Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2212.01853.
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, observed 2026-08-06T22:15:26.922616Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T13:38:06.324880Z
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 c51cf98b-e571-425f-bbf9-cb073dfb0325 · inbound
MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism cites this paper.
MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:15:26.922616Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77c1d34e-f5b0-49df-a804-4d570799d029 · inbound
Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? cites this paper.
Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T13:38:06.437083Z
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 96c62d50-efea-4637-818d-48a3cb7d16c4 · inbound
Open Your Model's Eyes: Video and Context-Aware Multimodal Backchannel Prediction cites this paper.
Open Your Model's Eyes: Video and Context-Aware Multimodal Backchannel Prediction Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T11:32:58.855065Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.