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Paper Citation Record · LEDGER

Prompt, Divide, and Conquer: Bypassing Large Language Model Safety Filters via Segmented and Distributed Prompt Processing

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.21598.

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

pith.paper-citation-record.v1
2503.21598 v1

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 2026-08-06T00:32:02.155613Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T20:11:13.549640Z

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 0bcdb914-e23a-4d8a-80d3-89532158e6de · inbound

Beyond Context: Large Language Models' Failure to Grasp Users' Intent cites this paper.

Beyond Context: Large Language Models' Failure to Grasp Users' Intent Prompt, Divide, and Conquer: Bypassing Large Language Model Safety Filters via Segmented and Distributed Prompt Processing

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:11:13.552223Z

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=2026-05-16T20:09:25.827452Z digest=sha256:2e68940e2888970493b6045dfc63473afb7def13529c38d669e1de6f2cb31735

Observation 70398ae0-e967-431f-af5c-9031783d90c8 · inbound

To Lie or Not to Lie? Investigating The Biased Spread of Global Lies by LLMs cites this paper.

To Lie or Not to Lie? Investigating The Biased Spread of Global Lies by LLMs Prompt, Divide, and Conquer: Bypassing Large Language Model Safety Filters via Segmented and Distributed Prompt Processing

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:05:50.793089Z

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=arxiv_source observed=2026-05-10T18:41:54.081628Z digest=sha256:6e88d93f38871ef85788f50647d95969a315884e9dfafce39f01d000e4aaa850

Observation 43c501c6-77d5-4063-8cb4-6044b5f511d6 · inbound

One Turn Too Late: Response-Aware Defense Against Hidden Malicious Intent in Multi-Turn Dialogue cites this paper.

One Turn Too Late: Response-Aware Defense Against Hidden Malicious Intent in Multi-Turn Dialogue Prompt, Divide, and Conquer: Bypassing Large Language Model Safety Filters via Segmented and Distributed Prompt Processing

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:41:09.021631Z

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=2026-05-08T11:17:19.079380Z digest=sha256:174a132019669b13ad0913f6dd321cbb0c19b448ae3cc3ad397f06cec0e7c024

Observation 75345be8-5153-4eac-b542-c5cd256fb9b1 · inbound

One Turn Too Late: Response-Aware Defense Against Hidden Malicious Intent in Multi-Turn Dialogue cites this paper.

One Turn Too Late: Response-Aware Defense Against Hidden Malicious Intent in Multi-Turn Dialogue Prompt, Divide, and Conquer: Bypassing Large Language Model Safety Filters via Segmented and Distributed Prompt Processing

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:57:31.638947Z

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=2026-05-13T07:53:06.928500Z digest=sha256:97875c2b1c393b7ce980dd39f14188cff1a140c113563ad8484f15a05b062cfa

Observation 5c6a294a-45b9-4ab2-9cb9-9e6a3bdf7d9d · inbound

SoK: Intent-Oriented Systematization of Multi-Turn LLM Jailbreaks cites this paper.

SoK: Intent-Oriented Systematization of Multi-Turn LLM Jailbreaks Prompt, Divide, and Conquer: Bypassing Large Language Model Safety Filters via Segmented and Distributed Prompt Processing

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T00:32:02.155613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:32:02.155613Z digest=sha256:5c2ce85f5577805c1e6c2d76199e2d62dac44b7325546d896d8f6889d60cef89