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Paper Citation Record · LEDGER

BotPercent: Estimating Bot Populations in Twitter Communities

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.00381.

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

pith.paper-citation-record.v1
2302.00381 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:18:53.021830Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T00:08:39.589892Z

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 c4715a51-fc87-426c-b280-f9c10832a503 · inbound

Automated versus Human Engagement: Mapping Cognitive Bias Triggers in Online Discourse cites this paper.

Automated versus Human Engagement: Mapping Cognitive Bias Triggers in Online Discourse BotPercent: Estimating Bot Populations in Twitter Communities

Reference 114

Resolution
verified exact
arxiv_id, observed 2026-05-24T00:08:39.592963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-24T00:06:26.606736Z digest=sha256:2ef23d042f53876309502824b57fe840b2d84cb302515a92eec01784e263a154

Observation afaab535-e0ac-424f-afd3-f25132c33436 · inbound

Social Cyber Geographical Worldwide Inventory of Bots cites this paper.

Social Cyber Geographical Worldwide Inventory of Bots BotPercent: Estimating Bot Populations in Twitter Communities

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-09T22:18:53.021830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:18:53.021830Z digest=sha256:9997bf61e6ce53589dfe87ca188bbc8ef868d8fa35e6ec2fd285771a65dc6d4c