Paper Citation Record · LEDGER

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation

As of 6 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2604.19941.

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

pith.paper-citation-record.v1
2604.19941 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T03:09:49.380895Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T03:09:49.380895Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-10T03:14:08.329444Z

Reference resolution

20 of 20 outbound references displayed

verified exact2
verified fuzzy16
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 12079909-dac4-4250-98ee-a014d4655efe · outbound

This paper cites CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation.

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-10T03:14:08.330675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 064b12fe-17f3-4792-b5a4-c097294d8552 · outbound

This paper cites Local Endpoint Estimation (LEE) This stage seeks to simulate the progressive increase in crack length.

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation Local Endpoint Estimation (LEE) This stage seeks to simulate the progressive increase in crack length

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.871285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5edbc0e8-b72d-494e-beed-73ad5fa11f43 · outbound

This paper cites Experiment Setup To validate our framework, we conducted experiments using the DeepCrack dataset [ 6], consisting of 537 im- ages.

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation Experiment Setup To validate our framework, we conducted experiments using the DeepCrack dataset [ 6], consisting of 537 im- ages

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.869084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fdb94f63-f553-47e8-9dee-f78c6adfccb8 · outbound

This paper cites an unresolved cited work.

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation Unresolved cited work

Reference 4

Resolution: verified exact; doi, observed 2026-05-10T03:14:07.461596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b9ba72d9-1383-4715-b3d3-acce7793195e · outbound

This paper cites Visual concrete bridge defect classifi- cation and detection using deep learning: A sys- tematic review.

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation Visual concrete bridge defect classifi- cation and detection using deep learning: A sys- tematic review

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.858264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 99df28e4-6e99-4ed2-84c6-14395ad82b27 · outbound

This paper cites Robots in inspection and monitoring of buildings and infras- tructure: A systematic review.

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation Robots in inspection and monitoring of buildings and infras- tructure: A systematic review

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.867107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ad3c3322-e1f7-4aa1-ad2d-0c668dbacb60 · outbound

This paper cites Deep learning for auto- matic vision-based recognition of industrial surface defects: A survey.

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation Deep learning for auto- matic vision-based recognition of industrial surface defects: A survey

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.843494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 048c5345-fd6a-43a8-8b8e-e38d7ba254e7 · outbound

This paper cites Utilizing wi-fi access points for unmanned aerial vehicle localiza- tion for building indoor inspection.

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation Utilizing wi-fi access points for unmanned aerial vehicle localiza- tion for building indoor inspection

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.859864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bda1006c-1437-4ba1-b6d3-627469b25596 · outbound

This paper cites Meso-crack propagation process of concrete based on macro- fracture parameters: Numerical and experimental.

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation Meso-crack propagation process of concrete based on macro- fracture parameters: Numerical and experimental

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.847231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 299feb67-3cb2-48a2-bf82-effbda01974c · outbound

This paper cites Deepcrack: A deep hierarchical feature learning architecture for crack segmentation.

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation Deepcrack: A deep hierarchical feature learning architecture for crack segmentation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.845409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 840725e2-e914-4f09-a643-a8ea4bd75b52 · outbound

This paper cites Se- mantic segmentation of cracks: Data challenges and architecture.

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation Se- mantic segmentation of cracks: Data challenges and architecture

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.851153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 52ec3306-5537-4ee1-b039-2ce873acad3a · outbound

This paper cites Comparison of crack seg- mentation using digital image correlation measure- ments and deep learning.

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation Comparison of crack seg- mentation using digital image correlation measure- ments and deep learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.849321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 42b966d9-2099-46e5-bdb8-d20c16870da3 · outbound

This paper cites Deep learning-based crack segmentation for civil infrastructure: Data types, architectures, and benchmarked performance.

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation Deep learning-based crack segmentation for civil infrastructure: Data types, architectures, and benchmarked performance

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.865041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 71508563-32f3-441d-a70c-7b41f29cbd0f · outbound

This paper cites A new gan- based approach to data augmentation and image segmentation for crack detection in thermal imaging tests.

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation A new gan- based approach to data augmentation and image segmentation for crack detection in thermal imaging tests

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.863323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 32c385d5-3711-4025-b769-bbb1c68c9f2b · outbound

This paper cites Image Data Augmentation for Deep Learning: A Survey.

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation Image Data Augmentation for Deep Learning: A Survey

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:14:08.325608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9a8881b7-59a8-4150-a8a2-31a7426f9606 · outbound

This paper cites How Does Mixup Help With Robustness and Generalization?.

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation How Does Mixup Help With Robustness and Generalization?

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T03:14:08.328205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 25a9838a-6e38-4c81-8529-4bfaebb8513a · outbound

This paper cites Expanding small-scale datasets with guided imagination.

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation Expanding small-scale datasets with guided imagination

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.856601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8818f420-7ca4-4a2e-a9dc-e658acd5ea83 · outbound

This paper cites Establishment and evaluation of conditional gan-based image dataset for semantic segmentation of structural cracks.

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation Establishment and evaluation of conditional gan-based image dataset for semantic segmentation of structural cracks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.853007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a5475a1f-01b1-4d9c-9b6a-c44d3e29c02f · outbound

This paper cites Se- mantic image synthesis via class-adaptive cross- attention.

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation Se- mantic image synthesis via class-adaptive cross- attention

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.861586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6d11776e-cec3-4df0-9592-69e1e60a88c6 · outbound

This paper cites FiLM: Vi- sual reasoning with a general conditioning layer.

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation FiLM: Vi- sual reasoning with a general conditioning layer

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.854843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

Observation 12079909-dac4-4250-98ee-a014d4655efe · inbound