Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2204.08582.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:25:47.821364Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
22
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 47ccb78d-96ef-4450-adc3-19ab7e6cf041 · inbound
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Reference 156
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 20727a5d-14d2-4df3-8cc3-6f1e8531f64b · inbound
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Reference 231
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9798b72b-7f95-4db8-96bf-ae1066c9892c · inbound
Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence Embeddings MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4b91aacd-75a5-49de-abe8-58c9751b9ca4 · inbound
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Reference 158
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation eb67db71-e711-4d04-b2a5-2b3e52d8a8e1 · inbound
IntentGPT: Few-shot Intent Discovery with Large Language Models MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3274685-f536-40c1-b4de-3a25cffe551c · inbound
Comprehensive Audio Query Handling System with Integrated Expert Models and Contextual Understanding MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10aaec19-5e62-473e-8116-da35bd2b89c1 · inbound
Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Reference 66
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e55749b8-eea0-42a8-9ed0-4fd059cca110 · inbound
Jasper and Stella: distillation of SOTA embedding models MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Reference 43
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5227fe1-2784-42c6-9d26-7760e7b5979f · inbound
A Multi-Encoder Frozen-Decoder Approach for Fine-Tuning Large Language Models MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51707239-d9b9-43b1-83d1-f424685cf9da · inbound
Automatic Labelling with Open-source LLMs using Dynamic Label Schema Integration MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 377af1b3-9d64-40b3-9ba9-d445bb5c67a1 · inbound
Analysis of Indic Language Capabilities in LLMs MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01a2f8e3-12b6-4798-9e04-0a2ddf49ac5a · inbound
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Reference 1955
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e13a291e-6ed4-4871-9d8a-a0131878a111 · inbound
Cequel: Cost-Effective Querying of Large Language Models for Text Clustering MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Reference 2022
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c198a14-319d-48b6-9bbf-373959701937 · inbound
A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Reference 76
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a611fcd-294e-4569-b711-e8989aa50400 · inbound
Intent Classification on Low-Resource Languages with Query Similarity Search MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c44afdc6-6ba8-410d-b38b-c7bc0dac977e · inbound
LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 483159a3-476e-4f3d-81bb-ea033f65b641 · inbound
GLiNER2: An Efficient Multi-Task Information Extraction System with Schema-Driven Interface MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7fa525ac-2fc8-42a4-9445-f3721c7d5541 · inbound
Trust the uncertain teacher: distilling dark knowledge via calibrated uncertainty MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b2cb6743-6a96-4f4a-ab19-02d76309edc9 · inbound
Uncovering the Latent Potential of Deep Intermediate Representations MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Reference 72
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6066659e-09f6-433a-ab74-53ebec17c718 · inbound
Selecting Open-Weight Language Models for Zero-Shot Intent Classification: A Systematic Evaluation of 41 Models MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c44d333-42d4-43a6-b91d-f13504dad467 · inbound
The Embedder's Dilemma: LLMs Are Better, but at What Cost? MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Reference 77
Source-reported events for the cited work
Unavailable: canonical work link unavailable.