Paper Citation Record · LEDGER

Make Them Spill the Beans! Coercive Knowledge Extraction from (Production) LLMs

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2312.04782.

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

pith.paper-citation-record.v1
2312.04782 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:33:11.877687Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:26:59.302870Z

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 5cf2fdbe-bc9e-4a2d-bbff-dc6e47f05868 · inbound

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

Jailbreak Attacks and Defenses Against Large Language Models: A Survey Make Them Spill the Beans! Coercive Knowledge Extraction from (Production) LLMs

Reference 116

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:20:44.498199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9ace8bd1-6ad4-4c42-89aa-d556e2686950 · inbound

The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense cites this paper.

The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense Make Them Spill the Beans! Coercive Knowledge Extraction from (Production) LLMs

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-12T21:45:34.911487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f1d2552-1d04-4c37-a95a-15d14ab3f351 · inbound

Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment cites this paper.

Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment Make Them Spill the Beans! Coercive Knowledge Extraction from (Production) LLMs

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-12T11:03:01.292408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8700974-9c50-41f0-9649-cc011c37cfaf · inbound

LIAR: Leveraging Inference Time Alignment (Best-of-N) to Jailbreak LLMs in Seconds cites this paper.

LIAR: Leveraging Inference Time Alignment (Best-of-N) to Jailbreak LLMs in Seconds Make Them Spill the Beans! Coercive Knowledge Extraction from (Production) LLMs

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T20:53:38.155653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1be42727-07c2-4019-9386-f7c37528ff82 · inbound

NeuRel-Attack: Neuron Relearning for Safety Disalignment in Large Language Models cites this paper.

NeuRel-Attack: Neuron Relearning for Safety Disalignment in Large Language Models Make Them Spill the Beans! Coercive Knowledge Extraction from (Production) LLMs

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T05:33:11.877687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbf5d646-15db-44cb-995c-4f51ac048dd8 · inbound

SoK: A Comprehensive Security Analysis of Jailbreak Resilience in GPT and DeepSeek Models cites this paper.

SoK: A Comprehensive Security Analysis of Jailbreak Resilience in GPT and DeepSeek Models Make Them Spill the Beans! Coercive Knowledge Extraction from (Production) LLMs

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:57.420571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42587ae5-54d0-43ec-827f-d5f42df8fa1d · inbound

Innocence in the Crossfire: Roles of Skip Connections in Jailbreaking Visual Language Models cites this paper.

Innocence in the Crossfire: Roles of Skip Connections in Jailbreaking Visual Language Models Make Them Spill the Beans! Coercive Knowledge Extraction from (Production) LLMs

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T16:25:55.059952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef5ee78b-61de-4b96-9335-8cca6bd52b95 · 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 Make Them Spill the Beans! Coercive Knowledge Extraction from (Production) LLMs

Reference 163

Resolution: unresolved; no resolver link, observed 2026-08-05T23:13:05.010282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7a5a669-88f3-429a-8668-8c7d187bf6ea · inbound

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Make Them Spill the Beans! Coercive Knowledge Extraction from (Production) LLMs

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:33.859800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25028c51-82b1-4d53-b85c-876045172e81 · inbound

NeuroBreak: Unveil Internal Jailbreak Mechanisms in Large Language Models cites this paper.

NeuroBreak: Unveil Internal Jailbreak Mechanisms in Large Language Models Make Them Spill the Beans! Coercive Knowledge Extraction from (Production) LLMs

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-05T10:32:27.904276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e16a51c4-84b2-41c6-90ef-3aa117d0678d · inbound

SlotGCG: Exploiting the Positional Vulnerability in LLMs for Jailbreak Attacks cites this paper.

SlotGCG: Exploiting the Positional Vulnerability in LLMs for Jailbreak Attacks Make Them Spill the Beans! Coercive Knowledge Extraction from (Production) LLMs

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:26:59.304215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.