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Paper Citation Record · LEDGER

Crosslingual Generalization through Multitask Finetuning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 59 inbound Pith citation observations for arXiv:2211.01786.

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

pith.paper-citation-record.v1
2211.01786 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 59 of 59 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 59 of 59 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:51:16.679464Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

29
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b52646c7-346e-4773-ae08-3d9403a353fa · inbound

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model cites this paper.

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model Crosslingual Generalization through Multitask Finetuning

Reference 287

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verified exact
arxiv_id, observed 2026-05-12T00:51:11.662472Z

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=arxiv_source observed=2026-05-12T00:51:10.919818Z digest=sha256:49da2dbdd352d7f6b362cd2e956705d66365cc0d6a9471a6eff8a17351768d7d

Observation ad200f19-f2c0-4d95-b20e-0945d6d22325 · inbound

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning cites this paper.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Crosslingual Generalization through Multitask Finetuning

Reference 40

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arxiv_id, observed 2026-05-24T09:14:16.290290Z

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=2026-05-24T09:13:30.054153Z digest=sha256:be10d24e4fecae7da5e164fcf7845a4fed7c3748cc20992af30187b01ab8a0cf

Observation 4deb85c4-d347-4c31-b5e8-33750cecf7b1 · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models Crosslingual Generalization through Multitask Finetuning

Reference 96

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verified exact
arxiv_id, observed 2026-05-10T22:46:39.811737Z

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=2026-05-10T22:46:39.268353Z digest=sha256:0e711929d61d60ec916e30c62739103cafa0803f81202d52273e4888b5a477be

Observation dfca57f0-e4ac-422c-bbff-43c173cb0609 · inbound

StarCoder: may the source be with you! cites this paper.

StarCoder: may the source be with you! Crosslingual Generalization through Multitask Finetuning

Reference 220

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arxiv_id, observed 2026-05-10T23:33:00.957352Z

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=arxiv_source observed=2026-05-10T23:32:59.517389Z digest=sha256:da34d648c7f604c28193a7217fd6814b8bbcf9485a596dde71a51eb873da134b

Observation 47fea4fa-8328-4dfe-b51f-20edd4f5ea0f · inbound

Scaling Data-Constrained Language Models cites this paper.

Scaling Data-Constrained Language Models Crosslingual Generalization through Multitask Finetuning

Reference 80

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verified exact
arxiv_id, observed 2026-05-18T01:35:21.307291Z

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=2026-05-18T01:35:21.150772Z digest=sha256:85d64dd80383e0ac431725bea9a203cf36fff96187ca17fd8c15f49f4cf9ff58

Observation cb855957-ce7c-4eb6-86a1-bffd5f17e675 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models Crosslingual Generalization through Multitask Finetuning

Reference 154

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verified exact
arxiv_id, observed 2026-05-19T20:28:39.502844Z

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=2026-05-19T20:28:38.900026Z digest=sha256:6a11d91b0ddb9eca2df6533fdb4758061ba6e6260101834250433f03455b19a4

Observation 915de81e-eb46-4927-9cc9-81124d216f38 · inbound

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning cites this paper.

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning Crosslingual Generalization through Multitask Finetuning

Reference 11

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verified exact
arxiv_id, observed 2026-05-18T08:26:42.011960Z

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=2026-05-18T08:26:41.953873Z digest=sha256:2cfc056367d57cc3d765416d339fecf3ed9bab3483a58f6007f3af9b07d85420

Observation 68ccdc6b-c913-41bb-bb02-8eafecf6c19d · inbound

C-Pack: Packed Resources For General Chinese Embeddings cites this paper.

C-Pack: Packed Resources For General Chinese Embeddings Crosslingual Generalization through Multitask Finetuning

Reference 39

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verified exact
arxiv_id, observed 2026-05-13T13:24:32.248843Z

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=2026-05-13T13:24:32.084878Z digest=sha256:34c5e450cc487b3bb47ef180a2f2608e21de3bd4bd5fb8290189e44dc0c10860

Observation d192c6c2-3f79-4ed4-a638-aa63c1376bbb · inbound

Aligning Large Multimodal Models with Factually Augmented RLHF cites this paper.

Aligning Large Multimodal Models with Factually Augmented RLHF Crosslingual Generalization through Multitask Finetuning

Reference 23

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verified exact
arxiv_id, observed 2026-05-15T17:58:17.890512Z

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=2026-05-15T17:58:17.699042Z digest=sha256:b24be47203f81925d71fac9c78f1fd3908019a18f4915547681d9a757b350e0a

Observation 0c3f40fe-6009-4a7a-8066-d726dc74c9cc · inbound

M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation cites this paper.

M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation Crosslingual Generalization through Multitask Finetuning

Reference 6

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arxiv_id, observed 2026-05-11T22:39:03.222741Z

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=arxiv_source observed=2026-05-11T22:39:02.540687Z digest=sha256:74e80ca72024b1254bc24b0bf2fe0ea73ed46f842c3909ccb37037ac7e8096d5

Observation 472bef35-8a98-495c-acf9-dbb4cea49de0 · inbound

Multilingual E5 Text Embeddings: A Technical Report cites this paper.

Multilingual E5 Text Embeddings: A Technical Report Crosslingual Generalization through Multitask Finetuning

Reference 56

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arxiv_id, observed 2026-05-12T19:17:31.688083Z

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=arxiv_source observed=2026-05-12T19:17:31.317115Z digest=sha256:603c32f0d37525bec460ced59093839a94df7fe5a7b42023e65dc47ab96ce966

Observation cdd92869-6323-4806-88a0-b98a0796d639 · inbound

StarCoder 2 and The Stack v2: The Next Generation cites this paper.

StarCoder 2 and The Stack v2: The Next Generation Crosslingual Generalization through Multitask Finetuning

Reference 239

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verified exact
arxiv_id, observed 2026-05-12T17:28:22.917416Z

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=arxiv_source observed=2026-05-12T17:28:22.353355Z digest=sha256:afe123fb5d9c50560bb00b46205a3a83c41763db36e60c4d10f8fbc28fd16946

Observation 572b4238-6036-43c4-a9ce-493bb68ee09b · inbound

Lessons from the Trenches on Reproducible Evaluation of Language Models cites this paper.

Lessons from the Trenches on Reproducible Evaluation of Language Models Crosslingual Generalization through Multitask Finetuning

Reference 231

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metadata mismatch
arxiv_id, observed 2026-05-16T18:44:49.830802Z

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=arxiv_source observed=2026-05-16T18:44:49.519995Z digest=sha256:5604d17fc1803e650a59747bba1d325e12d2f11357de385ca3b2f263be31000d

Observation 63733da6-9cc4-443e-be91-413a1a1fabce · inbound

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? cites this paper.

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? Crosslingual Generalization through Multitask Finetuning

Reference 52

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verified exact
arxiv_id, observed 2026-05-16T07:59:32.680192Z

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=2026-05-16T07:59:32.638758Z digest=sha256:dc8490cd9394cfda4403907d914cc114c5de75e3665f2003675a2974740ef099

Observation 4694d3bd-5c01-4507-ae0d-3c2a77624228 · inbound

ICPR 2024 Competition on Multilingual Claim-Span Identification cites this paper.

ICPR 2024 Competition on Multilingual Claim-Span Identification Crosslingual Generalization through Multitask Finetuning

Reference 14

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no resolver link, observed 2026-08-12T10:05:26.258630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:05:26.258630Z digest=sha256:97fc2ef1736ad977e68c336b0adfc897e746bbdcc7b36c572bb9324e1e1db9d7

Observation 54135201-755f-4156-b5b1-32675f72c980 · inbound

INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge cites this paper.

INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge Crosslingual Generalization through Multitask Finetuning

Reference 45

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no resolver link, observed 2026-08-12T05:56:43.088184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:56:43.088184Z digest=sha256:9cddcc0925992d85bebb2290d13bf7b4803214c99c99faf3e9bf3294e8fad688

Observation 958e3d59-a2e3-4821-b5a6-25e07cde6d06 · inbound

Best Practices for Large Language Models in Radiology cites this paper.

Best Practices for Large Language Models in Radiology Crosslingual Generalization through Multitask Finetuning

Reference 71

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no resolver link, observed 2026-08-12T04:35:59.497342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:35:59.497342Z digest=sha256:d1e2495d3c0876a89ce8a6b20e23f0606bd352edb00ae1282743fdf11aa80679

Observation 6a57101f-0b50-4287-b4d9-ab8891a2837b · inbound

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages cites this paper.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Crosslingual Generalization through Multitask Finetuning

Reference 20

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no resolver link, observed 2026-08-11T18:18:29.145049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:18:29.145049Z digest=sha256:47091664740caafc682dbdea05fa4a1b5112deb9be314d49fa688305af23118a

Observation 1e9d5a4e-1a2b-4cca-a943-e155b2f87dfc · inbound

Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning cites this paper.

Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning Crosslingual Generalization through Multitask Finetuning

Reference 68

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no resolver link, observed 2026-08-11T17:48:13.479915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:48:13.479915Z digest=sha256:fcfe2316287c83f56349c3d5219281c4d26c3681b77dc93185d721256bbd4d1f

Observation 01f06ba3-b9e3-45cc-811f-c424bce00611 · inbound

MALAMUTE: A Multilingual, Highly-granular, Template-free, Education-based Probing Dataset cites this paper.

MALAMUTE: A Multilingual, Highly-granular, Template-free, Education-based Probing Dataset Crosslingual Generalization through Multitask Finetuning

Reference 40

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no resolver link, observed 2026-08-11T16:24:00.067872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:24:00.067872Z digest=sha256:8ff8f6dfce118b08f00b57ffcfe09175bfea61c6e0b9b7f17bb29b625272ad80

Observation 49e888cd-0836-43b9-a784-ba1d7f29e57d · inbound

Exploring Cross-lingual Latent Transplantation: Mutual Opportunities and Open Challenges cites this paper.

Exploring Cross-lingual Latent Transplantation: Mutual Opportunities and Open Challenges Crosslingual Generalization through Multitask Finetuning

Reference 33

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verified exact
arxiv_id, observed 2026-05-23T07:05:29.106182Z

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=2026-05-23T07:05:16.608690Z digest=sha256:f029a13b2fed390f2f229ab5b4cdeb8e0145dda0f57731e561361c73bc40f632

Observation dd4da059-4b99-4f46-a0a8-f60298839123 · inbound

Cannot or Should Not? Automatic Analysis of Refusal Composition in IFT/RLHF Datasets and Refusal Behavior of Black-Box LLMs cites this paper.

Cannot or Should Not? Automatic Analysis of Refusal Composition in IFT/RLHF Datasets and Refusal Behavior of Black-Box LLMs Crosslingual Generalization through Multitask Finetuning

Reference 26

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no resolver link, observed 2026-08-11T05:58:47.372522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:58:47.372522Z digest=sha256:adbc13be2ae49de5242cb9e7388cc4b3f99516d1d38d89b4c1fe669591c1c70c

Observation 2db6ae51-c6ea-4e93-bab2-4fdbcc556f31 · inbound

Jasper and Stella: distillation of SOTA embedding models cites this paper.

Jasper and Stella: distillation of SOTA embedding models Crosslingual Generalization through Multitask Finetuning

Reference 62

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no resolver link, observed 2026-08-11T01:03:28.366760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T01:03:28.366760Z digest=sha256:81757c9588810e2912a8b2d4d9dd613b914da5e4bd0e4d41c198183cc11f9da2

Observation 5f8a3a71-fe97-49c6-b062-c1fd37772028 · inbound

A Survey on Large Language Models with some Insights on their Capabilities and Limitations cites this paper.

A Survey on Large Language Models with some Insights on their Capabilities and Limitations Crosslingual Generalization through Multitask Finetuning

Reference 205

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no resolver link, observed 2026-08-10T22:17:56.174791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:17:56.174791Z digest=sha256:f746ab599acb1f620e5fe2b3a63fe32e685cf4087ff2b33b418214646733adf3

Observation aabec4ce-8ddf-4c6e-af67-d293b99b2edb · inbound

Investigating Numerical Translation with Large Language Models cites this paper.

Investigating Numerical Translation with Large Language Models Crosslingual Generalization through Multitask Finetuning

Reference 13

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no resolver link, observed 2026-08-10T21:25:35.722270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:25:35.722270Z digest=sha256:e71ca034e6d6e55123c821a229c4bb65db2d5ada16b8aaee82d0cd69702a5357

Observation 353657b0-39cc-4b40-83df-16a9c7bab53d · inbound

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch cites this paper.

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch Crosslingual Generalization through Multitask Finetuning

Reference 89

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no resolver link, observed 2026-08-10T20:54:02.285019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:54:02.285019Z digest=sha256:e89b40c1f59ffc0229bcd404bd7e3798acade05c1deb4bd8b4bb02e70c4abd39

Observation 6287c6b2-21f2-4981-b94d-7137dd82b88a · inbound

A Driver Advisory System Based on Large Language Model for High-speed Train cites this paper.

A Driver Advisory System Based on Large Language Model for High-speed Train Crosslingual Generalization through Multitask Finetuning

Reference 25

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no resolver link, observed 2026-08-10T20:38:00.894929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:38:00.894929Z digest=sha256:a322d73d87e2b6b0af382bbf55db2e5a0a94de67e88cd525322804bdc51129fd

Observation da3810f0-ad63-4b9b-af39-5bdd428f222b · inbound

MiniMax-01: Scaling Foundation Models with Lightning Attention cites this paper.

MiniMax-01: Scaling Foundation Models with Lightning Attention Crosslingual Generalization through Multitask Finetuning

Reference 39

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verified exact
arxiv_id, observed 2026-05-16T06:26:38.644752Z

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=2026-05-16T06:26:38.569394Z digest=sha256:feaf9903b46c28f5c80da24d550ed6d1a1dfd8ad58117b747c5847c9e230a6e2

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

Extracting General-use Transformers for Low-resource Languages via Knowledge Distillation cites this paper.

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

Reference 10

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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 935baa46-b278-4059-94c9-4216709a48d9 · inbound

Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models cites this paper.

Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Crosslingual Generalization through Multitask Finetuning

Reference 30

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no resolver link, observed 2026-08-10T15:50:21.960583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:50:21.960583Z digest=sha256:6e3e00ec9039165b694d6e2b9c7da1f3e893c19967897bfe8c8df5973ed9cbb6

Observation 2e5dc8eb-a371-49fb-980e-a8fc1a478bf4 · inbound

Position: AI Scaling: From Up to Down and Out cites this paper.

Position: AI Scaling: From Up to Down and Out Crosslingual Generalization through Multitask Finetuning

Reference 2016

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no resolver link, observed 2026-08-09T18:19:21.027559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:19:21.027559Z digest=sha256:d5a5b1d817b86ded17634c27eb01eb09bf0ced4a480f4889ab2f798ad50fef94

Observation fa56761e-fc31-49dd-9cf1-1ae82036f9e3 · inbound

Beyond English: The Impact of Prompt Translation Strategies across Languages and Tasks in Multilingual LLMs cites this paper.

Beyond English: The Impact of Prompt Translation Strategies across Languages and Tasks in Multilingual LLMs Crosslingual Generalization through Multitask Finetuning

Reference 33

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no resolver link, observed 2026-08-07T21:54:37.149375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:54:37.149375Z digest=sha256:684067843a5f5d415d13d3eb16ff52e33ee1dc4343ff0ae7f379e0b0b51e6680

Observation e99896d5-a78a-4608-99e6-b40773b734eb · inbound

Multilingual Test-Time Scaling via Initial Thought Transfer cites this paper.

Multilingual Test-Time Scaling via Initial Thought Transfer Crosslingual Generalization through Multitask Finetuning

Reference 24

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no resolver link, observed 2026-08-07T15:20:22.067326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:20:22.067326Z digest=sha256:1bbb5c0962516e26be3cdf64df68bbc5088bf95ea7792b55420efdcdf7b3f076

Observation 417313c1-cc50-42f6-b690-1c93f4b9ea54 · inbound

Disentangling Language and Culture for Evaluating Multilingual Large Language Models cites this paper.

Disentangling Language and Culture for Evaluating Multilingual Large Language Models Crosslingual Generalization through Multitask Finetuning

Reference 14

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no resolver link, observed 2026-08-07T12:35:31.446833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:31.446833Z digest=sha256:bc2e3db6ec7000eca616480913ed9ba314a913c00c48f323277b269602279034

Observation 1c385f3f-fb6f-4273-ae83-96f21641387c · inbound

CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning cites this paper.

CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning Crosslingual Generalization through Multitask Finetuning

Reference 25

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no resolver link, observed 2026-08-07T12:02:24.128846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:02:24.128846Z digest=sha256:8e4524b9436de4f47fdd9875672b07db86884365d263baf1e9d321e605a0cb50

Observation 23428fa3-8c15-4266-ab5c-3717cc864ea8 · inbound

MaXIFE: Multilingual and Cross-lingual Instruction Following Evaluation cites this paper.

MaXIFE: Multilingual and Cross-lingual Instruction Following Evaluation Crosslingual Generalization through Multitask Finetuning

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T11:38:49.612677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:38:49.612677Z digest=sha256:68a188bd5ed562d3a3a8e87b4bed0c454c0b72062d2414129ff56fdd6a9f12d5

Observation e4f9eb9d-26e4-4e06-99aa-025c98575b88 · inbound

SingaKids: A Multilingual Multimodal Dialogic Tutor for Language Learning cites this paper.

SingaKids: A Multilingual Multimodal Dialogic Tutor for Language Learning Crosslingual Generalization through Multitask Finetuning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:12.343135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:12.343135Z digest=sha256:d613f9ca23e762ccf60e3cc4380685264e42760d500c59ccd9dba52a2508d909

Observation a4840f0b-a969-4b77-b44e-ab20bce2ed4c · inbound

Can LLMs Ground when they (Don't) Know: A Study on Direct and Loaded Political Questions cites this paper.

Can LLMs Ground when they (Don't) Know: A Study on Direct and Loaded Political Questions Crosslingual Generalization through Multitask Finetuning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T05:03:53.490920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:03:53.490920Z digest=sha256:fd219284fa5f908f312b7e0baacdf6386f22245d128ab343f25022d94f5049a6

Observation ac6c754e-7f41-4d73-830c-69b40b620b9b · inbound

The Emergence of Abstract Thought in Large Language Models Beyond Any Language cites this paper.

The Emergence of Abstract Thought in Large Language Models Beyond Any Language Crosslingual Generalization through Multitask Finetuning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T04:43:42.538532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:43:42.538532Z digest=sha256:2135a89ca359f60fbf400fdb5f2ed31aeaeefdcdd61d1362562b2525ba5a230a

Observation 3e5b779e-a007-4acf-a518-a8fde585fbbc · inbound

Large Language models for Time Series Analysis: Techniques, Applications, and Challenges cites this paper.

Large Language models for Time Series Analysis: Techniques, Applications, and Challenges Crosslingual Generalization through Multitask Finetuning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:51.659730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:51.659730Z digest=sha256:fcbdf9450f535feb120d299593be888f8070fa82ed23d608043070af271a0e59

Observation bc8e55aa-d712-48b1-ad2c-c4f64fbebd8f · inbound

QUST_NLP at SemEval-2025 Task 7: A Three-Stage Retrieval Framework for Monolingual and Crosslingual Fact-Checked Claim Retrieval cites this paper.

QUST_NLP at SemEval-2025 Task 7: A Three-Stage Retrieval Framework for Monolingual and Crosslingual Fact-Checked Claim Retrieval Crosslingual Generalization through Multitask Finetuning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:29.240816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:30:29.240816Z digest=sha256:a7d6626321b29ce74fe9569b69546678ca9d6e8d868146b2737378ffc92bf13d

Observation 09259d5b-5fde-4608-8cba-99007ce7114e · inbound

Losing our Tail, Again: (Un)Natural Selection & Multilingual LLMs cites this paper.

Losing our Tail, Again: (Un)Natural Selection & Multilingual LLMs Crosslingual Generalization through Multitask Finetuning

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:47:07.225695Z

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=arxiv_source observed=2026-05-19T06:43:13.780123Z digest=sha256:7d7fb6c68f056164f448bc361404a5bccbefb6fa4033f44907671ad1dd680689

Observation 14374ca8-330a-496b-93e1-03e32e0ccec0 · inbound

Revisiting LLM Value Probing Strategies: Are They Robust and Expressive? cites this paper.

Revisiting LLM Value Probing Strategies: Are They Robust and Expressive? Crosslingual Generalization through Multitask Finetuning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T16:28:27.961855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:28:27.961855Z digest=sha256:19042217acb484e3708934c2414d2b7324c0848bd85c8be4e14679cbd699fa07

Observation 83e1d029-7119-4064-acaa-3620e941649b · inbound

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters cites this paper.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Crosslingual Generalization through Multitask Finetuning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T16:24:34.168220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.168220Z digest=sha256:f17229ef3fc83da6f05195637d62c0f9c472a1705f4c1bbed2cdb4509a27ccdb

Observation 61258f7f-ff29-45ba-b517-2d5185f9ba74 · inbound

Learning Text Styles: A Study on Transfer, Attribution, and Verification cites this paper.

Learning Text Styles: A Study on Transfer, Attribution, and Verification Crosslingual Generalization through Multitask Finetuning

Reference 103

Resolution
unresolved
no resolver link, observed 2026-08-06T15:14:16.079463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:16.079463Z digest=sha256:b60552a5fcc03798f9c06a2122a0702a3d8c05523329e8ed0769246cc972f5cb

Observation 51b04839-ec5b-4803-9217-1de436dbe949 · inbound

CONCAP: Seeing Beyond English with Concepts Retrieval-Augmented Captioning cites this paper.

CONCAP: Seeing Beyond English with Concepts Retrieval-Augmented Captioning Crosslingual Generalization through Multitask Finetuning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T17:51:16.679464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:51:16.679464Z digest=sha256:69cfef5ce0962dc219eddd4996d2feb7a016e723a0264ba626f764da65b956f2

Observation 4e34da1c-db63-4a28-86e0-92e53682623d · inbound

How and Where to Translate? The Impact of Translation Strategies in Cross-lingual LLM Prompting cites this paper.

How and Where to Translate? The Impact of Translation Strategies in Cross-lingual LLM Prompting Crosslingual Generalization through Multitask Finetuning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T15:23:18.257843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:23:18.257843Z digest=sha256:c1658c341def7d935cd538b2c375f5934c2a60bc3389f136a0acd5591703471c

Observation 62d44409-ffa4-4a70-acb5-b3d8dcc8b068 · inbound

UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu cites this paper.

UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu Crosslingual Generalization through Multitask Finetuning

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T06:00:10.308640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T06:00:10.308640Z digest=sha256:a003ade44cd4b0f1f20d9be08b3fffa5710c5f946ef5cdf12f4995d8794206be

Observation e6629416-7812-4e51-8520-bd1af47402be · inbound

Preperiodic points, finiteness, and structures of semigroups of algebraic morphisms cites this paper.

Preperiodic points, finiteness, and structures of semigroups of algebraic morphisms Crosslingual Generalization through Multitask Finetuning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T21:15:36.757008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:15:36.757008Z digest=sha256:efeec80a34e2c5e1e780c55db32af90de494046d235e39ef2e353f5e2502c741

Observation cff181cd-ec73-4af6-94ac-16f9324d2c73 · inbound

Evaluating LLMs on Chinese Idiom Translation cites this paper.

Evaluating LLMs on Chinese Idiom Translation Crosslingual Generalization through Multitask Finetuning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T20:30:12.159650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:30:12.159650Z digest=sha256:00c410ad2f5293080c04d61284b731833b6a159817fafffc3c46aea0adeadaa4

Observation 55b81b03-7cc9-4fbd-a416-b7dc0026daba · inbound

ChiKhaPo: A Large-Scale Multilingual Benchmark for Evaluating Lexical Comprehension and Generation in Large Language Models cites this paper.

ChiKhaPo: A Large-Scale Multilingual Benchmark for Evaluating Lexical Comprehension and Generation in Large Language Models Crosslingual Generalization through Multitask Finetuning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-04T09:11:56.183245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:11:56.183245Z digest=sha256:8bd4aa4b6dcb9497a0e068e2eddf01b6fe42b29d88059e6182468cb65f825582

Observation c279f389-c57f-4e55-89bb-18f9280bb794 · inbound

Routing-Based Continual Learning for Multimodal Large Language Models cites this paper.

Routing-Based Continual Learning for Multimodal Large Language Models Crosslingual Generalization through Multitask Finetuning

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:55:35.409004Z

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=arxiv_source observed=2026-05-18T00:52:36.700027Z digest=sha256:c50f63e152f853ea939cd03a22ffb537e0d7a9c0b0e3b3682ed8265c496e7d9b

Observation 90efc484-954e-4484-8fe3-98fa63c7340b · inbound

The Wittgensteinian Representation Hypothesis: Is Language the Attractor of Multimodal Convergence? cites this paper.

The Wittgensteinian Representation Hypothesis: Is Language the Attractor of Multimodal Convergence? Crosslingual Generalization through Multitask Finetuning

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:06:37.055146Z

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=arxiv_source observed=2026-05-12T03:42:41.434485Z digest=sha256:ccc64137692cadd2d0bdd689a3cf54de86dbd20e68aa2e7ad258502f7728ff4e

Observation 38392ef4-2fd0-405f-a456-c10801c228bc · inbound

Learning to See What You Need: Gaze Attention for Multimodal Large Language Models cites this paper.

Learning to See What You Need: Gaze Attention for Multimodal Large Language Models Crosslingual Generalization through Multitask Finetuning

Reference 75

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T20:22:56.278693Z

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=arxiv_source observed=2026-05-14T20:13:18.813131Z digest=sha256:aa33d3079dcf4dc5f060d1fabd25761a1cabd1f23d4a5e08fab2340182fe0299

Observation f7f243a2-7445-4fec-b993-bff371198438 · inbound

"Chi nas dal soch el sent de legn" -- Auditing Text Corpora for Lombard cites this paper.

"Chi nas dal soch el sent de legn" -- Auditing Text Corpora for Lombard Crosslingual Generalization through Multitask Finetuning

Reference 78

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T13:06:59.117587Z

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=arxiv_source observed=2026-06-28T01:35:02.981356Z digest=sha256:c9c294b5b2f9c5e1d1e47690e7d9e9271f48283d3ee9a2be2f62b11e863394f6

Observation 1af9c8d1-c73b-403d-bb9e-bc75ef1c0f85 · inbound

WattLayer: Get Layers Right to Estimate Inference Energy of Neural Networks cites this paper.

WattLayer: Get Layers Right to Estimate Inference Energy of Neural Networks Crosslingual Generalization through Multitask Finetuning

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-06-29T04:53:06.192647Z

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=2026-06-29T04:48:13.407065Z digest=sha256:d415a22fda89a1957d5b23641dc183d3866d8db7205efe8a715040ea96c7126d

Observation 7a710e66-0b95-4882-b6c6-c93af261079d · inbound

Customized Generative AI Agent for Transportation Engineering Practice: A Development and Continued Pre-training Guideline cites this paper.

Customized Generative AI Agent for Transportation Engineering Practice: A Development and Continued Pre-training Guideline Crosslingual Generalization through Multitask Finetuning

Reference 121

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T12:54:40.746202Z

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=arxiv_source observed=2026-06-30T09:25:52.428198Z digest=sha256:ffd145260ab74e2bd8a0f3dd486066fd818bcebd45d05c98f36a9d8ef0221faf

Observation 6545ca63-268f-4e3c-8fba-3753d4521b7a · inbound

Customized Generative AI Agent for Transportation Engineering Practice: A Development and Continued Pre-training Guideline cites this paper.

Customized Generative AI Agent for Transportation Engineering Practice: A Development and Continued Pre-training Guideline Crosslingual Generalization through Multitask Finetuning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-12T11:11:37.048659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T11:11:37.048659Z digest=sha256:89586ee9e02df3fe821ff4a8d8ec6770040fd205487f5a10f5db5bec74e96319

Observation bd82e5cd-ff4c-4c90-ad2c-db2fad3e1e7a · inbound

MameLoshnLM: Yiddish Language Model and Evaluation Benchmark cites this paper.

MameLoshnLM: Yiddish Language Model and Evaluation Benchmark Crosslingual Generalization through Multitask Finetuning

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T22:27:36.610746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T22:27:36.610746Z digest=sha256:32626653054a9fe49a5ff54d15142d0cf0d5dca1851e0d7fb01b1a4a500fe349