Pith. sign in

Paper Citation Record · LEDGER

Neural Spline Flows

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 62 inbound Pith citation observations for arXiv:1906.04032.

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

pith.paper-citation-record.v1
1906.04032 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 62 of 62 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:19:04.534947Z

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

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 772dbf49-c36d-42dd-b4d2-7acdc3e73e97 · inbound

Shap-E: Generating Conditional 3D Implicit Functions cites this paper.

Shap-E: Generating Conditional 3D Implicit Functions Neural Spline Flows

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:32:06.726153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T15:32:06.563955Z digest=sha256:4258a98976f50217f0259c5433b8870483033148dd1d02765f7ad27c045ab832

Observation 2a00915f-9c55-4a12-8479-f7ad27085ad4 · inbound

Learning Optimal and Interpretable Summary Statistics of Galaxy Catalogs with SBI cites this paper.

Learning Optimal and Interpretable Summary Statistics of Galaxy Catalogs with SBI Neural Spline Flows

Reference 146

Resolution
unresolved
no resolver link, observed 2026-08-12T21:18:11.111425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:18:11.111425Z digest=sha256:a4949fad690e6a569bc884743a162368bb1a73d1918c81be7f679d5f67a527f1

Observation e1ce0529-6282-469b-9e93-1d931e6deded · inbound

Deep Neural Emulation of the Supermassive Black-hole Binary Population cites this paper.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Neural Spline Flows

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T19:41:51.459288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:41:51.459288Z digest=sha256:9762462ad35d0c6999356bbbd1122652cf1f7c93356fb69737d689b51fe23da6

Observation 30e0337d-18a6-477a-98cc-4cec9099e32e · inbound

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State cites this paper.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Neural Spline Flows

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-11T22:29:10.296426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:29:10.296426Z digest=sha256:a5619c3d23a000aa9528dc094fef07cf7842e72615b1cd28799d458330dd74ae

Observation b5d17427-18f6-4013-9f42-bfdfe5f23f1b · inbound

Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at $\sqrt{s}$ = 13 TeV cites this paper.

Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at $\sqrt{s}$ = 13 TeV Neural Spline Flows

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-11T22:14:45.564746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:14:45.564746Z digest=sha256:4993f436cd15f9cee1496b135fa4b5d7a2e616674ca9aab0c0d58659805cc690

Observation e6c3e29b-3990-43b9-b2eb-2047bc159263 · inbound

Application of normalizing flows to nuclear many-body perturbation theory cites this paper.

Application of normalizing flows to nuclear many-body perturbation theory Neural Spline Flows

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-10T23:59:06.551082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:59:06.551082Z digest=sha256:c7581714dc874091b7ad0946a145eb7096355c828d72b0ac68e2e4be1a3947e5

Observation cbd8f78d-a780-4529-b0ec-091e598d95a4 · inbound

Normalizing flows for SU($N$) gauge theories employing singular value decomposition cites this paper.

Normalizing flows for SU($N$) gauge theories employing singular value decomposition Neural Spline Flows

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T00:09:30.967440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:09:30.967440Z digest=sha256:061037adb171838df7773c825b06404e41cda1735577ceae92d0d00a2af52507

Observation 03bc6390-f3f0-486e-bbe5-0490598518ce · inbound

Communicating Likelihoods with Normalising Flows cites this paper.

Communicating Likelihoods with Normalising Flows Neural Spline Flows

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T21:21:44.457362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:21:44.457362Z digest=sha256:05d3c93545bd7326fb9701f4b0f156439d06262b80cfc4fefbc8a36b48f57ed6

Observation 8c1b9a9e-800e-418c-95f0-a21b68beafa0 · inbound

Constraining Population III stellar demographics with next-generation gravitational-wave observatories cites this paper.

Constraining Population III stellar demographics with next-generation gravitational-wave observatories Neural Spline Flows

Reference 152

Resolution
unresolved
no resolver link, observed 2026-08-16T10:19:04.534947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:19:04.534947Z digest=sha256:2e712199aa8bcb760f58d8408038e710664caec315fb92cae4ed09eb2397e483

Observation 4aea3a83-6ccf-4a41-8d17-aeaecc18a989 · inbound

Joint inference for gravitational wave signals and glitches using a data-informed glitch model cites this paper.

Joint inference for gravitational wave signals and glitches using a data-informed glitch model Neural Spline Flows

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-16T04:43:28.455699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:43:28.455699Z digest=sha256:3b928ed0aab27178d8c11d5d26feab2b74dc7773a61887f644ae695d10002571

Observation 08649bf6-0faa-42f6-afbc-737026b0aa89 · inbound

Assessment of normalizing flows for parameter estimation on time-frequency representations of gravitational-wave data cites this paper.

Assessment of normalizing flows for parameter estimation on time-frequency representations of gravitational-wave data Neural Spline Flows

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-22T15:21:44.929649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T15:18:34.550100Z digest=sha256:339beb6813a9376213e2636b52f482b980f29dffa1a96010aef7d893e269861a

Observation b64c2005-28d7-4f4d-85a9-6f7f37377640 · inbound

Assessment of normalizing flows for parameter estimation on time-frequency representations of gravitational-wave data cites this paper.

Assessment of normalizing flows for parameter estimation on time-frequency representations of gravitational-wave data Neural Spline Flows

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T22:10:01.768073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:10:01.768073Z digest=sha256:55e0f615b08af34a60fd2ead888b1df7c20819ed8bdd7a9c26125d8b383eb92f

Observation df529bc5-0e72-424c-8c94-3f8384e2a5ba · inbound

FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering cites this paper.

FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering Neural Spline Flows

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T21:13:47.740289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:13:47.740289Z digest=sha256:93d5983eb12242141ab698f7ee9431120889f5e85a3ac020bcf5d66d16d1fd6d

Observation e15432d3-ace3-46db-98c6-721f46bab0a5 · inbound

A fast deep-learning approach to probing primordial black hole populations in gravitational wave events cites this paper.

A fast deep-learning approach to probing primordial black hole populations in gravitational wave events Neural Spline Flows

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T15:23:03.611020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:23:03.611020Z digest=sha256:5b903c1273b74d0e9f3340837cab0033dc8da57d222a955633aa080a637f251a

Observation 538bd072-771b-487a-8c35-3c653a8b087c · inbound

Denoising Milky Way stellar survey data with normalizing flow models cites this paper.

Denoising Milky Way stellar survey data with normalizing flow models Neural Spline Flows

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T15:05:21.018987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:05:21.018987Z digest=sha256:9e4fa8e73ae4d6af8b5dc1ae543a13d39e430a0a556e649d6e68034d1c1ee5e2

Observation 5ffb979b-b687-493d-9aef-e83f3249da90 · inbound

A search for periodic AGN variability in $\textit{Gaia}$ Data Release 3 cites this paper.

A search for periodic AGN variability in $\textit{Gaia}$ Data Release 3 Neural Spline Flows

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-22T01:50:54.527086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T01:49:39.803927Z digest=sha256:d5f1d79f5ceb826b536380ab8f4f141db04ac1bb40c5210e785dad2fe7c15059

Observation db618969-3a02-44a6-8ec1-ee5650a90a06 · inbound

Parameter inference of millilensed gravitational waves using neural spline flows cites this paper.

Parameter inference of millilensed gravitational waves using neural spline flows Neural Spline Flows

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:22:18.549659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T13:21:37.451964Z digest=sha256:58681956e2f355d12b8ebb35cef12835e59d8dc3dfa68488e298e9eb5865cef3

Observation 985a7fed-551b-403c-a23e-59d0970a66a1 · inbound

Wavelet Flow For Extragalactic Foreground Simulations cites this paper.

Wavelet Flow For Extragalactic Foreground Simulations Neural Spline Flows

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:03.006007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:03.006007Z digest=sha256:068d62288b09ec8f150bbeab8a3d9ff60bc21ca65d4dc814ce4dfa992d9df7df

Observation d25eec0a-0c71-4a4b-89b6-74285db549a9 · inbound

Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows cites this paper.

Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Neural Spline Flows

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T10:20:19.763492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:19.763492Z digest=sha256:d632fd1dfa1e17b98f58d53ac9d5e24078590abb725a29bc3a230b5a98df6bd8

Observation d0960c10-67f3-476b-b098-e29593f7587b · inbound

Primordial Black Holes and the First Stars cites this paper.

Primordial Black Holes and the First Stars Neural Spline Flows

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T06:05:52.976108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:05:52.976108Z digest=sha256:39aa721f528c4d9e4e1922e178bc6b736c1342e8b73b055553fb8be81ed0d0c6

Observation 0c0130fc-1698-4ca1-bcde-5e70d8918fcc · 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 Neural Spline Flows

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:37:14.856275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T10:34:08.515663Z digest=sha256:45a2f0d40bfe8b829141c2e12e5658d38ff065c4c8cc6ff16a9e2b63386d8aa8

Observation 6e32e631-8024-4f4c-a355-7bdd719677a9 · inbound

Statistical Machine Learning for Astronomy -- A Textbook cites this paper.

Statistical Machine Learning for Astronomy -- A Textbook Neural Spline Flows

Reference 1973

Resolution
unresolved
no resolver link, observed 2026-08-07T01:00:28.090650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:00:28.090650Z digest=sha256:5fb57a0b411491331a7f3b85a8a82025832d961fbc7c18aedcb3cd10fb025c04

Observation 45565b1a-7866-4420-af85-e491b0179b4c · inbound

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

Efficient many-jet event generation with Flow Matching Neural Spline Flows

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T18:48:36.206083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:48:36.206083Z digest=sha256:ce944c8648b05f60e9daf617af90fb1fe91d058f15ee0f5b54fa22d54e9c2f79

Observation 104e92da-4811-4b3c-b1ba-5f9070994486 · inbound

Simulation-Based Inference: A Practical Guide cites this paper.

Simulation-Based Inference: A Practical Guide Neural Spline Flows

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-15T17:21:41.701964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:41.701964Z digest=sha256:8dcd07697a617eac9f3b7bd066b83a1611f743b451db7faf54790e9e39bde512

Observation e13758b3-2ca8-4860-98d2-46c96ff6d074 · inbound

Machine Learning Assisted Parameter-Space Searches for Lensed Gravitational Waves cites this paper.

Machine Learning Assisted Parameter-Space Searches for Lensed Gravitational Waves Neural Spline Flows

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-04T22:56:00.626425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:56:00.626425Z digest=sha256:23beb296a057b6c310a56ce1d9db34afe768013f19de5b8861d2b27a71295b2c

Observation 7286b691-b413-45be-99e2-2db33fdad5eb · inbound

Trends in the Population of Binary Black Holes Following the Fourth Gravitational-Wave Transient Catalog: a Data-Driven Analysis cites this paper.

Trends in the Population of Binary Black Holes Following the Fourth Gravitational-Wave Transient Catalog: a Data-Driven Analysis Neural Spline Flows

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-04T18:38:51.105890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:38:51.105890Z digest=sha256:76824792945041d73fd13d5aaceafd3c0296414cdee47aa6644c5ad92314a61e

Observation bb8383bc-e6ba-4639-ab5e-f525758561a0 · inbound

Accurate models for recoil velocity distribution in black hole mergers with comparable to extreme mass-ratios and their astrophysical implications cites this paper.

Accurate models for recoil velocity distribution in black hole mergers with comparable to extreme mass-ratios and their astrophysical implications Neural Spline Flows

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-03T22:13:56.101298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:13:56.101298Z digest=sha256:1d2bddba92fd33d2a51200a79e8fc67cda74f0293f1de9628e64dee60ecf6664

Observation 32d1ac64-5c57-4370-96f8-692bd1153cc5 · inbound

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

Data-Driven Predictions for Dark Photon and Millicharged Particle Production Neural Spline Flows

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-21T18:05:26.999644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-21T18:05:20.208819Z digest=sha256:488f74662a2656120b076c03d3a023a75f090712ee8428ea24d56b11d5ac5cb0

Observation 344ca43d-3240-4d85-ad50-b0df146667f3 · inbound

Machine-learning techniques for model-independent searches in dijet final states cites this paper.

Machine-learning techniques for model-independent searches in dijet final states Neural Spline Flows

Reference 109

Resolution
unresolved
no resolver link, observed 2026-08-03T14:29:25.332280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:29:25.332280Z digest=sha256:8cce8e8cd60938501d46640c80bfd0282b0db17a09d76d3fc8eb332a50647296

Observation e3803287-a5dc-43c5-a3b9-65d0e4952bc2 · inbound

Analytic Bijections for Smooth and Interpretable Normalizing Flows cites this paper.

Analytic Bijections for Smooth and Interpretable Normalizing Flows Neural Spline Flows

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T10:21:58.875991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:21:58.875991Z digest=sha256:ef2893c67800a339dbc2259ec3e35744626b81951bb568f8cf4c1c141a65fb24

Observation 3db3497a-f976-49a3-a05e-b9f9257b3ade · inbound

Replicating weak-lensing summary-statistic covariances with normalizing flows cites this paper.

Replicating weak-lensing summary-statistic covariances with normalizing flows Neural Spline Flows

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-03T07:22:26.141933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:22:26.141933Z digest=sha256:838eef762d431f135677ca47540be5efa4c01e37221e90bb888d4a22e8a136fe

Observation f082f1fe-db6d-4405-9d71-a6b501477644 · inbound

MadSpace -- Event Generation for the Era of GPUs and ML cites this paper.

MadSpace -- Event Generation for the Era of GPUs and ML Neural Spline Flows

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-03T03:52:01.299904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:52:01.299904Z digest=sha256:345479113c2fb24c7baa300a97e8ee67e6ee8b349a9d0c78ca2b506d90e72f3a

Observation 09b790f7-d2fb-49d1-ad4e-48c5651fdb97 · inbound

Profiling systematic uncertainties in Simulation-Based Inference with Factorizable Normalizing Flows cites this paper.

Profiling systematic uncertainties in Simulation-Based Inference with Factorizable Normalizing Flows Neural Spline Flows

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T23:36:53.030410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:36:53.030410Z digest=sha256:8ef49de10d3bce2b153430b12f91413a47f5c5d71ef3db7b38f80d53971ec306

Observation be61bc6c-c6a9-4dca-b6ad-e6f79ecf8014 · inbound

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

Monte Carlo Event Generation with Continuous Normalizing Flows Neural Spline Flows

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:58:04.175267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T17:54:22.245072Z digest=sha256:6423c11d28aa3f3b59b1690d9ee5a10b1c75a1f20c1fdcd45162d992cd335607

Observation f223aa91-ce14-451e-84bd-02dfab729856 · inbound

Dartmouth Stellar Evolution Emulator (DSEE) 1: Generative Stellar Evolution Model Database cites this paper.

Dartmouth Stellar Evolution Emulator (DSEE) 1: Generative Stellar Evolution Model Database Neural Spline Flows

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T18:40:43.272625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T18:40:38.108564Z digest=sha256:e78c857e9b34a40f8dafeac144ae0feef533cf393846d8d460657e70847188ce

Observation 31f80115-b1bb-490b-807c-5e2b65c8900a · inbound

Tokenised Flow Matching for Hierarchical Simulation Based Inference cites this paper.

Tokenised Flow Matching for Hierarchical Simulation Based Inference Neural Spline Flows

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T01:10:08.712109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T01:08:09.235936Z digest=sha256:d29058b99d5c7408d98d60fb9bd879bea4229b757148d897a2281a447103c86f

Observation a666ee51-57a1-4645-9e56-2fcfa22d0029 · inbound

Pre-localization of Massive Black Hole Binaries in the Millihertz Band cites this paper.

Pre-localization of Massive Black Hole Binaries in the Millihertz Band Neural Spline Flows

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:51:22.357529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T02:21:19.211958Z digest=sha256:88217bcc8f91bd254e84d2bd5dd9d028090771bda17ecb9b2b655f27c27173f8

Observation 56bc0cce-d534-42c2-b535-176a6f8bb7c1 · inbound

Normalizing flows for density estimation in multi-detector gravitational-wave searches cites this paper.

Normalizing flows for density estimation in multi-detector gravitational-wave searches Neural Spline Flows

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:06:26.371386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-07T12:53:40.252894Z digest=sha256:b89f12b9507d98da86eb13ce8e6964fe15f491cd0f6b6b2ccbd3c109c3e365b2

Observation ba6c19cc-62cd-4f54-a3bf-b7ed85fd17d4 · inbound

End-to-End Population Inference from Gravitational-Wave Strain using Transformers cites this paper.

End-to-End Population Inference from Gravitational-Wave Strain using Transformers Neural Spline Flows

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:02:06.164203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T02:01:54.336667Z digest=sha256:a8ec907680fe5a6fefe6dc3ead3161f4489f3a141a1bc47fdece9a653c0d4089

Observation 4f971ce4-b8f0-4bc8-842c-1626391a6e92 · inbound

GenSBI: Generative Methods for Simulation-Based Inference in JAX cites this paper.

GenSBI: Generative Methods for Simulation-Based Inference in JAX Neural Spline Flows

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:53:51.798279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T18:44:35.962392Z digest=sha256:ff8f848c3d1a95298ef3761a43a967e9690996b28d014bcbf9bbcd8bdd88c92f

Observation 031b57df-8c42-42d4-8a3c-ed13011f7fbd · inbound

Characterizing Stellar Streams with Error-Aware Machine Learning cites this paper.

Characterizing Stellar Streams with Error-Aware Machine Learning Neural Spline Flows

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T16:41:03.803467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T16:04:37.505047Z digest=sha256:e6ebabed6aac3c1d447f3147795ded441bfcc280c5e8e5219a58346b98e025d2

Observation fc9b3961-ef49-461b-b0e4-763e7544fdb1 · inbound

Cluster Mass Inference from Galaxy Kinematics cites this paper.

Cluster Mass Inference from Galaxy Kinematics Neural Spline Flows

Reference 58

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T07:30:41.899127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-27T06:16:37.393826Z digest=sha256:ac5bd450b432ae8225b52807540f6b6ef3cce17dfb0e883d1481dc7fbf46c410

Observation 48f05847-45d2-4898-aa51-428bea11b83a · inbound

Fortifying gravitational-wave population inference with normalizing flows cites this paper.

Fortifying gravitational-wave population inference with normalizing flows Neural Spline Flows

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-02T11:36:02.451330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:36:02.451330Z digest=sha256:4dcff08a9e25ab32747510ed387a6029295e538cc7c62a7af3a06c064a52ad29

Observation 6ecfb024-9e25-4a5a-aa39-387931fe2f95 · inbound

Field-level vs summaries: convergence of information in non-Gaussian density fields cites this paper.

Field-level vs summaries: convergence of information in non-Gaussian density fields Neural Spline Flows

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-03T22:49:01.269516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T23:17:48.555984Z digest=sha256:f30dbce65611cb18b58f9fe5e9635e82b3caa7ff7067e2c305aa2a0542860f5c

Observation 0060b480-a154-4ce2-9e86-42a92bf1110e · inbound

Projecting the ultimate pulsar timing sensitivity to dark matter substructure in a stochastic gravitational wave background cites this paper.

Projecting the ultimate pulsar timing sensitivity to dark matter substructure in a stochastic gravitational wave background Neural Spline Flows

Reference 60

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T22:59:02.791674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T23:10:45.357793Z digest=sha256:0e89489f251038a8ec112e8f6af0ae452c2a04b6ef59ba51c36b0667889feb02

Observation b2b5c6d2-d15f-4e74-b672-86623a26ef9b · inbound

Dark Matter in Draco and Bo\"otes I: Hints of a Core in an Ultra-Faint Dwarf from Simulation-Based Inference cites this paper.

Dark Matter in Draco and Bo\"otes I: Hints of a Core in an Ultra-Faint Dwarf from Simulation-Based Inference Neural Spline Flows

Reference 153

Resolution
metadata mismatch
arxiv_id, observed 2026-06-26T01:58:54.568736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-26T01:51:38.600269Z digest=sha256:d6687bdcdc5cee0721d0a376a8eab8800ab4f382ee459c86ffb8aadc432927d1

Observation b4a413a0-9ef4-48b7-b4d7-aebe635efc29 · inbound

Neural posterior estimation of Galactic Binary signals for the LISA mission cites this paper.

Neural posterior estimation of Galactic Binary signals for the LISA mission Neural Spline Flows

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:14:25.960801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T08:04:25.273338Z digest=sha256:c27649ae4b5e2c2ea36f93808d05d1d8ab39a07c1c1b5cc47a48606d2e658687

Observation 95557c5d-4156-40e4-9a1d-accedefcbfe8 · inbound

Factorizable Normalizing Flows for parameter-dependent density morphing cites this paper.

Factorizable Normalizing Flows for parameter-dependent density morphing Neural Spline Flows

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:25:47.358033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T03:41:22.092575Z digest=sha256:eae69db65adf47b6ad0ebd6a71fd423e4b8ee1a1035f7df6f90eb11f7ab17af4

Observation 3e31d516-68f7-4338-bf14-8d6c43c39a30 · inbound

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky cites this paper.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Neural Spline Flows

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:56:27.191459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-09T18:52:42.108338Z digest=sha256:63e4350e3de84772f27083caf2f74a9d617399646d8757b2ce0770d60abf92d3

Observation 9b75158f-1efa-411b-8538-ad8ccbe84228 · inbound

Probabilistic redshift estimation of unresolved galaxies from multi-band background light maps cites this paper.

Probabilistic redshift estimation of unresolved galaxies from multi-band background light maps Neural Spline Flows

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-02T01:54:11.376327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:54:11.376327Z digest=sha256:b23db30c0546044dc0125f1bed82c31d22bb3b9a61bb8f3f0d61f74526246c40

Observation ddf20fdf-43e8-45b7-8a9d-0df36a8991ce · inbound

Search for new scalars via $X \rightarrow SH \rightarrow b\bar{b}b\bar{b}$ in proton-proton collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector cites this paper.

Search for new scalars via $X \rightarrow SH \rightarrow b\bar{b}b\bar{b}$ in proton-proton collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector Neural Spline Flows

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-01T15:25:08.619374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:25:08.619374Z digest=sha256:2fb2852f3067bb92a167a2d1d801b4e0ad95024feb883a3c2909918072c30246

Observation ec12f8ad-3bfc-42fc-ade4-81b3208a2867 · inbound

Towards anomaly detection searches for new physics signatures including Higgs bosons with weakly supervised machine learning cites this paper.

Towards anomaly detection searches for new physics signatures including Higgs bosons with weakly supervised machine learning Neural Spline Flows

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-01T12:51:48.306158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:51:48.306158Z digest=sha256:2bd006226a321abb82056d2a7c5512a482b4b1184aece4f0245c4a93fd2f4663

Observation f14e0dc5-b64c-4241-9d26-b060c577700c · inbound

LMC-induced Perturbations in the Milky Way Halo II: Bridging Field-level Inference and Summary-level Simulation-Based Inference cites this paper.

LMC-induced Perturbations in the Milky Way Halo II: Bridging Field-level Inference and Summary-level Simulation-Based Inference Neural Spline Flows

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-01T11:10:06.168081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T11:10:06.168081Z digest=sha256:c590c19da5032980a23d10b27f7015bc784f26b54642e4fa0dc5f4fa63b0aff5

Observation fc5090de-09af-4760-ac29-5f823a1aeca3 · inbound

Correlated signals of ultralight scalar dark matter in pulsar timing cites this paper.

Correlated signals of ultralight scalar dark matter in pulsar timing Neural Spline Flows

Reference 50

Resolution
unresolved
no resolver link, observed 2026-07-31T06:17:24.995115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T06:17:24.995115Z digest=sha256:9d2f5f6e440c496395ef0238a37ae8218cf431cb3751a7515fc8432b8e3a563e

Observation ed57be7f-012e-4c13-b03a-6d16ce97dc66 · inbound

Path-length dependence of parton energy loss across collision systems: a Bayesian analysis of charged-particle RAA, consistent with a universal exponent from O+O to Pb+Pb cites this paper.

Path-length dependence of parton energy loss across collision systems: a Bayesian analysis of charged-particle RAA, consistent with a universal exponent from O+O to Pb+Pb Neural Spline Flows

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T15:32:09.193469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:32:09.193469Z digest=sha256:bad2bc8a0e31bb78ac3859cb9912c4c387c6fd05bce3ac111d3ef6bb35e61cce

Observation 9fcd6d78-b2bb-4b18-8b83-b574751e98ff · inbound

Emulating the complex galactic-scale orbital dynamics of LISA massive black hole pairs with normalizing flows cites this paper.

Emulating the complex galactic-scale orbital dynamics of LISA massive black hole pairs with normalizing flows Neural Spline Flows

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-01T00:48:40.550989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T00:48:40.550989Z digest=sha256:f3838261e416d7b26f82376d63187c260695ee56058841e7630794dee814b3b6

Observation 5b279f19-cdf0-4ab5-8c13-225fa00519e5 · inbound

A Simulation Based Inference Approach to Modelling of Type Ia Supernova Populations cites this paper.

A Simulation Based Inference Approach to Modelling of Type Ia Supernova Populations Neural Spline Flows

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-03T00:38:52.052452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:38:52.052452Z digest=sha256:a51cca064fc9427216667f9b94ad80eb31c822b0ba40c0e29e8ad0e13a1ff1cf

Observation e503b50d-10b5-4ea8-be28-d1687f3283c0 · 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 Neural Spline Flows

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-05T00:48:49.846220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:48:49.846220Z digest=sha256:6c324ffe0d1b382996fa77c4598ebf666a5a03ddaa89df9a6856f421e55ec814

Observation 36000f37-7427-4765-abc4-d982cc0d4c4c · inbound

Unified remnant models for aligned-spin, precessing, and eccentric binary black hole mergers cites this paper.

Unified remnant models for aligned-spin, precessing, and eccentric binary black hole mergers Neural Spline Flows

Reference 143

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:44.218430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:44.218430Z digest=sha256:857fd9af4872520e90f7b5b28c27834b0f4ff9a295c96fc69855166569dc1703

Observation 4289047d-958d-4a26-925f-c45bc540d5b7 · inbound

Tabular foundation models for the estimation of probabilistic quasar photometric redshifts in S-PLUS cites this paper.

Tabular foundation models for the estimation of probabilistic quasar photometric redshifts in S-PLUS Neural Spline Flows

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-14T04:15:47.438476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:15:47.438476Z digest=sha256:84e75d6c1760b5fabd25b9f5948c4308f00260202ce6c5ae9e4121aae48fa131

Observation c0b94606-16c0-47d5-bff1-c44e84424bf1 · inbound

TauPolaris: reconstructing tau lepton polarimetric vectors with conditional normalizing flows cites this paper.

TauPolaris: reconstructing tau lepton polarimetric vectors with conditional normalizing flows Neural Spline Flows

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T13:29:15.586431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:29:15.586431Z digest=sha256:67d71b018c4d46b3eb77d19f3ddadd54bc66a0a873c28adcc399c375a98262c7

Observation 40019a4c-f9f1-46dd-8b5b-769d9a7e55bc · inbound

Don't Cut Corners: How Training Outside the Prior Makes Simulation-Based Inference More Robust cites this paper.

Don't Cut Corners: How Training Outside the Prior Makes Simulation-Based Inference More Robust Neural Spline Flows

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T00:12:52.074995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:12:52.074995Z digest=sha256:9806c5d1535241930894481c67c7453cbd9a2c05dcbbebdb5ed4c2469cb4ff2c