Paper Citation Record · LEDGER

Cross-lingual Language Model Pretraining

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:1901.07291.

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

pith.paper-citation-record.v1
1901.07291 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:19:48.357769Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T23:06:20.169051Z

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 af56f0d8-e100-41ad-b942-f3a466826db3 · inbound

Evaluating the Supervised and Zero-shot Performance of Multi-lingual Translation Models cites this paper.

Evaluating the Supervised and Zero-shot Performance of Multi-lingual Translation Models Cross-lingual Language Model Pretraining

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-25T18:06:07.251257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5f06b988-92ff-44a3-b31c-534cbd3754e5 · inbound

RoBERTa: A Robustly Optimized BERT Pretraining Approach cites this paper.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Cross-lingual Language Model Pretraining

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:47:44.396678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation feb6b26c-f04c-482f-9fca-bf7c3292ce85 · inbound

CTRL: A Conditional Transformer Language Model for Controllable Generation cites this paper.

CTRL: A Conditional Transformer Language Model for Controllable Generation Cross-lingual Language Model Pretraining

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-17T06:14:02.619063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c360638a-c16b-46ae-82dc-78b5dde20708 · inbound

HuggingFace's Transformers: State-of-the-art Natural Language Processing cites this paper.

HuggingFace's Transformers: State-of-the-art Natural Language Processing Cross-lingual Language Model Pretraining

Reference 164

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:53:59.733741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a3a04c9c-e2dc-4a20-852f-c69b5fde2f5f · inbound

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer cites this paper.

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Cross-lingual Language Model Pretraining

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:37:55.768875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c1c1750e-2326-4fe5-b4fc-126cf6e96fc4 · inbound

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension cites this paper.

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension Cross-lingual Language Model Pretraining

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-13T00:14:58.216242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bd5edb9c-eb0f-41f0-905c-6f3acf91d05d · inbound

Language Models are Few-Shot Learners cites this paper.

Language Models are Few-Shot Learners Cross-lingual Language Model Pretraining

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:05:38.261268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ecf557d0-f8d9-4833-99c4-af2397f12606 · inbound

GraphCodeBERT: Pre-training Code Representations with Data Flow cites this paper.

GraphCodeBERT: Pre-training Code Representations with Data Flow Cross-lingual Language Model Pretraining

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-15T08:46:10.959581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d5f1fdbf-578d-4554-aa77-15e9d2949b82 · inbound

OPT: Open Pre-trained Transformer Language Models cites this paper.

OPT: Open Pre-trained Transformer Language Models Cross-lingual Language Model Pretraining

Reference 118

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T20:53:17.463809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e6415ed4-3d5e-45e6-9ec3-464cd5587ef3 · inbound

Large Language Models: A Survey cites this paper.

Large Language Models: A Survey Cross-lingual Language Model Pretraining

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:22:54.865814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 23edd3cb-8e5a-490d-94b6-11d266efda59 · inbound

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models cites this paper.

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models Cross-lingual Language Model Pretraining

Reference 227

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T06:38:36.996963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7b08decc-9afd-49ec-947a-39a43e0e7725 · inbound

How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP cites this paper.

How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP Cross-lingual Language Model Pretraining

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-23T17:38:15.884068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0a4cce97-e245-499e-bc75-d5a302cac353 · inbound

LIMO: Less is More for Reasoning cites this paper.

LIMO: Less is More for Reasoning Cross-lingual Language Model Pretraining

Reference 237

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T02:11:37.617879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 75861873-3080-4c37-a2bd-d62dcb2493bc · inbound

Evaluating Non-English Developer Support in Machine Learning for Software Engineering cites this paper.

Evaluating Non-English Developer Support in Machine Learning for Software Engineering Cross-lingual Language Model Pretraining

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:26:09.568584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9c53e84b-3858-48fe-8247-dd98ca0ce6fb · inbound

PortBERT: Navigating the Depths of Portuguese Language Models cites this paper.

PortBERT: Navigating the Depths of Portuguese Language Models Cross-lingual Language Model Pretraining

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T23:06:20.171059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7782fa2e-c940-4f7a-a365-4039928243b1 · inbound

Tokenizing Crosslingual Homographs cites this paper.

Tokenizing Crosslingual Homographs Cross-lingual Language Model Pretraining

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T17:19:48.357769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.