Paper Citation Record · LEDGER

APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.12200.

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

pith.paper-citation-record.v1
2401.12200 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:13:39.796181Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T09:02:14.518612Z

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 39140dc0-ce8b-45ab-80bf-e1d8715e6492 · inbound

FTP: A Fine-grained Token-wise Pruner for Large Language Models via Token Routing cites this paper.

FTP: A Fine-grained Token-wise Pruner for Large Language Models via Token Routing APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T14:57:27.645472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbffbc6e-f309-4b74-9466-41507d492341 · inbound

FineGates: LLMs Finetuning with Compression using Stochastic Gates cites this paper.

FineGates: LLMs Finetuning with Compression using Stochastic Gates APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T13:37:39.109971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b290b01b-bd81-43d9-bc2e-c991d22d2838 · inbound

EfficientLLM: Efficiency in Large Language Models cites this paper.

EfficientLLM: Efficiency in Large Language Models APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference

Reference 299

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:39.796181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aee10fc1-99f2-4a51-8972-51ec7728b6b9 · inbound

MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on LLMs cites this paper.

MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on LLMs APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:02:14.522226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.