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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:ea5c78eccd6e26c47fa77bc9a32d53e4f4be00ed8b533158bd072d2f41fbd4b2

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=sha256:93c390926977fefa60cdd6ea1c7aabcc3212c350d64c181ec798f87c6aa58456

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:ee0b299f3c66baf9a04b28f06ff05cf6609403559d37dc7c5dee7031d79d76a3

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:d01b2b70f22f8c4feb45ced183ddbc07280c21de8780a973500835326f390206

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:d1b453908e3b65c8370f10a5c879eb2cc8eea089041f25076ea0b46f1a053dbe