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Paper Citation Record · LEDGER

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation

As of 13 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2411.16668.

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

pith.paper-citation-record.v1
2411.16668 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:55:26.381460Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

63 of 63 outbound references displayed

  • verified exact1
  • verified fuzzy58
  • unresolved4
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4fac44df-c218-440b-a8f0-f71b6792d807 · outbound

This paper cites Robotic continuous grasping system by shape transformer-guided multiobject category-level 6-d pose estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Robotic continuous grasping system by shape transformer-guided multiobject category-level 6-d pose estimation

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7dc31047-0017-436a-8412-2f916de4e7ab · outbound

This paper cites Challenges for monocular 6-d object pose estimation in robotics.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Challenges for monocular 6-d object pose estimation in robotics

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 07a2805a-0ae5-4c69-8f16-386451bbc741 · outbound

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

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Blenderproc: Reducing the reality gap with photorealistic rendering

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3f1f4889-f7bc-4668-9ee3-b83fea050c56 · outbound

This paper cites Bop challenge 2023 on detection segmentation and pose estimation of seen and unseen rigid objects.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Bop challenge 2023 on detection segmentation and pose estimation of seen and unseen rigid objects

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 00a6a9a2-aa06-44de-8c0e-2416e16cef1f · outbound

This paper cites Hipose: Hierarchical binary surface encoding and correspondence pruning for rgb-d 6dof object pose estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Hipose: Hierarchical binary surface encoding and correspondence pruning for rgb-d 6dof object pose estimation

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a9f09ebf-49a0-4720-819a-b288b4cf08a5 · outbound

This paper cites Zs6d: Zero-shot 6d object pose estimation using vision transformers.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Zs6d: Zero-shot 6d object pose estimation using vision transformers

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 509b73c0-bc0e-4473-9b37-4d0f572bb113 · outbound

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

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Megapose: 6d pose estimation of novel objects via render & compare

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 346390dd-e00c-4cdc-b5b1-6d30c22a23c2 · outbound

This paper cites Foundpose: Unseen object pose estimation with foundation features.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Foundpose: Unseen object pose estimation with foundation features

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ad4f0cd7-0a75-408a-8f88-18d856a966f2 · outbound

This paper cites Osop: A multi-stage one shot object pose estimation framework.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Osop: A multi-stage one shot object pose estimation framework

Reference 9

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation cc78878b-4638-44a5-95a8-9a2dd8467759 · outbound

This paper cites Foundationpose: Unified 6d pose estima- tion and tracking of novel objects.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Foundationpose: Unified 6d pose estima- tion and tracking of novel objects

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e45aa4cc-adfa-467e-ba44-3ee5675244d1 · outbound

This paper cites Zero123-6D: Zero-shot Novel View Synthesis for RGB Category-level 6D Pose Estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Zero123-6D: Zero-shot Novel View Synthesis for RGB Category-level 6D Pose Estimation

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 33d27e80-1250-4ddf-8999-dcea3de3f5f0 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Emerging properties in self-supervised vision transformers

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c1cbad52-0629-4b17-9b2f-f3da76aa4ff1 · outbound

This paper cites Epnp: An accurate o(n) solution to the pnp problem.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Epnp: An accurate o(n) solution to the pnp problem

Reference 13

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unresolved
no resolver link, observed 2026-08-12T12:55:26.219100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:55:26.219100Z digest=sha256:13f1689c5935498e67aad6345096abdeb9538257377f886062fa7571eec162fb

Observation 3dcb0a9f-ecec-42b1-97e3-19aea4db73f2 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation High- resolution image synthesis with latent diffusion models

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.909113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.222095Z digest=sha256:d55b4334bdbaa623b52b6b5f3ca4b3cc4783716e3f9abae423e379aae8870c37

Observation 0b687f1e-3faf-4a82-9ee3-d28c0f496de7 · outbound

This paper cites A tale of two features: Stable diffusion complements dino for zero- shot semantic correspondence.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation A tale of two features: Stable diffusion complements dino for zero- shot semantic correspondence

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ea8ac15a-dfc8-4b36-a569-a80d6b388d64 · outbound

This paper cites Learning 6d object pose estimation using 3d object coordinates.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Learning 6d object pose estimation using 3d object coordinates

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.228284Z digest=sha256:b902bc2946602e87a4fb9ac0bd38c516dbb2d86bc8525246f1d0b54f413cff59

Observation 9d35674e-be3a-4b2f-90e7-2a44152b84b7 · outbound

This paper cites Xiang, T.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Xiang, T

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b187bc13-65c0-4c69-8f88-56ce4899975e · outbound

This paper cites T-less: An rgb-d dataset for 6d pose estimation of texture-less objects.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation T-less: An rgb-d dataset for 6d pose estimation of texture-less objects

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ea817db8-9865-4fab-bc57-29cf34a75475 · outbound

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

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation An image is worth 16x16 words: Transformers for image recognition at scale

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 9711c090-942f-4723-acec-4cfb66067d17 · outbound

This paper cites Cad-model recognition and 6dof pose estimation using 3d cues.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Cad-model recognition and 6dof pose estimation using 3d cues

Reference 20

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raw_fallback, observed 2026-08-12T12:55:26.849786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 6479493b-c954-4ab6-9846-18f51814ffe3 · outbound

This paper cites Pose estimation using local structure-specific shape and appearance context.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Pose estimation using local structure-specific shape and appearance context

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d87176ad-7aa3-4aa5-ad99-e32a294ae1c4 · outbound

This paper cites Model globally, match locally: Ef- ficient and robust 3d object recognition.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Model globally, match locally: Ef- ficient and robust 3d object recognition

Reference 22

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raw_fallback, observed 2026-08-12T12:55:26.830525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ba8e1a21-98b3-4254-9736-7dc9976788ab · outbound

This paper cites Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes

Reference 23

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raw_fallback, observed 2026-08-12T12:55:26.821335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.251339Z digest=sha256:7d575119d85e7ba2c72fe9058b6cf7f4ea22cb8f72cba3f4b486f0d872175cdc

Observation e91d7379-77af-4e13-afb1-83ccc378d723 · outbound

This paper cites Faster and finer pose estimation for multiple instance objects in a single rgb image.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Faster and finer pose estimation for multiple instance objects in a single rgb image

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.811457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.254324Z digest=sha256:1a09ddb49e4758eef0a0e32403a2ddfd9ba8fc178052116d097045671c6ab3aa

Observation 810f6b3e-7253-4d92-8574-9a9ec0318d25 · outbound

This paper cites Irpe: Instance-level reconstruction-based 6d pose estimator.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Irpe: Instance-level reconstruction-based 6d pose estimator

Reference 25

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raw_fallback, observed 2026-08-12T12:55:26.800144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.257395Z digest=sha256:a0519dd03cf697a759f0c99ebe009b9235d10d2cbee028cc54bc76dd9d3b2143

Observation 30657a46-2c65-4284-9df1-22ac4308b082 · outbound

This paper cites Ssd-6d: Making rgb-based 3d detection and 6d pose estimation great again.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Ssd-6d: Making rgb-based 3d detection and 6d pose estimation great again

Reference 26

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raw_fallback, observed 2026-08-12T12:55:26.789512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.260886Z digest=sha256:d88810ca0aa2dfa3b83489099b8e5cafa3f8d3800022fc791100266d56f5c2f9

Observation 27efa765-fe94-431a-b352-ba579658ba22 · outbound

This paper cites Cosypose: Consistent multi-view multi-object 6d pose estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Cosypose: Consistent multi-view multi-object 6d pose estimation

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.779964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.263969Z digest=sha256:df91660dfa73f0c85b9e4b57d4a1499ee2990550dd992a6720017107b7b0c15a

Observation f06bd149-1f70-4b04-a91f-42ce460e0089 · outbound

This paper cites A dynamic keypoint selection network for 6dof pose estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation A dynamic keypoint selection network for 6dof pose estimation

Reference 28

Resolution
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raw_fallback, observed 2026-08-12T12:55:26.769804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.266934Z digest=sha256:b32315d0f5b18cbe8579794adfa60fd94b8412cc5599ed55725d360ec23e06f8

Observation f2ac44ca-2316-413a-9c87-f8e39bdbca86 · outbound

This paper cites Real-time seamless single shot 6d object pose prediction.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Real-time seamless single shot 6d object pose prediction

Reference 29

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raw_fallback, observed 2026-08-12T12:55:26.760141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.269923Z digest=sha256:980fb30fb0c82a471eefdb906c8d5ba5c9c5cf2929029f6fc6518498df71cc81

Observation 47cb45d3-121f-46a6-91b9-02cd8a101403 · outbound

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

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Gdr-net: Geometry-guided direct regression network for monocular 6d object pose estimation

Reference 30

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raw_fallback, observed 2026-08-12T12:55:26.750163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.273786Z digest=sha256:70a3e8466a1ed2a6b1b401733957603d5a268ab2bba13de2ce4af4e2bee3211d

Observation e17c9e79-f244-4d64-a0ab-9c52a0e34673 · outbound

This paper cites Oa-pose: Occlusion-aware monoc- ular 6-dof object pose estimation under geometry alignment for robot manipulation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Oa-pose: Occlusion-aware monoc- ular 6-dof object pose estimation under geometry alignment for robot manipulation

Reference 31

Resolution
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raw_fallback, observed 2026-08-12T12:55:26.740834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.277514Z digest=sha256:4b4512c608ff1337a74b6511e4ec682383742cfd7bbdd19ecaff5f3212cd37e0

Observation ee71cfe4-2db8-4ed8-9ee1-768433e3ddf9 · outbound

This paper cites Multiple geometry representations for 6d object pose estimation in occluded or truncated scenes.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Multiple geometry representations for 6d object pose estimation in occluded or truncated scenes

Reference 32

Resolution
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raw_fallback, observed 2026-08-12T12:55:26.731098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.280577Z digest=sha256:dc657565e18bf3c8474152bd902ccf3f034e3fe153cdd300613aca368826425e

Observation 60624c89-c254-4422-aa6b-de4a6580fc5b · outbound

This paper cites Geometric-aware dense matching network for 6d pose estimation of objects from rgb-d images.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Geometric-aware dense matching network for 6d pose estimation of objects from rgb-d images

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.721038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.283791Z digest=sha256:b666504d851576b64447cb43e8b41c9d33a31a253ff8ada6e5d144674279fd22

Observation cef48ae1-adf4-4a05-b945-0e2fb9f31d1a · outbound

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

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Gpv-pose: Category-level object pose estimation via geometry-guided point-wise voting

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.710707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.286946Z digest=sha256:6d587eafecf19e67c7ca28515db5b70d6de6542b16bb0c320377f0a2f9c22f9b

Observation fef13deb-9572-4f5f-a866-5852dea950bb · outbound

This paper cites i2c-net: using instance-level neural networks for monocular category-level 6d pose estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation i2c-net: using instance-level neural networks for monocular category-level 6d pose estimation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.700697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.290771Z digest=sha256:5b1ba98f7a1851afd672a7b9c35df68ef54af2de3ce55e82533bc4ae49289e4b

Observation a4ad80ea-f634-45c5-82e4-d9872518323b · outbound

This paper cites Normalized object coordinate space for category-level 6d object pose and size estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Normalized object coordinate space for category-level 6d object pose and size estimation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.691332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.294290Z digest=sha256:50f2ae5b78bc6571f9728940f0310d7c017d290c8fa20d16604ee1dd938882c3

Observation 11df4b99-f327-4c57-acd8-fdd849050869 · outbound

This paper cites Templates for 3d object pose estimation revisited: Generalization to new objects and robustness to occlusions.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Templates for 3d object pose estimation revisited: Generalization to new objects and robustness to occlusions

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.681602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.297516Z digest=sha256:cc222e728e8b10c18aa0b8be1f773d45bc06846865ae88bf22c9302dca5dbe4f

Observation a85a6e07-4639-46db-b267-2aac3fbd70ab · outbound

This paper cites Self- supervised vision transformers for 3d pose estimation of novel objects.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Self- supervised vision transformers for 3d pose estimation of novel objects

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.670651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.300522Z digest=sha256:d5630edfa5791c7125871fd552e70fee1ce39a2dfa2757563dc94ba00a8b492a

Observation b7a77d79-9564-4902-a5cd-aa4d1e2b8d64 · outbound

This paper cites Zero-shot category-level object pose estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Zero-shot category-level object pose estimation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.660754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.303605Z digest=sha256:831ada7f824dd395d8629b73a57d88a40f5578e9af31a5dbfa7ade407f85e65d

Observation f49ca186-0d84-43cb-a338-f913c4619454 · outbound

This paper cites Gigapose: Fast and robust novel object pose estimation via one correspondence.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Gigapose: Fast and robust novel object pose estimation via one correspondence

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.649897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.306384Z digest=sha256:349880d16905e837cecb985a308e157ac37df8147d3387c315bef5906c7e2314

Observation 798107a3-7084-40f5-af3e-ce4c04702889 · outbound

This paper cites Sam-6d: Segment anything model meets zero-shot 6d object pose estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Sam-6d: Segment anything model meets zero-shot 6d object pose estimation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.640420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.309683Z digest=sha256:bd1ad4135fe67a9ce32d0510e57dfa364d38238f6e48de2bb631f1bf3a33c378

Observation f5ca74b6-fa96-4328-851d-51ad305ff7bd · outbound

This paper cites 6d-diff: A keypoint diffusion framework for 6d object pose estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation 6d-diff: A keypoint diffusion framework for 6d object pose estimation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.630352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.312723Z digest=sha256:bd9f3fba6ab27b902d2e57ea51f5c2863695509c24f3155f3ca6f70a0194e0f5

Observation bd2de4a1-b1dd-46d6-9b45-4f1afe873d9d · outbound

This paper cites Secondpose: Se (3)-consistent dual-stream feature fusion for category-level pose estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Secondpose: Se (3)-consistent dual-stream feature fusion for category-level pose estimation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.618817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.316160Z digest=sha256:7c292bc7a97f8bc5ec0d57b0f4cdbce47e4a874a142f06dc0307cbb486fb6b95

Observation 8a30b4d3-b22f-4e8d-907b-38b454f29cc2 · outbound

This paper cites Segment anything.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Segment anything

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.608643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.319684Z digest=sha256:2fd5d2174f818df594f8a3f747261019def29728efa0add536fbffa35eb6eb91

Observation 5c35ee50-8a5f-4ad1-af78-2bf171e4ae43 · outbound

This paper cites Dinov2: Learning robust visual features without supervision.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Dinov2: Learning robust visual features without supervision

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.598180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.322976Z digest=sha256:825972282f197f716978b1fbcb274243013c4f53406d82767b70102718df7149

Observation bd92e03b-da1f-4c7a-8c42-182bc1f15ace · outbound

This paper cites A general protocol to probe large vision models for 3d physical understanding.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation A general protocol to probe large vision models for 3d physical understanding

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.588163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.326752Z digest=sha256:85e39b9af25bc935e82e6eb3785dcf6272c1b851d77978feb55736bc81607c66

Observation 69193c81-1526-4cae-8d8b-5a547520057d · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.577727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.330206Z digest=sha256:ebff756f8eef26c87fa1871c520b99dda5e0e87afdb7d626acdee42686da602a

Observation 787dbc79-55de-44e4-8557-0c6c36fdbde0 · outbound

This paper cites Glipv2: Unifying localization and vision- language understanding.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Glipv2: Unifying localization and vision- language understanding

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.566927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.333231Z digest=sha256:55cc276db22dfa0c69742296459dcaccb449d6c651bd5a90ed14da08ef8c56b2

Observation 5d33a8ac-ab6f-4425-ad85-164e25f80e45 · outbound

This paper cites Open x-embodiment: Robotic learning datasets and rt-x models.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Open x-embodiment: Robotic learning datasets and rt-x models

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.556275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.335893Z digest=sha256:40068f067528e72b5546a070555f8e3fab35f89b76692b68c770ed2a139af507

Observation 7524413e-9d48-4609-9d38-63a84a4ba51c · outbound

This paper cites Denoising diffusion probabilistic models.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Denoising diffusion probabilistic models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T12:55:26.338799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:55:26.338799Z digest=sha256:292abf1db37933bf3e505ed6b0d94180683976355670501669d733f4cf7a9f44

Observation 31804923-4609-451d-a0ae-305851ce8ad1 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Repaint: Inpainting using denoising diffusion probabilistic models

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.539063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.341503Z digest=sha256:11f5ecebccc3a19e0fd7fe50121f9a17b1597af9e80a21f3e0d8622913f10d49

Observation b75e3dbd-1db3-415a-bf1b-8b252579def9 · outbound

This paper cites Implicit diffusion models for continuous super-resolution.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Implicit diffusion models for continuous super-resolution

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.528881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.344698Z digest=sha256:e013ffa7c629a785078b1445015f260cebfba92b2e6b63b226561b478320b120

Observation 60c68042-e4ac-4859-8108-c2cfa552fc68 · outbound

This paper cites Inversion-based style transfer with diffusion models.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Inversion-based style transfer with diffusion models

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.519133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.348131Z digest=sha256:f49fa76a01516898fb8ba11390ea4974a25f54985e81c994a60849d4ce5ee82b

Observation 4d2357f8-9ece-494c-9c09-1d2aa38fd786 · outbound

This paper cites Diffusion hyperfeatures: Searching through time and space for semantic correspondence.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Diffusion hyperfeatures: Searching through time and space for semantic correspondence

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.509418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.351375Z digest=sha256:8ab31a5924b283811c740d9830061bea98073a4084f76dba79fb490f34c5dac8

Observation 76c3d44c-a626-43fc-88be-b54cfb21975e · outbound

This paper cites Click to grasp: Zero-shot precise manipulation via visual diffusion descriptors, 2024.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Click to grasp: Zero-shot precise manipulation via visual diffusion descriptors, 2024

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.498857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.354759Z digest=sha256:2d9c07ed26bd5f71e4d7daa8aaeca46f50420b87b27e0554ed82416aca81ab52

Observation b432c5a4-72f5-460c-909a-e1afc173d43e · outbound

This paper cites U-net: Convolutional networks for biomed- ical image segmentation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation U-net: Convolutional networks for biomed- ical image segmentation

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.488340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.358372Z digest=sha256:95a9464a5538127926e68250dec19e1b03099fe626fa94531c63f58ac22c07f9

Observation 3130400e-c2fc-4ed5-bfda-147a7769e4de · outbound

This paper cites Multiple View Geometry in Computer Vision.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Multiple View Geometry in Computer Vision

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.478756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.361205Z digest=sha256:54cbd53252197212547eba0361f8f5b31d4cd50da71382e20b6b1d02c2820ac4

Observation 311a2e21-77be-487e-908d-33fa9c6db30d · outbound

This paper cites Cnos: A strong baseline for cad-based novel object segmentation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Cnos: A strong baseline for cad-based novel object segmentation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.467862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.364220Z digest=sha256:49fff4d200148e41ed9d3b61685fd9125db16d87274b68471cf42d518df6fc8e

Observation c360c71f-464f-4c13-8032-fe5731f9e638 · outbound

This paper cites Pix2pose: Pixel-wise coordinate regression of objects for 6d pose estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Pix2pose: Pixel-wise coordinate regression of objects for 6d pose estimation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.458220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.367868Z digest=sha256:de2e626c6e497da48e23629c6bfba8ae77f09319de16108da3724b16fbd0db68

Observation 82084d06-2378-40a2-85fc-daddf1493289 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.448204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.371685Z digest=sha256:bdc7f3ec3f46537b9a4005eac06cffcd6d24625967c61941f579e100ed24b1a0

Observation 37da5593-f2cb-44cd-bc0f-b1242ee7afba · outbound

This paper cites 3D-aware Image Synthesis via Learning Structural and Textural Representations.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation 3D-aware Image Synthesis via Learning Structural and Textural Representations

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-12T12:55:26.410745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.374726Z digest=sha256:2e705dd8ed95621b1470fe987392cb1fd84ff0229cedba181c0f11ffa352d121

Observation c43f4af4-0d3d-4e58-a1cf-f2d833a17c03 · outbound

This paper cites Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-12T12:55:26.378360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:55:26.378360Z digest=sha256:a875434f39c2c74365b1ee051fd19dd0f775747ece3cb24a38f186bfee5f17b4

Observation 6cba4d07-1bd5-4a97-a485-394c193d179a · outbound

This paper cites Telling left from right: Identifying geometry-aware semantic correspondence.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Telling left from right: Identifying geometry-aware semantic correspondence

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.431702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:55:26.381460Z digest=sha256:1a1d6b71c2ee86936f6a91793519c13170517aeb2ff0ed087a29f23923a21385

Pith citing papers

No inbound Pith citation observations are available.