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Paper Citation Record · LEDGER

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs

As of 20 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2502.00022.

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

pith.paper-citation-record.v1
2502.00022 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:08:09.292783Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

52 of 52 outbound references displayed

  • verified exact1
  • verified fuzzy20
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6de8c5c5-7218-46e3-bc32-940d5e49c8c5 · outbound

This paper cites KRAIL: A Knowledge-Driven Framework for Base Human Reliability Analysis Integrating IDHEAS and Large Language Models.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs KRAIL: A Knowledge-Driven Framework for Base Human Reliability Analysis Integrating IDHEAS and Large Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T20:08:09.088917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:08:09.088917Z digest=sha256:89281f8a0d7e280fbec39849789988820cd1a7cad777dc90dc09511583336190

Observation 60fbde8e-6a6d-452e-9fd3-790feea40878 · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:08:09.960005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.093422Z digest=sha256:a8b5e5b1acad9f1213e29138595778d84490e8b806ab0d149bd07024512c5e3f

Observation 33015cf3-dc24-46ee-8f09-e69af7ffed1d · outbound

This paper cites Gertman, H.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Gertman, H

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T20:08:09.098074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:08:09.098074Z digest=sha256:e9dbfff005fa7d1cf8ae35c61029f8d2179e6a86c452d4a7872358488bfcf0d0

Observation 8acb8b49-5ddd-4145-95d2-72429bc5ab96 · outbound

This paper cites Hollnagel, Cognitive reliability and error analysis method (CREAM), Elsevier, 1998.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Hollnagel, Cognitive reliability and error analysis method (CREAM), Elsevier, 1998

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:08:09.940118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.101887Z digest=sha256:add6476f1c41e54fe4ed8e045f72f339f872b64d8eb4de5e09689ba5c3bd9991

Observation 7b506bec-2069-4c86-8c00-4d49681de5ea · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:08:09.928989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.106281Z digest=sha256:704c2481d55e7ff0f627d1a8ca722e3a0bf45b905215d049c7cb392a851ce9b8

Observation 52d58c77-4c4a-4d72-a260-a0404741a0a0 · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:08:09.918733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.110566Z digest=sha256:9d91a64a8dd55acba291959336dce12ed255d56ead525c6977f181b54f0609ca

Observation 7c0df004-959a-4ae3-902e-9759ba5847dc · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:08:09.907748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.114784Z digest=sha256:88a51d24948d8ebca5d02a0121fc346cdbf6013f91a7448f9766c02a9398eb4d

Observation f738f263-1ac4-4904-98dc-d9b5f08cd31f · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:08:09.897528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.119070Z digest=sha256:a17c719e0d96da19c6c6a4a1a270faf05fdcaf5ceb4dd67c25df446010706e31

Observation a70f601d-2d3e-480c-b2bd-111dd7863550 · outbound

This paper cites Boring, M.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Boring, M

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:08:09.887115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.122419Z digest=sha256:01fd61f48cc65f16e10b302ecd48bf010f2ca59c83cb14fc37cdcaeb48ce03b4

Observation 1c914d57-0d52-47ab-bfc2-ce7fcbca2f5c · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:08:09.876347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.125729Z digest=sha256:64d1822f86911af8b072bf410626451b815647fa9ef92eab527b8bd1a5decdb3

Observation 0c4f8e71-7f69-40a4-a401-a0cc940dd45e · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:08:09.865353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.129071Z digest=sha256:71d443e284eec107d1c86fb4d2aeb9650bdc730725890d086b6bfb4c8b02733a

Observation eb5bcc32-c7bb-4df7-b673-96453a2f0519 · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:08:09.855042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.136444Z digest=sha256:0bb13dcb78abe54c4ef31243657a27159b68ae5460cf364a9b603a62b9ab48ed

Observation ea353076-3392-43d1-8fb9-352586b9af20 · outbound

This paper cites Chamon, E.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Chamon, E

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:08:09.843353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.141562Z digest=sha256:39d4080b53384dbff87ae527f682a2d03627ef7c46a89e4c63007b8b47572e1e

Observation 24ad0f47-45ae-45e7-9d9d-41abf5c30d5a · outbound

This paper cites Wright, Towards an empirical test of the iceberg model, Hum.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Wright, Towards an empirical test of the iceberg model, Hum

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:08:09.833929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.145739Z digest=sha256:99020de56849ca2c55dac171b9e1975a099ef3229247d50898b2c6b81bb586e1

Observation 125adf84-0b2e-4f01-84e3-9f971395925f · outbound

This paper cites Domurath, M.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Domurath, M

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:08:09.822897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.150125Z digest=sha256:3601cb424287fc85aab96f5306e8da29c1b24e796330a0a72c6aa06ca6a500e5

Observation c827b687-6e68-4dd2-a1ff-f0c21da594c1 · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:08:09.812201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.155715Z digest=sha256:4db7ff09d1ce2d8db0e97ed010e8b5a414d5b6750088ffa067965a379eccf968

Observation b9fbebb9-595c-47d4-b198-062d527344b1 · outbound

This paper cites Jou, T.-C.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Jou, T.-C

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:08:09.801633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.160337Z digest=sha256:2ef149a99a12e7781602edacc3135dc8cfa83124bf8abbdf25920fc4a89662bd

Observation c4df8ece-4292-47ae-a243-c018d207d0a2 · outbound

This paper cites Bagheri, S.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Bagheri, S

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:08:09.790693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.164418Z digest=sha256:339de888c1209bc7de1d8c39e5c456c19973ee54eaa365b33dca156631716ac3

Observation 0aa4ae2a-840a-4900-8fd0-1767f23b05ce · outbound

This paper cites Brouwer, M.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Brouwer, M

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:08:09.780255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.167967Z digest=sha256:158b55ce001ca7977a9f5481b7117ec1efddc13c2bbcd7abf4ed236e8d88ee45

Observation 79bea60a-fdcf-4568-a7b2-4b1ac63ef1dd · outbound

This paper cites Hassan, M.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Hassan, M

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:08:09.768781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.172265Z digest=sha256:de3ea14ba2d952ef57df0dbf736c83de03de44d3590b7a8e62e0355b9ccc023c

Observation fa743ccd-a94f-45a4-a58c-d39a96749b9a · outbound

This paper cites Delliaux, A.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Delliaux, A

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:08:09.755996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.176019Z digest=sha256:2b398d4aa5a0d2d50feb01a39c8394ca931659398ab7d48aec50956ca8102efe

Observation 25d31787-2ff2-4d45-a3b7-6cc68a3884fd · outbound

This paper cites Marquart, C.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Marquart, C

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:08:09.745157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.179828Z digest=sha256:929c03b6a83f4f993bc6c6331445db3b4db7daa0dc06aa7958eb949e75def2e3

Observation 20dfaf6b-cddf-4001-9fe2-7ff26ec355d1 · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:08:09.733624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.183459Z digest=sha256:317a5f3ba2a3b0ba38b70ea8d0c327e14315e5a8399210d0e6703c9f15772ebe

Observation 5bc99493-46ff-48a3-8c19-af129650b54f · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:08:09.722283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.187043Z digest=sha256:451ebac74fade9244ef337b716b7ae686531876d05852141f2e3c4122cdb93b5

Observation 894b5cb6-0efe-468c-ae7e-6787fe62f07b · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:08:09.712092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.191356Z digest=sha256:9adf971eeb5890731aa9837dc68b66af59cde7d9be4f7286217508f5173b5fc4

Observation 993cac7a-9fc2-4ae2-8ad6-4e1b01c06059 · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:08:09.702277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.194852Z digest=sha256:c7419607ffde4b45fb82d820eb02bebb0054852805c472790c8119011ee618fb

Observation 70b3f511-cc93-4704-a082-bd5635b5c9ef · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:08:09.692516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.199262Z digest=sha256:231a344c0ac8881aa53eae98880c8ec4ddbb4eadd463118867d33ec7049fc2a2

Observation 8b3ae820-1475-40cf-b960-c437259e9cf9 · outbound

This paper cites Paxion, E.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Paxion, E

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:08:09.682687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.203894Z digest=sha256:48b1eaa3c96f75ae53e8c48f60725126d5d2852c3b93786642de34fa53296714

Observation 29621f9f-9718-4ba9-b964-3cfce9b3af13 · outbound

This paper cites Longo, Experienced mental workload, perception of usability, their interaction and impact on task performance, PloS one 13 (8) (2018) e0199661.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Longo, Experienced mental workload, perception of usability, their interaction and impact on task performance, PloS one 13 (8) (2018) e0199661

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:08:09.672064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.207713Z digest=sha256:90a946c30b71fc4166dc1cb354e6400d0c281f6a7aa51054123a1bd0b1c3947c

Observation ab9dcf6f-2519-4de0-8b95-340809e6c9f6 · outbound

This paper cites Dehais, A.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Dehais, A

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:08:09.659633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.212006Z digest=sha256:040873e595f38652c42bcf3072652562fbd133b4d0192e98b35ee2d33a51ec35

Observation 7c9894da-5db2-4ab5-8f82-33b6e6493359 · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:08:09.649188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.215267Z digest=sha256:58b0aecd459a9e188c2044d2f467f8c8ea6a9d5d0b9fe65d65cd1a6b55ac7edb

Observation 86a6cb15-6a4a-4fbf-8797-55d6abe4cc87 · outbound

This paper cites Can Large Language Model Agents Simulate Human Trust Behavior?.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Can Large Language Model Agents Simulate Human Trust Behavior?

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T20:08:09.218983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:08:09.218983Z digest=sha256:f287cb0c41aef7c74e97873fc343e40364d4178eca8193627ae12d798f95a1bb

Observation 219d46d7-7470-4ac4-a71d-18daed9903c6 · outbound

This paper cites Sreedhar, L.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Sreedhar, L

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:08:09.638137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.222618Z digest=sha256:d98c37d07b38d5a03937596c9d13f4ee6098a10e0689e0090cce7d199f236676

Observation 8b0ddae0-bfbd-47c4-a144-5769168946c4 · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:08:09.625877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.226731Z digest=sha256:5a98e41e381aea378bde24e722a61e8e466bb86c4fbf4e1f73498a5094820b67

Observation 38bea5c7-2f88-4d0e-aba1-7fc56a0aff48 · outbound

This paper cites Tjuatja, V.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Tjuatja, V

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:08:09.615790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.230455Z digest=sha256:611591469b167bf533e517aa64be7762c342f95297eae0a6ece082064ce73901

Observation d5174297-4ac5-4dbf-8fdb-1de7a12cca6f · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:08:09.604915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.234062Z digest=sha256:30be078c968b9dbbf7e17454891527b41b0289a7a208e3c785bf8d32e80ff3ed

Observation 38f585fa-d9f4-4b0b-b28d-78167f9dd130 · outbound

This paper cites Zhang, Z.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Zhang, Z

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:08:09.594932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.237616Z digest=sha256:9e2a42f168a7dbca94306bc8c03e041a6455c0f9e7cfe1aeb8f58d22b7308441

Observation cf98dc95-fe0e-440d-afa6-5be3f4ae780d · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:08:09.584772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.240952Z digest=sha256:bd4e0c4811710a3acadbb82f4a1c293fc76b57e87750ab10b0df220bbdcedbce

Observation 9f4e9c71-bfb0-4f14-94c9-a5c69a145fa5 · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:08:09.574800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.244719Z digest=sha256:2e3d7c8f2ac0674202c63f54d047612970a7e931d4cab1929c05c4e7be4e20d2

Observation de464765-5b85-448d-9754-c45fcedb0fbc · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:08:09.563939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.248170Z digest=sha256:f20e4069490dcdd33be2bedaf06e54b8f982a7c14d40eecdd29c7830564988f6

Observation 90a8a6e7-a376-448d-9bb3-699a1e38e5a6 · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:08:09.552725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.252126Z digest=sha256:b4409ac6eb2c266f8aeaa87564e51ae5a621841e8d7caa83fdc9766adda47dd9

Observation 20b13296-0b52-4f3b-b9dd-213f9a0392e9 · outbound

This paper cites How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T20:08:09.255325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:08:09.255325Z digest=sha256:35ad621659dc19c9d73215044be1eddd0fd909ba106bb04c9e470746b406dbe5

Observation 7a815e2f-17bc-41bf-b34c-d1d9721f65bc · outbound

This paper cites Qwen2.5 Technical Report.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Qwen2.5 Technical Report

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T20:08:09.258991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:08:09.258991Z digest=sha256:5acd2db2a0dd6bda4ae04f5bcc2dd91a64d76d381dc03566c5370ed720d5b6b4

Observation 19a05f7e-a6f7-48f3-9e52-ba8e561c9102 · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T20:08:09.262680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:08:09.262680Z digest=sha256:3e868c91e983094c1fdd7e9bed4f37d28960405f2ce0ab2b061cfd06c78d4a34

Observation d4a1e53c-2a6d-4132-96b3-4dbdb28738c9 · outbound

This paper cites Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T20:08:09.267257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:08:09.267257Z digest=sha256:f245bcb282a3e88ce5e7746d6ae91cb49863953ee9b16742bdef913a15c20d35

Observation 2153cbed-b242-4c60-9664-2b000a55c53f · outbound

This paper cites GPT-4 Technical Report.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs GPT-4 Technical Report

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T20:08:09.271634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:08:09.271634Z digest=sha256:91bdd9d1b708b0c45497b3e342aea6723f4d1cdb4f023c135c08557ec5535474

Observation cf6bbb68-0833-4c2b-b429-1e22b9a03ee7 · outbound

This paper cites Shahriar, B.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Shahriar, B

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:08:09.540563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.275255Z digest=sha256:12fe73bb074f16f2752bb2e892be028a1f6f53bbedbd54691010b86a0a7ed000

Observation 8a9b5d9c-d243-4ebe-9f0a-6729e148d69f · outbound

This paper cites A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:08:09.442296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.278583Z digest=sha256:c7e385537487905b648fb0f5d8f44f71ee7ada2e637fcd4adb8ab6d55a0826a0

Observation 3bcc6027-0949-465e-83ab-3fa120930f9a · outbound

This paper cites Ulrich, R.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Ulrich, R

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:08:09.530141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.281999Z digest=sha256:15bed8244cea46c119cc0fdd5c2a13d3670df54b6a738a8deedf2b8a69483161

Observation 39d9074d-c18f-4359-8069-e95429ca9da4 · outbound

This paper cites Preece, Interaction issues for special applications, in: The Human- Computer Interaction Handbook, CRC Press, 2002, pp.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Preece, Interaction issues for special applications, in: The Human- Computer Interaction Handbook, CRC Press, 2002, pp

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:08:09.517319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:08:09.285329Z digest=sha256:23121abed3b1a45319ac5260f8ce829ac3a302c56d8bf2ae111bf727f531f42f

Observation 2fb32254-dd8d-421e-9d2f-dd56bef0f1f8 · outbound

This paper cites an unresolved cited work.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Unresolved cited work

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-10T20:08:09.289381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:08:09.289381Z digest=sha256:d48552603dad49fbb82661c8d72a24dce1a7ab8d4dd3e3b3f03c821665b8d50f

Observation d6200fbe-5f01-49de-bac9-bb1ebd153c09 · outbound

This paper cites DiffusionTalker: Personalization and Acceleration for Speech-Driven 3D Face Diffuser.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs DiffusionTalker: Personalization and Acceleration for Speech-Driven 3D Face Diffuser

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T20:08:09.292783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:08:09.292783Z digest=sha256:df4c9174293247c1193549229d2532c459ed2d16a8acff8cab380ee6bb2a7708

Pith citing papers

No inbound Pith citation observations are available.