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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-18T06:34:40.430872+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=sha256:885f0cfe11abfdc57f00ec9ebe51a4bf713df2524f86f328f07dc65954a4f9bf

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T21:50:23.682275Z digest=sha256:d1b34dba4c34fe7416e56c3344ec274fdbbabbff2bddb1e1a812a05b36fc3839

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=sha256:63149a8bd83c55bfbe0dcfe3c73c71ed516e88dd791fae68577213723bf6f480

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:c8d3d7e62eed571fd0ff872e350c361608f9aed6fe3451c678ebc135675e4dbf

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:23.931047Z digest=sha256:4b19401947d227a4eb8fa7ea7879863ae7197f8f65792b4afdc3a489276102f9

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:24.041051Z digest=sha256:9c6a83049ed9c9721d8fc26ffadd0cd96199893a86bd4f4634a2819706666845

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:24.108617Z digest=sha256:6de371e32a8270ad10e0141941a2dcc04cd44971eb307d06e2fb17edd7d25f52

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=sha256:92b9b68eb1093ce24e3a1212cdefb3eb1702dae96f5e334e87c6388ac85e31c9

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:ba4a25eea284696f60d9cc0c6adec5e9d2d6e39994d74e242c176de8858e32bc

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=sha256:3d7e466e9fa28684b20a53ae5346e4b1be4506876af74929119d4f6797769df7

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:24.501823Z digest=sha256:96612e8944f0cad462634426f252beed4b0dcc8f49e072931bc31ab9abafdf4e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:24.594454Z digest=sha256:26f03dcb3a184cb262be5e031826c28faae095ff4c01924a49283758b2a0ded3

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=sha256:41e5940ecc95fba4025ae19b344369979742231d87c375bc23ec39236bc0fbe5

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=sha256:49d03753dd94cebf076270ecb05ce9bf52066c9716ef577c59db61ea30561913

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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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=sha256:09cbcfc4cdc09b1c70a8a3354e44ae1e39e5cfdba4690033b6eb1edcec5c681c

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:a43726606512c6dc322cb5e13b123291401f30180d1fe61129ba8da19e486277

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:25.121585Z digest=sha256:daa929e21f67888579b06054c56a3fb493f894c9bb646653c758101f043e48da

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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source=arxiv_source observed=2026-08-06T21:50:25.217506Z digest=sha256:b9e25ad06804501300279a161adc51541f1f39c7db4055b316a2e5c3aef57113

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:25.299707Z digest=sha256:656c997a93b1349958462125f3916f41099a0750a578b07b99e189377f89a8e0

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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no resolver link, observed 2026-08-06T21:50:25.394358Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:25.394358Z digest=sha256:4d26f2d25d5b85c3fb5a90e1227f1b9bea667faea21c6f7285ae35a3df9d173c

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:50:25.505408Z digest=sha256:c6e8702db3c8c0099024c3f608cd89cb6db93b2ae0519df2f2927e754f5708de

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=sha256:6066b6cfe72b5e3f97ce47ad2111a0855b86f6348eccb74914deb3a748e4eb84

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=sha256:43d0f5423b64d1443df78a0cd11db37c7c98ab865d50576bae37dcf8f3130008

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T16:07:31.602378Z digest=sha256:030b56831dc72f3995562a49dad70a52c876638df8f74914b6f3556d28551475

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T00:50:19.648405Z digest=sha256:52136a5c0be2413d51b41765c0739ee7516158ed8504a5645e147ceb23e2b311

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T18:08:24.901025Z digest=sha256:cf6a40cd80ffe2ae6c600acf238a5015dd4a5bfc8a6edd55454e7eb092e5d941

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-29T01:28:07.221590Z digest=sha256:49dee6edb9263cb0b2a5db8310677b0d2cdf3f2735e3a794e13b907804c5b079