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Paper Citation Record · LEDGER

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis

As of 21 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2509.03095.

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

pith.paper-citation-record.v1
2509.03095 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:11:44.964210Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

23 of 23 outbound references displayed

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External citation measurements

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Outbound references

Observation a5b0d51f-20e4-410a-afa4-c83cda493248 · outbound

This paper cites Amirhossein Arzani, Jian-Xun Wang, and Roshan M.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis Amirhossein Arzani, Jian-Xun Wang, and Roshan M

Reference 3

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metadata mismatch
raw_fallback, observed 2026-08-05T11:11:45.559318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T11:11:44.872477Z digest=sha256:bfe67c29e866794380a369dc918fc44453908e37b4b75a2340cf812002fd93d3

Observation b910eaf1-fd9f-4c60-9e9f-537668db28df · outbound

This paper cites doi: 10.1063/5.0055600.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis doi: 10.1063/5.0055600

Reference 4

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source=pdf_text observed=2026-08-05T11:11:44.877221Z digest=sha256:c6834b9d75d3df00bc0c1dd7bbf0c112160a18a3eb0a12316d8bedceb9bf85a7

Observation 1e862c9d-290f-4a2d-ab9d-411f31317b7c · outbound

This paper cites Learning Mesh-Based Simulation with Graph Networks.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis Learning Mesh-Based Simulation with Graph Networks

Reference 7

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source=pdf_text observed=2026-08-05T11:11:44.891252Z digest=sha256:a37df8b178ede6514eb1fe280304d35a4accfc2ce8e09362191ce85a2bc6db34

Observation 2c6d2495-70bf-437b-be09-fca022ab1725 · outbound

This paper cites Hanxiao Jiang, Hao-Yu Hsu, Kaifeng Zhang, Hsin-Ni Yu, Shenlong Wang, and Yunzhu Li.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis Hanxiao Jiang, Hao-Yu Hsu, Kaifeng Zhang, Hsin-Ni Yu, Shenlong Wang, and Yunzhu Li

Reference 9

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T11:11:44.900501Z digest=sha256:f48c559715d981e6437709d601882a84c78998c95246cf470660831598a7154f

Observation 8764fdf1-f101-46b2-9453-bbe88b2ee5f7 · outbound

This paper cites PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos

Reference 10

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source=pdf_text observed=2026-08-05T11:11:44.904843Z digest=sha256:9d8a47ed15357301973ae625c624525f720ba51c3bc3c5c3212dc31791772822

Observation a009de3a-7748-4d77-8b87-58c17ecc05f6 · outbound

This paper cites Objaverse-XL: A Universe of 10M+ 3D Objects.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis Objaverse-XL: A Universe of 10M+ 3D Objects

Reference 11

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source=pdf_text observed=2026-08-05T11:11:44.909692Z digest=sha256:cc5530fbfc7e4c7dcf2f3998b4a614c48774189fbc151475acce167f7b3c4b51

Observation bdca218d-045c-4ece-b8ea-39264e56eb56 · outbound

This paper cites Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation

Reference 14

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source=pdf_text observed=2026-08-05T11:11:44.923415Z digest=sha256:6810ad1175597dc81d9c421df6e551264980f56326b5a99945254212a5aa3e3c

Observation f8075aa2-25db-4cb6-aa26-49aa6326889a · outbound

This paper cites PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Reference 16

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source=pdf_text observed=2026-08-05T11:11:44.933046Z digest=sha256:2a69908c54377c0346946855acab83298fbfdcbdb6743a980207e67d95e50b3a

Observation dffd8db7-e808-4656-9787-243aa4f31364 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis DINOv2: Learning Robust Visual Features without Supervision

Reference 18

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source=pdf_text observed=2026-08-05T11:11:44.941879Z digest=sha256:ac8d25f6f4c746aa0e28ef531dc7f56e1978e68dcc3102f10f61d9788ee003af

Observation 7e4df6ce-6363-4111-9014-f2daf2b8bdfc · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 19

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source=pdf_text observed=2026-08-05T11:11:44.946092Z digest=sha256:2e4f19977b6d0b7cd4b710d3e550180b14526f4d9606a632f4975956a369d4c7

Observation a28083f2-ae66-4c72-97dc-3d3605ecaa21 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis Gaussian Error Linear Units (GELUs)

Reference 22

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source=pdf_text observed=2026-08-05T11:11:44.959782Z digest=sha256:d9ebbb1729713b39ed338827096a54875724b8859660d2f514f82ddca00cb7eb

Observation 8e60b159-c744-4baa-8f00-7ec3d0a8cdfc · outbound

This paper cites Root Mean Square Layer Normalization.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis Root Mean Square Layer Normalization

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:11:44.964210Z digest=sha256:a6e5ca88d077c7aa5a73013d10751f8051b7d408239efb7f039d4ccbee3127f8

Observation 69b0380b-69b2-4839-8cb5-c067b464526d · outbound

This paper cites Ilya Loshchilov and Frank Hutter.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis Ilya Loshchilov and Frank Hutter

Reference 2015

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unresolved
no resolver link, observed 2026-08-05T11:11:44.950988Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:11:44.950988Z digest=sha256:a5811c257bf61bdf5b87d34e7893471e13a4b3e8a395b6b9e8151129b156463d

Observation 9040a391-d2f1-4bbd-bde2-d02559f27af1 · outbound

This paper cites PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Reference 2016

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source=pdf_text observed=2026-08-05T11:11:44.928492Z digest=sha256:6ac97b49c27b4e95a5c2780e5d5f0c50a0cf0f57c76a641136e6f3e4f153f3a2

Observation c5a5009f-0b40-4c24-91e4-52e83c766479 · outbound

This paper cites Structured 3D Latents for Scalable and Versatile 3D Generation.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis Structured 3D Latents for Scalable and Versatile 3D Generation

Reference 2017

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source=pdf_text observed=2026-08-05T11:11:44.895857Z digest=sha256:50e5682427cd7bd6f018816168fac5f1751ab31255136c8f7e1b9e3e804e249b

Observation d767d2fb-8d6e-455f-889a-2b86b123091f · outbound

This paper cites PointConv: Deep Convolutional Networks on 3D Point Clouds.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis PointConv: Deep Convolutional Networks on 3D Point Clouds

Reference 2018

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source=pdf_text observed=2026-08-05T11:11:44.937614Z digest=sha256:0ab8dac499005079275eeb018ec93938f7efca6f0890b2a83b97e0b39dd3557b

Observation 038e8114-3102-49cf-ab8f-61aaff9fdd41 · outbound

This paper cites Decoupled Weight Decay Regularization.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis Decoupled Weight Decay Regularization

Reference 2019

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source=pdf_text observed=2026-08-05T11:11:44.955388Z digest=sha256:c749f2a4a95ec40db84f991643030689aca1787e25e91ee5ac61ffa821ac36e4

Observation 7ba21277-f91b-44ce-9685-27af7b1d4a8b · outbound

This paper cites 3D-FUTURE: 3D Furniture shape with TextURE.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis 3D-FUTURE: 3D Furniture shape with TextURE

Reference 2020

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source=pdf_text observed=2026-08-05T11:11:44.918634Z digest=sha256:ac8850aca99d3aa25175bbf0078d150ee65e8e6c1b32a23314b04f585deede4c

Observation 5e187151-d6ad-4983-94c2-6e69eb6087b3 · outbound

This paper cites 3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis 3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis

Reference 2021

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source=pdf_text observed=2026-08-05T11:11:44.867455Z digest=sha256:f9a3761c97e8544421758d9a9bf6fb57eeee32bdf0441e16fcd179c6bdd6f5a0

Observation 71edb699-65d5-43c1-9a9a-a1c1883816ea · outbound

This paper cites ABO: Dataset and Benchmarks for Real-World 3D Object Understanding.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis ABO: Dataset and Benchmarks for Real-World 3D Object Understanding

Reference 2022

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source=pdf_text observed=2026-08-05T11:11:44.914042Z digest=sha256:3c28fdc2276497717cf52cd8e62c6eb30972ecd46f4cd6d9d3a09a86a202d59f

Observation c5e93627-f4af-4aee-9b15-6c196c704af7 · outbound

This paper cites doi: 10.1038/s41597-022-01721-8.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis doi: 10.1038/s41597-022-01721-8

Reference 2023

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source=pdf_text observed=2026-08-05T11:11:44.862266Z digest=sha256:275addd7717b997265e77c43c9e5e6dc122c187231cafc37a26329f06cc7e0a9

Observation 6ef4daf8-872b-48f9-91c4-66da7121efbd · outbound

This paper cites doi: 10.1016/j.compbiomed.2024.108328.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis doi: 10.1016/j.compbiomed.2024.108328

Reference 2024

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T11:11:44.882046Z digest=sha256:061a8acb22562e1c05d3475785bf9b1bae81748863c55cccab13c2867fc07a8a

Observation c65126bf-d0ae-4696-9d8e-36672874acf3 · outbound

This paper cites Training Transformers for Mesh-Based Simulations.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis Training Transformers for Mesh-Based Simulations

Reference 2025

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source=pdf_text observed=2026-08-05T11:11:44.886411Z digest=sha256:59e53be582cea2c8b42238f2b65c0837e0fa76b553be69f1b57ccbd7bc5add0a

Pith citing papers

No inbound Pith citation observations are available.