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Paper Citation Record · LEDGER

Deformation-based In-Context Learning for Point Cloud Understanding

As of 5 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2604.02845.

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

pith.paper-citation-record.v1
2604.02845 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T19:57:08.451707Z

measured 54 of 54 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 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

54 of 54 outbound references displayed

  • verified exact14
  • verified fuzzy38
  • unresolved0
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 64afaeba-8895-41c4-8dc4-da4cf6d988ad · outbound

This paper cites Layer Normalization.

Deformation-based In-Context Learning for Point Cloud Understanding Layer Normalization

Reference 1

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verified exact
local_arxiv, observed 2026-05-13T19:58:12.013737Z

Source-reported events for the cited work

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Observation c3ebb607-bf75-4d11-bf16-4b828ae22dfe · outbound

This paper cites Visual prompting via image inpaint- ing.NeurIPS, 35:25005–25017.

Deformation-based In-Context Learning for Point Cloud Understanding Visual prompting via image inpaint- ing.NeurIPS, 35:25005–25017

Reference 2

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raw_fallback, observed 2026-05-13T19:58:12.873030Z

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

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Observation 1f2fac81-66a8-43aa-a5c3-751bc214ef92 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

Deformation-based In-Context Learning for Point Cloud Understanding $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 3

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local_arxiv, observed 2026-05-13T19:58:12.029637Z

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

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Observation 35ca9223-c8e8-4a0c-bf0f-2d77877de4c4 · outbound

This paper cites Language models are few-shot learners.NeurIPS, 33:1877– 1901.

Deformation-based In-Context Learning for Point Cloud Understanding Language models are few-shot learners.NeurIPS, 33:1877– 1901

Reference 4

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raw_fallback, observed 2026-05-13T19:58:12.866624Z

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=2026-05-13T19:57:08.451707Z digest=sha256:3142d6c5f48c211e7c486c3eccd65022a35f5f326e2c32e8317b60f18cb868e8

Observation 8a750be4-831d-45fb-a51b-6e101a74248f · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Deformation-based In-Context Learning for Point Cloud Understanding ShapeNet: An Information-Rich 3D Model Repository

Reference 5

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local_arxiv, observed 2026-05-13T19:58:12.023161Z

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=2026-05-13T19:57:08.451707Z digest=sha256:c5e0651f24c3d745abe3979ac5575c87bc95d7875aad9589946e7912c50046b4

Observation 3102799f-4600-44b9-ac9d-349a4beddb0e · outbound

This paper cites End-to-end autonomous driving: Challenges and frontiers.IEEE TPAMI.

Deformation-based In-Context Learning for Point Cloud Understanding End-to-end autonomous driving: Challenges and frontiers.IEEE TPAMI

Reference 6

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raw_fallback, observed 2026-05-13T19:58:12.870550Z

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=2026-05-13T19:57:08.451707Z digest=sha256:38e035e33481603a8bb675278b090ff51ad6e0f5476262703ad4dea00e7d5734

Observation 0bec3558-36e6-4712-b97b-1ed792770538 · outbound

This paper cites A Survey on In-context Learning.

Deformation-based In-Context Learning for Point Cloud Understanding A Survey on In-context Learning

Reference 7

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local_arxiv, observed 2026-05-13T19:58:12.026363Z

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=2026-05-13T19:57:08.451707Z digest=sha256:8b1b7b6472232df1ffc667304f3cc3c3c6ace14e424d08cde92efea59a282b99

Observation b1a932d2-aa13-4538-84ae-8f70788c3b8b · outbound

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

Deformation-based In-Context Learning for Point Cloud Understanding Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

Reference 8

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arxiv_id, observed 2026-05-13T19:58:12.017795Z

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=2026-05-13T19:57:08.451707Z digest=sha256:b7d9b4c63a0ddbe68a8c39812d83eda6081c31567e31ca32d7b943645ee445d6

Observation d6d545ab-6f6f-4c90-9036-113f0155748f · outbound

This paper cites A point set generation network for 3d object reconstruction from a single image.

Deformation-based In-Context Learning for Point Cloud Understanding A point set generation network for 3d object reconstruction from a single image

Reference 9

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raw_fallback, observed 2026-05-13T19:58:12.868582Z

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=2026-05-13T19:57:08.451707Z digest=sha256:bc623165a6e807637c4157fd2888a255a6cc873df615d0ede0be1bf5f4b0ea3b

Observation b66f5bca-af46-43e1-95c8-25f524c7f6b2 · outbound

This paper cites Explore in-context learning for 3d point cloud understanding.NeurIPS, 36: 42382–42395.

Deformation-based In-Context Learning for Point Cloud Understanding Explore in-context learning for 3d point cloud understanding.NeurIPS, 36: 42382–42395

Reference 10

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raw_fallback, observed 2026-05-13T19:58:12.864688Z

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

source=pdf_text observed=2026-05-13T19:57:08.451707Z digest=sha256:edca3431627e2f21304b4322884c878a442b79bae86b937395bf9fc26b8fd777

Observation 20da3d42-30ac-4d11-a637-79c400529600 · outbound

This paper cites The Llama 3 Herd of Models.

Deformation-based In-Context Learning for Point Cloud Understanding The Llama 3 Herd of Models

Reference 11

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local_arxiv, observed 2026-05-13T19:58:12.010278Z

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.

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Observation 47323d6d-5fe8-48bd-83c8-4a188ecdb654 · outbound

This paper cites 3d-coded: 3d corre- spondences by deep deformation.

Deformation-based In-Context Learning for Point Cloud Understanding 3d-coded: 3d corre- spondences by deep deformation

Reference 12

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raw_fallback, observed 2026-05-13T19:58:12.848575Z

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=2026-05-13T19:57:08.451707Z digest=sha256:45bdf2317377ac296b5fdcba7431d080ed654458dcd60ae1d88d4f7af45d2b3b

Observation 662fe377-3f14-4b91-90f0-dad6842965c6 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Deformation-based In-Context Learning for Point Cloud Understanding DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 13

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verified exact
local_arxiv, observed 2026-05-13T19:58:12.005780Z

Source-reported events for the cited work

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Observation a74ad49e-2685-4969-84e5-66c4ffb4c0b0 · outbound

This paper cites Pct: Point cloud transformer.Computational Visual Media, 7(2):187–199.

Deformation-based In-Context Learning for Point Cloud Understanding Pct: Point cloud transformer.Computational Visual Media, 7(2):187–199

Reference 14

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raw_fallback, observed 2026-05-13T19:58:12.842446Z

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=2026-05-13T19:57:08.451707Z digest=sha256:87d509aa8b70a320bbb27662a62836d29978b5c07d4456a215079ab880a30201

Observation af55c81e-2c2e-486b-b5c2-7c756ab5b6c7 · outbound

This paper cites Masked autoencoders are scalable vision learners.

Deformation-based In-Context Learning for Point Cloud Understanding Masked autoencoders are scalable vision learners

Reference 15

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raw_fallback, observed 2026-05-13T19:58:12.836552Z

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.

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Observation cf022dc6-f70e-450c-b411-28e9697c47ee · outbound

This paper cites In-context learning creates task vectors.

Deformation-based In-Context Learning for Point Cloud Understanding In-context learning creates task vectors

Reference 16

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raw_fallback, observed 2026-05-13T19:58:12.858428Z

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source=pdf_text observed=2026-05-13T19:57:08.451707Z digest=sha256:1f5acf4fb7fe92017f0ccfeef885923eb125f9112999b17139513353afd54637

Observation d0b08034-e076-41e3-b5f8-782287a0c4c7 · outbound

This paper cites Planning-oriented autonomous driving.

Deformation-based In-Context Learning for Point Cloud Understanding Planning-oriented autonomous driving

Reference 17

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raw_fallback, observed 2026-05-13T19:58:12.838692Z

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.

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Observation f2f72f8f-6cb4-410c-b500-de87f5625dfa · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

Deformation-based In-Context Learning for Point Cloud Understanding $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 18

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local_arxiv, observed 2026-05-13T19:58:11.973974Z

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

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Observation 25f62b1f-0691-42a6-8554-059622d3d314 · outbound

This paper cites Shapeflow: Learnable deformation flows among 3d shapes.NeurIPS, 33:9745–9757.

Deformation-based In-Context Learning for Point Cloud Understanding Shapeflow: Learnable deformation flows among 3d shapes.NeurIPS, 33:9745–9757

Reference 19

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raw_fallback, observed 2026-05-13T19:58:12.844412Z

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=2026-05-13T19:57:08.451707Z digest=sha256:471168a477a88206d6ee50489a43ee11285817b9adda2a77f76a3698c7366114

Observation bc2ea41d-cf4c-4d5d-96f0-1ec7270310d6 · outbound

This paper cites Dg- pic: Domain generalized point-in-context learning for point cloud understanding.

Deformation-based In-Context Learning for Point Cloud Understanding Dg- pic: Domain generalized point-in-context learning for point cloud understanding

Reference 20

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raw_fallback, observed 2026-05-13T19:58:12.840596Z

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

source=pdf_text observed=2026-05-13T19:57:08.451707Z digest=sha256:87a1abc32d985d4686f898c1bca3895118f68e5eb3a38ad250795443b3c338b0

Observation dec21dec-3998-49cd-8517-cbfa6688a1bb · outbound

This paper cites Pcotta: Continual test-time adaptation for multi- task point cloud understanding.NeurIPS, 37:96229–96253.

Deformation-based In-Context Learning for Point Cloud Understanding Pcotta: Continual test-time adaptation for multi- task point cloud understanding.NeurIPS, 37:96229–96253

Reference 21

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

source=pdf_text observed=2026-05-13T19:57:08.451707Z digest=sha256:62fbbea864059a434cc9b50c3a0f68069b3a6f982dcbc61c8f5aecb8a12e1f19

Observation 583090da-1395-4f19-aad1-4c3e19d367b1 · outbound

This paper cites Bevformer: learning bird’s-eye-view representation from lidar-camera via spatiotemporal transformers.IEEE TPAMI.

Deformation-based In-Context Learning for Point Cloud Understanding Bevformer: learning bird’s-eye-view representation from lidar-camera via spatiotemporal transformers.IEEE TPAMI

Reference 22

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raw_fallback, observed 2026-05-13T19:58:12.831474Z

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source=pdf_text observed=2026-05-13T19:57:08.451707Z digest=sha256:83e8da5ffdde2b4ec5425703c425908f034727f47c280b99287fc57a9826a72f

Observation e049f8a8-5183-49b8-b37b-5fd3af29d2e6 · outbound

This paper cites Point-in-context: Understanding point cloud via in-context learning.

Deformation-based In-Context Learning for Point Cloud Understanding Point-in-context: Understanding point cloud via in-context learning

Reference 23

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arxiv_id, observed 2026-05-13T19:58:11.982565Z

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

source=pdf_text observed=2026-05-13T19:57:08.451707Z digest=sha256:b817cece6e700a443118495d53102428ca711cef18619290221706d5f4b095a6

Observation 4808795d-35ad-42a0-882a-45353585adf6 · outbound

This paper cites Human-in-Context: Unified Cross-Domain 3D Human Motion Modeling via In-Context Learning.

Deformation-based In-Context Learning for Point Cloud Understanding Human-in-Context: Unified Cross-Domain 3D Human Motion Modeling via In-Context Learning

Reference 24

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arxiv_id, observed 2026-05-13T19:58:11.996724Z

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=2026-05-13T19:57:08.451707Z digest=sha256:b6be13418e9e7c39b374e5cd4f8eddc9d0a57a47a21b714e6b83d78b9b16fc07

Observation eaf06919-47ce-4261-af07-64a76d405125 · outbound

This paper cites In- context vectors: Making in context learning more effective and controllable through latent space steering.

Deformation-based In-Context Learning for Point Cloud Understanding In- context vectors: Making in context learning more effective and controllable through latent space steering

Reference 25

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raw_fallback, observed 2026-05-13T19:58:12.825265Z

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

source=pdf_text observed=2026-05-13T19:57:08.451707Z digest=sha256:ccb35824ee5ccf059344b4b6aa9f991bb36f8c75a2ed5089fef812012ad3a3cc

Observation 0783f93f-23bb-4dd4-8175-282b208adbc8 · outbound

This paper cites Flownet3d: Learning scene flow in 3d point clouds.

Deformation-based In-Context Learning for Point Cloud Understanding Flownet3d: Learning scene flow in 3d point clouds

Reference 26

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raw_fallback, observed 2026-05-13T19:58:12.862489Z

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=2026-05-13T19:57:08.451707Z digest=sha256:284d47fa746f45426b1943e6a2af9193a8f6c03b2edb03978ad3a461bbbe6fd1

Observation 77181f90-7baa-4066-9a15-f46df46fe9c3 · outbound

This paper cites Decoupled Weight Decay Regularization.

Deformation-based In-Context Learning for Point Cloud Understanding Decoupled Weight Decay Regularization

Reference 27

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local_arxiv, observed 2026-05-13T19:58:12.001658Z

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=2026-05-13T19:57:08.451707Z digest=sha256:29ba2d91e7209eb3c95f68fd030fca04b69f33408bc51bdff837e59e6072984a

Observation 956e001c-780d-4810-a05b-fa6ceec24cc7 · outbound

This paper cites A Survey on Vision-Language-Action Models for Embodied AI.

Deformation-based In-Context Learning for Point Cloud Understanding A Survey on Vision-Language-Action Models for Embodied AI

Reference 28

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local_arxiv, observed 2026-05-13T19:58:11.978061Z

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=2026-05-13T19:57:08.451707Z digest=sha256:ef703a9f000026e878b2d1a78dc665c57a64620b1b627583ea73b704f29a569f

Observation c8818cb5-e530-4fdd-987d-f01417f2bc4a · outbound

This paper cites Visualizing data using t-sne.Journal of machine learning research, 9 (Nov):2579–2605.

Deformation-based In-Context Learning for Point Cloud Understanding Visualizing data using t-sne.Journal of machine learning research, 9 (Nov):2579–2605

Reference 29

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raw_fallback, observed 2026-05-13T19:58:12.822956Z

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=2026-05-13T19:57:08.451707Z digest=sha256:f799f7fb7773634d4d99a131cf83788a8b86fb636c12b588afc8862365d4fe63

Observation 04a76b87-d8f7-4bf8-9c48-e327be9069e9 · outbound

This paper cites Masked autoencoders for point cloud self-supervised learning.

Deformation-based In-Context Learning for Point Cloud Understanding Masked autoencoders for point cloud self-supervised learning

Reference 30

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raw_fallback, observed 2026-05-13T19:58:12.827313Z

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=2026-05-13T19:57:08.451707Z digest=sha256:f22e7184b8eee5b67f0147e812dbcc6325b861557c7787894e92a9a7ca6afd93

Observation c07c6e8e-43ec-4060-9857-c9f352233109 · outbound

This paper cites Scalable diffusion models with transformers.

Deformation-based In-Context Learning for Point Cloud Understanding Scalable diffusion models with transformers

Reference 31

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raw_fallback, observed 2026-05-13T19:58:12.833739Z

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=2026-05-13T19:57:08.451707Z digest=sha256:caf992fd493120aeb8b8d83ae66ca66d1ece140963528a73f149b50668a8698f

Observation 2228cf8e-5189-49a1-a870-b3f8fc1561e1 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

Deformation-based In-Context Learning for Point Cloud Understanding Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 32

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raw_fallback, observed 2026-05-13T19:58:12.846682Z

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

source=pdf_text observed=2026-05-13T19:57:08.451707Z digest=sha256:b337b370f86b8bc4b50722e49ef9bff8fda185a7e2e805d1395466b3bd0e5226

Observation f51ff1ad-5613-4bd2-8965-fd8595adbd9c · outbound

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

Deformation-based In-Context Learning for Point Cloud Understanding Contrast with reconstruct: Contrastive 3d representation learning guided by generative pretraining

Reference 33

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raw_fallback, observed 2026-05-13T19:58:12.850540Z

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=2026-05-13T19:57:08.451707Z digest=sha256:407b35c006facfe6b082eff21254bbe4302272e9d7508b648e11bd87ea7ccf25

Observation 3b364374-3ad4-47f3-96a4-f53307820dc5 · outbound

This paper cites Micas: Multi-grained in-context adap- tive sampling for 3d point cloud processing.

Deformation-based In-Context Learning for Point Cloud Understanding Micas: Multi-grained in-context adap- tive sampling for 3d point cloud processing

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:58:12.812864Z

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=2026-05-13T19:57:08.451707Z digest=sha256:2ec54422078c5f55b1d46f0f2e01fa19cf6429dbcd076bf23314206f2c1dd17e

Observation cdf4ee66-dcf9-4ece-875a-81586883e053 · outbound

This paper cites Neural shape deformation priors.

Deformation-based In-Context Learning for Point Cloud Understanding Neural shape deformation priors

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:58:12.807971Z

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=2026-05-13T19:57:08.451707Z digest=sha256:68a49d8908428e017537ffb89f6d5990ca5aa0eac53b4073a1784b13807709bf

Observation 59e9ac66-9eff-4e71-bc2d-8a8999a92f62 · outbound

This paper cites What do single-view 3d reconstruction networks learn? InCVPR, pages 3405–3414.

Deformation-based In-Context Learning for Point Cloud Understanding What do single-view 3d reconstruction networks learn? InCVPR, pages 3405–3414

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:58:12.805421Z

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=2026-05-13T19:57:08.451707Z digest=sha256:db5a9ba524b5bec5ad9644fe1251075c35d8929b16f3ad0f20560d1abff8328b

Observation bdaa2fe2-ee8e-406d-96df-bba17d05f019 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Deformation-based In-Context Learning for Point Cloud Understanding LLaMA: Open and Efficient Foundation Language Models

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-13T19:58:11.966615Z

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=2026-05-13T19:57:08.451707Z digest=sha256:2c26758a95e8e47c6dcfac80ab98643ed0607f21455740fae5c84e07d4c96e37

Observation 35a1ed6a-abbf-4e7f-9687-b62d560c5ba3 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Deformation-based In-Context Learning for Point Cloud Understanding Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-13T19:58:11.970067Z

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=2026-05-13T19:57:08.451707Z digest=sha256:4a264ecbfeaf495653f00288ca64c48d5a4d26778bdca57433f2f1722a773ec2

Observation e07208d1-c0ee-422e-9da2-dc17ec527eb8 · outbound

This paper cites Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data.

Deformation-based In-Context Learning for Point Cloud Understanding Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:58:12.810258Z

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=2026-05-13T19:57:08.451707Z digest=sha256:d4368b11c3de8a19f808d6675d478cc3924737ee52686343ddfe88822e1cb6fc

Observation 76a58b58-87ea-4eb7-9ad6-3611de463089 · outbound

This paper cites Attention is all you need.NeurIPS, 30.

Deformation-based In-Context Learning for Point Cloud Understanding Attention is all you need.NeurIPS, 30

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:58:12.815270Z

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=2026-05-13T19:57:08.451707Z digest=sha256:d4cffb8b7514b37ac518925a2fc96d6f231db550884a6eeb6c3a860909849e7c

Observation 6457dcde-820e-4d3e-a177-710b6814c5f7 · outbound

This paper cites Pixel2mesh: Generating 3d mesh models from single rgb images.

Deformation-based In-Context Learning for Point Cloud Understanding Pixel2mesh: Generating 3d mesh models from single rgb images

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:58:12.820324Z

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=2026-05-13T19:57:08.451707Z digest=sha256:daf665935d2c68d4cac04155115d3f345e7fb29461ded790ad9f380418a957da

Observation 4e8020ac-eaed-4989-9326-d76d0ea63093 · outbound

This paper cites Images speak in images: A generalist painter for in-context visual learning.

Deformation-based In-Context Learning for Point Cloud Understanding Images speak in images: A generalist painter for in-context visual learning

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:58:12.794857Z

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=2026-05-13T19:57:08.451707Z digest=sha256:9f83a911a419481f8a1b79fac92791fa2f8e0427756a8bc2e3bde8092fcb5af4

Observation bca8ec3c-16ca-4681-a1b3-34c8b6bb0da1 · outbound

This paper cites Skeleton-in-context: Unified skeleton sequence modeling with in-context learning.

Deformation-based In-Context Learning for Point Cloud Understanding Skeleton-in-context: Unified skeleton sequence modeling with in-context learning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:58:12.798010Z

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=2026-05-13T19:57:08.451707Z digest=sha256:e6eaa4c30fd0b76d6051ac491fad13f3a27b93c05caa34d08d0dd813307e5a77

Observation f7c4001a-9c77-4020-be30-6e0289652d25 · outbound

This paper cites Dynamic graph cnn for learning on point clouds.ACM TOG, 38(5): 1–12.

Deformation-based In-Context Learning for Point Cloud Understanding Dynamic graph cnn for learning on point clouds.ACM TOG, 38(5): 1–12

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:58:12.800345Z

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=2026-05-13T19:57:08.451707Z digest=sha256:13d3ebeb6214ccd00b18e920c301620f53fbe7f32e9a4d7ab44b6575c3b40dbd

Observation 07193ad0-69b2-41c4-9385-3325bba5af83 · outbound

This paper cites In- context learning unlocked for diffusion models.NeurIPS, 36:8542–8562.

Deformation-based In-Context Learning for Point Cloud Understanding In- context learning unlocked for diffusion models.NeurIPS, 36:8542–8562

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:58:12.792397Z

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=2026-05-13T19:57:08.451707Z digest=sha256:54f0aac96c063892dd91a8443adb1b72a6bcd08709cac26d735251cf910470d4

Observation ce95a84a-002d-44bd-91f1-c7cff1828b06 · outbound

This paper cites Unipre3d: Unified pre-training of 3d point cloud models with cross-modal gaussian splatting.

Deformation-based In-Context Learning for Point Cloud Understanding Unipre3d: Unified pre-training of 3d point cloud models with cross-modal gaussian splatting

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:58:12.787640Z

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=2026-05-13T19:57:08.451707Z digest=sha256:1cb4c749b93fc884aceb116657be9f119d777926f02d4338e25d9ccf4d842114

Observation 969597fd-910c-4102-8bc3-5a411aad0548 · outbound

This paper cites Pixel2mesh++: Multi-view 3d mesh generation via deforma- tion.

Deformation-based In-Context Learning for Point Cloud Understanding Pixel2mesh++: Multi-view 3d mesh generation via deforma- tion

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:58:12.790091Z

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=2026-05-13T19:57:08.451707Z digest=sha256:92b5a57d1938cc6f782a75afa41d436694a95781f1f3afe49f72961a38ef4dd3

Observation 3d515a25-d693-44f6-9de5-cb1db7231867 · outbound

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

Deformation-based In-Context Learning for Point Cloud Understanding 3d shapenets: A deep representation for volumetric shapes

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:58:12.802874Z

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=2026-05-13T19:57:08.451707Z digest=sha256:e41c9cf156e5807b8a63962ac8e06e001c577419b111757f4258bda3632bfd6e

Observation 950afbc3-bab5-4f08-9157-4e597c014919 · outbound

This paper cites Simmim: A simple framework for masked image modeling.

Deformation-based In-Context Learning for Point Cloud Understanding Simmim: A simple framework for masked image modeling

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:58:12.817965Z

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=2026-05-13T19:57:08.451707Z digest=sha256:0366c93dbb8faac390d4d3a6a41f250ea466a2e5a7ca685d207f519fc362e92b

Observation abbc3100-14c5-4128-bdac-f7897a18e098 · outbound

This paper cites Qwen3 Technical Report.

Deformation-based In-Context Learning for Point Cloud Understanding Qwen3 Technical Report

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-05-13T19:58:11.987632Z

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=2026-05-13T19:57:08.451707Z digest=sha256:4b0fd5f3853a932d7c4fea60fbe884e8d8b2ba53d0621bc161882bd9a0f57c52

Observation 34c8c87c-9dbe-472d-a4a6-13461bf5815f · outbound

This paper cites A scalable active framework for region annotation in 3d shape collections.ACM TOG, 35(6): 1–12.

Deformation-based In-Context Learning for Point Cloud Understanding A scalable active framework for region annotation in 3d shape collections.ACM TOG, 35(6): 1–12

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:58:12.852489Z

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=2026-05-13T19:57:08.451707Z digest=sha256:305fe7f8d99cadb575a276f6c4f604dd2bc2b380d70022197d81faf2d9c15cc6

Observation 729cfe5f-3d77-47f0-be0a-122edf2f1454 · outbound

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

Deformation-based In-Context Learning for Point Cloud Understanding Point-bert: Pre-training 3d point cloud transformers with masked point modeling

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:58:12.856544Z

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=2026-05-13T19:57:08.451707Z digest=sha256:215a21b82b02c7144bafce0b0e43543c5d1ff5491e1493173600abfd3b90184d

Observation 66cfa420-6c01-433e-99b4-698797b6e8f4 · outbound

This paper cites Learning 3d representations from 2d pre-trained models via image-to-point masked autoencoders.

Deformation-based In-Context Learning for Point Cloud Understanding Learning 3d representations from 2d pre-trained models via image-to-point masked autoencoders

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:58:12.860261Z

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=2026-05-13T19:57:08.451707Z digest=sha256:fa1812124665116e08e494e2f1b622d0cf4aa17b38d50c2d871e964e7fff2b8e

Observation 3ac4d14f-c8ee-4410-98c3-8959b9690e83 · outbound

This paper cites disruption.

Deformation-based In-Context Learning for Point Cloud Understanding disruption

Reference 54

Resolution
malformed identifier
raw_fallback, observed 2026-05-13T19:58:12.854362Z

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=2026-05-13T19:57:08.451707Z digest=sha256:70207f58801255736ddbbb4a941315706acaa775470513059cfdd4cccdfa5930

Pith citing papers

No inbound Pith citation observations are available.