Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:44:27.869309Z
Paper Citation Record · LEDGER
Subjective Perspectives within Learned Representations Predict High-Impact Innovation
As of 8 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2506.04616.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
3 of 3 outbound references displayed
- verified exact1
- verified fuzzy0
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation dd8f06a4-62bb-4109-8fe3-7c3b7479e326 · outbound
This paper cites marginally below the acceptance threshold.
Subjective Perspectives within Learned Representations Predict High-Impact Innovation marginally below the acceptance threshold
Reference 2
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T10:44:28.454311Z
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 59c0df18-ba96-48c3-992e-863c9fc290cc · outbound
This paper cites an unresolved cited work.
Subjective Perspectives within Learned Representations Predict High-Impact Innovation Unresolved cited work
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:44:27.691769Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8332116-f08d-453e-aab1-f2e0dfb56119 · outbound
This paper cites In Silico Sociology: Forecasting COVID-19 Polarization with Large Language Models.
Subjective Perspectives within Learned Representations Predict High-Impact Innovation In Silico Sociology: Forecasting COVID-19 Polarization with Large Language Models
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:44:27.869309Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.