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Paper Citation Record · LEDGER

Segmenting proto-halos with vision transformers

As of 13 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:2508.00049.

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pith.paper-citation-record.v1
2508.00049 v2

Coverage vector

measured 70 of 70 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

70 of 70 outbound references displayed

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External citation measurements

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Outbound references

Observation cc6c0f6c-208e-4ffe-bc40-d86bedf00b39 · outbound

This paper cites White and M.J.

Segmenting proto-halos with vision transformers White and M.J

Reference 1

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Observation 5918f86c-6974-4304-a45e-f9be14cddce3 · outbound

This paper cites Testing Tidal-Torque Theory: I. Spin Amplitude and Direction.

Segmenting proto-halos with vision transformers Testing Tidal-Torque Theory: I. Spin Amplitude and Direction

Reference 2

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Observation de275c87-9c55-4983-be78-126c67f0629b · outbound

This paper cites Testing Tidal-Torque Theory: II. Alignment of Inertia and Shear and the Characteristics of Proto-haloes.

Segmenting proto-halos with vision transformers Testing Tidal-Torque Theory: II. Alignment of Inertia and Shear and the Characteristics of Proto-haloes

Reference 3

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Observation 4114e716-2c3f-4dd5-9e20-c61840b68cf9 · outbound

This paper cites Cosmic Shear from Galaxy Spins.

Segmenting proto-halos with vision transformers Cosmic Shear from Galaxy Spins

Reference 4

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Observation 86ac09c5-c186-483b-a692-e43f4690ca92 · outbound

This paper cites The Peaks Formalism and the Formation of Cold Dark Matter Haloes.

Segmenting proto-halos with vision transformers The Peaks Formalism and the Formation of Cold Dark Matter Haloes

Reference 5

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Observation e107caf2-d11c-41ee-baae-11f73b4491e1 · outbound

This paper cites Ellipsoidal halo finders and implications for models of triaxial halo formation.

Segmenting proto-halos with vision transformers Ellipsoidal halo finders and implications for models of triaxial halo formation

Reference 6

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Observation b039ef3e-2657-4a70-a267-d7458495edb4 · outbound

This paper cites Ludlow, M.

Segmenting proto-halos with vision transformers Ludlow, M

Reference 7

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Observation cfa288de-4dd4-43ec-9901-6c5d047063a4 · outbound

This paper cites The formation of CDM haloes II: collapse time and tides.

Segmenting proto-halos with vision transformers The formation of CDM haloes II: collapse time and tides

Reference 8

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Observation a3281d6c-cb12-4892-a5b2-f21a19ed2eb3 · outbound

This paper cites Katz and S.D.M.

Segmenting proto-halos with vision transformers Katz and S.D.M

Reference 9

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Observation 0f7a1119-d175-423e-87bd-f56ce94617cd · outbound

This paper cites Multiscale Gaussian Random Fields for Cosmological Simulations.

Segmenting proto-halos with vision transformers Multiscale Gaussian Random Fields for Cosmological Simulations

Reference 10

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Observation f3e26af6-a9d6-41b7-8b09-8284572c3458 · outbound

This paper cites Multi-scale initial conditions for cosmological simulations.

Segmenting proto-halos with vision transformers Multi-scale initial conditions for cosmological simulations

Reference 11

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Observation 761be72c-3768-4e5f-aef2-14e8b31e6468 · outbound

This paper cites Kaiser,On the spatial correlations of Abell clusters., The Astrophysical Journal Letters284 (1984) L9.

Segmenting proto-halos with vision transformers Kaiser,On the spatial correlations of Abell clusters., The Astrophysical Journal Letters284 (1984) L9

Reference 12

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Observation 9cea943b-460b-41fa-8c18-21801fec2874 · outbound

This paper cites Two Ways of Biasing Galaxy Formation.

Segmenting proto-halos with vision transformers Two Ways of Biasing Galaxy Formation

Reference 13

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Observation f74e6a94-0a1b-4319-a122-a6d23e365cc0 · outbound

This paper cites Nonlinear perturbation theory with halo bias and redshift-space distortions via the Lagrangian picture.

Segmenting proto-halos with vision transformers Nonlinear perturbation theory with halo bias and redshift-space distortions via the Lagrangian picture

Reference 14

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Observation d436e145-30d0-49c6-bdbe-c48638653675 · outbound

This paper cites The Gaussian streaming model and Lagrangian effective field theory.

Segmenting proto-halos with vision transformers The Gaussian streaming model and Lagrangian effective field theory

Reference 15

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Observation 84255acd-f50b-41eb-beec-398828be6d12 · outbound

This paper cites Halo bias in Lagrangian Space: Estimators and theoretical predictions.

Segmenting proto-halos with vision transformers Halo bias in Lagrangian Space: Estimators and theoretical predictions

Reference 16

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Observation c4b9d019-ffa9-427a-adad-78d20c2a068b · outbound

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Segmenting proto-halos with vision transformers Priors on Lagrangian bias parameters from galaxy formation modelling

Reference 17

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Observation 9ef931a1-9ec3-4d1c-86b3-523c640239c6 · outbound

This paper cites Bond and S.T.

Segmenting proto-halos with vision transformers Bond and S.T

Reference 18

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Observation f69ac576-10b9-41ed-a9a1-6de7bae7aa76 · outbound

This paper cites Approximate methods for the generation of dark matter halo catalogs in the age of precision cosmology.

Segmenting proto-halos with vision transformers Approximate methods for the generation of dark matter halo catalogs in the age of precision cosmology

Reference 19

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Segmenting proto-halos with vision transformers Gunn and J.R

Reference 20

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Observation a313674c-4373-4581-a708-3d9138663e98 · outbound

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Segmenting proto-halos with vision transformers Bardeen, J.R

Reference 21

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Segmenting proto-halos with vision transformers The locations of halo formation and the peaks formalism

Reference 22

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Segmenting proto-halos with vision transformers Press and P

Reference 23

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Segmenting proto-halos with vision transformers Unresolved cited work

Reference 24

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This paper cites The Excursion Set Theory of Halo Mass Functions, Halo Clustering, and Halo Growth.

Segmenting proto-halos with vision transformers The Excursion Set Theory of Halo Mass Functions, Halo Clustering, and Halo Growth

Reference 25

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Observation 61e453fc-18fb-4252-b296-39f618896c2d · outbound

This paper cites Ellipsoidal collapse and an improved model for the number and spatial distribution of dark matter haloes.

Segmenting proto-halos with vision transformers Ellipsoidal collapse and an improved model for the number and spatial distribution of dark matter haloes

Reference 26

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Segmenting proto-halos with vision transformers Borzyszkowski, C

Reference 27

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This paper cites The Halo Mass Function from Excursion Set Theory. II. The Diffusing Barrier.

Segmenting proto-halos with vision transformers The Halo Mass Function from Excursion Set Theory. II. The Diffusing Barrier

Reference 28

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Observation 62a27bae-a43d-40c3-915c-98e36fdf4ebf · outbound

This paper cites Collapse Barriers and Halo Abundance: Testing the Excursion Set Ansatz.

Segmenting proto-halos with vision transformers Collapse Barriers and Halo Abundance: Testing the Excursion Set Ansatz

Reference 29

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Observation 1e67e9d0-87a7-4762-972c-dfda54c2810a · outbound

This paper cites The spatial and velocity bias of linear density peaks and proto-haloes in the Lambda cold dark matter cosmology.

Segmenting proto-halos with vision transformers The spatial and velocity bias of linear density peaks and proto-haloes in the Lambda cold dark matter cosmology

Reference 30

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Observation 81e16d40-5fc6-4d58-a083-3c59744dea18 · outbound

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Segmenting proto-halos with vision transformers Formation and Evolution of Galaxies: Les Houches Lectures

Reference 31

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This paper cites Peaks theory and the excursion set approach.

Segmenting proto-halos with vision transformers Peaks theory and the excursion set approach

Reference 32

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Observation 679dc17d-254c-4949-88ae-01bb7e5e5ebc · outbound

This paper cites Culminating the peak CUSP to descry the dark side of halos.

Segmenting proto-halos with vision transformers Culminating the peak CUSP to descry the dark side of halos

Reference 33

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arxiv_id, observed 2026-05-19T01:46:57.830891Z

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Observation 27eb86e8-25f5-42a3-b8b3-f2798a878260 · outbound

This paper cites Excursion set peaks in energy as a model for haloes.

Segmenting proto-halos with vision transformers Excursion set peaks in energy as a model for haloes

Reference 34

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Observation dd9c109c-0787-433c-afff-17c013c9bcd5 · outbound

This paper cites The mass-Peak Patch algorithm for fast generation of deep all-sky dark matter halo catalogues and its N-Body validation.

Segmenting proto-halos with vision transformers The mass-Peak Patch algorithm for fast generation of deep all-sky dark matter halo catalogues and its N-Body validation

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 56cd029e-08ab-4304-a76b-eb2c6c6e1389 · outbound

This paper cites Monaco, T.

Segmenting proto-halos with vision transformers Monaco, T

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 59e444c5-4fc0-4b61-b2ee-cc00b31652d3 · outbound

This paper cites Monaco, T.

Segmenting proto-halos with vision transformers Monaco, T

Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e7aa56a5-5baa-40da-bbf6-8d37ea046ba7 · outbound

This paper cites Machine learning cosmological structure formation.

Segmenting proto-halos with vision transformers Machine learning cosmological structure formation

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-19T01:46:57.905918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation f721b305-deb8-4b85-bf76-4e87e5fa2605 · outbound

This paper cites Breiman,Random forests, Machine Learning 45 (2001) 5.

Segmenting proto-halos with vision transformers Breiman,Random forests, Machine Learning 45 (2001) 5

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:46:58.138019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation f9100fea-f2b0-44d8-aa5b-502759d8c786 · outbound

This paper cites Classification algorithms applied to structure formation simulations.

Segmenting proto-halos with vision transformers Classification algorithms applied to structure formation simulations

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:46:57.840880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T01:43:50.077818Z digest=sha256:74880e3de4300f8e8174a2fb02394c9f03d8c4a968c972adbc1fddb9445ba147

Observation 0740f9fe-c957-4a32-9218-d4073b3ed842 · outbound

This paper cites Machine Learning and Structure Formation in Modified Gravity.

Segmenting proto-halos with vision transformers Machine Learning and Structure Formation in Modified Gravity

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:46:57.958301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 181ea4e7-d25b-467f-9c5f-d6adc08f227a · outbound

This paper cites Freund and R.E.

Segmenting proto-halos with vision transformers Freund and R.E

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:46:58.172479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T01:43:50.077818Z digest=sha256:f53093d82d74e2c007d5f592cda3daf5bf24c1c6fdce5247da018c90b5801273

Observation a13f5926-5757-436c-bdd8-3fbc0437c713 · outbound

This paper cites Friedman,Greedy function approximation: A gradient boosting machine., The Annals of Statistics 29 (2001) 1189.

Segmenting proto-halos with vision transformers Friedman,Greedy function approximation: A gradient boosting machine., The Annals of Statistics 29 (2001) 1189

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:46:58.262714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T01:43:50.077818Z digest=sha256:1075080d33c2fa5b5fc004e9666dc795f25784a0c16162ca622370c6f9452197

Observation d7241a39-4dd3-43f6-b131-28431be7b080 · outbound

This paper cites Friedman,Stochastic gradient boosting, Computational Statistics & Data Analysis38 (2002) 367.

Segmenting proto-halos with vision transformers Friedman,Stochastic gradient boosting, Computational Statistics & Data Analysis38 (2002) 367

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:46:58.270340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T01:43:50.077818Z digest=sha256:4b6cd8742eb3687b6e77f8cfa4e00e104545afe5bd994cb4edc7d91d8a0f13c1

Observation e3446f8f-e2ea-40a3-8bc2-a90466a6cd20 · outbound

This paper cites An interpretable machine learning framework for dark matter halo formation.

Segmenting proto-halos with vision transformers An interpretable machine learning framework for dark matter halo formation

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:46:58.007779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 755f3d9a-abfa-4b6e-8089-17a398a7de16 · outbound

This paper cites Lecun, L.

Segmenting proto-halos with vision transformers Lecun, L

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:46:58.156032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T01:43:50.077818Z digest=sha256:79aca168e3be524100327f6efe4d5455198cc875e9591703b08beaffce645568

Observation 091f5df2-279f-4b30-8f5e-c00fd374fdfc · outbound

This paper cites A volumetric deep Convolutional Neural Network for simulation of mock dark matter halo catalogues.

Segmenting proto-halos with vision transformers A volumetric deep Convolutional Neural Network for simulation of mock dark matter halo catalogues

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-05-19T01:46:58.028734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 79f96e59-27da-4dd0-b8ce-1f18449b311f · outbound

This paper cites Predicting dark matter halo formation in N-body simulations with deep regression networks.

Segmenting proto-halos with vision transformers Predicting dark matter halo formation in N-body simulations with deep regression networks

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:46:57.918854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T01:43:50.077818Z digest=sha256:e9282f7b9628b616b00556ece16ed9ecfae9e5eeddcac6ed7a9aedafd820c1e5

Observation c09cec0c-72e5-4806-9c73-14a5b8bddb8e · outbound

This paper cites Lucie-Smith, H.V.

Segmenting proto-halos with vision transformers Lucie-Smith, H.V

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:46:58.230156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 1aeb7a14-aa9f-4ec4-91a4-0173a54db676 · outbound

This paper cites Characterizing Structure Formation through Instance Segmentation.

Segmenting proto-halos with vision transformers Characterizing Structure Formation through Instance Segmentation

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:46:57.872480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 780b6e17-004f-403b-832c-6b54005249b8 · outbound

This paper cites Milletari, N.

Segmenting proto-halos with vision transformers Milletari, N

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:46:58.188157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 79d93a72-d676-44dd-895d-c8bd100954bb · outbound

This paper cites Halo assembly bias from a deep learning model of halo formation.

Segmenting proto-halos with vision transformers Halo assembly bias from a deep learning model of halo formation

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:46:57.935273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 941f6577-7c50-4472-80ad-0329c1401ef0 · outbound

This paper cites Vaswani, N.

Segmenting proto-halos with vision transformers Vaswani, N

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:46:58.199160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 8187d517-3d1a-49f3-a4bf-24d5be4bdef1 · outbound

This paper cites Hatamizadeh, Y.

Segmenting proto-halos with vision transformers Hatamizadeh, Y

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:46:58.266205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a2cb1015-5f32-486f-bf11-b93a5cd02ad7 · outbound

This paper cites Springel,The cosmological simulation code GADGET-2, Monthly Notices of the Royal Astronomical Society 364 (2005) 1105.

Segmenting proto-halos with vision transformers Springel,The cosmological simulation code GADGET-2, Monthly Notices of the Royal Astronomical Society 364 (2005) 1105

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:46:58.225055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 609f979d-c17d-44b6-bf9e-b8cfd436b0f7 · outbound

This paper cites Planck 2018 results. VI. Cosmological parameters.

Segmenting proto-halos with vision transformers Planck 2018 results. VI. Cosmological parameters

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-05-19T01:46:57.953974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 100275c4-5fc7-41f2-9dd4-7030fdd7cb22 · outbound

This paper cites Hahn and T.

Segmenting proto-halos with vision transformers Hahn and T

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:46:58.195655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 48cdecca-fea9-4833-b22f-f24d7215182c · outbound

This paper cites Knollmann and A.

Segmenting proto-halos with vision transformers Knollmann and A

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:46:58.160165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation bfbfae2c-e53b-43fc-b9fa-41178eb3be98 · outbound

This paper cites an unresolved cited work.

Segmenting proto-halos with vision transformers Unresolved cited work

Reference 59

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 09f556d9-0f91-4740-9882-abc44aa264bf · outbound

This paper cites Ulyanov, A.

Segmenting proto-halos with vision transformers Ulyanov, A

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:46:58.176053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T01:43:50.077818Z digest=sha256:6c505007aa6cc539c772c88f8fce8ca70feab6215d5b966c5223e7ccf61341aa

Observation 85488afd-ab64-4f3b-b313-506a452ae539 · outbound

This paper cites Nair and G.E.

Segmenting proto-halos with vision transformers Nair and G.E

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:46:58.130571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T01:43:50.077818Z digest=sha256:68e60558884b63c8c6e736c4f3cac30c00ea303715c6edc5d811701559aba28d

Observation d02891bc-e1c8-4f65-88a0-401507eabe78 · outbound

This paper cites an unresolved cited work.

Segmenting proto-halos with vision transformers Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-05-19T01:46:58.168577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation fe8fbac9-f22d-414c-bfb5-03933e2d8bc4 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Segmenting proto-halos with vision transformers Gaussian Error Linear Units (GELUs)

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-05-19T01:46:58.012709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T01:43:50.077818Z digest=sha256:abf3b03588fbb81a7f8182aac1d648800b5e19f2ee331dc481e2c5869aafbd3b

Observation 6e690f8c-39e5-421a-8aac-8bf0aba07de7 · outbound

This paper cites an unresolved cited work.

Segmenting proto-halos with vision transformers Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-05-19T01:46:58.248086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation f82ccbfd-1a45-4abf-be6f-f3c960413cc9 · outbound

This paper cites Jadon,A survey of loss functions for semantic segmentation, in2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), pp.

Segmenting proto-halos with vision transformers Jadon,A survey of loss functions for semantic segmentation, in2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), pp

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:46:58.180442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 12b0703e-42d0-43c5-b084-6057a7a97404 · outbound

This paper cites Sudre, W.

Segmenting proto-halos with vision transformers Sudre, W

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:46:58.239016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T01:43:50.077818Z digest=sha256:0eca11c67acfb5c78a53cce1b3ae7d6376fa40029490d2ecebce2478b4b09d1c

Observation c89500ae-c27d-4d29-bed3-a8cac97432b3 · outbound

This paper cites Kingma and J.

Segmenting proto-halos with vision transformers Kingma and J

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:46:58.123060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 57c5d382-5275-49c8-8d1a-e1af9b47e725 · outbound

This paper cites Loshchilov and F.

Segmenting proto-halos with vision transformers Loshchilov and F

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:46:58.251753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T01:43:50.077818Z digest=sha256:2954897f96ff02a3484e5b16ad45ab8480972ea044649a121550d9c3f42407d3

Observation 3bee1108-a1d8-4eec-8875-9dbc1bb95465 · outbound

This paper cites Selvaraju, M.

Segmenting proto-halos with vision transformers Selvaraju, M

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:46:58.204517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 6ad31d72-c53a-497c-b76b-0c1839f45cdc · outbound

This paper cites Tenachi, R.

Segmenting proto-halos with vision transformers Tenachi, R

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:46:58.184156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Pith citing papers

No inbound Pith citation observations are available.