Paper Citation Record · LEDGER

A Survey of Small Language Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2410.20011.

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

pith.paper-citation-record.v1
2410.20011 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:30:06.796582Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T01:05:16.486332Z

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 7a8d7bda-abb0-4fe3-938c-13b3c5022583 · 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 Survey of Small Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T11:30:06.796582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 098a4931-58f1-4a09-9e04-0bb273386294 · inbound

AutoDroid-V2: Boosting SLM-based GUI Agents via Code Generation cites this paper.

AutoDroid-V2: Boosting SLM-based GUI Agents via Code Generation A Survey of Small Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T05:06:49.397763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e709871-fc63-4101-b293-ecf2ec627b46 · inbound

OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models cites this paper.

OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models A Survey of Small Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:09.380671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04c97565-fd9e-4563-92fe-0808a8aa8e93 · inbound

Towards Automated Fact-Checking of Real-World Claims: Exploring Task Formulation and Assessment with LLMs cites this paper.

Towards Automated Fact-Checking of Real-World Claims: Exploring Task Formulation and Assessment with LLMs A Survey of Small Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T23:18:29.440062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c425754-3f15-41ed-8bc9-5ae62daaf1ac · 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 Survey of Small Language Models

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:05:16.488678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3c06c320-f698-4152-9c58-a9c8360f274d · inbound

Investigating the Performance of Small Language Models in Detecting Test Smells in Manual Test Cases cites this paper.

Investigating the Performance of Small Language Models in Detecting Test Smells in Manual Test Cases A Survey of Small Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T16:37:43.350091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 221ed9a6-0505-426d-a249-62373d8dabeb · inbound

VocabTailor: Dynamic Vocabulary Selection for Downstream Tasks in Small Language Models cites this paper.

VocabTailor: Dynamic Vocabulary Selection for Downstream Tasks in Small Language Models A Survey of Small Language Models

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T22:41:54.044950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0d357488-fbff-48f6-8760-0e1d122f737d · inbound

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

Advancing SLM Tool-Use Capability using Reinforcement Learning A Survey of Small Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T11:10:01.962412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7868d12e-5ed5-4531-b8ba-778ca326a531 · inbound

Evaluating Small Language Models for Front-Door Routing: A Harmonized Benchmark and Synthetic-Traffic Experiment cites this paper.

Evaluating Small Language Models for Front-Door Routing: A Harmonized Benchmark and Synthetic-Traffic Experiment A Survey of Small Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:38:23.063642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7c3d2b7d-75ca-4917-b393-032afa486604 · inbound

FedDetox: Robust Federated SLM Alignment via On-Device Data Sanitization cites this paper.

FedDetox: Robust Federated SLM Alignment via On-Device Data Sanitization A Survey of Small Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:56:02.088696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bafb0c52-ad3c-4019-8a03-0995aa2f3a75 · 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 Survey of Small Language Models

Reference 2

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.