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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 2026-08-16T06:30:59.297886+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=sha256:546781e87651f787206216e2b0fe30a0537ae3fe282f466d6ea28fea29d20e4a

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.933376Z digest=sha256:bddb0a9e37f4c72a8140a0c9e332b1c282d481a79e3d3d67292ef0ae30dc2078

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.938260Z digest=sha256:c76f8cf791612f432f7b381d84ab855590c78b77b9c35353ea940b04c65ae6b2

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.943949Z digest=sha256:99e7f3ea1b19c20a3e4c8b880793f5a54f5cdffbfb804404e1f2e137bad98df9

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.949182Z digest=sha256:5bbf0460604a50fa681f1ee306949c1235dd33f0ae24da16b568228611afab26

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.953789Z digest=sha256:0e2de5c72cbe82373ce2f6eba586d5bf078c9eebd6fe3a2c483f641ffabcfcc9

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.958879Z digest=sha256:187f3ef9d23ec47d5943b86c9ea31b2d82e5e46b83092285e7b9ce8b873c7976

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.965134Z digest=sha256:aa4de88a0f4547c6dfc4088f7f4bfba8cb8d3cc729e603021ce37b20527bd620

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.969549Z digest=sha256:b7fa814b7811f5f0593fdd245f7db397c837bd95972f3c44609465de72d04750

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.973954Z digest=sha256:43a478386b9bf2315ca811a17440c690eb9228e265ea0621200c4b71c63dae81

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.979135Z digest=sha256:465c5213286b7c3c2ac7de6e31bec24b85d620a29e880e4366691fc4febd5a1a

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:d0a31ddc9a74f2ba46b0ec9d58a3e42f4dceffcea3b568e300817a735d0021d2

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=sha256:7945d68ac206b22a70964e32eb6543348b6848f1e1be3771a819103f74d76f36

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.993118Z digest=sha256:c6e79201fbe2a0004dc9cc4f74130871ab1d739956fee7520664649d256e91b3

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T04:22:33.997268Z digest=sha256:e7adf8929f575ad96c7436be90e2ae6f22ee3aa84e3222b86ff966c314ce1c52

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T04:22:34.001555Z digest=sha256:35ce303db778bac917cb207ea818bd98ae68a71c67176b096387c63ae9f526dc

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T04:22:34.007283Z digest=sha256:fecf43dee81fcf2702491eef55d20ad245c95ba5a428bb16c30566d630380a16

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T04:22:34.011628Z digest=sha256:2b7e52f01f344486813460953761d14212b729531d887212708e4f63b8532063

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T04:22:34.015907Z digest=sha256:9a198e9cc347d689f0be08efc9677a14a3e01aedbe6d4e28263107f2fa4f469a

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:bff17bd34aa22882ce298f0bbf3da9e9efcc2602e41969ecfb5dc021e01cafbe

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T13:39:17.854111Z digest=sha256:504bb40e76fd8dde09390c53d24ba7dc7bb60f4e96aa3b8dcc58efbccf3b52ae