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Paper Citation Record · LEDGER

Machine Learning Left-Right Breaking from Gravitational Waves

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:5d49dc27dcdef28d14fafe94ca4b6a95e0453cfd1c9906caf8b93513b5127e32

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=sha256:14810d67380ee53beb4183d2d5a9e366860c8544e315a8ecc8b0e53545703a1a

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=sha256:321cc458bfbc53ea56fea08a0687901ae53d2e5dc07004d15314ea02cf743c49

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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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:ebbb77350d8f22d601e71aaf41082b394c15ecaa68c499fc7c8ec9f33d3c491a

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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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=sha256:8ed6b27e21e633fededc6a59973b0e8a33d44ec0841efafb629862de5e5044bf

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=sha256:96e323511aff81a691cc148471076e16a278f401c1656031172cd2f801bf7fd3

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=sha256:140c131a34f6564b7eb7808a50ad7b166049c2e2ea126af1efeeb8e116c34879

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 2026-08-07T06:34:17.273281+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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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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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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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:57:44.312647Z digest=sha256:35c1126a05b66ad522f278a2e78be9024b0397412875f5fc231c288f4e769e4e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:57:44.316346Z digest=sha256:b2522c35985476aed1b29fb21064647b9539c24d480487af096275bbdd623259

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 2026-08-07T06:34:17.273281+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:a47b11aa44424eaf15d0ed54bb2d0365971410777702af96614f170bedb834fe

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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source=pdf_text observed=2026-08-07T04:57:44.327370Z digest=sha256:7834fc1717ba0d14a1fcc2124b84be3ced7dc9c36866c4ff0160b14ad76b2498

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:fa54ca0339f229130a122fa6293fbcda62dd41f8e9fccbb4b9205dfca77b0b8e

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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no resolver link, observed 2026-08-07T04:57:44.335123Z

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source=pdf_text observed=2026-08-07T04:57:44.335123Z digest=sha256:8d931e4163bd9b0f6a07c909c96a9c3327fd6773998e0fe8c3a3ae12fa276e8d

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:e2c252795c135dcaba575cca4206abfd7e7aef8f7aadd60801a1516a46d42f7f

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

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

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

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

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

source=pdf_text observed=2026-08-07T04:57:44.345237Z digest=sha256:d33008e9f4aecb6ff72de58c21f19ed8dbb165c5d0aabb6c72037b0dff11b2f3

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

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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 2026-08-07T06:34:17.273281+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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source=pdf_text observed=2026-08-07T04:57:44.358477Z digest=sha256:7c28cd3be6c52d1d9d82b5f77b7fbb45143cc5a1be6480cc7628747eb7904035

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=sha256:49702ae37d29b788d2d223e4dc2ec55df66e05a4fb3dc348c3afff3c1271c84e

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=sha256:0cb64c62cc26ee1dd19c9a5247957139c9bed04d2670ae31bc6e7d5c1a07eadb

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:ba225b21f8dac3c8d0510c3b6bae0aeffa4deaf27f788dbcd1fa163fc188a7c6

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=sha256:3b1352d8745f51f3afc2320d8be459b8c745d189c7340a0bd4a907fcabaf4466

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:dbb753e1bdbaaffc83f937391b408310cda4efbb787fc1fef94c92b9b315a415

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=sha256:385fc7bdf5421ba23cb89659853a050bfc2ae3ceffcb6f2159d95b827d415eb7

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:f67e654966bc7e09ac32668bd25d60cf5b8b8a6a6729e261dae02bb2d528f1b6

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

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source=pdf_text observed=2026-08-07T04:57:44.390283Z digest=sha256:13018e34cce28a6058c4cbb458d9f7a5a471f6d81ea88612ec1222f7996811ca

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=sha256:5dd4c6a52117ef029d3c79ae7104c50c12bac9dae99a7b11440f340ef85fd9e8

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

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source=pdf_text observed=2026-08-07T04:57:44.397378Z digest=sha256:fe57cb1506dd5f526b20602f5f2a25b82c179673770fdd33286eaf29c89fa0fb

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:fc3570a437321ea2815acce1c4838cd88663077b6bacf3129f43c0ee97ca4afe

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=sha256:2283b2d05fbae6cf00c1802456b26854b55af37d6f8e33ae3461cf95f110d1b7

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=sha256:84f121b5056dae57717a47e775e65a28f05a932800ffb23a6f1c362b63aa8bf8

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

Resolution
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source=pdf_text observed=2026-08-07T04:57:44.412009Z digest=sha256:c1e8aba1e5c15d50232c13244190017a105d3fef332c5a2119ea6cc7934ce5e9

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=sha256:66069643ad3333297bbbd6493a93317e0c0742d6fd7fad057c93323c8f59a6d0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:57:44.418837Z digest=sha256:414d2736e1680ca60faf7d141a151cde1aabc7a05eb7e85a1357faf0d48a266b

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:a29db5c27d020dc28cc8191352abb0ade9f1855e992f00f5f1979813e89a80c8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:57:44.425377Z digest=sha256:455e4384c7aaea0fbe92226a9bb1067b775e73d5a5cc08d5702d8e8aa128cffa

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:57:44.428786Z digest=sha256:3cb79ab6900ecd496ccf833743a323a6f0e202399bb3b54383bf6a7b01d07d84

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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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:57:44.431820Z digest=sha256:0e011629c46305e7e0bb64b0ba8c5981ee36cd23cf75f8946cd30ff50cf57ffd

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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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=sha256:7e1c53de5ec84aa0f9b4237c7775afc4a65377fe634067c07e925eb48363afe5

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=sha256:0e9ede20d956410a79690f1986bc86db5660bf3bc71deae9cdfeb87af24d0bf9

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=sha256:6c24ebb1b1a077d83f585e799542d615c90559ee1e9079ee9651647a513ab71f

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

Resolution
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source=pdf_text observed=2026-08-07T04:57:44.450876Z digest=sha256:69d080d315883dfa4303143ce7cd68c4ecbfc4ae33d69aad8bcc20ee11a8963a

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=sha256:2d1604a409973d6b01edab4a80ffc0c6319cad1aedb35ba5b460154d4452ef3d

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=sha256:142194d1092119295447b7677dde0b029a00b99ef406bcffb82ea1bfdf4c3553

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:e1bb84c0f518bbc72169c152142dc2ef69d4e0767a007bde813ca18bc9f6a6f3

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=sha256:693658541514fcfb26cafba9bc2b54d184678a9e717d38353c61065fb61c5162

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:57:44.468137Z digest=sha256:654829f34ceec7170a863abfcc39c3fc254734f919f53691837b44eee8c618a8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:57:44.471306Z digest=sha256:f83a60b73b9841a99d762e3b8b26b3884f7797dbc2c543fd471ef36dbb462346

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:57:44.474861Z digest=sha256:e4d1fe54a71731bd318850132793bde60b9f7d30710b370568af9c1d8ddd6fd3

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:f5f4bb24c8004fce1940a20ff8871ed29c2015a1711508877ee7d6fa72b912fe

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=sha256:74c3ff3453b1e9eeb69c0d6d2ee601e942571dc2b28aa6aaec33bdd2e961c0a9

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

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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

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

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

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

Reference 87

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

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

This paper cites an unresolved cited work.

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