Pith. sign in

Paper Citation Record · LEDGER

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion

As of 14 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2412.11420.

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

pith.paper-citation-record.v1
2412.11420 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:59:14.511665Z

measured 38 of 38 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 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

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy31
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a46425de-43f2-4e79-ab7a-91aef0783833 · outbound

This paper cites SGPA: Structure-guided prior adaptation for category-level 6d object pose estimation.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion SGPA: Structure-guided prior adaptation for category-level 6d object pose estimation

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:15.011703Z

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.

source=pdf_text observed=2026-08-11T14:59:14.343505Z digest=sha256:a130dacd251622fefb5b2d8f2967ebc27b55fb4444c7582996252284ab7c6f8a

Observation 2d20b1fd-425a-40ad-a804-05e4fb22f8b4 · outbound

This paper cites Category level object pose estimation via neural analysis-by-synthesis.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion Category level object pose estimation via neural analysis-by-synthesis

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.997468Z

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.

source=pdf_text observed=2026-08-11T14:59:14.350630Z digest=sha256:7a80490616c70f516d94488412db652b8a963ba857d25c23d2fc2f5fae69d6a2

Observation d2d31d6e-be5e-4ff9-8f65-54a4e0897002 · outbound

This paper cites Comaniciu and P.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion Comaniciu and P

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.982913Z

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.

source=pdf_text observed=2026-08-11T14:59:14.358960Z digest=sha256:0c08087c2c7b352191f6ef151d090207704c28dfb3b2d539639058a56e0b1742

Observation 16e5b52f-2537-45ab-91f1-207bf882a7c4 · outbound

This paper cites GPV-pose: Category-level object pose estimation via geometry-guided point-wise voting.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion GPV-pose: Category-level object pose estimation via geometry-guided point-wise voting

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.967991Z

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.

source=pdf_text observed=2026-08-11T14:59:14.363073Z digest=sha256:ea9321e0e314a0de18442db9d7180ed753ccaa5cb9c74adf31db9eb58ae15884

Observation 298ecc7b-baf6-4de2-ad84-c2a8f49aaa1f · outbound

This paper cites Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.955796Z

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.

source=pdf_text observed=2026-08-11T14:59:14.369143Z digest=sha256:2e7168b18f9c14dc3d727d5834cfd761a6bd78cc0d5462037aea0d2150f66b9a

Observation 7dffc1be-49b9-4299-bbbc-c6ad2762b2c1 · outbound

This paper cites Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.943832Z

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.

source=pdf_text observed=2026-08-11T14:59:14.373602Z digest=sha256:26b14dab9560b2b100310940cdfd788ed737ebf31863db8c16e4165ae06becdc

Observation ddb3771a-e693-4dda-a528-de2760fd09da · outbound

This paper cites Object level depth reconstruction for category level 6d object pose estimation from monocular RGB image.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion Object level depth reconstruction for category level 6d object pose estimation from monocular RGB image

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.932095Z

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.

source=pdf_text observed=2026-08-11T14:59:14.380395Z digest=sha256:0684bb0d1c46b8dc6df1eb3c6ef57942bb26875817ca0f06e823a23dfb70857e

Observation 59f93a4c-758d-4bae-8ba3-5d241c9b165f · outbound

This paper cites Mask r-CNN.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion Mask r-CNN

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.920682Z

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.

source=pdf_text observed=2026-08-11T14:59:14.385901Z digest=sha256:e9dea8743dab89ddfbd68e4c9250654b9d52364fcd3bf0b2539766a1a05b7646

Observation 4a922b90-8922-4932-90ee-5019f4127e9d · outbound

This paper cites Deep residual learning for image recognition.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion Deep residual learning for image recognition

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T14:59:14.392166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:59:14.392166Z digest=sha256:e87944df9f1f98a952ecf9eb269ee7a4d9fd89efa13d7a30af94e1d68a0dac7f

Observation 4d2ed831-e37a-47cb-914b-74524818949b · outbound

This paper cites Estimation of non-normalized statistical models by score matching.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion Estimation of non-normalized statistical models by score matching

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.901394Z

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.

source=pdf_text observed=2026-08-11T14:59:14.398813Z digest=sha256:e678e1d9fae1d410d588f478be525a3ff8ca0595071c3a1ba8f5e982f5005aea

Observation 84437063-b221-498b-9cc2-4a72a5a3502b · outbound

This paper cites MeanShift++: Extremely fast mode-seeking with applications to segmentation and object tracking.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion MeanShift++: Extremely fast mode-seeking with applications to segmentation and object tracking

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.888491Z

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.

source=pdf_text observed=2026-08-11T14:59:14.404036Z digest=sha256:9ebd4bba6f6a6218f966d63023e721f0ff649ec46b9bdbc44016e144b90141ce

Observation f9ff607b-b1e0-4b03-88f6-dad5cc4e745a · outbound

This paper cites 3d common corruptions and data augmentation.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion 3d common corruptions and data augmentation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.873099Z

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.

source=pdf_text observed=2026-08-11T14:59:14.408464Z digest=sha256:9463951125cb41e69fe35114863789d49892a069360f2162771d4c30db891a6e

Observation fe223c26-6112-4f9b-9c31-1cd2536b9909 · outbound

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

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion Category-level metric scale object shape and pose estimation

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.858470Z

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.

source=pdf_text observed=2026-08-11T14:59:14.413578Z digest=sha256:9c4480b44076ebbb9e5a00b8e4049c5f9e8f54d2e71fb46de990e0acded5fa50

Observation e26273f6-eea4-4ba4-ba49-24a7b83c9964 · outbound

This paper cites CDPN: Coordinates-based disentangled pose network for real-time RGB-based 6-DoF object pose estimation.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion CDPN: Coordinates-based disentangled pose network for real-time RGB-based 6-DoF object pose estimation

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.845189Z

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.

source=pdf_text observed=2026-08-11T14:59:14.419586Z digest=sha256:ec36c0d71f838b325a8c58e0a4f854a27fe1bc790a69efc2edd57aea413be497

Observation 9fd87076-5176-465e-af61-551df491d142 · outbound

This paper cites SAR-net: Shape alignment and recovery network for category-level 6d object pose and size estimation.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion SAR-net: Shape alignment and recovery network for category-level 6d object pose and size estimation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.833282Z

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.

source=pdf_text observed=2026-08-11T14:59:14.422987Z digest=sha256:fa508d67a19271c1e38440465b8308593118da3aee990ee264eac06f9469a654

Observation 2b0e78a4-1323-4183-b3ae-291146dc7594 · outbound

This paper cites Category-level 6d object pose and size estimation using self-supervised deep prior deformation networks.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion Category-level 6d object pose and size estimation using self-supervised deep prior deformation networks

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.822504Z

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.

source=pdf_text observed=2026-08-11T14:59:14.426404Z digest=sha256:22a2cabfb1e7cef98e47406963df3f1c09b6b80b8b0ecfe85d11f2d0726020ab

Observation b38a95f7-7abe-4e66-ace8-847339f9c0b2 · outbound

This paper cites VI-net: Boosting category-level 6d object pose estimation via learning decoupled rotations on the spherical representations.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion VI-net: Boosting category-level 6d object pose estimation via learning decoupled rotations on the spherical representations

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.811648Z

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.

source=pdf_text observed=2026-08-11T14:59:14.431252Z digest=sha256:8146e147a204de7f90e6ff606310222d29e3340db43e22fee04c66c37ff61148

Observation 688fe75c-acfd-4749-b6b7-ca7fe5c0e64e · outbound

This paper cites Lawrence Zitnick, and Piotr Dollár.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion Lawrence Zitnick, and Piotr Dollár

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T14:59:14.434737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:59:14.434737Z digest=sha256:80901ed61b3ec17ea4d88709f2a73b54f20652d491d632aae9c315dd40b36bc3

Observation b95b5e22-4163-4e92-bc7e-a888c9fa5b00 · outbound

This paper cites CPS++: Improving class-level 6d pose and shape estimation from monocular images with self-supervised learning.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion CPS++: Improving class-level 6d pose and shape estimation from monocular images with self-supervised learning

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.791945Z

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.

source=pdf_text observed=2026-08-11T14:59:14.437859Z digest=sha256:ca08245cc46660230ba664b02e026008c79389d4d1408598b3873c28cd317a7b

Observation 067fc863-5857-4e8f-9939-b88b72b408fa · outbound

This paper cites UniDepth: Universal monocular metric depth estimation.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion UniDepth: Universal monocular metric depth estimation

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.779735Z

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.

source=pdf_text observed=2026-08-11T14:59:14.441016Z digest=sha256:7031628c0c867c2ea2fcb3d807c9da142f59570edd6aa85ae05c561b67cdf6d1

Observation d8a9e6c7-63e2-4429-9187-d804aa722573 · outbound

This paper cites Berg, and Li Fei-Fei.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion Berg, and Li Fei-Fei

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.767467Z

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.

source=pdf_text observed=2026-08-11T14:59:14.444535Z digest=sha256:d0c3db2491c929a49659a6e5e05010c49924e4617e601021d94119ff7767a456

Observation 32059b27-dedd-4489-9ee0-ef7e3404cb1c · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion Generative modeling by estimating gradients of the data distribution

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.753167Z

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.

source=pdf_text observed=2026-08-11T14:59:14.449065Z digest=sha256:6faffa1caaf8a0e5035b9d15791de1143597b375434fb0f31e95e80bf18552f3

Observation 6bc746df-4c44-4d0a-80db-ca6e5d2a2932 · outbound

This paper cites SCORE-BASED GENERA TIVE MODELING THROUGH STOCHASTIC DIFFERENTIAL EQUA TIONS.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion SCORE-BASED GENERA TIVE MODELING THROUGH STOCHASTIC DIFFERENTIAL EQUA TIONS

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.734144Z

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.

source=pdf_text observed=2026-08-11T14:59:14.452528Z digest=sha256:30ca9d5811457115ff2ad0a741abb4be3f2f740170c68b57e439ffae64fc6575

Observation c4a3aad5-c149-4025-af9b-6d612caf1259 · outbound

This paper cites 6D Object Pose Estimation with Depth Images: A Seamless Approach for Robotic Interaction and Augmented Reality.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion 6D Object Pose Estimation with Depth Images: A Seamless Approach for Robotic Interaction and Augmented Reality

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T14:59:14.456017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:59:14.456017Z digest=sha256:e018d5e060fde0e642e71417b080d2f3ccaf2e0e683e62d0f18d70c6d9ff116a

Observation a5d4eb22-5d85-4c36-bdf1-5d44dfe205a0 · outbound

This paper cites 3d mapping and 6d pose computation for real time augmented reality on cylindrical objects.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion 3d mapping and 6d pose computation for real time augmented reality on cylindrical objects

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.719300Z

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.

source=pdf_text observed=2026-08-11T14:59:14.460097Z digest=sha256:002ec050cb8ea523df0de196e2a5269be8e1a2ba884509a47a8c60590214bc44

Observation 5d1faacd-ad62-427e-beb2-c01080e5c36b · outbound

This paper cites Ang, and Gim Hee Lee.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion Ang, and Gim Hee Lee

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.706148Z

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.

source=pdf_text observed=2026-08-11T14:59:14.463561Z digest=sha256:fcf2afa0d80d4392108b01b7ba195540a093d5548d66995c3c925186333ea198

Observation 2821bb85-47d8-4d07-8132-c0ae7164cb0b · outbound

This paper cites Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T14:59:14.468523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:59:14.468523Z digest=sha256:f9bd5921fa24558472123fa497eea3d4b8f0e92f2005beb172c6d23a8d82f976

Observation 29c90a02-4bae-41df-8cda-3d0b3bc6eb8c · outbound

This paper cites an unresolved cited work.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:59:14.694251Z

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.

source=pdf_text observed=2026-08-11T14:59:14.472558Z digest=sha256:8eefe016d153ed0178acffbc155708683807b59d9766dee9105401138b269bfb

Observation 8caa2c89-7a8d-44d5-b697-b7b18e085044 · outbound

This paper cites A connection between score matching and denoising autoencoders.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion A connection between score matching and denoising autoencoders

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.681771Z

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.

source=pdf_text observed=2026-08-11T14:59:14.476150Z digest=sha256:cf1a809aa68e951021209f01912aec1d56cf4958407ebcfcc40e667f35d36941

Observation 5f8ce517-26fa-4b17-92c6-d5a2ea3c6a63 · outbound

This paper cites GDR-net: Geometry- guided direct regression network for monocular 6d object pose estimation.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion GDR-net: Geometry- guided direct regression network for monocular 6d object pose estimation

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.658184Z

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.

source=pdf_text observed=2026-08-11T14:59:14.485103Z digest=sha256:18eded3e4ffcc676afd6e9c95bb47372c88541ccbf94f336c1bff0423c004f50

Observation aa1351c4-16d1-4430-898b-55bd9c3b458b · outbound

This paper cites an unresolved cited work.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:59:14.644242Z

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.

source=pdf_text observed=2026-08-11T14:59:14.488675Z digest=sha256:17ed9a0c19cc1c37bce4c001b1d88735e3716139c6d295e9d996170a6140934d

Observation 15a5a4eb-0bb7-4018-ad33-3c6dbe698780 · outbound

This paper cites Category-level 6d object pose estimation via cascaded relation and recurrent reconstruction networks.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion Category-level 6d object pose estimation via cascaded relation and recurrent reconstruction networks

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.632761Z

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.

source=pdf_text observed=2026-08-11T14:59:14.492650Z digest=sha256:023ef4a50fdcb3b3057c54016b5532357c6b1acd91d5f415c1585ae16c5189fa

Observation b40ceaf1-670c-4e5f-b3ca-54afa15a9f7f · outbound

This paper cites RGB-based category-level object pose estimation via decoupled metric scale recovery.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion RGB-based category-level object pose estimation via decoupled metric scale recovery

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.621021Z

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.

source=pdf_text observed=2026-08-11T14:59:14.496644Z digest=sha256:8e88712c921e62adf1761b16b0248364643ac142a9c8391c38fa774f0682bd0d

Observation 34f8c4fc-3b8c-41c5-a7b0-c31e616eab7e · outbound

This paper cites Mean shift, mode seeking, and clustering.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion Mean shift, mode seeking, and clustering

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.609255Z

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.

source=pdf_text observed=2026-08-11T14:59:14.500087Z digest=sha256:c9d046998757b118106a382b6f87ff24311202dda4dd2f1f7e4206128de68b9b

Observation c8ab7e9c-bc6f-4ceb-be2e-dfb168bcaa91 · outbound

This paper cites GenPose: Generative category-level object pose estimation via diffusion models.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion GenPose: Generative category-level object pose estimation via diffusion models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.596023Z

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.

source=pdf_text observed=2026-08-11T14:59:14.504251Z digest=sha256:c160b31343784e10eb72678f1d25dd149af97adb34d11a74dd0b21da4d9fedba

Observation 76fbdbdc-728e-4d34-8d43-27de5ac2b37d · outbound

This paper cites SSP-pose: Symmetry-aware shape prior deformation for direct category-level object pose estimation.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion SSP-pose: Symmetry-aware shape prior deformation for direct category-level object pose estimation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.584897Z

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.

source=pdf_text observed=2026-08-11T14:59:14.507543Z digest=sha256:8894af95db0803c00bd4f2dfd01ce3c8b634f59c540cbe32e0fc58683427d481

Observation e76d2df9-9131-4730-8cfe-1627a850b2af · outbound

This paper cites On the continuity of rotation representations in neural networks.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion On the continuity of rotation representations in neural networks

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:59:14.571271Z

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.

source=pdf_text observed=2026-08-11T14:59:14.511665Z digest=sha256:15fdeaeb7e50a9daa16fb1d8b624b49acddbcb34644a17e6c055cb1b21d5fa13

Observation f79ea507-21a9-4c82-8980-d5b7337384f4 · outbound

This paper cites an unresolved cited work.

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion Unresolved cited work

Reference 1674

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:59:14.669916Z

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.

source=pdf_text observed=2026-08-11T14:59:14.480344Z digest=sha256:0d65576ab41e1f43cf7226cbb0f4ecc877623e99428d087361819e2fe40ba688

Pith citing papers

No inbound Pith citation observations are available.