Paper Citation Record · LEDGER

Learning Likelihoods with Conditional Normalizing Flows

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:1912.00042.

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

pith.paper-citation-record.v1
1912.00042 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:24:03.998734Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

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External citation measurements

55
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 10f347c9-903f-4b5b-92c4-d4ec7fb40b41 · inbound

Generative AI for Autonomous Driving: A Review cites this paper.

Generative AI for Autonomous Driving: A Review Learning Likelihoods with Conditional Normalizing Flows

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T15:24:03.998734Z

Source-reported events for the cited work

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Observation a65ad6f0-d587-4dc2-bde2-2d4e91e1be13 · inbound

Diffusion Counterfactual Generation with Semantic Abduction cites this paper.

Diffusion Counterfactual Generation with Semantic Abduction Learning Likelihoods with Conditional Normalizing Flows

Reference 133

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.184832Z

Source-reported events for the cited work

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Observation 3b4fbfb3-5922-44c0-8254-f036e45cb82e · inbound

Inherited or produced? Inferring protein production kinetics when protein counts are shaped by a cell's division history cites this paper.

Inherited or produced? Inferring protein production kinetics when protein counts are shaped by a cell's division history Learning Likelihoods with Conditional Normalizing Flows

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:37:15.152880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9f71c091-9cd5-47b7-bb21-bf057100db08 · inbound

Factored Classifier-Free Guidance cites this paper.

Factored Classifier-Free Guidance Learning Likelihoods with Conditional Normalizing Flows

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T09:32:16.873005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9c6b8025-1ae7-4f0b-9f4d-fc5da29ab520 · inbound

Generative imaging for radio interferometry with fast uncertainty quantification cites this paper.

Generative imaging for radio interferometry with fast uncertainty quantification Learning Likelihoods with Conditional Normalizing Flows

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T13:00:46.363792Z

Source-reported events for the cited work

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Observation ad15df52-a908-4dc2-a88f-58250e44c59f · inbound

An invertible generative model for forward and inverse problems cites this paper.

An invertible generative model for forward and inverse problems Learning Likelihoods with Conditional Normalizing Flows

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T10:39:20.948799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05b6f439-e3b1-4b0f-89c8-ee90940c97c5 · inbound

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

Data-Driven Predictions for Dark Photon and Millicharged Particle Production Learning Likelihoods with Conditional Normalizing Flows

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-21T18:05:27.045747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56da0bed-7e37-485d-a5eb-7cb97ea4b3fb · inbound

Non-Invasive Reconstruction of Intracranial EEG Across the Deep Temporal Lobe from Scalp EEG based on Conditional Normalizing Flow cites this paper.

Non-Invasive Reconstruction of Intracranial EEG Across the Deep Temporal Lobe from Scalp EEG based on Conditional Normalizing Flow Learning Likelihoods with Conditional Normalizing Flows

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-02T20:17:28.472606Z

Source-reported events for the cited work

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Observation 8eaf8f6b-3e3e-4f25-affd-8e19a05168ad · inbound

Order-based Rehearsal Learning cites this paper.

Order-based Rehearsal Learning Learning Likelihoods with Conditional Normalizing Flows

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:11:12.321145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a58042a3-ce53-4c79-affb-4cdc290c37e9 · inbound

A Flow Matching Algorithm for Many-Shot Adaptation to Unseen Distributions cites this paper.

A Flow Matching Algorithm for Many-Shot Adaptation to Unseen Distributions Learning Likelihoods with Conditional Normalizing Flows

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:56:07.507007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 06749e72-99f9-45bd-9c67-782e26d9a02d · inbound

Non-Parametric Rehearsal Learning via Conditional Mean Embeddings cites this paper.

Non-Parametric Rehearsal Learning via Conditional Mean Embeddings Learning Likelihoods with Conditional Normalizing Flows

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T01:51:14.214299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7315f68c-7be3-45a0-80da-a6cde006caf7 · inbound

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest cites this paper.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Learning Likelihoods with Conditional Normalizing Flows

Reference 191

Resolution: verified exact; arxiv_id, observed 2026-05-22T04:06:02.190165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9c7c1ae9-cfd3-4011-bb89-d864c0414693 · inbound

Context-Conditioned Generative Models Enable Subnational Refinement of Sparse Humanitarian Surveys cites this paper.

Context-Conditioned Generative Models Enable Subnational Refinement of Sparse Humanitarian Surveys Learning Likelihoods with Conditional Normalizing Flows

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-28T20:32:36.638854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 07e5e063-30f3-4785-b278-051a45dd4954 · inbound

A Practical Upper Bound on Selection Bias Effects in Medical Prediction Models cites this paper.

A Practical Upper Bound on Selection Bias Effects in Medical Prediction Models Learning Likelihoods with Conditional Normalizing Flows

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:34.251847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5e1338c8-1428-45d3-8866-7850f2c3feb2 · inbound

Hierarchical RBF-KAN and RBF-SKAN Architectures for Multidimensional Function Approximation and Random Field Learning cites this paper.

Hierarchical RBF-KAN and RBF-SKAN Architectures for Multidimensional Function Approximation and Random Field Learning Learning Likelihoods with Conditional Normalizing Flows

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:36:16.835218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5c5c3319-e1da-4e26-8ef0-d4083060a4fa · inbound

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals cites this paper.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Learning Likelihoods with Conditional Normalizing Flows

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T21:07:24.312260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f01aa4cf-0804-490c-8c42-9476460dcfd3 · inbound

Uncertainty-aware Multi-fidelity Closure via Conditional Normalizing Flows cites this paper.

Uncertainty-aware Multi-fidelity Closure via Conditional Normalizing Flows Learning Likelihoods with Conditional Normalizing Flows

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:43:28.750341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b774f102-4f85-48fa-81ca-322e60e1819f · inbound

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

One Generator, Any Process: LLM-Conditioning for the LHC Learning Likelihoods with Conditional Normalizing Flows

Reference 86

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T11:39:46.437481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2b84ede5-9cf7-490e-bf02-98c8511402ae · inbound

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

One Generator, Any Process: LLM-Conditioning for the LHC Learning Likelihoods with Conditional Normalizing Flows

Reference 91

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T10:14:36.153651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e53dd1e6-16d3-40bd-a75e-339101a12cfd · inbound

Flow-Based Surrogates for High-Dimensional Likelihoods in Experimental Neutrino Physics cites this paper.

Flow-Based Surrogates for High-Dimensional Likelihoods in Experimental Neutrino Physics Learning Likelihoods with Conditional Normalizing Flows

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-12T02:13:50.235522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26758dbd-e092-4db9-ba06-20734fc46e59 · inbound

Flow-Based Surrogates for High-Dimensional Likelihoods in Experimental Neutrino Physics cites this paper.

Flow-Based Surrogates for High-Dimensional Likelihoods in Experimental Neutrino Physics Learning Likelihoods with Conditional Normalizing Flows

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-13T07:05:05.761630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a1e7997-081b-4fee-8216-eda21515ad10 · inbound

Lyman-$\alpha$ forest holography: 3D predictions from 1D measurements cites this paper.

Lyman-$\alpha$ forest holography: 3D predictions from 1D measurements Learning Likelihoods with Conditional Normalizing Flows

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-01T07:50:47.796626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.