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Paper Citation Record · LEDGER

GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024

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.

pith.paper-citation-record.v1
2412.01552 v4

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:22:34.021041Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:39:17.854111Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-12T13:39:18.235324Z

Reference resolution

20 of 20 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da0ff369-61da-42aa-ac6a-60a7ba1526d6 · outbound

This paper cites write newline.

GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T04:22:33.927834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:22:33.927834Z digest=sha256:72e61243a4d54f7e23e11dbbd33ac25e3a47b272359f96fc386083064ef1cf62

Observation 05a79b6a-c7d6-4ef9-80da-96021c95b79c · outbound

This paper cites Hot3d: Hand and object tracking in 3d from egocentric multi-view videos.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:22:34.334804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.933376Z digest=sha256:ba6e0ef0d74ce45d98000f4e9efa689e11f5536316a23acfff1babd3b17ec462

Observation 8f885556-9754-4192-9810-d7661e0b9089 · outbound

This paper cites The farthest point strategy for progressive image sampling.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:22:34.319153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.938260Z digest=sha256:2a5e40a92932ff18a86003ee20fb08808940802a1293e081815fe18b4cdccf6f

Observation 81765538-7ee3-473a-8a9f-a2c1a79a0f0e · outbound

This paper cites HANDAL : A dataset of real-world manipulable object categories with pose annotations, affordances, and reconstructions.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:22:34.303456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.943949Z digest=sha256:10c2cf3bc54b57086d094b44201cb4aa59e7e5a5db8cb0502e94d9841141a2cf

Observation c08491d4-eeb6-48be-9264-abf917ebf9e4 · outbound

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

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:22:34.288925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.949182Z digest=sha256:be79852f39318e8b10be0c5912958670a0d9bb67ad6d95eedaed40bb4617c000

Observation f6d089e2-dcae-46a0-bea2-11a70f1ce627 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:22:34.272206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.953789Z digest=sha256:07fcafe78541c527677dba667733ccbda0344bf0fe2eed95d8398bd52c516cdf

Observation 08ae3675-3fc2-4dad-8dc5-c8b79bbbf67e · outbound

This paper cites Segment anything.

GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 Segment anything

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:22:34.255988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.958879Z digest=sha256:13141c9e398f72bc86c806cdf436a5a66fe705c78b63d81dd79a26688ed9df4d

Observation 037cdd8f-93b3-47bf-8756-f090cd798aa5 · outbound

This paper cites Fisheye-gs: Lightweight and extensible gaussian splatting module for fisheye cameras.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:22:34.241335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.965134Z digest=sha256:3ad727e133828a524959b5b5391baedcb3fb81ea66e8f3ce795de6caa87f15d6

Observation d9d43c30-b699-4ceb-969f-ccd62a4674ef · outbound

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

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:22:34.226786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.969549Z digest=sha256:8b9eacc9b06c56458276713c971b713e5e777a6264094c4afe210f01f5003f0d

Observation dcdcb43d-b429-4519-80f0-db99a626a051 · outbound

This paper cites Microsoft coco: Common objects in context.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:22:34.209872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.973954Z digest=sha256:1c8b16cc42200ec48bdb6868238187fb6d85dd4f5f9efaa28310b25e66e62d8e

Observation 160bcdb8-e9d7-4b12-8523-76d4ad06f0d4 · outbound

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

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:22:34.195553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.979135Z digest=sha256:9655da646d0754d0c948e98fb98a33d9328c0f42fde77ef69b2c2311abbd288c

Observation a7ab01da-a9f3-4efd-a29c-87021e717b38 · outbound

This paper cites BOP Challenge 2024 on Model-Based and Model-Free 6D Object Pose Estimation.

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

Resolution
unresolved
no resolver link, observed 2026-08-12T04:22:33.983184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:22:33.983184Z digest=sha256:f82dbbf35a36a53b7afbbbf9a9c69add6d272592f27326497b024c1904c95435

Observation 410df5f6-f407-4d16-9bc1-f306abce878d · outbound

This paper cites an unresolved cited work.

GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T04:22:33.988865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:22:33.988865Z digest=sha256:5e061d75480ac223c0c53187f5765758f2b277fe5631e0f5532e02964b686002

Observation 4f8671a8-a42f-45e1-aa99-4eaf503c7bc7 · outbound

This paper cites PyTorch : An imperative style, high-performance deep learning library.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:22:34.169754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.993118Z digest=sha256:f604af0ebfd58affacbb9844de6a0fb7468fcc0e465ca246e32063ff6ae4bd2f

Observation c2249efd-7d3f-4e0b-ad0c-78655efcd247 · outbound

This paper cites Structure-from-motion revisited.

GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 Structure-from-motion revisited

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:22:34.152142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.997268Z digest=sha256:3abc19db084b7e64f8defcf295ebacdb5415d4821637c790a913fdc7038b009b

Observation 2d38bbd7-2c51-4d72-852d-a66b572449e2 · outbound

This paper cites 6-dof pose estimation of household objects for robotic manipulation: An accessible dataset and benchmark.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:22:34.137488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T04:22:34.001555Z digest=sha256:d73eab2246c0775dd66cc6f99148359e510a35a72621b913f38666124e476fa1

Observation 7be3990c-d3ee-44e9-a6ac-3bc24c1cb724 · outbound

This paper cites Bovik, H.R.

GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 Bovik, H.R

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:22:34.122231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T04:22:34.007283Z digest=sha256:79215d76e31a4da8b2841ff95364f7f1e11145d72fc84d79157ec5aec78c2c7c

Observation 8849d0b2-7625-472a-b7e2-79bd19714836 · outbound

This paper cites Gaussianobject: High-quality 3d object reconstruction from four views with gaussian splatting.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:22:34.107558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T04:22:34.011628Z digest=sha256:4892237e939286b0fbfcae5b4e5b3e7accdbfbb734fa8c6299a1f2ccacbaf424

Observation a9296b32-5482-4f60-bb56-70ac7d4bdc05 · outbound

This paper cites gsplat: An open-source library for gaussian splatting.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:22:34.090930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T04:22:34.015907Z digest=sha256:ae03bbf4f2aadcf832279cdaa62edf33423999990e9786d9b153b45c13b21a65

Observation ac2b4c33-ca55-40c1-bf64-e1bc43658a6e · outbound

This paper cites Fast Segment Anything.

GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 Fast Segment Anything

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T04:22:34.021041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:22:34.021041Z digest=sha256:9cd0b67ef1e98a1d7c824e6bb4ae59030455ff97f0217c86e3d11b5909e3780d

Pith citing papers

Observation e24d0a08-8bf3-49b7-850a-f0d9babdeda0 · inbound

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image cites this paper.

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

Resolution
verified exact
local_arxiv, observed 2026-08-12T13:39:18.243066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T13:39:17.854111Z digest=sha256:1338eee55230c22b845a1aabfcebebdeff9083ec75fffee137ccaebcc0a51d03