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Paper Citation Record · LEDGER

Prompt Stealing Attacks Against Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2402.12959.

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

pith.paper-citation-record.v1
2402.12959 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:57:45.306008Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T21:52:10.229497Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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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 d8b3626f-b44c-4f0d-934b-6b036d6cdb3c · inbound

Has My System Prompt Been Used? Large Language Model Prompt Membership Inference cites this paper.

Has My System Prompt Been Used? Large Language Model Prompt Membership Inference Prompt Stealing Attacks Against Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T19:57:45.306008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:57:45.306008Z digest=sha256:c3ab0e10883790ea1641711fcfdce416c128c101e7f02b37d1bde477117a23d6

Observation b233501f-c078-4c54-b767-79de256cc984 · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges Prompt Stealing Attacks Against Large Language Models

Reference 241

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:52:10.232650Z

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=2026-05-22T21:51:34.309870Z digest=sha256:60223181e2031f9eacb8863ee7ef8106fc588cd21e617872db3e26773dc56efa

Observation e5ae70ec-8c69-4734-8707-9998edb73825 · inbound

System Prompt Extraction Attacks and Defenses in Large Language Models cites this paper.

System Prompt Extraction Attacks and Defenses in Large Language Models Prompt Stealing Attacks Against Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:18.063710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:18.063710Z digest=sha256:1bec5ff3fd50dfc7981066356fa56c5063941775db660345be7b725b9028eab8

Observation 0f32f5e9-9f53-4110-9218-1a606c87f3a8 · inbound

A Survey on Model Extraction Attacks and Defenses for Large Language Models cites this paper.

A Survey on Model Extraction Attacks and Defenses for Large Language Models Prompt Stealing Attacks Against Large Language Models

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T22:23:12.077506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:23:12.077506Z digest=sha256:fef4353067a1b1137859e7702a522b864aa9c1a8efa6020a004810a871950346

Observation b3c26821-6442-4787-915f-0d034081a30c · inbound

Memory Enhanced Fractional-Order Dung Beetle Optimization for Photovoltaic Parameter Identification cites this paper.

Memory Enhanced Fractional-Order Dung Beetle Optimization for Photovoltaic Parameter Identification Prompt Stealing Attacks Against Large Language Models

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-05T22:32:12.249273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:32:12.249273Z digest=sha256:801a9e840cae80e0b9bba9f79d98139fcffdef333d6b3d3adce5aa9fc43561f0

Observation a30618a9-f35f-4de4-9af7-4b287fbb1338 · inbound

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

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Prompt Stealing Attacks Against Large Language Models

Reference 128

Resolution
unresolved
no resolver link, observed 2026-08-05T20:31:44.697770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:31:44.697770Z digest=sha256:7d718cc2a6805a34b05d14a999c5dc6599a2685e956e750ef9e627eec3bd41d7

Observation 5deba4f1-126c-4daf-9c64-fee3ba389c21 · inbound

Invitation Is All You Need! Promptware Attacks Against LLM-Powered Assistants in Production Are Practical and Dangerous cites this paper.

Invitation Is All You Need! Promptware Attacks Against LLM-Powered Assistants in Production Are Practical and Dangerous Prompt Stealing Attacks Against Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T19:39:09.979937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:39:09.979937Z digest=sha256:bd4a0a6c3ea4ee12a5a9840344d7d0695c9c7ed5b1b7061986e96bcd4c523e16

Observation dda3b339-b20a-490a-9d00-1961dee87dcd · inbound

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives cites this paper.

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Prompt Stealing Attacks Against Large Language Models

Reference 181

Resolution
unresolved
no resolver link, observed 2026-08-05T18:12:37.749618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:12:37.749618Z digest=sha256:8ac6c4788023a01c1e78870b97bae294d5aa79163465ce3a858155bcf2e19901

Observation 2b8c397a-73fd-4073-98be-784dff63113b · inbound

A global log for medical AI cites this paper.

A global log for medical AI Prompt Stealing Attacks Against Large Language Models

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-04T11:34:11.128892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:34:11.128892Z digest=sha256:e8ce532d21e18f03014625dff272cb45d9e5b41278adb431ca46740638af7b21

Observation ddbaa2ba-2c43-4e9b-8a12-7b3bec9668fc · inbound

From Rookie to Expert: Manipulating LLMs for Automated Vulnerability Exploitation in Enterprise Software cites this paper.

From Rookie to Expert: Manipulating LLMs for Automated Vulnerability Exploitation in Enterprise Software Prompt Stealing Attacks Against Large Language Models

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:03:22.139695Z

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=2026-05-16T20:02:47.746439Z digest=sha256:47b341a3323badbd1034bf18393f8a269032c19df77919e49ae88b529cb79dc1

Observation f0e42147-e8e6-40b9-9aa0-a9e6d41af481 · inbound

BadSNN: Backdoor Attacks on Spiking Neural Networks via Adversarial Spiking Neuron cites this paper.

BadSNN: Backdoor Attacks on Spiking Neural Networks via Adversarial Spiking Neuron Prompt Stealing Attacks Against Large Language Models

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:32:27.414389Z

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=2026-05-16T06:31:04.036790Z digest=sha256:ea8acfcfe26e7b527570ce908913604c84c34f7f58a1d6119581a2c19ed20593

Observation 0dd8ecb0-749e-4e20-ac76-97ce41570433 · inbound

Automated Framework to Evaluate and Harden LLM System Instructions against Encoding Attacks cites this paper.

Automated Framework to Evaluate and Harden LLM System Instructions against Encoding Attacks Prompt Stealing Attacks Against Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-13T14:38:58.879673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:38:58.879673Z digest=sha256:409f2aeb0e6a515e2bc5772a39b0acd8a1b04d6ee399de6509a0d8c8e844abcb

Observation e4faa7b6-95f0-4681-94b7-4a6f3f582193 · inbound

Federation over Text: Insight Sharing for Multi-Agent Reasoning cites this paper.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Prompt Stealing Attacks Against Large Language Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-07-12T19:16:10.884254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:fc3c24f336ee004770d325862b918c5c0d61bdf156e4d90ac80be2ae2469c1d1

Observation dae04d25-6bb9-4511-8e8c-d8face40f1ad · inbound

Can a Single Message Paralyze the AI Infrastructure? The Rise of AbO-DDoS Attacks through Targeted Mobius Injection cites this paper.

Can a Single Message Paralyze the AI Infrastructure? The Rise of AbO-DDoS Attacks through Targeted Mobius Injection Prompt Stealing Attacks Against Large Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:27:07.114954Z

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=2026-05-13T02:25:35.652808Z digest=sha256:2591295cf6f4f9a7042e3ec3437be5f67a7d7720a8235969a6c538d0fd111b9b