Paper Citation Record · LEDGER

Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 39 inbound Pith citation observations for arXiv:2308.13387.

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

pith.paper-citation-record.v1
2308.13387 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 39 of 39 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:14:34.116590Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 49da06db-1474-4a09-96ad-1dec12bda0b5 · inbound

Low-Resource Languages Jailbreak GPT-4 cites this paper.

Low-Resource Languages Jailbreak GPT-4 Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T09:24:14.124720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d214990f-e87f-4a7c-bd7c-551b0ac587d2 · inbound

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism cites this paper.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 151

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:08:05.807659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f80178cc-aec5-402b-b6c5-a92bbc41ba05 · inbound

TrustLLM: Trustworthiness in Large Language Models cites this paper.

TrustLLM: Trustworthiness in Large Language Models Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 73

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T11:17:08.446480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dbae861b-3cd9-4b8d-ad84-67e64f05caba · inbound

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model cites this paper.

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 149

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:36:26.527158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4b290f1a-438c-44dc-a7ec-95464f90b851 · inbound

Jailbreak Attacks and Defenses Against Large Language Models: A Survey cites this paper.

Jailbreak Attacks and Defenses Against Large Language Models: A Survey Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 96

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:20:44.861198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aebf8f1a-3c1c-4fe8-a5c7-c90c725ec6d2 · inbound

Vulnerability Mitigation for Safety-Aligned Language Models via Debiasing cites this paper.

Vulnerability Mitigation for Safety-Aligned Language Models via Debiasing Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T13:14:34.116590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 025fa25f-3b8a-4744-8796-914ab383d9b6 · inbound

Safety Reasoning with Guidelines cites this paper.

Safety Reasoning with Guidelines Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-08T23:50:36.181837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dea832e-a657-4a75-9287-1323bcb16dd5 · inbound

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use cites this paper.

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:30.727155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4e6b0ea-e62c-4c59-a12d-910c41a6b0cb · inbound

Xinyu AI Search: Enhanced Relevance and Comprehensive Results with Rich Answer Presentations cites this paper.

Xinyu AI Search: Enhanced Relevance and Comprehensive Results with Rich Answer Presentations Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:10.644766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d3a899b-48da-4516-b36b-31962dfbab41 · inbound

Beyond the Surface: Measuring Self-Preference in LLM Judgments cites this paper.

Beyond the Surface: Measuring Self-Preference in LLM Judgments Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:06.467953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a77cdee8-0522-41fa-84d8-875e81486a24 · inbound

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning cites this paper.

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 234

Resolution: verified exact; arxiv_id, observed 2026-05-19T01:01:09.979243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0c3a4973-30b9-47b5-9a48-97af1325e9d3 · inbound

SEALGuard: Safeguarding the Multilingual Conversations in Southeast Asian Languages for LLM Software Systems cites this paper.

SEALGuard: Safeguarding the Multilingual Conversations in Southeast Asian Languages for LLM Software Systems Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:45.637554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e3d5fd9-d925-426f-aeed-56809efd5295 · inbound

Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM cites this paper.

Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 124

Resolution: unresolved; no resolver link, observed 2026-08-05T23:13:04.544081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dde2c32f-5be4-4115-a64b-ff810cd02d84 · inbound

Revisiting Robustness for LLM Safety Alignment via Selective Geometry Control cites this paper.

Revisiting Robustness for LLM Safety Alignment via Selective Geometry Control Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:21:28.969308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aff94550-37b0-4bdf-8fcb-7c74bfd3e047 · inbound

Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models cites this paper.

Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T22:03:20.386027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c4abdfe4-cb30-48df-a7cd-305efd06f8d7 · inbound

Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs cites this paper.

Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 80

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:46:36.406518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 931bb8ab-2a49-4933-bdbc-cea2a466d8e6 · inbound

The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training cites this paper.

The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:45:50.631891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 329b1e73-7a7a-4401-ac4b-213d93b31f5d · inbound

Dialect vs Demographics: Quantifying LLM Bias from Implicit Linguistic Signals vs. Explicit User Profiles cites this paper.

Dialect vs Demographics: Quantifying LLM Bias from Implicit Linguistic Signals vs. Explicit User Profiles Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:39:14.506405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 67893cbf-c80c-41c7-b2d2-f3776cc73794 · inbound

MultiBreak: A Scalable and Diverse Multi-turn Jailbreak Benchmark for Evaluating LLM Safety cites this paper.

MultiBreak: A Scalable and Diverse Multi-turn Jailbreak Benchmark for Evaluating LLM Safety Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:31:01.138639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6bacf8e7-54c3-4907-94b3-e089133574ce · inbound

A Validated Prompt Bank for Malicious Code Generation: Separating Executable Weapons from Security Knowledge in 1,554 Consensus-Labeled Prompts cites this paper.

A Validated Prompt Bank for Malicious Code Generation: Separating Executable Weapons from Security Knowledge in 1,554 Consensus-Labeled Prompts Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:40:43.791322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b4835099-28c6-415c-8219-aaf1e81b83c2 · inbound

Beyond Fixed Benchmarks and Worst-Case Attacks: Dynamic Boundary Evaluation for Language Models cites this paper.

Beyond Fixed Benchmarks and Worst-Case Attacks: Dynamic Boundary Evaluation for Language Models Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:06:13.694609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8189446b-33c3-4263-aab8-515445b7585c · inbound

Navigating the Sea of LLM Evaluation: Investigating Bias in Toxicity Benchmarks cites this paper.

Navigating the Sea of LLM Evaluation: Investigating Bias in Toxicity Benchmarks Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:31:23.900065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1123835b-527d-428a-a568-12d987057cf5 · inbound

REFLECTOR: Internalizing Step-wise Reflection against Indirect Jailbreak cites this paper.

REFLECTOR: Internalizing Step-wise Reflection against Indirect Jailbreak Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T06:19:42.002339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 41351988-a409-43be-b92d-e6ba900d5688 · inbound

JT-SAFE-V2: Safety-by-Design Foundation Model with World-Context Data cites this paper.

JT-SAFE-V2: Safety-by-Design Foundation Model with World-Context Data Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T13:54:44.172152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation db495455-5492-4c3a-8908-647e36b023b8 · inbound

RouteScan: A Non-Intrusive Approach to Auditing MoE LLMs Safety via Expert Routing Telemetry cites this paper.

RouteScan: A Non-Intrusive Approach to Auditing MoE LLMs Safety via Expert Routing Telemetry Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-06-30T00:34:05.321167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7bafba10-78c1-43df-945c-79fc7fd30192 · inbound

IDEAFix: Evaluation Framework for Creative Defixation Prompting in LLMs cites this paper.

IDEAFix: Evaluation Framework for Creative Defixation Prompting in LLMs Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T18:42:28.917805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8a5fb43b-54f1-4e5c-a1d3-f03a2f75e43e · inbound

When Behavioral Safety Evaluation Fails: A Representation-Level Perspective cites this paper.

When Behavioral Safety Evaluation Fails: A Representation-Level Perspective Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T20:57:23.020717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d8086c03-e6eb-4e6f-8c34-302b925b7b0b · inbound

Unsupervised Causal Abstractions Discovery cites this paper.

Unsupervised Causal Abstractions Discovery Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 84

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:59:21.203220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 96db16a7-6e3b-479b-81d1-551b69abd473 · inbound

FinRED: An Expert-Guided Benchmark Generation and Evaluation Framework for Financial LLM Red-Teaming cites this paper.

FinRED: An Expert-Guided Benchmark Generation and Evaluation Framework for Financial LLM Red-Teaming Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T04:09:34.773753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aaa08779-a722-40ec-ae7e-ba503da2235b · inbound

Efficient Safety Benchmarking via Item Response Theory cites this paper.

Efficient Safety Benchmarking via Item Response Theory Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T15:55:48.971641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e7a258d6-01cd-4f4c-b84e-22a31e3655f6 · inbound

Discriminatory Compliance: How LLMs Answer Queries from Protected Groups cites this paper.

Discriminatory Compliance: How LLMs Answer Queries from Protected Groups Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-06-26T12:59:29.165546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ea5bf22f-5b06-4ed8-9db0-30d635e15b83 · inbound

Do Encoders Suffice? A Systematic Comparison of Encoder and Decoder Safety Judges for LLM Adversarial Evaluation cites this paper.

Do Encoders Suffice? A Systematic Comparison of Encoder and Decoder Safety Judges for LLM Adversarial Evaluation Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T20:00:07.965831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6f8ddaa2-f460-4ba9-9473-dbf00df5c8e5 · inbound

Symbolic Mechanistic Data Attribution: Tracing Training Influence to Learned Behavioral Policies cites this paper.

Symbolic Mechanistic Data Attribution: Tracing Training Influence to Learned Behavioral Policies Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:04:27.971832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 166868af-f1aa-4a2d-bc06-e82283a56383 · inbound

BioTIER: A Refusal Benchmark for Targeted Biological Risk Mitigation cites this paper.

BioTIER: A Refusal Benchmark for Targeted Biological Risk Mitigation Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T02:00:44.726066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc180841-96ec-4227-8e0e-e3a769d177a1 · inbound

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG cites this paper.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-02T10:20:56.053655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f60688c9-3ec5-4555-84be-6cf231031183 · inbound

The Mirage of LLM Guardrails: A Case Study in AI-Assisted Medical Note Manipulation cites this paper.

The Mirage of LLM Guardrails: A Case Study in AI-Assisted Medical Note Manipulation Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-30T20:22:15.974831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebea8a40-8b99-4396-8cd8-b56c0929cae9 · inbound

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions cites this paper.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 99

Resolution: unresolved; no resolver link, observed 2026-07-30T20:11:00.919374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67e98565-810a-4f74-8e17-bd34845b0412 · inbound

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges cites this paper.

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T00:55:21.768924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52acaad3-523c-437f-b54c-ec44f120bc2a · inbound

Item Response Theory for AI Safety cites this paper.

Item Response Theory for AI Safety Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T05:39:49.518229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.