Paper Citation Record · LEDGER

DISCO: Distilling Counterfactuals with Large Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2212.10534.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2212.10534 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:47:09.307247Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-18T02:52:21.830413Z

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 a89b87ed-5bde-4dee-a300-5283a9a9df73 · inbound

LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering cites this paper.

LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering DISCO: Distilling Counterfactuals with Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T16:47:09.307247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1e73f3d-37d2-4fc7-a746-3bdba3fb80a5 · inbound

AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes cites this paper.

AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes DISCO: Distilling Counterfactuals with Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T00:13:38.229405Z

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 cites this paper.

CF-VLM:CounterFactual Vision-Language Fine-tuning DISCO: Distilling Counterfactuals with Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:07.094854Z

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 cites this paper.

GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching DISCO: Distilling Counterfactuals with Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T22:53:06.787151Z

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 cites this paper.

NeuronMLP: Efficient LLM Inference via Singular Value Decomposition Compression and Tiling on AWS Trainium DISCO: Distilling Counterfactuals with Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T02:52:21.834109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.