Paper Citation Record · LEDGER

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise

As of 22 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.22330.

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

pith.paper-citation-record.v1
2607.22330 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:10:07.227104Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

verified exact0
verified fuzzy0
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0a983977-0ea5-44ea-8b42-3701d7d7dff5 · outbound

This paper cites Dust spectral energy distribution in the era of Herschel and Planck: A hierarchical Bayesian-futting technique,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise Dust spectral energy distribution in the era of Herschel and Planck: A hierarchical Bayesian-futting technique,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:05.131225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0880b731-cb5e-4afd-9344-15da49714dff · outbound

This paper cites Beetroots: Spatially regularized bayesian inference of physical parameter maps. application to orion,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise Beetroots: Spatially regularized bayesian inference of physical parameter maps. application to orion,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:05.216848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b87a2c3e-635c-4980-9036-4ee8911284ea · outbound

This paper cites Oriented speckle reducing anisotropic diffusion,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise Oriented speckle reducing anisotropic diffusion,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:05.292201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb9c6aa1-40d3-47c0-a92f-63b2c8a0193f · outbound

This paper cites Multiplicative noise removal using l1 fidelity on frame coefficients,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise Multiplicative noise removal using l1 fidelity on frame coefficients,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:05.407445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f18c16d-c31e-4e10-a555-82d697b4cc75 · outbound

This paper cites A nonlinear inverse scale space method for a convex multiplicative noise model,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise A nonlinear inverse scale space method for a convex multiplicative noise model,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:05.466771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a710771-f048-495b-8313-3ae11ab4a137 · outbound

This paper cites An additive approximation to multiplica- tive noise,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise An additive approximation to multiplica- tive noise,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:05.556609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9cca961-c24f-4f18-a598-5d58b7d2316a · outbound

This paper cites The convex relaxation method on deconvolution model with multiplicative noise,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise The convex relaxation method on deconvolution model with multiplicative noise,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:05.626858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ef9351c-12b9-4222-a58e-1b9d40ff797e · outbound

This paper cites Efficient sampling of non log-concave posterior distribu- tions with mixture of noises,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise Efficient sampling of non log-concave posterior distribu- tions with mixture of noises,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:05.734020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05bc5b74-5fd5-467d-b092-1ab4c134ef41 · outbound

This paper cites An algorithm for solving the inverse problem in total internal reflection microscopy,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise An algorithm for solving the inverse problem in total internal reflection microscopy,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:05.830299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7ee2380-782f-45ae-8aeb-7b9c5ef33098 · outbound

This paper cites Solving Bayesian Inverse Problems With Expensive Likelihoods Using Constrained Gaussian Processes and Active Learning.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise Solving Bayesian Inverse Problems With Expensive Likelihoods Using Constrained Gaussian Processes and Active Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:05.900664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f883f15-10e6-490d-b43c-5edf88324fda · outbound

This paper cites an unresolved cited work.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:05.980387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58580f7b-bb7d-4799-ab20-db50c336c7b9 · outbound

This paper cites An adaptive surrogate modeling based on deep neural networks for large-scale bayesian inverse problems,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise An adaptive surrogate modeling based on deep neural networks for large-scale bayesian inverse problems,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:06.055383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d0252c1-497c-4ae5-8bbd-1453d8b53b14 · outbound

This paper cites Methods for stochastic col- lection and replenishment (scar) optimisation for persistent autonomy,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise Methods for stochastic col- lection and replenishment (scar) optimisation for persistent autonomy,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:06.135246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41321772-3c64-4027-a07d-b6e55ffb9d0a · outbound

This paper cites Inverse problems: From regularization to bayesian inference,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise Inverse problems: From regularization to bayesian inference,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:06.209647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 653174bb-1b14-4d6f-af82-4a59926b8c5d · outbound

This paper cites Convergence of condi- tional metropolis-hastings samplers,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise Convergence of condi- tional metropolis-hastings samplers,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:06.283891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 346ed113-355f-4ff4-9715-029fb79dbf2f · outbound

This paper cites Parallel gibbs sampling: From colored fields to thin junction trees,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise Parallel gibbs sampling: From colored fields to thin junction trees,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:06.366359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44a5f1fd-3fba-42f2-93ab-e43390c139ae · outbound

This paper cites an unresolved cited work.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:06.431458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16d4e06c-9aa4-4a54-988b-2fdf1aec4dd5 · outbound

This paper cites The multiple-try method and local optimization in metropolis sampling,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise The multiple-try method and local optimization in metropolis sampling,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:06.525850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c54bb43d-f010-443d-90bd-77a883f454f5 · outbound

This paper cites Langevin diffusions and the metropolis-adjusted langevin algorithm,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise Langevin diffusions and the metropolis-adjusted langevin algorithm,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:06.601750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ed4720b-609a-4bd8-994b-2c7c5923f5a2 · outbound

This paper cites Exponential convergence of langevin distributions and their discrete approximations,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise Exponential convergence of langevin distributions and their discrete approximations,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:06.683337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37c5320a-bd6e-4d08-9710-45a040619acb · outbound

This paper cites A review of multiple try mcmc algorithms for signal processing,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise A review of multiple try mcmc algorithms for signal processing,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:06.730974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 724cecf5-b643-421c-b638-aeefaf66a41b · outbound

This paper cites an unresolved cited work.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:06.816399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26312ee1-6738-45bf-a4ff-bf96fd804ff6 · outbound

This paper cites A model for atomic and molecular interstellar gas: The meudon pdr code,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise A model for atomic and molecular interstellar gas: The meudon pdr code,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:06.893877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70429cbd-346c-4f04-8f5e-34c49df579b7 · outbound

This paper cites Neural network-based emulation of interstellar medium models,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise Neural network-based emulation of interstellar medium models,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:06.982259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8346ddc-edce-41f3-9dc3-ffde647ddb71 · outbound

This paper cites Bayes factors,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise Bayes factors,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:07.058197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49847470-27b3-4d45-8c12-86ae6c826339 · outbound

This paper cites Understanding predictive infor- mation criteria for bayesian models,.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise Understanding predictive infor- mation criteria for bayesian models,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:07.150235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c46627c-5d04-4db5-a4bf-2082a3de7356 · outbound

This paper cites Nocedal and S.

A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise Nocedal and S

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:07.227104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.