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Paper Citation Record · LEDGER

FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2401.12862.

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

pith.paper-citation-record.v1
2401.12862 v2

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 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:10:13.311903Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T22:10:13.373419Z

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 cc5d37fc-e606-4a9d-8a40-29f70166d243 · inbound

OpenLKA: an open dataset of lane keeping assist from market autonomous vehicles cites this paper.

OpenLKA: an open dataset of lane keeping assist from market autonomous vehicles FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:10:13.378549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:10:13.311903Z digest=sha256:9f7e9cefc774f17ec37bbae97b8f4aceb6b1708f82d61def9e3069b2134a0793