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Paper Citation Record · LEDGER

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation

As of 8 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2607.20494.

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

pith.paper-citation-record.v1
2607.20494 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T11:28:40.007247Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

25 of 25 outbound references displayed

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External citation measurements

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Outbound references

Observation 5b4743f3-3b21-45db-82d0-c418e3fada0e · outbound

This paper cites Attackiq continuous threat exposure management platform, 2025.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation Attackiq continuous threat exposure management platform, 2025

Reference 1

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source=pdf_text observed=2026-08-02T11:28:36.796047Z digest=sha256:1ed076d68c97113f7a6d45ced8c717b218dea923a994a03ca23e2ec019f67fa3

Observation a01821a1-0262-4369-bc19-79bd1d0728e6 · outbound

This paper cites JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 2

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source=pdf_text observed=2026-08-02T11:28:36.924563Z digest=sha256:b67f17ae9768bae55f9c521c13893dcd002168724bd6797c40036fae4f1e4a0b

Observation 04f71ced-3e91-4589-a7cd-056abcc58daf · outbound

This paper cites Jailbreaking Black Box Large Language Models in Twenty Queries.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation Jailbreaking Black Box Large Language Models in Twenty Queries

Reference 3

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source=pdf_text observed=2026-08-02T11:28:37.115077Z digest=sha256:453d824d822f1084f3ce6ef37690bdf7d14cb48d0c63dc65a38345089ec4ea22

Observation eb475e17-bdcf-4852-ba19-519443dc8a1c · outbound

This paper cites StruQ: Defending Against Prompt Injection with Structured Queries.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation StruQ: Defending Against Prompt Injection with Structured Queries

Reference 4

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source=pdf_text observed=2026-08-02T11:28:37.251992Z digest=sha256:8f4571fb4921e9aa91c276bf3fd1033e6766e40f3d96e809b8b6ee947d87efd7

Observation 17fc53ab-c396-4b37-a67a-11cde6e242d2 · outbound

This paper cites SecAlign: Defending Against Prompt Injection with Preference Optimization.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation SecAlign: Defending Against Prompt Injection with Preference Optimization

Reference 5

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source=pdf_text observed=2026-08-02T11:28:37.338330Z digest=sha256:5d26726aac4f64dc0d170fcafb6671c8f9f66c3250fd64b2be2e351093fcda6d

Observation 71aeae09-eccd-468d-a282-1799daf6d922 · outbound

This paper cites Wichmann.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation Wichmann

Reference 6

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source=pdf_text observed=2026-08-02T11:28:37.448789Z digest=sha256:2270aea427a808b015ffc53d1e22653f5c1411fe8d2d24b431c2c2305d766e06

Observation e1c6303e-3ac0-45aa-be29-e04503ebfa47 · outbound

This paper cites AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models

Reference 7

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source=pdf_text observed=2026-08-02T11:28:37.601359Z digest=sha256:5923d7e0c50b5b1996452b9bb9b4bffc2c07e97a1e414cefe45d911e37ee6d69

Observation f8afa414-7894-430c-b7fd-c409f8e55f7a · outbound

This paper cites Isolating LLM Alignment from Regex.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation Isolating LLM Alignment from Regex

Reference 8

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source=pdf_text observed=2026-08-02T11:28:37.759705Z digest=sha256:f1792bbf562172048b8843eca867dbe89a16d8f58e70867fcc3f9210ea2e18f0

Observation 1dbb699b-7043-4d84-af26-8334c7a6fb03 · outbound

This paper cites Which Defense Closes Which Threat? Attributing OWASP-LLM-Top-10 Coverage and Its Brittleness Under Paraphrasing.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation Which Defense Closes Which Threat? Attributing OWASP-LLM-Top-10 Coverage and Its Brittleness Under Paraphrasing

Reference 9

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source=pdf_text observed=2026-08-02T11:28:37.831700Z digest=sha256:b0a519b5e588e1e9839d8286857665a562be716deadc48916f1117c9a5e09351

Observation b0f20582-52d4-4191-bf76-afd450cda756 · outbound

This paper cites The judge who never admits: Hidden shortcuts in LLM-based evaluation, 2026.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation The judge who never admits: Hidden shortcuts in LLM-based evaluation, 2026

Reference 10

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source=pdf_text observed=2026-08-02T11:28:37.902713Z digest=sha256:e694ec8a9023b7bf42077614900e6b6e889ff1efda21fdcb04cec92dbaef8690

Observation ff2ca315-f902-47bd-8028-c1fbcc9bfa06 · outbound

This paper cites HarmBench: A standardized evaluation framework for auto- mated red teaming and robust refusal.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation HarmBench: A standardized evaluation framework for auto- mated red teaming and robust refusal

Reference 11

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source=pdf_text observed=2026-08-02T11:28:38.091357Z digest=sha256:3b37c66d7cbbe2b536d932f5d52a55e68eb9e14bd51f1f479ab0311aae2c0e98

Observation acd086be-61fc-41e9-8e2a-e08730b401fd · outbound

This paper cites Tree of Attacks: Jailbreaking Black-Box LLMs Automatically.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation Tree of Attacks: Jailbreaking Black-Box LLMs Automatically

Reference 12

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source=pdf_text observed=2026-08-02T11:28:38.406253Z digest=sha256:849b2d57ab170299d912af570a7c821732ef02178ff153b61f22cae7a1b3a1ea

Observation 1f742de5-c86e-41e1-b078-a9d2dbdf6862 · outbound

This paper cites The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections

Reference 13

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source=pdf_text observed=2026-08-02T11:28:38.527313Z digest=sha256:149f1c22b6c5c525e4570f1fc2a4e51ada733804bab55d351a5db26e4113d183

Observation 80850596-fa20-46c3-9daa-910babee63b5 · outbound

This paper cites Owasp top 10 for large language model applications, 2025 edition, 2025.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation Owasp top 10 for large language model applications, 2025 edition, 2025

Reference 14

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source=pdf_text observed=2026-08-02T11:28:38.727068Z digest=sha256:7fedbbd583e95effcf86892086e09573782e8b5e5fc0e5f48466d7947179f489

Observation 7ac60f2f-6ab6-4044-a69d-caa59404613b · outbound

This paper cites Ignore previous prompt: Attack techniques for language models.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation Ignore previous prompt: Attack techniques for language models

Reference 15

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source=pdf_text observed=2026-08-02T11:28:38.858688Z digest=sha256:f529ad539f78e21f704401ba8d16401123a9edcc4ea51505fe5053209180ec0d

Observation 6e4cb176-7387-43f9-a93d-bfc4f7ccd239 · outbound

This paper cites Picus security cybersecurity glos- sary, 2025.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation Picus security cybersecurity glos- sary, 2025

Reference 16

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source=pdf_text observed=2026-08-02T11:28:39.007722Z digest=sha256:fdbcdafbbb98ccd8337fa637b0a644c193370ec52d37d5dda0adef7976b8cf92

Observation d6435f18-232e-4e0c-8f3f-7b1c0eefef97 · outbound

This paper cites Safebreach validate — breach and attack simulation, 2025.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation Safebreach validate — breach and attack simulation, 2025

Reference 17

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source=pdf_text observed=2026-08-02T11:28:39.087405Z digest=sha256:49824746ffc5fab5e51fedf34d4aaaa4d551a4421ab569318299dec1aad759c5

Observation 6b17ce4e-7a70-4af2-9e67-1a28d4e12cb9 · outbound

This paper cites A StrongREJECT for Empty Jailbreaks.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation A StrongREJECT for Empty Jailbreaks

Reference 18

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source=pdf_text observed=2026-08-02T11:28:39.178825Z digest=sha256:2329dbe14124eb08b3fa0a9e644474f9f1fd3bcc6c11c7fbc3be1aff6177290a

Observation fdccb6d3-84e5-4221-80f9-79ed6270c21b · outbound

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

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation Jailbroken: How Does LLM Safety Training Fail?

Reference 19

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source=pdf_text observed=2026-08-02T11:28:39.288982Z digest=sha256:bd43961d32a6a936dfee3248d7e11155857e25bcf38ed187494a345b4ca469ad

Observation a818b48f-8fad-4890-8a47-33f7a02d9965 · outbound

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

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 21

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source=pdf_text observed=2026-08-02T11:28:39.513893Z digest=sha256:8cb0d811f43ab4df15d829a64a9502721ad931c56720ec6170c26a39725db908

Observation afc47a2c-9988-4121-81ce-a34f5afdb2fc · outbound

This paper cites an unresolved cited work.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-02T11:28:39.629276Z digest=sha256:90e3eccca389a95b09fcfaee0b12697bc72d830c8e0dcf36f244ccd7e07ef7bc

Observation 65ca08ca-84c1-419e-98d1-fc9645d5d103 · outbound

This paper cites an unresolved cited work.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-02T11:28:39.748091Z digest=sha256:7ccf07013e3a894eee351fd7be6a45609d1f4cb27a8615badf1c930dafda8461

Observation 1d50c474-2f33-4fab-bdaf-37058baca504 · outbound

This paper cites an unresolved cited work.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-02T11:28:39.869969Z digest=sha256:537d8e5d4e374ca0ca700fa54eb192db793bee1377a0bb53f2202df4418fcfde

Observation 621e182b-be23-4a66-b572-34574336db4c · outbound

This paper cites Alignment-isolate probes( N= 13) followed the same process but with an additional criterion: the probe must not useanyencoding, obfuscation, or structural framing technique.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation Alignment-isolate probes( N= 13) followed the same process but with an additional criterion: the probe must not useanyencoding, obfuscation, or structural framing technique

Reference 26

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source=pdf_text observed=2026-08-02T11:28:40.007247Z digest=sha256:179196afe9128021d96b0e19addbafd79253602210aa4a20620b26a8be2f033f

Observation fd88f517-580f-4b17-ac49-975440905bca · outbound

This paper cites an unresolved cited work.

Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversarial Mutation Unresolved cited work

Reference 2024

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source=pdf_text observed=2026-08-02T11:28:38.282303Z digest=sha256:a0841eb36269e6f98904717432fa386f6c8e2a648abc53226751873b28290e70

Pith citing papers

No inbound Pith citation observations are available.