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Paper Citation Record · LEDGER

Machine Learning Left-Right Breaking from Gravitational Waves

As of 16 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 1 inbound Pith citation observation for arXiv:2506.09319.

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

pith.paper-citation-record.v1
2506.09319 v2

Coverage vector

measured 90 of 90 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:57:44.530097Z

measured 91 of 91 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:21:18.308760Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

90 of 90 outbound references displayed

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  • verified fuzzy17
  • unresolved64
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External citation measurements

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Outbound references

Observation edc252f9-b7c4-4c7a-9637-a10e485b06cf · outbound

This paper cites Witten, Cosmic separation of phases , Phys.

Machine Learning Left-Right Breaking from Gravitational Waves Witten, Cosmic separation of phases , Phys

Reference 1

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Observation dee22034-112e-4ab4-b782-caea78aa298d · outbound

This paper cites Kosowsky, M.S.

Machine Learning Left-Right Breaking from Gravitational Waves Kosowsky, M.S

Reference 2

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Observation 1282911b-92dc-4605-ac64-85f02860a00f · outbound

This paper cites Kosowsky and M.S.

Machine Learning Left-Right Breaking from Gravitational Waves Kosowsky and M.S

Reference 3

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Observation 09b9e1ab-3734-4a61-9b4f-61b6b4376abe · outbound

This paper cites Jinno and M.

Machine Learning Left-Right Breaking from Gravitational Waves Jinno and M

Reference 4

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Observation 00511e62-6a67-4afd-acc2-4624d4421cdd · outbound

This paper cites Jinno and M.

Machine Learning Left-Right Breaking from Gravitational Waves Jinno and M

Reference 5

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source=pdf_text observed=2026-08-07T04:57:44.181445Z digest=sha256:28de4d8562a9f0ccff3dc86eb598ba376332f23778c0b56e2fb6d7314f91a5d6

Observation de5c1ced-8bff-44ad-8b55-bc9f827237ed · outbound

This paper cites Hindmarsh, S.J.

Machine Learning Left-Right Breaking from Gravitational Waves Hindmarsh, S.J

Reference 6

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source=pdf_text observed=2026-08-07T04:57:44.235951Z digest=sha256:caa13e3cdcb4ba62f428c7c1f3f1febe1aa1786993d23891ded068e7cf48112a

Observation b8aa6b24-10fa-4751-8c5e-2780112dd903 · outbound

This paper cites Hindmarsh, S.J.

Machine Learning Left-Right Breaking from Gravitational Waves Hindmarsh, S.J

Reference 7

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source=pdf_text observed=2026-08-07T04:57:44.239943Z digest=sha256:9adaffca43419c71d4f273df72d5f6aa973ba8064fd09aec4d2dcefe7eb909b7

Observation 09e82d27-8831-4717-9c17-cd4e5f5ff096 · outbound

This paper cites Hindmarsh, Sound shell model for acoustic gravitational wave production at a first-order phase transition in the early universe , Physical Review Letters 120 (2018) 071301.

Machine Learning Left-Right Breaking from Gravitational Waves Hindmarsh, Sound shell model for acoustic gravitational wave production at a first-order phase transition in the early universe , Physical Review Letters 120 (2018) 071301

Reference 8

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Observation da7bf1ec-c7d6-49f0-80bd-8af6d0ee430a · outbound

This paper cites Hindmarsh, S.J.

Machine Learning Left-Right Breaking from Gravitational Waves Hindmarsh, S.J

Reference 9

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source=pdf_text observed=2026-08-07T04:57:44.247177Z digest=sha256:ef2253b47ba174932cf46dd3a5c74c9901cf1509c11177a53dca2cc0a975e5c0

Observation a4a1d059-b8ad-45d0-8c10-5e4087698e0b · outbound

This paper cites Hindmarsh and M.

Machine Learning Left-Right Breaking from Gravitational Waves Hindmarsh and M

Reference 10

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source=pdf_text observed=2026-08-07T04:57:44.250347Z digest=sha256:6a94d6d37074a5345d2a6e1296e2d153e9b9fc01f0513cd40fcf6c739308d7e3

Observation 45145ba8-5fc8-415e-afeb-9645ce349e53 · outbound

This paper cites Detection of Early-Universe Gravitational Wave Signatures and Fundamental Physics.

Machine Learning Left-Right Breaking from Gravitational Waves Detection of Early-Universe Gravitational Wave Signatures and Fundamental Physics

Reference 11

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source=pdf_text observed=2026-08-07T04:57:44.253799Z digest=sha256:4da75d0a9ea1ab463bf9db0c70a455053204ebd2a639a9972c0579d044aae91c

Observation dc37d486-33c6-4ad7-a51b-dd748715a3f7 · outbound

This paper cites Detecting gravitational waves from cosmological phase transitions with LISA: an update.

Machine Learning Left-Right Breaking from Gravitational Waves Detecting gravitational waves from cosmological phase transitions with LISA: an update

Reference 12

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source=pdf_text observed=2026-08-07T04:57:44.258168Z digest=sha256:80f35560136e1ce48d633b484a8a596c82a932b36dd32542296ca11ee28d3a9c

Observation f7939df9-099d-46f4-b306-a94cce6fe008 · outbound

This paper cites Cosmological phase transitions: from perturbative particle physics to gravitational waves.

Machine Learning Left-Right Breaking from Gravitational Waves Cosmological phase transitions: from perturbative particle physics to gravitational waves

Reference 13

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source=pdf_text observed=2026-08-07T04:57:44.261710Z digest=sha256:11983a3b4be56df9e2083e9b4559e77a067b07a1d526b71d60aed4128506ae76

Observation ad72289a-85e9-48c8-81eb-93061f8c6901 · outbound

This paper cites Laser Interferometer Space Antenna.

Machine Learning Left-Right Breaking from Gravitational Waves Laser Interferometer Space Antenna

Reference 14

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source=pdf_text observed=2026-08-07T04:57:44.265434Z digest=sha256:800297cafb376a4979fb2ac5d603f066652bab1fe6a6b7899993d036e791dda9

Observation da70f8ea-264a-4bf8-b638-5273340e5462 · outbound

This paper cites Gong, Y.-K.

Machine Learning Left-Right Breaking from Gravitational Waves Gong, Y.-K

Reference 15

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0446000e-d7fe-454c-a242-0a1abf298a44 · outbound

This paper cites Luo, L.-S.

Machine Learning Left-Right Breaking from Gravitational Waves Luo, L.-S

Reference 16

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Observation db1a4a47-fa21-4854-9ef9-6291aa2c6044 · outbound

This paper cites Corbin and N.J.

Machine Learning Left-Right Breaking from Gravitational Waves Corbin and N.J

Reference 17

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Observation b0c564f1-fd27-42f5-a099-4f74970993a7 · outbound

This paper cites SPIE Int.

Machine Learning Left-Right Breaking from Gravitational Waves SPIE Int

Reference 18

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Observation 47a74393-2606-4ec7-8b98-d11d747a2923 · outbound

This paper cites Endpoint of the hot electroweak phase transition.

Machine Learning Left-Right Breaking from Gravitational Waves Endpoint of the hot electroweak phase transition

Reference 19

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Observation 7a4e996b-c46b-4b87-a34a-c761f14b08ec · outbound

This paper cites Is There a Hot Electroweak Phase Transition at $m_H\gsim m_W$?.

Machine Learning Left-Right Breaking from Gravitational Waves Is There a Hot Electroweak Phase Transition at $m_H\gsim m_W$?

Reference 20

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source=pdf_text observed=2026-08-07T04:57:44.287215Z digest=sha256:c6bbe2321c61e29aa5dc0763f137852bdde1920ce296e208b9fc25b14e26b0b2

Observation 80f68bcb-dd11-45be-9891-ad34eb9bd7a8 · outbound

This paper cites Pati and A.

Machine Learning Left-Right Breaking from Gravitational Waves Pati and A

Reference 21

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Observation 600cc64a-16e4-4dc7-b280-5f3f55b64d84 · outbound

This paper cites Mohapatra and J.C.

Machine Learning Left-Right Breaking from Gravitational Waves Mohapatra and J.C

Reference 22

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6219f2bf-7b89-46df-b90a-001d519ce04d · outbound

This paper cites Senjanovic and R.N.

Machine Learning Left-Right Breaking from Gravitational Waves Senjanovic and R.N

Reference 23

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Observation 0576481e-832c-4df1-836a-c985444568f7 · outbound

This paper cites Theory of Neutrinos: A White Paper.

Machine Learning Left-Right Breaking from Gravitational Waves Theory of Neutrinos: A White Paper

Reference 24

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Observation 1c629929-215a-4c02-91e9-a08a1e55ade2 · outbound

This paper cites Gu, Left-right symmetric model for neutrino masses, baryon asymmetry, and dark matter, Physical Review D—Particles, Fields, Gravitation, and Cosmology 81 (2010) 095002.

Machine Learning Left-Right Breaking from Gravitational Waves Gu, Left-right symmetric model for neutrino masses, baryon asymmetry, and dark matter, Physical Review D—Particles, Fields, Gravitation, and Cosmology 81 (2010) 095002

Reference 25

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Observation ee605e43-ba32-447f-994f-3d419ae3eb5f · outbound

This paper cites Buchm¨ uller and M.

Machine Learning Left-Right Breaking from Gravitational Waves Buchm¨ uller and M

Reference 26

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:57:44.309030Z digest=sha256:a7b02d0e14ff37bee122b5795032ef52d0709552b6661d2ff09f33b4a456794f

Observation d25e25b3-d2ad-4225-ab70-d2a2b31196ae · outbound

This paper cites Probing the Higgs Sector of the Minimal Left-Right Symmetric Model at Future Hadron Colliders.

Machine Learning Left-Right Breaking from Gravitational Waves Probing the Higgs Sector of the Minimal Left-Right Symmetric Model at Future Hadron Colliders

Reference 27

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local_arxiv, observed 2026-08-07T04:57:45.245498Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:57:44.312647Z digest=sha256:c06eb4a0704e9995fd9bf21734698919d08bb29471ae7d4aa0362aabc6a1a742

Observation a4feab46-a4f7-4c6a-b4f0-27fbd075800e · outbound

This paper cites $0 \nu\, \beta \beta$ decay process in left-right symmetric models without scalar Bidoublet.

Machine Learning Left-Right Breaking from Gravitational Waves $0 \nu\, \beta \beta$ decay process in left-right symmetric models without scalar Bidoublet

Reference 28

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local_arxiv, observed 2026-08-07T04:57:45.230997Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:57:44.316346Z digest=sha256:3bd0a69364e97c7f45d75c92313ca0777e25f1d19b12045639832550218d7ffc

Observation 3c898983-7252-4995-b59e-4d0fdf4f567d · outbound

This paper cites Neutrinoless Double Beta Decay in Left-Right Symmetry with Universal Seesaw.

Machine Learning Left-Right Breaking from Gravitational Waves Neutrinoless Double Beta Decay in Left-Right Symmetry with Universal Seesaw

Reference 29

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local_arxiv, observed 2026-08-07T04:57:45.216923Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fef352f6-4311-4dab-b88c-7c85d288456b · outbound

This paper cites Left-right symmetry and electric dipole moments. A global analysis.

Machine Learning Left-Right Breaking from Gravitational Waves Left-right symmetry and electric dipole moments. A global analysis

Reference 30

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source=pdf_text observed=2026-08-07T04:57:44.323457Z digest=sha256:18f95f869d64e2091574ef09a5ae001f656972ddf9ff855107552ae044ecd989

Observation aedcea21-1788-45e9-a8a2-f6e8d23186f0 · outbound

This paper cites Constraining the gauge and scalar sectors of the doublet left-right symmetric model.

Machine Learning Left-Right Breaking from Gravitational Waves Constraining the gauge and scalar sectors of the doublet left-right symmetric model

Reference 31

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no resolver link, observed 2026-08-07T04:57:44.327370Z

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source=pdf_text observed=2026-08-07T04:57:44.327370Z digest=sha256:0c1de5e433804aad4939257939bf3d6abee913cec37ffb370d28de9c44b3c651

Observation 5217151f-5db5-48af-bedc-0f5c0455d96e · outbound

This paper cites Constraints on the Doublet Left-Right Symmetric Model from Higgs data.

Machine Learning Left-Right Breaking from Gravitational Waves Constraints on the Doublet Left-Right Symmetric Model from Higgs data

Reference 32

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source=pdf_text observed=2026-08-07T04:57:44.330979Z digest=sha256:e1b79c0ade5291e0c850b2acd64138989c836cf0b326c9ce299e08cd28ab51b2

Observation df96165e-9019-4dfc-8e10-0490d4f6686a · outbound

This paper cites Left-Right Symmetry and Lepton Number Violation at the Large Hadron Electron Collider.

Machine Learning Left-Right Breaking from Gravitational Waves Left-Right Symmetry and Lepton Number Violation at the Large Hadron Electron Collider

Reference 33

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source=pdf_text observed=2026-08-07T04:57:44.335123Z digest=sha256:bbbd2e17d3a373cf2dbe0e4037cda66e09012c250d94f52855ddf05edd35e91e

Observation ef760f32-8c56-4d81-bf2b-b61f1edf51a2 · outbound

This paper cites Gravitational Waves as a Probe of Left-Right Symmetry Breaking.

Machine Learning Left-Right Breaking from Gravitational Waves Gravitational Waves as a Probe of Left-Right Symmetry Breaking

Reference 34

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no resolver link, observed 2026-08-07T04:57:44.338403Z

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source=pdf_text observed=2026-08-07T04:57:44.338403Z digest=sha256:c8169a3a57e7e59212bff7461477414e4e4734293c400c00a504e2dad4017945

Observation a2b985d8-ad2e-4435-9bb2-8c8f16c8b49f · outbound

This paper cites Gravitational Wave imprints of the Doublet Left-Right Symmetric Model.

Machine Learning Left-Right Breaking from Gravitational Waves Gravitational Wave imprints of the Doublet Left-Right Symmetric Model

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:57:45.153653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:57:44.341753Z digest=sha256:95c97bed9851044a2a52de8883a2d798204fe41a4a401d31a36c5ee1b3961b5e

Observation d247a658-1d7f-4eb1-97c1-e9e8eae88d18 · outbound

This paper cites Prospects of gravitational waves in the minimal left-right symmetric model.

Machine Learning Left-Right Breaking from Gravitational Waves Prospects of gravitational waves in the minimal left-right symmetric model

Reference 36

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verified exact
local_arxiv, observed 2026-08-07T04:57:45.138527Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:57:44.345237Z digest=sha256:4db7a503054d9233aa90cbbd41ae2a2a3071e4e05e01eab4723d088ac0731b84

Observation 0346a98d-07bf-4344-bc0f-1e0ba0ccf719 · outbound

This paper cites Baryon asymmetry from left-right phase transition.

Machine Learning Left-Right Breaking from Gravitational Waves Baryon asymmetry from left-right phase transition

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:57:45.124139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2a4e783c-4173-4155-aff1-c645c0514832 · outbound

This paper cites How arbitrary are perturbative calculations of the electroweak phase transition?.

Machine Learning Left-Right Breaking from Gravitational Waves How arbitrary are perturbative calculations of the electroweak phase transition?

Reference 38

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Observation 0841cbdf-a96c-46cf-a5b0-b552480c64eb · outbound

This paper cites Bittar, S.

Machine Learning Left-Right Breaking from Gravitational Waves Bittar, S

Reference 39

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Observation 01aadb7a-64a4-4cfd-b997-eaba17c8bde5 · outbound

This paper cites Basics of thermal field theory -- a tutorial on perturbative computations.

Machine Learning Left-Right Breaking from Gravitational Waves Basics of thermal field theory -- a tutorial on perturbative computations

Reference 40

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Observation 6a29c839-16d9-4086-8557-fa83712c8231 · outbound

This paper cites Resummation in a Hot Scalar Field Theory.

Machine Learning Left-Right Breaking from Gravitational Waves Resummation in a Hot Scalar Field Theory

Reference 41

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source=pdf_text observed=2026-08-07T04:57:44.362048Z digest=sha256:5058ac9cd56557cd966393ccb1d7c52785cbe29cde068a25764976b3c3aac56b

Observation 11770446-5c54-4625-bec9-a581d7bd2538 · outbound

This paper cites Comments on the Electroweak Phase Transition.

Machine Learning Left-Right Breaking from Gravitational Waves Comments on the Electroweak Phase Transition

Reference 42

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source=pdf_text observed=2026-08-07T04:57:44.365381Z digest=sha256:7e8359cb39f3d6d13ec5dfb193f23d4df653fb51b6400deb1d87aabb6ba411ec

Observation ed1f995c-1653-4680-8281-f570901eeecf · outbound

This paper cites The Effective Potential and First-Order Phase Transitions: Beyond Leading Order.

Machine Learning Left-Right Breaking from Gravitational Waves The Effective Potential and First-Order Phase Transitions: Beyond Leading Order

Reference 43

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Observation 59039c3e-ea57-4fa6-9fb3-581ac181443c · outbound

This paper cites Thermodynamics of a two-step electroweak phase transition.

Machine Learning Left-Right Breaking from Gravitational Waves Thermodynamics of a two-step electroweak phase transition

Reference 44

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source=pdf_text observed=2026-08-07T04:57:44.372107Z digest=sha256:e823e6dbd7c027b507ad612f707b7958bc08f09955608b773fd6440104607303

Observation fd3be09c-3f17-4988-bbb7-b41f50224ae1 · outbound

This paper cites Theoretical uncertainties for cosmological first-order phase transitions.

Machine Learning Left-Right Breaking from Gravitational Waves Theoretical uncertainties for cosmological first-order phase transitions

Reference 45

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source=pdf_text observed=2026-08-07T04:57:44.375800Z digest=sha256:65696f11565bfb07178253de8d26dad34b6aafbef651b7328bf7de54390bd05c

Observation 169c38f0-ba36-4694-b924-7d94365514ea · outbound

This paper cites Combining thermal resummation and gauge invariance for electroweak phase transition.

Machine Learning Left-Right Breaking from Gravitational Waves Combining thermal resummation and gauge invariance for electroweak phase transition

Reference 46

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source=pdf_text observed=2026-08-07T04:57:44.379453Z digest=sha256:c85f1f13f686b55ef6fc5268090c5f326b1e2dab4f76eb95185ad1711ae50286

Observation d318b6c0-b8a2-4d28-b75f-9cd26d5f5294 · outbound

This paper cites Radiative first-order phase transitions to next-to-next-to-leading order.

Machine Learning Left-Right Breaking from Gravitational Waves Radiative first-order phase transitions to next-to-next-to-leading order

Reference 47

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source=pdf_text observed=2026-08-07T04:57:44.382953Z digest=sha256:427b48b63948d45bc8c73d4017a5a28d386ea964c7ca27ddd6fa908f09800d38

Observation 363f7ef9-fe5c-4800-9deb-afb4af3bf1ac · outbound

This paper cites Cosmological phase transitions at three loops: the final verdict on perturbation theory.

Machine Learning Left-Right Breaking from Gravitational Waves Cosmological phase transitions at three loops: the final verdict on perturbation theory

Reference 48

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source=pdf_text observed=2026-08-07T04:57:44.386573Z digest=sha256:383b11c26c141fddfaff4219d53ff44d306a64e1bc9933d866478875513aa9f4

Observation 948a59de-a8e8-48bc-874a-0731c9e88d27 · outbound

This paper cites On the validity of perturbative studies of the electroweak phase transition in the Two Higgs Doublet model.

Machine Learning Left-Right Breaking from Gravitational Waves On the validity of perturbative studies of the electroweak phase transition in the Two Higgs Doublet model

Reference 49

Resolution
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source=pdf_text observed=2026-08-07T04:57:44.390283Z digest=sha256:50fb78e87cd15d6bcaba5d4242ea67efbd7d5f6280ae02f654ae6ad54db45870

Observation bcce9c09-e513-432c-9bbb-07651feccfd8 · outbound

This paper cites Nonperturbative study of the electroweak phase transition in the real scalar singlet extended Standard Model.

Machine Learning Left-Right Breaking from Gravitational Waves Nonperturbative study of the electroweak phase transition in the real scalar singlet extended Standard Model

Reference 50

Resolution
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source=pdf_text observed=2026-08-07T04:57:44.393629Z digest=sha256:8f31a580b7d6469a852c33ce9f130513f14985c7dc0169a7f02054b16d649e4f

Observation 4a7c198c-8cd1-4794-8bc1-55eb6b344e99 · outbound

This paper cites Investigating two-loop effects for first-order electroweak phase transitions.

Machine Learning Left-Right Breaking from Gravitational Waves Investigating two-loop effects for first-order electroweak phase transitions

Reference 51

Resolution
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source=pdf_text observed=2026-08-07T04:57:44.397378Z digest=sha256:b34af5693e20f6b2d9e4e726f6938add269d88ed1634231e93f5a4cec13dfa48

Observation a4de3d6e-948b-488f-a56c-34f4efb79f69 · outbound

This paper cites Perturbative effective field theory expansions for cosmological phase transitions.

Machine Learning Left-Right Breaking from Gravitational Waves Perturbative effective field theory expansions for cosmological phase transitions

Reference 52

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source=pdf_text observed=2026-08-07T04:57:44.401478Z digest=sha256:fbc9de272bf473fdd87ef229322c801a0b2c0c2ae8b64fe0872ee6b8fa6609ba

Observation 55be02f0-c805-4e84-bfb7-941ee46ada94 · outbound

This paper cites PhaseTracer: tracing cosmological phases and calculating transition properties.

Machine Learning Left-Right Breaking from Gravitational Waves PhaseTracer: tracing cosmological phases and calculating transition properties

Reference 53

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source=pdf_text observed=2026-08-07T04:57:44.405093Z digest=sha256:d70afe6b278270bfe597493de8001db66c975681f3effc41e2fb3ceeeaa220e9

Observation cd74efdc-58d9-4c78-b7a3-86afb576131c · outbound

This paper cites PhaseTracer2: from the effective potential to gravitational waves.

Machine Learning Left-Right Breaking from Gravitational Waves PhaseTracer2: from the effective potential to gravitational waves

Reference 54

Resolution
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source=pdf_text observed=2026-08-07T04:57:44.408577Z digest=sha256:6fa7b0fbd8250d9e1fad926c3847f2b2d97751ff3267f09d45c5f767711a8897

Observation e669b6b2-832a-4182-8929-39f9fb374c6b · outbound

This paper cites DRalgo: a package for effective field theory approach for thermal phase transitions.

Machine Learning Left-Right Breaking from Gravitational Waves DRalgo: a package for effective field theory approach for thermal phase transitions

Reference 55

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source=pdf_text observed=2026-08-07T04:57:44.412009Z digest=sha256:26dfc3c1db6cd7a70fb6f70bbdb538fe1271e13738363d6a1d985d7064cc626e

Observation 1507b267-3aa0-4b81-b70e-0d90c8f9876a · outbound

This paper cites Left-Right Symmetry Breaking and Gravitational Waves : A Tale of Two Phase Transitions.

Machine Learning Left-Right Breaking from Gravitational Waves Left-Right Symmetry Breaking and Gravitational Waves : A Tale of Two Phase Transitions

Reference 56

Resolution
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source=pdf_text observed=2026-08-07T04:57:44.415449Z digest=sha256:3fe533bb413b6319ecaff0aa4f98633a4d0a94d351a8b36483e492c03b5525ca

Observation 1855a020-b35e-4c0a-902d-a3ba05a8a3eb · outbound

This paper cites Higgs Sector of the Left-Right Symmetric Theory.

Machine Learning Left-Right Breaking from Gravitational Waves Higgs Sector of the Left-Right Symmetric Theory

Reference 57

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verified exact
local_arxiv, observed 2026-08-07T04:57:44.859368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:57:44.418837Z digest=sha256:d1d9ca70c320e56954d5fd72f88bd50bb964d2fdf0c30989e2fcc74ecac6ed23

Observation 51b55b51-8131-403b-bf92-4df258eb80e6 · outbound

This paper cites Vacuum structure of the left-right symmetric model.

Machine Learning Left-Right Breaking from Gravitational Waves Vacuum structure of the left-right symmetric model

Reference 58

Resolution
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source=pdf_text observed=2026-08-07T04:57:44.422229Z digest=sha256:c4f6d84e6da82e6bd62a5c746ce04108e8348b2b025df2a3c12f1cac09fc04f9

Observation 2bc1bd9a-80af-445e-a23d-f5600ec81bf9 · outbound

This paper cites Ginsparg, First Order and Second Order Phase Transitions in Gauge Theories at Finite Temperature, Nucl.

Machine Learning Left-Right Breaking from Gravitational Waves Ginsparg, First Order and Second Order Phase Transitions in Gauge Theories at Finite Temperature, Nucl

Reference 59

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 42147c3f-9634-4ae6-9341-bfe615af6e9a · outbound

This paper cites Appelquist and R.D.

Machine Learning Left-Right Breaking from Gravitational Waves Appelquist and R.D

Reference 60

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:57:44.428786Z digest=sha256:6c88cb43df1c09beabce387bdc1f65ecd5b1ec8fa2a831173da70ec00ab093aa

Observation 38942e7c-23b8-40af-aead-2a5013fa1634 · outbound

This paper cites Nadkarni, Dimensional Reduction in Hot QCD , Phys.

Machine Learning Left-Right Breaking from Gravitational Waves Nadkarni, Dimensional Reduction in Hot QCD , Phys

Reference 61

Resolution
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:57:44.431820Z digest=sha256:fdde9fca23b35ce311a6104845da0c6e7c5592f8d56b957b906dc19dff04fbef

Observation 5deb6dd1-9d3c-4f97-9631-622958e457fa · outbound

This paper cites 3D Physics and the Electroweak Phase Transition: Perturbation Theory.

Machine Learning Left-Right Breaking from Gravitational Waves 3D Physics and the Electroweak Phase Transition: Perturbation Theory

Reference 62

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source=pdf_text observed=2026-08-07T04:57:44.435050Z digest=sha256:54e79db7f204ff41fa43787e2df0eaba9f6b925359c17a47e9a086aee7705080

Observation 2c7d3751-6ed0-47f4-8081-254377620738 · outbound

This paper cites Effective Field Theory Approach to High-Temperature Thermodynamics.

Machine Learning Left-Right Breaking from Gravitational Waves Effective Field Theory Approach to High-Temperature Thermodynamics

Reference 63

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source=pdf_text observed=2026-08-07T04:57:44.439269Z digest=sha256:cb28a636871eda34fb59415fdbe0e7d69cabaa28559a566b1a7c25d515ea3758

Observation f6b45be7-4dd5-40c7-8d24-d91ef9e633f1 · outbound

This paper cites Generic Rules for High Temperature Dimensional Reduction and Their Application to the Standard Model.

Machine Learning Left-Right Breaking from Gravitational Waves Generic Rules for High Temperature Dimensional Reduction and Their Application to the Standard Model

Reference 64

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source=pdf_text observed=2026-08-07T04:57:44.443568Z digest=sha256:e2454efc61dcd297aacd8f01fbd5abbcd1ec9f12f8e8afa4244426b8aa138f32

Observation 76703252-5750-4d24-a7b1-d4d94553faf3 · outbound

This paper cites Bubble wall dynamics at the electroweak phase transition.

Machine Learning Left-Right Breaking from Gravitational Waves Bubble wall dynamics at the electroweak phase transition

Reference 65

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source=pdf_text observed=2026-08-07T04:57:44.446893Z digest=sha256:d1101010c2cbf79a9ff6989ccacfed038a580324dae3460b7bc83bd54737edb8

Observation 4a193b42-62a5-4a12-910c-e977c65dfb9e · outbound

This paper cites Collision Integrals for Cosmological Phase Transitions.

Machine Learning Left-Right Breaking from Gravitational Waves Collision Integrals for Cosmological Phase Transitions

Reference 66

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source=pdf_text observed=2026-08-07T04:57:44.450876Z digest=sha256:0d87a5e32e78e8cbafe5eb1fb3b933ac7e853f8cd702eb6ef1b65a40c49dabd2

Observation 33a22a04-db90-4e68-9aca-61cdf26beda2 · outbound

This paper cites Non-linearities in cosmological bubble wall dynamics.

Machine Learning Left-Right Breaking from Gravitational Waves Non-linearities in cosmological bubble wall dynamics

Reference 67

Resolution
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source=pdf_text observed=2026-08-07T04:57:44.454419Z digest=sha256:4cfc01f7f88e7f6b8736ca72c247578faf8714cb7fa35d851df36efee0e12be7

Observation 801f04f7-38c8-45d1-9168-8fcc2b4f91ca · outbound

This paper cites Electroweak Phase Transition and Bubble Wall Velocity in Local Thermal Equilibrium.

Machine Learning Left-Right Breaking from Gravitational Waves Electroweak Phase Transition and Bubble Wall Velocity in Local Thermal Equilibrium

Reference 68

Resolution
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no resolver link, observed 2026-08-07T04:57:44.458144Z

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source=pdf_text observed=2026-08-07T04:57:44.458144Z digest=sha256:d40a1b5546aae359312d211fb92955d4ea8bb9aba244bc4d67ebe701789ae882

Observation 90eff233-0ebd-4490-b3ce-6a5c688c00a3 · outbound

This paper cites How fast does the WallGo? A package for computing wall velocities in first-order phase transitions.

Machine Learning Left-Right Breaking from Gravitational Waves How fast does the WallGo? A package for computing wall velocities in first-order phase transitions

Reference 69

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source=pdf_text observed=2026-08-07T04:57:44.461306Z digest=sha256:1d24e51a9095d07439e205d3b6156be83d1465ac6b37be6cd305ecd5f229a68a

Observation 76564c2a-5a46-4532-ae01-962035516c31 · outbound

This paper cites Gravitational Radiation from First-Order Phase Transitions.

Machine Learning Left-Right Breaking from Gravitational Waves Gravitational Radiation from First-Order Phase Transitions

Reference 70

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source=pdf_text observed=2026-08-07T04:57:44.464940Z digest=sha256:78f97e8749c94fdec44c3132696393516419ddb796f9f30fb977ec1319458d03

Observation 37ea1f90-f9ef-4284-ab96-ab3f98e6c8de · outbound

This paper cites Coleman, The Fate of the False Vacuum.

Machine Learning Left-Right Breaking from Gravitational Waves Coleman, The Fate of the False Vacuum

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:45.391099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:57:44.468137Z digest=sha256:114b12aac6c777c6d88a70664e3d8f612ee4c0fbd79aebf888a02bcf7b584c56

Observation 4b255c0c-375a-4f0c-8d33-24816f484d47 · outbound

This paper cites Callan, Jr.

Machine Learning Left-Right Breaking from Gravitational Waves Callan, Jr

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:45.381791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:57:44.471306Z digest=sha256:e6adee0154d16b8e1c5e4621028f38c510557d17ec49cd628744b6cb624d6772

Observation 535696e8-9a81-49d5-ba0d-854b050a844a · outbound

This paper cites Linde, Decay of the False Vacuum at Finite Temperature , Nucl.

Machine Learning Left-Right Breaking from Gravitational Waves Linde, Decay of the False Vacuum at Finite Temperature , Nucl

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:45.371716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:57:44.474861Z digest=sha256:ce1d3a0ef0b8b8fe2c014b5267fafe19895868e721b2ad661aa535540a061789

Observation 8579b6d3-09a3-4648-8e36-48b4f49f1620 · outbound

This paper cites CosmoTransitions: Computing Cosmological Phase Transition Temperatures and Bubble Profiles with Multiple Fields.

Machine Learning Left-Right Breaking from Gravitational Waves CosmoTransitions: Computing Cosmological Phase Transition Temperatures and Bubble Profiles with Multiple Fields

Reference 74

Resolution
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source=pdf_text observed=2026-08-07T04:57:44.477595Z digest=sha256:5923832163d0a439ac51ff65882baa1804a2f5b25e2d2d8a34833f0405a07934

Observation 752ac18c-315c-445c-9661-30209a30b4fc · outbound

This paper cites BubbleDet: A Python package to compute functional determinants for bubble nucleation.

Machine Learning Left-Right Breaking from Gravitational Waves BubbleDet: A Python package to compute functional determinants for bubble nucleation

Reference 75

Resolution
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source=pdf_text observed=2026-08-07T04:57:44.480717Z digest=sha256:019af3fdfbe3938e2848cd1ca43c075674ca4e7e7440777be2ead3ea14592cfc

Observation 0e9c1931-609c-4ec0-8e81-ccc29a243ef8 · outbound

This paper cites Athron, C.

Machine Learning Left-Right Breaking from Gravitational Waves Athron, C

Reference 76

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Observation 8397982d-35dc-4174-9ce3-dc3302facf7f · outbound

This paper cites New Sensitivity Curves for Gravitational-Wave Signals from Cosmological Phase Transitions.

Machine Learning Left-Right Breaking from Gravitational Waves New Sensitivity Curves for Gravitational-Wave Signals from Cosmological Phase Transitions

Reference 77

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Observation 10c25981-2a2e-434c-a903-71139f4de654 · outbound

This paper cites Beyond LISA: Exploring Future Gravitational Wave Missions.

Machine Learning Left-Right Breaking from Gravitational Waves Beyond LISA: Exploring Future Gravitational Wave Missions

Reference 78

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Observation 062dc693-947d-4e3f-b747-e6667847fcbc · outbound

This paper cites Sensitivity curves for searches for gravitational-wave backgrounds.

Machine Learning Left-Right Breaking from Gravitational Waves Sensitivity curves for searches for gravitational-wave backgrounds

Reference 79

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Observation 439e5417-ec1a-4e76-a27a-f3d25756bbd4 · outbound

This paper cites Peskin and D.V.

Machine Learning Left-Right Breaking from Gravitational Waves Peskin and D.V

Reference 80

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Observation e12f27d0-094f-4b3a-a777-732086f5968c · outbound

This paper cites Copositive Criteria and Boundedness of the Scalar Potential.

Machine Learning Left-Right Breaking from Gravitational Waves Copositive Criteria and Boundedness of the Scalar Potential

Reference 81

Resolution
unresolved
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Observation 5bf3838c-4aae-4f5a-aa04-98d3d8bf1fee · outbound

This paper cites Constraining a class of B-L extended models from vacuum stability and perturbativity.

Machine Learning Left-Right Breaking from Gravitational Waves Constraining a class of B-L extended models from vacuum stability and perturbativity

Reference 82

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Observation 026f3ece-1b8e-4450-870b-9419173a1064 · outbound

This paper cites Theoretical constraints on masses of heavy particles in Left-Right Symmetric Models.

Machine Learning Left-Right Breaking from Gravitational Waves Theoretical constraints on masses of heavy particles in Left-Right Symmetric Models

Reference 83

Resolution
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Observation 89921df6-41c6-44b3-9b7e-2ac5313ca763 · outbound

This paper cites Perturbativity constraints on $U(1)_{B-L}$ and left-right models and implications for heavy gauge boson searches.

Machine Learning Left-Right Breaking from Gravitational Waves Perturbativity constraints on $U(1)_{B-L}$ and left-right models and implications for heavy gauge boson searches

Reference 84

Resolution
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1f586ed9-44b7-45bc-8627-eb959054651a · outbound

This paper cites Rothstein, Renormalization group analysis of the minimal left-right symmetric model , Nucl.

Machine Learning Left-Right Breaking from Gravitational Waves Rothstein, Renormalization group analysis of the minimal left-right symmetric model , Nucl

Reference 85

Resolution
verified fuzzy
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Observation 09b8a602-09b7-48fa-8153-1abba74dac60 · outbound

This paper cites Exploring supersymmetry with machine learning.

Machine Learning Left-Right Breaking from Gravitational Waves Exploring supersymmetry with machine learning

Reference 86

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unresolved
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Observation 0ca0fe2a-cf1a-4ab4-9b55-4e2945c4702f · outbound

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Machine Learning Left-Right Breaking from Gravitational Waves Unresolved cited work

Reference 87

Resolution
unresolved
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d10285de-f89e-4bce-be34-ab172f1306ce · outbound

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Machine Learning Left-Right Breaking from Gravitational Waves Unresolved cited work

Reference 88

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 668f11e1-deee-40de-ae0d-87b363d78394 · outbound

This paper cites Under these conditions, Eq.(A.8) implies sin(θ2) = sin(2θ2) = 0, from which we conclude θ2 = 0.

Machine Learning Left-Right Breaking from Gravitational Waves Under these conditions, Eq.(A.8) implies sin(θ2) = sin(2θ2) = 0, from which we conclude θ2 = 0

Reference 89

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a8060c40-a2f4-4840-b01f-465805434c27 · outbound

This paper cites an unresolved cited work.

Machine Learning Left-Right Breaking from Gravitational Waves Unresolved cited work

Reference 90

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Pith citing papers

Observation 2a2b6d47-9ea4-4e87-980b-2dfa5a97aa2a · inbound

Loop-Level Lepton Flavor Violation and Diphoton Signals in the Minimal Left-Right Symmetric Model cites this paper.

Loop-Level Lepton Flavor Violation and Diphoton Signals in the Minimal Left-Right Symmetric Model Machine Learning Left-Right Breaking from Gravitational Waves

Reference 39

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