Paper Citation Record · LEDGER

Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2304.01238.

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

pith.paper-citation-record.v1
2304.01238 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:27:53.574575Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

13
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 213f7207-8eb3-4d03-951f-074c72b95340 · inbound

Advacheck at GenAI Detection Task 1: AI Detection Powered by Domain-Aware Multi-Tasking cites this paper.

Advacheck at GenAI Detection Task 1: AI Detection Powered by Domain-Aware Multi-Tasking Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T18:14:35.207540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 797fe905-6325-4833-84bb-21202f490943 · inbound

Next-Generation Phishing: How LLM Agents Empower Cyber Attackers cites this paper.

Next-Generation Phishing: How LLM Agents Empower Cyber Attackers Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T15:51:08.496363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3af2354d-a1b5-4add-80e9-ae4b4bc9219a · inbound

PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications cites this paper.

PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T22:27:53.574575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f468fae-1b3e-4f44-83b5-d4b16b88142c · inbound

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques cites this paper.

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:24:31.067723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d5fe6cc1-250a-436c-a00e-cd75a61c0584 · inbound

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection cites this paper.

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:27.178371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.