Paper Citation Record · LEDGER

SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2311.15707.

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

pith.paper-citation-record.v1
2311.15707 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:31:55.974072Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:26:00.778881Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b264bea3-0e9b-4664-bc33-78414fe3b21e · inbound

IKEA Manuals at Work: 4D Grounding of Assembly Instructions on Internet Videos cites this paper.

IKEA Manuals at Work: 4D Grounding of Assembly Instructions on Internet Videos SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T18:37:31.626880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a6e504a-9595-4104-b522-b2139fb78079 · inbound

Aim My Robot: Precision Local Navigation to Any Object cites this paper.

Aim My Robot: Precision Local Navigation to Any Object SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T14:59:03.192735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0f94b1a-1cfa-418e-8622-f92832a89bf9 · inbound

PRISM: Projection-based Reward Integration for Scene-Aware Real-to-Sim-to-Real Transfer with Few Demonstrations cites this paper.

PRISM: Projection-based Reward Integration for Scene-Aware Real-to-Sim-to-Real Transfer with Few Demonstrations SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T05:31:55.974072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99822a42-fc7d-45c7-8c13-22d9e954d514 · inbound

Pickalo: Leveraging 6D Pose Estimation for Low-Cost Industrial Bin Picking cites this paper.

Pickalo: Leveraging 6D Pose Estimation for Low-Cost Industrial Bin Picking SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:00:50.569567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3233b158-4943-40be-bdb3-1e56bfcacd21 · inbound

Pickalo: Leveraging 6D Pose Estimation for Low-Cost Industrial Bin Picking cites this paper.

Pickalo: Leveraging 6D Pose Estimation for Low-Cost Industrial Bin Picking SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T19:51:54.946130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b261717-53d9-4472-a8fd-756c040bf549 · inbound

Object-Informed Model Predictive Path Integral Control for Non-Prehensile Robot Manipulation cites this paper.

Object-Informed Model Predictive Path Integral Control for Non-Prehensile Robot Manipulation SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:26:00.780581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.