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Paper Citation Record · LEDGER

Large-Scale 3D Medical Image Pre-training with Geometric Context Priors

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2410.09890.

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

pith.paper-citation-record.v1
2410.09890 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:20:59.888596Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T16:48:02.981325Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 52a8e432-0635-4958-a6b9-f1e9404ed44c · inbound

MG-3D: Multi-Grained Knowledge-Enhanced 3D Medical Vision-Language Pre-training cites this paper.

MG-3D: Multi-Grained Knowledge-Enhanced 3D Medical Vision-Language Pre-training Large-Scale 3D Medical Image Pre-training with Geometric Context Priors

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T20:20:59.888596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:20:59.888596Z digest=sha256:99b50099873ffcd740a0c269d9613c77e51205ec1f8ebac755304c8ba8dd88e2

Observation 5c284d17-4953-4c1f-9a64-63e930725cce · inbound

Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning cites this paper.

Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning Large-Scale 3D Medical Image Pre-training with Geometric Context Priors

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T17:37:06.274266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:37:06.274266Z digest=sha256:204eed43fd830c69f54c23355bff3957beff4b758f9c62833b250ea66dfbedb8

Observation bae2da0c-5672-4ab3-b777-af40d05dc998 · inbound

Vector Contrastive Learning For Pixel-Wise Pretraining In Medical Vision cites this paper.

Vector Contrastive Learning For Pixel-Wise Pretraining In Medical Vision Large-Scale 3D Medical Image Pre-training with Geometric Context Priors

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-06T22:48:17.073905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:48:17.073905Z digest=sha256:3f0e173466f4d46519ebb38a83dab8881f8055ef62eca5b022561c2002f55c22

Observation efaa67a8-eef6-4d53-a52d-f3d9bf2efef7 · inbound

Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models cites this paper.

Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models Large-Scale 3D Medical Image Pre-training with Geometric Context Priors

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T18:29:08.886873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:29:08.886873Z digest=sha256:7b27239e9996b261bc6562156ea6428a346e18c17b57fda0a1caf47abf236cb3

Observation 650f6db8-49e6-4b18-97e8-15dc1764ecea · inbound

Disorder-induced stress-flow misalignment in soft glassy materials revealed using multi-directional shear cites this paper.

Disorder-induced stress-flow misalignment in soft glassy materials revealed using multi-directional shear Large-Scale 3D Medical Image Pre-training with Geometric Context Priors

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T23:25:36.895393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:25:36.895393Z digest=sha256:1dd043cf5a911ac97d5ca8429cadbd659c03b3299d93fa1230c8f4b84d7ff7fc

Observation 8e12d6dd-327f-44d9-9cc6-7acd20a44f22 · inbound

M3Ret: Unleashing Zero-shot Multimodal Medical Image Retrieval via Self-Supervision cites this paper.

M3Ret: Unleashing Zero-shot Multimodal Medical Image Retrieval via Self-Supervision Large-Scale 3D Medical Image Pre-training with Geometric Context Priors

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T12:45:29.444835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:45:29.444835Z digest=sha256:ac80142bc6ef22b56b701b75df1138ccfc5553a5c16234409c3fd0352295b34c

Observation ab21574d-9abb-48bb-94bd-541ebd139116 · inbound

MedSeqFT: Sequential Fine-tuning Foundation Models for 3D Medical Image Segmentation cites this paper.

MedSeqFT: Sequential Fine-tuning Foundation Models for 3D Medical Image Segmentation Large-Scale 3D Medical Image Pre-training with Geometric Context Priors

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T04:32:24.147822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:32:24.147822Z digest=sha256:c6e4ef7db933eb8310df0a2b17a183260d174e4a7d157837e62bcb8d2ed7a305

Observation ff6d103e-2487-49df-b39b-e23e492c0848 · inbound

HU-based Foreground Masking for 3D Medical Masked Image Modeling cites this paper.

HU-based Foreground Masking for 3D Medical Masked Image Modeling Large-Scale 3D Medical Image Pre-training with Geometric Context Priors

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-04T22:06:22.205848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:06:22.205848Z digest=sha256:c7f2c8c099d93621f60c5fd1c4e4f28783cd5e42acee705225f402579f30c3c7

Observation d0548ec9-f78a-46be-8014-d2080ffd97fe · inbound

Intuitions of Machine Learning Researchers about Transfer Learning for Medical Image Classification cites this paper.

Intuitions of Machine Learning Researchers about Transfer Learning for Medical Image Classification Large-Scale 3D Medical Image Pre-training with Geometric Context Priors

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-04T13:23:47.863275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:23:47.863275Z digest=sha256:475aed372519b85d07d21ba9caac7b7d96c6387fe589a86942a950249509f396

Observation b3b3f7a4-e3bc-4563-b1e4-e049acd61cc4 · inbound

Revisiting 2D Foundation Models for Scalable 3D Medical Image Classification cites this paper.

Revisiting 2D Foundation Models for Scalable 3D Medical Image Classification Large-Scale 3D Medical Image Pre-training with Geometric Context Priors

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-03T16:36:37.018100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:36:37.018100Z digest=sha256:2d05df1847207f52f2fe121c04242225d8fdc541996462755c59398a3e6fa589

Observation 7adc6c35-8264-4fc0-a4f8-04157da01e3b · inbound

Uncertainty-Aware Foundation Models for Clinical Data cites this paper.

Uncertainty-Aware Foundation Models for Clinical Data Large-Scale 3D Medical Image Pre-training with Geometric Context Priors

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:48:02.982897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T16:46:27.736570Z digest=sha256:67488aeab1287cdba1417bb65026248285d503858813d04ebac79b10bc725c01

Observation 9cac5a0d-1e7d-4c3e-8f40-b05ad7b5296a · inbound

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR cites this paper.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Large-Scale 3D Medical Image Pre-training with Geometric Context Priors

Reference 63

Resolution
unresolved
no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T11:03:20.369425Z digest=sha256:bdc6b3392c1e77e19b1f704c8220db23b793fc79620f4aecf6b34c715e87382e