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Paper Citation Record · LEDGER

Amplitude Uncertainties Everywhere All at Once

As of 17 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 6 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 82 of 82 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:31:21.147037Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

76 of 76 outbound references displayed

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

External citation measurements

2
pith, observed 2026-08-05T02:28:24.338817Z

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:79c8e39cfe6a5e1580ff403feb0a1fca36e504c6dc6bcdca048e4dc091a4b921

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:2eba40eee82fcd266771235c72a157931a59e1294b7e75117fd0afc992a45061

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:6ddf158d2b2ef67bf752e15a79eeec3211c991ea3c26eee185a5f9f880c9f7cc

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:e81cb0eaeaca2e22d3b61f6cf9eed8d8ba99263d3cfd3dcf33e3944cf19e27cb

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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verified exact
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:fcf8242d0ea56c2330711f8087e92ebf2fb27b700a5642994b320e00febc9c9a

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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verified exact
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:afaead0c1b5e0ac6fb6bb4176fd6af0ce52b578d47429178d6352d8d49641950

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:d80b7b91c1840ed307044078c11b74bbb7bbd310542628c61c9d101eeb0ebb64

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:dab31e78ef3dfdf03c01e09499afd9e13246ac9291760f954bca14bb00e44605

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

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.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:c35f39377f31d346469314bb8ffa44dcfbe188f8faeacbd4965458bfc6167df0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:ad08b97fd4eb864047c613bd061a39000d4b556df9fa049dc705f81ab25e1306

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:0b7865314fb0c1eff4d237f356b2dd8f9ef12c515dfe072eb91533cb5a71265b

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

Resolution
verified exact
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:aae0b07ff588211e404414a9957cdcf0a208ce86a859f5252fc67e2cf27508b6

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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verified exact
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:9ae4d79c2fc0db082826129e8bf6cf33a507aa81aa0f636c92cc6a5445b0668e

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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verified exact
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:1d2cc7aefa00e270b561f2b71c07abcd01d8aa7906495eea26503bc39ac0db74

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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verified exact
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:3cef2daac98a5f4c93ec786fbc183a0005d262927bae422c4653d577d1f61f91

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:f6004d76ab35ab9d5951703f2cecd968d4c022b58892e732549111a15343ee05

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:9ddb40c3c676bd0647c6c2a929725738d45afec309726f2072265df4c9c99291

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:fe84942f8012ae31302e3cfd861dbb38804c395dd78d118b21b0f28c53769d69

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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verified exact
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:e873c03017fe5c8d6578f67479ce8c71fdb5f82143ac6d1c85cdac28b88375c8

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

Resolution
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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:f8d23c0252e02becfcb90e526487a8a9e4e8ada0b8f52e35a095c349d19a9eb2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:a8c051497ab7fc6dfb32d39fbf6c132a14e788699a0717f185fab209a7bd749d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:bdb59474c51ce3f29c1b405c0fdf0011dd493e5a3941f235edee6a3a4e3c35a6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:20613616a177227a4da1871bcde67ade55ef47dfd512e10c9e697ea7de7eb742

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:ce4e043e38db63430879162e4135c9781e649884c6b480e53d26b46bc81a8ccd

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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verified exact
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:f06ba4219455bc8e50637c2c89be15061522b6d766fc918334680011e5028c64

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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verified exact
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:e7f0c44440bd1cb03a43f7d67250b5d16a4b5fc3ad6d2f504ab820278e4e62c7

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:91fb0b3896e40aeaa7f5e567355827d613e02f52921e9c1bc52e4ff8008f30c0

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:7e50ad62074dcf5f703177049baf1b213a2056e59c0f8fc9b0f7f6ca2040eadc

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

Resolution
verified exact
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:617a836d5d60d966ab972a6e1b8ad4bbd74794cea9bddb381ebbed641712dce6

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:29c7c4070c42eacb7b9c32a9dc34f0bfbed6aec620f926f38751cb0d0e9febd2

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

Resolution
verified exact
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:9e973c9d622c4c1dcc30f350a03e5e1773d1f2c744f447819a43a03b321bfc99

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:64bd7522bbaad96ec1ab6bc56e0c434734c8dab18197b90bb27e0b76d3e67540

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:227fe50d7d362c702714e19b26fdee0e37052c96dc11578433aecdc36219e0e4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:acf515ac4264b5aa5dc4f711857905b43033f9d53d955bdf133ab73f0754aec8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:68539efb0a86f192e3a7c7a17615a08459120745e71aa224a15b03e042890eee

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:e78427f1f01e7e2c01766cf1ab13140112af8e281045504881374252b23e0ac2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:f1d074a2ba8a4e6f5a93f1cab602a837266f3c6653f585e6646e9a7e16cf2868

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
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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:97b8b1d797b649ddd3adde04980fe5d75ed754cf0882646ab2a29bbbdeb87342

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:0382ef701b69f40b83b3e3cead102f4332a204ba1f62383947b4e1b1afc86f68

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:65d062e00bfa118fff1f22b1a02688774f1cd41958ae403b2d587f81b5f01424

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:4b6b08ecd8fa6b874896af9bdf2149d8178416399063a0128a2656f49f86d67b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:57846be182ef175719eb08f1b92e05e2ec23944e606c75430541f1c81cfe9af5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:499e5e8de99eeac974fc5290b948784a8269be058016946ccedf06c0a2589df6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:01eb47aa203def6818e11c8d852d2fe0d4769b98b47289df179874bfc8efc2c9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:a3ae31c73f370bce46aec020cb69a3272f376f88c81c1905132b30b6389a3378

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:2cd4fcaf33685c2d34646325a172b6426ecfac92b49105b9d72ea6e75ebcf00c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:c05c2f9fc45407afcc8bf217ffc6dcf216517b308dc98d990565281f5780f3b5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:21b249d0abef66955e3073cbfa5cd10bba7f9220e2e72523d2b511ac725a7284

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:fba66a40b02ff7dab3b81c7de422c537b64463d3d8101329aa10a063fe50b274

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:44c7cbd1fec910fc6f95ad8804f3dca236797206d4e5ff3a6851e5ef09c20fd4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:6a4f09d5b4e43c076c0d15760068168d779a827bb72517ada8f0aca406e15a3d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:4f27f7918240b3105c4ec6d4c23e220ab7b8424affa7ac75db4b23bca7fa02a3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:0ffb5cb56e52095d2af1c41ebf3c8a055159bd7994d5990a318ebd9c9e885046

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:468e19577b2c37e34ee99f3092b010e51bb5400ba9729f404f689037b0f5b492

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:31eb837ae0400b43965dc65b004b21c6338fa6ee1aeaa3a50e43074d062c5401

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:ba3fcf45a04fed3371ce9add958a7e475753a0a77d958d52a459537e20c49256

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:4992216a3c41889ecb7eb979a9b24794ce9012060ed0f5e944c22d021f5c4912

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:f983762a9227747595ead4cdc7c7e984461ecec85e74650985dd3142f12adbb9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:10a2a92559ed295312b85ef72378cb285ff7b40a6279895e178be40f4811d2c9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:aacf7489ef14ac4260a2e51a00a485594c5ed781349174081e1ccc6be8e9fab1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:b54291e97df805140434d5ea29aa4b1894839362f1585a0ed7208d8317327ef3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:328a74be91b1dc85da0ffd892445b8eb9834fcf7a52007df2334c5ae3001cc66

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:a2b20a7d4d8c5bd25145bdd5b79e9647023f5f797f1322074e51531570e11e47

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:a1b8bfdac33911ea3fa32cacfd625c0a4cfad5198bfea833d70c2e853fdc2b15

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:81b8ff2b38f677ed55c587f7cbfa257abe2ff9fb028eb0c2c0c9acfafd2a6d51

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:e597f1d3eb828d75c22c0d1e02dcf72964640cde61202bd03dbfc5a249a6eed3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:4b1e301af12358c4a5c400c6a27a50f4212199d63bf31f74155284dacac3a993

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:66f7489585c7653bb47af4b7c32641ceca70db7d0d33fb156745e1356ce79f10

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:9b2e0bae2037c1b3674fb4b163c5ef5514d725c685bd9f3febcd3987d0577fd4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:ff13c8fb4afee45df1eef00e87606e1a06f1e87afac23c0ee1f5d57daede8f93

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 2026-08-17T06:30:58.91139+00:00.

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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 2026-08-17T06:30:58.91139+00:00.

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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 2026-08-17T06:30:58.91139+00:00.

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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 2026-08-17T06:30:58.91139+00:00.

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:91b842401dced614a744061a4b752565b20bc8c543b66f7f4d81b8d6976ad4e6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:e9c40f237fd9e58046b98ae52dba7835702c0f3170230204f69ca8d081fe723e

Pith citing papers

Observation 975c4495-4c67-4e74-911b-dc8215148c06 · inbound

Forecasting Generative Amplification cites this paper.

Forecasting Generative Amplification Amplitude Uncertainties Everywhere All at Once

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T21:31:21.147037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:31:21.147037Z digest=sha256:692118dec9ba07df544fcfd745a52a4947ee020c7a694ea070bdbbc284a486ef

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 2026-08-17T06:30:58.91139+00:00.

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-07-11T11:50:26.030339Z digest=sha256:cc8fa1bbb1d432076a8b811482c0b0a9a8b7cb6fa2bf71250edb8b547acfe592

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 2026-08-17T06:30:58.91139+00:00.

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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:f494d9a887865f76252069fe1c68f7ef0ccf27518fa0d587af9e84e349ac43e4

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.

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