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Paper Citation Record · LEDGER

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2508.20243.

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

pith.paper-citation-record.v1
2508.20243 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:17:43.809318Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

  • verified exact4
  • verified fuzzy34
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05dbcb3b-1be4-4259-9939-3b79a68b8f78 · outbound

This paper cites W., Stucker, B., Khorasani, M., Rosen, D., Stucker, B., and Khorasani, M., Additive manufacturing technologies.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification W., Stucker, B., Khorasani, M., Rosen, D., Stucker, B., and Khorasani, M., Additive manufacturing technologies

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.420281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 12e0e334-57b2-416c-80f3-83105e581165 · outbound

This paper cites L., Jain, H., Rollett, A.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification L., Jain, H., Rollett, A

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.412120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.682475Z digest=sha256:09e75e26eb9a9551d831450666f5e37454b2d8ef1cb40ed4ee589f5f102282df

Observation 59ab141e-d33f-48a2-abd7-9e34d6ba72da · outbound

This paper cites F., El Haddad, R., Zimmermann, M., Wood, G., Lamouche, G., Wanjara, P., and Zhao, Y.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification F., El Haddad, R., Zimmermann, M., Wood, G., Lamouche, G., Wanjara, P., and Zhao, Y

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.404364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.685726Z digest=sha256:8e9e9cfb9216395b31c7021b8c8d1bb52bd5df87a9d2a072ec4f3d09e64b61e5

Observation ae874e0a-8e1d-4b36-8bbe-d6d6ba9fe177 · outbound

This paper cites J., Automated semantic segmentation of NiCrBSi-WC optical microscopy images using convolutional neural networks.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification J., Automated semantic segmentation of NiCrBSi-WC optical microscopy images using convolutional neural networks

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.396314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.689110Z digest=sha256:b62bd8d5f928672a017234de957da3d10c543f8312bca520aaf248f4aef806da

Observation d1436f50-2eb8-492d-89cb-bef0eeb9da2a · outbound

This paper cites F., and El Haddad, R., Understanding the Impact of Applying Large Language Model in Engineering Design Education.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification F., and El Haddad, R., Understanding the Impact of Applying Large Language Model in Engineering Design Education

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.388005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.692773Z digest=sha256:92aa7c4ce6907b7ffae59e36bc443a436608a82cd16bcc3bdb48bb510cf2b51a

Observation f6725bcf-87e7-4cbb-98b5-442d112f4e6e · outbound

This paper cites F., Human–Artificial Intelligence Teaming for Scientific Information Extraction From Data-Driven Additive Manufacturing Literature Using Large Language Models.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification F., Human–Artificial Intelligence Teaming for Scientific Information Extraction From Data-Driven Additive Manufacturing Literature Using Large Language Models

Reference 6

Resolution
verified exact
doi, observed 2026-08-05T15:17:43.842696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.695810Z digest=sha256:bfa1dbbb5657af0de4ed1f7513d3423e0567e148b3ed895de51a833718ae2999

Observation ca7e5e2d-12c5-41d0-aada-060057ea6e4b · outbound

This paper cites E., Bian, S., Fuh, J.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification E., Bian, S., Fuh, J

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.379387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.699318Z digest=sha256:abcd88032020df732777ba032c076e9a0c9e42e5807b578ad251f20b18d7aabf

Observation 4309f6c8-dcb3-4c45-8846-59f38b10926d · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.370981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.702238Z digest=sha256:dbaacb997cee37006e1deb21c707ba35f04e5c0f11f0313b60bfd9e3b24b5dc9

Observation 255e5fc7-c8f0-41fd-85a2-144b1971e9e1 · outbound

This paper cites F., Advancing machine learning in additive manufacturing: Perspectives on data challenges, model development, and industrial adoption.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification F., Advancing machine learning in additive manufacturing: Perspectives on data challenges, model development, and industrial adoption

Reference 9

Resolution
verified exact
doi, observed 2026-08-05T15:17:43.833121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.705206Z digest=sha256:11c54dead7d77a89d68b8fd7417d3512bccd4acee4e7b78e291d626afa119bc4

Observation 7b839e8f-7371-4908-88c5-2429f5aaeb3a · outbound

This paper cites F., On the data quality and imbalance in machine learning-based design and manufacturing—A systematic review.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification F., On the data quality and imbalance in machine learning-based design and manufacturing—A systematic review

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.362701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.708290Z digest=sha256:064473439ca18a35152ab79c43124ecb6ace465cf26010b039bd151ce5222d0e

Observation c55a6921-967f-43a7-881b-b6bce0f3940d · outbound

This paper cites Advanced Engineering Informatics, 2025.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification Advanced Engineering Informatics, 2025

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.353627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.712228Z digest=sha256:05d72c1612515854666fb37582555ad5543ea421cf264ba6cd38e999c70c7d27

Observation da09a0e8-58a7-4c64-aea0-57254946ccd4 · outbound

This paper cites an unresolved cited work.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:17:44.345640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.715383Z digest=sha256:c29dcc165f38c4905d6c01b9e85b8f1d1745bf17b0f46f1d5fe97992a0ef951d

Observation 45cb95ab-91d8-4b37-bb79-acab59b14a2c · outbound

This paper cites and Lee, G., Hybrid large language model approach for prompt and sensitive defect management: A comparative analysis of hybrid, non-hybrid, and GraphRAG approaches.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification and Lee, G., Hybrid large language model approach for prompt and sensitive defect management: A comparative analysis of hybrid, non-hybrid, and GraphRAG approaches

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.337757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.718248Z digest=sha256:83b5a813b6c7e7da47c9956f9f0dff5c7af6b088b4fd84d823733d849ee0a34f

Observation bd0a3155-c68c-44c1-8ca7-8c22bd80a568 · outbound

This paper cites Advanced Engineering Informatics, 2025.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification Advanced Engineering Informatics, 2025

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.329824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.721004Z digest=sha256:9bd2ead38acbd4de68459f04c59d68777655dd88f8c772a34d2497383f5f0dc8

Observation 9c126a01-0956-452e-82a9-3e16f7fd3122 · outbound

This paper cites and Olivetti, E., MatKG: An autonomously generated knowledge graph in Material Science.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification and Olivetti, E., MatKG: An autonomously generated knowledge graph in Material Science

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.322032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.724005Z digest=sha256:5480e60b9a2fd9136fced4a879c311ba856d55f2b97383ba4d82178ca4568f13

Observation 104ecd7a-69ab-4a38-b3e5-c1540cbc4681 · outbound

This paper cites Advanced Engineering Informatics,.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification Advanced Engineering Informatics,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.313399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.727053Z digest=sha256:5003b241d84990c23cef13c1332c56936f707675fff98d8926616743496d8d04

Observation 3ca82e22-611f-4335-b3a8-6048271455e3 · outbound

This paper cites and Hadjidoukas, P., Deep learning based automated fracture identification in material characterization experiments.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification and Hadjidoukas, P., Deep learning based automated fracture identification in material characterization experiments

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.305107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.729979Z digest=sha256:bf1b69ff3197d12b0698d2d9efb42c34ef7c4ad16e221096aa940745fdc178ef

Observation 7e368fcf-4518-4096-ae90-d4aa9afda463 · outbound

This paper cites Information Fusion, 2022.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification Information Fusion, 2022

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.296818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.733097Z digest=sha256:318588365a9537ab453b8f8c743e1133a1ae7c7013559ac8fc19f6111c3d8d78

Observation 054dab00-12fd-42dd-a52e-e7a851020686 · outbound

This paper cites The International Journal of Advanced Manufacturing Technology, 2024.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification The International Journal of Advanced Manufacturing Technology, 2024

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.287432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.736008Z digest=sha256:f78c5de54406e704f41dac86979c325224a21697e0bf7cd60300f1321a9886ab

Observation 1900e3e8-bb6b-4823-a2ef-baff7e160a26 · outbound

This paper cites Engineering Applications of Artificial Intelligence, 2023.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification Engineering Applications of Artificial Intelligence, 2023

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.275989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.738890Z digest=sha256:b3eeed2dfa72398dbdb4f988c738ad52f6a7d3fcb22eae15811376b1c07948c4

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.265208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.742648Z digest=sha256:16e2d3c9b4e2fc8f700dac7f4f59657ac2360b82698c18a700f6696953917eed

Observation 1b5904b6-620e-4e0f-a71f-08387475170b · outbound

This paper cites Advances in Neural Information Processing Systems, 2024.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification Advances in Neural Information Processing Systems, 2024

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.254951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.745555Z digest=sha256:040efa054a52fceff3a61e91ecb654f18e3fd55fc876d5d2832b6fad4a71d972

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T15:17:43.748286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:17:43.748286Z digest=sha256:0b431585c8011db01e3b275f556fe76ebbbe6d41f19c70773e1fa8fad5d97258

Observation 41244088-b6af-4053-899d-3abf7958600f · outbound

This paper cites Y ., Large language models: Expectations for semantics-driven systems engineering.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification Y ., Large language models: Expectations for semantics-driven systems engineering

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.245685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.752184Z digest=sha256:87e2e6246827ddd82b3ab1d9861ddbdeed1bfdc34a8426beeb0cda7deaacd4b5

Observation 23558bdc-a9b9-4e9c-a9bd-1c3b71f926f9 · outbound

This paper cites Materials Today Communications, 2024.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification Materials Today Communications, 2024

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.236029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.754752Z digest=sha256:5d4b5d8de084cfe6103efe2ed9ced72acf21262005929c7ea06b2d5fc1b8f5dd

Observation 5a8cc2d2-d3cf-4fc7-b747-42cf6d047521 · outbound

This paper cites an unresolved cited work.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:17:44.226561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.758093Z digest=sha256:c06d684b4b85585707de5a894a0f03ccef3e792abb081f3bcbe4363d49df3e73

Reference 27

Resolution
verified exact
raw_fallback, observed 2026-08-05T15:17:44.077976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.760623Z digest=sha256:da9cd6835117ffde25f3da1bfe5ae94a5023007c4a7c50c329f61416ddb60c26

Observation 8b69d788-e081-45a8-9b3f-285eb473649f · outbound

This paper cites K., Zhang, Z., Seo, J., Kuo, R., Jiang, R., Strubell, E., and Rollett, A.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification K., Zhang, Z., Seo, J., Kuo, R., Jiang, R., Strubell, E., and Rollett, A

Reference 28

Resolution
verified exact
raw_fallback, observed 2026-08-05T15:17:44.006822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.763818Z digest=sha256:e996439458beed77da3be60b90faa62e8de5811b9b352fb03d48593435f7e8d8

Observation 6204b16a-4333-4803-8c28-0f1860cb6609 · outbound

This paper cites Advanced Engineering Informatics, 2025.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification Advanced Engineering Informatics, 2025

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.217868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.767305Z digest=sha256:ca39973d461c9adc85748e4dc907651318177dfc619a15555854f2e2451b5bb7

Observation 1d170108-dae2-4483-a32e-bf2248c64f09 · outbound

This paper cites Advanced Engineering Informatics, 2024.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification Advanced Engineering Informatics, 2024

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.209460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.769990Z digest=sha256:e8521f8e8164c92f3bcc5ae1dbe1373a0dd3c85010c99c676b6377a608ff5a5b

Observation aa8c52f8-362d-41bb-95f2-63e63affec4d · outbound

This paper cites Advanced Engineering Informatics, 2023.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification Advanced Engineering Informatics, 2023

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.200312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.772913Z digest=sha256:9f3aab9bd2fc19155879e85624e93c39435362686cc0533a8accb0478da3b049

Observation 9f5b956e-bfbb-4149-83dd-f185fcb3afe3 · outbound

This paper cites and Yin, X., Tailored Vision-Language Framework for Automated Hazard Identification And Report Generation in Construction Sites.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification and Yin, X., Tailored Vision-Language Framework for Automated Hazard Identification And Report Generation in Construction Sites

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.190891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.776045Z digest=sha256:27616bb4bb3cd02b9665dc31c147b5869f5b35b391c2f783a620a1b83649e93e

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T15:17:43.779067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:17:43.779067Z digest=sha256:9b47cceb4d6e266fc87ba02a2ba1a2a4fe4f2db031c1eb382c5d833b539df027

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.181078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.782166Z digest=sha256:618b9b08a815dd7fd786e51c732fb63f25106e4d44b9a772c29cc4aa50abe8f3

Observation b2ab8a05-eee3-4967-93a1-0af9fbc82825 · outbound

This paper cites Automation in Construction, 2024.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification Automation in Construction, 2024

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.171609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.784800Z digest=sha256:5ebbe885d2d1f5cc123432889147fc14a6e73c9863ab86200182837930eb4c4e

Observation f6af15b5-4731-4158-8f82-83c1264550c0 · outbound

This paper cites J., Cephalo: Multi‐Modal Vision‐Language Models for Bio‐Inspired Materials Analysis and Design.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification J., Cephalo: Multi‐Modal Vision‐Language Models for Bio‐Inspired Materials Analysis and Design

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.161479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.788888Z digest=sha256:4116ab5b40fe6ae92525f562f2d94d0e7381ac821b37f3ca5face52c5bf9fed0

Observation 81652ad2-06bd-4778-9f94-7e7dc9ce2b1f · outbound

This paper cites an unresolved cited work.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:17:44.152460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.792498Z digest=sha256:0bc9b01b9d148d740d655de5aa2bcd9847aa8428b19713add65e322568ca59e2

Observation f3624d59-b6eb-4508-9756-e3189e16a4f9 · outbound

This paper cites J., Materials science in the era of large language models: a perspective.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification J., Materials science in the era of large language models: a perspective

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.144074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.795124Z digest=sha256:066787fe4826087844333d3550d1c72b0b7389645f97ee6c4580ecf075b2b910

Observation 8d1f8b3b-5312-42ac-8c31-5e9f16934928 · outbound

This paper cites S., Desrosiers, A., Andreaco, A., and Sangid, M.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification S., Desrosiers, A., Andreaco, A., and Sangid, M

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.134955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.798167Z digest=sha256:351e3a81f4755bc118fca27e605872804e78fad3d1ba50b7f32ac4cb78c0bece

Observation 0c329617-f528-481a-8f67-5968b5574281 · outbound

This paper cites I., Lamikiz, A., and Mayr, P., Digital Twin of the laser- DED process based on a multiscale approach.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification I., Lamikiz, A., and Mayr, P., Digital Twin of the laser- DED process based on a multiscale approach

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.125744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.800969Z digest=sha256:09fe99c77c3a38e4e6132e186847d3e705e89156758b10145c870f40314db04c

Observation 489c4d7f-f3a3-40eb-a68a-9f7b38cac18c · outbound

This paper cites L., Bose, S., Bandyopadhyay, A., Schoenung, J.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification L., Bose, S., Bandyopadhyay, A., Schoenung, J

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.116675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.803797Z digest=sha256:f1eeed7abcd19dcae2c77b6d02172fe9ad52fd3534ea925277acef51e1d13621

Observation 112f498a-f302-4ccf-baf2-f8dadfbd599e · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., and Clark, J.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., and Clark, J

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.107463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.806659Z digest=sha256:56c638016b5faf942498269272f067ef794370f5756750e02ea94a06c2e577a4

Observation 424a96e3-ed16-4169-9b36-def7f3be5819 · outbound

This paper cites Flava: A foundational language and vision alignment model.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification Flava: A foundational language and vision alignment model

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:44.097796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:17:43.809318Z digest=sha256:157f8a30473e0f95df7d5673b79a62f4375de71925c274f3af67ce61d5f0e37e

Pith citing papers

No inbound Pith citation observations are available.