow Matching.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation CaloDREAM – Detector Response Emulation via Attentive flow Matching
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:05.268583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a96b981c-102e-444b-9902-19b57bd0993c · outbound
This paper cites CaloHadronic: a diffusion model for the generation of hadronic showers.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation CaloHadronic: a diffusion model for the generation of hadronic showers
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:04.988958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0e18c550-edc5-40cd-9852-1b29fef3db43 · outbound
This paper cites Calochallenge 2022: A community challenge for fast calorimeter simulation.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Calochallenge 2022: A community challenge for fast calorimeter simulation
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:53:46.576541Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7188a0b5-9e54-42e8-a803-8c392ce9147b · outbound
This paper cites AtlFast3: The Next Generation of Fast Simulation in ATLAS.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation AtlFast3: The Next Generation of Fast Simulation in ATLAS
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:04.680445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1318e3a5-8daf-49fa-9b14-6579bffc879f · outbound
This paper cites Par04 example.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Par04 example
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:04.454600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4670340e-fc2c-4746-a0da-a309386ec453 · outbound
This paper cites Benedikt et al.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Benedikt et al
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:04.140739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d5dfb226-a542-401d-8f8f-13b60b491c40 · outbound
This paper cites Deep generative models for fast shower simulation in atlas.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Deep generative models for fast shower simulation in atlas
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:03.883817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2c0f4c20-bdfd-4ebf-9129-219ce237283d · outbound
This paper cites Omnijet-α: the first cross-task foundation model for particle physics.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Omnijet-α: the first cross-task foundation model for particle physics
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:03.543523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cd3a6e7a-7f50-4673-a0f6-b5a53ebf7183 · outbound
This paper cites Improving language understanding by generative pre-training.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Improving language understanding by generative pre-training
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:53:47.714756Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bf8bceb-d36b-44f7-bd4b-e17fa62c4ba7 · outbound
This paper cites Robust training of vector quantized bottleneck models.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Robust training of vector quantized bottleneck models
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:03.250620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fe168150-8e72-412d-93f7-533654a00e1f · outbound
This paper cites OmniJet-${\alpha}_C$: Learning point cloud calorimeter simulations using generative transformers.
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 3cdb7741-ff5d-4922-8a98-977835d28991 · outbound
This paper cites On the Opportunities and Risks of Foundation Models.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation On the Opportunities and Risks of Foundation Models
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:53:48.245750Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aeb6f599-33d0-4811-84b4-6cdfbf16c22b · outbound
This paper cites A Generalist Agent.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation A Generalist Agent
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:53:48.365879Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3ef9629-5afa-4d9b-8046-7e9a6c596e79 · outbound
This paper cites Language models are few-shot learners.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Language models are few-shot learners
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:53:48.484764Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49bf0c72-8f62-4f21-a4d3-4a75dcd91923 · outbound
This paper cites Attention is all you need.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Attention is all you need
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:03.030044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 28acc76a-7050-46fc-bd78-befa1f6948d9 · outbound
This paper cites High- resolution image synthesis with latent diffusion models.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation High- resolution image synthesis with latent diffusion models
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:53:48.724933Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b1c82d7-3e16-4875-8545-27e307dd4c4b · outbound
This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:53:48.851444Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da707f20-480e-467a-b72f-ee758dddac2e · outbound
This paper cites Denoising Diffusion Implicit Models.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Denoising Diffusion Implicit Models
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:53:49.129595Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb71b655-a72b-421c-84c1-6579aecae7f6 · outbound
This paper cites Progressive distillation for fast sampling of diffusion models.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Progressive distillation for fast sampling of diffusion models
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:02.783530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1f317f29-0be4-492a-980a-6c47b4ae3cf8 · outbound
This paper cites Segment anything.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Segment anything
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:53:49.334834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c08e1793-83cc-42dc-8737-24563f3a9b19 · outbound
This paper cites Lemurs: Large-scale multi-detector electromagnetic universal representation of showers, September 2025.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Lemurs: Large-scale multi-detector electromagnetic universal representation of showers, September 2025
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:02.631867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e4a6ba67-7da7-47a5-b067-29e67fb91f86 · outbound
This paper cites Lemurs dataset: Large-scale multi- detector electromagnetic universal representation of showers, 2025.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Lemurs dataset: Large-scale multi- detector electromagnetic universal representation of showers, 2025
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:02.415502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 63733dc1-cdff-4299-bdfc-c7977cc9c1e4 · outbound
This paper cites Fast calorimeter simulation challenge 2022 - dataset 2, March 2022.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Fast calorimeter simulation challenge 2022 - dataset 2, March 2022
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:02.094552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 24d43a5b-7f3e-4a0b-9d77-bb406697d8a7 · outbound
This paper cites The Open Data Detector Tracking System.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation The Open Data Detector Tracking System
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:01.705724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ba5a9204-ea48-4c2b-a422-8667082b8448 · outbound
This paper cites Bacchetta et al.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Bacchetta et al
Reference 50
- Resolution
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- raw_fallback, observed 2026-08-04T21:54:01.477079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5db07200-8bae-46ad-8e8c-d1c35856b07d · outbound
This paper cites Design and performance of the calorimeter system for allegro fcc-ee detector concept.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Design and performance of the calorimeter system for allegro fcc-ee detector concept
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:01.213124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 16b2eb86-6ebc-4f13-91c4-4568c58cfc12 · outbound
This paper cites Aidasoft/dd4hep, October 2018.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Aidasoft/dd4hep, October 2018
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:01.065162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 71452491-11df-47c6-906c-8b32f79b61bb · outbound
This paper cites Elucidating the design space of diffusion-based generative models, 2022.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Elucidating the design space of diffusion-based generative models, 2022
Reference 53
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a248e08e-256e-4566-bb1e-09a6b40d4bd2 · outbound
This paper cites Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole
Reference 54
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09276f32-4931-425f-a99c-aaaf3f3dfe77 · outbound
This paper cites Interacting particle solutions of fokker–planck equations through gradient–log–density estimation.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Interacting particle solutions of fokker–planck equations through gradient–log–density estimation
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:00.746501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7c51e052-7f6f-4c2c-b5c8-7292db380214 · outbound
This paper cites Consistency models, 2023.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Consistency models, 2023
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:00.479848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 74a4d327-5470-4234-bae8-168bcc85ca1c · outbound
This paper cites Denoising diffusion probabilistic models.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Denoising diffusion probabilistic models
Reference 57
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75f30439-e8b6-46ea-b3d1-dfad321419ce · outbound
This paper cites Scalable diffusion models with transformers.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Scalable diffusion models with transformers
Reference 58
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74d5afea-cc6e-4ac0-92e2-625d3bec5a88 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 59
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 144bac5c-98c8-46ec-8cad-13091df34201 · outbound
This paper cites Consistency models.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Consistency models
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:54:00.164553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 31d6bfb0-4fb5-484a-975a-d7ab51e3329f · outbound
This paper cites Decoupled weight decay regularization, 2019.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Decoupled weight decay regularization, 2019
Reference 61
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32a810c7-7139-45bc-9e5c-d38a06a5ee5b · outbound
This paper cites MiniCPM: Unveiling the potential of small language models with scalable training strategies.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation MiniCPM: Unveiling the potential of small language models with scalable training strategies
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:53:59.738374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3826c817-24dc-4899-9432-de60316b217d · outbound
This paper cites Wang, David Leo Wright Hall, Percy Liang, and Tengyu Ma.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Wang, David Leo Wright Hall, Percy Liang, and Tengyu Ma
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:53:59.557666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 694fd4a4-994a-4742-a249-2c2bf651bd1f · outbound
This paper cites Pytorch: An imperative style, high-performance deep learning library.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Pytorch: An imperative style, high-performance deep learning library
Reference 64
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8450b01c-318c-4aff-b0e4-336fa8787dcb · outbound
This paper cites Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:53:53.411252Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc243e1a-f52c-4e20-9f35-ef79c4198af5 · outbound
This paper cites Bootstrap your own latent-a new approach to self-supervised learning.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Bootstrap your own latent-a new approach to self-supervised learning
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:53:53.643576Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e785995-c3bc-42e5-8e50-75492ce4445c · outbound
This paper cites Level up your performance calculation of the fast shower simulation model.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Level up your performance calculation of the fast shower simulation model
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-08-04T21:53:55.584889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f127d5ab-f512-4d3e-ba29-5bd45931a81f · outbound
This paper cites Evaluating generative models in high energy physics.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Evaluating generative models in high energy physics
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:53:59.171168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e772b5e5-b10c-487b-b991-c975b05d2558 · outbound
This paper cites Improved precision and recall metric for assessing generative models.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Improved precision and recall metric for assessing generative models
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:53:54.424870Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 348a81be-3050-44f7-af58-5005e20efa5f · outbound
This paper cites Reliable fidelity and diversity metrics for generative models.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Reliable fidelity and diversity metrics for generative models
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:53:58.574304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9d7d1e0d-9789-4aa0-9897-aa56e9cc7de0 · outbound
This paper cites CaloDiT-2.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation CaloDiT-2
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:53:58.084618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 82e743b0-e47e-43ce-a37c-b641cb6c2154 · outbound
This paper cites Aleksa, C.
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation Aleksa, C
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:53:57.544898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
Observation 0d6aa6c9-bbb7-440e-b409-0626f76bbd2a · inbound
GPT-like transformer model for silicon tracking detector simulation cites this paper.
GPT-like transformer model for silicon tracking detector simulation A Generalisable Generative Model for Multi-Detector Calorimeter Simulation
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T13:27:36.639781Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d27160d1-6767-47de-b295-50212713010f · inbound
A universal vision transformer for fast calorimeter simulations cites this paper.
A universal vision transformer for fast calorimeter simulations A Generalisable Generative Model for Multi-Detector Calorimeter Simulation
Reference 51
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f0981b7-51d5-4d88-b6c0-61411831ac9d · inbound
Differentiable Surrogate for Detector Simulation and Design with Diffusion Models cites this paper.
Differentiable Surrogate for Detector Simulation and Design with Diffusion Models A Generalisable Generative Model for Multi-Detector Calorimeter Simulation
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T15:28:02.486422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 172ac145-a416-4a15-ba13-bafc6a2c34f4 · inbound
CaloArt: Large-Patch x-Prediction Diffusion Transformers for High-Granularity Calorimeter Shower Generation cites this paper.
CaloArt: Large-Patch x-Prediction Diffusion Transformers for High-Granularity Calorimeter Shower Generation A Generalisable Generative Model for Multi-Detector Calorimeter Simulation
Reference 40
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T04:42:15.876577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d0b1786e-fd68-4c0a-b62a-620083ab6621 · 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 A Generalisable Generative Model for Multi-Detector Calorimeter Simulation
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T07:41:44.753192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e788fed5-da7d-481d-a98d-b482470dd808 · 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 A Generalisable Generative Model for Multi-Detector Calorimeter Simulation
Reference 62
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f2a1efa-87c0-4e3b-82eb-030ddc92ee2e · inbound
Lantern: Conflict-Aware Gradient Blending for Physics-Guided Diffusion Models in Calorimeter Simulation cites this paper.
Lantern: Conflict-Aware Gradient Blending for Physics-Guided Diffusion Models in Calorimeter Simulation A Generalisable Generative Model for Multi-Detector Calorimeter Simulation
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T02:22:20.518232Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.