Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2212.10534.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:01:07.094854Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T02:52:21.830413Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation e1e73f3d-37d2-4fc7-a746-3bdba3fb80a5 · inbound
AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes DISCO: Distilling Counterfactuals with Large Language Models
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e06c7165-c2c9-4efa-b367-550c11e41768 · inbound
CF-VLM:CounterFactual Vision-Language Fine-tuning DISCO: Distilling Counterfactuals with Large Language Models
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7eb27d7-51db-41fc-90f6-7031e5ebb259 · inbound
GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching DISCO: Distilling Counterfactuals with Large Language Models
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7a46340-444f-4c49-86bb-da4e343423c0 · inbound
NeuronMLP: Efficient LLM Inference via Singular Value Decomposition Compression and Tiling on AWS Trainium DISCO: Distilling Counterfactuals with Large Language Models
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.