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Paper Citation Record · LEDGER

Users Favor LLM-Generated Content -- Until They Know It's AI

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.16458.

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

pith.paper-citation-record.v1
2503.16458 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T06:05:23.313542Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T16:40:09.278202Z

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 4e372843-4b21-45a2-b2ce-944643763d0c · inbound

Neither Valid nor Reliable? Investigating the Use of LLMs as Judges cites this paper.

Neither Valid nor Reliable? Investigating the Use of LLMs as Judges Users Favor LLM-Generated Content -- Until They Know It's AI

Reference 78

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:40:09.287693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T16:40:06.955374Z digest=sha256:8c8b21b1c013717ad68122599f2b4b345d1aaecfe63d20f5f7dd51fe6a4f2eff

Observation f392c5f4-cbf6-416f-87e5-0680439aa1e9 · inbound

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight cites this paper.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Users Favor LLM-Generated Content -- Until They Know It's AI

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T06:05:23.313542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:05:23.313542Z digest=sha256:fb86aebebb218c893cb09f91001241701d99a86cc18958d22817e536792a2175