Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models
As of 25 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2212.10670.
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 2026-07-24T06:31:00.690269+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-20T14:42:55.368104Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z
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 351aa1f1-8960-4d65-8190-096a3142cf8d · inbound
A Survey on Knowledge Distillation of Large Language Models cites this paper.
A Survey on Knowledge Distillation of Large Language Models In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T23:31:11.619407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 8f161929-3086-4a8d-b908-e69d41ac0840 · inbound
A Survey on Efficient Inference for Large Language Models cites this paper.
A Survey on Efficient Inference for Large Language Models In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models
Reference 118
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T02:39:33.422880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 472c5697-fbce-427e-a6ea-a73f4fe20b73 · inbound
Large Language Model Post-Training: A Unified View of Off-Policy and On-Policy Learning cites this paper.
Large Language Model Post-Training: A Unified View of Off-Policy and On-Policy Learning In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models
Reference 59
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:30:53.891992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 28641ed8-1c1b-47be-99d6-7f1a31a57fd3 · inbound
PAINT: Partial-Solution Adaptive Interpolated Training for Self-Distilled Reasoners cites this paper.
PAINT: Partial-Solution Adaptive Interpolated Training for Self-Distilled Reasoners In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T03:55:08.448617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation d65d82bd-6755-4345-9668-bc5c0cac8e31 · inbound
Chain-based Distillation for Effective Initialization of Variable-Sized Small Language Models cites this paper.
Chain-based Distillation for Effective Initialization of Variable-Sized Small Language Models In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:40:54.046222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 1dec218e-018a-449c-82fd-0b01cbe6fe3b · inbound
XPERT: Expert Knowledge Transfer for Effective Training of Language Models cites this paper.
XPERT: Expert Knowledge Transfer for Effective Training of Language Models In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:46:18.779534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 636e47df-8da1-4552-9799-5cbef328143c · inbound
Self-Supervised On-Policy Distillation for Reasoning Language Models cites this paper.
Self-Supervised On-Policy Distillation for Reasoning Language Models In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T14:43:21.841999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.