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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 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.682475Z digest=sha256:26dac1b6f880f20f76e52f4fbcd997aea5ae98faa161f3a139c5f71b5a41abba

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.685726Z digest=sha256:83daf13c76be48b2402c2ab019f1509a5bc7443e79e4e6dc30f5d62fe0c4f9e6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.689110Z digest=sha256:f50d4e84ca2e8363eeb9d8289c2543101b74f07436729aa5435653fa0f88503f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.692773Z digest=sha256:676a8787f5783bad68dc46bcfcc65f08008f9a2680ec19826f6b3c8af44eac50

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.695810Z digest=sha256:a5c68a8f4578ff4505f315fc3ad50f020bac975977e7975b4db9c5cb1b4509f2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.699318Z digest=sha256:d01a3efdbbba6feee25dcd68826a5f67d8c5b291e4f4e65c9cd65f9af5851183

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.702238Z digest=sha256:241c9081ba3e155aa939ae0650f3470b16ee46e21b0bac032744358335f1ae8f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.705206Z digest=sha256:07814287d2c1d70cff0f77856afc3ad320e81e07a485ab5794edafd2e8363ed5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.708290Z digest=sha256:2569437aa6414ee7957dca9f6ee3a76f18aba00d753c88404607c67f25ef3380

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.712228Z digest=sha256:37c48d07e4a987d9beb7acdb8444a7b7bdb70139ff1cc34f2af9fb8207feddaa

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.715383Z digest=sha256:361555b98715fad3d97ef4bd35f3550ca803fe8ed202439b5a0b1ab7df3afa93

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.718248Z digest=sha256:edaa06d542f583363cc8f26688cf562eb640c6539845ea3f712c00c0bbf005cc

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.721004Z digest=sha256:a9d3b603ba29cdf4b49b619739966d3a33eae0773442b95a28672bf5533f2acb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.724005Z digest=sha256:21c66175162020f17c3bf39b1c8498a0626c312523787129bdf0915c075075db

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.727053Z digest=sha256:b1dec09c61855ae2addd4e6e252f4c2aede816963152bc8b6188557210b4b291

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.729979Z digest=sha256:67bab4e4e9390a49aee358d92e4a9ecb3127700a3a618ae168ae8b88513f4191

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.733097Z digest=sha256:50447dca3f70d8ba9109a60ad3b57d06bc80854637c1e7232c9967ddeaf47fe9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.736008Z digest=sha256:9ec5f41ce81e5fc59f83f8512be972d92ff3bb4f32d31ede10959924535bc8ba

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.738890Z digest=sha256:fdac9d1dc3af82ab4b711a9537e4b1f0e9c68f5d5f1e928d9e8459bec15fb08e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.742648Z digest=sha256:06c6258503c5c8035092fb04825a565a255e65c72b0069c4359d81626a79b201

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.745555Z digest=sha256:6806d9125f38270307f1a946c932e42b3ef3e5e1a02e7ea8cc15165730c08687

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=sha256:86711b1d586961196551eba753fbc5da2c4636fa1fad3d33d1981882cde14834

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.752184Z digest=sha256:37167700745d5f6490f02e12541b5fb46e880fbe73328e56d723e4b7a93a3795

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.754752Z digest=sha256:df017db0329f7a5671ee8b869f24fb7043a53abb913c6156c27787ec844edcd0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.758093Z digest=sha256:dd1e065868a329513c0ce2d06dfca4f7d887ea762ba2e827a6a16f7b5540ec2b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.760623Z digest=sha256:5f615cb609d794e6b105b1c44184c60a1738b44cc4c0dccc8c0f02a0d3f4c99b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.763818Z digest=sha256:14dde44d97059e058c042d6d984978d878cb91f525dd73d8043ab016b1fc74f2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.767305Z digest=sha256:c3af9e064f35d579ba885dbfc2b679ecee632e7441fbffcc38e10c50fd555c91

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.769990Z digest=sha256:9b8c28fdb04b43b6b1f7efe31731c1380b9ad0604b68b72749f39fbb83af9a62

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.772913Z digest=sha256:2e6d2b5d8fbab2209d271f9a8a01681d0cd388c5df3d9da2c5ef0b4c8129f02d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.776045Z digest=sha256:dcb535ea070d9a5aa0951d009c5f674fee8efa58de6ddb5d572e81ea635b4ee7

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:e618eded4f3905589ad7b0862062a66b511e7740d133574c0d902fe4b6e65f64

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.782166Z digest=sha256:c5b095db70689c9707968fd578ec519310b9bfdf479515edca2a15666d14a997

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.784800Z digest=sha256:4384d71e2a87679495177fc97e0063f4d0bf72f860a5336f5e5857de40c2ebc2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.788888Z digest=sha256:083ac8f6b6720dcc4fb7574fb60fd13c522ba1f938737f4a9f5fe8f755ee5516

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.792498Z digest=sha256:2d5c6960acbcff831c0a6d43aaf3cada33019723ea94a5c03def70854ce8d1dc

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.795124Z digest=sha256:7b578e1e6271a633883f71e1a238d33ccff001c723a5732808a1592a3b158be0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.798167Z digest=sha256:7379de194b4f6a2b9d13d96beb59fba1cdef282e33ddd3934581f0473f71f86b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.800969Z digest=sha256:37b8c7967499dc68fff23a1c122b985bcc609b4fff956ec759655b4c87ff36bb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.803797Z digest=sha256:d2204492cec4ce91b7df412a687c51aedf5d1ce95d1adb8c1341791c2f956d26

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.806659Z digest=sha256:c13e0cd9bb5c456a01c6ca021ab612105be2468d70ecfca845c6698e8579f44c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:17:43.809318Z digest=sha256:058c88f6292eef018e42f79b70bf2cf47843ba0573b630475341837bbc9331aa

Pith citing papers

No inbound Pith citation observations are available.