Paper Citation Record · LEDGER

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed

As of 19 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2608.11981.

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

pith.paper-citation-record.v1
2608.11981 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:24:40.832777Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

verified exact2
verified fuzzy13
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 996f3c81-a66c-44d5-9eb3-b2a7ac3ea939 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Gemma: Open Models Based on Gemini Research and Technology

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.704840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42e1cbfd-06b9-4eaa-8011-d706db8ff5dc · outbound

This paper cites Qwen2.5: A party of foundation models,.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Qwen2.5: A party of foundation models,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.708998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb10f292-97d4-4b41-988a-e25e95081b7d · outbound

This paper cites The Llama 3 Herd of Models.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed The Llama 3 Herd of Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.712538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 840642d8-66d2-4f18-ada8-28ee4a943cbc · outbound

This paper cites MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.715893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4376ef94-bcff-4915-b4c9-afb95a4665b7 · outbound

This paper cites SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.719522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ece8eac-4fb5-405f-9493-dfd707861406 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.722671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c039701-c7d5-4692-92be-810513662715 · outbound

This paper cites Sparsegpt: Massive language models can be accurately pruned in one-shot,.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Sparsegpt: Massive language models can be accurately pruned in one-shot,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:24:41.343531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0fb52a45-dea0-4672-a605-a56307989b8f · outbound

This paper cites AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.728965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfc97b4d-126a-4c1a-9a37-2da1d44f0fd6 · outbound

This paper cites Duquant: Distributing outliers via dual transformation makes stronger quantized llms,.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Duquant: Distributing outliers via dual transformation makes stronger quantized llms,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:24:41.335532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f5437e1a-72bd-4531-872b-5e9c32a9c5ef · outbound

This paper cites Efficient diffusion language models: A comprehensive survey,.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Efficient diffusion language models: A comprehensive survey,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:24:41.327650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ebc921d9-2e80-4d4f-a8a8-32b62993ea85 · outbound

This paper cites A survey on evaluation of large language models,.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed A survey on evaluation of large language models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:24:41.319607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b1f14345-00ac-4345-b74e-4cf8f25ab721 · outbound

This paper cites TrustLLM: Trustworthiness in Large Language Models.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed TrustLLM: Trustworthiness in Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.742845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57c6f41e-43d3-4a65-afe7-f7e6d991286b · outbound

This paper cites Promptbench: Towards evaluating the robustness of large language models on adversarial prompts,.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Promptbench: Towards evaluating the robustness of large language models on adversarial prompts,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:24:41.311147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4410c254-18b6-4cd3-90cd-d7797d68f880 · outbound

This paper cites Security and privacy challenges of large language models: A survey,.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Security and privacy challenges of large language models: A survey,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:24:41.302791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6ecdc64b-48cf-458e-814a-6a180f4fda31 · outbound

This paper cites Exploiting llm quantization,.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Exploiting llm quantization,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:24:41.294604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e6c15563-ff5f-4e54-8cfe-a0498eb58b36 · outbound

This paper cites Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.755344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20938df4-6f9f-40fa-abe7-d9dc1c4f0ceb · outbound

This paper cites Assessing safety risks and quantization-aware safety patching for quantized large language models,.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Assessing safety risks and quantization-aware safety patching for quantized large language models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:24:41.285618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1f1f1198-4630-4bec-8b49-b0ca3707da10 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.761557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c6ca2c5-3e96-4635-bada-776f76dcfd1f · outbound

This paper cites EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.764764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0c72600-a175-41cd-8054-6783bd53c7d9 · outbound

This paper cites Prune as you generate: Online rollout pruning for faster and better rlvr,.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Prune as you generate: Online rollout pruning for faster and better rlvr,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.767671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5c14214-7637-46dc-b371-22b82b6c7072 · outbound

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

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed A Simple and Effective Pruning Approach for Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.770847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44a5437d-e3d0-408d-8039-61d624705eea · outbound

This paper cites Llm-pruner: On the structural pruning of large language models,.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Llm-pruner: On the structural pruning of large language models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:24:41.276788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2c3d1bbf-3f9f-4301-b33e-0320d3a6cc69 · outbound

This paper cites DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training Quantization for Vision Transformers.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training Quantization for Vision Transformers

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.776539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96ca50dd-cb9c-4fa7-be3f-fb19a0f5bcb7 · outbound

This paper cites Quantization meets dllms: A systematic study of post-training quantization for diffusion llms,.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Quantization meets dllms: A systematic study of post-training quantization for diffusion llms,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.779686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6058288c-7f74-44a1-a0e7-d524360322d9 · outbound

This paper cites Lrq-dit: Log-rotation post-training quantization of diffusion transformers for image and video generation,.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Lrq-dit: Log-rotation post-training quantization of diffusion transformers for image and video generation,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.782664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ce70a51-7f12-4558-8f92-5df16e02c5cb · outbound

This paper cites QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.785571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e98c6e6-3fa2-469f-9dab-e229b1845301 · outbound

This paper cites DuQuant++: Fine-grained Rotation Enhances Microscaling FP4 Quantization.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed DuQuant++: Fine-grained Rotation Enhances Microscaling FP4 Quantization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.788540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f01f2a76-0633-4154-8aeb-44db9341066e · outbound

This paper cites Dapq-dit: Distribution-aware post-training quantization for efficient generative tasks in diffusion transformers,.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Dapq-dit: Distribution-aware post-training quantization for efficient generative tasks in diffusion transformers,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:24:41.268326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a455ada1-a5c6-47dc-bce8-219f4bfa7671 · outbound

This paper cites Reshape and rotate: Adaptive weight reshaping and fine-grained rotation for ultra-low-bit diffusion transformers quantization,.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Reshape and rotate: Adaptive weight reshaping and fine-grained rotation for ultra-low-bit diffusion transformers quantization,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:24:41.260039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7c4c414a-111e-4d44-b997-6cac23b261fb · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Distilling the Knowledge in a Neural Network

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.797871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42111034-99e7-4c20-80a6-756fcf626e02 · outbound

This paper cites Slog: An inductive spectral graph neural network beyond polynomial filter,.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Slog: An inductive spectral graph neural network beyond polynomial filter,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:24:41.251691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 58ef0c36-6713-46fd-a654-76c20ea58fc1 · outbound

This paper cites Image-level memorization detection via inversion-based inference perturbation,.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Image-level memorization detection via inversion-based inference perturbation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:24:41.241325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f0191e06-4a96-4036-ab52-bb0f99f9137c · outbound

This paper cites Medrek: Retrieval-based editing for medical llms with key-aware prompts,.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Medrek: Retrieval-based editing for medical llms with key-aware prompts,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.807725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 103151c8-f5c6-47d3-9f51-fc66c7cf6206 · outbound

This paper cites IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-16T00:24:40.922505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9cf8ba77-3c56-4d73-86ef-626fa315d725 · outbound

This paper cites MAC-Splat: Multi-Attribute Consistency for High-Fidelity Sparse-View Reconstruction.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed MAC-Splat: Multi-Attribute Consistency for High-Fidelity Sparse-View Reconstruction

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-16T00:24:40.907832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 66e58b15-8ae9-43ff-ae47-44234c3e829b · outbound

This paper cites A Survey on Knowledge Distillation of Large Language Models.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed A Survey on Knowledge Distillation of Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.817352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 328a75d5-aa1e-47c2-bfa3-04652e54604a · outbound

This paper cites H2O-Danube3 Technical Report.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed H2O-Danube3 Technical Report

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.820733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 084bf631-e73d-427a-8b5e-50675a7dadbf · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed On the Opportunities and Risks of Foundation Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.823760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2cb2152-d94f-46a3-8dc2-a8fb87434434 · outbound

This paper cites Aligning AI With Shared Human Values.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Aligning AI With Shared Human Values

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.826562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 492553a3-6c1f-4d53-bcce-763f5d74f821 · outbound

This paper cites Social Chemistry 101: Learning to Reason about Social and Moral Norms.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Social Chemistry 101: Learning to Reason about Social and Moral Norms

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.829592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6be98f66-f617-46a4-a4a9-9d0a1a024896 · outbound

This paper cites Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models.

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:40.832777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.