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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

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verified fuzzy
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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:b6bf51e03f2e5ac8b8ab887de1e509d7f0cd638830e00a62db7cecf08ecd84ce

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

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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=sha256:2e49686f02a1178d586cac5cec1459519fb7d494364c5ae5a05a040cb82f4897

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

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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.

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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

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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=sha256:45c355a79aa8fbefad149969ebc7872020b2c7dc9c8c85987069adc0863bd981

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

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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=sha256:4d9022e6cd5ac2fdefe13867112993b6975f899e02f886bdfa15becad590b784

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

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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=sha256:6b28c8cfda0685f63df2bf32066de8cfa0a542bca82276efddad5c860cba3ceb

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

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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=sha256:5ab23ca58d4dee669691374f35f087915eebbe63ebe7f99a4146720ad7bc9b21

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

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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:ff9f451c34d5dc32c841626939803e923cd6f518f2fdc6ccc0855ee01b72bc19

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

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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=sha256:6a33e72e6b26c213cacfa619198b1c3803b342f562943d403e3e5dd1cc2090f1

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

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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=sha256:1a2a8bc749aea2bf9dd1933f31f1625f23542314fd5bdd34a7e720e078681432

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

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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=sha256:33d20be53af296773ee40c432b7be01ef7e1116b8619dba3347bcb19f0b6cf2c

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

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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:c59d418827bee2b36d067c5e3d2e7e47275eed056864ff9dba5e82a14003f943

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
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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=sha256:7d297c7a82f1bd3888b226410c35d01f2109d33696d26c86e4f3c834db4c1cf1

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=sha256:2baaa0baab73c3f644e340962aba006faddae8dc59ecfff247fdb5782c68d052

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

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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=sha256:44b8557f41210f1bc554b2dcc3d927f396ec986e39775e65e77e3e3d15ad72c1

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
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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=sha256:72b78ae58ad51d5dd9f06003e641732b7713c6c65acf34af0897b7d9933bd8e8

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

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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=sha256:7dd76899eda0ea25da55aad1d611cf187e41136fc25a8777cd7b66aa56b72a89

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

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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:cd7cf16cc50ff5690b0b0b5d1417e08076477ae736308d685c988bfb00879e28

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=sha256:10f038ada40697f793c3c7375d1622e6d29f6922082eff292eff93c5ca01b992

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

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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=sha256:579fcf25bda7ba02fca63363126dda8d4265da24d6766de6939fc2950980e262

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
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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:ab7b79b2029e91c2e79c07427011f1b13df2b1c2e8ad5d72944b2082d342d4df

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

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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:d8b4890c260b4dadc3380900ab05f15c06a43992aa50f3997ee16003bf27ad3c

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

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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:a421dec98285715563f4743daf28b5d3f5e235d1419146882de13d7a45584c6d

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

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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=sha256:207f614f036e4036aef4f67346b38b7452bcf8bc3001de63fdf37c47019e465c

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

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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=sha256:5cbe1cb839df8a1a533c5bade3299a067a07a5221c067dc5cedf6d8c3130731c

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

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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:c51382a19816575c4439b22392158a79da8e3e1a7a80177c2709a62fa0d77f69

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=sha256:10cad367d3c61905a884b075df3f9f47834025ad30d9732d8c04183fa0c8c896

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=sha256:229076274aea6d2a9427eb6a834c4463ecf59d47300a28e9e809d8d565e07bfb

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=sha256:07064020afc42d42c361348e6edcf481ae22ecf85623c8b52241f3cfbcc6068c

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=sha256:87c9d36a18704b2828c0f4f5d9d7adb33faada9f402ea9bd4a14e21f852d9087

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

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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=sha256:8779a9a69425d205c2911eebb1278a6fdd1ea2fb9226aa183b9bd26cc0c0bb3a

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=sha256:13819726daa306a489d081640704154dd7228b51d68eaada0f22542d957dffb9

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:d75d27f278120b36de3358cd0cea689fd91fb32b403d51fabe14f8dab2739904

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=sha256:9dbd23c9a3666f8e32bf524e95eb3a559c2a49fe520aca3248e58cd25c35c468

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:d7eb6b44ae1af7979df4e3ecec5698e26a6ca4e5766956b005d2df1f05c1db5d

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=sha256:9708d1652415eef93fa572d48ce97a6a52f9daed489025948e80f0b3dfc3aac6

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=sha256:1176919267f4a7f5412f523f2187cb69bd88a320671620db05e97302383e3c36

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=sha256:2cc0eab376a838683528acf8cb6c6aeb5ae9b6c02aa72c7c1a108ef6380253f9

Pith citing papers

No inbound Pith citation observations are available.