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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 17 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 2026-08-17T06:30:58.91139+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:f5bef7f6d18b4c827210c8b71478faff6f00505ae1af0cfbfe4c8cef8a495cf4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.093422Z digest=sha256:035755cb2a18ff7159414e2a670791ccf530824da810dae478872040e2173c1f

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=sha256:4fd85393e2f86fe33ed7a8742a0ccad62cd85a51c79488936b250605600532ce

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.101887Z digest=sha256:63e59ae5b877a465a062b25f08c2d82b84917b9373e5d39d9cd4d1a8d1be6cf6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.106281Z digest=sha256:bfe004d1681f8238b4a10e76562a63fe4cbaa870b3a087130bef394dcd059fea

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.110566Z digest=sha256:566ca11e95446e1f15594f9147586391d7ca28527e4ac09263d256af4bdbcdb9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.114784Z digest=sha256:8b48a4271f55ea4bcac6f3af9e4904c3befd99775caf2dfea5689f2cf3169257

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.119070Z digest=sha256:4adcd0311b2a80dddeca941d3ddb24de0737fae6d3b0056469e7a766f10e6c2f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.122419Z digest=sha256:ed7041f74d51a31d5c6b6fe565212de0f0bd8eb1f3d7de588ce11c650994fbd5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.125729Z digest=sha256:3c680d2e82f38e873a79d04bf4c0cce81ce97ab7ecda1988d3bf694de31f301a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.129071Z digest=sha256:a2846b0d4354965b12c972820dd0a914f406c3152d59801fb3a448613fad35b8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.136444Z digest=sha256:e37c49efa8fe97b6feee542b4c50e75f0622ed38fb0a186fbc2a018618eb53d9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.141562Z digest=sha256:bbf6b9b8c9acf0313be4636fcc3c17f68c0a63d13e70b1c5d1c9077877f92d54

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.145739Z digest=sha256:ead681c4cadc78b0105305ab9e0888e3bc136805713062dd04c15891749f1559

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.150125Z digest=sha256:279f1923649c79a7da8483f606c65b3d003a7b0cbb40a488fec14e3a8201a044

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.155715Z digest=sha256:ce62db2d4660133981d7e94e9697d9235a8c9ce0ad4849a27fe7e762d6c6c416

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.160337Z digest=sha256:694d5d454adb65d9948e9e2005270459c175482be690260c7e7317d61f4d0cdd

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.164418Z digest=sha256:c105f6672ae95a1ea11958770ab456a02fee4edfad0ba87bfe726c31f4e7e802

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.167967Z digest=sha256:fdb96682a79d054f240276502a70c07cb61643b7550abc8da1154c50fe33dbcc

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.172265Z digest=sha256:ad48e5af8598d1318b10d5a1eaf4cfca6f5f0546d19bc629264e0f08c781ffb5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.176019Z digest=sha256:e2134d30f38be00ca8b9a0e287b4b85e32172c31da5ca6ffa70d9422ee38aec7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.179828Z digest=sha256:87c760ed079bd78b5efa5ba2541440b7cbcdf01941809eac00d6b22fea6afee1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.183459Z digest=sha256:478d6cba16268094c05d02054943c930e6f20ee105c5829c51a42cb86e5642c6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.187043Z digest=sha256:2155c930bd1c95d9bdfe76226ad8536424b72cef807083cb7387c28ea841b6f9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.191356Z digest=sha256:3b83fc367d6bc2839c7f2b93089ffb7d1dc4877b4e4fa74da80dd70be31d4af2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.194852Z digest=sha256:974999a413aba804366ac2d57a71158f59dba26cf40b7cbb30915b1fd1376d29

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.199262Z digest=sha256:974d3d0342429239f4b220bcd48a9be92ba8a05ca2f6fa87b96ad3c09cf285d9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.203894Z digest=sha256:f334687c269e252b7df8e6dc5a3d3ef9c48d99b6dc509aadc7758043f4cc88b6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.207713Z digest=sha256:ffe5fb61bc6da18d23a7f4f45ceacae6389e4a7e6fad4b90357004613c810fb4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.212006Z digest=sha256:ec4fb0fee830c5cab09433783be3a3e26ddaaf61a5747c76ef87aa86a1e1bb37

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.215267Z digest=sha256:784351dc6327fc95e1c3a570b84b68a0618589c11ebe9f90d4594b2bb5ffdcbb

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=sha256:9ec9e309150e97443dd8aa640d645a9b39dce895d35c0d928ce2b30990d3b3b0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.222618Z digest=sha256:c3255c475cad659d9cb42bc429488ea861bd3a68e2fad91e4920b5c9f9cd98d5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.226731Z digest=sha256:2c454f6547ac093314ead4b382cb1ca768072453905e2ac0d7a7bb48b6fca400

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.230455Z digest=sha256:91c98b31cf1d39ceb65708b9d946acf1adb5cfb1123d04bdd859f3909fa80d7c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.234062Z digest=sha256:8ba0fa772651873ff7d5e1e793e26c7c6c7707851e82e62ce0e7496577054098

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.237616Z digest=sha256:8a40dc4933a2888e0d033e58abf889ea3991401a963348399a39d6a107151eea

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.240952Z digest=sha256:f7ecbb451a9351edeaa1c6896aee6707ce841c66b8a9fdf0ee91ab620ef22766

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.244719Z digest=sha256:f4af2ef6e07d6f6842d1f883620bebb46ee88bae9b038d2e925bbf0cc27b6d38

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.248170Z digest=sha256:5349ebb9e468a854b7701c00c7a6873854b85e800d7b104c4725e60b04fbd11f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.252126Z digest=sha256:4472a2caca96a6724e80ef06ea028eef95f25e7cb3d76b4c845cf8a44556fbc2

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=sha256:493956f383afc2a5d798b880593ae23c04eca1edbb6a1c5a14bd69945c3770de

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=sha256:205f7a78da6915fe5749c033b5aec61bf6b0fc1f5ca5d185c423bb5cc1efb4ba

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:c71067f8d9df94ee99f542294cde898a86986060c5ab85857d86d62fb552a711

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:da94970c99a2be3cfe733eba4d2e934392dcf7e31048f62d2f2f7f885deeffd3

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:ff917cf34df6dbba8cd10ffac5662d46dc482cd06e81fededa17b8860a188d56

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.275255Z digest=sha256:b60259457ea6968d52986b65e0f80c51138677d74ae1f81952b0cb392d44e036

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.278583Z digest=sha256:d424b7ebb37c5e36f2845ab66b0483bd06195e505b26e03d9a2fa2ab502e08b8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.281999Z digest=sha256:4c8fbb233eb794aca507b2245dbf8df25c2db182565b1f5f49f324508e8a413a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:08:09.285329Z digest=sha256:0dc43b0a3457fc92a317cd33432a377bf21d4059839408b52aeb16975e895e1d

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:dc4b4f03d6ed7ec2ad5a06589ce779f37236baae00920864e2026facc175efb4

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=sha256:9b464b0f34325aefc95c39232015e56c2a1502bf6b44588ee77d44cd47639629

Pith citing papers

No inbound Pith citation observations are available.