Paper Citation Record · LEDGER

Application of Segment Anything Model for Civil Infrastructure Defect Assessment

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2304.12600.

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

pith.paper-citation-record.v1
2304.12600 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:44:05.632481Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:57:23.240833Z

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 50119ede-b23f-48db-a0d4-c96a282ee239 · inbound

SinkSAM-Net: Knowledge-Driven Self-Supervised Sinkhole Segmentation Using Topographic Priors and Segment Anything Model cites this paper.

SinkSAM-Net: Knowledge-Driven Self-Supervised Sinkhole Segmentation Using Topographic Priors and Segment Anything Model Application of Segment Anything Model for Civil Infrastructure Defect Assessment

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:18:23.986392Z

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.

Observation 750ce8d4-d560-4037-a192-58c8ced3f548 · inbound

On Efficient Variants of Segment Anything Model: A Survey cites this paper.

On Efficient Variants of Segment Anything Model: A Survey Application of Segment Anything Model for Civil Infrastructure Defect Assessment

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T19:43:23.149727Z

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.

Observation 0f4ba6bd-3d04-417a-a6c4-969dcf47faf9 · inbound

Comprehensive Review of Analytical and Numerical Approaches in Earth-to-Air Heat Exchangers and Exergoeconomic Evaluations cites this paper.

Comprehensive Review of Analytical and Numerical Approaches in Earth-to-Air Heat Exchangers and Exergoeconomic Evaluations Application of Segment Anything Model for Civil Infrastructure Defect Assessment

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-08T04:41:11.685261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 695246d4-7f63-43a8-8cf9-e02a621b12d9 · inbound

Promoting SAM for Camouflaged Object Detection via Selective Key Point-based Guidance cites this paper.

Promoting SAM for Camouflaged Object Detection via Selective Key Point-based Guidance Application of Segment Anything Model for Civil Infrastructure Defect Assessment

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T21:44:05.632481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78452ef7-a368-4084-95ad-1342f216b2c8 · inbound

Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines cites this paper.

Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines Application of Segment Anything Model for Civil Infrastructure Defect Assessment

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:47:23.219930Z

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.

Observation 33cd8a39-48d3-4f1f-9975-1c341fa938ec · inbound

Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline cites this paper.

Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline Application of Segment Anything Model for Civil Infrastructure Defect Assessment

Reference 90

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T20:57:23.242171Z

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.

Observation 298dbdb5-329c-41a8-afef-42862fbb407b · inbound

Leak-Free Cross-Validated Stacking with Per-Architecture Calibration for Sand-Boil Segmentation in Earthen Levees cites this paper.

Leak-Free Cross-Validated Stacking with Per-Architecture Calibration for Sand-Boil Segmentation in Earthen Levees Application of Segment Anything Model for Civil Infrastructure Defect Assessment

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T02:43:34.416909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.