Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:22:34.021041Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2412.01552.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:22:34.021041Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:39:17.854111Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T13:39:18.235324Z
20 of 20 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation da0ff369-61da-42aa-ac6a-60a7ba1526d6 · outbound
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 write newline
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05a79b6a-c7d6-4ef9-80da-96021c95b79c · outbound
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 Hot3d: Hand and object tracking in 3d from egocentric multi-view videos
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8f885556-9754-4192-9810-d7661e0b9089 · outbound
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 The farthest point strategy for progressive image sampling
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 81765538-7ee3-473a-8a9f-a2c1a79a0f0e · outbound
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 HANDAL : A dataset of real-world manipulable object categories with pose annotations, affordances, and reconstructions
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c08491d4-eeb6-48be-9264-abf917ebf9e4 · outbound
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 Bop challenge 2023 on detection segmentation and pose estimation of seen and unseen rigid objects
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f6d089e2-dcae-46a0-bea2-11a70f1ce627 · outbound
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 3d gaussian splatting for real-time radiance field rendering
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 08ae3675-3fc2-4dad-8dc5-c8b79bbbf67e · outbound
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 Segment anything
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 037cdd8f-93b3-47bf-8756-f090cd798aa5 · outbound
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 Fisheye-gs: Lightweight and extensible gaussian splatting module for fisheye cameras
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d9d43c30-b699-4ceb-969f-ccd62a4674ef · outbound
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 Sam-6d: Segment anything model meets zero-shot 6d object pose estimation
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dcdcb43d-b429-4519-80f0-db99a626a051 · outbound
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 Microsoft coco: Common objects in context
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 160bcdb8-e9d7-4b12-8523-76d4ad06f0d4 · outbound
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 Cnos: A strong baseline for cad-based novel object segmentation
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a7ab01da-a9f3-4efd-a29c-87021e717b38 · outbound
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 BOP Challenge 2024 on Model-Based and Model-Free 6D Object Pose Estimation
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 410df5f6-f407-4d16-9bc1-f306abce878d · outbound
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 Unresolved cited work
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f8671a8-a42f-45e1-aa99-4eaf503c7bc7 · outbound
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 PyTorch : An imperative style, high-performance deep learning library
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c2249efd-7d3f-4e0b-ad0c-78655efcd247 · outbound
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 Structure-from-motion revisited
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2d38bbd7-2c51-4d72-852d-a66b572449e2 · outbound
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 6-dof pose estimation of household objects for robotic manipulation: An accessible dataset and benchmark
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7be3990c-d3ee-44e9-a6ac-3bc24c1cb724 · outbound
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8849d0b2-7625-472a-b7e2-79bd19714836 · outbound
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 Gaussianobject: High-quality 3d object reconstruction from four views with gaussian splatting
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a9296b32-5482-4f60-bb56-70ac7d4bdc05 · outbound
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 gsplat: An open-source library for gaussian splatting
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ac2b4c33-ca55-40c1-bf64-e1bc43658a6e · outbound
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 Fast Segment Anything
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e24d0a08-8bf3-49b7-850a-f0d9babdeda0 · inbound
UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024
Reference 2024
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.