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Paper Citation Record · LEDGER

Pavementscapes: a large-scale hierarchical image dataset for asphalt pavement damage segmentation

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2208.00775.

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

pith.paper-citation-record.v1
2208.00775 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T14:32:48.818374Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T06:41:21.122300Z

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 10c551d0-a44a-4876-9856-4cda724d8479 · inbound

PaveSync: A Unified and Comprehensive Dataset for Pavement Distress Analysis and Classification cites this paper.

PaveSync: A Unified and Comprehensive Dataset for Pavement Distress Analysis and Classification Pavementscapes: a large-scale hierarchical image dataset for asphalt pavement damage segmentation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T14:32:48.818374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:32:48.818374Z digest=sha256:eedce6ecc9ade72492fc48e1c56412f16872fc76f6766a9057c1229cc220453a

Observation 6cdd2115-e178-45e4-b3b5-3e4236406209 · inbound

Vision-Language Foundation Models for Comprehensive Automated Pavement Condition Assessment cites this paper.

Vision-Language Foundation Models for Comprehensive Automated Pavement Condition Assessment Pavementscapes: a large-scale hierarchical image dataset for asphalt pavement damage segmentation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:41:21.128263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T17:30:39.410040Z digest=sha256:06ad6b2ae33dc0e86c311863ee71b2e288a607cb51f3cd341e56dd74e7090926