Paper Citation Record · LEDGER

A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2411.03350.

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

pith.paper-citation-record.v1
2411.03350 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T22:01:24.143036Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

17
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 610a40c4-2181-474b-906f-aa38e3940687 · inbound

Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data cites this paper.

Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T22:01:24.143036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21bd3e7b-4ec1-4c91-bcd3-cf3af64683c8 · inbound

Large Language Model-Brained GUI Agents: A Survey cites this paper.

Large Language Model-Brained GUI Agents: A Survey A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 186

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:08:27.712589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9fda2aff-9fac-455c-a828-f95682f2dfc2 · inbound

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle cites this paper.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T12:55:17.165625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a91d8f71-6b4d-4602-acea-600c24a66286 · inbound

Insights into resource utilization of code small language models serving with runtime engines and execution providers cites this paper.

Insights into resource utilization of code small language models serving with runtime engines and execution providers A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T11:30:06.783375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08da04c2-67eb-4f39-99c4-02c2ca21db67 · inbound

Graph-based Molecular In-context Learning Grounded on Morgan Fingerprints cites this paper.

Graph-based Molecular In-context Learning Grounded on Morgan Fingerprints A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-08T19:29:59.104063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 036107fa-9f47-4314-9a60-a436126ed4c6 · inbound

Symbiotic Cooperation for Web Agents: Harnessing Complementary Strengths of Large and Small LLMs cites this paper.

Symbiotic Cooperation for Web Agents: Harnessing Complementary Strengths of Large and Small LLMs A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T11:24:43.560860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3008e07-0a3c-4090-bb95-9321f52ad1f8 · inbound

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices cites this paper.

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:05:16.135665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2a86c951-3ddd-4a8f-bc69-df4b3ec9f3ba · inbound

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models cites this paper.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:08.809326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9a30a73-eace-49b3-b8a2-b391f5ac171f · inbound

MedOrchestra: A Hybrid Cloud-Local LLM Approach for Clinical Data Interpretation cites this paper.

MedOrchestra: A Hybrid Cloud-Local LLM Approach for Clinical Data Interpretation A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:51.006745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 580b6fe5-e04a-4221-bf34-ddc6e1b4edaf · inbound

Small Language Models are the Future of Agentic AI cites this paper.

Small Language Models are the Future of Agentic AI A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-16T11:55:51.034841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 31136607-4831-46bb-ad2a-0bc3b980b891 · inbound

The State of Large Language Models for African Languages: Progress and Challenges cites this paper.

The State of Large Language Models for African Languages: Progress and Challenges A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:20.338729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29f96893-ab87-4a13-9600-d1c624411995 · inbound

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models cites this paper.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T06:03:44.775341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3a4de7e-c2fd-4b95-a2d4-19d0257026f4 · inbound

Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques cites this paper.

Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T05:56:56.900912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f0bd346-aeb7-4718-bfc5-642f61a4a52c · inbound

Latent Multi-Head Attention for Small Language Models cites this paper.

Latent Multi-Head Attention for Small Language Models A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:09.018890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fc159c6-a4f4-462a-8797-6b4e79b3f834 · inbound

Enhancing Reasoning Capabilities in SLMs with Reward Guided Dataset Distillation cites this paper.

Enhancing Reasoning Capabilities in SLMs with Reward Guided Dataset Distillation A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:03.646532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30c80e4a-ccfe-41b7-ab00-f763bfd2ca55 · inbound

Bradley-Terry and Multi-Objective Reward Modeling Are Complementary cites this paper.

Bradley-Terry and Multi-Objective Reward Modeling Are Complementary A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T18:51:26.988505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58b96656-de3d-45ea-bca6-533d3367b13c · inbound

TweakLLM: A Routing Architecture for Dynamic Tailoring of Cached Responses cites this paper.

TweakLLM: A Routing Architecture for Dynamic Tailoring of Cached Responses A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T10:32:40.842264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55ab1f11-415e-48c9-b4f1-643748c2ce20 · inbound

Unifying Mixture of Experts and Multi-Head Latent Attention for Efficient Language Models cites this paper.

Unifying Mixture of Experts and Multi-Head Latent Attention for Efficient Language Models A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T05:51:39.974567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9f2f777-4479-4f43-8264-26c864e409c7 · inbound

AI Propaganda factories with language models cites this paper.

AI Propaganda factories with language models A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T15:21:32.640611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8591ed5-cdcf-4658-9f78-2a8da7684f8a · inbound

Advancing SLM Tool-Use Capability using Reinforcement Learning cites this paper.

Advancing SLM Tool-Use Capability using Reinforcement Learning A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T11:10:01.491388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 323f0912-bb5f-4454-b7ae-7d7337b098e0 · inbound

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 243

Resolution: unresolved; no resolver link, observed 2026-08-05T04:50:32.434461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f86427bb-187d-4344-9af3-957b79b33ae1 · inbound

MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents cites this paper.

MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:42:48.164971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d9b1f5f0-7467-46eb-9432-acd14e36dde9 · inbound

Mitigating Attention Localization in Small Scale: Self-Attention Refinement via One-step Belief Propagation cites this paper.

Mitigating Attention Localization in Small Scale: Self-Attention Refinement via One-step Belief Propagation A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T22:30:12.162721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f2962c7-ab84-4b05-b9ed-d2241fc44d40 · inbound

Automatic Failure Attribution and Critical Step Prediction Method for Multi-Agent Systems Based on Causal Inference cites this paper.

Automatic Failure Attribution and Critical Step Prediction Method for Multi-Agent Systems Based on Causal Inference A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 2836

Resolution: unresolved; no resolver link, observed 2026-08-04T20:21:21.834038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d9d1d40-e9cd-486e-80f7-a774f0c708f5 · inbound

Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents cites this paper.

Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T04:15:09.581136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 061472c3-4fa2-4650-81ba-e98224fbdf8b · inbound

OrganicHAR: Towards Activity Discovery in Organic Settings for Privacy Preserving Sensors Using Efficient Video Analysis cites this paper.

OrganicHAR: Towards Activity Discovery in Organic Settings for Privacy Preserving Sensors Using Efficient Video Analysis A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-20T08:38:10.272618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 695f8bb7-2a11-4feb-a40b-2668cb485adf · inbound

Multi-Source Cybersecurity Logs: An ATT&CK-Labeled Dataset and SLM Evaluation cites this paper.

Multi-Source Cybersecurity Logs: An ATT&CK-Labeled Dataset and SLM Evaluation A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:58:59.108975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8516d15b-6f93-4a51-ac5e-26dafe50a3fc · inbound

Does Mixture-of-Experts Actually Help Inference on Consumer and Edge Hardware? An Empirical Study cites this paper.

Does Mixture-of-Experts Actually Help Inference on Consumer and Edge Hardware? An Empirical Study A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:59:39.599016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation abdae12e-2d53-4692-8246-628615cbc9fc · inbound

Does Mixture-of-Experts Actually Help Inference on Consumer and Edge Hardware? An Empirical Study cites this paper.

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-12T13:05:17.273287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cb2cf28-77c4-4d2c-a46b-093db0262b0f · inbound

PPE-Bench: A Benchmark for Evaluating MLLM Unlearning under Private-Public Entanglement cites this paper.

PPE-Bench: A Benchmark for Evaluating MLLM Unlearning under Private-Public Entanglement A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-12T06:18:42.939955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cbfb33f-8f8f-4e6e-a7b7-7f38a648ddb1 · inbound

Punching Above Their Weight: Classification-Head Fine-Tuning of Tiny Language Models (TLMs) for Verifiable Multiple-Choice Tasks cites this paper.

Punching Above Their Weight: Classification-Head Fine-Tuning of Tiny Language Models (TLMs) for Verifiable Multiple-Choice Tasks A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T23:52:16.201593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdb6da5a-a3c2-4b90-9f2b-e93652809269 · inbound

Energy- and Memory-Efficient PEFT Methods for Personalized On-Device SLMs on Consumer GPUs cites this paper.

Energy- and Memory-Efficient PEFT Methods for Personalized On-Device SLMs on Consumer GPUs A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T23:25:10.306623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.