Paper Citation Record · LEDGER

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2

As of 4 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2512.22671.

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

pith.paper-citation-record.v1
2512.22671 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T18:55:48.540435Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T11:25:39.418964Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

verified exact16
verified fuzzy2
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b1f1d7d-7747-46c2-b9f1-40b47013ac2f · outbound

This paper cites NIRVANA: Structured Pruning Reimagined for Large Language Model Compression.

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 NIRVANA: Structured Pruning Reimagined for Large Language Model Compression

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-21T02:20:30.756931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 2752f341-8876-4411-94b4-ea32e2b7f8f0 · outbound

This paper cites SliceGPT: Compress Large Language Models by Deleting Rows and Columns.

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:58:19.021517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9984d5ee-22f3-41d3-80b6-0797f120f9a5 · outbound

This paper cites Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs.

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:58:19.024693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 767d55d5-aa94-4fc1-b505-e5fdcf98a7ba · outbound

This paper cites Can pruning make Large Language Models more efficient?.

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 Can pruning make Large Language Models more efficient?

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:58:18.981211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d51fdf24-d5ff-4fc3-a9ce-8fdea2648509 · outbound

This paper cites Dependency-Aware Semi-Structured Sparsity of GLU Variants in Large Language Models.

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 Dependency-Aware Semi-Structured Sparsity of GLU Variants in Large Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:58:18.976803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9d632509-9cc7-4abe-9675-f75f8954adf7 · outbound

This paper cites Instruction-Following Pruning for Large Language Models.

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 Instruction-Following Pruning for Large Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:58:19.017918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ab7addbe-4973-44d0-b510-d957f66c5722 · outbound

This paper cites Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods.

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:58:19.028449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 19ae8818-37b5-4486-af14-6e04f6ef3605 · outbound

This paper cites Truth Neurons.

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 Truth Neurons

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:58:19.031989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 38315544-0fb9-42ba-bf5a-cdd6fbed4faa · outbound

This paper cites Efficient LLMs with AMP: Attention Heads and MLP Pruning.

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 Efficient LLMs with AMP: Attention Heads and MLP Pruning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-31T01:08:26.145898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7458b619-10a0-4a75-bda5-015293fcfb83 · outbound

This paper cites Compact Language Models via Pruning and Knowledge Distillation.

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 Compact Language Models via Pruning and Knowledge Distillation

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:58:19.011236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 2f0ad6bb-de33-4797-8015-030edffafa00 · outbound

This paper cites arXiv:2505.18350 [cs].

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 arXiv:2505.18350 [cs]

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:58:19.003572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1a2cbb7e-7c00-4ca7-9458-a1eb1c2ba268 · outbound

This paper cites GLU Variants Improve Transformer.

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 GLU Variants Improve Transformer

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-16T18:58:19.000224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7f7edf20-5217-42e2-8f03-157b2ff64b04 · outbound

This paper cites A Simple and Effective Pruning Approach for Large Language Models.

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 A Simple and Effective Pruning Approach for Large Language Models

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-16T18:58:19.007288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8a9d76ab-aeba-4762-b804-50f32f0bc3b8 · outbound

This paper cites librosa/librosa: 0.6.3.

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 librosa/librosa: 0.6.3

Reference 14

Resolution: malformed identifier; doi_truncated, observed 2026-05-16T18:58:18.511287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7232e06d-0a39-438c-89aa-ae5ef513d8cd · outbound

This paper cites When Fewer Layers Break More Chains: Layer Pruning Harms Test-Time Scaling in LLMs.

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 When Fewer Layers Break More Chains: Layer Pruning Harms Test-Time Scaling in LLMs

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-21T03:22:30.098810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4014d4f8-ebe4-4157-9e85-317ab0948343 · outbound

This paper cites Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications.

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T18:58:18.996512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 05da1b48-ddd9-4c91-9f62-e482d31c653d · outbound

This paper cites Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning.

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:58:18.989602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a33dc195-a8fa-4260-9eb3-abf161242ae4 · outbound

This paper cites A Survey of Large Language Models.

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 A Survey of Large Language Models

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T18:58:18.992814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 14994c42-d4de-4a2c-9588-84ebfe2588af · outbound

This paper cites A Survey on Model Compression for Large Language Models.

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 A Survey on Model Compression for Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:58:18.985436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation df306856-9277-4b49-8e13-9684fdef45c8 · outbound

This paper cites Capability Dichotomy.

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 Capability Dichotomy

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:01:12.441841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 357835de-d9f8-4bb6-b299-3a94c8b100ed · outbound

This paper cites Lambada (PPL) WikiText-2 (PPL) Selection Criteria Value∆vs.

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 Lambada (PPL) WikiText-2 (PPL) Selection Criteria Value∆vs

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:01:12.439507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Pith citing papers

Observation 49a87d05-acb9-4e96-a157-9204b3899df6 · inbound

Fairness Pruning: Locating Demographic Bias in GLU-MLP Layers via Differential Activations cites this paper.

Fairness Pruning: Locating Demographic Bias in GLU-MLP Layers via Differential Activations Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-31T11:25:39.418964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.