Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
NeuFlow v2: Push High-Efficiency Optical Flow To the Limit
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.10161.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:36:52.194579Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T10:11:27.878321Z
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 7f704418-11fc-4c09-9c26-dbc4a35b34d6 · inbound
MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation cites this paper.
MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation NeuFlow v2: Push High-Efficiency Optical Flow To the Limit
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:36:52.194579Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77c2e749-0eb4-4dff-966f-23a589de09e1 · inbound
A biologically inspired separable learning vision model for real-time traffic object perception in Dark cites this paper.
A biologically inspired separable learning vision model for real-time traffic object perception in Dark NeuFlow v2: Push High-Efficiency Optical Flow To the Limit
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T05:45:52.644051Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3cfcc78-a7ca-4411-85fb-60189ac34bef · inbound
TransVLM: A Vision-Language Framework and Benchmark for Detecting Any Shot Transitions cites this paper.
TransVLM: A Vision-Language Framework and Benchmark for Detecting Any Shot Transitions NeuFlow v2: Push High-Efficiency Optical Flow To the Limit
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T10:11:27.880088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.