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Paper Citation Record · LEDGER

Analysis of Threat-Based Manipulation in Large Language Models: A Dual Perspective on Vulnerabilities and Performance Enhancement Opportunities

As of 7 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2507.21133.

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

pith.paper-citation-record.v1
2507.21133 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:10:59.271142Z

measured 12 of 12 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

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da33474e-4151-4f58-b4ce-6ee873c7bced · outbound

This paper cites Release Strategies and the Social Impacts of Language Models.

Analysis of Threat-Based Manipulation in Large Language Models: A Dual Perspective on Vulnerabilities and Performance Enhancement Opportunities Release Strategies and the Social Impacts of Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T15:10:29.384845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:10:29.384845Z digest=sha256:e926a0bc7ba327893871f088f0b4160e6b4b40abe241d1afadf01a0822a13efe

Observation 3d1ca2c5-ea5d-4775-a084-2b50966f60be · outbound

This paper cites Ethical and social risks of harm from Language Models.

Analysis of Threat-Based Manipulation in Large Language Models: A Dual Perspective on Vulnerabilities and Performance Enhancement Opportunities Ethical and social risks of harm from Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T15:10:29.453091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:10:29.453091Z digest=sha256:0d17408900a7e6349d38b26106cd1e8e8eacdc4b4b389e0b1292ce1fd23ddc7a

Observation 2c3fa86f-39a3-4e81-aef5-217f6cfced5e · outbound

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

Analysis of Threat-Based Manipulation in Large Language Models: A Dual Perspective on Vulnerabilities and Performance Enhancement Opportunities Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T15:10:29.544536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:10:29.544536Z digest=sha256:0c57b37ec25bf152b5a43e94f248db5f4ad3ef5c5f3b1dfd751e92b6c6ccf011

Observation 57e0cb5c-50dc-4372-99c5-a00dc998b3c7 · outbound

This paper cites Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.

Analysis of Threat-Based Manipulation in Large Language Models: A Dual Perspective on Vulnerabilities and Performance Enhancement Opportunities Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T15:10:29.650261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:10:29.650261Z digest=sha256:9c538ab99f7dcb5a991e263209ee4dd8b0dd48c46f306ede983aeb2bad2f83ec

Observation e42abd7e-cca1-40da-b3e8-4e7f13202a12 · outbound

This paper cites Site-selective ion beam synthesis and optical properties of individual CdSe nanocrystal quantum dots in a SiO2 matrix.

Analysis of Threat-Based Manipulation in Large Language Models: A Dual Perspective on Vulnerabilities and Performance Enhancement Opportunities Site-selective ion beam synthesis and optical properties of individual CdSe nanocrystal quantum dots in a SiO2 matrix

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T15:10:59.349753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:10:29.734696Z digest=sha256:16f87e757b6ae314083ddec755ce4bacad2b3cc8cba4ed2d9b68bfe4a437339f

Observation 0c13e67e-32bd-46f5-82c7-48921592652e · outbound

This paper cites Jailbroken: How Does LLM Safety Training Fail?.

Analysis of Threat-Based Manipulation in Large Language Models: A Dual Perspective on Vulnerabilities and Performance Enhancement Opportunities Jailbroken: How Does LLM Safety Training Fail?

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T15:10:29.806549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:10:29.806549Z digest=sha256:6181bc5f8d64124568de5ce67a50dcecad80d6363b16cb8798140bef94f45750

Observation 9906c0fe-fa27-4c76-bdf0-bedb3f1d5f0d · outbound

This paper cites Impact of Prompt Fram- ing on Factuality in Language Models.

Analysis of Threat-Based Manipulation in Large Language Models: A Dual Perspective on Vulnerabilities and Performance Enhancement Opportunities Impact of Prompt Fram- ing on Factuality in Language Models

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:10:59.430154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:10:29.881977Z digest=sha256:03280f93d2fef88c848b04e86babfe7c41175bbc65d22b537366cac2bcde39ff

Observation ec74a933-b0e5-47fb-b21c-d3665da16403 · outbound

This paper cites Effect of Stakes Framing on Lan- guage Model Accuracy.

Analysis of Threat-Based Manipulation in Large Language Models: A Dual Perspective on Vulnerabilities and Performance Enhancement Opportunities Effect of Stakes Framing on Lan- guage Model Accuracy

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:10:59.420307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:10:29.949507Z digest=sha256:9a3b26cda08e34c82282fbd05d410ed4b93cc63f54c3b92b8b43cc32130f992c

Observation cb85e215-ae71-4b60-ab2c-c3eec2de65a9 · outbound

This paper cites Judgment under Un- certainty: Heuristics and Biases.

Analysis of Threat-Based Manipulation in Large Language Models: A Dual Perspective on Vulnerabilities and Performance Enhancement Opportunities Judgment under Un- certainty: Heuristics and Biases

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:10:59.411381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:10:30.042607Z digest=sha256:30b36194222d8656ac775fc33d7ffd34017008dd37ee2479c1825dc59c85cd4a

Observation d8c93510-e9d5-4c9d-8998-0500105cf399 · outbound

This paper cites Large Language Models Understand and Can be Enhanced by Emotional Stimuli.

Analysis of Threat-Based Manipulation in Large Language Models: A Dual Perspective on Vulnerabilities and Performance Enhancement Opportunities Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T15:10:30.107348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:10:30.107348Z digest=sha256:66699091975d05891da0fe19d7270618982b08be0da8da040479898139c50948

Observation a62397ac-0309-498e-b400-4c80d70a68ec · outbound

This paper cites Whose Opinions Do Language Models Reflect?.

Analysis of Threat-Based Manipulation in Large Language Models: A Dual Perspective on Vulnerabilities and Performance Enhancement Opportunities Whose Opinions Do Language Models Reflect?

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T15:10:57.624128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:10:57.624128Z digest=sha256:84055ddb5eed0883ae575a3d1842e6f4e290e3e5185fe314e0fa0423c897d2a5

Observation 9d788aa9-4758-4f77-bf87-dd98275c3ac1 · outbound

This paper cites Large Language Models Are Not Robust Multiple Choice Selectors.

Analysis of Threat-Based Manipulation in Large Language Models: A Dual Perspective on Vulnerabilities and Performance Enhancement Opportunities Large Language Models Are Not Robust Multiple Choice Selectors

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:10:59.401210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:10:59.271142Z digest=sha256:b5ca551993fa5f8fce0b0c1a9833019f5bd181d914d51e6fde12434dbd8a5e93

Pith citing papers

No inbound Pith citation observations are available.