Paper Citation Record · LEDGER

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation

As of 13 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 2 inbound Pith citation observations for arXiv:2412.01052.

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

pith.paper-citation-record.v1
2412.01052 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:51:22.683372Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:08:31.215751Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:08:33.735842Z

Reference resolution

48 of 48 outbound references displayed

verified exact0
verified fuzzy39
unresolved8
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7c4927bc-280e-4a3a-b76e-8ec49a4a21bc · outbound

This paper cites Arun, T.S.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Arun, T.S

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.399568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bf3946c4-72ea-43d7-af51-c4ba3571f19c · outbound

This paper cites Omni3d: A large benchmark and model for 3d object detection in the wild.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Omni3d: A large benchmark and model for 3d object detection in the wild

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.385685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fc51e028-ef93-4cf5-96fa-a44b905caabe · outbound

This paper cites pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.371900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6158d17d-7001-4f63-8757-f7419745be9f · outbound

This paper cites Satel- lite pose estimation with deep landmark regression and non- linear pose refinement.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Satel- lite pose estimation with deep landmark regression and non- linear pose refinement

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.358171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ccc5998c-85d0-4b75-b525-69e018407111 · outbound

This paper cites Learning canonical shape space for category-level 6d object pose and size estimation.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Learning canonical shape space for category-level 6d object pose and size estimation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.343563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ec4e47b8-7c31-44ba-8afd-258191e8a4a9 · outbound

This paper cites Sgpa: Structure-guided prior adap- tation for category-level 6d object pose estimation.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Sgpa: Structure-guided prior adap- tation for category-level 6d object pose estimation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.329433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eef6d5f1-36b3-4435-8fa5-1e9a2d45f1f9 · outbound

This paper cites Unsupervised template-assisted point cloud shape correspondence network.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Unsupervised template-assisted point cloud shape correspondence network

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.315585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a1c51f87-e07f-4a87-bc61-4e719cda5b75 · outbound

This paper cites Blenderproc: Reducing the reality gap with photorealistic rendering.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Blenderproc: Reducing the reality gap with photorealistic rendering

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.301830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ca90c9ab-9230-47e6-a2fe-539daa532a5e · outbound

This paper cites CVXPY: A Python- embedded modeling language for convex optimization.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation CVXPY: A Python- embedded modeling language for convex optimization

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.288306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ce870965-459e-43bd-aaaf-fcf81fc68e11 · outbound

This paper cites Industrial robotics.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Industrial robotics

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.274110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8e37d29d-a2c1-4978-a894-b8430a0af003 · outbound

This paper cites BOP challenge 2020 on 6D object localization.Eu- ropean Conference on Computer Vision Workshops (ECCVW),.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation BOP challenge 2020 on 6D object localization.Eu- ropean Conference on Computer Vision Workshops (ECCVW),

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.259713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c63e0735-b90c-4a2e-8637-ec486049aa8a · outbound

This paper cites Shapo: Im- plicit representations for multi-object shape, appearance, and pose optimization.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Shapo: Im- plicit representations for multi-object shape, appearance, and pose optimization

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.245716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4c53bd7f-a8e3-4315-8977-26c1b11a3f28 · outbound

This paper cites Shap-E: Generating Conditional 3D Implicit Functions.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Shap-E: Generating Conditional 3D Implicit Functions

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T04:51:22.531850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e8d110a-9e6c-4da7-9411-5e2f5e2e811e · outbound

This paper cites Labbe, J.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Labbe, J

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.231575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f78b175e-021c-4c5f-add6-c3af1bda8dc3 · outbound

This paper cites Megapose: 6d pose estimation of novel objects via render & compare.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Megapose: 6d pose estimation of novel objects via render & compare

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.217048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0b1a4fe1-016a-4575-a4d9-555eaeba137d · outbound

This paper cites Category-level metric scale object shape and pose estimation.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Category-level metric scale object shape and pose estimation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.202607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b2de973c-b3bd-4bfb-a72c-53c863e0ac05 · outbound

This paper cites DeepIM: Deep Iterative Matching for 6D Pose Estimation.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation DeepIM: Deep Iterative Matching for 6D Pose Estimation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.188783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 10905b8b-a317-4a82-b98c-e086dff9c0bb · outbound

This paper cites Dualposenet: Category-level 6d object pose and size estimation using dual pose network with refined learning of pose consistency.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Dualposenet: Category-level 6d object pose and size estimation using dual pose network with refined learning of pose consistency

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.174397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a59c3790-a04b-4d96-96fd-dfcd3c0e707b · outbound

This paper cites One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimiza- tion.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimiza- tion

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.159192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation af0a66a7-5614-4cbc-8cd8-51363f2d7da4 · outbound

This paper cites an unresolved cited work.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:51:23.143624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8d4d8a90-58c1-45e1-8aa6-1b9de6eb1a93 · outbound

This paper cites Fsd: Fast self-supervised single rgb-d to categorical 3d objects.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Fsd: Fast self-supervised single rgb-d to categorical 3d objects

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.127788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6ba3b59c-3203-4cfe-b197-2c7272a91e57 · outbound

This paper cites 3d bounding box estimation using deep learn- ing and geometry.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation 3d bounding box estimation using deep learn- ing and geometry

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.112217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 78686f4f-87c4-462a-940d-ccddc7c059c6 · outbound

This paper cites Stacked hour- glass networks for human pose estimation.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Stacked hour- glass networks for human pose estimation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.096884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0c26f799-3253-46ce-8dd5-d92d290f3c77 · outbound

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

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation DINOv2: Learning Robust Visual Features without Supervision

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T04:51:22.578456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bf57c6d-9652-4a3c-9af8-6e36fdfd7809 · outbound

This paper cites an unresolved cited work.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:51:23.082086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7ae01bd9-dad7-4c57-b6e2-b1b51425b3a3 · outbound

This paper cites Rapid abstraction of spacecraft 3d structure from single 2d image.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Rapid abstraction of spacecraft 3d structure from single 2d image

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.067006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d059f1e4-6819-422a-9388-16bb3c22f6e4 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Pytorch: An imperative style, high-performance deep learning library

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T04:51:22.591389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7473b4ac-6988-4b43-80b2-48c261c35bbf · outbound

This paper cites Pavlakos, X.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Pavlakos, X

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.042525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ab78afec-b1e6-42a5-b656-bd571880370a · outbound

This paper cites Self- supervised category-level 6d object pose estimation with deep implicit shape representation.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Self- supervised category-level 6d object pose estimation with deep implicit shape representation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.028467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bf02b89c-fd5d-42a0-9bb6-1fa74e124f37 · outbound

This paper cites FiLM: Visual Reasoning with a General Conditioning Layer.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation FiLM: Visual Reasoning with a General Conditioning Layer

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:23.013796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 55ec350d-9edd-4565-8d56-a6358a97465e · outbound

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

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Pointnet: Deep learning on point sets for 3D classification and segmentation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:22.998566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b17b5f44-10ee-4c84-b942-ec51c412ede8 · outbound

This paper cites Vi- sion transformers for dense prediction.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Vi- sion transformers for dense prediction

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:22.984009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 55befc5a-4319-47ba-ba3a-d86d7e632b4e · outbound

This paper cites The state of industrial robotics: Emerging technologies, chal- lenges, and key research directions.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation The state of industrial robotics: Emerging technologies, chal- lenges, and key research directions

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:22.969479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b7e6ba8e-3092-4e63-a5e0-9096b9c40897 · outbound

This paper cites Efficient learning of label ranking by soft projections onto polyhedra.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Efficient learning of label ranking by soft projections onto polyhedra

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:22.955030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2c33f6f1-4ad9-4279-a728-6ff4011e4f7f · outbound

This paper cites an unresolved cited work.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:51:22.940724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2830b90f-8a88-4211-8d7c-72c99a1ca7ea · outbound

This paper cites Implicit neural representa- tions with periodic activation functions.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Implicit neural representa- tions with periodic activation functions

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:22.926281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 20becb06-6c9f-4fa6-a7c8-3d0d0c42d9de · outbound

This paper cites Talak, L.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Talak, L

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:22.911764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6d547a41-6df8-4e04-b520-75718160cdcf · outbound

This paper cites Shape prior deformation for categorical 6d object pose and size estimation.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Shape prior deformation for categorical 6d object pose and size estimation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:22.897729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6e43f9af-0f59-43a6-89d0-ece9f96d79a1 · outbound

This paper cites Self6D: Self-supervised monocular 6D object pose estimation.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Self6D: Self-supervised monocular 6D object pose estimation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:22.869410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6f66ebc6-63af-4340-9672-01ecc27d28e5 · outbound

This paper cites GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:22.854277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9b89af55-be20-4dc3-97ce-11f66b2232bb · outbound

This paper cites an unresolved cited work.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:51:22.838569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5be758c1-68b6-40b7-8100-0a7c6096c1b2 · outbound

This paper cites PRNet: Self-Supervised Learning for Partial-to-Partial Registration.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation PRNet: Self-Supervised Learning for Partial-to-Partial Registration

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:22.823924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9d6224f4-6266-43a6-adec-b7771800480f · outbound

This paper cites Bundlesdf: Neural 6-dof tracking and 3d recon- struction of unknown objects.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Bundlesdf: Neural 6-dof tracking and 3d recon- struction of unknown objects

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:22.809313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b4b1f4cb-73a4-476e-a4dd-baa7a51e6fc9 · outbound

This paper cites PoseCNN: A convolutional neural network for 6D object pose estimation in cluttered scenes.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation PoseCNN: A convolutional neural network for 6D object pose estimation in cluttered scenes

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:22.794956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f637b050-c32d-49a2-90c4-ae62143abf25 · outbound

This paper cites Beyond Model Adaptation at Test Time: A Survey.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Beyond Model Adaptation at Test Time: A Survey

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T04:51:22.674629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa204946-f90f-4400-9df1-363b51042cad · outbound

This paper cites Category-level 6d object pose estimation in the wild: A semi-supervised learning approach and a new dataset.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation Category-level 6d object pose estimation in the wild: A semi-supervised learning approach and a new dataset

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:22.779929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cae410fb-83fe-4b8b-8df7-5c4db85921be · outbound

This paper cites EgoPressure: A Dataset for Hand Pressure and Pose Estimation in Egocentric Vision.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation EgoPressure: A Dataset for Hand Pressure and Pose Estimation in Egocentric Vision

Reference 48

Resolution: malformed identifier; no resolver link, observed 2026-08-12T04:51:22.683372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80d6b8a5-de5c-4856-a70e-58cfbf43374b · outbound

This paper cites 1, 2, 8, 14.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation 1, 2, 8, 14

Reference 546

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:22.883288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation b9074fea-5fc5-48e4-9a60-5c51eaf42cc6 · inbound

Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation cites this paper.

Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation CRISP: Object Pose and Shape Estimation with Test-Time Adaptation

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:08:33.789142Z

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Observation 394a2050-7b2b-4e8d-a855-d17809919a77 · inbound

Finding NeMO: A Geometry-Aware Representation of Template Views for Few-Shot Perception cites this paper.

Finding NeMO: A Geometry-Aware Representation of Template Views for Few-Shot Perception CRISP: Object Pose and Shape Estimation with Test-Time Adaptation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T04:45:35.975740Z

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