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Paper Citation Record · LEDGER

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery

As of 20 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2605.21594.

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

pith.paper-citation-record.v1
2605.21594 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T08:59:27.333285Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:58:17.429029Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T21:58:17.572945Z

Reference resolution

64 of 64 outbound references displayed

  • verified exact53
  • verified fuzzy10
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c423c70a-d82c-4e7a-b0b9-7bad4fff629a · outbound

This paper cites Dark Matter.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Dark Matter

Reference 1

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local_arxiv, observed 2026-05-22T09:01:19.825172Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a35ea40f-f7bf-4448-bb6f-45f68cbd5e01 · outbound

This paper cites Baryogenesis from the weak scale to the grand unification scale.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Baryogenesis from the weak scale to the grand unification scale

Reference 2

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arxiv_id, observed 2026-05-22T09:01:19.836476Z

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Observation b37eb85a-db69-4b87-9e19-4a300d155ff4 · outbound

This paper cites Neutrino Mass Models.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Neutrino Mass Models

Reference 3

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local_arxiv, observed 2026-05-22T09:01:19.830736Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 28894661-0326-42a3-9c51-93c723641591 · outbound

This paper cites Naturalness: A Snowmass White Paper.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Naturalness: A Snowmass White Paper

Reference 4

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arxiv_id, observed 2026-05-22T09:01:19.820148Z

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Observation 7f9eab2f-e9f6-42c0-8759-7ec682c3af72 · outbound

This paper cites Higgs Physics at the HL-LHC and HE-LHC.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Higgs Physics at the HL-LHC and HE-LHC

Reference 5

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local_arxiv, observed 2026-05-22T09:01:19.733745Z

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Observation 66204531-003d-4145-8508-17da81f59dbf · outbound

This paper cites Standard Model Physics at the HL-LHC and HE-LHC.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Standard Model Physics at the HL-LHC and HE-LHC

Reference 6

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arxiv_id, observed 2026-05-22T09:01:19.587741Z

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Observation 555ec0e1-32e5-49af-b2d0-410409d1a915 · outbound

This paper cites The Standard Model effective field theory at work.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery The Standard Model effective field theory at work

Reference 7

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arxiv_id, observed 2026-05-22T09:01:19.667491Z

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Observation d8a6e8aa-9e08-485a-ab44-af3434568a3e · outbound

This paper cites Dimension-Six Terms in the Standard Model Lagrangian.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Dimension-Six Terms in the Standard Model Lagrangian

Reference 8

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local_arxiv, observed 2026-05-22T09:01:19.715551Z

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Observation 3ba64a4a-0c59-43f8-9f9b-3b34543b7262 · outbound

This paper cites Dimension-8 Operators in the Standard Model Effective Field Theory.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Dimension-8 Operators in the Standard Model Effective Field Theory

Reference 9

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arxiv_id, observed 2026-05-22T09:01:19.693126Z

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Observation a869e9d7-a506-4138-9686-06d34ca9c00e · outbound

This paper cites Exploring the SMEFT at dimension-8 with Drell-Yan transverse momentum measurements.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Exploring the SMEFT at dimension-8 with Drell-Yan transverse momentum measurements

Reference 10

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arxiv_id, observed 2026-05-22T09:01:19.767630Z

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Observation b3592278-2248-4b40-96f4-d5ef308ff632 · outbound

This paper cites The Impact of Dimension-8 SMEFT Contributions: A Case Study.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery The Impact of Dimension-8 SMEFT Contributions: A Case Study

Reference 11

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arxiv_id, observed 2026-05-22T09:01:19.567754Z

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Observation b77fb4f2-53a0-472a-88af-cdc1fa6ca33e · outbound

This paper cites Impact of dimension-eight SMEFT operators in the EWPO and Triple Gauge Couplings analysis in Universal SMEFT.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Impact of dimension-eight SMEFT operators in the EWPO and Triple Gauge Couplings analysis in Universal SMEFT

Reference 12

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arxiv_id, observed 2026-05-22T09:01:19.593428Z

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source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:7364c6beb261ff707dd096d94f28bfb3a040d93ead64623ebb021730ddea2487

Observation 695743ec-f556-4740-8a64-ab472cbf13c5 · outbound

This paper cites de Blas, D.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery de Blas, D

Reference 13

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raw_fallback, observed 2026-05-22T09:01:21.031446Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c92ad95e-cfb6-4df4-beea-132e13fbf025 · outbound

This paper cites Brivio, S.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Brivio, S

Reference 14

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raw_fallback, observed 2026-05-22T09:01:21.012034Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:4a85c17448528c562f0cc5a0e507f80252474e45a7e565fafd2081df93670367

Observation e56b086c-1a67-4917-86d1-acae21457a38 · outbound

This paper cites Ellis, M.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Ellis, M

Reference 15

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raw_fallback, observed 2026-05-22T09:01:21.007933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 28350b45-07e0-4675-b668-723948c4d8d2 · outbound

This paper cites Constraining the top-Higgs sector of the Standard Model Effective Field Theory.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Constraining the top-Higgs sector of the Standard Model Effective Field Theory

Reference 16

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local_arxiv, observed 2026-05-22T09:01:19.523246Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:d06ed20468f44b393eaab265f7e8367177c81f0c51a9cc8f5ebe72347d5c1a7c

Observation 7a7347d4-ff12-45aa-a1cf-d718d61cc812 · outbound

This paper cites Anomalies in global SMEFT analyses: a case study of first-row CKM unitarity.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Anomalies in global SMEFT analyses: a case study of first-row CKM unitarity

Reference 17

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arxiv_id, observed 2026-05-22T09:01:19.798004Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:cd0adf73c9f71a7c6e61801ad4bbb34de5e2ccfb9f87f89e393baacf07c4837e

Observation 6d6343e7-fad2-4ff9-84c5-8c05c8bb8d82 · outbound

This paper cites Indirect constraints on top quark operators from a global SMEFT analysis.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Indirect constraints on top quark operators from a global SMEFT analysis

Reference 18

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arxiv_id, observed 2026-05-22T09:01:19.599098Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:3a52bbdc4c23f383b591c9bdd291e43382dfec313c727166466b8c566ceca081

Observation b4a04205-c962-4916-b326-a2fa0b644152 · outbound

This paper cites Constraining top-quark couplings combining top-quark and $\boldsymbol{B}$ decay observables.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Constraining top-quark couplings combining top-quark and $\boldsymbol{B}$ decay observables

Reference 19

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arxiv_id, observed 2026-05-22T09:01:19.540647Z

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Observation 1b6ad166-f9c0-4c20-88c6-46c92aff07d3 · outbound

This paper cites Top and Beauty synergies in SMEFT-fits at present and future colliders.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Top and Beauty synergies in SMEFT-fits at present and future colliders

Reference 20

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arxiv_id, observed 2026-05-22T09:01:19.529704Z

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Observation 8196a866-e4b6-4836-acec-e1bd8a33a802 · outbound

This paper cites New Physics in the Third Generation: A Comprehensive SMEFT Analysis and Future Prospects.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery New Physics in the Third Generation: A Comprehensive SMEFT Analysis and Future Prospects

Reference 21

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arxiv_id, observed 2026-05-22T09:01:19.558491Z

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Observation 1cd19332-c207-4486-9370-c1dbc5f2e903 · outbound

This paper cites The Flavor of UV Physics.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery The Flavor of UV Physics

Reference 22

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arxiv_id, observed 2026-05-22T09:01:19.762334Z

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Observation c7791080-9397-4abc-9636-7dca2ec8aef8 · outbound

This paper cites Resolving the Flavor Structure in the MFV-SMEFT.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Resolving the Flavor Structure in the MFV-SMEFT

Reference 23

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arxiv_id, observed 2026-05-22T09:01:19.615557Z

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Observation 5215c3e5-3b71-427e-8794-2470da0682eb · outbound

This paper cites The Importance of Flavor in SMEFT Electroweak Precision Fits.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery The Importance of Flavor in SMEFT Electroweak Precision Fits

Reference 24

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arxiv_id, observed 2026-05-22T09:01:19.756741Z

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Observation 98c431c2-724c-49ab-838f-7f482bf7f261 · outbound

This paper cites More Synergies from Beauty, Top, $Z$ and Drell-Yan Measurements in SMEFT.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery More Synergies from Beauty, Top, $Z$ and Drell-Yan Measurements in SMEFT

Reference 25

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arxiv_id, observed 2026-05-22T09:01:19.699027Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c8b870df-152d-476a-b24f-4c07d3715d4c · outbound

This paper cites Missing Energy plus Jet in the SMEFT.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Missing Energy plus Jet in the SMEFT

Reference 26

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arxiv_id, observed 2026-05-22T09:01:19.535240Z

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Observation f45ab539-d27d-43e2-8282-740cdbc9e71e · outbound

This paper cites Total Drell-Yan in the flavorful SMEFT.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Total Drell-Yan in the flavorful SMEFT

Reference 27

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arxiv_id, observed 2026-05-22T09:01:19.661830Z

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Observation 3d6f4cef-bfc8-4b29-85db-594d112da939 · outbound

This paper cites Higgs trilinear coupling in the standard model effective field theory at the high luminosity LHC and the FCC-ee.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Higgs trilinear coupling in the standard model effective field theory at the high luminosity LHC and the FCC-ee

Reference 28

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arxiv_id, observed 2026-05-22T09:01:19.814090Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:ea588079a9afc1dc98de8793339e78c241c42f3a6314b2a9ee5ccb3c06e1983c

Observation fd2a091e-fdf2-4d3c-bd47-9f054aab9798 · outbound

This paper cites Probing the flavour-blind SMEFT: EFT validity and the interplay of energy scales.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Probing the flavour-blind SMEFT: EFT validity and the interplay of energy scales

Reference 29

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arxiv_id, observed 2026-05-22T09:01:19.710331Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c2ac62df-84bd-4de8-913f-5e29095ce765 · outbound

This paper cites Connecting Scales: RGE Effects in the SMEFT at the LHC and Future Colliders.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Connecting Scales: RGE Effects in the SMEFT at the LHC and Future Colliders

Reference 30

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arxiv_id, observed 2026-05-22T09:01:19.552862Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:57ddd4bda8976878d31a17fade8823e2309f287afdd875893b540ec14df4798f

Observation 99379cfd-45d1-48ef-855f-84f14bbbcfab · outbound

This paper cites Mapping the SMEFT at High-Energy Colliders: from LEP and the (HL-)LHC to the FCC-ee.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Mapping the SMEFT at High-Energy Colliders: from LEP and the (HL-)LHC to the FCC-ee

Reference 31

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arxiv_id, observed 2026-05-22T09:01:19.779938Z

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source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:af7d0f0dc85f84349f8ccc081aed859381d84c1555ddc40b9956169b290fda9c

Observation 808aaacf-2c82-4cbc-a236-bedce9f75912 · outbound

This paper cites The Higgs Self-Coupling at FCC-ee.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery The Higgs Self-Coupling at FCC-ee

Reference 32

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arxiv_id, observed 2026-05-22T09:01:19.546305Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:8186c5c9fd289eb311c1dfff74d65fba371be9ec7bd4fa962484d1da035829bd

Observation b92f01b6-03bf-4167-a292-2c8e41076109 · outbound

This paper cites de Blas, A.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery de Blas, A

Reference 33

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arxiv_id, observed 2026-05-22T09:01:19.650017Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:a270a0f9ad01437d6b40d8cfbf90a9c566f7f1cbe7c4cf7d129ddbd6183f3c19

Observation 31dd1988-6e87-4088-b422-7bcf836e471c · outbound

This paper cites New Physics Reach through Precision at Future Colliders: a Multi-Pronged Approach.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery New Physics Reach through Precision at Future Colliders: a Multi-Pronged Approach

Reference 34

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local_arxiv, observed 2026-05-22T09:01:19.637901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:4d3a1aee7c6039f3f4a1ecb7b085edef178f82bbc93ed339e0e467df8000d29c

Observation 339f770a-3f2d-448b-a8ec-0246746d6399 · outbound

This paper cites Hirsch, L.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Hirsch, L

Reference 35

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arxiv_id, observed 2026-05-22T09:01:19.609879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:d8f1276f8e187a4187683c0ae5a7ec14e23db1f554621118c38bc18011b21a0d

Observation cf725850-0a42-46f2-b1ac-47eb8cc9f262 · outbound

This paper cites Renormalization Group Evolution of the Standard Model Dimension Six Operators II: Yukawa Dependence.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Renormalization Group Evolution of the Standard Model Dimension Six Operators II: Yukawa Dependence

Reference 36

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arxiv_id, observed 2026-05-22T09:01:19.582216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:69695411c3462fa912d54fb5fb3f2a25cc4289d126f29f0053b6502956f777ab

Observation 375ba5a6-b58d-403e-aa25-00e78b4a8f72 · outbound

This paper cites Renormalization Group Evolution of the Standard Model Dimension Six Operators I: Formalism and lambda Dependence.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Renormalization Group Evolution of the Standard Model Dimension Six Operators I: Formalism and lambda Dependence

Reference 37

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arxiv_id, observed 2026-05-22T09:01:19.685609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:fa53578005c8d3283c470ba2d1680f9164d51b48f762f62eb074f80da4dcfaa6

Observation d3f9bf49-57e2-4ee2-a841-0328eacde189 · outbound

This paper cites Renormalization Group Evolution of the Standard Model Dimension Six Operators III: Gauge Coupling Dependence and Phenomenology.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Renormalization Group Evolution of the Standard Model Dimension Six Operators III: Gauge Coupling Dependence and Phenomenology

Reference 38

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verified exact
arxiv_id, observed 2026-05-22T09:01:19.785578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:37e8017f36fb647d1aeab9c064071dabd8dd7b4a9bb745a2432f1d6e59490400

Observation d3db7982-7b2c-42e7-98b1-7d0251945b19 · outbound

This paper cites Next-to-Leading Order Running in the SMEFT.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Next-to-Leading Order Running in the SMEFT

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:01:19.792920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:fe906f416082885072544eb5c9d1ad10e11697d0a1116829872c87d8fa92732c

Observation 89354ef6-a57b-41fd-92fa-1f33088317d3 · outbound

This paper cites Effective description of general extensions of the Standard Model: the complete tree-level dictionary.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Effective description of general extensions of the Standard Model: the complete tree-level dictionary

Reference 40

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verified exact
local_arxiv, observed 2026-05-22T09:01:19.621086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:67bded73698d7ff9216cdd7f279ab31dd9cb50dc2cb5b7246336695a876722a4

Observation f0ea6f27-ba1c-4f70-9935-ec7eb2336612 · outbound

This paper cites Towards the one loop IR/UV dictionary in the SMEFT: one loop generated operators from new scalars and fermions.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Towards the one loop IR/UV dictionary in the SMEFT: one loop generated operators from new scalars and fermions

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:01:19.604424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:4c76dc8e5a5ea02a1f9a004174ca8919cb19a853e76c62439cc972d3c9b4d873

Observation 78f8859e-690b-45b2-b975-4369317b8c49 · outbound

This paper cites From the EFT to the UV: the complete SMEFT one-loop dictionary.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery From the EFT to the UV: the complete SMEFT one-loop dictionary

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-22T09:01:19.632057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:3c02cade693acea113b9a9e6933085815df2f8b20c0b5bc60d99d8c1d300292d

Observation db71724f-3f6a-4adb-a8a6-6ec753ad8b30 · outbound

This paper cites Field redefinitions in effective theories at higher orders.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Field redefinitions in effective theories at higher orders

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:01:19.627099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:19c7dca1d1a15201e5ba04616f6db1f9c9c919f385e35d9304d779777a2ad5bb

Observation f240b053-2285-4059-9067-65352821bebe · outbound

This paper cites de Blas et al.,Physics Briefing Book: Input for the 2026 update of the European Strategy for Particle Physics,2511.03883.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery de Blas et al.,Physics Briefing Book: Input for the 2026 update of the European Strategy for Particle Physics,2511.03883

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:01:19.643949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:0bf1b41c22ddb493b1d8a2225c62eed60860dcc445eb089ec0639c07b8d5d22d

Observation 0862cf8c-9856-4079-8188-73e0d03847ec · outbound

This paper cites Bayes in the sky: Bayesian inference and model selection in cosmology.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Bayes in the sky: Bayesian inference and model selection in cosmology

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-22T09:01:19.655773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:b05866f375d741fad1818472a80a8318b7327aae2041f0bd44edb284aae477a9

Observation cbf09a44-fa74-445f-9994-1d4a6b624f1e · outbound

This paper cites Jaynes,Probability Theory: The Logic of Science, CUP (2003).

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Jaynes,Probability Theory: The Logic of Science, CUP (2003)

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:01:21.016586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:6ae7fc0cfc63642e257b7a6b9d5acec157458e171e27365840a9cbaadc4d83e0

Observation 1a5e7f9f-7b3a-4ae9-9a6a-2fbb98781831 · outbound

This paper cites Jeffreys,The Theory of Probability, Oxford Classic Texts in the Physical Sciences (1939).

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Jeffreys,The Theory of Probability, Oxford Classic Texts in the Physical Sciences (1939)

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:01:21.026496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:a9d2b114524a575845cd577497f4954a7fdb964de1bf83a4c21946c2ead243b4

Observation de0fc255-ee1c-4a68-aff9-0b991d30d078 · outbound

This paper cites SMEFiT: a flexible toolbox for global interpretations of particle physics data with effective field theories.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery SMEFiT: a flexible toolbox for global interpretations of particle physics data with effective field theories

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:01:19.772977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:9e969e85e7f209fc8ba4456de2345b8520eee4ffc2e37795e5c5ad7faa216435

Observation 60125fd0-5600-495e-9410-67d242fcf7cb · outbound

This paper cites The effect of the two-loop SMEFT RGEs at future colliders.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery The effect of the two-loop SMEFT RGEs at future colliders

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-22T09:01:19.721703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:65eeda27b06b0f9feb9344cd1483e764c9b948f5812b219c721334d707c0210d

Observation 7c4ccd06-6279-42ff-9b28-ca3384cfc84f · outbound

This paper cites When Two Loops Matter: Electroweak Precision in the SMEFT.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery When Two Loops Matter: Electroweak Precision in the SMEFT

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-05-22T09:01:19.726866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:141eb2939e4ca0bf573cefa326eaa70ca158e8873c3d91a80bac54bd0acf6eb1

Observation d50b8ab9-9a28-491d-9385-ae9fcd8842f8 · outbound

This paper cites Sensitivity to BSM effects in the Higgs $p_T$ spectrum within SMEFT.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Sensitivity to BSM effects in the Higgs $p_T$ spectrum within SMEFT

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:01:19.576324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:4b997bc3597a144f54a69ae127dd974e52f8abdfebc59956daf13d725ee43dad

Observation 16db3740-13e0-4776-bc91-f6fbc8ba89e8 · outbound

This paper cites Renormalisation group effects on SMEFT interpretations of LHC data.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Renormalisation group effects on SMEFT interpretations of LHC data

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:01:19.745686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:bfcb42e15db78cfdd2da33cb439cb91288f4dd989bae2bb60e37e9becf96004e

Observation 7527dcfd-e576-4bf3-9ab7-0cfd4445f486 · outbound

This paper cites Renormalisation group running effects in $pp\to t\bar{t}h$ in the Standard Model Effective Field Theory.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Renormalisation group running effects in $pp\to t\bar{t}h$ in the Standard Model Effective Field Theory

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:01:19.808774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:39fe62a1a49031907025287a3630bd9a5357004bebceccc51fa52b213325ef10

Observation 736dc060-6eee-4913-84ee-a4e084d932a2 · outbound

This paper cites Renormalisation group evolution effects on global SMEFT analyses.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Renormalisation group evolution effects on global SMEFT analyses

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:01:19.674531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:051be48f398c6a685786866d3df1e0a51e6577f6640572e96731a149837c7878

Observation 8cde1dbd-b1a1-47db-880e-6f1289858e0c · outbound

This paper cites Impact of SMEFT renormalisation group running on Higgs production at the LHC.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Impact of SMEFT renormalisation group running on Higgs production at the LHC

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:01:19.803359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:fd8210e23ba322dfe9b524ce55efa172ae80f639f56724dacae80c4ba0ecceb2

Observation 97b31d01-019c-4bfa-bab1-5400cd077650 · outbound

This paper cites Leading directions in the SMEFT: Renormalization Effects.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Leading directions in the SMEFT: Renormalization Effects

Reference 56

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verified exact
arxiv_id, observed 2026-05-22T09:01:19.680069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:b7ea14998f9ef6489e5c291896026cbb489114305ab02bc75c174774c2b0ee10

Observation 65c0be69-3b5f-41b1-b5fb-5daacb550cc9 · outbound

This paper cites Two-loop renormalisation of quark and gluon fields in the SMEFT.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Two-loop renormalisation of quark and gluon fields in the SMEFT

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:01:19.751381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:7bb8936c74cf67761a55fe693efde958487bb84b169127d7e7d62a64b5332a0d

Observation dc2c7665-3551-49c1-89ed-c7167d380ebe · outbound

This paper cites New Physics at Tera-$Z$: Precision Renormalised.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery New Physics at Tera-$Z$: Precision Renormalised

Reference 58

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arxiv_id, observed 2026-05-22T09:01:19.704884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:17ecfd09e99f787cfffc161f9104960b603ca1c4beeacd631efcb50253626cc4

Observation ed772b1e-1d20-42bb-bf69-ed26400bd0d7 · outbound

This paper cites Akaike,A new look at the statistical model identification,IEEE Transactions on Automatic ControlAC-19(1974) 716.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Akaike,A new look at the statistical model identification,IEEE Transactions on Automatic ControlAC-19(1974) 716

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:01:21.042172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:f30e19c71886381a0b63c20184599c44fa5dddf3d580831f5ba0dc2f8b90a7fa

Observation 6b0adb06-e3ab-4a2d-8cdc-143371b1d397 · outbound

This paper cites Schwarz,Estimating the Dimension of a Model,Annals Statist.6(1978) 461.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Schwarz,Estimating the Dimension of a Model,Annals Statist.6(1978) 461

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:01:21.047225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:ddf35eac602442f579f1ea5855d33fdfb6b32e3a95c940323aa10eea69cf3de8

Observation 3b0a21b9-ced3-4947-ae34-31ceb0ce5b54 · outbound

This paper cites Holland,Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor, MI (1975).

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Holland,Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor, MI (1975)

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:01:21.052525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:568d7b87d8c15de28bc2cd322498becf08aeb75d931a35d55ea7c37692be3d30

Observation 3e46cd8d-b448-4d32-80f9-d42b76733a1c · outbound

This paper cites Goldberg,Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, New York (1989).

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Goldberg,Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, New York (1989)

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:01:21.059349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:d5959f92b9ba75eac56282e3434cb0ae6a457cf6f8ceb1b24590dd60bf61a001

Observation 9ae29214-83ca-49b0-ba1e-ca501b1a8e96 · outbound

This paper cites Electroweak Measurements in Electron-Positron Collisions at W-Boson-Pair Energies at LEP.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Electroweak Measurements in Electron-Positron Collisions at W-Boson-Pair Energies at LEP

Reference 63

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T09:01:19.739897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:701707970eb9ac7478d035dc8bffc1ef14f507ec4922ca19e35ccd4df8673853

Observation 5b362ff7-06f1-4504-9b78-0d3c59e043e8 · outbound

This paper cites Giani, G.

Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery Giani, G

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:01:21.036549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T08:59:27.333285Z digest=sha256:fb1b13fade1bcd59797d10dae5ed7e0f1cafb4f3a9775dc39c8f8c25009c1942

Pith citing papers

Observation 80f40974-2308-4ebb-b7ae-5dbe11a552d7 · inbound

Descoped and Upscoped FCC-ee Running Scenarios in the SMEFT cites this paper.

Descoped and Upscoped FCC-ee Running Scenarios in the SMEFT Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-07T21:58:17.576814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T21:58:17.429029Z digest=sha256:94ec7e9c2c03f0851929922c4c6512afaae03a61f379994bb2c4b662db8424d6