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Paper Citation Record · LEDGER

Structured Pruning of Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1910.04732.

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

pith.paper-citation-record.v1
1910.04732 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:05:17.966846Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T20:28:39.191613Z

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 0da91d8c-8b8e-4734-b2db-729bb24da655 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models Structured Pruning of Large Language Models

Reference 266

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:28:39.193800Z

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.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:1ab35487584c60a0ea8f90b89cad54f441a79f137517fe75aa8d23829d65dde6

Observation 44a6f313-2778-4626-8777-50a3549b9956 · inbound

AnchorFormer: Differentiable Anchor Attention for Efficient Vision Transformer cites this paper.

AnchorFormer: Differentiable Anchor Attention for Efficient Vision Transformer Structured Pruning of Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T15:05:17.966846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:17.966846Z digest=sha256:347ab329abd61aea65d6b8cda6ee16649ddff3462b6f074bc385049495f73c20

Observation a2225caf-fd1a-4178-87cd-6584f16fc14f · inbound

Pruning General Large Language Models into Customized Expert Models cites this paper.

Pruning General Large Language Models into Customized Expert Models Structured Pruning of Large Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:16.117972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:16.117972Z digest=sha256:867d71c1f6cc4499c9500d63c384f06350d979673302e2989341a2a0e3c410b0

Observation 467e8493-f8ec-4550-b95f-021b981257c9 · inbound

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity cites this paper.

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity Structured Pruning of Large Language Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:22.539186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:22.539186Z digest=sha256:b00199ce8b9eb8056f2cc7235dfcd22d92a3d5237ec41f550694e6b09540320d

Observation f5582c5c-dcae-4d72-8da3-fccbca0da466 · inbound

Structured Pruning for Diverse Best-of-N Reasoning Optimization cites this paper.

Structured Pruning for Diverse Best-of-N Reasoning Optimization Structured Pruning of Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T10:56:23.691771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:23.691771Z digest=sha256:ddb4e35f499a503aec61cabd23d8b1199f6d97efc384ab7733ad7ff69cb6b80e

Observation 1f6e4671-084b-42e3-9d4a-dfe86d20a2a3 · inbound

Attribution-Guided Pruning for Insight and Control: Circuit Discovery and Targeted Correction in Small-scale LLMs cites this paper.

Attribution-Guided Pruning for Insight and Control: Circuit Discovery and Targeted Correction in Small-scale LLMs Structured Pruning of Large Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:53:04.189813Z

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.

source=pdf_text observed=2026-05-19T08:52:45.818050Z digest=sha256:b1d1b1446fce4614a7b77a4972cac1921fd772c82d831bae7c2df755d1ec2038

Observation 56750787-23b1-4f20-ac50-1978e5d8b352 · inbound

Boosting Parameter Efficiency in LLM-Based Recommendation through Sophisticated Pruning cites this paper.

Boosting Parameter Efficiency in LLM-Based Recommendation through Sophisticated Pruning Structured Pruning of Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T18:54:16.295606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:16.295606Z digest=sha256:e5732d1c258287b9d1d6cd1b45621a5847770ee56cd1abd2e478821b5bb92bfa

Observation 2629489e-4475-4d8e-a6de-385e4ec79920 · inbound

Towards Inclusive NLP: Assessing Compressed Multilingual Transformers across Diverse Language Benchmarks cites this paper.

Towards Inclusive NLP: Assessing Compressed Multilingual Transformers across Diverse Language Benchmarks Structured Pruning of Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T14:11:13.161086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:11:13.161086Z digest=sha256:93de1456dd29d33a1fa3518ad1d9a607df7fea172d7dcfe345285e9066bdd028

Observation defd09fd-8467-406a-ab72-ea2b0172003a · inbound

Delta-SVD: Efficient Compression for Personalized Text-to-Image Models cites this paper.

Delta-SVD: Efficient Compression for Personalized Text-to-Image Models Structured Pruning of Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T17:14:00.390871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:14:00.390871Z digest=sha256:27bb99c82661e36a8b9f7f12cf0eda19b387d07f2d595743bb417e20575c6d78

Observation a70c3e9d-7212-4852-bdf8-ce5ea47ef585 · inbound

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning cites this paper.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Structured Pruning of Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T05:20:01.280806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:20:01.280806Z digest=sha256:07301207b4d1a05364fac8787d7ae3c0af84bae52cf55adab83bb4903477aead