Paper Citation Record · LEDGER

What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.00371.

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

pith.paper-citation-record.v1
2402.00371 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 2026-08-20T06:33:59.587034+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:21:42.049978Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:53:22.193711Z

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 c36bc039-6a2b-4e36-a071-a548d35041b8 · inbound

A Practical Examination of AI-Generated Text Detectors for Large Language Models cites this paper.

A Practical Examination of AI-Generated Text Detectors for Large Language Models What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T20:56:40.796037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8adc7f14-0d8e-4406-a5d9-cd63c9e5f210 · inbound

BotSim: LLM-Powered Malicious Social Botnet Simulation cites this paper.

BotSim: LLM-Powered Malicious Social Botnet Simulation What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:52.899118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b7bdd64-7daa-404e-8838-c4831bf110c7 · inbound

Large Language Model Safety: A Holistic Survey cites this paper.

Large Language Model Safety: A Holistic Survey What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T05:19:34.377170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2818c7d-b153-42bc-a9c8-93d93a0ef577 · inbound

What is a Social Media Bot? A Global Comparison of Bot and Human Characteristics cites this paper.

What is a Social Media Bot? A Global Comparison of Bot and Human Characteristics What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T22:44:49.610358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f275e9f8-c0b0-4667-bd80-2bc4506ace41 · inbound

BotHash: Efficient and Training-Free Bot Detection Through Approximate Nearest Neighbor cites this paper.

BotHash: Efficient and Training-Free Bot Detection Through Approximate Nearest Neighbor What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:53:22.198224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 477d2306-b6da-4cf0-9981-eefcebdec22e · inbound

How Large Language Models play humans in online conversations: a simulated study of the 2016 US politics on Reddit cites this paper.

How Large Language Models play humans in online conversations: a simulated study of the 2016 US politics on Reddit What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:19.442509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7afd8002-8b18-41e9-9587-eb61a42cae98 · inbound

On Understanding, Identifying, and Mitigating Vulnerabilities in Agentic Large Language Models cites this paper.

On Understanding, Identifying, and Mitigating Vulnerabilities in Agentic Large Language Models What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T14:21:42.049978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.