Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Symbol tuning improves in-context learning in language models
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.08298.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:29:54.126808Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T14:48:08.726227Z
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 7cf54401-f4f0-4986-95c2-08cefc9a2940 · inbound
Simple synthetic data reduces sycophancy in large language models cites this paper.
Simple synthetic data reduces sycophancy in large language models Symbol tuning improves in-context learning in language models
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T14:48:08.728461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2c2d99e8-6dab-4dc9-9b7d-4063e89e6821 · inbound
PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks cites this paper.
PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Symbol tuning improves in-context learning in language models
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:29:54.126808Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 726afa35-c252-4416-8545-3765528f6b30 · inbound
StaICC: Standardized Evaluation for Classification Task in In-context Learning cites this paper.
StaICC: Standardized Evaluation for Classification Task in In-context Learning Symbol tuning improves in-context learning in language models
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:06:14.511941Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.