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Paper Citation Record · LEDGER

Black Box Adversarial Prompting for Foundation Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.04237.

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

pith.paper-citation-record.v1
2302.04237 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:02:29.510173Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T07:44:08.533341Z

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 d76ba06f-d1c6-48a0-b92b-75a91a292791 · inbound

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

Universal and Transferable Adversarial Attacks on Aligned Language Models Black Box Adversarial Prompting for Foundation Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-24T07:44:08.537226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T07:42:09.112946Z digest=sha256:43321e61f8417f8c522ed08772664cd01416702316cb01b43e63872a447a361f

Observation 393fa07d-8c22-4d44-befb-5091a899605e · inbound

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

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Black Box Adversarial Prompting for Foundation Models

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T17:11:01.008610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T17:11:00.639293Z digest=sha256:8134dbacfb12b4838a0b53ab33ad7626595d30fa44bdd4af9a07e859ef1b1025

Observation 6efa3274-449a-4025-b20e-ff89ea5efc74 · inbound

InfoFlood: Jailbreaking Large Language Models with Information Overload cites this paper.

InfoFlood: Jailbreaking Large Language Models with Information Overload Black Box Adversarial Prompting for Foundation Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T01:02:29.510173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:29.510173Z digest=sha256:b86f91b8a7fbf448a7a0dfb65132e2ec652f142d98b4e87364542a5e49023ccf

Observation b0d2fc5c-2a27-4274-8959-3bb52b0ccb4e · 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 Black Box Adversarial Prompting for Foundation Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T22:32:12.132433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:32:12.132433Z digest=sha256:c7722a2ccc6b5e8a0c0f17541f4d9aebe7be440a4cd68f4a639b89eb9f0cdc03

Observation 920fb974-f6f7-4760-8b40-0a8b9717d708 · inbound

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs cites this paper.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Black Box Adversarial Prompting for Foundation Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:28.348384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.348384Z digest=sha256:bf3f84a856bb58b2ad518aba717610d0127f5c01901249b86fa85d299e674e53