Paper Citation Record · LEDGER

Large Language Model Safety: A Holistic Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2412.17686.

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

pith.paper-citation-record.v1
2412.17686 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:40:25.997877Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:07:30.299088Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6287699f-7347-4dc8-8ec7-f1bf69e9f53f · inbound

The State of Multilingual LLM Safety Research: From Measuring the Language Gap to Mitigating It cites this paper.

The State of Multilingual LLM Safety Research: From Measuring the Language Gap to Mitigating It Large Language Model Safety: A Holistic Survey

Reference 112

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:25.997877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95941cb5-c39b-4245-9ab4-f38416c441f1 · inbound

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems cites this paper.

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems Large Language Model Safety: A Holistic Survey

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T00:32:36.657747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46007b15-47d4-4582-8aa3-a3233bfeb64c · inbound

On Surjectivity of Neural Networks: Can you elicit any behavior from your model? cites this paper.

On Surjectivity of Neural Networks: Can you elicit any behavior from your model? Large Language Model Safety: A Holistic Survey

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-05T16:00:48.934558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c254488c-c2f7-46ee-beaf-88b8bd574a9e · inbound

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models cites this paper.

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models Large Language Model Safety: A Holistic Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T10:38:58.561446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 421270ee-741e-463b-96ee-95803f467756 · inbound

Certifiable Safe RLHF: Semantic Grounding and Fixed Penalty Constraint Optimization for Safer LLM Alignment cites this paper.

Certifiable Safe RLHF: Semantic Grounding and Fixed Penalty Constraint Optimization for Safer LLM Alignment Large Language Model Safety: A Holistic Survey

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T12:27:28.715861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5353b55-d912-427a-a9e8-f0f2abcc47dd · inbound

Step-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models cites this paper.

Step-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models Large Language Model Safety: A Holistic Survey

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T05:45:43.008497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7a293b6-902b-44ec-956a-fb7f41920fac · inbound

Why Do Large Language Models Generate Harmful Content? cites this paper.

Why Do Large Language Models Generate Harmful Content? Large Language Model Safety: A Holistic Survey

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:21:04.850588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3e240399-7384-454d-9ea9-849fa2b50e1d · inbound

LLM-Guided Prompt Evolution for Password Guessing cites this paper.

LLM-Guided Prompt Evolution for Password Guessing Large Language Model Safety: A Holistic Survey

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:31:01.201884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 132d1fee-2712-43b9-9775-ba87bf0180d4 · inbound

An Empirical Study of Multi-Generation Sampling for Jailbreak Detection in Large Language Models cites this paper.

An Empirical Study of Multi-Generation Sampling for Jailbreak Detection in Large Language Models Large Language Model Safety: A Holistic Survey

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:50:21.304779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5f8c695f-76fb-43be-a804-f7899fa556bc · inbound

APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation cites this paper.

APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation Large Language Model Safety: A Holistic Survey

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:01:27.853388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 937bc69e-0786-43aa-ab89-1e9ac01a559b · inbound

State Contamination in Memory-Augmented LLM Agents cites this paper.

State Contamination in Memory-Augmented LLM Agents Large Language Model Safety: A Holistic Survey

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:32:48.025140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e5895c54-7f6f-48a9-ab41-4e5594ad8b86 · inbound

Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning cites this paper.

Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning Large Language Model Safety: A Holistic Survey

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T21:52:48.241966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dad512d6-2b00-49ee-8fd5-4afc814beea3 · inbound

Remembering More, Risking More: Longitudinal Safety Risks in Memory-Equipped LLM Agents cites this paper.

Remembering More, Risking More: Longitudinal Safety Risks in Memory-Equipped LLM Agents Large Language Model Safety: A Holistic Survey

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T10:53:13.391805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a6c798d3-1c16-4c0b-bb8a-df65629c8dfa · inbound

A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook cites this paper.

A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook Large Language Model Safety: A Holistic Survey

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:39:49.118397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f8806542-5da1-4641-a848-2517a42c04e0 · inbound

Rethinking Fraud Safety Evaluation: Multi-Round Attacks Reveal Safety-Utility Tradeoffs in Graph-Context LLM Defenders cites this paper.

Rethinking Fraud Safety Evaluation: Multi-Round Attacks Reveal Safety-Utility Tradeoffs in Graph-Context LLM Defenders Large Language Model Safety: A Holistic Survey

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:33:57.782996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c9dcb1f4-b067-495c-ae37-eb853e634b78 · inbound

Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs cites this paper.

Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs Large Language Model Safety: A Holistic Survey

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:07:30.300739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.