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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 15 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 2026-08-15T06:32:42.880941+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:cbae92b57fc78d948a4babadc4c48d63dbe3b7267a8dea7f4d919593054b90d1

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=sha256:378baae1c54b32f8e187faf21a4ae865b4411673101a3e53122e95e3ac61b7ba

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=sha256:0b18d4ea0aa4448beecfaf221bd709741ea9e84717fa149b8a214062fc5c9a25

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:a509cba0602996fc64c87c7bfd8704ad757646b6ee3adcdbabfb88233b41c828

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:10:29.734696Z digest=sha256:961ffce05ee8f2c020cca1c0bce0a64767f49a83baaeb495c72fb4fecee19c5e

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:e4829895bc11cd9e9bb2ae86ef875ca1fee6bc8fa1f63aa9f51f1b313757b751

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:10:29.881977Z digest=sha256:2977f9a1716c59315660710f1a9fb8b3bc331534fe989af49d8ef348a7ead8b0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:10:29.949507Z digest=sha256:08a9a4e89fc0870f2f35ffd8de0b014600839cda0b5a15b2f4965bba902bab2d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:10:30.042607Z digest=sha256:f96b07413058575c8f1ec4827fd43137d5b21429e87427c79a2fc68b91c175a3

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:d987b369fdd2ad68f5c31c6669d24e23bfb70e2f0eaca87494d4691583f4acb7

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=sha256:9ae828de5b5054ed63ed28c2477f9bb259209f295ae5bde15bc5cf744a877e59

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:10:59.271142Z digest=sha256:c76c1a55dac48a7a27dc5c0909900d30459dcdb036787a3fcc4db64cbc1ce5e3

Pith citing papers

No inbound Pith citation observations are available.