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Paper Citation Record · LEDGER

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base

As of 19 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2506.18856.

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

pith.paper-citation-record.v1
2506.18856 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:22:02.702059Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

44 of 44 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0aa71e82-f12b-4445-be8e-592dfa5f474b · outbound

This paper cites Posecnn: A convolutional neural network for 6d object pose estimation in cluttered scenes,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Posecnn: A convolutional neural network for 6d object pose estimation in cluttered scenes,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation eaab1ab4-c386-4dbf-a74c-6ca722ac5946 · outbound

This paper cites Mrc-net: 6-dof pose estimation with multiscale residual correlation,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Mrc-net: 6-dof pose estimation with multiscale residual correlation,

Reference 2

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raw_fallback, observed 2026-08-06T23:22:12.273934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1334a2d0-d9f2-4063-b161-ab7b32f2b509 · outbound

This paper cites Cdpn: Coordinates-based disentangled pose network for real-time rgb-based 6-dof object pose estimation,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Cdpn: Coordinates-based disentangled pose network for real-time rgb-based 6-dof object pose estimation,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a45505c1-9056-4178-8bef-b21ab6fa2f14 · outbound

This paper cites Dcl-net: Deep correspondence learning network for 6d pose estimation,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Dcl-net: Deep correspondence learning network for 6d pose estimation,

Reference 4

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raw_fallback, observed 2026-08-06T23:22:11.922804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d11c0b78-a8af-4ea1-8f0f-bccb024a4581 · outbound

This paper cites Center-based decoupled point cloud registration for 6d object pose estimation,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Center-based decoupled point cloud registration for 6d 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 2026-08-19T06:32:44.657259+00:00.

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Observation 98ce328d-27ff-4894-b562-7b0b63f54e59 · outbound

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

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Dinov2: Learning robust visual features without supervision,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:21:57.662147Z digest=sha256:2c01a845b4cadec81a2e9d2015570ed1d6ff2f6ecfb8b6009908905ea0048991

Observation eb9ff902-c309-4b44-bcbe-ab3496d39267 · outbound

This paper cites Posenet: A convolutional network for real-time 6-dof camera relocalization,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Posenet: A convolutional network for real-time 6-dof camera relocalization,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:21:57.762293Z digest=sha256:db1958a64463293885fc925453c2eee4b1bd552657e0c523a24d64dd2f7341d7

Observation 37fa8fc9-4fb5-4394-acfe-41bfa8e0d1ca · outbound

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

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Gdr-net: Geometry- guided direct regression network for monocular 6d object pose esti- mation,

Reference 8

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raw_fallback, observed 2026-08-06T23:22:11.274072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:21:57.965813Z digest=sha256:4ae85cd6ce4cf66ac8a35533b8ef395049b1adfd39b31ff139a02005d70972c3

Observation 83cb8ddd-b0ec-417a-ade5-fbcd208d6661 · outbound

This paper cites Pvnet: Pixel-wise voting network for 6dof pose estimation,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Pvnet: Pixel-wise voting network for 6dof pose estimation,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4081b29d-0b3c-4529-bcb1-8fd772df76f9 · outbound

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

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Pix2pose: Pixel-wise coordinate regression of objects for 6d pose estimation,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation bf7cf5c7-504f-4589-8851-4aa0cb6d3bc5 · outbound

This paper cites Surfemb: Dense and continuous correspondence distributions for object pose estimation with learnt surface embeddings,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Surfemb: Dense and continuous correspondence distributions for object pose estimation with learnt surface embeddings,

Reference 11

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raw_fallback, observed 2026-08-06T23:22:10.449268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c46cc970-fee8-4d40-8ddc-e6a7bf38cddc · outbound

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

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:21:58.613878Z digest=sha256:b0cbb8b72e50f8801d968532d6dcf37af0f92f1062ada7d827cb435ca096b89e

Observation bbbb73c9-8ff2-4e42-b082-85e759133ee4 · outbound

This paper cites Dpodv2: Dense correspondence-based 6 dof pose estimation,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Dpodv2: Dense correspondence-based 6 dof pose estimation,

Reference 13

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raw_fallback, observed 2026-08-06T23:22:10.168896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 147e6f46-2cb2-495b-a193-c0a795bfe4d4 · outbound

This paper cites Prior-information- guided corresponding point regression network for 6d pose estima- tion,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Prior-information- guided corresponding point regression network for 6d pose estima- tion,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d004e892-3b3e-4dda-900f-a53158288c4f · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Retrieval-augmented generation for knowledge-intensive nlp tasks,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 88540e91-5813-42e6-b241-0c232a46f97f · outbound

This paper cites Retrieval augmented generation and understanding in vision: A survey and new outlook,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Retrieval augmented generation and understanding in vision: A survey and new outlook,

Reference 16

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raw_fallback, observed 2026-08-06T23:22:09.610423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation afb14e07-f1dc-4e02-ae78-1797aef2fec4 · outbound

This paper cites Ra-clip: Retrieval augmented contrastive language-image pre-training,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Ra-clip: Retrieval augmented contrastive language-image pre-training,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 937c969f-c8bf-498c-9832-149c411ed049 · outbound

This paper cites Realrag: Retrieval-augmented realistic image generation via self-reflective contrastive learning,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Realrag: Retrieval-augmented realistic image generation via self-reflective contrastive learning,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 97a7efaf-2a64-445f-8c11-d5cfbc760c25 · outbound

This paper cites Domain-rag: Retrieval-guided compositional image generation for cross-domain few-shot object detection,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Domain-rag: Retrieval-guided compositional image generation for cross-domain few-shot object detection,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6335c8b5-130f-4e93-bc44-dcf55708a7ab · outbound

This paper cites Beyond text: Optimizing rag with multi- modal inputs for industrial applications,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Beyond text: Optimizing rag with multi- modal inputs for industrial applications,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a3a62a40-c445-4c81-bd11-f6896f3d5218 · outbound

This paper cites Implicit neural representations with periodic activation functions,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Implicit neural representations with periodic activation functions,

Reference 21

Resolution
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raw_fallback, observed 2026-08-06T23:22:08.482063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2b86ea93-cbbf-493c-8616-74e6c555d612 · outbound

This paper cites D$^3$Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base D$^3$Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement

Reference 22

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no resolver link, observed 2026-08-06T23:21:59.907385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3de71a76-9407-4ef0-95c7-d90f95d37923 · outbound

This paper cites Freeze: Training- free zero-shot 6d pose estimation with geometric and vision foundation models,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Freeze: Training- free zero-shot 6d pose estimation with geometric and vision foundation models,

Reference 23

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raw_fallback, observed 2026-08-06T23:22:08.271794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b3bf1c18-eb5f-4f34-9c23-2f7ebf8d395f · outbound

This paper cites V oxposer: Composable 3d value maps for robotic manipulation with language models,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base V oxposer: Composable 3d value maps for robotic manipulation with language models,

Reference 24

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raw_fallback, observed 2026-08-06T23:22:08.016648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e02e0ffb-e32f-4efb-bd1c-70569f16abd2 · outbound

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

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 25

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raw_fallback, observed 2026-08-06T23:22:07.721620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 33df4579-a809-434d-b920-5422cf83ccb1 · outbound

This paper cites Aggregated resid- ual transformations for deep neural networks,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Aggregated resid- ual transformations for deep neural networks,

Reference 26

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raw_fallback, observed 2026-08-06T23:22:07.462919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7127c485-a1d5-4c1d-a971-6bba2684f8a2 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base U-net: Convolutional networks for biomedical image segmentation,

Reference 27

Resolution
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raw_fallback, observed 2026-08-06T23:22:07.167288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 27d3564d-0e37-4b4a-88c3-ef7d7a48ee7f · outbound

This paper cites Representation learning with contrastive predictive coding,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Representation learning with contrastive predictive coding,

Reference 28

Resolution
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raw_fallback, observed 2026-08-06T23:22:06.847921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a71c4030-e30e-4dbb-a2d6-680cd6590567 · outbound

This paper cites Ep n p: An accurate o (n) solution to the p n p problem,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Ep n p: An accurate o (n) solution to the p n p problem,

Reference 29

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raw_fallback, observed 2026-08-06T23:22:06.509438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation eaf1f179-c0e9-418f-935f-27bb51a09a31 · outbound

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

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Learning 6d object pose estimation using 3d object coordinates,

Reference 30

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raw_fallback, observed 2026-08-06T23:22:06.190024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:22:00.884345Z digest=sha256:158683a714fac1d48ce4b3e71d29854e952d621e1f24ec163dc84876f546f6c0

Observation eb374e8a-36e5-4605-85d8-35c71e2b6070 · outbound

This paper cites Recovering 6d object pose and predicting next-best-view in the crowd,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Recovering 6d object pose and predicting next-best-view in the crowd,

Reference 31

Resolution
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raw_fallback, observed 2026-08-06T23:22:05.988943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:22:01.034828Z digest=sha256:f0f81eb1aa260c7152ce3bce509422db671db7d5c4b967ea27a5012bb5d8cdad

Observation 7d0f5e6b-2179-40f4-8add-e4c30abbacdb · outbound

This paper cites Homebreweddb: Rgb-d dataset for 6d pose estimation of 3d objects,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Homebreweddb: Rgb-d dataset for 6d pose estimation of 3d objects,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:22:05.919202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:22:01.139374Z digest=sha256:79f048ca97ef7ff976216c5e765f9df316bf2e8e5083efc24f9ce34dab3779ad

Observation 2a1c870e-06cf-4683-ae3b-bcc7155dc1bb · outbound

This paper cites Bop: Benchmark for 6d object pose estimation,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Bop: Benchmark for 6d object pose estimation,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:22:05.661002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:22:01.239599Z digest=sha256:f70f8d12d614380f878bd4f0593f22c25c7731d99759e866d8fc58d0a915075d

Observation 83a94e4b-5727-48e5-953f-926f059379ba · outbound

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

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Bop challenge 2023 on detection, segmentation and pose estimation of seen and unseen rigid objects,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:22:05.441541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:22:01.363167Z digest=sha256:fc7a673079675e5a9bca995077f998f05717fba7abf20cc23dae8b2439e9db2f

Observation 54e710da-0d9f-498c-9417-fe36cb4d6cf0 · outbound

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

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Cnos: A strong baseline for cad-based novel object segmentation,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:22:05.026890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:22:01.490747Z digest=sha256:ecb21f60f46044e0b351d3636c279db102f36a0224273fc5c8134d81a99bfbbd

Observation 58273d14-dcea-4881-a439-7b89245c673c · outbound

This paper cites Bop challenge 2020 on 6d object localization,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Bop challenge 2020 on 6d object localization,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:22:04.645188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:22:01.639829Z digest=sha256:74fb83149ec72dd6773ab924b5d615a97c2b5c12ab9b66921764069fbcd05ffa

Observation b5aec71a-674b-4053-8f49-83709d818bc1 · outbound

This paper cites Neural correspondence field for object pose estimation,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Neural correspondence field for object pose estimation,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:22:04.455513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:22:01.797466Z digest=sha256:b3e2931eaf0da1907b4eff62f3320b9d48d612e4a3791b84f5ddb3ad42da5017

Observation 304500a8-2672-4772-b3e8-1760a7a27807 · outbound

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

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Cosypose: Consistent multi-view multi-object 6d pose estimation,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:22:04.287747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:22:01.906580Z digest=sha256:636fda8287397fb9da6620f5c609dec3662b4b96c085db2835cc27548e2b74ee

Observation 114b7071-ab2a-419d-838c-c44f23a49cf1 · outbound

This paper cites So- pose: Exploiting self-occlusion for direct 6d pose estimation,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base So- pose: Exploiting self-occlusion for direct 6d pose estimation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:22:04.101031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:22:02.055065Z digest=sha256:86151d5c7ba14475678f7b614c64ed3ce9a1f0bc8ed2ff29682838f508f8cbef

Observation ad621290-0809-4091-a94b-5e3b0dba5a95 · outbound

This paper cites Crt-6d: Fast 6d object pose estimation with cascaded refinement transformers,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Crt-6d: Fast 6d object pose estimation with cascaded refinement transformers,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:22:03.945926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:22:02.233289Z digest=sha256:3f10683cc7bc40238dc500a0e5d16f4457d60052de7368344db47a7fd4caf65f

Observation 5bb7524a-3576-438f-94ec-2f4a2b2bd0e6 · outbound

This paper cites Perspective flow aggregation for data-limited 6d object pose estimation,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Perspective flow aggregation for data-limited 6d object pose estimation,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:22:03.731424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:22:02.360801Z digest=sha256:ea24caccbe6417a881044ffda39886bf9e018f88996fe72a636f6667564f4425

Observation 3c4f262e-5667-4c62-b257-1e47e27e6565 · outbound

This paper cites Yolo-6d-pose: Enhancing yolo for single-stage monocular multi-object 6d pose estimation,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Yolo-6d-pose: Enhancing yolo for single-stage monocular multi-object 6d pose estimation,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:22:03.522100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:22:02.503161Z digest=sha256:06193c9bf332cbe7a4921f16b506f18ebf08723e1af3593c2d9d8040997428dd

Observation 00d77a03-4ef6-4d07-8c2f-6013b197cf66 · outbound

This paper cites Efficient variants of the icp algo- rithm,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Efficient variants of the icp algo- rithm,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:22:03.219748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:22:02.627289Z digest=sha256:c1dc998241cd37d396b3196ca7d571eb5bd388f830508437543f7beb0070a94b

Observation f8756565-df2d-4fce-8163-ed6764d399fe · outbound

This paper cites Corri2p: Deep image-to-point cloud registration via dense correspondence,.

RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base Corri2p: Deep image-to-point cloud registration via dense correspondence,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:22:02.962799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:22:02.702059Z digest=sha256:97677653d0918e314187d9f743fa4d3a49e950ec4a7e0215f8a1fb7b91ab2e21

Pith citing papers

No inbound Pith citation observations are available.