Pith. sign in

Paper Citation Record · LEDGER

Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2405.14189.

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

pith.paper-citation-record.v1
2405.14189 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:36:01.800838Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T19:11:58.046229Z

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 cf1807b8-0a8d-4363-8f4d-e13543d637a7 · inbound

Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents cites this paper.

Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization

Reference 109

Resolution
unresolved
no resolver link, observed 2026-08-12T20:36:01.800838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:36:01.800838Z digest=sha256:e64e3b2e23bcf573de53c0597043edaae48dba08407a9b2e4bae1e6d90ea3677

Observation 380d4e74-030b-4124-9ce5-5b6741b2452b · inbound

Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications cites this paper.

Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-12T15:34:26.019681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:34:26.019681Z digest=sha256:69bcf8e1247b1ae4cea682a309f27925358fd66600c8ec5fc9471163aa0d4d10

Observation 09ef2a32-5eb7-449c-a2be-92f30788c61d · inbound

Heuristic-Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models cites this paper.

Heuristic-Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T20:17:02.644238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:17:02.644238Z digest=sha256:d371e85bfc7f183847126ae8f7fa1579023cf5be4352f0f08cb748ba6b35eb2a

Observation 12c96737-0907-41b2-a2ec-797cd1ce0041 · inbound

Towards Action Hijacking of Large Language Model-based Agent cites this paper.

Towards Action Hijacking of Large Language Model-based Agent Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-11T15:41:57.435698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:41:57.435698Z digest=sha256:c120bd52f62674574a7bed4271e9b2a873be8b7341e2f4f6e8eee94f4face19c

Observation 73260aba-053f-4649-a6d3-c9e79acf1d35 · inbound

Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction cites this paper.

Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-22T19:11:58.047819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T19:10:55.009810Z digest=sha256:e339cb73086645c98d21c32bbd9b04f249af7396b1e8be7a6185333ce1f68947

Observation 51fc5fdb-b481-4602-85ef-d9687a80ef8b · inbound

JavelinGuard: Low-Cost Transformer Architectures for LLM Security cites this paper.

JavelinGuard: Low-Cost Transformer Architectures for LLM Security Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:25.404633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:25.404633Z digest=sha256:d8ffc85b45d649dbfac4367e04c29c35bc36d0b1b6ec08596a2626aaf20914da

Observation ffe4d690-6994-4905-a566-1b44143b2441 · inbound

ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts cites this paper.

ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:52.581943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:46:52.581943Z digest=sha256:8f14d694b5fdefc36589ec682d6966cd9cf04996be59d4649773fd45dc2703fd

Observation e0d211bc-5a44-409e-8510-780890837537 · 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? Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T16:00:48.538382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:00:48.538382Z digest=sha256:276ab5562cdaac90a8189533ca3de15acfdecde86d354bd0399f7695aee7d913

Observation 8154e929-62f4-4d3b-bcc0-c45369208dec · inbound

ImportSnare: Directed "Code Manual" Hijacking in Retrieval-Augmented Code Generation cites this paper.

ImportSnare: Directed "Code Manual" Hijacking in Retrieval-Augmented Code Generation Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T21:33:57.696954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:33:57.696954Z digest=sha256:5156c4cd166c03e350d12301651660cba0ff09ebef3e8158f055c6c2374c7088