Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Implicit meta-learning may lead language models to trust more reliable sources
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.15047.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:40:21.620137Z
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
0
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 0c8d3eb8-84ea-472b-a12a-d0bfcf67ede1 · inbound
When Does Metadata Conditioning (NOT) Work for Language Model Pre-Training? A Study with Context-Free Grammars cites this paper.
When Does Metadata Conditioning (NOT) Work for Language Model Pre-Training? A Study with Context-Free Grammars Implicit meta-learning may lead language models to trust more reliable sources
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:40:21.620137Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2722aba6-ea2f-4f2b-97e0-e38c73884991 · inbound
Consistency Training while Mitigating Obfuscation via Rate Matching cites this paper.
Consistency Training while Mitigating Obfuscation via Rate Matching Implicit meta-learning may lead language models to trust more reliable sources
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T14:32:18.114204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.