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Paper Citation Record · LEDGER

View Independent Vehicle Make, Model and Color Recognition Using Convolutional Neural Network

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1702.01721.

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

pith.paper-citation-record.v1
1702.01721 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:07:16.609331Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T19:08:49.497393Z

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 924c429c-7d26-475b-8828-3176e8e94684 · inbound

Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning cites this paper.

Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning View Independent Vehicle Make, Model and Color Recognition Using Convolutional Neural Network

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T12:07:16.609331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:07:16.609331Z digest=sha256:a058f11b17c427177147f14e76627eb9314749f17ffdab1a921e22af90952da4

Observation 0c1c588a-2249-4ee2-bbf7-72fa9c3ee17d · inbound

Graph Neural Networks for Semi-Supervised Image Classification with Multi-Feature Aggregation cites this paper.

Graph Neural Networks for Semi-Supervised Image Classification with Multi-Feature Aggregation View Independent Vehicle Make, Model and Color Recognition Using Convolutional Neural Network

Reference 79

Resolution
verified exact
local_arxiv, observed 2026-07-03T19:08:49.499081Z

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=arxiv_source observed=2026-06-27T02:16:27.651526Z digest=sha256:4178999f985ac46c88dbebd170dfb748d96b86ec3beb5c0675222a03d751feaf