Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:23:55.435835Z
Paper Citation Record · LEDGER
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models
As of 21 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2501.09046.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
59 of 59 outbound references displayed
- verified exact1
- verified fuzzy29
- unresolved29
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1c81c655-f4ed-4ebe-92c6-e81b474cc7ee · outbound
This paper cites Okrainec, D.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Okrainec, D
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:56.119376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 72375d56-43fa-4ef6-9cd3-2f32cc146c0c · outbound
This paper cites Libby, P.
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:56.108346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d96c866f-ab41-45b5-b93e-17ba3228c78c · outbound
This paper cites an unresolved cited work.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:23:56.096790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 670381c4-e60c-41b9-b099-adead7095f3c · outbound
This paper cites an unresolved cited work.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:23:56.085671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation fae42bd4-3be1-44d1-803d-35ff529db230 · outbound
This paper cites an unresolved cited work.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:23:56.075285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f0403b95-ae23-4fc7-9289-a80c0e1c01bb · outbound
This paper cites an unresolved cited work.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:23:56.064944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8dfe498b-5533-4006-9c28-134ac69e5818 · outbound
This paper cites an unresolved cited work.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:23:56.055075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c36f6975-86aa-4497-9327-5c83e0e65cbb · outbound
This paper cites an unresolved cited work.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:23:56.044825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a22dc39a-86a7-4513-b635-cf18009409f4 · outbound
This paper cites an unresolved cited work.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:23:56.033160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b7c00f88-05ff-4c14-9c2b-9a582716b723 · outbound
This paper cites an unresolved cited work.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:23:56.021101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 512c335d-e48b-445b-b8cf-e16c94711510 · outbound
This paper cites Coenen, M.
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:56.009439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation adf3a574-5b27-4c36-8aee-b6f0b2d063c7 · outbound
This paper cites an unresolved cited work.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:23:55.997619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8322b0f1-574a-475c-b8bf-3f49e3ca94bb · outbound
This paper cites Candreva, G.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Candreva, G
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.986542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6e75092d-abc0-44bc-a3ea-b552651aa418 · outbound
This paper cites Zhong, J.-M.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Zhong, J.-M
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.975299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7b035c5c-98fc-478d-94d0-35916ab80fc3 · outbound
This paper cites Bezerra, P.
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.963768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ca286366-c0cd-49ef-ab73-a18e4d67589b · outbound
This paper cites Boileau, S.
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.952646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6a8aee24-c787-4977-abd7-d568d954aa5f · outbound
This paper cites an unresolved cited work.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:23:55.942266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2bf09fbc-4328-4a1c-8ec4-c70085309462 · outbound
This paper cites Grande Guti ´errez, T.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Grande Guti ´errez, T
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.930830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 221f219e-299c-41d9-b0d8-4c1c6a1ab12b · outbound
This paper cites an unresolved cited work.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:23:55.918666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 47e43194-9cfe-4813-9a6d-e8d32387146a · outbound
This paper cites Sankaran, H.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Sankaran, H
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.906169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation cf9e092f-a6e6-4898-9f3d-a5a1c781c77e · outbound
This paper cites Valen-Sendstad, A.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Valen-Sendstad, A
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.894639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 70406d41-4cec-4d35-b25d-e8ad31db40d0 · outbound
This paper cites Nannini, S.
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.883342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 883d0964-573d-4ae6-954e-46b4b46ca4ca · outbound
This paper cites Nannini, S.
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.872101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9ad1efad-6140-496e-98b9-0798685d21d9 · outbound
This paper cites Gu, X.-C.
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.860870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1246d203-da40-4b2d-91c3-ceb360cc3723 · outbound
This paper cites Gharleghi, D.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Gharleghi, D
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.850212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f80f76a5-620d-4b89-86c1-58462e4f281d · outbound
This paper cites Saitta, F.
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.840045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 071c2dc8-5474-4f76-9d9c-65ea2034e538 · outbound
This paper cites SIRE: scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models SIRE: scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T20:23:55.534513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation fd25fd0f-b554-447f-a35b-7952cbc7ca7b · outbound
This paper cites an unresolved cited work.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:23:55.830310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a8d2de38-a064-4762-803a-e5add938d47c · outbound
This paper cites Su, J.-M.
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.819708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a83959e1-d526-41b9-8df3-56fec2e8fb4c · outbound
This paper cites an unresolved cited work.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:23:55.808997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 825b25e5-32c2-4696-abe6-9468c45c0986 · outbound
This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:23:55.326713Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a394211-4f7e-49ca-b281-fcd14123720b · outbound
This paper cites Rygiel, P.
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.797929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8b11d5ad-7dc1-446e-9f53-45e61645e967 · outbound
This paper cites an unresolved cited work.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:23:55.787088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e5486302-4454-4d96-b7b0-7f38de867d5c · outbound
This paper cites Zhang, B.
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.776076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b5992e07-5698-4439-928c-532d1f95eaf3 · outbound
This paper cites an unresolved cited work.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:23:55.763779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ca8eeb25-89f2-4443-863a-32f8c70179c5 · outbound
This paper cites an unresolved cited work.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:23:55.752066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 387b5df4-1a7b-4e26-80be-9b6674b337fb · outbound
This paper cites Brehmer, P.
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.741027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5de1a6c7-91dc-496c-b74e-ec349d15a9d3 · outbound
This paper cites Pegolotti, M.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Pegolotti, M
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.730080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 862d0113-5432-4dc8-855e-9286a488d53d · outbound
This paper cites Gharleghi, A.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Gharleghi, A
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.719139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9816888b-e489-4ffa-b680-b0e1da1b503a · outbound
This paper cites an unresolved cited work.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Unresolved cited work
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:23:55.360695Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4d87143-f7de-46aa-905c-fb8ae0db737b · outbound
This paper cites Sharp, S.
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.700571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0e14939d-a766-4ff7-828b-9fd5ba014c2a · outbound
This paper cites Wiersma, A.
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.688999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 43dc855a-5200-4ebb-9dbc-c05a4285b811 · outbound
This paper cites Updegrove, N.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Updegrove, N
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.677060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d966f22d-336c-46f5-b8ee-fecd54dd5cde · outbound
This paper cites Fedorov, R.
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.663343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation eef2543b-d33a-41d2-ab23-256eb987d99d · outbound
This paper cites Pontone, S.
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.651244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 89e608fc-b8ba-47e8-b392-b8a7161b0b34 · outbound
This paper cites Paszke, S.
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:23:55.383148Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6021993e-f68c-4124-a0ed-5e94edd33f48 · outbound
This paper cites Fast Graph Representation Learning with PyTorch Geometric.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Fast Graph Representation Learning with PyTorch Geometric
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:23:55.386989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b59858c8-baa9-4b5d-83df-324d9bcecf4a · outbound
This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:23:55.391310Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18336bde-1dce-4264-ac4c-6e309ba0f84e · outbound
This paper cites Empirical Evaluation of Rectified Activations in Convolutional Network.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:23:55.395868Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0169f4f4-124a-4f1a-b000-e1df3efb231d · outbound
This paper cites Piccinelli, A.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Piccinelli, A
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.631409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d16f0ca7-dc7e-411a-a7c3-c3c4711fbbe8 · outbound
This paper cites an unresolved cited work.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:23:55.619866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 661a51bb-2e8b-4ac8-b36e-063bee6903a1 · outbound
This paper cites an unresolved cited work.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:23:55.607813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d75bf1c1-b2f9-4398-8b19-7dd5b6563b5f · outbound
This paper cites Aubry, U.
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.595937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e8726151-87eb-47c3-9a49-5dd78e2a1105 · outbound
This paper cites Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:23:55.415225Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 993b4391-aa60-4fbd-8542-f587cc22acf8 · outbound
This paper cites Virtanen, R.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Virtanen, R
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:23:55.419489Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4839d7e8-3f6f-4621-8b09-71bc4b2bf619 · outbound
This paper cites an unresolved cited work.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:23:55.576726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1afe9949-28e4-422a-9786-38e10a564ef9 · outbound
This paper cites an unresolved cited work.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Unresolved cited work
Reference 57
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:23:55.566147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 45847886-5b16-411d-9b5a-3f23be7f3975 · outbound
This paper cites Vaswani, Attention is all you need, Advances in Neural Information Processing Systems (2017).
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Vaswani, Attention is all you need, Advances in Neural Information Processing Systems (2017)
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:23:55.431914Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c228152c-2481-445d-94ac-c17c0df79298 · outbound
This paper cites Ronneberger, P.
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Ronneberger, P
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:23:55.548001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
No inbound Pith citation observations are available.