Paper Citation Record · LEDGER

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems

As of 11 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 2 inbound Pith citation observations for arXiv:2507.15613.

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

pith.paper-citation-record.v1
2507.15613 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:32:53.004983Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T04:56:25.081296Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T04:16:36.058442Z

Reference resolution

48 of 48 outbound references displayed

verified exact5
verified fuzzy23
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b4a63c9f-3b28-4fbe-a134-d2664b113ee1 · outbound

This paper cites Perez and I.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Perez and I

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.442679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b23d4ea1-00cf-4a25-b4da-b18125043c47 · outbound

This paper cites an unresolved cited work.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:32:53.435189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 811f48c9-a734-415a-a3fe-3b0bf032febc · outbound

This paper cites Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:50.781317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e194ef1f-7791-4f8f-9f8c-f855edd836f4 · outbound

This paper cites Owasp top 10 for large language model applications, 2023.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Owasp top 10 for large language model applications, 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.427742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dbad5721-9df4-41d4-a6fb-9bdd0a90bde3 · outbound

This paper cites Carlini et al.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Carlini et al

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.420290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 247faf4b-0d5e-4f19-a57a-c72d9da7e93d · outbound

This paper cites Shokri et al.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Shokri et al

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.411767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 120d88d0-ddce-4ec5-b2de-ec651730f150 · outbound

This paper cites Challenges and Applications of Large Language Models.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Challenges and Applications of Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:51.106135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74d42618-241c-4c08-8723-cc2f70e0d580 · outbound

This paper cites Croisdale.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Croisdale

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.403504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d72a479c-0c56-4d27-92b3-ff94fce15c1c · outbound

This paper cites New Benchmarks for Asian Facial Recognition Tasks: Face Classification with Large Foundation Models.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems New Benchmarks for Asian Facial Recognition Tasks: Face Classification with Large Foundation Models

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:32:53.211767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 24c7cedd-d4cb-4de0-8142-5a71b6cf0666 · outbound

This paper cites Gpt-4 system card, March 2023.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Gpt-4 system card, March 2023

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.395577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 41900801-b519-4580-902e-5c08c52093af · outbound

This paper cites Hung et al.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Hung et al

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.387991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 74e7d46e-981b-4903-b145-70bf4181f9ee · outbound

This paper cites Tram` er et al.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Tram` er et al

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.380497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dd7ae18f-cc42-4291-b7eb-db5681c5951f · outbound

This paper cites Suo et al.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Suo et al

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.373044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bf833539-8aea-4d10-93e6-f3b3f338d8b1 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Constitutional AI: Harmlessness from AI Feedback

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:52.190381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a06151e3-371d-4afb-8723-0a423bd1d525 · outbound

This paper cites Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:52.315635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a262fd2-beb2-408d-a736-ed9f63823481 · outbound

This paper cites an unresolved cited work.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:32:53.365065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f957c792-a18c-485a-860c-8f06ffec6b56 · outbound

This paper cites Automatic and Universal Prompt Injection Attacks against Large Language Models.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Automatic and Universal Prompt Injection Attacks against Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:52.654532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a2a53c4-34a4-4c0b-afac-9bc3a5864b0a · outbound

This paper cites Reynolds-number scaling of wall-pressure--velocity correlations in wall-bounded turbulence.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Reynolds-number scaling of wall-pressure--velocity correlations in wall-bounded turbulence

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:32:53.173272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c8b3ffd9-ab3f-481d-b224-6ef4ed0c9e11 · outbound

This paper cites Hu et al.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Hu et al

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.357656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3812fe2e-eb70-4505-8685-79eebb12c01a · outbound

This paper cites A Watermark for Large Language Models.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems A Watermark for Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:52.913067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b065241-bd2b-4ff9-890b-ca4070de6e85 · outbound

This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:52.916706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d1e9437-1dc1-4d4b-8fbe-b90aeb12b0bd · outbound

This paper cites InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:52.920395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15601a8c-0ac4-4805-8173-6c556c2eb8e2 · outbound

This paper cites Zunger et al.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Zunger et al

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.349752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 62ce073e-110c-453e-8ef4-85b59ab1d0ef · outbound

This paper cites Yi et al.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Yi et al

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.341628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9f8d875c-a7b1-4b4a-becd-d243c4c05c55 · outbound

This paper cites Chen et al.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Chen et al

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.333459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 07cf0b9b-4a72-4b8a-8f8e-677aa2c419cd · outbound

This paper cites TeachCLIP: Multi-Grained Teaching for Efficient Text-to-Video Retrieval.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems TeachCLIP: Multi-Grained Teaching for Efficient Text-to-Video Retrieval

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:52.933233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 208383d3-cf43-4c41-900d-dd0c78314151 · outbound

This paper cites Pasquini et al.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Pasquini et al

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.323886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b181fb95-3c71-4bb5-ba49-d95a4459d76d · outbound

This paper cites Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:52.940158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1a01522-250d-455a-ac06-eeafecb878b6 · outbound

This paper cites High-dimensional Asymptotics of VAEs: Threshold of Posterior Collapse and Dataset-Size Dependence of Rate-Distortion Curve.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems High-dimensional Asymptotics of VAEs: Threshold of Posterior Collapse and Dataset-Size Dependence of Rate-Distortion Curve

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:32:53.121198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f09b2d7a-60fd-474c-b874-db0d6cd17805 · outbound

This paper cites Mei et al.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Mei et al

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.314199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4216d0ed-3974-467d-9cb6-29309360d774 · outbound

This paper cites Li et al.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Li et al

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.304671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 01d350cf-dc1e-450a-bb33-57e14f163577 · outbound

This paper cites Abadi et al.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Abadi et al

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.296677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 02a109db-3aa2-4543-8758-05b0dc2e76db · outbound

This paper cites Fredrikson, S.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Fredrikson, S

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.288620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9b29683d-7c26-4889-9548-c6e9960069ca · outbound

This paper cites Jailbroken: How Does LLM Safety Training Fail?.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Jailbroken: How Does LLM Safety Training Fail?

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:52.959226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4109fe61-1555-4a87-afec-b2619bbd29d4 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:52.962454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcdc4561-48d7-4efa-9d15-3c096663ec9a · outbound

This paper cites Euclidean wormholes in two-dimensional CFTs from quantum chaos and number theory.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Euclidean wormholes in two-dimensional CFTs from quantum chaos and number theory

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:52.966171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13b022e9-03bc-4def-a597-23fa12a6ccb8 · outbound

This paper cites Ouyang et al.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Ouyang et al

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.280818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 07aa1d07-7f0d-4ee7-9c0b-aeaf8b99491b · outbound

This paper cites SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:52.971916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb0c5946-792b-4bbb-9ad1-c6e90b53311b · outbound

This paper cites Sparse Beats Dense: Rethinking Supervision in Radar-Camera Depth Completion.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Sparse Beats Dense: Rethinking Supervision in Radar-Camera Depth Completion

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:32:53.076320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9125885e-8f06-4cef-9e92-4c795ff438e2 · outbound

This paper cites Concrete Problems in AI Safety.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Concrete Problems in AI Safety

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:52.978666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd19912b-cba3-4fbd-bb97-7c2d6ba92b4e · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:52.981843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85a494ae-b898-4bf0-a286-17e7812dea0e · outbound

This paper cites Yu et al.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Yu et al

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.272393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 38a105dc-00a1-46d5-bc57-38d3a8ed63dc · outbound

This paper cites Carlini, C.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Carlini, C

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.264306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2d8c85e9-3451-43b7-940c-7b5e44967d53 · outbound

This paper cites Christ, N.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Christ, N

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.255991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 35ebc8ed-2a4c-47dc-bfe9-186f2b81c14f · outbound

This paper cites Maximally informative feature selection using Information Imbalance: Application to COVID-19 severity prediction.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Maximally informative feature selection using Information Imbalance: Application to COVID-19 severity prediction

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:32:53.045480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 812d94ce-84f2-40c9-b750-bee4fb0d38fb · outbound

This paper cites an unresolved cited work.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:32:53.247491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 009e2619-68a5-4076-b102-3baa4b95fe53 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:53.001587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1c5f3ec-bd9a-4116-813c-e4e5505b98e8 · outbound

This paper cites Li et al.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Li et al

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:53.239583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation 5c84f511-aad6-438f-8964-9d05c9e93977 · inbound

Multimodal Prompt Injection Attacks: Risks and Defenses for Modern LLMs cites this paper.

Multimodal Prompt Injection Attacks: Risks and Defenses for Modern LLMs Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T04:56:25.081296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94eacda7-0fc9-4d24-a743-f5ae4c40f4e2 · inbound

Caught in the Act(ivation): Toward Pre-Output and Multi-Turn Detection of Credential Exfiltration by LLM Agents cites this paper.

Caught in the Act(ivation): Toward Pre-Output and Multi-Turn Detection of Credential Exfiltration by LLM Agents Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-02T04:16:36.059865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.