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Paper Citation Record · LEDGER

Computational Sarcasm Analysis on Social Media: A Systematic Review

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.06170.

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

pith.paper-citation-record.v1
2209.06170 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:18:03.411598Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

4
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3686f394-db21-4db8-a55d-9bc727da9b15 · inbound

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models cites this paper.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models Computational Sarcasm Analysis on Social Media: A Systematic Review

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:18:03.411598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:18:03.411598Z digest=sha256:a0068726554eb0c5eeff546ed83ac6896296d0d655f424b142b953556f635808

Observation 2167a471-4c39-4f7e-bf09-344f1f5f74cd · inbound

LLM-Based vs. Lexicon-Based Sentiment Signals for Tail-Risk Detection in Meme Stocks cites this paper.

LLM-Based vs. Lexicon-Based Sentiment Signals for Tail-Risk Detection in Meme Stocks Computational Sarcasm Analysis on Social Media: A Systematic Review

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-07-31T23:11:01.132261Z

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=2026-07-31T23:07:53.545133Z digest=sha256:5a4c555bb10bf734456879c7e2c012cc1ed102648f506a47106e45c60acabb18