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Paper Citation Record · LEDGER

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

As of 16 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:f23e2bd8f5cedda6f7a99fa9eb624563c0bb0a60bfdcb6e565fd9dc2341c3c04

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=sha256:2a183b27b16535a756dda1cfc3690be11277bde5697e4477146af0fb507eea4e

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=sha256:891cf28c90243f3029ba344aa797cd28efd1cb9d3040a7ac5137f89baa6302b4

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=sha256:511c94917d8d4b7877e6808beb08e8f2fdd2b149cfed82251e1131344739f96c

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=sha256:7ef584d817ad4b1805083ce3d57e6bf22d8dca6607c7e9774f5ae1bd77f5daf2

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:e86b853dd881de1a9d34b3c2bc485159a9bf6cb11e3d833a8f7b694507ab27a0

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=sha256:29d01ccb1a663047b74d193ec43dcf7d5213f61768219714505b8a09d7efa055

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=sha256:76b4b658b91efce29a79c2590373cef7460b4d37dea530010c76fefbc225296c

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:e1aa163bf8af3b0cf5908deda040011101181af601dd234197d84ebbda261d72

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=sha256:5a41e9da99a517616a7bc99ff7129ade169aa28b8a428859b60216b2dfc07c40

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:d21288543037aade6238a04aaf4a0c97c7cc3edc6f2c413340a17ff22fc0e461

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=sha256:34b01011f99cebd7d274c9087ed91f0dbbf9a6b66f45fc975c715971ef96209c

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=sha256:599433b1ac370d489526f9aabd77e84703a8c1e0f0a3b3c8c58fdc2960d0bfd4

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:cbd5de7c4f67ed28c22e07038d4097af8b45aa78af6e7db9b6f1980ed628204d

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=sha256:557c24fdfa12f11ace17a3acc4718df879906da2f01f64d782ead66c4570168c

Pith citing papers

No inbound Pith citation observations are available.