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Paper Citation Record · LEDGER

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions

As of 7 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 0 inbound Pith citation observations for arXiv:2607.26820.

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

pith.paper-citation-record.v1
2607.26820 v1

Coverage vector

measured 86 of 86 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T20:11:00.934085Z

measured 86 of 86 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

86 of 86 outbound references displayed

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  • verified fuzzy0
  • unresolved86
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b04799a-7e9e-4ea8-893f-cfc2a76a5cbb · outbound

This paper cites an unresolved cited work.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 2

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Observation 95eb2da0-9811-46e9-87b0-374b35a06797 · outbound

This paper cites J.; and Wong, E.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions J.; and Wong, E

Reference 3

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Observation beefb022-6855-4651-9d9f-dd3cf6116c65 · outbound

This paper cites an unresolved cited work.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 4

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Observation d87a9bf6-8131-4830-a09a-34654ee838f4 · outbound

This paper cites N.; Padmakumar, A.; Rebedea, T.; Varghese, J.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions N.; Padmakumar, A.; Rebedea, T.; Varghese, J

Reference 5

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Observation 3d630a9e-32d8-461b-8e1a-2c5e4731c2c2 · outbound

This paper cites Y.; Lambert, N.; Choi, Y.; and Dziri, N.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Y.; Lambert, N.; Choi, Y.; and Dziri, N

Reference 9

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Observation 203007c2-5447-485e-bf87-8a61713f8ae7 · outbound

This paper cites an unresolved cited work.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 11

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Observation 5b4f2678-2f52-4673-9551-11e5e072cd88 · outbound

This paper cites an unresolved cited work.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 13

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Observation 332e71d9-acea-4cfe-9ce7-3d338096f234 · outbound

This paper cites an unresolved cited work.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 17

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Observation f35373a8-ce36-41bb-948e-058f747cdad3 · outbound

This paper cites an unresolved cited work.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 18

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Observation 6ca73399-20c4-449b-aa2d-74bf9b4b1be5 · outbound

This paper cites an unresolved cited work.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 20

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Observation 53eea988-3a68-423c-9892-bb2f7a761413 · outbound

This paper cites an unresolved cited work.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 21

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Observation 80642b6c-5ecd-4e1c-9383-f4e3842c023b · outbound

This paper cites an unresolved cited work.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 22

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Observation 12f1c9f5-62cc-4597-9587-4c7975f2bbcf · outbound

This paper cites an unresolved cited work.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 23

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Observation 2fbd5d3f-2e29-49cc-922f-f68346acd876 · outbound

This paper cites R.; Palangi, H.; Chang, K.-W.; Choi, Y.; and Gabriel, S.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions R.; Palangi, H.; Chang, K.-W.; Choi, Y.; and Gabriel, S

Reference 24

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Observation fe8f6620-6d8a-4cf7-be45-ddb55e9a98bb · outbound

This paper cites an unresolved cited work.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 25

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Observation d41aa80f-521f-4c0e-86a4-8b746013c219 · outbound

This paper cites an unresolved cited work.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 26

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Observation 90926020-1ae0-4115-9593-b0c21e493868 · outbound

This paper cites an unresolved cited work.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 27

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Observation 4419244d-b7c0-4c12-9b51-37459f1e67db · outbound

This paper cites an unresolved cited work.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 28

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Observation 7633a12f-e4fc-43fa-b15a-d28a37444349 · outbound

This paper cites an unresolved cited work.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 30

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Observation c0306bb7-5108-4f32-bb88-2737b13d4881 · outbound

This paper cites V.; Zhou, D.; et al.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions V.; Zhou, D.; et al

Reference 31

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Observation ce33fec6-2db2-460c-9ca2-e19aaf14908c · outbound

This paper cites an unresolved cited work.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 32

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Observation 2d5b0c7c-4002-48db-beb7-f126da137905 · outbound

This paper cites an unresolved cited work.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 33

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Observation f756d820-ebbf-47bd-9c2f-6114608ced2f · outbound

This paper cites an unresolved cited work.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 34

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Observation 30bb70da-4547-4bc8-883f-e64659573590 · outbound

This paper cites an unresolved cited work.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 37

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Observation aac9803e-c520-4528-b253-86e695115fbb · outbound

This paper cites an unresolved cited work.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 38

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Observation 513919bd-00fd-47bc-bdec-7f15550b3655 · outbound

This paper cites an unresolved cited work.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 40

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Observation b25389d1-b124-4a0d-ba5e-2d5431f5cb44 · outbound

This paper cites B.; and Gan, C.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions B.; and Gan, C

Reference 41

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Observation 62af4e16-8249-441a-b8cb-06078e9468db · outbound

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Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Unresolved cited work

Reference 42

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Observation a43f385e-5450-4710-9dee-f047eaca764d · outbound

This paper cites https://www.anthropic.com/news/introducing-claude , year=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions https://www.anthropic.com/news/introducing-claude , year=

Reference 47

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Observation aa3a0831-b16a-4825-83b9-e7d82183d983 · outbound

This paper cites Qwen3 Technical Report.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Qwen3 Technical Report

Reference 48

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Observation 3ac580b4-e13f-4f0e-b00a-b720d0cac06b · outbound

This paper cites DeepSeek-V3 Technical Report.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions DeepSeek-V3 Technical Report

Reference 49

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Observation 12f56da9-e660-4447-bbc9-fe1729953b16 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 50

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Observation 935d5775-c0f1-43a7-94dc-6a862edaf1a4 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 51

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This paper cites Proceedings of the 2023 conference on empirical methods in natural language processing , pages=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Proceedings of the 2023 conference on empirical methods in natural language processing , pages=

Reference 52

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Observation 30b5b061-3b76-4a61-a932-33f0bc455a4d · outbound

This paper cites Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT

Reference 53

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Observation a520c33b-0f4a-4d1c-9888-2ec1a004ccb0 · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions The Eleventh International Conference on Learning Representations , year=

Reference 54

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Observation d649c760-25b7-4320-a791-7c210f302de8 · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=

Reference 55

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Observation f15509d0-d7ea-438d-b09b-9aa2e246a702 · outbound

This paper cites Advances in neural information processing systems , volume=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Advances in neural information processing systems , volume=

Reference 56

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Observation 4b0c5ac8-08df-44e2-a26d-d3df18ea74b1 · outbound

This paper cites Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages=

Reference 57

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source=arxiv_source observed=2026-07-30T20:11:00.799112Z digest=sha256:56538d71cb6129ac9ed3b7fe74ca9200a3fe7dc4ae8f8727cb57e9155353adb7

Observation 38b291c1-42cb-430d-8c5c-1e37555129ea · outbound

This paper cites Neurips Safe Generative AI Workshop 2024 , year=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Neurips Safe Generative AI Workshop 2024 , year=

Reference 58

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source=arxiv_source observed=2026-07-30T20:11:00.802053Z digest=sha256:dcb128ba641f3d5bae84e8165644d216e6a2e4222cabae76e848ff297e8f1239

Observation dcff6aa1-7845-4ff5-a544-76e57401ae84 · outbound

This paper cites arXiv preprint arXiv:2506.19676 , year=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions arXiv preprint arXiv:2506.19676 , year=

Reference 59

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source=arxiv_source observed=2026-07-30T20:11:00.804864Z digest=sha256:61b6ed09274414ab242111cb9861c371b0cfc4226d96f0491b871fc1d9ba1dd2

Observation 781c9b36-9474-4298-80a9-a5729eacc2cd · outbound

This paper cites GPT-4 Technical Report.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions GPT-4 Technical Report

Reference 60

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source=arxiv_source observed=2026-07-30T20:11:00.807643Z digest=sha256:0afe191bacef7f2c26c676cbaab51bb72dbfe2f6bfadbe5b9fed83bb2c588a93

Observation 26d10d7b-245f-4d3e-ba49-196feb191fce · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 61

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source=arxiv_source observed=2026-07-30T20:11:00.810168Z digest=sha256:4947984fb5b16fcc4250531919ddc49264ed63b7c6984342f9b8e6c7f71c5401

Observation fa5e468f-e854-4bdc-96f0-3cc8ca3e3c16 · outbound

This paper cites The Llama 3 Herd of Models.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions The Llama 3 Herd of Models

Reference 62

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source=arxiv_source observed=2026-07-30T20:11:00.814297Z digest=sha256:5132ecc8e8897f8e32219e822f3ef38dab18a4e77a7e6ae534785de9b621abbb

Observation 90cd18b6-7d05-4ac7-bab3-9f916bb123b9 · outbound

This paper cites Advances in neural information processing systems , volume=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Advances in neural information processing systems , volume=

Reference 63

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source=arxiv_source observed=2026-07-30T20:11:00.817416Z digest=sha256:3ef7a584081c9607dc4d195b0ceddb7d2e73b9783b634f78fc18937df9585f92

Observation 1b4bb89b-cb2d-4865-b68b-74e0ba5627b8 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Constitutional AI: Harmlessness from AI Feedback

Reference 64

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source=arxiv_source observed=2026-07-30T20:11:00.820174Z digest=sha256:aae0252f7f028eba029c08f9491ebfa95b5d0ee663b1f4e440478654777acd6a

Observation dda64bf7-ba1c-4f5e-87e6-6f5b8b6c4f10 · outbound

This paper cites Advances in neural information processing systems , volume=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Advances in neural information processing systems , volume=

Reference 65

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source=arxiv_source observed=2026-07-30T20:11:00.823275Z digest=sha256:6d2b82e4cc5d0c255cb889688cc2101c76e6d03b691fe97582828ce300d0bc88

Observation 5741105d-70c7-456d-8104-798747687844 · outbound

This paper cites 11th International Conference on Learning Representations, ICLR 2023 , year=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions 11th International Conference on Learning Representations, ICLR 2023 , year=

Reference 66

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source=arxiv_source observed=2026-07-30T20:11:00.826054Z digest=sha256:5b2dfa08c54790a9b67b4b1fcb2d719953b4d1422394ecff1b68895215995350

Observation fb93efb9-a43d-4713-a883-e8687d47aca0 · outbound

This paper cites Advances in neural information processing systems , volume=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Advances in neural information processing systems , volume=

Reference 67

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source=arxiv_source observed=2026-07-30T20:11:00.829084Z digest=sha256:51a039b7995a3447f85cdc11e2c745f8517f8c4de06ca8187d3360aa49465e1b

Observation 03a360ea-7e0d-4b07-97ef-3758f8313e82 · outbound

This paper cites ICLR 2024 Workshop on Large Language Model (LLM) Agents , year=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions ICLR 2024 Workshop on Large Language Model (LLM) Agents , year=

Reference 68

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source=arxiv_source observed=2026-07-30T20:11:00.832172Z digest=sha256:bff13d9b375ebcd2840ba5a8421837311d3d4fa414da1a1e0a00aac9697daf03

Observation 68eb0662-519c-487d-a6b5-50dcfdf73d2f · outbound

This paper cites International Conference on Learning Representations , volume=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions International Conference on Learning Representations , volume=

Reference 69

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source=arxiv_source observed=2026-07-30T20:11:00.835432Z digest=sha256:27c70d93a9621b1e7bd11b545cb6fe5f8b402165a3a881651b4ee27b95134c18

Observation 9482df31-27d0-4206-a1f2-f1a590ad2f73 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 70

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source=arxiv_source observed=2026-07-30T20:11:00.838280Z digest=sha256:49edf6aa7fd70d90f5819e1622a06d5f152d3873791d2757142108c4033425fd

Observation 2d42f255-50f0-4122-af6a-9515a66fec9f · outbound

This paper cites Advances in neural information processing systems , volume=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Advances in neural information processing systems , volume=

Reference 71

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source=arxiv_source observed=2026-07-30T20:11:00.840993Z digest=sha256:66c69b8a1196e7b7465b4ff908255f22f900818ca658f986d147fe44a25e1bc1

Observation 0b87a18f-da10-46bc-9c18-bfe1fcff9959 · outbound

This paper cites 2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) , pages=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions 2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) , pages=

Reference 72

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source=arxiv_source observed=2026-07-30T20:11:00.843859Z digest=sha256:ac9a50958b91c48d119e8f1244b4d794e605480951f6851c500046f289dbd84b

Observation f707a609-2bdb-4be6-9558-68465fffefa5 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Advances in Neural Information Processing Systems , volume=

Reference 73

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source=arxiv_source observed=2026-07-30T20:11:00.846981Z digest=sha256:92128aee7154648068dd30fa850d46d33c90d0c4f84a63fe095f0e67843b8869

Observation d99b3b0e-af2a-4721-9707-823f31016ba3 · outbound

This paper cites International Conference on Learning Representations , volume=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions International Conference on Learning Representations , volume=

Reference 74

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source=arxiv_source observed=2026-07-30T20:11:00.849735Z digest=sha256:a05635696cc0fc1bdc415cc1ccbe3785fbf57c840727b28be574a5636260174f

Observation 260d5672-0e39-46d5-a9cd-1e57f9513e2e · outbound

This paper cites 33rd USENIX Security Symposium (USENIX Security 24) , year =.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions 33rd USENIX Security Symposium (USENIX Security 24) , year =

Reference 75

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source=arxiv_source observed=2026-07-30T20:11:00.852576Z digest=sha256:304aa6307d904c799e71860a4a70676050d241c5b16dbc65a0443a8b5ee5c033

Observation ba4ba950-383e-45af-b2ca-ed80ef13e0aa · outbound

This paper cites 34th USENIX Security Symposium (USENIX Security 25) , pages=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions 34th USENIX Security Symposium (USENIX Security 25) , pages=

Reference 76

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source=arxiv_source observed=2026-07-30T20:11:00.855343Z digest=sha256:1e8acf68d65a6d6e7a16e7b77c808aa4b3785cdbcdf868509c4a82e54e767400

Observation bc1cc635-b8c1-421b-90e9-9363af1ad12d · outbound

This paper cites Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM

Reference 77

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source=arxiv_source observed=2026-07-30T20:11:00.858023Z digest=sha256:97bb9006cb7d10a68e6a2e20a8bf7730010714b7b1b5a434cf6a743cc2ecb2b8

Observation 7dda0d18-01d8-4863-b6f8-a5e5639c331d · outbound

This paper cites Red Teaming GenAI: What Can We Learn from Adversaries? , year=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Red Teaming GenAI: What Can We Learn from Adversaries? , year=

Reference 78

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source=arxiv_source observed=2026-07-30T20:11:00.860629Z digest=sha256:b5783bcf6a417343c71fa74bc3a13fa2785fdee500ad9294c5803f392d35ef39

Observation e81f7334-9d2e-41f3-bb17-f9a0c649a8ad · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2025 , pages=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Findings of the Association for Computational Linguistics: ACL 2025 , pages=

Reference 79

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source=arxiv_source observed=2026-07-30T20:11:00.863400Z digest=sha256:cdeacaedda0b74b6d1098923decc428adedeb15a5d1d99c331464b9b5b76e736

Observation a3e3c374-3480-4379-9822-543521e36928 · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 80

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source=arxiv_source observed=2026-07-30T20:11:00.866236Z digest=sha256:ef9d6135f1fcff4bead04cea71878bf4082a81af781dd8d8209a97d868e302f3

Observation 86487206-81ba-4049-9915-85cf968b6c41 · outbound

This paper cites Second Conference on Language Modeling , year=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Second Conference on Language Modeling , year=

Reference 81

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source=arxiv_source observed=2026-07-30T20:11:00.869658Z digest=sha256:9404f99fb9a0abc0fe9f747802191429d22f98d8626e7169da9d307bcdcb69e4

Observation d745e40b-7c4b-4bc9-927c-b87461448464 · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 82

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source=arxiv_source observed=2026-07-30T20:11:00.872400Z digest=sha256:8ed838c4c6628dd4b6575b90a4f59c74edf388e6765f0bb682426c42bfc13f9a

Observation 674969db-c7f5-4be9-a03b-a365a16197d4 · outbound

This paper cites arXiv preprint arXiv:2601.20903 , year=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions arXiv preprint arXiv:2601.20903 , year=

Reference 83

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source=arxiv_source observed=2026-07-30T20:11:00.875355Z digest=sha256:678bea6ff56ae9f8078cacb5a1ce9cff3b40198b705ca6f182a2306f67b5417c

Observation 0baaf9e3-a3da-45fd-9117-c5c074ef5db7 · outbound

This paper cites Tempest: Autonomous Multi-Turn Jailbreaking of Large Language Models with Tree Search.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Tempest: Autonomous Multi-Turn Jailbreaking of Large Language Models with Tree Search

Reference 84

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source=arxiv_source observed=2026-07-30T20:11:00.877932Z digest=sha256:0edf620461dffc9514fe4e489ca44b8a702d6c4327887aeb462782ed470e5af9

Observation 827e16a9-8ddc-4718-9556-0f5e74388612 · outbound

This paper cites Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 85

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source=arxiv_source observed=2026-07-30T20:11:00.880602Z digest=sha256:28b5d4613b2d5401dda826da5e49cc3face37ac8cf7e1c19908a09a3080407cb

Observation a306d267-eafa-4c93-9d8e-1846f83c4c53 · outbound

This paper cites Advances in neural information processing systems , volume=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Advances in neural information processing systems , volume=

Reference 86

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source=arxiv_source observed=2026-07-30T20:11:00.883238Z digest=sha256:ca0f36fdedbd380e89a137f845b3bda934175093523f2c3422ff771f223e7640

Observation a0fa777e-01e2-4390-a66c-077a15c30b3b · outbound

This paper cites ShieldGemma: Generative AI Content Moderation Based on Gemma.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions ShieldGemma: Generative AI Content Moderation Based on Gemma

Reference 87

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source=arxiv_source observed=2026-07-30T20:11:00.885849Z digest=sha256:b32bf345db90b64e4562d72a92ef84910374ef18ee57099f1e655f1b3d84ded8

Observation ed0c3849-3f89-460d-9de2-e723ffc92b01 · outbound

This paper cites Qwen3Guard Technical Report.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Qwen3Guard Technical Report

Reference 88

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source=arxiv_source observed=2026-07-30T20:11:00.888291Z digest=sha256:b7e290acde9f7bce623c2b40683e25a9f04437b1e4db8635d41e4a9a4a67a29f

Observation 179e612a-7c79-4714-acc0-b4ed86173224 · outbound

This paper cites Neurips Safe Generative AI Workshop 2024 , year=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Neurips Safe Generative AI Workshop 2024 , year=

Reference 89

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source=arxiv_source observed=2026-07-30T20:11:00.891218Z digest=sha256:694c9d949c7645c046a6bc52a1687195b4ea1d694202a3e53bf69d9d8e4747af

Observation 60b961d5-0b2a-4270-b6d6-8ddc72b160b5 · outbound

This paper cites Proceedings of the 31st International Conference on Computational Linguistics , pages=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Proceedings of the 31st International Conference on Computational Linguistics , pages=

Reference 90

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source=arxiv_source observed=2026-07-30T20:11:00.893973Z digest=sha256:9a39fd8304f4863d8456e9428f226452c1411fcb8d8319a04f59e8a1a223c080

Observation d0dc5397-0492-4fec-a2ac-d5f2e3431b10 · outbound

This paper cites arXiv preprint arXiv:2509.26345 , year=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions arXiv preprint arXiv:2509.26345 , year=

Reference 91

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source=arxiv_source observed=2026-07-30T20:11:00.896950Z digest=sha256:aef95afc0dbc1fca8fc83452e707ad81c74aed503b10aa976f6373153abd69bf

Observation 67a46615-752b-437d-a974-d2ea99e7ec37 · outbound

This paper cites Second Workshop on Agents in the Wild: Safety, Security, and Beyond , year=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Second Workshop on Agents in the Wild: Safety, Security, and Beyond , year=

Reference 92

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source=arxiv_source observed=2026-07-30T20:11:00.899832Z digest=sha256:9a3401f92bf2f5c71eb916177bf65b57dcbbc21cb7b416e001980a98ea6c1490

Observation 82767835-094e-46f9-aa06-f2f568482527 · outbound

This paper cites THRD: A Training-Free Multi-Turn Defense Framework for Jailbreak Attacks on Large Language Models.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions THRD: A Training-Free Multi-Turn Defense Framework for Jailbreak Attacks on Large Language Models

Reference 93

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source=arxiv_source observed=2026-07-30T20:11:00.902525Z digest=sha256:12361a3d8940a693566eb095a9c3a5af40117dc5e3b373097b989e3c610d33ae

Observation c495ee18-a10f-44ed-8641-5329942d9ac6 · outbound

This paper cites 0: A diverse ai safety dataset and risks taxonomy for alignment of llm guardrails , author=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions 0: A diverse ai safety dataset and risks taxonomy for alignment of llm guardrails , author=

Reference 94

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source=arxiv_source observed=2026-07-30T20:11:00.905231Z digest=sha256:a7cb3703b10c8375b7a40d6b6f42b5f7f613411bc63225b9a52508db4f6dd86b

Observation 986e7d97-588e-47c2-8889-3b4b14ea3acd · outbound

This paper cites HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

Reference 95

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source=arxiv_source observed=2026-07-30T20:11:00.908002Z digest=sha256:dc6ac068c5f4600b5bd47909a9fe87178cd1bcb40993b4e6134faed0ffdb0a27

Observation 7053110e-fbad-4572-acfb-bcda29feb0bc · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Advances in Neural Information Processing Systems , volume=

Reference 96

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Observation cdfdea83-5be2-4649-a919-2f44721edf1e · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Advances in Neural Information Processing Systems , volume=

Reference 97

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Observation 754fa630-378c-49ed-9692-9ed5b6c1dec2 · outbound

This paper cites International Conference on Learning Representations , volume=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions International Conference on Learning Representations , volume=

Reference 98

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no resolver link, observed 2026-07-30T20:11:00.916633Z

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Observation ebea8a40-8b99-4396-8cd8-b56c0929cae9 · outbound

This paper cites Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 99

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Observation 38cdd77d-fbb6-4eb6-923d-64af12f45788 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Advances in Neural Information Processing Systems , volume=

Reference 100

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no resolver link, observed 2026-07-30T20:11:00.922163Z

Source-reported events for the cited work

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Observation 3f8c4f48-0118-4aa6-b2b1-ddb2dd676df9 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2024 , pages=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Findings of the Association for Computational Linguistics: ACL 2024 , pages=

Reference 101

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Observation bd49ad74-eb83-48dc-8999-60f30759da95 · outbound

This paper cites Proceedings of the 47th international ACM SIGIR conference on research and development in information retrieval , pages=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Proceedings of the 47th international ACM SIGIR conference on research and development in information retrieval , pages=

Reference 102

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no resolver link, observed 2026-07-30T20:11:00.928017Z

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source=arxiv_source observed=2026-07-30T20:11:00.928017Z digest=sha256:474ce11e87598f61eca12fdcc755103ab66c0d7316a49ff8ae32c5dd92e63bbc

Observation a757a35e-e8b1-48e1-95a3-284d8d8e11e4 · outbound

This paper cites Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing , pages=.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 103

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no resolver link, observed 2026-07-30T20:11:00.931174Z

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source=arxiv_source observed=2026-07-30T20:11:00.931174Z digest=sha256:8c0b7d28ebceb90ebf055d6b72259572fe7a976f2f7190aba775e3ca9507e16f

Observation 7c6a2151-4ae2-41bf-b554-84ba6e4f3f47 · outbound

This paper cites LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models

Reference 104

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no resolver link, observed 2026-07-30T20:11:00.934085Z

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source=arxiv_source observed=2026-07-30T20:11:00.934085Z digest=sha256:3a98ae7da5562adacec3d159803c832f5e850b766088c5f26b9c0e899ab78460

Pith citing papers

No inbound Pith citation observations are available.