Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-08T12:20:25.185271Z
Paper Citation Record · LEDGER
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization
As of 3 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2605.06599.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T10:18:18.606851Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
51 of 51 outbound references displayed
- verified exact3
- verified fuzzy48
- unresolved0
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- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 60c90ff4-79be-4566-b6ba-f61b60394066 · outbound
This paper cites Learning without forgetting for vision-language models.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Learning without forgetting for vision-language models
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.412303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e750d5b7-0dd2-474d-a9e2-6be8a94b9163 · outbound
This paper cites Graph foundation models: Concepts, opportunities and challenges.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Graph foundation models: Concepts, opportunities and challenges
Reference 2
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation dcbf6f37-6f6b-465d-963b-44f6a951451b · outbound
This paper cites Deformable graph transformer.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Deformable graph transformer
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0a7be8f3-9e30-45ff-92a5-fb0114820b6f · outbound
This paper cites Nas-ped: Neural architecture search for pedestrian detection.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Nas-ped: Neural architecture search for pedestrian detection
Reference 4
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 787c5f82-d614-4afa-90ee-6867b6164851 · outbound
This paper cites Attention is all you need.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Attention is all you need
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.406129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 388c4142-d70e-4a1d-b200-44c4e5ed3641 · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization An image is worth 16x16 words: Transformers for image recognition at scale
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.409640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b9c13802-d82b-44e6-8883-270a481561ed · outbound
This paper cites Conformer: Convolution-augmented transformer for speech recognition.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Conformer: Convolution-augmented transformer for speech recognition
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.420078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 21b8a29c-72fa-4614-972f-ca20f4f75489 · outbound
This paper cites Ambrosio, L.A.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Ambrosio, L.A
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation af84252f-1111-4202-b193-39badc660ddb · outbound
This paper cites A simple weight decay can improve generalization.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization A simple weight decay can improve generalization
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b2f7a34d-c918-4322-9c1d-b6fa5d6c7b1a · outbound
This paper cites Decoupled weight decay regularization.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Decoupled weight decay regularization
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.410890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e4cd867b-780d-4cec-8f57-72511d67ff9e · outbound
This paper cites Propagation of Chaos for Mean-Field Langevin Dynamics and its Application to Model Ensemble.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Propagation of Chaos for Mean-Field Langevin Dynamics and its Application to Model Ensemble
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:16:10.372724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 5ae0159f-9848-4c0c-a768-a80375a99536 · outbound
This paper cites Mean-field langevin dynamics: Exponential convergence and annealing.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Mean-field langevin dynamics: Exponential convergence and annealing
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.374730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 69de145b-afa6-4aa5-bd20-5352cc900ea0 · outbound
This paper cites Bayesian learning via stochastic gradient langevin dynamics.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Bayesian learning via stochastic gradient langevin dynamics
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.425675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d922ecf3-07c3-4e2f-b438-b64263c5126d · outbound
This paper cites Adding Gradient Noise Improves Learning for Very Deep Networks.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Adding Gradient Noise Improves Learning for Very Deep Networks
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:16:10.401096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ce908e78-5b67-4b24-b330-0e580ed0d6e3 · outbound
This paper cites Stochastic gradient langevin dy- namics with variance reduction.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Stochastic gradient langevin dy- namics with variance reduction
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.422600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 8e5bb3fe-bd2b-42cf-adf2-0b8582c824dd · outbound
This paper cites Weight decay induces low-rank attention layers.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Weight decay induces low-rank attention layers
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.415054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 67ffa9c8-e3e1-4764-8a2d-b5c3a4084cc3 · outbound
This paper cites How does attention work in vision transformers? a visual analytics attempt.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization How does attention work in vision transformers? a visual analytics attempt
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.381610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0354a5e5-58cc-4f35-a109-849f3b046be7 · outbound
This paper cites The shaped transformer: Attention models in the infinite depth-and- width limit.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization The shaped transformer: Attention models in the infinite depth-and- width limit
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.381899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 39f43703-60f2-4020-8300-ceb21532f679 · outbound
This paper cites Examining the shape of attention in transformers.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Examining the shape of attention in transformers
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.408365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d822a3cb-5d3b-4f0c-9075-610b0f005774 · outbound
This paper cites Mean-field theory of two- layers neural networks: dimension-free bounds and kernel limit.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Mean-field theory of two- layers neural networks: dimension-free bounds and kernel limit
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.428509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c86b3c8d-e3c8-4c38-93df-5c1679f64140 · outbound
This paper cites (Non-) asymptotic properties of Stochastic Gradient Langevin Dynamics.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization (Non-) asymptotic properties of Stochastic Gradient Langevin Dynamics
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T20:34:43.130372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation cf743467-d644-46e4-8a52-f345257d7ca3 · outbound
This paper cites Non-convex learning via stochastic gradient langevin dynamics: a nonasymptotic analysis.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Non-convex learning via stochastic gradient langevin dynamics: a nonasymptotic analysis
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.350286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation edd0622e-4ac4-4dc7-8714-1b508e6acce4 · outbound
This paper cites Logarithmic sobolev inequalities.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Logarithmic sobolev inequalities
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.415798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ce3cb44f-32df-4fd7-86f1-f002b4bea656 · outbound
This paper cites Logarithmic sobolev inequalities essentials.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Logarithmic sobolev inequalities essentials
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.413404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 12987acc-bbdf-43bd-9b01-85e1c8e79e07 · outbound
This paper cites Diffusions hypercontractives.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Diffusions hypercontractives
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.423239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 386711d7-d12c-4e7f-b231-f3d47e3540d9 · outbound
This paper cites Lectures on logarithmic sobolev inequalities.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Lectures on logarithmic sobolev inequalities
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.405345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 4b1e6a41-f4d5-4e82-810e-53722e857615 · outbound
This paper cites Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.431329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 66b3b37b-c07f-4e45-8824-32687ec9d9da · outbound
This paper cites Mean field analysis of neural networks: A central limit theorem.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Mean field analysis of neural networks: A central limit theorem
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.336454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 675b441e-cfc7-49d9-bd3a-d8042b811542 · outbound
This paper cites Global convergence of langevin dynamics based algorithms for nonconvex optimization.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Global convergence of langevin dynamics based algorithms for nonconvex optimization
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 791972fb-88f5-4be1-b6b5-5efe46bbb043 · outbound
This paper cites Villani,Optimal Transport: Old and New, Grundlehren der mathematischen Wissenschaften.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Villani,Optimal Transport: Old and New, Grundlehren der mathematischen Wissenschaften
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.350508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 483c8cfc-394f-4f24-ad92-96ab4c94ec6a · outbound
This paper cites Improving learning to optimize using parameter symmetries.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Improving learning to optimize using parameter symmetries
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.354212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 73b6601e-dcde-4790-bacc-53419c8f83fe · outbound
This paper cites How good is the bayes posterior in deep neural networks really?.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization How good is the bayes posterior in deep neural networks really?
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.367937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e8a8e2d8-a0b3-49af-9c93-6f2561a68ec0 · outbound
This paper cites Cover and J.A.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Cover and J.A
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.327721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 37e4c76e-72a2-4862-b50b-18cafa765d90 · outbound
This paper cites Catoni,PAC-Bayesian Supervised Classification: The Thermodynam- ics of Statistical Learning, vol.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Catoni,PAC-Bayesian Supervised Classification: The Thermodynam- ics of Statistical Learning, vol
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.318593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 5734c838-187a-466e-9884-b2dab5ae68ce · outbound
This paper cites Noise-regularised in- struction tuning improves llm robustness.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Noise-regularised in- struction tuning improves llm robustness
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.321662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 722123d6-0427-40b8-99f8-8ebae35155fc · outbound
This paper cites Ridge-less regres- sion, implicit regularisation, and generalisation.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Ridge-less regres- sion, implicit regularisation, and generalisation
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.332598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f95a64dd-a4db-4f00-b3bb-aad68f92f11f · outbound
This paper cites Backpack 1.2.0 documenta- tion: Hutchinson trace estimation.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Backpack 1.2.0 documenta- tion: Hutchinson trace estimation
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.315715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 30c68e48-9c9d-45fa-bd51-922496db1e3b · outbound
This paper cites Penn treebank dataset.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Penn treebank dataset
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.364225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0f8cd4dc-94fd-4102-b3d3-fdabf665638e · outbound
This paper cites Treebank-3 (ldc99t42).
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Treebank-3 (ldc99t42)
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.357529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f4b1cebe-e6ab-4d71-9213-7c787f2e8438 · outbound
This paper cites Wikitext-103 dataset.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Wikitext-103 dataset
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.434411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 8f1ca226-ffd2-4bca-a166-9bca1d04cc30 · outbound
This paper cites Salesforce/wikitext.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Salesforce/wikitext
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.402339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation beb1a662-f164-4738-910e-7ec809268a42 · outbound
This paper cites DIV A: Deep un- folded network from quantum interactive patches for image restoration.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization DIV A: Deep un- folded network from quantum interactive patches for image restoration
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.399517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b1c97cef-f829-4f6a-b2d4-19d15f84fd15 · outbound
This paper cites Quantum algorithm for signal denoising.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Quantum algorithm for signal denoising
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.420758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 806825b1-77d6-4bc7-ae35-4cb97dae2eec · outbound
This paper cites Quantum mechanics-based signal and image representation: Application to de- noising.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Quantum mechanics-based signal and image representation: Application to de- noising
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.387915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 492617b9-3122-44a6-9dbf-9d2309482117 · outbound
This paper cites A quantum denoising-based resolution enhancement framework for 250-mhz and 500-mhz quantitative acoustic microscopy.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization A quantum denoising-based resolution enhancement framework for 250-mhz and 500-mhz quantitative acoustic microscopy
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.368538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 1a728a2e-ee1f-4dbf-9209-6cb1487168ac · outbound
This paper cites Enhancing 3d radio-frequency data in quantitative acoustic microscopy using quantum-driven prior at 250-mhz and 500-mhz.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Enhancing 3d radio-frequency data in quantitative acoustic microscopy using quantum-driven prior at 250-mhz and 500-mhz
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.365818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ff3e7399-e2e6-43c1-8147-ba58e711c188 · outbound
This paper cites Unsupervised physics-inspired deep learning network with application to dental computed tomography image restoration.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Unsupervised physics-inspired deep learning network with application to dental computed tomography image restoration
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.371491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b903d0ef-39fe-4430-8b16-58f716b2c303 · outbound
This paper cites Auto- matic tuning of denoising algorithms parameters without ground truth.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Auto- matic tuning of denoising algorithms parameters without ground truth
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.391040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c2de7aa6-d092-4d13-b514-5a04ffc0b57e · outbound
This paper cites Chatgpt.
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.403036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 37f2a141-c835-472e-bc73-218954667e4c · outbound
This paper cites Copilot.
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.417589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ad19638a-3c24-41d1-872e-b339ee5a7686 · outbound
This paper cites Randomized algorithms for estimating the trace of an implicit symmetric positive semi-definite matrix.
Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization Randomized algorithms for estimating the trace of an implicit symmetric positive semi-definite matrix
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:27:49.286751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Pith citing papers
Observation 265d89ea-e46c-4a6c-875c-f22e97fc6d30 · inbound
The Blessing of Dimensionality: How Near-Orthogonality in High-Dimensional Spaces Explains Temporal Portability cites this paper.
The Blessing of Dimensionality: How Near-Orthogonality in High-Dimensional Spaces Explains Temporal Portability Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T10:18:18.606851Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.