Paper Citation Record · LEDGER

Little Brains, Big Feats: Exploring Compact Language Models

As of 15 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2606.30062.

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

pith.paper-citation-record.v1
2606.30062 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T06:18:11.792566Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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 exact17
verified fuzzy0
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1dd5547a-ff7c-4cd3-8f03-04cb9ed90cfe · outbound

This paper cites In: Proceedings of the acl work- shop on intrinsic and extrinsic evaluation measures for machine translation and/or summarization.

Little Brains, Big Feats: Exploring Compact Language Models In: Proceedings of the acl work- shop on intrinsic and extrinsic evaluation measures for machine translation and/or summarization

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3106e49-ea86-465f-b6aa-300f50c19bcb · outbound

This paper cites In: Proceedings of the 45th Interna- tional ACM SIGIR Conference on Research and Development in Informa- tion Retrieval.

Little Brains, Big Feats: Exploring Compact Language Models In: Proceedings of the 45th Interna- tional ACM SIGIR Conference on Research and Development in Informa- tion Retrieval

Reference 2

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Source-reported events for the cited work

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Observation 17f2332e-5646-4449-9c3b-cd62d2f1b446 · outbound

This paper cites RaguTeam at SemEval-2026 Task 8: Meno and Friends in a Judge-Orchestrated LLM Ensemble for Faithful Multi-Turn Response Generation.

Little Brains, Big Feats: Exploring Compact Language Models RaguTeam at SemEval-2026 Task 8: Meno and Friends in a Judge-Orchestrated LLM Ensemble for Faithful Multi-Turn Response Generation

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-30T06:24:19.324822Z

Source-reported events for the cited work

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Observation c2a52247-f3bb-4de0-a3c9-883622e76a55 · outbound

This paper cites an unresolved cited work.

Little Brains, Big Feats: Exploring Compact Language Models Unresolved cited work

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccae9991-edf7-445f-9b4a-bc0e21dd4015 · outbound

This paper cites In: Proceedings of the 55th Annual Meeting of the Association for Computa- tional Linguistics (Volume 1: Long Papers).

Little Brains, Big Feats: Exploring Compact Language Models In: Proceedings of the 55th Annual Meeting of the Association for Computa- tional Linguistics (Volume 1: Long Papers)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-30T06:18:11.792566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 806f2e3d-44ed-4055-b7d7-9376a675c2bc · outbound

This paper cites an unresolved cited work.

Little Brains, Big Feats: Exploring Compact Language Models Unresolved cited work

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:24:19.349513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2a9721a3-4f90-4964-acc9-532ad2ac804e · outbound

This paper cites Investigations on applied mathematics and informatics.

Little Brains, Big Feats: Exploring Compact Language Models Investigations on applied mathematics and informatics

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-30T06:18:11.792566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ba42f7a-c336-4773-9798-2be2f2de5d4c · outbound

This paper cites an unresolved cited work.

Little Brains, Big Feats: Exploring Compact Language Models Unresolved cited work

Reference 8

Resolution: verified exact; doi, observed 2026-06-30T06:24:18.558998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e4a525bc-262f-459e-a378-79e340f282b3 · outbound

This paper cites In: Proceedings of the 18th conference of the european chapter of the association for computational linguistics: system demonstrations.

Little Brains, Big Feats: Exploring Compact Language Models In: Proceedings of the 18th conference of the european chapter of the association for computational linguistics: system demonstrations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-30T06:18:11.792566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb4c6476-c8f6-4d8d-8bdc-2ee75282085f · outbound

This paper cites RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems.

Little Brains, Big Feats: Exploring Compact Language Models RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:24:19.344651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fbf54dfc-ad7e-42bb-bc6a-1c69816c3b01 · outbound

This paper cites In: Analysis of Images, Social Networks and Texts.

Little Brains, Big Feats: Exploring Compact Language Models In: Analysis of Images, Social Networks and Texts

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-30T06:18:11.792566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57fd34df-49c0-4e4b-b437-dcecabe533c1 · outbound

This paper cites In: In- ternational conference on machine learning.

Little Brains, Big Feats: Exploring Compact Language Models In: In- ternational conference on machine learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-30T06:18:11.792566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f3193e2-4b20-41f0-99e2-9800d68d8b24 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Little Brains, Big Feats: Exploring Compact Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T06:24:19.338980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5d5d4c6c-b8f5-4fa9-81b9-a0ce8a5d4620 · outbound

This paper cites In: Findings of the Association for Computational Linguistics: ACL 2024.

Little Brains, Big Feats: Exploring Compact Language Models In: Findings of the Association for Computational Linguistics: ACL 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-30T06:18:11.792566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48007148-96b7-46f1-9cd7-49f44d3cc8e1 · outbound

This paper cites TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers.

Little Brains, Big Feats: Exploring Compact Language Models TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers

Reference 15

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Source-reported events for the cited work

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Observation b19a0848-3a76-40d3-8828-d646ef302ff8 · outbound

This paper cites In: Proceedings of the 2020 conference on empirical methods in natural language processing (EMNLP).

Little Brains, Big Feats: Exploring Compact Language Models In: Proceedings of the 2020 conference on empirical methods in natural language processing (EMNLP)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-30T06:18:11.792566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a214c589-612b-4642-92c6-f65755d7ba85 · outbound

This paper cites MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems.

Little Brains, Big Feats: Exploring Compact Language Models MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:24:19.330776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c830fd54-cc14-4236-86ab-be0e9d800fd1 · outbound

This paper cites In: Proceedings of the 43rd Interna- tional ACM SIGIR conference on research and development in Information Retrieval.

Little Brains, Big Feats: Exploring Compact Language Models In: Proceedings of the 43rd Interna- tional ACM SIGIR conference on research and development in Information Retrieval

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-30T06:18:11.792566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3df22b7c-f87e-47ca-87c3-25322bdf18d4 · outbound

This paper cites In: Proceedings of the 34th International Conference on Neural Information Processing Systems.

Little Brains, Big Feats: Exploring Compact Language Models In: Proceedings of the 34th International Conference on Neural Information Processing Systems

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-30T06:18:11.792566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26e690d1-b2b6-4c10-ab08-5b411ac69e2d · outbound

This paper cites In: Text summarization branches out.

Little Brains, Big Feats: Exploring Compact Language Models In: Text summarization branches out

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-30T06:18:11.792566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5d8fca4-bfb4-4614-ae62-91bb8bf17e92 · outbound

This paper cites In: Proceedings of the 2023 conference on empirical methods in nat- ural language processing.

Little Brains, Big Feats: Exploring Compact Language Models In: Proceedings of the 2023 conference on empirical methods in nat- ural language processing

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-30T06:18:11.792566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cd76708-2e5a-4e0c-9f3c-104f47e35132 · outbound

This paper cites In: Proceedings of the 40th annual meeting of the Association for Computational Linguistics.

Little Brains, Big Feats: Exploring Compact Language Models In: Proceedings of the 40th annual meeting of the Association for Computational Linguistics

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-30T06:18:11.792566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a169fc16-dd22-4f61-80e9-3653f653c09c · outbound

This paper cites SLM -Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts.

Little Brains, Big Feats: Exploring Compact Language Models SLM -Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts

Reference 23

Resolution: metadata mismatch; doi, observed 2026-06-30T06:24:18.556824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 72b04c59-f008-4134-9e3a-d1ead9788838 · outbound

This paper cites an unresolved cited work.

Little Brains, Big Feats: Exploring Compact Language Models Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-30T06:18:11.792566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 814db3c0-b749-4d59-8f5c-a44cda318d64 · outbound

This paper cites In: Proceedings of the first instructional conference on machine learning.

Little Brains, Big Feats: Exploring Compact Language Models In: Proceedings of the first instructional conference on machine learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-30T06:18:11.792566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a945f082-dae1-4f0e-8f07-d66b3e0d17d0 · outbound

This paper cites an unresolved cited work.

Little Brains, Big Feats: Exploring Compact Language Models Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-30T06:18:11.792566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e038149-cacd-479d-b9cf-cadfd38241b7 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Little Brains, Big Feats: Exploring Compact Language Models DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 27

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T06:24:19.355497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ce7d4f61-7514-4c45-bc11-2a61da0753dc · outbound

This paper cites SHAKTI: A 2.5 Billion Parameter Small Language Model Optimized for Edge AI and Low-Resource Environments.

Little Brains, Big Feats: Exploring Compact Language Models SHAKTI: A 2.5 Billion Parameter Small Language Model Optimized for Edge AI and Low-Resource Environments

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:24:19.346401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7c9bb142-a901-4202-b6d7-a68b3aa9d142 · outbound

This paper cites an unresolved cited work.

Little Brains, Big Feats: Exploring Compact Language Models Unresolved cited work

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43d0185e-bc4a-4969-8d8f-170ca37c38fa · outbound

This paper cites MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices.

Little Brains, Big Feats: Exploring Compact Language Models MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:24:19.351455Z

Source-reported events for the cited work

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Observation 2352b386-4a05-44b3-870f-3bc01a23afe9 · outbound

This paper cites MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries.

Little Brains, Big Feats: Exploring Compact Language Models MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-06-30T06:24:19.352476Z

Source-reported events for the cited work

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Observation a4d48333-e4d0-4791-b6cd-a22a07c951e2 · outbound

This paper cites A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness.ACM Trans.

Little Brains, Big Feats: Exploring 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.ACM Trans

Reference 32

Resolution: verified exact; doi, observed 2026-06-30T06:24:18.565078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f087396b-96b3-4aad-a3b8-506bccd3d457 · outbound

This paper cites In: Proceedings of the 3rd International Workshop on Rich Media With Generative AI.

Little Brains, Big Feats: Exploring Compact Language Models In: Proceedings of the 3rd International Workshop on Rich Media With Generative AI

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:24:18.554039Z

Source-reported events for the cited work

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Observation 7a68518f-ad23-4ef1-b412-9e09bc81d1d4 · outbound

This paper cites Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies.

Little Brains, Big Feats: Exploring Compact Language Models Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:24:19.335615Z

Source-reported events for the cited work

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Observation e7f04cc3-3d28-48b1-acad-41355c83b4f2 · outbound

This paper cites HealthSLM-Bench: Benchmarking Small Language Models for Mobile and Wearable Healthcare Monitoring.

Little Brains, Big Feats: Exploring Compact Language Models HealthSLM-Bench: Benchmarking Small Language Models for Mobile and Wearable Healthcare Monitoring

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-30T02:04:22.335073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b7199c5f-859f-4f2c-981d-e49fc87607b7 · outbound

This paper cites Empowering edge intelligence: A comprehensive survey on on-device ai models.

Little Brains, Big Feats: Exploring Compact Language Models Empowering edge intelligence: A comprehensive survey on on-device ai models

Reference 36

Resolution: verified exact; doi, observed 2026-06-30T06:24:18.561005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6ade29ff-8470-424d-a132-35047010bbaf · outbound

This paper cites In: Che, W., Nabende, J., Shutova, E., Pilehvar, M.T.

Little Brains, Big Feats: Exploring Compact Language Models In: Che, W., Nabende, J., Shutova, E., Pilehvar, M.T

Reference 37

Resolution: verified exact; doi, observed 2026-06-30T06:24:18.562889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a4c2b9fb-022d-44a4-81ff-b1a4ddcc2cc9 · outbound

This paper cites Qwen3 Technical Report.

Little Brains, Big Feats: Exploring Compact Language Models Qwen3 Technical Report

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-06-30T06:24:19.348758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8c49d304-24b3-4463-9e52-5378c1572818 · outbound

This paper cites CRAG -- Comprehensive RAG Benchmark.

Little Brains, Big Feats: Exploring Compact Language Models CRAG -- Comprehensive RAG Benchmark

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:24:19.358634Z

Source-reported events for the cited work

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Observation 726a72bb-2478-4c7a-9bf5-73d181156676 · outbound

This paper cites TinyLlama: An Open-Source Small Language Model.

Little Brains, Big Feats: Exploring Compact Language Models TinyLlama: An Open-Source Small Language Model

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-06-30T06:24:19.358182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e6704631-4341-4b97-ad92-8a8ecf10bf4d · outbound

This paper cites Advances in neural information processing systems36, 46595–46623 (2023).

Little Brains, Big Feats: Exploring Compact Language Models Advances in neural information processing systems36, 46595–46623 (2023)

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-30T06:18:11.792566Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.