Paper Citation Record · LEDGER

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model

As of 22 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 2 inbound Pith citation observations for arXiv:2505.04119.

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

pith.paper-citation-record.v1
2505.04119 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:40:48.858506Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:08:17.393721Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T18:08:17.775329Z

Reference resolution

42 of 42 outbound references displayed

verified exact0
verified fuzzy19
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e37015b-d16d-44e2-b1ee-aa2dc53b8db6 · outbound

This paper cites Pointgpt: Auto-regressively generative pre-training from point clouds.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Pointgpt: Auto-regressively generative pre-training from point clouds

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:40:49.329636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 628b75e0-1dcd-45a4-a111-c6a41033a50d · outbound

This paper cites Adaptformer: Adapting vision transformers for scalable visual recognition.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Adaptformer: Adapting vision transformers for scalable visual recognition

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.707128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57554028-4f40-4647-a38a-656e198f9bb5 · outbound

This paper cites Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.710891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4efbd89c-28f1-4eca-8bbf-950b6c49a51d · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model An image is worth 16x16 words: Transformers for image recognition at scale

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.715743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e1b9d53-652a-4023-b76e-ef01c09ab5c3 · outbound

This paper cites Towards a Unified View of Parameter-Efficient Transfer Learning.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.719516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce1e215b-998e-4c68-bb11-1fd0f5281eea · outbound

This paper cites Parameter-efficient transfer learning for nlp.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Parameter-efficient transfer learning for nlp

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.723481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ae309ae-3877-425a-8d07-9386c1e38112 · outbound

This paper cites W., Ouyang, W., and Zuo, W.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model W., Ouyang, W., and Zuo, W

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:40:49.298438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9e5e375d-d717-448a-a9a5-75bf8d9f8cc1 · outbound

This paper cites Visual prompt tuning.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Visual prompt tuning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.731027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d11663d-d0d6-4572-a7e4-949d717d6bd3 · outbound

This paper cites and Deng, Z.-H.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model and Deng, Z.-H

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:40:49.281166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 779dac58-8c6f-435b-aab0-9a22371491e9 · outbound

This paper cites Compacter: Efficient low-rank hypercomplex adapter layers.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Compacter: Efficient low-rank hypercomplex adapter layers

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.738745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52f37678-8331-423a-9978-fe4b7e342c87 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.742645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d19e0bb-ad2b-4aaa-b1b1-cadca7b2fcba · outbound

This paper cites and Zhou, J.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model and Zhou, J

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:40:49.263514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c03f9d14-afc7-4c3c-8f01-47ff23d9128a · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.750302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cd4ebe4-e610-410b-9ffb-6acb764847ce · outbound

This paper cites Scaling & shifting your features: A new baseline for efficient model tuning.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Scaling & shifting your features: A new baseline for efficient model tuning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:40:49.253262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 938b23b9-e893-4a98-b396-505524d2ac28 · outbound

This paper cites an unresolved cited work.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.757656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7ae335e-5943-4e27-a4d0-c310db99609a · outbound

This paper cites Relation-shape convolutional neural network for point cloud analysis.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Relation-shape convolutional neural network for point cloud analysis

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:40:49.235594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bd815903-6b34-4d46-89d0-8dff0cf21dae · outbound

This paper cites Insvp: Efficient instance visual prompting from image itself.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Insvp: Efficient instance visual prompting from image itself

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:40:49.224584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6a0ccebc-ab22-49e5-9979-6b77c9c8a42f · outbound

This paper cites and Hutter, F.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model and Hutter, F

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.767717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d09e6803-a07e-4867-a59d-a4b1361315af · outbound

This paper cites and Hutter, F.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model and Hutter, F

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.771649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fd0c85c-c256-41f3-8ec0-d19ea288b760 · outbound

This paper cites Scaffold-gs: Structured 3d gaussians for view-adaptive rendering.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Scaffold-gs: Structured 3d gaussians for view-adaptive rendering

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:40:49.200574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 88fdcfc6-a614-405f-9703-cb346b772c42 · outbound

This paper cites E., Liu, W., Tian, Y., and Yuan, L.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model E., Liu, W., Tian, Y., and Yuan, L

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:40:49.189409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6b4efa46-27f4-4a26-add3-416ea6ff7691 · outbound

This paper cites V., Le Nguyen, M., Nguyen, Y.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model V., Le Nguyen, M., Nguyen, Y

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:40:49.178959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 14cdd5a7-462d-472b-ad27-1b62c417a652 · outbound

This paper cites R., Su, H., Mo, K., and Guibas, L.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model R., Su, H., Mo, K., and Guibas, L

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.787351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9eccb94-cc95-497a-8606-db8218b798d3 · outbound

This paper cites R., Yi, L., Su, H., and Guibas, L.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model R., Yi, L., Su, H., and Guibas, L

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.790985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f610ae6-4188-4b87-ae52-246845e44aef · outbound

This paper cites Contrast with reconstruct: Contrastive 3d representation learning guided by generative pretraining.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Contrast with reconstruct: Contrastive 3d representation learning guided by generative pretraining

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:40:49.155616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cda32896-48e4-4cfe-8f12-35501683e3cb · outbound

This paper cites ShapeLLM: Universal 3D Object Understanding for Embodied Interaction.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model ShapeLLM: Universal 3D Object Understanding for Embodied Interaction

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.798058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5ef8232-278c-4d68-bd3c-22d98978718a · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Dropout: a simple way to prevent neural networks from overfitting

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.801982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd82b873-3407-4a3a-9acc-32ab6e9d2944 · outbound

This paper cites Point-peft: Parameter-efficient fine-tuning for 3d pre-trained models.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Point-peft: Parameter-efficient fine-tuning for 3d pre-trained models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:40:49.137100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d8283d97-aea8-42bf-8f2d-e8fa45ffa924 · outbound

This paper cites A., Pham, Q.-H., Hua, B.-S., Nguyen, T., and Yeung, S.-K.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model A., Pham, Q.-H., Hua, B.-S., Nguyen, T., and Yeung, S.-K

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.809382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 608c4c0f-1ca2-4e42-a0b1-e67225565129 · outbound

This paper cites and Hinton, G.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model and Hinton, G

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.812855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa12cc08-9765-4a37-9394-f3556f030833 · outbound

This paper cites an unresolved cited work.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:40:49.112448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0465abec-6dcd-4c83-ab30-44949c77ec76 · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model 3d shapenets: A deep representation for volumetric shapes

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.820013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b297200f-d676-4fcd-8fa8-f647d471b189 · outbound

This paper cites Point-nerf: Point-based neural radiance fields.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Point-nerf: Point-based neural radiance fields

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:40:49.095339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9a0ae41a-bbfc-4721-8d4d-e6c4b6760a05 · outbound

This paper cites Point-bert: Pre-training 3d point cloud transformers with masked point modeling.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Point-bert: Pre-training 3d point cloud transformers with masked point modeling

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.827662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e4fa959-c8be-43cd-85b6-05b575e78ce8 · outbound

This paper cites B., Ravfogel, S., and Goldberg, Y.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model B., Ravfogel, S., and Goldberg, Y

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.831553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 438bb6fb-8dd7-4fc6-8259-09c6e9c15f14 · outbound

This paper cites Instance-aware dynamic prompt tuning for pre-trained point cloud models.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Instance-aware dynamic prompt tuning for pre-trained point cloud models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:40:49.077560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8cc639c3-225a-4146-8087-3acc758001db · outbound

This paper cites Towards compact 3d representations via point feature enhancement masked autoencoders.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Towards compact 3d representations via point feature enhancement masked autoencoders

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:40:49.064588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2a855b34-5b7a-48e1-a9ca-8ac7c341800f · outbound

This paper cites Point-m2ae: multi-scale masked autoencoders for hierarchical point cloud pre-training.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Point-m2ae: multi-scale masked autoencoders for hierarchical point cloud pre-training

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:40:49.052867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d3cb803d-59ef-4908-9c61-57dd92334ac2 · outbound

This paper cites Pnerfloc: Visual localization with point-based neural radiance fields.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Pnerfloc: Visual localization with point-based neural radiance fields

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:40:49.039411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 60ae329c-6422-449e-a7d6-a7633e6a2ead · outbound

This paper cites Dynamic adapter meets prompt tuning: Parameter-efficient transfer learning for point cloud analysis.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Dynamic adapter meets prompt tuning: Parameter-efficient transfer learning for point cloud analysis

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:40:49.028200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 110af22e-1689-43a8-86cb-49d090802409 · outbound

This paper cites Pointclip v2: Prompting clip and gpt for powerful 3d open-world learning.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Pointclip v2: Prompting clip and gpt for powerful 3d open-world learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:40:49.016917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 464be225-3729-4b2f-98eb-9c60a9ad7b50 · outbound

This paper cites write newline.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model write newline

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.858506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 831da27f-0c57-425d-9633-4331edbe5310 · inbound

UPP: Unified Point-Level Prompting for Robust Point Cloud Analysis cites this paper.

UPP: Unified Point-Level Prompting for Robust Point Cloud Analysis GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:08:17.780462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7e675dd5-ff7e-426d-b9d4-9b69e9623cd4 · inbound

Fast 3D Foundation Model Initialized Gaussian Splatting cites this paper.

Fast 3D Foundation Model Initialized Gaussian Splatting GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T04:07:24.338434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.