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Paper Citation Record · LEDGER

PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.04110.

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

pith.paper-citation-record.v1
2408.04110 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:56:21.376791Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T06:41:22.041170Z

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 882c25a1-8e71-4444-bf08-1b5491061cf0 · inbound

Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery cites this paper.

Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T00:56:21.376791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:56:21.376791Z digest=sha256:6ff600719387f2c3ef3b9e2709aa2b0174c5687d7185496aa1c6e7444dffd99b

Observation f77eaf4d-5e9b-409d-b72a-6e216609ae77 · 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 PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T14:32:48.532307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:32:48.532307Z digest=sha256:fc2bdbe7bd817991362d736bda6f2052a946894fd329ca42bf69c09b5adabde6

Observation e640bf31-bb57-4e45-af23-5c35e245fa29 · inbound

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

Vision-Language Foundation Models for Comprehensive Automated Pavement Condition Assessment PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:41:22.160377Z

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=2026-05-10T17:30:39.410040Z digest=sha256:0096245b0cc099c5c17beb835f012e0cd9803e2f4edad176c64c525488d3b57d