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Paper Citation Record · LEDGER

Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.14151.

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

pith.paper-citation-record.v1
2504.14151 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T23:56:52.009530Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T05:54:18.321454Z

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 d6cd4a3f-14d5-4a89-98c9-0706961c55be · inbound

Memory Over Maps: 3D Object Localization Without Reconstruction cites this paper.

Memory Over Maps: 3D Object Localization Without Reconstruction Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:49:50.948913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T07:46:50.155348Z digest=sha256:27c0c555c19a7488226af4c48e8aad34823d3d7e5caa86399b4083b38ba06884

Observation 5fb9d85a-f6cb-47cf-a8e3-3cc8e247e15d · inbound

RGB-Pointmap Pretraining for Unified 3D Scene Understanding cites this paper.

RGB-Pointmap Pretraining for Unified 3D Scene Understanding Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T21:23:17.944711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T21:19:49.421653Z digest=sha256:416ce0a31984a2889df6571eb3cd1bc333f884757918256f3c717506d6f1bc33

Observation c85c768d-6338-4bc5-a590-a5d43c7e8140 · inbound

Open-Vocabulary and Referring Segmentation for 3D Gaussians Using 2D Detectors cites this paper.

Open-Vocabulary and Referring Segmentation for 3D Gaussians Using 2D Detectors Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T05:54:18.323260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T05:53:26.394245Z digest=sha256:7d6e64ad986ce9a807bfe0444f3e58c1879928c176dc88384f22bcb13b59a147

Observation a0e79cc5-f833-4f3d-98fe-fe58c9fc55c4 · inbound

G$^2$TAM: Geometry Grounded Track Anything Model cites this paper.

G$^2$TAM: Geometry Grounded Track Anything Model Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-11T23:56:52.009530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:56:52.009530Z digest=sha256:8741f8d782e7c6640a44ef869e5224f6238bb7eb89abf892612f015409f8b99e