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Paper Citation Record · LEDGER

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

As of 18 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2607.07158.

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

pith.paper-citation-record.v1
2607.07158 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-09T18:52:42.108338Z

measured 55 of 55 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

55 of 55 outbound references displayed

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  • verified fuzzy4
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5f8fd98a-000a-4f88-be7c-3d7d72a42975 · outbound

This paper cites The Large Area Telescope on the Fermi Gamma-ray Space Telescope Mission.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky The Large Area Telescope on the Fermi Gamma-ray Space Telescope Mission

Reference 1

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Observation bd94badf-4957-42b1-a634-18cee9143469 · outbound

This paper cites The Aquarius Project: the subhalos of galactic halos.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky The Aquarius Project: the subhalos of galactic halos

Reference 2

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local_arxiv, observed 2026-07-09T18:56:27.174555Z

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Observation c8036b77-dc44-4647-a483-31b0775ee666 · outbound

This paper cites Dark matter subhalos and the dwarf satellites of the Milky Way.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Dark matter subhalos and the dwarf satellites of the Milky Way

Reference 3

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local_arxiv, observed 2026-07-09T18:56:27.196697Z

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Observation 9a4eff24-5448-4502-8a0a-cb7e62c9c9f9 · outbound

This paper cites Detecting Axion-Like Particles With Gamma Ray Telescopes.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Detecting Axion-Like Particles With Gamma Ray Telescopes

Reference 4

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local_arxiv, observed 2026-07-09T18:56:27.232549Z

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Observation 36bd7314-6bc6-43f2-b4a2-a75a0846f7a2 · outbound

This paper cites Fermi's Sibyl: Mining the gamma-ray sky for dark matter subhaloes.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Fermi's Sibyl: Mining the gamma-ray sky for dark matter subhaloes

Reference 5

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Observation fc53882e-b367-43cb-a39b-29f8e67b9953 · outbound

This paper cites Classification and Ranking of Fermi LAT Gamma-ray Sources from the 3FGL Catalog using Machine Learning Techniques.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Classification and Ranking of Fermi LAT Gamma-ray Sources from the 3FGL Catalog using Machine Learning Techniques

Reference 6

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Observation ee4dc42d-07ba-4390-81f2-b1fc42c1aab1 · outbound

This paper cites Blazar Flaring Patterns (B-FlaP): Classifying Blazar Candidates of Uncertain type in the third Fermi-LAT catalog by Artificial Neural Networks.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Blazar Flaring Patterns (B-FlaP): Classifying Blazar Candidates of Uncertain type in the third Fermi-LAT catalog by Artificial Neural Networks

Reference 7

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Observation 09ec7206-9ec0-4088-b8ee-86724e501f08 · outbound

This paper cites 3FGLzoo. Classifying 3FGL Unassociated Fermi-LAT Gamma-ray Sources by Artificial Neural Networks.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky 3FGLzoo. Classifying 3FGL Unassociated Fermi-LAT Gamma-ray Sources by Artificial Neural Networks

Reference 8

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Observation ddb1fd91-4ff2-413e-a8a4-1af970ccbff1 · outbound

This paper cites Classification of Fermi-LAT sources with deep learning using energy and time spectra.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Classification of Fermi-LAT sources with deep learning using energy and time spectra

Reference 9

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Observation 80dd9f17-234a-4d15-8761-b45ae382e5a6 · outbound

This paper cites Classification of Fermi-LAT blazars with Bayesian neural networks.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Classification of Fermi-LAT blazars with Bayesian neural networks

Reference 10

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Observation f8c48007-cf8f-4aa2-825f-456c45011fed · outbound

This paper cites 3FGL Demographics Outside the Galactic Plane using Supervised Machine Learning: Pulsar and Dark Matter Subhalo Interpretations.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky 3FGL Demographics Outside the Galactic Plane using Supervised Machine Learning: Pulsar and Dark Matter Subhalo Interpretations

Reference 11

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Observation 1db45b83-eb25-463f-b95e-b22a605d4c27 · outbound

This paper cites Unidentified Gamma-ray Sources as Targets for Indirect Dark Matter Detection with the Fermi-Large Area Telescope.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Unidentified Gamma-ray Sources as Targets for Indirect Dark Matter Detection with the Fermi-Large Area Telescope

Reference 12

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Observation 2f7372b9-2cef-45b8-8d41-625f6ea8bd5e · outbound

This paper cites Machine-Learned Dark Matter Subhalo Candidates in the 4FGL-DR2: Search for the Perturber of the GD-1 Stream.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Machine-Learned Dark Matter Subhalo Candidates in the 4FGL-DR2: Search for the Perturber of the GD-1 Stream

Reference 13

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Observation ea012c3d-a68e-4674-978c-d0e8f8e9490a · outbound

This paper cites A search for dark matter among Fermi-LAT unidentified sources with systematic features in Machine Learning.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky A search for dark matter among Fermi-LAT unidentified sources with systematic features in Machine Learning

Reference 14

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Observation 0a2ff4bc-d268-477e-966e-3533216fc635 · outbound

This paper cites Search for dark matter subhalos among unassociated Fermi-LAT sources in presence of dataset shift.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Search for dark matter subhalos among unassociated Fermi-LAT sources in presence of dataset shift

Reference 15

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Observation b4a3f501-194b-4763-b863-47bcfc89f2da · outbound

This paper cites Searching for dark matter subhalos in the Fermi-LAT catalog with Bayesian neural networks.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Searching for dark matter subhalos in the Fermi-LAT catalog with Bayesian neural networks

Reference 16

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Observation c5c86d04-1630-4b57-b759-f45273120a52 · outbound

This paper cites Hernández-González, I.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Hernández-González, I

Reference 17

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Observation 0231eb52-5174-4340-8157-b3fe919c9be4 · outbound

This paper cites Zhou,A brief introduction to weakly supervised learning,National Science Review5 (2018) 44.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Zhou,A brief introduction to weakly supervised learning,National Science Review5 (2018) 44

Reference 18

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Observation 61c40548-db6f-4bed-9b95-6dc663b547de · outbound

This paper cites Classification without labels: Learning from mixed samples in high energy physics.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Classification without labels: Learning from mixed samples in high energy physics

Reference 19

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Observation f683911a-88dd-450f-812c-dbe815ee63de · outbound

This paper cites Extending the Bump Hunt with Machine Learning.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Extending the Bump Hunt with Machine Learning

Reference 20

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Observation 938bb8f9-e971-46ae-a85a-b0a9a1ba5735 · outbound

This paper cites Karagiorgi, G.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Karagiorgi, G

Reference 21

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Observation 66eb5989-2e2d-4d3b-a717-73b03953787c · outbound

This paper cites Machine Learning for Anomaly Detection in Particle Physics.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Machine Learning for Anomaly Detection in Particle Physics

Reference 22

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Observation 42f37128-13a7-4f02-868f-dae891f32ad3 · outbound

This paper cites Via Machinae: Searching for Stellar Streams using Unsupervised Machine Learning.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Via Machinae: Searching for Stellar Streams using Unsupervised Machine Learning

Reference 23

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Observation 9f7adcab-329f-49c0-a9de-51d85b669283 · outbound

This paper cites Via Machinae 2.0: Full-Sky, Model-Agnostic Search for Stellar Streams in Gaia DR2.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Via Machinae 2.0: Full-Sky, Model-Agnostic Search for Stellar Streams in Gaia DR2

Reference 24

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Observation 4a94d27a-d941-485a-a985-82c4b4417f8b · outbound

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Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Weakly-Supervised Anomaly Detection in the Milky Way

Reference 25

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Observation fe4156a5-19d5-414b-bb59-be6869b13f3c · outbound

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Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Via Machinae 3.0: A search for stellar streams in Gaia with the CATHODE algorithm

Reference 26

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Observation bb9f789a-3e11-4487-b43d-8577510586ab · outbound

This paper cites Characterization and classification of $\gamma$-ray bursts from blazars.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Characterization and classification of $\gamma$-ray bursts from blazars

Reference 27

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Observation da9f34de-b8b9-460c-a036-f9d9e7c0fb6f · outbound

This paper cites Friedman,Greedy function approximation: A gradient boosting machine.,Annals of Statistics29(2001) 1189.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Friedman,Greedy function approximation: A gradient boosting machine.,Annals of Statistics29(2001) 1189

Reference 28

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Observation 5a2a07a7-60a2-4d68-bcad-f6e73aee29dd · outbound

This paper cites Back To The Roots: Tree-Based Algorithms for Weakly Supervised Anomaly Detection.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Back To The Roots: Tree-Based Algorithms for Weakly Supervised Anomaly Detection

Reference 29

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Observation 624a0848-c89f-44e8-b291-7c777cd5e669 · outbound

This paper cites Why do tree-based models still outperform deep learning on tabular data?.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Why do tree-based models still outperform deep learning on tabular data?

Reference 30

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Observation f5a09931-78d6-47a0-af54-bd6f9ab6c475 · outbound

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Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Classifying Anomalies THrough Outer Density Estimation (CATHODE)

Reference 31

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Observation ea034624-10f5-421f-b13f-ca69b785c53e · outbound

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Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Variational Inference with Normalizing Flows

Reference 32

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Source-reported events for the cited work

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Observation 9ed93751-ef8d-412a-b841-d5e7e5af8df3 · outbound

This paper cites Density estimation using Real NVP.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Density estimation using Real NVP

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:56:27.204620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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

This paper cites Neural Spline Flows.

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 2026-08-18T06:34:40.430872+00:00.

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Observation 8f3e3794-a4bd-489e-a465-0311534f56de · outbound

This paper cites PPPC 4 DM ID: A Poor Particle Physicist Cookbook for Dark Matter Indirect Detection.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky PPPC 4 DM ID: A Poor Particle Physicist Cookbook for Dark Matter Indirect Detection

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:56:27.199165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation aa6f464e-2f1a-4199-95de-9573d3342b50 · outbound

This paper cites an unresolved cited work.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-07-09T18:56:27.425400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d71153f0-0ec0-40cb-b638-bd73bff6b89b · outbound

This paper cites The landscape of QCD axion models.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky The landscape of QCD axion models

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:56:27.213142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f77af830-41d4-4676-b006-b9bfe9d2acda · outbound

This paper cites Axion Dark Matter: What is it and Why Now?.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Axion Dark Matter: What is it and Why Now?

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:56:27.245999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T18:52:42.108338Z digest=sha256:f95f5822c1f1eb817f55048997ba5e6d8f6d62f7cafe16a857ecf862216af92e

Observation 2432b232-6a1e-4691-a54a-489d8dfeee4d · outbound

This paper cites Cosmology of axion dark matter.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Cosmology of axion dark matter

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:56:27.151722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3344a2ff-54a2-456d-b1ff-9058ea026ce1 · outbound

This paper cites Gamma-ray spectral modulations of Galactic pulsars caused by photon-ALPs mixing.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Gamma-ray spectral modulations of Galactic pulsars caused by photon-ALPs mixing

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:56:27.200826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1257181f-f542-4136-9e77-61ac7de623d3 · outbound

This paper cites Searching for spectral oscillations due to photon-axionlike particle conversion using the Fermi-LAT observations of bright supernova remnants.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Searching for spectral oscillations due to photon-axionlike particle conversion using the Fermi-LAT observations of bright supernova remnants

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:56:27.189445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 294ced01-f9b5-48a4-92a1-bafc17660f99 · outbound

This paper cites Constraints on axion-like particle properties with very high energy gamma-ray observations of Galactic sources.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Constraints on axion-like particle properties with very high energy gamma-ray observations of Galactic sources

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:56:27.214224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3300bfc9-74ed-4191-b5de-0077d809ee74 · outbound

This paper cites Reconciling hints on axion-like-particles from high-energy gamma rays with stellar bounds.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Reconciling hints on axion-like-particles from high-energy gamma rays with stellar bounds

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:56:27.172797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T18:52:42.108338Z digest=sha256:aa2140f471852fd588887b8c879a49c56c884f337ea4f014e5fa9c4c5ab02853

Observation a3f69a34-b533-46cf-b419-7e898755bf60 · outbound

This paper cites Axion-Like Particle Searches with IACTs.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Axion-Like Particle Searches with IACTs

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:56:27.216607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T18:52:42.108338Z digest=sha256:ff91296c73593e8617ca0585663dd6d4373938be6169a9cae2d555a69fdbc6dd

Observation 55aa7703-f022-4852-bab0-b3beee85c155 · outbound

This paper cites Astrophysical limits on very light axion-like particles from Chandra grating spectroscopy of NGC 1275.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Astrophysical limits on very light axion-like particles from Chandra grating spectroscopy of NGC 1275

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:56:27.234296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T18:52:42.108338Z digest=sha256:da259823116ed3ff5946ab7eef4102aa2ace1c5f8fc0b8e721d0f316dbd99785

Observation 939fd82a-36f3-403d-82f8-8657ced2ae8f · outbound

This paper cites Detecting ALP wiggles at TeV energies.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Detecting ALP wiggles at TeV energies

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:56:27.248864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T18:52:42.108338Z digest=sha256:cf1726f965c5e02012d2a181fce21e04ccc69acfa02a64b41198d36c12faf82b

Observation ab485370-5e7f-45f6-89f1-ffb0bb63c84b · outbound

This paper cites Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:56:27.230187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T18:52:42.108338Z digest=sha256:0f33b4bfed2401ebfd11cc8bf867cc2ca61ca3503d7c341991a4f6674e50b15a

Observation c1034542-2e44-4ee4-85a8-af5cd7068a7d · outbound

This paper cites Stochastic conversions of TeV photons into axion-like particles in extragalactic magnetic fields.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Stochastic conversions of TeV photons into axion-like particles in extragalactic magnetic fields

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:56:27.208804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T18:52:42.108338Z digest=sha256:d010b506843a0eee5699dc6f1499cd97d89394073dbe76f4c0686792ab2f855e

Observation 6341e4b5-8a1e-4ae5-9e34-0b36ec7aa668 · outbound

This paper cites Practical Modeling of Large-Scale Galactic Magnetic Fields: Status and Prospects.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Practical Modeling of Large-Scale Galactic Magnetic Fields: Status and Prospects

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:56:27.206268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T18:52:42.108338Z digest=sha256:12c2b2c0d6904c6fd9c03157b1f0422b451f433d994253a769bcb6b9a7af94da

Observation 43c8ce22-3561-4a94-91be-b1527ece0daa · outbound

This paper cites A New Model of the Galactic Magnetic Field.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky A New Model of the Galactic Magnetic Field

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:56:27.194222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T18:52:42.108338Z digest=sha256:bb0b2e81cca78494bfd55a0f1f1055a45f1f4cdc399036152d13bec5624554ca

Observation e595f1b5-86ab-43f1-bae7-356179e25e13 · outbound

This paper cites The Coherent Magnetic Field of the Milky Way.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky The Coherent Magnetic Field of the Milky Way

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:56:27.241604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T18:52:42.108338Z digest=sha256:00002fe644a4f7285fb6dd80f19034f6dc4de723cdbb2af898262c11ccfaf0b1

Observation a10b1e94-b5c8-4560-bce4-99db5313cbf8 · outbound

This paper cites Turbulent axion-photon conversions in the Milky-Way.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Turbulent axion-photon conversions in the Milky-Way

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:56:27.240837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T18:52:42.108338Z digest=sha256:d0de5b48e739b77f818cf4fb846aaa191dba3cef9c80983ff2226170bb401606

Observation 00107579-0b5e-4d37-8548-85e0499163e0 · outbound

This paper cites gammaALPs: An open-source python package for computing photon-axion-like-particle oscillations in astrophysical environments.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky gammaALPs: An open-source python package for computing photon-axion-like-particle oscillations in astrophysical environments

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:56:27.180496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T18:52:42.108338Z digest=sha256:623eda101e015a44dc2263bf9f1bf4fb7cc71be5056436c13152ad89e8be6c45

Observation 7692b209-2020-42b3-ad78-8751e278d30a · outbound

This paper cites Bhattacharjee, C.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Bhattacharjee, C

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-07-09T18:56:27.183411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T18:52:42.108338Z digest=sha256:6f57e0045a9028f174e99c5d48b80abb0fe3bf433aadc8c841080e4d4fad2fc3

Observation 109a515f-3d53-4907-9322-c7ca24d31464 · outbound

This paper cites Cubic-Spline Flows.

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

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:56:27.238278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T18:52:42.108338Z digest=sha256:69d157dc05f4c0f717fa3d3ac542c99270e3b69e28f5a6628c4d6f88cec13d81

Pith citing papers

No inbound Pith citation observations are available.