Paper Citation Record · LEDGER

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset

As of 14 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2411.08243.

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

pith.paper-citation-record.v1
2411.08243 v3

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:52:34.686086Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T12:58:09.227648Z

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

13 of 13 outbound references displayed

verified exact0
verified fuzzy1
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 478f6d08-7e46-4bfa-a518-916494590a2e · outbound

This paper cites Leveraging Large Language Models in Conversational Recommender Systems.

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset Leveraging Large Language Models in Conversational Recommender Systems

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T21:52:34.637138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f6dae83-1fd2-49f2-ad7d-acbcc3d9751f · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T21:52:34.646442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b0fee32-03aa-4a0f-9155-e1961ec42e11 · outbound

This paper cites The Curious Case of Neural Text Degeneration.

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset The Curious Case of Neural Text Degeneration

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T21:52:34.651073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d055cf9-5346-4e77-be64-37b7d71acfff · outbound

This paper cites The Alignment Problem from a Deep Learning Perspective.

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset The Alignment Problem from a Deep Learning Perspective

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T21:52:34.659958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 841dca4e-2f1c-47a2-a249-54ac9aa5b15e · outbound

This paper cites GPT-4 Technical Report.

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset GPT-4 Technical Report

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T21:52:34.664347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f01ec54-941c-4e56-bd85-34519288d3cb · outbound

This paper cites Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback.

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T21:52:34.668288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08d542fd-f972-452b-b354-6fab2bc2b4d1 · outbound

This paper cites Character-LLM: A Trainable Agent for Role-Playing.

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset Character-LLM: A Trainable Agent for Role-Playing

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T21:52:34.672381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67b01a54-9a65-4e89-bea7-243e979e3c72 · outbound

This paper cites Fundamental Limitations of Alignment in Large Language Models.

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset Fundamental Limitations of Alignment in Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T21:52:34.676905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d3b536a-e6c6-4b8f-a88e-f2be84c5ca21 · outbound

This paper cites GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts.

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T21:52:34.681096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7deb38d-0573-4119-9cc1-16579962f757 · outbound

This paper cites In total, the dataset contains 22K toxic prompts.

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset In total, the dataset contains 22K toxic prompts

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:52:34.850548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 02e1a373-9aea-4624-abf1-a42063183e9d · outbound

This paper cites Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation.

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-12T21:52:34.655368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de241576-573b-43f5-962c-f0f635f22ce7 · outbound

This paper cites Safe RLHF: Safe Reinforcement Learning from Human Feedback.

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset Safe RLHF: Safe Reinforcement Learning from Human Feedback

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T21:52:34.632566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 801ac7b6-4366-48b5-88ff-447686eae7da · outbound

This paper cites CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing.

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T21:52:34.642407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c26fdc0a-8967-4c72-9735-541cb32951c2 · inbound

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

Discriminatory Compliance: How LLMs Answer Queries from Protected Groups Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-06-26T12:59:29.240410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.