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Paper Citation Record · LEDGER

Adaptive VIO: Deep Visual-Inertial Odometry with Online Continual Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.16754.

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

pith.paper-citation-record.v1
2405.16754 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:26:04.286850Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T03:22:56.952910Z

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 d783a0a8-d3fb-44d3-965c-2629ab2142fa · inbound

Online Continual Learning: A Systematic Literature Review of Approaches, Challenges, and Benchmarks cites this paper.

Online Continual Learning: A Systematic Literature Review of Approaches, Challenges, and Benchmarks Adaptive VIO: Deep Visual-Inertial Odometry with Online Continual Learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T21:26:04.286850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:26:04.286850Z digest=sha256:1bc34d7890718417fd97c4ea0889a6c3931c96dcd3a5847849d07cde79406c4e

Observation 127a2959-752f-4bd4-ab9a-e66b206eec6e · inbound

A Robust 5G Terrestrial Positioning System with Sensor Fusion in GNSS-denied Scenarios cites this paper.

A Robust 5G Terrestrial Positioning System with Sensor Fusion in GNSS-denied Scenarios Adaptive VIO: Deep Visual-Inertial Odometry with Online Continual Learning

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:22:56.956343Z

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=2026-05-19T03:22:54.966912Z digest=sha256:23ffa8c896573ed68768e09e87ec8128b0df42f45f348a04c7b913a64efbdf01