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Paper Citation Record · LEDGER

Improving Social Media Popularity Prediction with Multiple Post Dependencies

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.15413.

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

pith.paper-citation-record.v1
2307.15413 v1

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 2026-08-06T14:00:10.076385Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:46:24.354357Z

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 057fddfc-50f0-4c3a-b1eb-8168b0969117 · inbound

Anchoring Trends: Mitigating Social Media Popularity Prediction Drift via Feature Clustering and Expansion cites this paper.

Anchoring Trends: Mitigating Social Media Popularity Prediction Drift via Feature Clustering and Expansion Improving Social Media Popularity Prediction with Multiple Post Dependencies

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T14:00:10.076385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:00:10.076385Z digest=sha256:195e201314d8bc96fc8206aafd97f5d7554571efe8a71ef0580852f4a72b0691

Observation 917c48ad-cff8-4e86-96c4-f49866abb849 · inbound

OmniTrend: Content-Context Modeling for Scalable Social Popularity Prediction cites this paper.

OmniTrend: Content-Context Modeling for Scalable Social Popularity Prediction Improving Social Media Popularity Prediction with Multiple Post Dependencies

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:46:24.357114Z

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=2026-05-07T14:00:15.854344Z digest=sha256:e43082ee1261c9f02f745cca32f5e875c1fbd30a46101ea071919fbc36968e1b