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Paper Citation Record · LEDGER

In-Hand Object Pose Estimation via Visual-Tactile Fusion

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2506.10787.

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

pith.paper-citation-record.v1
2506.10787 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T22:00:06.298685Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T14:21:06.515567Z

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 706f0a8b-558d-4a8e-80dc-613d64142fc4 · inbound

FingerViP: Learning Real-World Dexterous Manipulation with Fingertip Visual Perception cites this paper.

FingerViP: Learning Real-World Dexterous Manipulation with Fingertip Visual Perception In-Hand Object Pose Estimation via Visual-Tactile Fusion

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:21:06.517905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T22:00:06.298685Z digest=sha256:0fb3af0153109e6a59fcaaa2eb2649b905bf9e0e3e602b93f7325c90c7cc946e