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Paper Citation Record · LEDGER

Crosslingual Generalization through Multitask Finetuning

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 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 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:11:56.183245Z

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

Resolution
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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-12T00:51:10.919818Z digest=sha256:782d326733ae6da856b2b95e527ff5b27e7951a54c2f0cbfc324eb2bdb815512

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

Resolution
verified exact
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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T09:13:30.054153Z digest=sha256:c0285869cf136ca26c1c8e3b6771378ede4f741668e704b045c7b30cf2dbbed6

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

Resolution
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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:2ea8412eee6cbcfc7451c7465f1b42bd3f0ce37dc3c1c28ba6ec29a9eea6a1fc

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

Resolution
metadata mismatch
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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T23:32:59.517389Z digest=sha256:e8ecbb4d2e52ce33ccfb92c2328a2cf495e7e9f3ce888d267091984c3b9fd773

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

Resolution
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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T01:35:21.150772Z digest=sha256:3860bbb4ea398574737f5e20b6069f40650b7e1ab9f74457ba23048938001d73

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

Resolution
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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:88662ace6e4bf28880397536cda3dc2fed6ee517fdae55a1e1e15f161d54764f

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

Resolution
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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T08:26:41.953873Z digest=sha256:25789b2a718012c505182c0ecdb587a3a14b6c07c2f2f45c43411d56e6d479ed

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

Resolution
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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T13:24:32.084878Z digest=sha256:33c265e0656680b5c10c68783438fffde6503a49caec0e9f94d117d9d8a4e3bd

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

Resolution
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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T17:58:17.699042Z digest=sha256:6da4b68215c3667f675817f68e81a858a4545b3b09ede53cc378407c151d4e23

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

Resolution
metadata mismatch
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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-11T22:39:02.540687Z digest=sha256:6acb74b7b9a4e9302b48cce4229765aa8d8fcc777d1e3d8e028f5b1b8738c699

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

Resolution
metadata mismatch
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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-12T19:17:31.317115Z digest=sha256:83b821fc5afacc52ed07c859188b4dece794df2d443189a578d5164343193488

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

Resolution
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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-12T17:28:22.353355Z digest=sha256:af6e63b1827db06f4d1f9dc3b7ae5cf1d93b01485295ca9ccff9947d96b1eec2

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

Resolution
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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-16T18:44:49.519995Z digest=sha256:fa61a1115435166ad5e244135b91221b2e4a288d5241570dbefb9d81cf232701

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

Resolution
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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T07:59:32.638758Z digest=sha256:5b89f88661663514338c751c0175074478929216e729a3d6c60f6969db210786

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

Resolution
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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:05:16.608690Z digest=sha256:4aa18c11fbdf26843d2e00c1f9bd850a7beba54a684cb2201a2125185796a496

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

Resolution
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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:26:38.569394Z digest=sha256:2aa35410bb481303a7d4b75b4205668636cf13bd89fd725cf0f8c0e252ccc84f

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-19T06:43:13.780123Z digest=sha256:c646ce895aa0d0d464f2b2fb8a4aafc630e444996af05fad4da890549989abf9

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=sha256:65b712c1fa0c2892d02864ff3dd737171f8b6e1c6ba9bddf1251711addfeac15

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T00:52:36.700027Z digest=sha256:58c5c6a9717a8595599e068211c9ae12f1ca64658d99cd8af115610b1b35cc31

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-12T03:42:41.434485Z digest=sha256:497932028c4f693f3edece9aeb405938dce84b09264986454c526d82e05bb2ac

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-14T20:13:18.813131Z digest=sha256:c167c2c8658d6b97a9a870f19ca9462727d329f3fd90f486d21ab9cef1179a17

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T01:35:02.981356Z digest=sha256:f785c6fb233bdc10fb90e354fee70b046696d719c867170f32daf2689801e624

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T04:48:13.407065Z digest=sha256:dd507f48bea8e858f632db07ef273db3f7a5bcc2c1d0c80ac706b3464b372cd0

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T09:25:52.428198Z digest=sha256:aa1a841c10d50766572e8e7a1ae84a50b700f92d620e8a6ef9531f4334eea567

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:b4c01c56b3860bd90ff6c6301d2b4aae7c4d40c504c33945b935d385146c6572