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Paper Citation Record · LEDGER

Exploring the Potential of Large Language Models for Automation in Technical Customer Service

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.09161.

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

pith.paper-citation-record.v1
2405.09161 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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:35:22.875694Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T13:46:37.032224Z

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 8d70732c-0843-422f-a843-63a22734448b · inbound

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards cites this paper.

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards Exploring the Potential of Large Language Models for Automation in Technical Customer Service

Reference 197

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:46:37.035727Z

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=2026-05-22T13:45:28.789452Z digest=sha256:99fa6dfbf6d2ed1c7fa27f6d316e75c90b57015072be46cf0d2ad36d7a905dd4

Observation 90c728ce-124d-4dc8-b636-8b52bb30d8d1 · inbound

From Unstructured Communication to Intelligent RAG: Multi-Agent Automation for Supply Chain Knowledge Bases cites this paper.

From Unstructured Communication to Intelligent RAG: Multi-Agent Automation for Supply Chain Knowledge Bases Exploring the Potential of Large Language Models for Automation in Technical Customer Service

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:22.875694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:22.875694Z digest=sha256:6b287e5627498f605c752ccc5c8084281d560e3c0150358f4a22f4b5cbb14625

Observation 12e35e5a-a165-4dd0-92c6-b8176ab5c66a · inbound

ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads cites this paper.

ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads Exploring the Potential of Large Language Models for Automation in Technical Customer Service

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:00:48.504139Z

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=2026-05-10T20:21:27.428360Z digest=sha256:e34b65cff621794303db7196608b2b5b18d232cfaa1bf98cf3fd816f132bd993

Observation 22567a11-de7b-4855-8d29-771bec8f2d32 · inbound

SoK: Robustness in Large Language Models against Jailbreak Attacks cites this paper.

SoK: Robustness in Large Language Models against Jailbreak Attacks Exploring the Potential of Large Language Models for Automation in Technical Customer Service

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:01:08.919134Z

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=2026-05-08T16:42:41.137808Z digest=sha256:5b4253b40da8c7861d835b758aa19ec43997945108a4a546a4d2e5cb14e87a7f