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Paper Citation Record · LEDGER

Extracting General-use Transformers for Low-resource Languages via Knowledge Distillation

As of 15 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2501.12660.

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

pith.paper-citation-record.v1
2501.12660 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:59:48.405674Z

measured 15 of 15 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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b3d2959-563e-4720-a989-58319292aa8b · outbound

This paper cites In Findings of the Association for Computational Lin- guistics: EMNLP 2023, pages 9387–9398, Singapore.

Extracting General-use Transformers for Low-resource Languages via Knowledge Distillation In Findings of the Association for Computational Lin- guistics: EMNLP 2023, pages 9387–9398, Singapore

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:59:48.538690Z

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.

source=pdf_text observed=2026-08-10T16:59:48.378876Z digest=sha256:e36ad11107554b120476220a63400c5f145140aef58e6c46b335691818a12ba1

Observation ff383a5d-843c-4fdd-a0c5-7f79ac171e86 · outbound

This paper cites Developing a Named Entity Recognition Dataset for Tagalog.

Extracting General-use Transformers for Low-resource Languages via Knowledge Distillation Developing a Named Entity Recognition Dataset for Tagalog

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T16:59:48.480350Z

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.

source=pdf_text observed=2026-08-10T16:59:48.382449Z digest=sha256:f4e3ba6ff77ead70975e2175aac7f4198f1a2849e2f0dd6bbf4f89a2b0575531

Observation fdb2b343-52b3-4803-9f26-fa968e38360f · outbound

This paper cites Crosslingual Generalization through Multitask Finetuning.

Extracting General-use Transformers for Low-resource Languages via Knowledge Distillation Crosslingual Generalization through Multitask Finetuning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T16:59:48.386239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:59:48.386239Z digest=sha256:8ab33b0f190ca05b3c4a99379be7648486325cb3d8df26a94bdd3226b0c18884

Observation 49e09c18-89bd-43b6-9677-571b85fa441e · outbound

This paper cites Leibniz-Institut für Deutsche Sprache.

Extracting General-use Transformers for Low-resource Languages via Knowledge Distillation Leibniz-Institut für Deutsche Sprache

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:59:48.527899Z

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.

source=pdf_text observed=2026-08-10T16:59:48.390205Z digest=sha256:bdb4bea1041d1e39c084fa1391420d9c582773748d22255cd37a781aecd6493a

Observation 12820168-803d-4d6c-9ea4-43ef0bfc9402 · outbound

This paper cites an unresolved cited work.

Extracting General-use Transformers for Low-resource Languages via Knowledge Distillation Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:59:48.517526Z

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.

source=pdf_text observed=2026-08-10T16:59:48.394045Z digest=sha256:70d8a8a4c71c2a48526bf079e0d82b5c6309e39d3252e61b386257ec80fac361

Observation dccfea49-d55b-4ba8-afb5-2b487fd95220 · outbound

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

Extracting General-use Transformers for Low-resource Languages via Knowledge Distillation DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T16:59:48.397701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:59:48.397701Z digest=sha256:a28020ec13cd9b0f5264377df15d0f45d12a817f94dfcd212c13c49b22fbcc31

Observation 089e3e17-f8f2-41c0-b4b5-ef25a7ff670e · outbound

This paper cites Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model.

Extracting General-use Transformers for Low-resource Languages via Knowledge Distillation Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T16:59:48.405674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:59:48.405674Z digest=sha256:43e2e508078f18db9bbe5ba151093a573eb084de0f0a165f76297729d4ae9864

Observation 5c2e65c9-53f1-46cd-92f5-1a036b96d145 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Extracting General-use Transformers for Low-resource Languages via Knowledge Distillation Distilling the Knowledge in a Neural Network

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-10T16:59:48.371091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:59:48.371091Z digest=sha256:04762ff3fb54ba44076c9badb692188131c86b7d93e17ede3466aedac319982c

Observation 1e8dbcea-a262-4d01-a1dc-039e488b3440 · outbound

This paper cites In Proceedings of the 2018 Conference on Empirical Methods in Natu- ral Language Processing.

Extracting General-use Transformers for Low-resource Languages via Knowledge Distillation In Proceedings of the 2018 Conference on Empirical Methods in Natu- ral Language Processing

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:59:48.559132Z

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.

source=pdf_text observed=2026-08-10T16:59:48.360016Z digest=sha256:0f672d3a676f300c2e01a9bf9e1d8046e0e926c1947094a615e528d17313a051

Observation 523f33d4-fe2f-4a50-acee-037211707b26 · outbound

This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.

Extracting General-use Transformers for Low-resource Languages via Knowledge Distillation DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-10T16:59:48.367287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:59:48.367287Z digest=sha256:4f46a2e5b3e9c0fc30d8699b527169f6f9864638ea635d66ddd9fbf075cf0c31

Observation 7ea4eeb0-8465-4631-9a0d-9c9cbf31dbfc · outbound

This paper cites TinyBERT: Distilling BERT for Natural Language Understanding.

Extracting General-use Transformers for Low-resource Languages via Knowledge Distillation TinyBERT: Distilling BERT for Natural Language Understanding

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-10T16:59:48.374596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:59:48.374596Z digest=sha256:835407a548950f4246d530fd907860a1fa3a714c0a73a85b08483512710b55c1

Observation 86d272ac-34a0-4ccd-8685-6ca2d3f1f1f1 · outbound

This paper cites an unresolved cited work.

Extracting General-use Transformers for Low-resource Languages via Knowledge Distillation Unresolved cited work

Reference 2021

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:59:48.548783Z

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.

source=pdf_text observed=2026-08-10T16:59:48.363519Z digest=sha256:8665ff9e7b261e49a5dd68ae33dc21408c0c6dfaaf6539fb5dd4ae25af6095ce

Observation 3ced9333-8270-4acf-b118-e8c30aa0526a · outbound

This paper cites an unresolved cited work.

Extracting General-use Transformers for Low-resource Languages via Knowledge Distillation Unresolved cited work

Reference 2022

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:59:48.570010Z

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.

source=pdf_text observed=2026-08-10T16:59:48.356705Z digest=sha256:2cec8c5feee6cf6fae2280880234e95710934c8397b6fc4221edfe3ab37f34f3

Observation c6e3d17f-83ca-420a-8df5-ca4b05c15f54 · outbound

This paper cites In Find- ings of the Association for Computational Linguis- tics: ACL 2023, pages 8147–8165, Toronto, Canada.

Extracting General-use Transformers for Low-resource Languages via Knowledge Distillation In Find- ings of the Association for Computational Linguis- tics: ACL 2023, pages 8147–8165, Toronto, Canada

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:59:48.580200Z

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.

source=pdf_text observed=2026-08-10T16:59:48.352682Z digest=sha256:6e64b27cc8aa96931bdcd910879a314a7d00beeca07ec44d29f8acfb07581b52

Observation 51bfb862-dd76-453d-b68b-314cebe9ef61 · outbound

This paper cites The Privileged Students: On the Value of Initialization in Multilingual Knowledge Distillation.

Extracting General-use Transformers for Low-resource Languages via Knowledge Distillation The Privileged Students: On the Value of Initialization in Multilingual Knowledge Distillation

Reference 2024

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T16:59:48.448909Z

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.

source=pdf_text observed=2026-08-10T16:59:48.401706Z digest=sha256:1f5fa4d08175acef1c5d1c421162693f14db7f0597ed68e1d24b75066f62bdad

Pith citing papers

No inbound Pith citation observations are available.