Pith. sign in

Paper Citation Record · LEDGER

Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages

As of 10 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 2 inbound Pith citation observations for arXiv:2502.10140.

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

pith.paper-citation-record.v1
2502.10140 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:19:38.301005Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T00:46:36.000415Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:18:58.530467Z

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved4
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f48a014-6c5f-4189-9884-882e746eff2b · outbound

This paper cites Retrofitting Word Vectors to Semantic Lexicons.

Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages Retrofitting Word Vectors to Semantic Lexicons

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T19:19:38.492918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T19:19:38.175766Z digest=sha256:e73166d321330f97997c19e772f29206865fc37332799ef8ab98608a0f06130a

Observation f6aff06c-cc2f-4d59-8749-efc1fc7f4b73 · outbound

This paper cites In International Conference on Machine Learning, pages 2790–2799.

Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages In International Conference on Machine Learning, pages 2790–2799

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:19:38.745312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T19:19:38.183121Z digest=sha256:187da1c3388fb24b4f4a7bd8239a69c09d129df51d704a871670a7cd4c698f40

Observation b1f9a61a-e61a-42da-8d09-1e2246b1c45d · outbound

This paper cites Ayyoob Imani, Peiqin Lin, Amir Hossein Kargaran, Silvia Severini, Masoud Jalili Sabet, Nora Kass- ner, Chunlan Ma, Helmut Schmid, André Martins, FrançoisYvon,andHinrichSchütze.2023.

Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages Ayyoob Imani, Peiqin Lin, Amir Hossein Kargaran, Silvia Severini, Masoud Jalili Sabet, Nora Kass- ner, Chunlan Ma, Helmut Schmid, André Martins, FrançoisYvon,andHinrichSchütze.2023

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:19:38.595396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T19:19:38.194169Z digest=sha256:2d7f9eca451a7977b429be005454d2b9551a50a2f18cd1f1e666c18e519e81a0

Observation 7bd1d735-8cc0-49fb-bdce-12c7b349b823 · outbound

This paper cites InProceedings of the 7th Workshop onBalto-SlavicNaturalLanguageProcessing ,pages 114–119, Florence, Italy.

Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages InProceedings of the 7th Workshop onBalto-SlavicNaturalLanguageProcessing ,pages 114–119, Florence, Italy

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:19:38.560882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T19:19:38.217944Z digest=sha256:e42b14bcef4cf85420ba09bb49d8241f0541e6670c49eca1f907fe17b481aeed

Observation 97c1f72f-e74e-4e5f-89a7-5688f6519c6d · outbound

This paper cites In2019 International Conference of Advanced Informat- ics: Concepts, Theory and Applications (ICAICTA), pages 1–5.

Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages In2019 International Conference of Advanced Informat- ics: Concepts, Theory and Applications (ICAICTA), pages 1–5

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:19:38.542571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T19:19:38.237919Z digest=sha256:67ab664a543bebc8c8418490500eea69eed25787bf43d8df398ef34a842e35f4

Observation 7e570d99-06c6-4b2d-b257-6ae8c2c1fa46 · outbound

This paper cites Masked Language Model Scoring.

Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages Masked Language Model Scoring

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T19:19:38.258849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:19:38.258849Z digest=sha256:5b2fe3e57b04f83abc0aa742e131c1b3203d06222c703a9f046cee4cdcb97d34

Observation 46450c03-6d14-4997-9d6f-af8e28ed4e3e · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages Gemini: A Family of Highly Capable Multimodal Models

Reference 15

Resolution
malformed identifier
no resolver link, observed 2026-08-07T19:19:38.301005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:19:38.301005Z digest=sha256:afda9832e4af49256c91932a8c92661e6256ac55c05acdba8b436eb7bbaa4b89

Observation c2c3dda3-9dc0-471c-9dd3-07c5a4e5538e · outbound

This paper cites Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language.

Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language

Reference 2011

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T19:19:38.424260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T19:19:38.211758Z digest=sha256:decc8242aa105fb874da2382072f7b4ea286726c0ece3f10f15b0ee931f76dda

Observation 298370d4-fe6e-481a-ae59-4f4ed00a8fd4 · outbound

This paper cites Holistic Evaluation of Language Models.

Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages Holistic Evaluation of Language Models

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-07T19:19:38.204950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:19:38.204950Z digest=sha256:741aaf02275df20d19f82cc92826d30d6876e0de4c7727a48e7a467246fb8836

Observation ea5f5724-0e07-454e-baf9-6e2dd7c24250 · outbound

This paper cites BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer.

Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-07T19:19:38.137120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:19:38.137120Z digest=sha256:32c75b3dc7518bc7f3485cd8b804e7f95cab1f694241098c2f1338e6fbe48ea7

Observation 55843c0c-2f48-41b8-924c-244df4ecc472 · outbound

This paper cites Fabio Barth, Manuel Brack, Maurice Kraus, Pedro Or- tiz Suarez, Malte Ostendorf, Patrick Schramowski, and Georg Rehm.

Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages Fabio Barth, Manuel Brack, Maurice Kraus, Pedro Or- tiz Suarez, Malte Ostendorf, Patrick Schramowski, and Georg Rehm

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:19:38.782915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T19:19:38.159384Z digest=sha256:d955b4585f31585cfad9f6bbdbacb1ebe0bc247fb3bc6e724069fc38e99d5d46

Observation 76d9bc30-e742-4ec6-902e-e65fcc83a7ee · outbound

This paper cites In International Conference on Machine Learning, pages 4411–4421.

Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages In International Conference on Machine Learning, pages 4411–4421

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:19:38.646624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T19:19:38.189110Z digest=sha256:2b2ad6fce8315be8ce005500c7944bbb4da4b68a102b9c6e4c20828c3a889f85

Observation 43ab6ad6-7f29-440c-9133-33ef2664d404 · outbound

This paper cites ShaoxiongJi,ZihaoLi,IndraneilPaul,JaakkoPaavola, PeiqinLin,PinzhenChen,DayyánO’Brien,Hengyu Luo, Hinrich Schütze, Jörg Tiedemann, and Barry Haddow.

Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages ShaoxiongJi,ZihaoLi,IndraneilPaul,JaakkoPaavola, PeiqinLin,PinzhenChen,DayyánO’Brien,Hengyu Luo, Hinrich Schütze, Jörg Tiedemann, and Barry Haddow

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:19:38.577586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T19:19:38.199396Z digest=sha256:2f9d37ccd1fa3848f2a548ae9d6cb66b994ad4233890e0f494476c5f60e050d9

Observation 9f173914-a147-4453-8986-3b85ac389314 · outbound

This paper cites XNLI: Evaluating Cross-lingual Sentence Representations.

Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages XNLI: Evaluating Cross-lingual Sentence Representations

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T19:19:38.170108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:19:38.170108Z digest=sha256:42d80ded35143081b825f79d54bd42044dabf24ec6eaa46d2faa21ca227c06b4

Observation 68664662-0ce2-48de-9d4d-012804c3a43b · outbound

This paper cites L3Cube-MahaSent-MD: A Multi-domain Marathi Sentiment Analysis Dataset and Transformer Models.

Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages L3Cube-MahaSent-MD: A Multi-domain Marathi Sentiment Analysis Dataset and Transformer Models

Reference 2024

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T19:19:38.382018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T19:19:38.223286Z digest=sha256:a615e81dc633bff8ae4afc885977d36d0a5265345b3ac17cb2c8d4d12f46953a

Pith citing papers

Observation e3b2ab46-5250-44e7-b093-6a442babd97c · inbound

Task Prompt Vectors: Effective Initialization through Multi-Task Soft-Prompt Transfer cites this paper.

Task Prompt Vectors: Effective Initialization through Multi-Task Soft-Prompt Transfer Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:13:30.148330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T22:11:59.206066Z digest=sha256:3c3162d85c8b53e93ddb65cb839887a8a94c307f57ea575e95ac86650833a08e

Observation cddf229d-ee9c-4664-908c-70b5049d8621 · inbound

Want Better Synthetic Data? Steer It: Activation Steering for Low-Resource Language Generation cites this paper.

Want Better Synthetic Data? Steer It: Activation Steering for Low-Resource Language Generation Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:18:58.532194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T00:46:36.000415Z digest=sha256:2e95608a34093f068ae125203922840bde4ccf547c32f6856d2d3c4990e7d4ba