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Paper Citation Record · LEDGER

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

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T16:20:33.798752Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T19:32:19.405615Z digest=sha256:bc08edb3d52d32099fb34505d770712db0427ded44548577598b19e86d286b3f

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T19:32:19.405615Z digest=sha256:b1f9f5b2c65ef81f22c6c2ec99a9fc90459592aad47dfba779d06f18eca4cfd7

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T09:02:40.294491Z digest=sha256:50ef3ac1229d12e246576a2f3ae6cdcce734d64d3354831c1c72be278792a62c

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T16:20:33.798752Z digest=sha256:0674ab3e2c0cfc6cff839ef008e7c01326f3ca097d48f4374c0333e3f7ad6fa1