Paper Citation Record · LEDGER

Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.03714.

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

pith.paper-citation-record.v1
2504.03714 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:49:31.053849Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:56:30.031002Z

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 13eb2014-cd60-4b59-91e4-222656889e8e · inbound

R1-RE: Cross-Domain Relation Extraction with RLVR cites this paper.

R1-RE: Cross-Domain Relation Extraction with RLVR Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T19:49:31.053849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdcdd31d-64c2-4f09-9a52-63b8c5b54c8a · inbound

Parallel-R1: Towards Parallel Thinking via Reinforcement Learning cites this paper.

Parallel-R1: Towards Parallel Thinking via Reinforcement Learning Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models

Reference 1989

Resolution: unresolved; no resolver link, observed 2026-08-04T21:28:48.635933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6747d781-40bb-453b-a586-a9ba2a630f5f · inbound

CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models cites this paper.

CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T18:53:02.644861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a64f65e7-a5f8-446b-a8d3-74db5e1312e4 · inbound

Small RL Controller, Large Language Model: RL-Guided Adaptive Sampling for Test-Time Scaling cites this paper.

Small RL Controller, Large Language Model: RL-Guided Adaptive Sampling for Test-Time Scaling Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:56:30.033153Z

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.