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Paper Citation Record · LEDGER

ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.10753.

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

pith.paper-citation-record.v1
2402.10753 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:17:43.467187Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a9370a34-a9a9-40b2-98db-e898b1e69bf9 · inbound

Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems cites this paper.

Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T19:32:19.552364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-15T19:32:19.405615Z digest=sha256:e8d2b5cde7e922b7f66d45b9ebc8961fcd7a08c674589e6140e82def41dbf7ee

Observation 1830dac3-fb12-466b-9f02-e2e46ef46e44 · inbound

Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems cites this paper.

Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:32:19.661130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-15T19:32:19.405615Z digest=sha256:215658e3e5ce46693abea4a80f4bdc5792845edee65465b0dcfbf0688d19e416

Observation 6f96c74a-9cef-4953-9504-08f9c33184e1 · inbound

From Allies to Adversaries: Manipulating LLM Tool-Calling through Adversarial Injection cites this paper.

From Allies to Adversaries: Manipulating LLM Tool-Calling through Adversarial Injection ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T16:17:43.467187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:17:43.467187Z digest=sha256:db5d5e4ccacdfb51db07deab8afd9074106a771d8c04bb9f26dff1d403063c9e

Observation 96907386-5e41-48d1-bba7-1f6966552bb6 · inbound

Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions cites this paper.

Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages

Reference 77

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T09:02:40.359422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T09:02:40.294491Z digest=sha256:956a4fd3f41f43c3514d4684cf87f7fc3e05aba44ac896c862d74a36f3a1430a

Observation 24801c2b-85b4-4807-9e59-e076dfa33945 · inbound

RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents cites this paper.

RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T12:06:27.595232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:06:27.595232Z digest=sha256:88d42843b2f3c17b29873111b569c9bfdba7d8535f6da084d5594560bdccfaca

Observation 685b145e-471b-42ad-8cfa-d2d6695d3892 · inbound

Butterfly Effects in Toolchains: A Comprehensive Analysis of Failed Parameter Filling in LLM Tool-Agent Systems cites this paper.

Butterfly Effects in Toolchains: A Comprehensive Analysis of Failed Parameter Filling in LLM Tool-Agent Systems ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T15:39:59.000880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:39:59.000880Z digest=sha256:cde29abda3c00c3aced36cd2db9a666eff683cbdde0fe74d472796089b4ad06c

Observation 04d8944f-17b8-4a3d-bac3-de77b31e8f75 · inbound

Observability for Delegated Execution in Agentic AI Systems cites this paper.

Observability for Delegated Execution in Agentic AI Systems ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:47:31.265413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-27T16:20:33.798752Z digest=sha256:b5dfedf428bccb529e82703ab6e1e12db1ad612c5ccf706c6f363c22f5336d55