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Paper Citation Record · LEDGER

Universal Features Guided Zero-Shot Category-Level Object Pose Estimation

As of 11 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2501.02831.

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

pith.paper-citation-record.v1
2501.02831 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:06:22.539693Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f7f2dd6-517f-42cd-88c5-286dc0776b9e · outbound

This paper cites We show the four views of the six category objects in Fig.

Universal Features Guided Zero-Shot Category-Level Object Pose Estimation We show the four views of the six category objects in Fig

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:06:22.734903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation b0913489-e6f4-4b3a-a1a9-3f2b6fcf8b1b · outbound

This paper cites an unresolved cited work.

Universal Features Guided Zero-Shot Category-Level Object Pose Estimation Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:06:22.688420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a69ae8f5-591b-4abe-b9e9-018a062e203b · outbound

This paper cites 2022) and MegaPose (Labb´e et al.

Universal Features Guided Zero-Shot Category-Level Object Pose Estimation 2022) and MegaPose (Labb´e et al

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:06:22.649244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 45b58db6-a044-4d6f-9100-d5ab4508a532 · outbound

This paper cites 1.3 Details on Regularization Loss Lr.

Universal Features Guided Zero-Shot Category-Level Object Pose Estimation 1.3 Details on Regularization Loss Lr

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:06:22.712048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:06:22.496645Z digest=sha256:d66af81bfa4bdeef374f5bf85a10137a02bcc6ba6d14f86a9ac050d0bf9e3375

Observation fa5a6472-b7c4-4e3d-86dd-280d1aa163ec · outbound

This paper cites Our regularization loss is defined as: Lr = αpLp + αceLce + αdLd.

Universal Features Guided Zero-Shot Category-Level Object Pose Estimation Our regularization loss is defined as: Lr = αpLp + αceLce + αdLd

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:06:22.699953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:06:22.500927Z digest=sha256:7eaca383dcdc93cec8c3c7af7625bbeb8d98900c00bd73aef3422ee54375f01d

Observation f7616f41-516d-4e10-a518-7fde46049118 · outbound

This paper cites 2022a), VI- Net (Lin et al.

Universal Features Guided Zero-Shot Category-Level Object Pose Estimation 2022a), VI- Net (Lin et al

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:06:22.675721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:06:22.509476Z digest=sha256:ea0ab4a9ad3519733463f34e73b01946cb66a8e12444492fe306771c63338f49

Observation 4043d93d-a9d0-4041-8a03-27f4d0d97839 · outbound

This paper cites 2022), Wild6D (Ze and Wang 2022) ans SSC-6D (Peng et al.

Universal Features Guided Zero-Shot Category-Level Object Pose Estimation 2022), Wild6D (Ze and Wang 2022) ans SSC-6D (Peng et al

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:06:22.662253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:06:22.514199Z digest=sha256:121952aa6db3d97f8cae1332d01f3d206956fa27f138928b775a4683adc85dfc

Observation 69062393-9db7-49dc-a120-3850127636c2 · outbound

This paper cites an unresolved cited work.

Universal Features Guided Zero-Shot Category-Level Object Pose Estimation Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:06:22.635552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:06:22.524296Z digest=sha256:586334c5f4ff69a03fe45baa3db5a7dbd8a0fc76e742ccbf788384bd96d728fd

Observation 974307b2-05cf-4287-97ec-805ee74facb5 · outbound

This paper cites 2022), and the results are shown in Table 5.

Universal Features Guided Zero-Shot Category-Level Object Pose Estimation 2022), and the results are shown in Table 5

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:06:22.609309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:06:22.534997Z digest=sha256:6186e3e4d061920c8dda7fd8b39f92dac06ffcf61f4345224f1e14f1ba4f1a59

Observation 26211981-2e53-489f-ae27-ba82d78a202d · outbound

This paper cites 10, and we show the re- sults in Tab.

Universal Features Guided Zero-Shot Category-Level Object Pose Estimation 10, and we show the re- sults in Tab

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:06:22.596667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:06:22.539693Z digest=sha256:e6ea9a66b77e2dd2e915f48e331a477f951eace499f44121b7a5c3d42c06afe4

Observation e09bc9a3-ba54-4ea4-a8b4-2cffff03e4ae · outbound

This paper cites PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes.

Universal Features Guided Zero-Shot Category-Level Object Pose Estimation PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-10T22:06:22.482996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:06:22.482996Z digest=sha256:19f88771654b5394ca3891b4804f71107b3f24345fd50ea72eed9e06026b4ff5

Observation 722e15e7-c202-4b91-868b-bddd018bbab6 · outbound

This paper cites For 2D uni- versal feature extraction, we follow the methods (Goodwin et al.

Universal Features Guided Zero-Shot Category-Level Object Pose Estimation For 2D uni- versal feature extraction, we follow the methods (Goodwin et al

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:06:22.723833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:06:22.492318Z digest=sha256:1f1c136303bc6b7fddaccb35f859f7e3a190446baccdc5f9d0bc76cad1d3b5bf

Observation edcd05c7-3728-4b51-ae28-4c49cb3a05f5 · outbound

This paper cites 2019b), which is quite different from the annotations of REAL275 (Wang et al.

Universal Features Guided Zero-Shot Category-Level Object Pose Estimation 2019b), which is quite different from the annotations of REAL275 (Wang et al

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:06:22.622500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:06:22.530586Z digest=sha256:4783f54f0ff2840867155c0257879fbc8fb7d803c7bdc3dc2736f615466ec83e

Observation 66048664-ff80-4ded-856e-fb43b167f169 · outbound

This paper cites ZeroPose: CAD-Prompted Zero-shot Object 6D Pose Estimation in Cluttered Scenes.

Universal Features Guided Zero-Shot Category-Level Object Pose Estimation ZeroPose: CAD-Prompted Zero-shot Object 6D Pose Estimation in Cluttered Scenes

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-10T22:06:22.477064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:06:22.477064Z digest=sha256:5c34dc26a8a6654c250145acf77dca39cafdb5435f21ceb44bb17c9039531be7

Pith citing papers

No inbound Pith citation observations are available.