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

source=pdf_text observed=2026-08-05T15:17:43.682475Z digest=sha256:d054541c054db66b2c287dff771048f2f8f6f0577fda8176324d66041aa9f33e

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

source=pdf_text observed=2026-08-05T15:17:43.685726Z digest=sha256:5fd523f0b88fb5f759500c1c50e467a911c6f019cb4a9578b38f33a56f7b8585

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

source=pdf_text observed=2026-08-05T15:17:43.689110Z digest=sha256:c47450bae03e0e30b3c35e0e081395f409bff47d26e2a5c43b1027273fcfca71

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

source=pdf_text observed=2026-08-05T15:17:43.692773Z digest=sha256:28f4dfb6285d7879b2f4da2c90aefb84ac854d73168961e0a43a13ce5d8c00fb

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

source=pdf_text observed=2026-08-05T15:17:43.695810Z digest=sha256:05b97331599e27699907379598ae721e4b8053f60846f03e3af024735431b339

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

source=pdf_text observed=2026-08-05T15:17:43.699318Z digest=sha256:798b439f298c9609a50d214983e415c831353356592e90521076ed88b4a4bd53

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

source=pdf_text observed=2026-08-05T15:17:43.702238Z digest=sha256:e990452075cf1a1107feee17e07c56b61f0c61f15b50d7024bf5b649587c5a7c

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

source=pdf_text observed=2026-08-05T15:17:43.705206Z digest=sha256:18cd68cd9904dcc7f5ada8dae4a475a07ad9d668e7e3e4dec75e30f06c7bd6b8

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

source=pdf_text observed=2026-08-05T15:17:43.708290Z digest=sha256:b87f4afa542c69805d314afe9505875fa1c43a0542f109b871ff276efdd6fea3

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

source=pdf_text observed=2026-08-05T15:17:43.712228Z digest=sha256:e71d256640f2e79faab20cb7ba343ffc1b151cb6264abaa2ce72c401ea991304

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

source=pdf_text observed=2026-08-05T15:17:43.715383Z digest=sha256:d849a37794dfb5946ffaba69d2d930b07aed2f83bb7ca01076b26c6e2dd3fd3d

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

source=pdf_text observed=2026-08-05T15:17:43.718248Z digest=sha256:4ae65ea3035dded88df3b2f2f9fbaf21c8fd491da801e52304cba22f547f5133

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

source=pdf_text observed=2026-08-05T15:17:43.721004Z digest=sha256:8cc13e1ee2e0ff6db48de4ea72b339471cde7ea3394563e6b4960917ff1ba535

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

source=pdf_text observed=2026-08-05T15:17:43.724005Z digest=sha256:32992e9c86fa91b000cfebe8e167399a6f3ccbb892ebce89ad1bee034590db43

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

source=pdf_text observed=2026-08-05T15:17:43.727053Z digest=sha256:262cb57f25de4d09deaaf1ee7529f03c73f73709c8a809e5cb866eb926ff616b

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

source=pdf_text observed=2026-08-05T15:17:43.729979Z digest=sha256:de2c08622630dffc79402aef58b1592325c97e6a1ceaea2bdf9828dc8c6a2666

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

source=pdf_text observed=2026-08-05T15:17:43.733097Z digest=sha256:bc278368ab415ae389c13bf685a1a22d7b777bf2d99b2b0952b59d2ae7202f3a

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

source=pdf_text observed=2026-08-05T15:17:43.736008Z digest=sha256:02c7268081b0f3614197a8fa9de6f13e0cad1c686f1a92ae6b1d9e5cdd391a45

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

source=pdf_text observed=2026-08-05T15:17:43.738890Z digest=sha256:3a6b5894907e419171a5f7d7240f77513e73fd5307862d5c588abb511347f0bb

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

source=pdf_text observed=2026-08-05T15:17:43.742648Z digest=sha256:42430f2c9b11eb61845071ba7517333f5e82d170bb8809c1c0dc19df1122974a

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

source=pdf_text observed=2026-08-05T15:17:43.745555Z digest=sha256:f33c939f64d063749787a73c41d5ed95154097889e02366527e044f71b583e6e

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

source=pdf_text observed=2026-08-05T15:17:43.752184Z digest=sha256:82e9f8d5d9e381f5d6f770cad973a1ed6ee56975d7a1d307ec27a67fdf303391

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

source=pdf_text observed=2026-08-05T15:17:43.754752Z digest=sha256:3176dbaeca31e5a5701ebfb1b55108f7948526c921b9f66787ed08be59b576e3

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

source=pdf_text observed=2026-08-05T15:17:43.758093Z digest=sha256:6966cb0b56e7b25a5d79390f2f6b08073bacdc54816bfe63f32460c5df2172be

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

source=pdf_text observed=2026-08-05T15:17:43.760623Z digest=sha256:3f508a8dd7bf12119cb07b3f10544a42718a4d54f8c4476f23933564f0d9b172

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

source=pdf_text observed=2026-08-05T15:17:43.763818Z digest=sha256:0e81af51403175aad53ee47a3632ec312c85b2e96bac39ec678fc6f611d0077a

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

source=pdf_text observed=2026-08-05T15:17:43.767305Z digest=sha256:7f6939cf7962a9197aa91cc6e7f846a0d5c0257b12208729960fe943c19dc466

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

source=pdf_text observed=2026-08-05T15:17:43.769990Z digest=sha256:65d337c164903f9c376b85e1febbccdcb3e48139b674c71fb05af213bee8ab67

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

source=pdf_text observed=2026-08-05T15:17:43.772913Z digest=sha256:52d7c1851db7aa54786e2f4d50964375f66abefdf56571d1b178d295eb4ecc0c

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

source=pdf_text observed=2026-08-05T15:17:43.776045Z digest=sha256:6bddb17e61bd016f0fb226f8569c01b83109a33b1de6f89c44bb90eaf1791e42

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

source=pdf_text observed=2026-08-05T15:17:43.782166Z digest=sha256:7847f19a763c4c03bfe658938b89a17a3c362783424604db01806b797c9049e7

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

source=pdf_text observed=2026-08-05T15:17:43.784800Z digest=sha256:ae932ba01988e834d22ea521a4cf6c72fcf8af7077aed6e8f92e0a5e15e267da

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

source=pdf_text observed=2026-08-05T15:17:43.788888Z digest=sha256:5f3144cbe8e01576963b4756ef0b49149f406683c19ffa5047e640704cac5873

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

source=pdf_text observed=2026-08-05T15:17:43.792498Z digest=sha256:449a84102989591983e69a3471a828f273dd22d7e456d076afaaa340703a6e5b

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

source=pdf_text observed=2026-08-05T15:17:43.795124Z digest=sha256:377e396c74ec91989c368a330109d6fd56149f6f77487496646659b515b82540

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

source=pdf_text observed=2026-08-05T15:17:43.798167Z digest=sha256:4e48ac41ad09e64c2101dc0e59166461b4db85b083233027865faeaf984ef924

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

source=pdf_text observed=2026-08-05T15:17:43.800969Z digest=sha256:1420b7b55ec75555d483e86849bf63508cfe028ae44dfb515b211f50a5b4fad1

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

source=pdf_text observed=2026-08-05T15:17:43.803797Z digest=sha256:d937d6464437dcacb607c204bd36c032f70828b017e00ea4e37e7e267c04b96c

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

source=pdf_text observed=2026-08-05T15:17:43.806659Z digest=sha256:dc794bc75e73172ea507feddeeb633c964273988f759a0a5e6cd6f9959928da2

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

source=pdf_text observed=2026-08-05T15:17:43.809318Z digest=sha256:bbff4b74ff5e0ca4d12796c13484e78c581369e404934c5c11a6075a91904f24

Pith citing papers

No inbound Pith citation observations are available.