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Paper Citation Record · LEDGER

Large Language Model Safety: A Holistic Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 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 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:18:09.285609Z

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

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  • verified fuzzy0
  • unresolved0
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  • 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 10d81394-2974-49c1-8cab-1096d62293f9 · inbound

CollabLLM: From Passive Responders to Active Collaborators cites this paper.

CollabLLM: From Passive Responders to Active Collaborators Large Language Model Safety: A Holistic Survey

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-09T18:18:09.285609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:18:09.285609Z digest=sha256:ddc0de29d00d74e06633a88b23df5f004286ba69cee0bf54c50587447a12aa82

Observation 7ec5aa9c-c282-4d3b-9d6f-0f1509d3a95a · inbound

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM cites this paper.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Large Language Model Safety: A Holistic Survey

Reference 197

Resolution
unresolved
no resolver link, observed 2026-08-08T21:12:23.263276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:12:23.263276Z digest=sha256:32c590d40c454a1cc6b815f1365b51a50151e966d3c4ea3149d3120847ff9ef4

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.

source=arxiv_source observed=2026-08-07T12:40:25.997877Z digest=sha256:fa93687c5bd1c9c27e9db2f06ae904281fb2a89ecfb5c4f7f4a25fa063ccfa09

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.

source=pdf_text observed=2026-08-07T00:32:36.657747Z digest=sha256:ce071b2ccf62f0f80527ebc68226a1f91e1397aa430498d6e088af34d4102ee6

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.

source=arxiv_source observed=2026-08-05T16:00:48.934558Z digest=sha256:c8432abe448b1585965e5b48b04bc3c84fb302240f2a30a45455856252ec6b01

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.

source=pdf_text observed=2026-08-05T10:38:58.561446Z digest=sha256:b0ace191796eda61027c696219042d7f5d059f84aeb05ec9b5323f9de57ead97

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.

source=arxiv_source observed=2026-08-04T12:27:28.715861Z digest=sha256:763a65036f5b4b7b314d3da6a3439a3ef2fbca1766361736cf5986223cef617f

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.

source=pdf_text observed=2026-08-03T05:45:43.008497Z digest=sha256:e76dcec08c9667f0e5fad156c2b7916bec3d9d99212d339a7262f3269b35a128

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:31:13.545599Z digest=sha256:78f41fe204d46ab45f99f327897ac219f9463ba57e1dafcf113a1844cdb89bb1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:50:46.308625Z digest=sha256:53d4503c5b189abda301cd12d9ef7db0067ddb1b13124c31a9e04a20a8155f7f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T04:44:18.853951Z digest=sha256:bbfbece36955cc6cf9adfa202263ae0bb9f8acf534167e0434b92eb35ea0e475

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T08:30:14.156832Z digest=sha256:6917e28a02d31db29c481e2d4ddcbce808707e86320b1cbd4a09a6b56fb11db1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:d31ea45f1bcd99102ab9e5b29c149334aebc3dabde5a0fcd37e0032d03ad6f00

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-19T21:49:07.440832Z digest=sha256:30079ba409567c4db117813a14b47943c4637a4d98aea27cd4b8ad569f907074

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T10:51:19.555985Z digest=sha256:2a0fbc2bf8b0fd2ee631818445c6a58a1d37f7d39553987d40b87332b8a49572

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T07:38:23.099479Z digest=sha256:ef9ae28a7d946e70b41353703719265e6c6282435a6f3bf41491e86702edbb8d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T04:33:04.629491Z digest=sha256:8672992f76fdabda192d7accef1b0a80e3aefa9de13785944546ad2ff09144e3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T16:49:14.243931Z digest=sha256:b276c413921c773ef78c60145731da122760c3f511e850416901cb8addf6c961