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Paper Citation Record · LEDGER

Sparse Representation Learning for Vessels

As of 4 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2605.01382.

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

pith.paper-citation-record.v1
2605.01382 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-09T15:23:25.114607Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T17:18:58.300303Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T00:17:29.443001Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact3
  • verified fuzzy22
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f4274f6-a0b9-4d03-a151-2c93552b8ccc · outbound

This paper cites an unresolved cited work.

Sparse Representation Learning for Vessels Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-05-26T01:16:27.653608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:aa85d6575879e72fdf10a18d00a7ee9e80d6318564fc001dbdf685f08c317c90

Observation 13c75d72-eacd-4a91-92bd-2f4fd0419491 · outbound

This paper cites In: Proceedings of the MIC- CAI.

Sparse Representation Learning for Vessels In: Proceedings of the MIC- CAI

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.661511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:19157c36c90dbf85b4d0a3fa13dff8b8719d826290b42bba3a832f9ae3486494

Observation 8561e092-66b8-4f13-b492-e8172c6c4732 · outbound

This paper cites Vector Representations of Vessel Trees.

Sparse Representation Learning for Vessels Vector Representations of Vessel Trees

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:41:15.266977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:2060fcc6540709d4cf0fc95f6674887fd1086b52707ee07798de3c0857c7bef8

Observation a5234617-75c9-467d-bcca-7c0372e253d9 · outbound

This paper cites In: Proceedings of the MICCAI.

Sparse Representation Learning for Vessels In: Proceedings of the MICCAI

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.680629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:578603c645facd2fbb10f9970976103ee52106e797f75188434d7f939e39bf2f

Observation 62192496-00d2-4e9a-b1ce-b07082328e94 · outbound

This paper cites In: International Conference on Pattern Recognition.

Sparse Representation Learning for Vessels In: International Conference on Pattern Recognition

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.672424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:41fa736f83119f57d65852440f90e35138b69f3fab5d86ed435dbdb8034860a4

Observation 7021c6f3-a4b6-4321-a11c-2784fa611ac5 · outbound

This paper cites Nature Com- munications16(1), 2262 (2025).

Sparse Representation Learning for Vessels Nature Com- munications16(1), 2262 (2025)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.684072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:95ec65db3c7151bfdb7ee488ed10d1b7bed776bb5a046b8348bfcb6edd5291af

Observation e602161f-c913-4fda-9ca4-6574799948f9 · outbound

This paper cites In: Proceedings of the MICCAI.

Sparse Representation Learning for Vessels In: Proceedings of the MICCAI

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.665121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:9af442858461c78502edc68f866cf81487d8f58dbab7ac150b3d72748289bb74

Observation 74737f7d-3b0d-493e-b378-bf57539a7158 · outbound

This paper cites In: Proceedings of the MICCAI.

Sparse Representation Learning for Vessels In: Proceedings of the MICCAI

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.649706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:11c65cb1d498119b14fc523805ffd9ec96a79da29a5eb18f77fdafbb845a4207

Observation ec2b7443-e445-4166-a016-d76ddd401fe8 · outbound

This paper cites In: 2025 WACV.

Sparse Representation Learning for Vessels In: 2025 WACV

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.657447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:238b01a5a7166b562e82749f935c95193c0e7a026eb51893f864af6a12f05563

Observation bfd5d6a1-db0c-497d-9788-d870dad27054 · outbound

This paper cites In: Medical Imaging with Deep Learning (2025).

Sparse Representation Learning for Vessels In: Medical Imaging with Deep Learning (2025)

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.687453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:06e7de3b9a435ef95c90d99c99c617c06bcbecf87eeb3bafb398e1a37e91358e

Observation e0cc6e3b-d3fc-41f7-9163-cb5167907e59 · outbound

This paper cites In: Medical Imaging with Deep Learning (2024).

Sparse Representation Learning for Vessels In: Medical Imaging with Deep Learning (2024)

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.668867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:de94f9bf0705f81f431f0ffee4d55bb92a86fddb36f74d2746bbcfaf00e6f82e

Observation eecee94a-3c46-4eee-b22f-f70ead0207a0 · outbound

This paper cites The Lancet Digital Health4(4), e256–e265 (2022).

Sparse Representation Learning for Vessels The Lancet Digital Health4(4), e256–e265 (2022)

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.676667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:748c47871ab383c782a942f7e947021d46515445af5137e59afdaff6eb40817d

Observation ee4fb311-f5ba-4e90-91bb-45321afe570b · outbound

This paper cites Flow Matching for Generative Modeling.

Sparse Representation Learning for Vessels Flow Matching for Generative Modeling

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T16:41:15.260125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:d5997274f182046c66e75812a7d4559d29dfe46c22054a2ccb981ed38a3c4959

Observation 0a1e5037-934c-48b4-8bf0-79377fe76052 · outbound

This paper cites Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge.

Sparse Representation Learning for Vessels Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:41:15.254692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:8ea16200e3805d4b1acc980eb0e6cc2acc0a2336b1a338f8ed56c0a6dd5907e6

Observation 6f3f8fe8-56a7-46a5-b6a7-35eba0b3e03b · outbound

This paper cites IEEE transactions on med- ical imaging43(12), 4442–4456 (2024).

Sparse Representation Learning for Vessels IEEE transactions on med- ical imaging43(12), 4442–4456 (2024)

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.625257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:02853ddaa91b0877fbcdcad68821ada67b2b85571c30fea10535c676f1049d3e

Observation 85f1b157-ebe6-4421-8872-4c1539b33cc7 · outbound

This paper cites Medical Image Analysis97, 103253 (2024).

Sparse Representation Learning for Vessels Medical Image Analysis97, 103253 (2024)

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.628898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:64b3be218cc45797ff7ecf7ec34ae677ad72ac17106fc5df9b531c1d96d6f687

Observation 8d8e09a7-323d-4335-842a-2d6e7166af8b · outbound

This paper cites In: Proceedings of the MICCAI.

Sparse Representation Learning for Vessels In: Proceedings of the MICCAI

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.617666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:ddc1fa36dbab0af46524807dd10fb8f5bdbe2b2c1bffbf14ab4d56a3ab7dbd6c

Observation 3026d97e-db01-4532-91fd-0f866d7e2acd · outbound

This paper cites In: Proceed- ings of the MICCAI.

Sparse Representation Learning for Vessels In: Proceed- ings of the MICCAI

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.621286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:09c9105b4c533e036fe4e4a996117c93e19c17249cf6d080e9511f944881acd3

Observation 486c7441-f71e-4f37-ab87-ea5e430b1681 · outbound

This paper cites In: Proceedings of the CVPR.

Sparse Representation Learning for Vessels In: Proceedings of the CVPR

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.632543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:dd01823e090b2be9b64f084d09e5c6a7ddefff47849785030fe91e5f7be725a4

Observation 585b0e91-d733-45fb-92d9-86ded8772b7b · outbound

This paper cites Nature communications11(1), 6090 (2020).

Sparse Representation Learning for Vessels Nature communications11(1), 6090 (2020)

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.635712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:fdffa86fc484fced81ab65437213690e561f9117a9eca6972403fb08466ee465

Observation a7d23619-4c43-412b-84a7-29edeb8393b5 · outbound

This paper cites In: Proceedings of the CVPR.

Sparse Representation Learning for Vessels In: Proceedings of the CVPR

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.639343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:1e9dc506f56c1aa8fd52429417d42453de403da352be15c4b60bac67b2f5225a

Observation 8bc3bbd6-1941-4cc1-a0fe-c3996e68c28e · outbound

This paper cites AeroPath: An airway segmentation benchmark dataset with challenging pathology.

Sparse Representation Learning for Vessels AeroPath: An airway segmentation benchmark dataset with challenging pathology

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:41:15.243265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:424b7f08b0a2ed059199edd81e511efe7cf27a10d5a63204749919cc791cbba7

Observation 8f2840cc-6e4b-4289-a316-db61ef4c4ab3 · outbound

This paper cites In: Proceedings of the MICRO (2023).

Sparse Representation Learning for Vessels In: Proceedings of the MICRO (2023)

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.642581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:7b5e81340009c50b7b43bcab9229d91c7fde911f9bcf2bbcd814fba16d4329ff

Observation 32219292-b237-44b9-858d-b4cdc86656b6 · outbound

This paper cites MedVAE: Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders.

Sparse Representation Learning for Vessels MedVAE: Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:41:15.250731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:fa36ae253fb039bcf800b35df81cf4a4e50b9615fbdbc38fa31317e9d69c2ae6

Observation 2cfee462-c691-4277-afa9-bded1aea0e89 · outbound

This paper cites In: Proceedings of the CVPR.

Sparse Representation Learning for Vessels In: Proceedings of the CVPR

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.646051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:cb8a1c69d269019e9fdb6750d0fd16cea724fe8a2d3872bb680385bc32dd488d

Observation c6d7fe02-56d2-411e-acec-3958c772dfab · outbound

This paper cites Blood Vessel Geometry Synthesis using Generative Adversarial Networks.

Sparse Representation Learning for Vessels Blood Vessel Geometry Synthesis using Generative Adversarial Networks

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:41:36.850885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:0e589d8ba165905b0241967c8c6a5f809e9c3d1cd36f39a3073a74adbd7446d9

Observation 97105440-ed30-4548-925d-3a4d75148303 · outbound

This paper cites Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention.

Sparse Representation Learning for Vessels Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:41:15.234918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:5076e8d29d64bd326700dd05ce9444a502b04f34f7dbb0df81799a679cc09d0b

Observation 016aca9a-629c-4b59-a2e8-c711096bf436 · outbound

This paper cites In: Proceedings of the CVPR.

Sparse Representation Learning for Vessels In: Proceedings of the CVPR

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.606238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:3458745586b161e313ca156704973b2f37328234133a8892e8221011012d6dbe

Observation 46eedbfd-5823-4c9c-88ff-e3f8275bafee · outbound

This paper cites ArXiv pp.

Sparse Representation Learning for Vessels ArXiv pp

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.610387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:eca2b9c29e1e9ab03e8a16e1f3a6b8bfe0d1d397741143e314fe24968bae3571

Observation b7651269-af17-4311-abbd-c4b713f7db6c · outbound

This paper cites Medical image analysis90, 102957 (2023).

Sparse Representation Learning for Vessels Medical image analysis90, 102957 (2023)

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:16:27.613978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:bd2798af21d4bd0e18ba94cabb6abacab36c0ae133df3fff713323c3ddcf5e94

Pith citing papers

Observation 07c23e77-6014-4b63-a621-965571fff196 · inbound

vesselFM-CT: Segmenting All Blood Vessels in CT Images for System-Level Cardiovascular Analysis cites this paper.

vesselFM-CT: Segmenting All Blood Vessels in CT Images for System-Level Cardiovascular Analysis Sparse Representation Learning for Vessels

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-07-03T00:17:29.444765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:18:58.300303Z digest=sha256:1f05fda22ddc83897f6afe1ca00b7b9008c17271b4ada07aad3c198e65ea3940