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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 18 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 2026-08-18T06:34:40.430872+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=sha256:4ddc906ee1963f2820ac0b1b5e674cd4fa44c8e0d8b012cbf18159d5635bd976

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.093422Z digest=sha256:3a500c36b7db0ed6e4af84971887643e743584520b3ae35d7d9178b268e432f7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.101887Z digest=sha256:37b60578e69ee97dc700b0d65625e2e40db3ad959079dfc26243dd067d86b011

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.106281Z digest=sha256:6719af40d0849550faa6512646f206e60550623850d5672deb1e09595319bf03

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.110566Z digest=sha256:e96c1d839e4f72bc08914511e0b0f4697eb2056e4510fd4cf5012ee5fac06b58

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.114784Z digest=sha256:5a393e95a756f23ab578dd423f5357fd858056a47e0b000a7b0605a3a0838ddc

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.119070Z digest=sha256:b63cc2378d88b9a612cf251d92f71ad49fb02e076b4099aacf5c873a7fcbf788

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.122419Z digest=sha256:c71376c95377b74016d09ef9b7a999edb6bc4dfe78ed088b7dc95299a5870d70

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.125729Z digest=sha256:968538d70ee10b770657de85f2618cda68d031a5e717e54910eb4ca08473c2e8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.129071Z digest=sha256:d02cbabf74e3ba36127eb25c1705fce384a02babbd5f20d41e8c84a7e49daeb9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.136444Z digest=sha256:8af12eb2d15468d0dc32d1740e9c5fc3f51bc6c3e9fca04dff3b64f346064a61

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.141562Z digest=sha256:a557198dfe11a16791fe815297485598c4d8cb34b783f5749dc879cc638eb4af

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.145739Z digest=sha256:67af563e1b9b23f08c222ca07ab956c22212a668664d09d0b1c002a396d59903

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.150125Z digest=sha256:ff5f9b89ddee5e564665b9d3fa4f5fb9be973bd6fc806d2ffd146e525584ef2a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.155715Z digest=sha256:671e7ff71ec80bb8a6c8f88654aede6fcac5478ebe76f70c0cd22a1f83dd4085

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.160337Z digest=sha256:b7d89377e6ab378633072d8275cf4cbf502bac1114a005d7d2e4b31a7974d2d4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.164418Z digest=sha256:a2cda069c24e166d421b02383191890030f2835c6d8692416d936672e3f64725

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.167967Z digest=sha256:5ac425d0334182c213e8c73ea519f12a99eb20bd316c4fbe8cdca80d9fa1a15f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.172265Z digest=sha256:059f92ab01159320af3fa2fe5539d14592836545d458f268d72a5409cdc0dfb0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.176019Z digest=sha256:aee271ab9a54d22ec148a12923f8558ed0077f05ffd32726dfd53da90bca0c4c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.179828Z digest=sha256:3481d87119dff0892062ec085c269f530f0f33b9bcd35e62a04ed58a5aa29ea9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.183459Z digest=sha256:d133f03888d6b3f47205dcb8818559236cc306ef52387ec09acb3fed6e1a8347

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.187043Z digest=sha256:6e32f4ae9cf7ae8b55416e6adaf1d6454f9b89f5096d342dad02125a9cf51880

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.191356Z digest=sha256:92812a60798a90d093ed06977ab8ce68d4647da5d8676f92af7c4047e56feaa9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.194852Z digest=sha256:aba740f2bdda32f05da54c972c6e884277dee91b002f8a35d5a06debd6ad7b55

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.199262Z digest=sha256:879372c068f97976497d37c83159b14784e67f31cf1a4ab11e43af1bd89aade4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.203894Z digest=sha256:65c1d4093de8ec6fbdc38a00f3781e2ca19c5667a94d85b8a3534c5d3e6c18cb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.207713Z digest=sha256:a29d310ac8795b1cb8c8861eb3703a080a4b99d47aee687c34c802328f470bbb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.212006Z digest=sha256:4eeaa67ff77ed905a552b24b3544b2c252b8504a520463c8fa7b750940185bce

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.215267Z digest=sha256:7078babc746284176624dd602e2a4279a2684865ad9ee10331809148dae736ae

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.222618Z digest=sha256:1dc379924b708fbcfeb8f29d10b98cdd16391e40fb0ac76d0c5aae8294b7918f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.226731Z digest=sha256:8f54fd7b1c417adb0e5bf9f82bb2a602cddc8a77d06826474cbd226a2e8aaefe

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.230455Z digest=sha256:d4c9805f983777494b0b33023779a4de0298f71ef7a8739e5fc8c7f4febee170

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.234062Z digest=sha256:d4adf4f7736aaf09279fd504f711540cd57153dac1a0ef211e865c40d7ee133b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.237616Z digest=sha256:f5c771d1f8c8bb5e52083e6ad11fbd1ccad41207cc9a608402f57046027bf5fc

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.240952Z digest=sha256:7e24a7dee36510ddc845cbaa6581be8a5f0b2587f87b25ad93d54bff973e440a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.244719Z digest=sha256:c0fc9b4bfb3c623499ab81c0cafd86c306165002bb8a5416358658971adf79c1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.248170Z digest=sha256:f9c6946e8c3870540fcd96ab8a2baf5feb6f6b872f504dfd6bef0cee5793fcf3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.252126Z digest=sha256:43af8366e3605bbfecded90e144a9f42384d7e39d2345a73ec01a9e3cad10830

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.275255Z digest=sha256:3539fed0a61b9a144adc84472f916f75ea70f20e8acbd52fa82d10848b282169

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.278583Z digest=sha256:497dc9d24b4c2163a60ab10ed27fd84a9850b3dd0caec42c6f25fa4f04e6430a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.281999Z digest=sha256:5917426f6c8088e9eb5d6cde3b8776c387dc9e131273110f8411239f33cc68d1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:08:09.285329Z digest=sha256:447d739bd0620205a53bc9d592465542e502bd4bef47a1e3f30628a6808ad6e5

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.