Paper Citation Record · LEDGER

A Scalable and High Availability Solution for Recommending Resolutions to Problem Tickets

As of 15 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2507.19846.

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

pith.paper-citation-record.v1
2507.19846 v2

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:02:04.190400Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

6 of 6 outbound references displayed

verified exact1
verified fuzzy5
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6c539518-71e7-4f03-8f7b-007da3f11893 · outbound

This paper cites Automatically resolve trouble tickets with hybrid NLP.

A Scalable and High Availability Solution for Recommending Resolutions to Problem Tickets Automatically resolve trouble tickets with hybrid NLP

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:02:04.317790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9088f106-10ba-4873-a87a-0d254d476c48 · outbound

This paper cites Bitext Customer Support LLM Training Dataset.

A Scalable and High Availability Solution for Recommending Resolutions to Problem Tickets Bitext Customer Support LLM Training Dataset

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:02:04.303459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 33f59c69-c128-437d-a237-060f99315649 · outbound

This paper cites Natural Language Processing Model for Log Analysis to Retrieve Solutions for Troubleshooting Processes [Master’s thesis].

A Scalable and High Availability Solution for Recommending Resolutions to Problem Tickets Natural Language Processing Model for Log Analysis to Retrieve Solutions for Troubleshooting Processes [Master’s thesis]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:02:04.289167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 43923843-6f3d-40ec-a0a9-3377880a494e · outbound

This paper cites Classifying customer complaints of a large fixed broadband service provider using machine learning.

A Scalable and High Availability Solution for Recommending Resolutions to Problem Tickets Classifying customer complaints of a large fixed broadband service provider using machine learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:02:04.273059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1aa50441-f681-4b70-b66d-b7a069be2c85 · outbound

This paper cites Automated Prioritization and Routing of IT Support Tickets Using Machine Learning [Master’s thesis].

A Scalable and High Availability Solution for Recommending Resolutions to Problem Tickets Automated Prioritization and Routing of IT Support Tickets Using Machine Learning [Master’s thesis]

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:02:04.256983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 231e2477-caa7-438e-b550-280154ef8930 · outbound

This paper cites TaDaa: real time Ticket Assignment Deep learning Auto Advisor for customer support, help desk, and issue ticketing systems.

A Scalable and High Availability Solution for Recommending Resolutions to Problem Tickets TaDaa: real time Ticket Assignment Deep learning Auto Advisor for customer support, help desk, and issue ticketing systems

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:02:04.240385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.