Paper Citation Record · LEDGER

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction

As of 14 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.14320.

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

pith.paper-citation-record.v1
2607.14320 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:30:41.667174Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

34 of 34 outbound references displayed

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verified fuzzy0
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External citation measurements

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Outbound references

Observation 54ce908a-c9f2-406e-b029-4dbb8c466c41 · outbound

This paper cites The meaning of interior tomography,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction The meaning of interior tomography,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:38.758701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2de6125-241b-4b09-84ba-a7d8b838ff82 · outbound

This paper cites Compressed sensing based interior tomography,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Compressed sensing based interior tomography,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:38.785598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c41d2450-affe-427d-b9bf-60bda602a926 · outbound

This paper cites Image reconstruction for sparse-view CT and interior CT: Introduction to compressed sensing and differentiated backprojection,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Image reconstruction for sparse-view CT and interior CT: Introduction to compressed sensing and differentiated backprojection,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:38.856789Z

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Unavailable: canonical work link unavailable.

Observation 48dfadce-008f-4ff2-8286-ad46ce5280b6 · outbound

This paper cites A practical local tomography reconstruction algorithm based on a known sub-region,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction A practical local tomography reconstruction algorithm based on a known sub-region,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:38.863992Z

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Observation 7feceea0-0118-41fd-8469-8e830a23e779 · outbound

This paper cites an unresolved cited work.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:38.941574Z

Source-reported events for the cited work

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Observation e3c302fa-19eb-43f4-9d81-46f104a6fe8f · outbound

This paper cites FBP and the interior problem in 2D tomography,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction FBP and the interior problem in 2D tomography,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:39.026657Z

Source-reported events for the cited work

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Observation bad260b6-903f-498d-baa7-babde7f5d0ef · outbound

This paper cites Simultaneous algebraic reconstruction technique (SART): A superior implementation of the ART algorithm,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Simultaneous algebraic reconstruction technique (SART): A superior implementation of the ART algorithm,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:39.081970Z

Source-reported events for the cited work

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Observation 76b158a4-c8e5-4c51-8afe-d4e0631f2319 · outbound

This paper cites Ordered-subset simultaneous algebraic recon- struction techniques (OS-SART),.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Ordered-subset simultaneous algebraic recon- struction techniques (OS-SART),

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:39.150947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff9fe9fb-ee8b-4f62-a237-e166561a6613 · outbound

This paper cites Bone-induced streak artifact suppression in sparse-view CT image reconstruction,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Bone-induced streak artifact suppression in sparse-view CT image reconstruction,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:39.243304Z

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Observation ba142619-a358-466c-aaa5-7e56dc4f45be · outbound

This paper cites Artifact reduction methods for truncated projections in iterative breast tomosynthesis reconstruction,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Artifact reduction methods for truncated projections in iterative breast tomosynthesis reconstruction,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:39.318841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82f6c35c-bd7a-4ee3-a387-33348f9ba8f7 · outbound

This paper cites A diffusion-based truncated projection artifact reduction method for iterative digital breast tomosynthesis reconstruction,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction A diffusion-based truncated projection artifact reduction method for iterative digital breast tomosynthesis reconstruction,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:39.405460Z

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Unavailable: canonical work link unavailable.

Observation 2210b11e-da20-4d50-a8de-dc9734914dc1 · outbound

This paper cites Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:39.484981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 708dcd96-64ef-4880-979d-70d46470a9b5 · outbound

This paper cites Prior image constrained compressed sensing (PICCS): A method to accurately reconstruct dynamic CT images from highly undersampled projection data sets,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Prior image constrained compressed sensing (PICCS): A method to accurately reconstruct dynamic CT images from highly undersampled projection data sets,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:39.559525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9563a035-ea2e-47d0-b9fc-2901efd68f98 · outbound

This paper cites Solving inverse problems using data-driven models,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Solving inverse problems using data-driven models,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:39.648539Z

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Unavailable: canonical work link unavailable.

Observation 8bc7310b-6067-4f95-bd85-261e201c43de · outbound

This paper cites Low-dose ct reconstruction via edge-preserving total variation regularization,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Low-dose ct reconstruction via edge-preserving total variation regularization,

Reference 15

Resolution: malformed identifier; no resolver link, observed 2026-08-02T02:30:39.717703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd93c977-a54e-4838-bdef-d9e86070ab9b · outbound

This paper cites Deep Learning Interior Tomography for Region-of-Interest Reconstruction.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Deep Learning Interior Tomography for Region-of-Interest Reconstruction

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:39.804405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 454a5d40-b638-46ac-ae71-d28dd30e6da1 · outbound

This paper cites One Network to Solve All ROIs: Deep Learning CT for Any ROI using Differentiated Backprojection.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction One Network to Solve All ROIs: Deep Learning CT for Any ROI using Differentiated Backprojection

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:39.888824Z

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Unavailable: canonical work link unavailable.

Observation abac39a3-4dd0-48df-b37a-4eabb6891f1a · outbound

This paper cites End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:39.984590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 563b7f37-2bf8-4390-9204-62c568df01d4 · outbound

This paper cites Solving inverse problems in medical imaging with score-based generative models,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Solving inverse problems in medical imaging with score-based generative models,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:40.070042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a07ffaf8-3ad4-421d-afc3-99b5e65cb074 · outbound

This paper cites DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:40.143553Z

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Unavailable: canonical work link unavailable.

Observation e526e88d-a163-4735-a8b2-fecf6dc8e39e · outbound

This paper cites Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:40.262100Z

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Unavailable: canonical work link unavailable.

Observation 5a6415ab-6119-4869-b3f2-998ac21e7a3a · outbound

This paper cites Tomographic Foundation Model -- FORCE: Flow-Oriented Reconstruction Conditioning Engine.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Tomographic Foundation Model -- FORCE: Flow-Oriented Reconstruction Conditioning Engine

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:40.372846Z

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Unavailable: canonical work link unavailable.

Observation d4ebc830-56a8-4155-84e4-2f8f64ce530d · outbound

This paper cites Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:40.494065Z

Source-reported events for the cited work

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Observation c572d969-5306-43cf-9a23-95bbfefec3a5 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Denoising Diffusion Probabilistic Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:40.580314Z

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Unavailable: canonical work link unavailable.

Observation c11a3829-9781-41a8-a5e2-68ff1ffd61e5 · outbound

This paper cites Score-based generative modeling through stochastic differ- ential equations,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Score-based generative modeling through stochastic differ- ential equations,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:40.694469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc4806db-fef6-4158-bbba-e30714aa27dc · outbound

This paper cites Elucidating the design space of diffusion-based generative models,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Elucidating the design space of diffusion-based generative models,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:40.821598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bcee6d8-35d7-4629-83c7-ccedef4f52a4 · outbound

This paper cites Poisson flow generative models,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Poisson flow generative models,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:40.905802Z

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Unavailable: canonical work link unavailable.

Observation d2045936-ada5-4007-aa5e-e0ce1f2a506b · outbound

This paper cites PFGM++: Unlocking the potential of physics-inspired generative mod- els,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction PFGM++: Unlocking the potential of physics-inspired generative mod- els,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:40.990589Z

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Unavailable: canonical work link unavailable.

Observation 8528edc5-84d0-4768-a686-1d1fcdfe5820 · outbound

This paper cites Image quality assessment: From error visibility to structural similarity,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Image quality assessment: From error visibility to structural similarity,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:41.080518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6565570b-4939-4645-b7ea-72a838b5e7b5 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction The unreasonable effectiveness of deep features as a perceptual metric,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:41.163149Z

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Unavailable: canonical work link unavailable.

Observation c8317af5-5bf8-4a93-92b4-b3a1423c6bca · outbound

This paper cites A first-order primal-dual algorithm for convex problems with applications to imaging,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction A first-order primal-dual algorithm for convex problems with applications to imaging,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:41.292038Z

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Observation ad4cdc0e-bafc-40f7-9bab-4ba0a45fe1f2 · outbound

This paper cites Tigre v3: Efficient and easy to use iterative computed tomographic reconstruction toolbox for real datasets,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Tigre v3: Efficient and easy to use iterative computed tomographic reconstruction toolbox for real datasets,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:41.417618Z

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Unavailable: canonical work link unavailable.

Observation 44dbaf0e-26ec-497f-993d-5864803f956c · outbound

This paper cites DM4CT: Benchmarking dif- fusion models for computed tomography reconstruction,.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction DM4CT: Benchmarking dif- fusion models for computed tomography reconstruction,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:41.667174Z

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Unavailable: canonical work link unavailable.

Observation 1627abd9-a534-434b-9776-bd227b9817a7 · outbound

This paper cites Available: https://doi.org/10.1088/2631-8695/adbb3a.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Available: https://doi.org/10.1088/2631-8695/adbb3a

Reference 2025

Resolution: verified exact; doi, observed 2026-08-02T02:33:30.295209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.