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Paper Citation Record · LEDGER

HoloLens 2 Research Mode as a Tool for Computer Vision Research

As of 15 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2008.11239.

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

pith.paper-citation-record.v1
2008.11239 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 2026-07-15T06:30:58.975436+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T08:25:16.747828Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 c2bcd8f3-213f-42d8-bf37-41af44c82433 · inbound

The Monado SLAM Dataset for Egocentric Visual-Inertial Tracking cites this paper.

The Monado SLAM Dataset for Egocentric Visual-Inertial Tracking HoloLens 2 Research Mode as a Tool for Computer Vision Research

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:22:55.304020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.

source=pdf_text observed=2026-05-19T01:22:10.478937Z digest=sha256:617748134a72b3fc4ca3a0fc498c214d916bffaace2ca8524977d9a699219e39

Observation a1e085d1-5645-452c-a78c-968bba206e2c · inbound

Impact of Hand Impairment and Occlusions on Hand Pose Estimation Accuracy in Augmented Reality Applications cites this paper.

Impact of Hand Impairment and Occlusions on Hand Pose Estimation Accuracy in Augmented Reality Applications HoloLens 2 Research Mode as a Tool for Computer Vision Research

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:08:50.184184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.

source=pdf_text observed=2026-06-27T02:06:10.716332Z digest=sha256:76adbd90105e8d0139f1d3adff9b42ed3fd72ac4299a7ac2e8a19b553207a171

Observation a94b5adf-09fa-4746-a8d2-3aadd56056d0 · inbound

VOCA: Visual Odometry with Codec Awareness cites this paper.

VOCA: Visual Odometry with Codec Awareness HoloLens 2 Research Mode as a Tool for Computer Vision Research

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:27:18.395662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.

source=pdf_text observed=2026-07-02T19:22:38.845953Z digest=sha256:573a6d9acb702fd57601be2286fade05f581cad1f4e62dbff6452fbe40f8b936

Observation 365db56b-0830-4d85-ad13-173c27db3a18 · inbound

What to Distinguish and How? Opportunities and Challenges of Augmenting Multiple, Cluttered Objects in Complex Scenes for People with Low Vision cites this paper.

What to Distinguish and How? Opportunities and Challenges of Augmenting Multiple, Cluttered Objects in Complex Scenes for People with Low Vision HoloLens 2 Research Mode as a Tool for Computer Vision Research

Reference 115

Resolution
unresolved
no resolver link, observed 2026-07-14T08:25:16.747828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T08:25:16.747828Z digest=sha256:f38fb98c6ff128141629bb4aed7dcb53ffae32dfc58afedd3a5419fe5eee343f