Paper Citation Record · LEDGER

Pre-training Distillation for Large Language Models: A Design Space Exploration

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.16215.

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

pith.paper-citation-record.v1
2410.16215 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:55:06.724926Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:33:28.221807Z

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 8a4e7ba8-003c-4c09-a170-8abdac2407f6 · inbound

Communication-Efficient Hybrid Language Model via Uncertainty-Aware Opportunistic and Compressed Transmission cites this paper.

Communication-Efficient Hybrid Language Model via Uncertainty-Aware Opportunistic and Compressed Transmission Pre-training Distillation for Large Language Models: A Design Space Exploration

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T20:55:06.724926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41a7662b-67f5-4659-b91c-87327689863c · inbound

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation cites this paper.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Pre-training Distillation for Large Language Models: A Design Space Exploration

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:34.630043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e56623e4-f720-4157-bcb8-78576f122463 · inbound

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training cites this paper.

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training Pre-training Distillation for Large Language Models: A Design Space Exploration

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:16:28.471178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d446611b-a325-4e2f-b16e-f8e31c4e7037 · inbound

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training cites this paper.

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training Pre-training Distillation for Large Language Models: A Design Space Exploration

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:23:51.144928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 28af4c14-515f-443b-b188-9752bd63bdb3 · inbound

Evolving Knowledge Distillation for Lightweight Neural Machine Translation cites this paper.

Evolving Knowledge Distillation for Lightweight Neural Machine Translation Pre-training Distillation for Large Language Models: A Design Space Exploration

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:56:24.393669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bc424dbc-4e3a-4ff5-b608-47e13f7b2272 · inbound

Apertus LLM Family Expansion via Distillation and Quantization cites this paper.

Apertus LLM Family Expansion via Distillation and Quantization Pre-training Distillation for Large Language Models: A Design Space Exploration

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:33:28.223064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.