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Paper Citation Record · LEDGER

MadNIS -- Neural Multi-Channel Importance Sampling

As of 14 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 2026-08-14T06:32:32.682623+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=sha256:111a871f01d6cc0ec4ca7d6c36140a2e24337d138255cde3a8a61f2b4c1fae73

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=sha256:652895b3077cd0d608467d8f1a39a074289b066aa73a2fa30f1d1244aa3a1c9a

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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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=sha256:705aa4d189f5c3e1c6478b9612a915ead971c6c0412addc12ee774509347b947

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=sha256:4a2150802e41626cfbe2a98445f39c328f56af466ec86c015fc34aa4d2923969

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=sha256:0afabb7cfcf895f4233b70657a1e080f87a45b90fa4188bdc2fbdf08be34123f

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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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=sha256:72ffca443abd9d9b576747516aea57fb866589caa13fc50785a7f83f70869c9c

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

Resolution
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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=sha256:61365e8436a2dc6edd5318e2d1586513d16dd8578908e0596ad94b20d9dc0354

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=sha256:408f7e095b3d262aa7c9c120aaed8b5d66b6c44a32db95814496594f08f66702

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:bc196644e6a8d367b179c5cc32af323d377219a3b6df84ed25cc23ca1d1e5262

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:d88ff106e5580b65dce94a4da5b9e23d686be210cbbc1d5fb692808e5279c46d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:05:20.208819Z digest=sha256:85fe57278df0ed49e0af65880ebd8d970f8f1e7538165ed6c3f20ff605ce7a60

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

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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=sha256:6dd158261e255eba321359802c6094878a2334528a5d087d1706ad2c7137d1b1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T17:54:22.245072Z digest=sha256:87397fbe85ef9677c1202e52941f20f516aac6ef642b6cc49b80c30a8140b458

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T09:42:31.642024Z digest=sha256:63708ab3f4708f7e3d121ad20c536515691ea752ebe1d187ed5d3efca8c29bc2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T08:07:20.906466Z digest=sha256:70e5512ddb4a48a69db55d481b759cf31d7282204ab2de3c4e76b8e03fe899fe

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T22:02:59.005815Z digest=sha256:622c92b7a35276149caf7b5d999d34862e433f2a1e05449ea34b28b20ef2bcee

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T07:41:38.548022Z digest=sha256:3878a0d17cb3a1edd81ef02f1cd680f62dfece8a1055094dd45f6e5e07fb6ae1

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

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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=sha256:4bcbcc0d892fad49d20f72a57076a716f7632d73dd4811e0c06d0308cdf2521c

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=sha256:86bfa117fefe7b55185d1aafff4d8abda366c812e28fc22a70145baa2d547355

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-03T19:29:34.070294Z digest=sha256:d52087493b876014dc5184141b873f581776cda93f5d483c459e220f3caf9297

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:29:12.472137Z digest=sha256:ecf85e08d442d7e0c69b81530dc840abd95b149a0a1e4ff6b71ceaef5c5794bc

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=sha256:878fe95c69640e5ea4105a825b6b53ad368ad099d76d4b5a32933daaec4a5504

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T22:29:53.412759Z digest=sha256:3e3667f6c93b6475ed99f6169505afeb1c09c02a8a3564e57f412bb8ec36ae4a

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.

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