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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 12 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 2026-08-12T06:34:41.77262+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=sha256:612814cfb9380cf233a45d72e83e3ef13b4c6566fd5475b12823d4916ea2e373

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.093422Z digest=sha256:96571a04dcc1697603608ce57f11ff98cf3035a65ff760ca05b40b0b935f3bdc

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=sha256:821d4ee1067275c036749212e2830b457d3fbb24ff2383e1fb48f5837e316452

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.101887Z digest=sha256:525628e3157b10e9857768cd03eb7b8fb58619482615648ef168518ccbc1c695

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.106281Z digest=sha256:6a29a704018d35269691de855a4cdb2bd43b74c63d73d74d037d762fbc73b017

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.110566Z digest=sha256:66d9fe3cc118006b0151a0fd2812e598c7932fb30e38b46161bf879708f1dcf8

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.114784Z digest=sha256:4f5076adfcc26e03f88d6694bfda98be3b3bfeb8af077ee3a36bcc3cc3a774f2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.119070Z digest=sha256:280f66b00d548b7abde0cae9ca56aa268fd907718d977d813f146a204349335d

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.122419Z digest=sha256:d0baf0d29d6fe395ad140806610c35fe4b2eb4cb37ff8c4cc0a1304bd0d4c95a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.125729Z digest=sha256:0da3a23dd90b93773f7bf628e67a308dc9e205413e2150ec0e8dbc8fbc397c43

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.129071Z digest=sha256:41d3dccf135a4d4f59e080a2f191d9ca6ca8589c2f622b75db36842d5ff4dd23

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.136444Z digest=sha256:f7a8e655ab4aa9d8630833482f811c3bb0b12ec9b3749492f9c240c1c88a4937

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.141562Z digest=sha256:39397bc41445ad385afb05dbab64844981b9a788f9dc1430c1412628ec94c061

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.145739Z digest=sha256:8b7e33c74388d1f1fc220065723e34055bdd7d723991c222f6ee17adbff2ea96

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.150125Z digest=sha256:bdc327b9f5f7dc9545d0e2d6107ebf06f93affff5d29d121a864b969688f15b0

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.155715Z digest=sha256:c08c45ed120c353eb7acdf0f931c071634c323be1b0efa0491e8d422225490e2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.160337Z digest=sha256:fb717998aed2d361c429cdb38242e0d5bf021bd94d8e3b74e73165e7cf96f5ef

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.164418Z digest=sha256:74c86de5afb409211bd32d9dfe79fe14d41ced4e6e1be18b5b9ba30b83f58044

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.167967Z digest=sha256:c3aff63d4a1272c976ec83259735db3488e58764b88d6e012fbeafac9b4d5887

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.172265Z digest=sha256:43a8fcef3dcd0c9ff3c3c21a50a45b3c8d30d5a96ed20ae521b3292e7b73a811

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.176019Z digest=sha256:cf3640ca8e2b48c7b91ff4c3eded1b720e08f336f7584ba8b86e1a039d4d53b0

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.179828Z digest=sha256:2b973d66225001aa3d7c6588e1e73a33fcb519c67b0e1c6d7bf49f0cf3d30445

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.183459Z digest=sha256:7b9a7bb9257167f9416593966bd1994cfbd632b24125588e33f203a31e5d4661

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.187043Z digest=sha256:ebf7faa1b3421af8e88363ac1f8eb8385bd84fd5e3b77892adfc0cb6cef34419

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.191356Z digest=sha256:f57c11796b4b8f61c33bbaf9ed8fdf9e076982c4c44aca664c04a3e5211ed823

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.194852Z digest=sha256:ba079e3be43ede478fd12417dbbca704581091894f791891c62fcfaa502b8f2c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.199262Z digest=sha256:1407a29a9adf799d15417d58cfa957ef978885351cf08e6ceb18228dd13520bc

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.203894Z digest=sha256:844fa6ae4132630480e4f8a51026cbb5540b01dfa4f2dd0e1783c555efe6f5dc

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.207713Z digest=sha256:82dc797ab46952b8d8c0b315ddcc7721e7732ebeec50e71734f5e90f8a97c457

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.212006Z digest=sha256:303aa50939f0f9e25ab5fc95770f9cd4b1e416029e254b3d5e59191130b3df08

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.215267Z digest=sha256:9641e9c81539ea13a1d691e3137ae6214318380b1c64fa4b6c51c9b236443909

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=sha256:2c43e2c7dceeb37667bb7e4aaba083d415cbe43cf01285cf5ef3f1f9366dfe68

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.222618Z digest=sha256:86d7518212228f2d29e1c9c3714608589a6144fdc377836a8af624954fb0f4fb

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.226731Z digest=sha256:2c65a1b9fd1a4ecb06047bcda1856cc234226cdbc7a5a12e55aca40cb7782363

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.230455Z digest=sha256:4fd8b06f5e4fcd1044b04a8cd08ad0b772b8fac83f1e6beaa34dcadcc55e3cfe

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.234062Z digest=sha256:d301bffb69d9cc15e380f53d2fb1316e6d85a985d34a0ca1ac472eb561a7faf3

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.237616Z digest=sha256:cee72c7f833f449f96981e8d8041fa665d37740109be7fc1c22450c87698d32d

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.240952Z digest=sha256:d9ddbc442f2101e5ea73597a93d7b44a3db96f24259405cd0972e6a6c17a3c65

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.244719Z digest=sha256:433eac093255cc21a598a5d9b4edc53f2c0a8778cb02766ad7605b84b15f3108

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.248170Z digest=sha256:3ab233a8b2a96dd9db8388370b46fa7370b1694883bed3f1d32da014d7bf5660

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.252126Z digest=sha256:1be9bddfe6bf5a550eb43b8bfa28fbb4aeaa4f6ff8a126eacb1a9926c9b53d1b

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:de339676a8c1be6e6954a682f53a3ec1076b225410aca26ee88f705ea29aa014

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:bd45072e5e90fe6f57c25373cbf71e218f3106308c173318f8ff8dde6f0a972e

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:a3cb3c64b68a037f39b35553cbc238006ae23074137518911b2ef23599c2c8b7

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=sha256:258810e402e7cb8065e5e1c1a135ef37c5abd43da1bfde300a157280c93c5ac1

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=sha256:16ed6a7293a1bb5fefcadd328446ec9256125629efd68feb8269faa8b9f6a0fa

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.275255Z digest=sha256:7b7627d4eff2477923d0c9c47599457310f213402a781ee1445e6e975dd92d90

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.278583Z digest=sha256:e3850cac8b761be1ce72228bb070a53f589add5511de31b41312de2d4e57b153

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.281999Z digest=sha256:456e29e65ae8225921d7910224312b621bf22c8624d0aec87f0ff606dc61966f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:08:09.285329Z digest=sha256:47e72a79a96aa4c6f7e01bfa577d2d656f8d35be9717a8392bb095ca99a2ce4f

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=sha256:8660addc0fc7d81177403dde7e589948a31b4a96ca56042e3d7dd1d7d3639a0e

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=sha256:23def4a36012c054054a2ac1cdafe3ee5f575133a5cfb72df75c5f52c64eef05

Pith citing papers

No inbound Pith citation observations are available.