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Paper Citation Record · LEDGER

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis

As of 17 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 2026-08-17T06:30:58.91139+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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  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

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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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T11:11:44.872477Z digest=sha256:ac8620b69974beee79b7586795812f45ec712b272cd869dd9472dba20bf33a6a

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:c1fdb192bd3f790654295243a888053c18484d8e61b7f87a701e6a9304fcbbc3

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:cf0de2991deaa3fdc2ab31953ed5e9af90b169222e70064c5c4d7cd65e9c2389

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=pdf_text observed=2026-08-05T11:11:44.900501Z digest=sha256:559dca660525386ae86e8359939a3aa0f16ce0341e9a76e890672a0f5339f357

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=sha256:7f200654ddb224589d621bb10a544ff297a4aceb718ab1491b35087dc9ffe26f

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=sha256:4664cc6dffe491b0557cfd45ddb617415d38761b09e9143cc9116d376ab8cf81

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=sha256:6b427412f108ac5dac5ff3bb809a976588755bb71ce0a3e1fea65763e032d1b3

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:bc818c6324d272dfa6f5058252be40eb6d23116b81063f409dfe42c2a7fb282d

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=sha256:6b64fdbee857d98bc0c6a7b4d894770300b11f9e5a6612d0d309e90b5bfd9a5a

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=sha256:504da377168a6c9807384cce7a93badb726ac76af9e7aea3bac7674c5c28d088

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=sha256:8bf7eef9d7bb381f1332a0ec944d1a928c9c6d7413dd937c15f9ac1ad40fa304

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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source=pdf_text observed=2026-08-05T11:11:44.964210Z digest=sha256:7406722a3426ed1873fc6f7a35f589226b19a6c84e906cb893db626b62fcd659

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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source=pdf_text observed=2026-08-05T11:11:44.950988Z digest=sha256:c8876feeec3b32a4ef334e8c15fb09641620f7d1931abcf0195468d4095fe709

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=sha256:41df5b10cffedd7adf1d6e07e3cf208fa5bcc67302aeb6817582bbfc36fd75ff

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=sha256:10ad241b0da929380329bc0d4e9e9b5a97773a2d0ed6f5a53f1d6acc9bc796ad

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=sha256:29676e1c73657fb6ad53ce034f7a2cebf9c9ccbf4eb6819eab3f3a91a8b2905a

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=sha256:21a1dfe31163499b892f441e4b21d8ba218c151ff0bd018ede24b6f0540b4e72

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:aa89fbcbc228ca38236a863e7839b7a4e1048b91f4940610511e847c0f55a3c5

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=sha256:9b84244801b2fa0f69cbc687c532d207bebab07335461c8ba4c16c0b0238b2ee

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=sha256:6c335a6cfa9c9ee2b293203fc2aa7159fa74df516db0b212445ee3726e3ae668

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=sha256:3fc15b759db8c7b6fb6922a152700fda93b2db7f613b0d020758ac7ae1ca0bf2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T11:11:44.882046Z digest=sha256:156630e7753998e2a01bad6ce12c00e3be9fa9123be0f0234488ce1781f1efda

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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Pith citing papers

No inbound Pith citation observations are available.