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Paper Citation Record · LEDGER

Amplitude Uncertainties Everywhere All at Once

As of 3 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 5 inbound Pith citation observations for arXiv:2509.00155.

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

pith.paper-citation-record.v1
2509.00155 v2

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T19:21:24.292766Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-02T06:30:47.504484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:29:07.818384Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T00:15:00.872479Z

Reference resolution

76 of 76 outbound references displayed

  • verified exact69
  • verified fuzzy4
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5a90aa31-a55f-44a3-b5bc-cddb5cdba46a · outbound

This paper cites Machine Learning and LHC Event Generation.

Amplitude Uncertainties Everywhere All at Once Machine Learning and LHC Event Generation

Reference 1

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arxiv_id, observed 2026-05-18T19:21:47.187161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation e1093003-4feb-4de5-9759-64ff2a184301 · outbound

This paper cites Modern Machine Learning for LHC Physicists.

Amplitude Uncertainties Everywhere All at Once Modern Machine Learning for LHC Physicists

Reference 2

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arxiv_id, observed 2026-05-18T19:21:47.170854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 23120f89-5e6a-4165-9f47-608f456ec26b · outbound

This paper cites Exploring phase space with Neural Importance Sampling.

Amplitude Uncertainties Everywhere All at Once Exploring phase space with Neural Importance Sampling

Reference 3

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arxiv_id, observed 2026-05-18T19:21:47.202264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation ee9d5e73-0c01-4633-a5b8-a31171a90078 · outbound

This paper cites i-flow: High-dimensional Integration and Sampling with Normalizing Flows.

Amplitude Uncertainties Everywhere All at Once i-flow: High-dimensional Integration and Sampling with Normalizing Flows

Reference 4

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arxiv_id, observed 2026-05-18T19:21:47.181333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:0b35e500bcbc7160b86a8aaf9719124976775189d308e53e385320a8b2964840

Observation d88fd7b4-1f3d-402f-80fb-8794ef97c906 · outbound

This paper cites Event Generation with Normalizing Flows.

Amplitude Uncertainties Everywhere All at Once Event Generation with Normalizing Flows

Reference 5

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arxiv_id, observed 2026-05-18T19:21:47.206672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 00a8285b-3e7f-4d20-9405-d6816ced3135 · outbound

This paper cites MadNIS -- Neural Multi-Channel Importance Sampling.

Amplitude Uncertainties Everywhere All at Once MadNIS -- Neural Multi-Channel Importance Sampling

Reference 6

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arxiv_id, observed 2026-05-18T19:21:47.197392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation ef3d37cd-036f-4364-b399-04e35907c641 · outbound

This paper cites Efficient phase-space generation for hadron collider event simulation.

Amplitude Uncertainties Everywhere All at Once Efficient phase-space generation for hadron collider event simulation

Reference 7

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arxiv_id, observed 2026-05-18T19:21:47.192600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 9c149c5c-31bb-4b15-825f-b09c9b7869c3 · outbound

This paper cites The MadNIS Reloaded.

Amplitude Uncertainties Everywhere All at Once The MadNIS Reloaded

Reference 8

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arxiv_id, observed 2026-05-18T19:21:47.175886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation c9b856be-bb57-4ac5-8b13-968db2de0c57 · outbound

This paper cites Accelerating HEP simulations with Neural Importance Sampling.

Amplitude Uncertainties Everywhere All at Once Accelerating HEP simulations with Neural Importance Sampling

Reference 9

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arxiv_id, observed 2026-05-18T19:21:47.165862Z

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No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:58069816aab9fe5c35e3217a5c9510a901726bb176fe90b4930b6f42d9d1aaf0

Observation f12c0113-7341-4d3b-9e31-d3f19e78ed5f · outbound

This paper cites Differentiable MadNIS-Lite.

Amplitude Uncertainties Everywhere All at Once Differentiable MadNIS-Lite

Reference 10

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arxiv_id, observed 2026-05-18T19:21:47.093191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:26169b619cca81fbeceb6612cc09802b7b4a2ec2cdedf85e630466bb9589a7c6

Observation d0b1361e-b871-4346-80ad-7534a2ca2f23 · outbound

This paper cites Janßen, R.

Amplitude Uncertainties Everywhere All at Once Janßen, R

Reference 11

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arxiv_id, observed 2026-05-18T19:21:46.976980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 7a484186-3fb1-4989-89e1-90cbb2af195a · outbound

This paper cites Efficient many-jet event generation with Flow Matching.

Amplitude Uncertainties Everywhere All at Once Efficient many-jet event generation with Flow Matching

Reference 12

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arxiv_id, observed 2026-05-18T19:21:47.027187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation cac077e7-080b-4b8d-905c-90cce068f3d2 · outbound

This paper cites (Machine) Learning amplitudes for faster event generation.

Amplitude Uncertainties Everywhere All at Once (Machine) Learning amplitudes for faster event generation

Reference 13

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arxiv_id, observed 2026-05-18T19:21:47.002370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:54f0bc27bdf013af94b5bcbc22273aa52f1f58d258e75d69c5ed9bdf6bb05273

Observation cdfe5edd-b0ef-4459-886b-d18654cd1cfa · outbound

This paper cites Using neural networks for efficient evaluation of high multiplicity scattering amplitudes.

Amplitude Uncertainties Everywhere All at Once Using neural networks for efficient evaluation of high multiplicity scattering amplitudes

Reference 14

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arxiv_id, observed 2026-05-18T19:21:47.080494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:d5a7750b8deca2164c2eae38367a7469bf38648abcefa8cd4816523a410b1f41

Observation efe651b8-0c6c-4a73-a98f-ed82a92d6644 · outbound

This paper cites Optimising simulations for diphoton production at hadron colliders using amplitude neural networks.

Amplitude Uncertainties Everywhere All at Once Optimising simulations for diphoton production at hadron colliders using amplitude neural networks

Reference 15

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arxiv_id, observed 2026-05-18T19:21:47.048192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 7137e633-c576-4625-b208-ffb33373dfd4 · outbound

This paper cites Maître and H.

Amplitude Uncertainties Everywhere All at Once Maître and H

Reference 16

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verified fuzzy
raw_fallback, observed 2026-05-18T19:22:49.694955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:b53651280480d239d25044f4a0d6639c5275e203c050b0ed9080d902fc612dda

Observation f46f3e7d-9db0-44ac-872c-c194675efc82 · outbound

This paper cites A factorisation-aware Matrix element emulator.

Amplitude Uncertainties Everywhere All at Once A factorisation-aware Matrix element emulator

Reference 17

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arxiv_id, observed 2026-05-18T19:21:47.160745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation f94f8a09-61dd-4b75-aa96-ca59c318beb6 · outbound

This paper cites Targeting Multi-Loop Integrals with Neural Networks.

Amplitude Uncertainties Everywhere All at Once Targeting Multi-Loop Integrals with Neural Networks

Reference 18

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arxiv_id, observed 2026-05-18T19:21:47.120196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 85fd5a37-4cf5-48d9-bd4c-70a2c1fc4b0b · outbound

This paper cites Loop Amplitudes from Precision Networks.

Amplitude Uncertainties Everywhere All at Once Loop Amplitudes from Precision Networks

Reference 19

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arxiv_id, observed 2026-05-18T19:21:46.878307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 50eb365e-d47d-40cb-83ba-52da988c03df · outbound

This paper cites One-loop matrix element emulation with factorisation awareness.

Amplitude Uncertainties Everywhere All at Once One-loop matrix element emulation with factorisation awareness

Reference 20

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arxiv_id, observed 2026-05-18T19:21:47.145559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 5e54a78a-550d-44cf-8721-aecd67551873 · outbound

This paper cites Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics.

Amplitude Uncertainties Everywhere All at Once Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics

Reference 21

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arxiv_id, observed 2026-05-18T19:21:46.971486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation c8632c09-643e-4e96-ae7d-52275e897568 · outbound

This paper cites Brehmer, V.

Amplitude Uncertainties Everywhere All at Once Brehmer, V

Reference 22

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arxiv_id, observed 2026-05-18T19:21:47.150571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:3c655f5c2169ced99d1ef3d73d217b85a8f7002b950312bd462becfd076c3132

Observation b1010b67-9b10-4755-a798-7e4d9e3425f9 · outbound

This paper cites Bresó, G.

Amplitude Uncertainties Everywhere All at Once Bresó, G

Reference 23

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arxiv_id, observed 2026-05-18T19:21:46.866462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation d2bdfb4f-bf3e-40e4-a6ed-b294b81abf12 · outbound

This paper cites an unresolved cited work.

Amplitude Uncertainties Everywhere All at Once Unresolved cited work

Reference 24

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verified exact
arxiv_id, observed 2026-05-18T19:21:47.061526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:77f30f5a12b0bb1afd1e568c2da27ed6c578f5fc071ac62b2c1873d60df861c5

Observation cff0280f-44d1-4d15-bca2-0626c17e13ac · outbound

This paper cites LHC analysis-specific datasets with Generative Adversarial Networks.

Amplitude Uncertainties Everywhere All at Once LHC analysis-specific datasets with Generative Adversarial Networks

Reference 25

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local_arxiv, observed 2026-05-18T19:21:47.126039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:425c9aae92612f8b8ec662eeda22cc88917fe330d810a3c95f8d0fca1e76fe00

Observation 3d35d666-6254-4ff8-aff9-e939ff38cb93 · outbound

This paper cites DijetGAN: A Generative-Adversarial Network Approach for the Simulation of QCD Dijet Events at the LHC.

Amplitude Uncertainties Everywhere All at Once DijetGAN: A Generative-Adversarial Network Approach for the Simulation of QCD Dijet Events at the LHC

Reference 26

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arxiv_id, observed 2026-05-18T19:21:46.872218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:9cc432a3ac2111e9b8a47ada81cbef7117d5b6de43d856b6c45a799a7c04728e

Observation 1945716f-91ef-4032-b7cc-b21443a23f1c · outbound

This paper cites How to GAN LHC Events.

Amplitude Uncertainties Everywhere All at Once How to GAN LHC Events

Reference 27

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verified exact
arxiv_id, observed 2026-05-18T19:21:46.815779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:0532db30178a509a05ce35a52dd262b44a2c93d05aee8042053644b2c52bc279

Observation d4be9edd-24fc-42ce-866d-dbc2d346d77a · outbound

This paper cites Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN).

Amplitude Uncertainties Everywhere All at Once Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN)

Reference 28

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verified exact
arxiv_id, observed 2026-05-18T19:21:47.109335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:33b04505fec13b9e134b80da636f320657f82ed97b3d43a371064755570c0747

Observation 778e4a96-c316-4b80-8367-6d6420c00578 · outbound

This paper cites Jet Diffusion versus JetGPT -- Modern Networks for the LHC.

Amplitude Uncertainties Everywhere All at Once Jet Diffusion versus JetGPT -- Modern Networks for the LHC

Reference 29

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arxiv_id, observed 2026-05-18T19:21:47.012125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:cedc297a85b77fd47587acaa013d3067c7918df6a90f583b766ac78e59fa4aed

Observation 64a94457-5ff2-4ec3-b28d-fe14b05b2419 · outbound

This paper cites Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multi-Layer Calorimeters.

Amplitude Uncertainties Everywhere All at Once Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multi-Layer Calorimeters

Reference 30

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verified exact
local_arxiv, observed 2026-05-18T19:21:47.055204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:f58e73c52e6d188c247ce3e5a1d366b91edd0513997588feba16964554226df2

Observation 24d2c517-4dab-40d2-ab0a-46ed1a305b63 · outbound

This paper cites CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks.

Amplitude Uncertainties Everywhere All at Once CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks

Reference 31

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local_arxiv, observed 2026-05-18T19:21:46.890759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:ecda91fb9d8d136187c24c0ba2a47814961d980f7f9023cfd6f73705b61517e3

Observation cb6ac57b-8b96-4c27-ba96-559b8e4a24c1 · outbound

This paper cites Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network.

Amplitude Uncertainties Everywhere All at Once Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network

Reference 32

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arxiv_id, observed 2026-05-18T19:21:46.844151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:0e3c7c73772994e095104037a60684794db77631e2728d5128fcd373b2d9d1f9

Observation e29f94ec-b031-4672-b124-563e4231821b · outbound

This paper cites Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics.

Amplitude Uncertainties Everywhere All at Once Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics

Reference 33

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arxiv_id, observed 2026-05-18T19:21:47.021257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:6019391861d9a76ba314c6ca7b1151ec640aa4990d874cc855708a38226bf1c5

Observation 23ee6ba3-1093-453d-9ea4-647d9bc313c5 · outbound

This paper cites Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed.

Amplitude Uncertainties Everywhere All at Once Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed

Reference 34

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arxiv_id, observed 2026-05-18T19:21:46.981594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:fdc5e884d5a6459b19587b3786533409b857883b8cb6fe8c1a861da4f7d965ca

Observation c9a62bec-8d42-4549-b157-e30ad2cadf78 · outbound

This paper cites CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows.

Amplitude Uncertainties Everywhere All at Once CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows

Reference 35

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arxiv_id, observed 2026-05-18T19:21:47.073614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:6e2fdda8c008d7fe3451b2ca63a2f718390579b90d12d051417d045568bfa0da

Observation b28e0cf4-bf55-436d-8aa7-0c5f254f270d · outbound

This paper cites AtlFast3: the next generation of fast simulation in ATLAS.

Amplitude Uncertainties Everywhere All at Once AtlFast3: the next generation of fast simulation in ATLAS

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:47.016512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:adf136b860d1d651b2f33e63a816d2e2a9567a8f9ef40e5552e9336d8f9e7330

Observation dc82939a-677e-40aa-8c2f-6ee087494356 · outbound

This paper cites CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter Showers with Normalizing Flows.

Amplitude Uncertainties Everywhere All at Once CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter Showers with Normalizing Flows

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.833166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:1e977ac5f6dd336b9096004dd2a282dcf013f32c09631f239a2bbebbc23eddb7

Observation 7b1b0e33-2c9a-4b51-9d50-7fe01a1044b1 · outbound

This paper cites Hadrons, Better, Faster, Stronger.

Amplitude Uncertainties Everywhere All at Once Hadrons, Better, Faster, Stronger

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.933835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:b64c783f4c62e58f1afadf97b355badd423cc84e9bdb7a99da58794e9013452e

Observation a60dade9-3cef-4290-b193-888c5dbdf8fe · outbound

This paper cites an unresolved cited work.

Amplitude Uncertainties Everywhere All at Once Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-05-18T19:22:49.686900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:f1751903d0ada1fa0b7c1543cd7e6e8563a9dbf8e2b587f807bedb5a99fa7e19

Observation 2c0a9c30-f507-4207-96e5-d9f844d317bf · outbound

This paper cites Score-based Generative Models for Calorimeter Shower Simulation.

Amplitude Uncertainties Everywhere All at Once Score-based Generative Models for Calorimeter Shower Simulation

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.897658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:c44e06bd56fea982a7fbc9ac2b8b14ccdcf4df79c5f95d9d1817f782f77dec15

Observation cdc340d7-60ed-4f4c-b8cd-d6eb646934f4 · outbound

This paper cites an unresolved cited work.

Amplitude Uncertainties Everywhere All at Once Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-05-18T19:22:49.701012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:af3cc134a6d6360a49052a3a7ae09d65dd7a53c53b993d6380fd4053f2969d64

Observation 4ddb1355-55b7-4dac-9db5-0a76b8af49f4 · outbound

This paper cites CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds.

Amplitude Uncertainties Everywhere All at Once CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.849904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:ba2a640f7eaf535259e61013c1d997237a1492d6acff8b592516fe2eeccb23b8

Observation 846ef3b5-9e63-4e84-97f3-c46066aa77b8 · outbound

This paper cites L2LFlows: Generating High-Fidelity 3D Calorimeter Images.

Amplitude Uncertainties Everywhere All at Once L2LFlows: Generating High-Fidelity 3D Calorimeter Images

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.966332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:259c53ce350ab8bf56f68cee31c3f1fdd1161e4e5b0c02ff5160d10040c252be

Observation e4a8f369-3c23-4f8b-a51f-bc026f0a1e6a · outbound

This paper cites Generative Machine Learning for Detector Response Modeling with a Conditional Normalizing Flow.

Amplitude Uncertainties Everywhere All at Once Generative Machine Learning for Detector Response Modeling with a Conditional Normalizing Flow

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:47.067566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:e6a70be66a10a49d7803ae36bc91dde5bbc56f6c13b3bd2c809751dfa577871b

Observation ab8b06b1-7b86-469d-a080-7727de89714c · outbound

This paper cites CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation.

Amplitude Uncertainties Everywhere All at Once CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.928513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:ea1b6a21d9548f479ad54b76fc41518a97d9e6179caccf97695c24e6ffb9fe07

Observation e18c1433-1e51-443b-8d5d-258b279ee0c7 · outbound

This paper cites Inductive Simulation of Calorimeter Showers with Normalizing Flows.

Amplitude Uncertainties Everywhere All at Once Inductive Simulation of Calorimeter Showers with Normalizing Flows

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.949369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:94476b7f1de12a1ff3ccd39217a63d51fe13ba31b0cabbea66b62d4322c5beab

Observation 0cd1ca5a-a37b-4f4f-ab88-4db77692e71d · outbound

This paper cites Refining Fast Calorimeter Simulations with a Schr\"{o}dinger Bridge.

Amplitude Uncertainties Everywhere All at Once Refining Fast Calorimeter Simulations with a Schr\"{o}dinger Bridge

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.986680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:7cf85e319b4f585b38fe56fd53033654d6b1e6d3191874cee9aba1710072eb98

Observation f62d4c21-844a-459e-a320-1d2e76e1de1e · outbound

This paper cites Normalizing Flows for High-Dimensional Detector Simulations.

Amplitude Uncertainties Everywhere All at Once Normalizing Flows for High-Dimensional Detector Simulations

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:47.139420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:e0e7adf8e959742224a997de7967908fddcb6d7d8db3d75a5eddea8dfb964580

Observation 498390a5-c0df-483b-8627-d07527ddc1d0 · outbound

This paper cites CaloDREAM -- Detector Response Emulation via Attentive flow Matching.

Amplitude Uncertainties Everywhere All at Once CaloDREAM -- Detector Response Emulation via Attentive flow Matching

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.904516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:9a9a180bd965ac6d9b4bcd70f45b37f9ead16f2cdd3466ee8776aeb3190755a1

Observation e06fceb9-98eb-4045-a65d-97787438e64f · outbound

This paper cites Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows.

Amplitude Uncertainties Everywhere All at Once Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.910662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:21801ca6304a51e681e9800adbf6a0faa3b39007f6d63dfe5485e631e21f6869

Observation 47e3e8dd-2704-47f4-a196-76d5b0476417 · outbound

This paper cites PIPPIN: Generating variable length full events from partons.

Amplitude Uncertainties Everywhere All at Once PIPPIN: Generating variable length full events from partons

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.821703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:31473f1e20b92bd12025bbd80ae26256a16eeee000d6a1fb48b4845655b6e610

Observation 7e9393f4-15e8-4a7b-8719-93a4d24a8296 · outbound

This paper cites CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simula- tion.

Amplitude Uncertainties Everywhere All at Once CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simula- tion

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.922434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:faa71910bdd63089f7d90efbb7c9f3dcd90763596d1f76e17d7851e7574a45bc

Observation 90d0a69c-a573-45ed-9cb4-4e389d024238 · outbound

This paper cites GANplifying Event Samples.

Amplitude Uncertainties Everywhere All at Once GANplifying Event Samples

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.860803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:4abc1d8f208fff94a2e2986ed74ca3e981abe86ca112031eabca74d8ec2ac0d9

Observation ccb4dec4-273c-40d8-be50-a536105b3178 · outbound

This paper cites Calomplification -- The Power of Generative Calorimeter Models.

Amplitude Uncertainties Everywhere All at Once Calomplification -- The Power of Generative Calorimeter Models

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:47.132282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:034c64810d7034022ec336f4d43b37aa7c5c4b6b62452fcf0314c1e318a394a8

Observation de84ca74-1786-4423-bd4c-5402b79a45da · outbound

This paper cites Calibrating Bayesian Generative Machine Learning for Bayesiamplification.

Amplitude Uncertainties Everywhere All at Once Calibrating Bayesian Generative Machine Learning for Bayesiamplification

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.884335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:8e26f36f3fc4027c620aa35c0015bd124253fed050dd16631d0ca9a347505542

Observation 07eca47b-c78f-474b-94a1-855d6cadfdac · outbound

This paper cites Accelerating Monte Carlo event generation -- rejection sampling using neural network event-weight estimates.

Amplitude Uncertainties Everywhere All at Once Accelerating Monte Carlo event generation -- rejection sampling using neural network event-weight estimates

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:47.099032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:9a8bd4e91ee6f8f859c28aa52f8c42bcabef7e33ecb798abc6dfca15b24058b2

Observation bfd3e798-cd92-4c09-bfa4-70c578a4a231 · outbound

This paper cites Unweighting multijet event generation using factorisation-aware neural networks.

Amplitude Uncertainties Everywhere All at Once Unweighting multijet event generation using factorisation-aware neural networks

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:47.104070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:0b619dfc71bae3975e87df8937c0a927c284b2675a1d6b09575b2d226ffb55da

Observation 8be93075-e9d8-4444-a180-570152777e5f · outbound

This paper cites Accelerating multijet-merged event generation with neural network matrix element surrogates.

Amplitude Uncertainties Everywhere All at Once Accelerating multijet-merged event generation with neural network matrix element surrogates

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.827265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:b041fc20e03350a9d250bd6fa1db29ad00a0b810e4200fb88bff65ab2af06cb0

Observation 42451a60-6133-434a-a7e4-b693e21dd5b8 · outbound

This paper cites Gal, Uncertainty in Deep Learning.

Amplitude Uncertainties Everywhere All at Once Gal, Uncertainty in Deep Learning

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:22:49.697998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:74dd91ba5cf6c4ddff07a919fef15614cd5541d08c54e723542d654e20e79add

Observation 681d6725-9220-41d5-b2db-494c1ada3c26 · outbound

This paper cites Deep-Learning Jets with Uncertainties and More.

Amplitude Uncertainties Everywhere All at Once Deep-Learning Jets with Uncertainties and More

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.992110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:737cefccc1ef35ead8a448ee9e4d3b913dce222a5b4dd054aa9a87de4174fbdf

Observation 4f45445f-6849-4a32-850f-7adbdf27acc5 · outbound

This paper cites Per-Object Systematics using Deep-Learned Calibration.

Amplitude Uncertainties Everywhere All at Once Per-Object Systematics using Deep-Learned Calibration

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.855340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:2d832bcc9f0ea92a663f960682a59f6b365304aaafcbdbcb9e3d0c972a081e00

Observation 456e4fdf-1f02-4292-8605-df66a1975a04 · outbound

This paper cites Repulsive Deep Ensembles are Bayesian.

Amplitude Uncertainties Everywhere All at Once Repulsive Deep Ensembles are Bayesian

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:47.043066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:fa28657db6f62063db6c3c4eaf61b244de56e76fc4a6591c2b820825d6f871bb

Observation 1038dda8-f665-4442-9383-a853bcaadb1f · outbound

This paper cites an unresolved cited work.

Amplitude Uncertainties Everywhere All at Once Unresolved cited work

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.838690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:779f02be4ae4041141071b4c4a22c3ae93c83fa52cfe24f67f76807b350681db

Observation d3f10209-6e65-4959-816b-952518fa62d2 · outbound

This paper cites PINNferring the Hubble Function with Uncertainties.

Amplitude Uncertainties Everywhere All at Once PINNferring the Hubble Function with Uncertainties

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.916621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:c52966088fb034621110b1c69d2953c1b8fdcc48e8b887cc722d7680a9fb9128

Observation 16a3caca-660a-44a1-bf46-6756bca7fefd · outbound

This paper cites Deep Evidential Regression.

Amplitude Uncertainties Everywhere All at Once Deep Evidential Regression

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.955064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:a1d4a237ead2946160ef3ce764943e6eaf13cc284791dca4254b76205cfdd88d

Observation 7a7b8f6e-d4e4-4035-a46f-44c55cdfe5ee · outbound

This paper cites Multivariate Deep Evidential Regression.

Amplitude Uncertainties Everywhere All at Once Multivariate Deep Evidential Regression

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:47.036945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:e41d3e501b19b717d58fe751740fd85ff4a830c4b58b10e55dc8b61c6985b3a0

Observation 7c441d86-fe04-4204-b15e-8f111eca1a3b · outbound

This paper cites Reliable training and estimation of variance networks.

Amplitude Uncertainties Everywhere All at Once Reliable training and estimation of variance networks

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.938787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:8174910c6ccaf489e3f06861b3ccbb0d57792cf110cfa78fa9ee7f0f322201ba

Observation 77e3fac8-b668-4a08-a6f2-a15cf07b5f37 · outbound

This paper cites On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks.

Amplitude Uncertainties Everywhere All at Once On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.944254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:2965152b0657aceb9a9b26a26600d65a799edec7526083390ae3796db34f9eba

Observation cbe0377a-8751-471c-a81e-5f1c35037020 · outbound

This paper cites Faithful Heteroscedastic Regression with Neural Networks.

Amplitude Uncertainties Everywhere All at Once Faithful Heteroscedastic Regression with Neural Networks

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:47.087056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:3c671882d3f01a0c2d88cf8f835bb828c61accf84d3bf191952473ac4dd64168

Observation 75432c80-0ac1-4641-a85d-a6572b1d96e9 · outbound

This paper cites Immer, E.

Amplitude Uncertainties Everywhere All at Once Immer, E

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:22:49.689569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:093da12e294f1c8ebf78d2d1902b87d94338b1a82c6b44163461a4b26ec1e12c

Observation d40271d0-b3f9-4922-8a44-7905dacd557a · outbound

This paper cites Event Generation with Sherpa 2.2.

Amplitude Uncertainties Everywhere All at Once Event Generation with Sherpa 2.2

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.960452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:8fe77e9e3961f349a02c135802dc7e2ba9d76bcf6417c83a1329cb2ca0e7787b

Observation affeb568-1f5c-4034-9340-e4496cba8549 · outbound

This paper cites Numerical evaluation of virtual corrections to multi-jet production in massless QCD.

Amplitude Uncertainties Everywhere All at Once Numerical evaluation of virtual corrections to multi-jet production in massless QCD

Reference 72

Resolution
verified exact
local_arxiv, observed 2026-05-18T19:21:46.997609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:db029a392cab8c15c5a3ac7bcfc1d97cf1e3e1bb3b0b5ea83827a59490475eb9

Observation bfad2218-aafb-4313-a19e-106af2886435 · outbound

This paper cites Energy Flow Networks: Deep Sets for Particle Jets.

Amplitude Uncertainties Everywhere All at Once Energy Flow Networks: Deep Sets for Particle Jets

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:47.007256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:4786728ff8cb96ed396b6e0a509bdfb5ad35f2a7fb9bee39397d5a8dcfff2c5e

Observation 5d01b6a1-108e-4440-a0ae-783951b5a640 · outbound

This paper cites an unresolved cited work.

Amplitude Uncertainties Everywhere All at Once Unresolved cited work

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:47.114792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:2e13e55af7bcd2d8d7b43e204594cc8d403f883c1300eb4f19e4bfd483a1616b

Observation c0707007-8e29-4161-89c2-2386b8ca4939 · outbound

This paper cites Jordan, The exponential family: Conjugate priors.

Amplitude Uncertainties Everywhere All at Once Jordan, The exponential family: Conjugate priors

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:22:49.692360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:87b28bc3e67b34e0ceacca970c6ff8a3d6547469999b6de5189c9dca766f32ca

Observation 1af89539-29e3-42ae-9b36-4daa33b60740 · outbound

This paper cites EGMM: an Evidential Version of the Gaussian Mixture Model for Clustering.

Amplitude Uncertainties Everywhere All at Once EGMM: an Evidential Version of the Gaussian Mixture Model for Clustering

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:47.155477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:5a0ea66b0a948b032807fff9004cd3ea8a4bae6818af620b2bd64a5bb78561ca

Pith citing papers

Observation fe822dd2-9915-4500-92ae-989cfaebaa16 · inbound

Open LHC Monte Carlo Event Generation cites this paper.

Open LHC Monte Carlo Event Generation Amplitude Uncertainties Everywhere All at Once

Reference 167

Resolution
verified exact
local_arxiv, observed 2026-05-13T04:47:16.869245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-07-11T11:50:26.030339Z digest=sha256:16110a6f7f55a5d95c754104eae34ba33575f74ed7db75b9a75948f5c75ba7c1

Observation cc80a569-36d8-408b-9b37-61dfbce1da4b · inbound

The Monte Carlo Ecosystem in High-Energy Physics: A Primer cites this paper.

The Monte Carlo Ecosystem in High-Energy Physics: A Primer Amplitude Uncertainties Everywhere All at Once

Reference 239

Resolution
verified exact
local_arxiv, observed 2026-05-20T16:38:39.107865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-07-11T11:50:26.030339Z digest=sha256:7f6c16600a1ec53f3ee92f9b832314f9a7ac6ef6caf5c91f19f757bbe30e1825

Observation ed581b91-fdd6-4061-b201-05d328d7a273 · inbound

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

One Generator, Any Process: LLM-Conditioning for the LHC Amplitude Uncertainties Everywhere All at Once

Reference 298

Resolution
verified exact
local_arxiv, observed 2026-06-26T07:59:08.979408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-07-11T11:50:26.030339Z digest=sha256:7f96051813c7bf03a80d769a477cd512d9f789e4fc438554bb6c67641327f2ac

Observation 98c4cb59-6375-47e6-93bc-848547a04fec · inbound

Agentic Re-Casting using Agentic Re-Simulations cites this paper.

Agentic Re-Casting using Agentic Re-Simulations Amplitude Uncertainties Everywhere All at Once

Reference 113

Resolution
unresolved
no resolver link, observed 2026-08-01T04:29:07.818384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:29:07.818384Z digest=sha256:3f2b9ac363cba80c855a20a60e8df6dab7bc759e1c67cca3e4211cd3e4ad4e78

Observation 782cb763-d504-440f-a7c2-b3482352aba9 · inbound

Neural Control Variates at LO and NLO cites this paper.

Neural Control Variates at LO and NLO Amplitude Uncertainties Everywhere All at Once

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-30T18:12:21.423160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T18:12:21.423160Z digest=sha256:1465d5a5ce23d45c2ba1ac44d171fd604104366955c7c86368c992b9e671a769