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Paper Citation Record · LEDGER

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks

As of 7 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 4 inbound Pith citation observations for arXiv:2507.02956.

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

pith.paper-citation-record.v1
2507.02956 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:50:25.717337Z

measured 27 of 27 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T01:28:07.221590Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T18:55:58.422476Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c3456ac-1348-47f6-a910-eef0958bb212 · outbound

This paper cites write newline.

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks write newline

Reference 1

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no resolver link, observed 2026-08-06T21:50:23.638511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:23.638511Z digest=sha256:5b0135a0804d47650c10272e22a746e0cdbbcf302bdf855d83b96a846708f468

Observation 476c410e-88e4-4910-9937-32e74c627486 · outbound

This paper cites Well, that escalated quickly: The Single-Turn Crescendo Attack (STCA).

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks Well, that escalated quickly: The Single-Turn Crescendo Attack (STCA)

Reference 2

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verified exact
local_arxiv, observed 2026-08-06T21:50:26.290852Z

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=arxiv_source observed=2026-08-06T21:50:23.682275Z digest=sha256:400a5acd319ce9c059ec1fcae9f2f63cb300113b87747d1b8677210ff79413dd

Observation 8d36f44d-8bb5-4879-9bdf-42d0bc633329 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 3

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no resolver link, observed 2026-08-06T21:50:23.718505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:23.718505Z digest=sha256:ad28ddc043040c03dcda3b10795f2843a0cd979e4f22a671ef14333c674e6f7d

Observation 4b4a4ebe-5b5e-4188-87ae-6913e3b6696e · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks Constitutional AI: Harmlessness from AI Feedback

Reference 4

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no resolver link, observed 2026-08-06T21:50:23.813973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:23.813973Z digest=sha256:9c35a0c4d5ea594f057f94de9454b203edc4b2570659bcbfcd7d7ff231953c21

Observation cedc3e42-4251-41be-abd5-a43435295f02 · outbound

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

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks Jailbreaking Black Box Large Language Models in Twenty Queries

Reference 5

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no resolver link, observed 2026-08-06T21:50:23.931047Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:23.931047Z digest=sha256:a1ef98472cffd4c9ec1897b37afbfd1a61b1f8e5d72d96caa9686f8a083d82fb

Observation c45739ee-df9e-4c02-9caf-85f8fda83311 · outbound

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

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

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no resolver link, observed 2026-08-06T21:50:24.041051Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:24.041051Z digest=sha256:c3b87434b25a519929777687a5dd78a64599e01686bf47fdbd08ee045477c63a

Observation d78fe336-7b68-4781-a6de-0a99ff02065d · outbound

This paper cites Deliberative Alignment: Reasoning Enables Safer Language Models.

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks Deliberative Alignment: Reasoning Enables Safer Language Models

Reference 7

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no resolver link, observed 2026-08-06T21:50:24.108617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:24.108617Z digest=sha256:adc237ec8b103ac145c02f47838fd42cc8f61569753c99cc4a679741e4afa1ec

Observation eba21bb8-2c2f-4933-94eb-e0b8a11402c2 · outbound

This paper cites COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability.

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability

Reference 8

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no resolver link, observed 2026-08-06T21:50:24.189376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:24.189376Z digest=sha256:4288b46a49ddd40981c2775e5d28512974434ffb9d41b30184e85a1b6be25a7c

Observation 87a9aac9-c8c8-44dc-a605-a480afb89877 · outbound

This paper cites Steering dialogue dynamics for robustness against multi-turn jailbreaking attacks, 2025.

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks Steering dialogue dynamics for robustness against multi-turn jailbreaking attacks, 2025

Reference 9

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no resolver link, observed 2026-08-06T21:50:24.261948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:24.261948Z digest=sha256:daa5694bb413065b1a29cef06a6a5849fca45210bff26787f985e3eca8ad13ca

Observation c6e2f740-a3b4-4596-b545-b38fd8c10bda · outbound

This paper cites LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet.

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet

Reference 10

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no resolver link, observed 2026-08-06T21:50:24.381051Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:24.381051Z digest=sha256:9790936006d005814c2837786dfb95157209fc21779518b945005677381097b1

Observation 218f2879-44f5-42f8-b73c-0f0c7aae61c5 · outbound

This paper cites X-boundary: Establishing exact safety boundary to shield llms from multi-turn jailbreaks without compromising usability, 2025.

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks X-boundary: Establishing exact safety boundary to shield llms from multi-turn jailbreaks without compromising usability, 2025

Reference 11

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no resolver link, observed 2026-08-06T21:50:24.501823Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:24.501823Z digest=sha256:6b60b10934adeada38b073f928a8074f9ae45d5934d25c4f3f3194351d8da4ae

Observation ca0ad785-49d1-417c-ab53-21df10b7f92d · outbound

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

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks Tree of Attacks: Jailbreaking Black-Box LLMs Automatically

Reference 12

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no resolver link, observed 2026-08-06T21:50:24.594454Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:24.594454Z digest=sha256:f0a702fad19d17400369610d9ef755d5dcf44f7889835f06572a61975c8f0e49

Observation 3a8ce7cb-43d4-49a9-9712-bc9a094941ff · outbound

This paper cites PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI System.

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI System

Reference 13

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no resolver link, observed 2026-08-06T21:50:24.688041Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:24.688041Z digest=sha256:c329f29b05ae2ae517b52c6f9979b6f718ef276149f79247827927309880f296

Observation de570d9d-cb13-4aed-84ad-1348293e97ca · outbound

This paper cites Automated Red Teaming with GOAT: the Generative Offensive Agent Tester.

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks Automated Red Teaming with GOAT: the Generative Offensive Agent Tester

Reference 14

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no resolver link, observed 2026-08-06T21:50:24.807231Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:24.807231Z digest=sha256:59ba0d8cd4e6ea7b735a03a9d3d89226d56eb3a80893ce5098dd3a71cf07cd34

Observation 986520c3-098d-47ef-84fd-10564fb86639 · outbound

This paper cites Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack.

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack

Reference 15

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unresolved
no resolver link, observed 2026-08-06T21:50:24.901579Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:24.901579Z digest=sha256:bdce37b6130febd91552dc9b1cd635224f414695f85d1b7db9f2002395cce8aa

Observation d96455b2-84ed-4436-8021-783c7711c8d1 · outbound

This paper cites Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space.

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space

Reference 16

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no resolver link, observed 2026-08-06T21:50:25.052460Z

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source=arxiv_source observed=2026-08-06T21:50:25.052460Z digest=sha256:842d64c1d7fc00c333e65f8ce24d1ff30c67d957a04ecea2e0b6f5b0eec6f0c2

Observation 3b287634-43b3-4732-a2ec-965d9f8786e2 · outbound

This paper cites Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming.

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming

Reference 17

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no resolver link, observed 2026-08-06T21:50:25.121585Z

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source=arxiv_source observed=2026-08-06T21:50:25.121585Z digest=sha256:7cd1234a25fb47d2681fd9b50e51dd35486ba17c2c7bde283a778ecc7e60a471

Observation 3aed3228-bacd-4e80-817f-1acc3b673ee6 · outbound

This paper cites Taxonomy, opportunities, and challenges of representation engineering for large language models, 2025.

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks Taxonomy, opportunities, and challenges of representation engineering for large language models, 2025

Reference 18

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:25.217506Z digest=sha256:9358c7bd933c997d2d7d4356828f1e7320d9f482790880086166534838e71757

Observation 6a125ad1-e518-4342-b435-8c35075d0f98 · outbound

This paper cites Representation Bending for Large Language Model Safety.

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks Representation Bending for Large Language Model Safety

Reference 19

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no resolver link, observed 2026-08-06T21:50:25.299707Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:25.299707Z digest=sha256:c981b6f4eefb02f92cf855031fc70c38ed31dce8d9ef4147edd47bc47c1c05b5

Observation 1fb5d3d7-f02d-4e4d-bae5-75e22877ec81 · outbound

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

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks Tempest: Autonomous Multi-Turn Jailbreaking of Large Language Models with Tree Search

Reference 20

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:25.394358Z digest=sha256:c4060008b8cf147b45b38a7142a6993fbf9e3d5f55713883e3780a6ecd966f52

Observation 9ec2eda3-b55d-4171-9724-fd207bff6ccd · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks Representation Engineering: A Top-Down Approach to AI Transparency

Reference 21

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no resolver link, observed 2026-08-06T21:50:25.505408Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:25.505408Z digest=sha256:7ecaca45d119e842bd1646cb84a6969071a1041c1a571517b0edf83f304abfdd

Observation cc2a659d-dbc5-46c1-9da7-b01d1cc11c60 · outbound

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

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 22

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no resolver link, observed 2026-08-06T21:50:25.591506Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:25.591506Z digest=sha256:e1519757ac70a25cae07bcd629dfafb24f82de60a29ca786c6c096dfd7b2467c

Observation b01ed218-98a2-470d-8d2b-fde3eb6d002b · outbound

This paper cites Improving Alignment and Robustness with Circuit Breakers.

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks Improving Alignment and Robustness with Circuit Breakers

Reference 23

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no resolver link, observed 2026-08-06T21:50:25.717337Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:25.717337Z digest=sha256:fbfbd413193d8359d370000696170b92afdf33b78a4451f20a349f2183b83152

Pith citing papers

Observation 15d0bef9-8dc8-4ab5-a86e-a1d3216ca85b · inbound

The Salami Slicing Threat: Exploiting Cumulative Risks in LLM Systems cites this paper.

The Salami Slicing Threat: Exploiting Cumulative Risks in LLM Systems A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks

Reference 15

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verified exact
arxiv_id, observed 2026-05-11T09:16:04.380533Z

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=2026-05-10T16:07:31.602378Z digest=sha256:a41fe00690d59f2fd104322c59cd5d64a2e02e7565df8c6908008ec87d39e60c

Observation ad50daed-644a-472a-93fc-0ab8ed1ea288 · inbound

Mitigating Many-shot Jailbreak Attacks with One Single Demonstration cites this paper.

Mitigating Many-shot Jailbreak Attacks with One Single Demonstration A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks

Reference 6

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verified exact
arxiv_id, observed 2026-05-12T00:51:14.989743Z

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=2026-05-12T00:50:19.648405Z digest=sha256:d65ffd788b99aad05dd9f347e20bfa378a7fe0bb42d1ad0c17d331834bf4d99c

Observation bcb86915-e183-4ac1-a23d-d2f1285ca74b · inbound

From AI-Generated Content to Agentic Action: Security and Safety Threats in Generative AI cites this paper.

From AI-Generated Content to Agentic Action: Security and Safety Threats in Generative AI A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks

Reference 17

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arxiv_id, observed 2026-05-20T18:08:50.541169Z

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=2026-05-20T18:08:24.901025Z digest=sha256:1b3aa7a22b35deb6e018538b336e25fe5340ed3e47a6a5a6f83864564494e103

Observation 889f0505-845f-4f7d-b10c-838f7a34905f · inbound

On the Inseparability of Instructions and Data in Shared-Embedding Sequence Models cites this paper.

On the Inseparability of Instructions and Data in Shared-Embedding Sequence Models A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks

Reference 6

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verified exact
arxiv_id, observed 2026-07-01T18:55:58.424358Z

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=arxiv_source observed=2026-06-29T01:28:07.221590Z digest=sha256:8219b26403aaffc318ac930cee4e4ef2c8d1c542bdd90adcaf365c177666778b