Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2204.05832.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-24T09:13:30.054153Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T09:14:16.427663Z
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 fc8f302e-f3aa-45ac-a88a-6216586923dd · inbound
Flamingo: a Visual Language Model for Few-Shot Learning cites this paper.
Flamingo: a Visual Language Model for Few-Shot Learning What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?
Reference 121
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:22:30.301662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c2e2fcd7-b772-43f7-a518-6c368b7af8f0 · inbound
Emergent Abilities of Large Language Models cites this paper.
Emergent Abilities of Large Language Models What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?
Reference 88
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.233526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ac462a33-3b21-43aa-9cf4-c6e06d0879dc · inbound
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning cites this paper.
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T09:14:16.430799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3228e870-568a-4312-94fc-2d83e6eb31b9 · inbound
The Falcon Series of Open Language Models cites this paper.
The Falcon Series of Open Language Models What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?
Reference 85
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T09:46:10.099858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4a3f76f2-50fa-42fa-a61b-ba30395046ff · inbound
Benchmark Data Contamination of Large Language Models: A Survey cites this paper.
Benchmark Data Contamination of Large Language Models: A Survey What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?
Reference 154
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T23:10:41.115358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.