Pith. sign in

Paper Citation Record · LEDGER

Variational volume reconstruction with the Deep Ritz Method

As of 9 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2508.08309.

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

pith.paper-citation-record.v1
2508.08309 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:40:13.115598Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:34:48.867421Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

  • verified exact6
  • verified fuzzy32
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f85a2de9-37ff-4cfa-bd55-3ac407a33d2c · outbound

This paper cites A deep learning energy method for hyperelasticity and viscoelasticity.

Variational volume reconstruction with the Deep Ritz Method A deep learning energy method for hyperelasticity and viscoelasticity

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T22:40:13.457129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:09.097985Z digest=sha256:27d97e3ff7d83a4f44866418ddc140c4f791cc6627c5702e2a30a46ff27d2cc6

Observation e00f914c-0110-40fb-9ed4-64ec2644f225 · outbound

This paper cites Arigovindan, M.

Variational volume reconstruction with the Deep Ritz Method Arigovindan, M

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.893349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:09.154877Z digest=sha256:82500ca196727b550ac00af88b157b38fc32c1ebe89eedb81e48302ecbe79d1d

Observation efe5aba9-3283-4d1c-910f-f6768c2c3691 · outbound

This paper cites Three-dimensional reconstruction of complex shapes based on the Delaunay triangulation.

Variational volume reconstruction with the Deep Ritz Method Three-dimensional reconstruction of complex shapes based on the Delaunay triangulation

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.881820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:09.222329Z digest=sha256:c433f546de3aabdb68aa3229a88cdede270f3646330750475272cb88bac43947

Observation 81c5001d-1737-4c4a-b2d8-02c876315832 · outbound

This paper cites Volume Reconstruction from Slices.

Variational volume reconstruction with the Deep Ritz Method Volume Reconstruction from Slices

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.870170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:09.274623Z digest=sha256:21bd24a38cabe3e90647b9dab89e58b491e4a805b13282e8f919894c17e3cf30

Observation 82371950-8284-461e-b292-f9206c3ba5e2 · outbound

This paper cites Learning phase field mean curvature flows with neural networks.

Variational volume reconstruction with the Deep Ritz Method Learning phase field mean curvature flows with neural networks

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:40:13.435799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:09.336720Z digest=sha256:1a61cf0b2697cd947ec3a04cfd7259fdc3e1dd025165ff759e57a6c1c6a33520

Observation 3968f739-e61f-4365-9101-aed980d98861 · outbound

This paper cites A penalized Allen-Cahn equation for the mean curvature flow of thin structures.

Variational volume reconstruction with the Deep Ritz Method A penalized Allen-Cahn equation for the mean curvature flow of thin structures

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T22:40:09.421273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:40:09.421273Z digest=sha256:37941896c75502a713f4597b6c45a91f901c3d290049385975226aa96c6db7a1

Observation 6d3cfe85-b63e-4d44-bda9-f4271005502a · outbound

This paper cites Variational image segmentation model coupled with image restoration achievements.

Variational volume reconstruction with the Deep Ritz Method Variational image segmentation model coupled with image restoration achievements

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.858603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:09.505348Z digest=sha256:516c5ee09de6ffae0d0efa35a17b16fb8b900b5ebb8a8321e60139cbf700ddb1

Observation 6783c5f7-ba40-46ba-84d1-40cf1a596d89 · outbound

This paper cites an unresolved cited work.

Variational volume reconstruction with the Deep Ritz Method Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-05T22:40:13.847599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:09.578216Z digest=sha256:73dc03183dcf1d629713d73506609f561329b90de8ec3823b050d90fd4b377f8

Observation efb4c909-7206-491a-9ae6-a7f8ebde6ca8 · outbound

This paper cites Introduction to variational image-processing models and applications.

Variational volume reconstruction with the Deep Ritz Method Introduction to variational image-processing models and applications

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T22:40:09.667055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:40:09.667055Z digest=sha256:0929d05703847b1e48379914e2af09caa301a0f9bd73e7ff1e379bffcad3e7a1

Observation 1a9ed17e-3848-49ee-bfa8-4803b2b7ea1f · outbound

This paper cites Existence of equilibria for the cahn-hilliard equation via local minimizers of the perimeter.

Variational volume reconstruction with the Deep Ritz Method Existence of equilibria for the cahn-hilliard equation via local minimizers of the perimeter

Reference 10

Resolution
verified exact
doi, observed 2026-08-05T22:40:13.154566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:09.739525Z digest=sha256:1d785332de13ffc20abaf2a25b56e0b674f15bbb39a43bc5eff69192bd1d4dec

Observation df10f5b1-65f3-4e52-a32a-a767a29f4e95 · outbound

This paper cites Surface Reconstruction from Scattered Point via RBF Interpolation on GPU.

Variational volume reconstruction with the Deep Ritz Method Surface Reconstruction from Scattered Point via RBF Interpolation on GPU

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:40:13.313081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:09.830156Z digest=sha256:f963db163c8c3f393ca3e3c26bc306db246e8010dd32104840fd9afa4af66f72

Observation b3fb651f-2b33-4768-bc7c-711d9cb5f7a1 · outbound

This paper cites Surface Reconstruction from Sparse and Mutually Intersected Contours for Freehand 3D Ultrasound Using Variational Method.

Variational volume reconstruction with the Deep Ritz Method Surface Reconstruction from Sparse and Mutually Intersected Contours for Freehand 3D Ultrasound Using Variational Method

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.835473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:09.896469Z digest=sha256:dd4442566e05f53e04eb53d8bf596c5c7e706ad71b3ed0c53e38d0e36e7545e6

Observation 0df2f3f3-1461-49cb-88f9-c59f00397b21 · outbound

This paper cites Image Super-Resolution Using Deep Convolutional Networks.

Variational volume reconstruction with the Deep Ritz Method Image Super-Resolution Using Deep Convolutional Networks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T22:40:10.006495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:40:10.006495Z digest=sha256:6b8ab05b1acdcdd165a4c330a18aba878e8456881ce300b48157beb3858bbf31

Observation c27d3611-e021-44d7-9985-41930c1338d3 · outbound

This paper cites A level set formulation for Willmore flow.

Variational volume reconstruction with the Deep Ritz Method A level set formulation for Willmore flow

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.823528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:10.067676Z digest=sha256:fc866b8f0416748109be62308eea4edb6622d8904575e2e37e0698b7dfbf9768

Observation 70c6d535-50bf-4fa8-b1a1-3f1a3868fa91 · outbound

This paper cites Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network.

Variational volume reconstruction with the Deep Ritz Method Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.812205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:10.146887Z digest=sha256:a1529a4803aa0f0cd75bc48300518938510b6c5919a803bf284ce06d445c963a

Observation a3fe1c0e-4784-4e5a-af38-736509c57da2 · outbound

This paper cites The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems.

Variational volume reconstruction with the Deep Ritz Method The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T22:40:10.237745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:40:10.237745Z digest=sha256:666a61d9cc8676fd9e53725dff3c6b66734b221da90be6be9a91bb5e33dbb512

Observation bf1bad7e-945c-41d9-9189-3fb3c63eb69d · outbound

This paper cites Miller, Harini Veeraraghavan, Bernd Freisleben, Alexandra J.

Variational volume reconstruction with the Deep Ritz Method Miller, Harini Veeraraghavan, Bernd Freisleben, Alexandra J

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.800289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:10.327703Z digest=sha256:8ad0ccbe099061e2d6288bf3b5e4edc69148f3f9e3751441d6dc3cc432cff130

Observation 7b51389c-c899-4597-889f-6ddaf1233a3b · outbound

This paper cites Colliding Interfaces in Old and New Diffuse-interface Approximations of Willmore-flow.

Variational volume reconstruction with the Deep Ritz Method Colliding Interfaces in Old and New Diffuse-interface Approximations of Willmore-flow

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:40:13.257321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:10.446643Z digest=sha256:b2159634beec230f3bfa66bea1818fdc8bc8b235ca6a8c97d722eddbbb61e762

Observation a658eab1-35e4-4b78-a6f4-075d492a2947 · outbound

This paper cites an unresolved cited work.

Variational volume reconstruction with the Deep Ritz Method Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-05T22:40:13.789141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:10.513295Z digest=sha256:30da6317036f17ef7d6a1c95bd9c1d2ea6892f110ad83008ff10344b15ebd8de

Observation 1823f1bc-5c41-456f-8407-48442f992df5 · outbound

This paper cites Jimack, and René de Borst.

Variational volume reconstruction with the Deep Ritz Method Jimack, and René de Borst

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.777404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:10.595840Z digest=sha256:36bd7f08a95004e67da2727c39e5fa12526b6a43e7a84cea766645037d5c590b

Observation ec89911c-57b7-41c8-80db-f020372608f4 · outbound

This paper cites Giannakopoulos, Matthew J.

Variational volume reconstruction with the Deep Ritz Method Giannakopoulos, Matthew J

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.765932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:10.660579Z digest=sha256:6be2ebe21e2d939b6da6a6358637505f35664adce19527dfc016b1d43a9acbed

Observation 96709d6c-76eb-47e2-8369-d0cd8da6d1db · outbound

This paper cites A simple shape transformation method based on phase-field model.

Variational volume reconstruction with the Deep Ritz Method A simple shape transformation method based on phase-field model

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.753664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:10.750766Z digest=sha256:d82f90e50a953e7203f0f3b5784156a210743fa295a648191481aafa2ff2a8ea

Observation 08768486-0b9c-4e12-a20b-c547a87392b3 · outbound

This paper cites A Variational Approach for Volume -to- Slice Registration.

Variational volume reconstruction with the Deep Ritz Method A Variational Approach for Volume -to- Slice Registration

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.741150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:10.823838Z digest=sha256:3a0bb634533faa491b12275893acbf87f7fe487203f7b66d0845d70462227f04

Observation 6ed39cde-938f-4b78-9d54-ff038e696803 · outbound

This paper cites an unresolved cited work.

Variational volume reconstruction with the Deep Ritz Method Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-05T22:40:13.729592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:10.871941Z digest=sha256:58a424f479190167e2091ac1b4ab2908f6ca8ae0ea803a4946eeb090dbdcfe58

Observation ddc27206-01c6-4291-9836-dd4a319f21e4 · outbound

This paper cites Osher, and R.

Variational volume reconstruction with the Deep Ritz Method Osher, and R

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.717942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:10.954464Z digest=sha256:8868934893b08601137fefaf8d52d34f5ac79f1d888fb923e484b67ac22768a8

Observation 1368cb6f-ba83-4c4e-92b3-8a10dc25b3e5 · outbound

This paper cites C1-continuous Terrain Reconstruction from Sparse Contours.

Variational volume reconstruction with the Deep Ritz Method C1-continuous Terrain Reconstruction from Sparse Contours

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.706025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:11.009566Z digest=sha256:52dce4e3c4b1315ec306cb75e1794272c9fc582de51a8248e592e113b4ce68f6

Observation eaac1a4b-77bf-48d8-86bc-10d9ef15945c · outbound

This paper cites Three-dimensional volume reconstruction from multi-slice data using a shape transformation.

Variational volume reconstruction with the Deep Ritz Method Three-dimensional volume reconstruction from multi-slice data using a shape transformation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.693926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:11.123787Z digest=sha256:eade506d0c4cdce4043018506289a0f6bde15e6dff87be97dec08bb474a085d8

Observation ba34c7fc-74bc-4fc1-9f48-29d224069373 · outbound

This paper cites Accurate Surface Reconstruction in 3D Using Two -dimensional Parallel Cross Sections.

Variational volume reconstruction with the Deep Ritz Method Accurate Surface Reconstruction in 3D Using Two -dimensional Parallel Cross Sections

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.681263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:11.245155Z digest=sha256:4a1aa50e07ce92b4865a1e571eae080fb79d4e0f5fc26d0cfd93782b82c4625e

Observation 07d559a1-3c8c-40bb-bec3-9a3a86bdcc6c · outbound

This paper cites An efficient volume repairing method by using a modified Allen - Cahn equation.

Variational volume reconstruction with the Deep Ritz Method An efficient volume repairing method by using a modified Allen - Cahn equation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.669082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:11.374204Z digest=sha256:85c91fa0645773f3067679508465f27b7021a340d23ef9f69d939b1aa5be6140

Observation 12c58a5d-3f1f-4ee4-8fac-54ab1684a687 · outbound

This paper cites Three-dimensional volume reconstruction from slice data using phase-field models.

Variational volume reconstruction with the Deep Ritz Method Three-dimensional volume reconstruction from slice data using phase-field models

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.657025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:11.481451Z digest=sha256:9caffd80742ebc6f5d484be60a24c228f18dd4fc853f03ee5095f72e4befb9d1

Observation 8a827e8e-1826-430f-9724-b2e5f4f9b91f · outbound

This paper cites Weighted 3D volume reconstruction from series of slice data using a modified Allen – Cahn equation.

Variational volume reconstruction with the Deep Ritz Method Weighted 3D volume reconstruction from series of slice data using a modified Allen – Cahn equation

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.644630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:11.600320Z digest=sha256:571fc95db4560af40a9de32f6158c58c3365b84a9a7a5d895523dfb5979fb60d

Observation ef9be59a-d8d7-476c-acf8-d60a6c2e6940 · outbound

This paper cites Multicomponent volume reconstruction from slice data using a modified multicomponent Cahn – Hilliard system.

Variational volume reconstruction with the Deep Ritz Method Multicomponent volume reconstruction from slice data using a modified multicomponent Cahn – Hilliard system

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.632283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:11.745273Z digest=sha256:d6123849ad581222e210b8f5f2cdd086a65a3460775a9274e46778169dc1a671

Observation 222aa050-2cbc-4d6f-8362-aa3591743cb5 · outbound

This paper cites Measuring three-dimensional tibiofemoral kinematics using dual-slice real-time magnetic resonance imaging.

Variational volume reconstruction with the Deep Ritz Method Measuring three-dimensional tibiofemoral kinematics using dual-slice real-time magnetic resonance imaging

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.620333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:11.900866Z digest=sha256:4e6236c4a927c6ba816f14556b87c4afdf010935b224dbe17a3cd246747bcd61

Observation c92e896a-f828-4d7e-86bd-bc22df9f42e9 · outbound

This paper cites Higher-order multi-scale deep Ritz method for multi-scale problems of authentic composite materials, August 2023.

Variational volume reconstruction with the Deep Ritz Method Higher-order multi-scale deep Ritz method for multi-scale problems of authentic composite materials, August 2023

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.608330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:12.009513Z digest=sha256:5e6c958cd88788bcaae98edf3a9d71ee2f4384c8248ac96297bcbadf4edb9a27

Observation ea7900fd-264e-410a-af6f-6021ee5fdfc4 · outbound

This paper cites Deep Ritz method with adaptive quadrature for linear elasticity.

Variational volume reconstruction with the Deep Ritz Method Deep Ritz method with adaptive quadrature for linear elasticity

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.595840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:12.171383Z digest=sha256:82dfc4a05364b08c970b803a0ee7cb0499adb6ec31c488654bbff752c271d68f

Observation 2744dacd-4495-4dd0-9211-2c857cea71fd · outbound

This paper cites Manav, R.

Variational volume reconstruction with the Deep Ritz Method Manav, R

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.582802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:12.262841Z digest=sha256:8dbf2832ac8bd489cec853060d7348310e815ea7f602cbe5b51e679437c696ee

Observation 4e061e39-ed36-49f2-b573-fbaac6f84230 · outbound

This paper cites NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis.

Variational volume reconstruction with the Deep Ritz Method NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T22:40:12.392720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:40:12.392720Z digest=sha256:1973492bc571ce0aec8134df78f58cb5c8280f4cc3d5e1cdc2796fc7c53aefb2

Observation 95fc97ea-895d-433c-83b0-955a948d504a · outbound

This paper cites Real time 3D reconstruction for enhanced cybersecurity of additive manufacturing processes.

Variational volume reconstruction with the Deep Ritz Method Real time 3D reconstruction for enhanced cybersecurity of additive manufacturing processes

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.570674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:12.477122Z digest=sha256:4eb3848b26c02428bb87b5571222f3824119b6cac12d7c7b80da1232bef4ff96

Observation 40f67a16-c757-4c5b-8964-e92809a03457 · outbound

This paper cites Interpolating Implicit Surfaces From Scattered Surface Data Using Compactly Supported Radial Basis Functions.

Variational volume reconstruction with the Deep Ritz Method Interpolating Implicit Surfaces From Scattered Surface Data Using Compactly Supported Radial Basis Functions

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.558148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:12.606251Z digest=sha256:d7ef1a3cb5f17dfc29c2ef313b63b54e92a48abbfa8e122a71322e6a0df2ddad

Observation ee9d4c52-8438-4bd5-acf2-4e9d72b96c40 · outbound

This paper cites Brain MRI super-resolution using deep 3D convolutional networks.

Variational volume reconstruction with the Deep Ritz Method Brain MRI super-resolution using deep 3D convolutional networks

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.543998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:12.712664Z digest=sha256:41785f647cd46074036d513010cc5687e6b0e1029d58231e84da33b7b3d61fbf

Observation 330f32ad-01a4-40db-8006-58abad10dc20 · outbound

This paper cites A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction.

Variational volume reconstruction with the Deep Ritz Method A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction

Reference 41

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T22:40:13.217618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:12.802119Z digest=sha256:c6b7ef162868eca50bfe739f9536cf714cde4f45fff619c9ba810eb6b7c2f412

Observation 51a62a8a-d5d1-4189-bda2-dcc93835e1aa · outbound

This paper cites Variational methods with application to medical image segmentation: A survey.

Variational volume reconstruction with the Deep Ritz Method Variational methods with application to medical image segmentation: A survey

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.530402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:12.901805Z digest=sha256:06bf5b680887137cbc31d3ef40a5a422e4d42918fac0827fca885a637090b3ee

Observation c59561b8-3f23-4617-b73d-2620dee49d48 · outbound

This paper cites Variational Methods for Image Segmentation.

Variational volume reconstruction with the Deep Ritz Method Variational Methods for Image Segmentation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.515482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:12.953976Z digest=sha256:96bce3abc8bd9baf4b35d8ec8e949629c553cae60d9630f453ddcec15ed5e889

Observation c41453ce-0b66-48ca-9b35-49b48ea6bd20 · outbound

This paper cites Sukumar and Ankit Srivastava.

Variational volume reconstruction with the Deep Ritz Method Sukumar and Ankit Srivastava

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.501143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:13.082796Z digest=sha256:148c9588d8eed8b7f9e7cf9f086c4be3e153c360d9767af74a502f03602fafda

Observation 9fd0d268-f888-40d9-9955-0eed4a43f9ec · outbound

This paper cites Deep variational network for rapid 4D flow MRI reconstruction.

Variational volume reconstruction with the Deep Ritz Method Deep variational network for rapid 4D flow MRI reconstruction

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:40:13.197274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:13.102649Z digest=sha256:7ce4cd2744f4d693675913e696ce8ceae3d3663f4cc98b24c2cd94ffb20add5e

Observation c75c1127-00c2-4f6a-a5c9-e6887539673c · outbound

This paper cites Young, Yaël Balbastre, Bruce Fischl, Polina Golland, and Juan Eugenio Iglesias.

Variational volume reconstruction with the Deep Ritz Method Young, Yaël Balbastre, Bruce Fischl, Polina Golland, and Juan Eugenio Iglesias

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.485660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:13.107384Z digest=sha256:04929b75c9981a93a5f79b49263ae226c7256cdbbdefd0f22d8f082a92f731a8

Observation 79e52bef-9af7-4091-9918-b90fb2a5693c · outbound

This paper cites Super-Resolution Surface Reconstruction from Few Low-Resolution Slices.

Variational volume reconstruction with the Deep Ritz Method Super-Resolution Surface Reconstruction from Few Low-Resolution Slices

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:40:13.175797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:13.111344Z digest=sha256:054b2a7f2956507bf5664636350ce8ff91df6380c775b1687643157a1d39b6c6

Observation 46dc6429-e93e-49cb-9b70-c0f6f758bed8 · outbound

This paper cites Image Segmentation Using Euler ’s Elastica as the Regularization.

Variational volume reconstruction with the Deep Ritz Method Image Segmentation Using Euler ’s Elastica as the Regularization

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:40:13.470772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T22:40:13.115598Z digest=sha256:4eacc57dc61d5b14e01ab7da5e7a66f0dba33548f186c788f2d552cdda551b32

Pith citing papers

Observation 243a5312-46df-40a5-b905-adaa0ff96276 · inbound

Learning Gradient Flow: Using Equation Discovery to Accelerate Engineering Optimization cites this paper.

Learning Gradient Flow: Using Equation Discovery to Accelerate Engineering Optimization Variational volume reconstruction with the Deep Ritz Method

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-02T23:34:48.867421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:34:48.867421Z digest=sha256:5a3e94ed3daccc3198277e608079e1f7040f58f91c6680536ad2e244fc6cfed3