Paper Citation Record · LEDGER

Can LLMs Simulate Social Media Engagement? A Study on Action-Guided Response Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.12073.

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

pith.paper-citation-record.v1
2502.12073 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:27:15.008580Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 43551583-bedf-4fdb-ac94-83be9ef62958 · inbound

LLMs are Introvert cites this paper.

LLMs are Introvert Can LLMs Simulate Social Media Engagement? A Study on Action-Guided Response Generation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T19:27:15.008580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5525c536-11d0-492e-a996-9f93176b86da · inbound

Assessing Capabilities of Large Language Models in Social Media Analytics: A Multi-task Quest cites this paper.

Assessing Capabilities of Large Language Models in Social Media Analytics: A Multi-task Quest Can LLMs Simulate Social Media Engagement? A Study on Action-Guided Response Generation

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:41:01.748377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e321fcf6-1db7-4cc2-9ff7-c4550b40a246 · inbound

HotComment: A Benchmark for Evaluating Popularity of Online Comments cites this paper.

HotComment: A Benchmark for Evaluating Popularity of Online Comments Can LLMs Simulate Social Media Engagement? A Study on Action-Guided Response Generation

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-09T02:04:35.825556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b5103a0d-d2c9-4265-a22e-b5dd24d896dc · inbound

Revising Context, Shifting Simulated Stance: Auditing LLM-Based Stance Simulation in Online Discussions cites this paper.

Revising Context, Shifting Simulated Stance: Auditing LLM-Based Stance Simulation in Online Discussions Can LLMs Simulate Social Media Engagement? A Study on Action-Guided Response Generation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:26:59.382914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.