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Paper Citation Record · LEDGER

The Value of AI-Generated Metadata for UGC Platforms: Evidence from a Large-scale Field Experiment

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.18337.

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

pith.paper-citation-record.v1
2412.18337 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:35:30.794305Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T16:07:41.022406Z

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 7ec93419-0f31-4ccb-868c-03450f4d3f52 · inbound

Red Teaming AI Policy: A Taxonomy of Avoision and the EU AI Act cites this paper.

Red Teaming AI Policy: A Taxonomy of Avoision and the EU AI Act The Value of AI-Generated Metadata for UGC Platforms: Evidence from a Large-scale Field Experiment

Reference 116

Resolution
unresolved
no resolver link, observed 2026-08-07T11:35:30.794305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:35:30.794305Z digest=sha256:e973f4c4dc869d5fbb62badee17c2b39e817b963d20303e4df76bf4d269baa55

Observation ea5347c5-f4d5-410c-ade0-014e2a74475c · inbound

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation cites this paper.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation The Value of AI-Generated Metadata for UGC Platforms: Evidence from a Large-scale Field Experiment

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T21:03:04.200698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:03:04.200698Z digest=sha256:8de6017d6479e91427c0d0b0f85b2e54a99fe7d7e4ae824b7da934c5b698ca4d

Observation a15aac59-a737-4b48-a759-501fe74b5df7 · inbound

Fortress: A Case Study in Stabilizing Search Recommendations via Temporal Data Augmentation and Feature Pruning cites this paper.

Fortress: A Case Study in Stabilizing Search Recommendations via Temporal Data Augmentation and Feature Pruning The Value of AI-Generated Metadata for UGC Platforms: Evidence from a Large-scale Field Experiment

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:07:41.024780Z

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=2026-05-19T16:06:28.657109Z digest=sha256:a7e1b62fc402f7f6c492db13cb1527e41115fda3278a4a20bcb4a045d67ffb97