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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 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:20:12.774812Z

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 88960255-95ba-4b78-aa07-87b80f5baede · inbound

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images cites this paper.

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T10:20:12.774812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:20:12.774812Z digest=sha256:31428da8b5db331955d39231fc952f2d20fb02ad4d4ac862a2d665b5fb8528ab

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=sha256:36bee84f346e732c84c5e7ee33d767249d3752dc1f27e6f5c43fa2d2f6c36abd

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=sha256:2c32bfbf82d16ff3573cee681ee903376c551b2ed5f787975b9811458fba9204

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T17:30:39.410040Z digest=sha256:2a32b558763076311bc4c6c4839ae55648ff2e70b8a4870772172174b1da6251