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Paper Citation Record · LEDGER

MadNIS -- Neural Multi-Channel Importance Sampling

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2212.06172.

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

pith.paper-citation-record.v1
2212.06172 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:42:04.705647Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:58:54.792212Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9bbaebd3-ebe2-4975-a54c-25d12873e187 · inbound

LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning cites this paper.

LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning MadNIS -- Neural Multi-Channel Importance Sampling

Reference 13

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no resolver link, observed 2026-08-11T12:42:04.705647Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:42:04.705647Z digest=sha256:092d385f5c0934c6fbfb15a8c5385de9bea6f2a7663491a5f3e522ad363641d9

Observation 854caa26-5b68-4ead-ae74-2f6ad9d705b7 · inbound

How to Unfold Top Decays cites this paper.

How to Unfold Top Decays MadNIS -- Neural Multi-Channel Importance Sampling

Reference 30

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no resolver link, observed 2026-08-10T17:18:46.079626Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:18:46.079626Z digest=sha256:345db0bf0875165bc7108ffeb0ffdc60e98070e130a67f02ec98aa21c7abca16

Observation 6e4a9dc1-e4e8-46ed-9887-81e55a23d0a5 · inbound

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation cites this paper.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation MadNIS -- Neural Multi-Channel Importance Sampling

Reference 21

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unresolved
no resolver link, observed 2026-08-08T11:07:32.926712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:07:32.926712Z digest=sha256:abe74eadf0c7d14b8f61e8d180ff84b561ae7b0f3abe6fe580e906e9bcf46bca

Observation d209267e-6a67-4fb3-90a6-8bb59164307c · inbound

A Demonstration of ARCANE Reweighting: Reducing the Sign Problem in the MC@NLO Generation of $e^+ e^- \rightarrow q \bar{q} + 1\, jet$ Events cites this paper.

A Demonstration of ARCANE Reweighting: Reducing the Sign Problem in the MC@NLO Generation of $e^+ e^- \rightarrow q \bar{q} + 1\, jet$ Events MadNIS -- Neural Multi-Channel Importance Sampling

Reference 46

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malformed identifier
no resolver link, observed 2026-08-08T11:07:57.344086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:07:57.344086Z digest=sha256:6be235c44a8e304e7a1a98c6cf27640a5d744a509f83620ff47648781c656330

Observation 96d334ec-a21c-41f7-81d6-782df03a884d · inbound

Communicating Likelihoods with Normalising Flows cites this paper.

Communicating Likelihoods with Normalising Flows MadNIS -- Neural Multi-Channel Importance Sampling

Reference 33

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no resolver link, observed 2026-08-07T21:21:44.359928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:21:44.359928Z digest=sha256:5f962f400634c91a404542bedd80813096a448ce6f6e510ec4574f1f7e4f49dc

Observation 6b2d8971-660a-4368-9936-6b81038c13ed · inbound

Simulation-Prior Independent Neural Unfolding Procedure cites this paper.

Simulation-Prior Independent Neural Unfolding Procedure MadNIS -- Neural Multi-Channel Importance Sampling

Reference 47

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unresolved
no resolver link, observed 2026-08-06T15:48:41.956170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:48:41.956170Z digest=sha256:54a9c3d0a7ea0890109815df2ef516d1453a822c8f268c18b92fba3349b838a5

Observation 38c89430-e693-4257-9061-89e76b7e0246 · inbound

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

Toward an event-level analysis of hadron structure using differential programming MadNIS -- Neural Multi-Channel Importance Sampling

Reference 49

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unresolved
no resolver link, observed 2026-08-06T15:29:53.117259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:29:53.117259Z digest=sha256:a459bdb014dc90f4e95c48420f9a9b685712f60283fbe29cacac382f26dfbcf9

Observation acc43d76-5d43-4fd2-9322-5cac58c3d4d4 · inbound

Data-parallel leading-order event generation in MadGraph5_aMC@NLO cites this paper.

Data-parallel leading-order event generation in MadGraph5_aMC@NLO MadNIS -- Neural Multi-Channel Importance Sampling

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T13:08:14.838274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:08:14.838274Z digest=sha256:975edc9d70f7712de8b25e8986189d621e6e4253b3bb08f4528fd5b76a20139d

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

Amplitude Uncertainties Everywhere All at Once cites this paper.

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

Reference 6

Resolution
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:d76f87827e4b7111b51b639a01c71b1d438ac978acb071dc3d760d6e433777da

Observation 7756e5d9-c6d6-412c-81cd-ab4771e717c6 · inbound

Forecasting Generative Amplification cites this paper.

Forecasting Generative Amplification MadNIS -- Neural Multi-Channel Importance Sampling

Reference 14

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no resolver link, observed 2026-08-04T21:31:20.278520Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:31:20.278520Z digest=sha256:bfaa4a091b2f075b20e6e946e92fd363e1dba988b27f943ac8db72cea974bdb0

Observation f9387fa2-2a28-4dac-8fd0-553aa8286fff · inbound

Data-Driven Predictions for Dark Photon and Millicharged Particle Production cites this paper.

Data-Driven Predictions for Dark Photon and Millicharged Particle Production MadNIS -- Neural Multi-Channel Importance Sampling

Reference 71

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verified exact
arxiv_id, observed 2026-05-21T18:05:27.127630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T18:05:20.208819Z digest=sha256:fec163b10a14c836f50f44a07d55821b0056d9ee3fd1a149529947ea92cf8f60

Observation 944aba6c-ea6b-48ad-abf8-fd01d3df57f9 · inbound

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

A universal vision transformer for fast calorimeter simulations MadNIS -- Neural Multi-Channel Importance Sampling

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T12:08:14.344753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:08:14.344753Z digest=sha256:6f70f66c879e9ad165a3150ace937dc9e4229d88a3c15ba94f7278032daadd40

Observation 366869f3-9674-4f8b-bc85-a5e4436bd53d · inbound

Monte Carlo Event Generation with Continuous Normalizing Flows cites this paper.

Monte Carlo Event Generation with Continuous Normalizing Flows MadNIS -- Neural Multi-Channel Importance Sampling

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:58:04.177720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-13T17:54:22.245072Z digest=sha256:61c55c7d48a636828c43a5d4b7ac132ab6ea97a7a5be6c6ad9896ba10e462c99

Observation d500873a-7847-4992-9dec-60c90c81f367 · inbound

Nested-GPT for variable-multiplicity parton showers: A case study in the resummation of non-global logarithms cites this paper.

Nested-GPT for variable-multiplicity parton showers: A case study in the resummation of non-global logarithms MadNIS -- Neural Multi-Channel Importance Sampling

Reference 10

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verified exact
arxiv_id, observed 2026-05-20T09:43:10.861690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-20T09:42:31.642024Z digest=sha256:72ee81b5fc1376b631c1546109401c7cffffad789e2d9e6f6ffdffbf8ccaa24e

Observation 5657565e-b1a9-44c2-81a0-6d55f00271ef · inbound

Nested-GPT for variable-multiplicity parton showers: A case study in the resummation of non-global logarithms cites this paper.

Nested-GPT for variable-multiplicity parton showers: A case study in the resummation of non-global logarithms MadNIS -- Neural Multi-Channel Importance Sampling

Reference 12

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verified exact
arxiv_id, observed 2026-05-21T08:09:51.602762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T08:07:20.906466Z digest=sha256:2769a7d6069074662af4f5c4f7c9a9a81ee5087bd87c078cdde23aaa32f8ddd3

Observation 16145e65-60da-4a2f-812a-7b36d2d68457 · inbound

CoLoRFulNNLO for color-singlet processes: An update on NNLOCAL cites this paper.

CoLoRFulNNLO for color-singlet processes: An update on NNLOCAL MadNIS -- Neural Multi-Channel Importance Sampling

Reference 6

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verified exact
arxiv_id, observed 2026-07-01T19:46:10.969777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-28T22:02:59.005815Z digest=sha256:cdb0607d057c2f80dc4ddfdfc2d7dd54cb4c2ce493b242bbc93876eaf902c877

Observation afed7f29-54da-4ee2-844c-a641d6df916b · inbound

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

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters MadNIS -- Neural Multi-Channel Importance Sampling

Reference 36

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verified exact
arxiv_id, observed 2026-07-02T06:06:41.238410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-28T07:41:38.548022Z digest=sha256:ce70fb557f4458bc3601dc1629fc0c77512539c75709d46292fd1833b0ebf643

Observation 80228a13-2da6-4171-9f50-086b688e091b · inbound

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

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters MadNIS -- Neural Multi-Channel Importance Sampling

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T12:30:39.031497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:30:39.031497Z digest=sha256:f0382259a5a295dbac9700d2de694f388ff6e263862ea6d04c516e274b60f13e

Observation 23997b06-95a9-4363-bb78-eb3b3b224910 · inbound

An Optimal Transportation Approach for Improved Confidence Intervals cites this paper.

An Optimal Transportation Approach for Improved Confidence Intervals MadNIS -- Neural Multi-Channel Importance Sampling

Reference 91

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no resolver link, observed 2026-07-12T13:00:43.137180Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T13:00:43.137180Z digest=sha256:d6c1598ba0fc0812b6e684b12a387bebd68ccb7bfaec2b93e825e46f2df7bebd

Observation ff9e8115-f3ce-4d1a-a309-8230b9d4d70e · inbound

Local Conformal Predictions for Calibrated Surrogates cites this paper.

Local Conformal Predictions for Calibrated Surrogates MadNIS -- Neural Multi-Channel Importance Sampling

Reference 93

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metadata mismatch
arxiv_id, observed 2026-07-03T19:58:54.793537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-03T19:29:34.070294Z digest=sha256:33bc165c72fc46cad1582723d2ee241453d223e51c1b7699849fe8446b33b406

Observation 3a7bb349-08bf-4f00-9107-4b82adaacbe3 · inbound

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

Agentic Re-Casting using Agentic Re-Simulations MadNIS -- Neural Multi-Channel Importance Sampling

Reference 150

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no resolver link, observed 2026-08-01T04:29:12.472137Z

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source=arxiv_source observed=2026-08-01T04:29:12.472137Z digest=sha256:b3a94432cbfe68d8ae88bccbb7e7ce7fadbcb44f8bb5be512ad5725674c6764b

Observation 9ae10614-e138-42fb-8fb6-e2b7f6e4d6e3 · inbound

Neural Control Variates at LO and NLO cites this paper.

Neural Control Variates at LO and NLO MadNIS -- Neural Multi-Channel Importance Sampling

Reference 52

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no resolver link, observed 2026-07-30T18:12:21.670909Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T18:12:21.670909Z digest=sha256:2fc75e76f44d29786329c821b13ad5cec5812ae43b201382442ad2374844ba90

Observation efd1e18a-5396-431c-98c4-f8b09bdb225c · inbound

Automated NRQCD and NRQED simulations of quarkonium and leptonium production with P-wave states and physical-mass effects cites this paper.

Automated NRQCD and NRQED simulations of quarkonium and leptonium production with P-wave states and physical-mass effects MadNIS -- Neural Multi-Channel Importance Sampling

Reference 88

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no resolver link, observed 2026-07-30T22:29:53.412759Z

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source=pdf_text observed=2026-07-30T22:29:53.412759Z digest=sha256:41563a011a19053f2b67df970872692ff70fa0b8f0f205e4f294a515ca028738

Observation 614cc320-f949-45db-9a4d-5f4651040b49 · inbound

Schr\"{o}dinger Generator for High-Dimensional Integration and Sampling on Quantum Many-Body States cites this paper.

Schr\"{o}dinger Generator for High-Dimensional Integration and Sampling on Quantum Many-Body States MadNIS -- Neural Multi-Channel Importance Sampling

Reference 39

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malformed identifier
no resolver link, observed 2026-08-05T00:48:47.184251Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:48:47.184251Z digest=sha256:fd737734dcf4ba95ba53c5715316afd17d4b95095085c7474c9d56bac7ef7949