Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:40:23.020196Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 3 inbound Pith citation observations for arXiv:2505.07124.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:40:23.020196Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:06:47.312098Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-04T19:00:05.190285Z
71 of 71 outbound references displayed
External citation measurements
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Observation 5a476e38-792d-4403-aa5a-38bd40f74c8e · outbound
Learning from samples: inverse problems over measures Inverse optimization
Reference 1
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Learning from samples: inverse problems over measures Sparsistency for inverse optimal transport
Reference 2
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Observation b6334a83-0182-4f51-abe5-65590d4fef3e · outbound
Learning from samples: inverse problems over measures Human mobility: Models and applications
Reference 3
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Learning from samples: inverse problems over measures Fitzpatrick functions: inequalities, examples, and remarks on a problem by s
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Observation 3d65eff4-2f2d-4448-baf1-18b65198a5d3 · outbound
Learning from samples: inverse problems over measures On Carlier's inequality
Reference 5
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Observation ec0db1b2-5b46-4d2c-bf1e-81b7fc9bd590 · outbound
Learning from samples: inverse problems over measures Convex optimization theory , volume 1
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Observation 1c5057e5-5251-48de-ab93-865fc9e2d8ee · outbound
Learning from samples: inverse problems over measures Learning energy networks with generalized fenchel-young losses
Reference 7
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Learning from samples: inverse problems over measures Learning with fenchel-young losses
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Learning from samples: inverse problems over measures Convex Analysis
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Observation 490fd668-c35b-4b73-a9bd-26d4bd33c425 · outbound
Learning from samples: inverse problems over measures Convex optimization
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Observation b9e62af3-be79-4245-be8f-7fdb8cd7181c · outbound
Learning from samples: inverse problems over measures Proximal optimal transport modeling of population dynamics
Reference 11
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Observation 0bf0ffaf-3c25-47d0-99f8-26d1dba8a478 · outbound
Learning from samples: inverse problems over measures Human mobility is well described by closed-form gravity-like models learned automatically from data
Reference 12
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Observation d4658f6b-9658-4866-b536-d7f235528bb9 · outbound
Learning from samples: inverse problems over measures Exact matrix completion via convex optimiza- tion
Reference 13
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Observation a8500509-c517-4a81-8f50-e414a4236e09 · outbound
Learning from samples: inverse problems over measures Fenchel–young inequality with a remainder and applications to convex duality and optimal transport
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Observation e7d3e7a7-0783-4033-88c1-5c767a88bd79 · outbound
Learning from samples: inverse problems over measures Lipschitz continuity of the schr¨ odinger map in entropic optimal transport
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Observation debd7a63-852c-4f16-a3ab-86ca25ad92ae · outbound
Learning from samples: inverse problems over measures Sista: learning op- timal transport costs under sparsity constraints
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Observation 0c7a5396-e808-4474-bcc4-2902867b27a2 · outbound
Learning from samples: inverse problems over measures Discrete probabilistic inverse optimal transport
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Observation afea3a73-f5b3-41eb-8f59-417fc6c03a63 · outbound
Learning from samples: inverse problems over measures An interpolating distance between optimal transport and fisher–rao metrics
Reference 18
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Observation 4135d1f2-4db0-4e8f-8e84-ec41649ceab7 · outbound
Learning from samples: inverse problems over measures Unbal- anced optimal transport: Dynamic and kantorovich formulations
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Observation 16d6de35-6035-41f2-9bf5-f48ee118f461 · outbound
Learning from samples: inverse problems over measures Trajectory in- ference via mean-field langevin in path space
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Learning from samples: inverse problems over measures Sinkhorn distances: Lightspeed computation of optimal transport
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Learning from samples: inverse problems over measures Diffusion schr¨ odinger bridge with applications to score-based generative modeling
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Observation 022e0ee5-d0df-42f3-8af8-700a0d145a65 · outbound
Learning from samples: inverse problems over measures Personality traits and the marriage market
Reference 23
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Observation 9ac53a42-66f8-4326-97a7-180dfc4817f5 · outbound
Learning from samples: inverse problems over measures Estimating matching affinity matrices under low-rank constraints
Reference 24
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Observation 8362299d-d46f-45f4-8c2d-812184e2fe92 · outbound
Learning from samples: inverse problems over measures The gravity model in transportation analysis: theory and extensions, volume 3
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Learning from samples: inverse problems over measures Sensitivity analysis for mirror-stratifiable convex functions
Reference 26
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Observation 115f6bf3-8a33-4dc7-b3e1-d5cc66474a88 · outbound
Learning from samples: inverse problems over measures The optimal partial transport problem
Reference 27
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Observation 15cfbf89-120b-414a-b71d-3ecfa1989024 · outbound
Learning from samples: inverse problems over measures An invitation to compressive sensing
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Observation 0cfdbc06-ff6e-43c4-98ab-98116587c69b · outbound
Learning from samples: inverse problems over measures Learning with a wasserstein loss
Reference 29
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Observation df663b9e-4029-4a50-b8e7-693ed792a38e · outbound
Learning from samples: inverse problems over measures On sparse representations in arbitrary redundant bases
Reference 30
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Observation 52e3cfed-1bcd-43a5-9d2b-6c3a4f65ab81 · outbound
Learning from samples: inverse problems over measures Matching with trade-offs: Revealed preferences over competing characteristics
Reference 31
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Learning from samples: inverse problems over measures Cupid’s invisible hand: Social surplus and identi- fication in matching models
Reference 32
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Observation abf709c2-f61f-406f-bd89-cd1f25ad9840 · outbound
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Observation 6128bf1d-9281-49d0-ba8e-ac3370a43df1 · outbound
Learning from samples: inverse problems over measures Local strong convexity and local lipschitz con- tinuity of the gradient of convex functions
Reference 34
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Observation 59ac1309-b6b0-457c-9696-1375b73c3634 · outbound
Learning from samples: inverse problems over measures Kantorovich-rubinstein norm and its application in the theory of lips- chitz spaces
Reference 35
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Learning from samples: inverse problems over measures Statistical learning with spar- sity: the lasso and generalizations
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Observation de6f7a74-1955-4289-bcb4-d90176c69a94 · outbound
Learning from samples: inverse problems over measures Entropic optimal transport between unbalanced gaussian measures has a closed form
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Learning from samples: inverse problems over measures On a space of totally additive func- tions
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Learning from samples: inverse problems over measures Linear convergence of gradient and proximal-gradient methods under the polyak- lojasiewicz condition
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Observation e46ba357-dc3b-40df-a963-0dfc6df77676 · outbound
Learning from samples: inverse problems over measures A new optimal transport distance on the space of finite radon measures
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Learning from samples: inverse problems over measures Towards a mathematical theory of trajectory inference
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Learning from samples: inverse problems over measures On model selection consistency of regularized m-estimators
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Learning from samples: inverse problems over measures A generalized model for optimal transport of images including dissipation and density modulation
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Learning from samples: inverse problems over measures Sinkhorn Divergences for Unbalanced Optimal Transport
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Reference 70
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Sample complexity of unbalanced entropic OT Learning from samples: inverse problems over measures
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