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Paper Citation Record · LEDGER

Video Semantic Segmentation with Inter-Frame Feature Fusion and Inner-Frame Feature Refinement

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2301.03832.

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

pith.paper-citation-record.v1
2301.03832 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:20:33.465852Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:56:26.580331Z

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 4e18b9bf-07f1-4d5d-921d-bc6235bca8ae · inbound

Static-Dynamic Class-level Perception Consistency in Video Semantic Segmentation cites this paper.

Static-Dynamic Class-level Perception Consistency in Video Semantic Segmentation Video Semantic Segmentation with Inter-Frame Feature Fusion and Inner-Frame Feature Refinement

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T18:20:33.465852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:20:33.465852Z digest=sha256:6ad7cd4dddd4c001f11168cb2460fb52b81675e33621f47d13c40998719152c6

Observation 0c053cfb-a2ba-437f-9ee2-57e38b1c86ae · inbound

Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark cites this paper.

Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Video Semantic Segmentation with Inter-Frame Feature Fusion and Inner-Frame Feature Refinement

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:56:26.582899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-07T08:52:27.345411Z digest=sha256:87b1b388861edab048f198b8ba5e5e21296c0cdfacf3eee03add321966d23235