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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:09:49.380895Z digest=sha256:496cca703b7e002c8e4c50a703b64c94e470803552dbcdde8e97c964c3865e24

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:09:49.380895Z digest=sha256:cd996bb1cf1912c672de5e31dc9712b6467cba3129c5d63180c80fe82b63b2b7

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:09:49.380895Z digest=sha256:87c02a124105a26b565898382a9f863dd555394d04e2fa06328b44d81488bba6

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:09:49.380895Z digest=sha256:c23762d7df5069a7c0c40a69da7b9aaf41a43da2041523fcc0caca54b5673352

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:09:49.380895Z digest=sha256:5bb117b35ea24c66eb0b3bb41330815face336fde946ff2ad52eed506392db9a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:09:49.380895Z digest=sha256:fe8381ceef329d992739ce646c65a233eef640560e4a0a0581b2211819c6e6b2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:09:49.380895Z digest=sha256:a26369ff699aea4994da2a1155b6f1b33e365a84dab53dc310b6bfc68f516c2a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:09:49.380895Z digest=sha256:c54ec3850746ae670bafee1859b22d3b3b150a611db0593d4c9580e5ce871b4a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:09:49.380895Z digest=sha256:d68c2e3b2480c5b309706540f59b955c4c4d4b5c1959069344a9d15b6146d77c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:09:49.380895Z digest=sha256:a41ec5cc80ed4004f32ab72f3a06a2218d04a0464d17909381135acd073a5cd6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:09:49.380895Z digest=sha256:bd5743522080f14ceb1bc628e762d85d19139520c1f8b84c27720f6d2af22994

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:09:49.380895Z digest=sha256:c2a36b2b3cf018afb357f0c65f066cc53b88016bf555421be4478ab6a87419cf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:09:49.380895Z digest=sha256:34f13c134814acee4fec2bab6387ced9523bea9657668c6dba640a2c7aa07f2c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:09:49.380895Z digest=sha256:a91d3fba0742b960a6a4309591ddafe7fcf84853f2a1eed5a0b6d3ba11534340

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:09:49.380895Z digest=sha256:8e93b9759b48de9c17daaafca6df223b4ec75c14380f78c8d032805bf19cc391

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:09:49.380895Z digest=sha256:11461c6cdd21f9c3faf081d874ade5f0a92b0fa43fe275f52d17e83d76fa32ba

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:09:49.380895Z digest=sha256:0bf0a0cc23de8b14c333c19ff6262f32302e845cdd078a345c3d4d691d1367ca

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:09:49.380895Z digest=sha256:af60be32286b940ed3f98eceddb71d22dfe162615b462d7083021bbf8cea001b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:09:49.380895Z digest=sha256:806a722c8bb8f7f96db5a94309baba777ec26d120d13aa82ae2697de580d86da

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:09:49.380895Z digest=sha256:a2b671dac162d7f17a21d8df118028527fdb4d1c67b1fae4033723bd03604842

Pith citing papers

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

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

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:09:49.380895Z digest=sha256:496cca703b7e002c8e4c50a703b64c94e470803552dbcdde8e97c964c3865e24