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Paper Citation Record · LEDGER

The Impact of Model Scaling on Seen and Unseen Language Performance

As of 11 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2501.05629.

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

pith.paper-citation-record.v1
2501.05629 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:16:36.530942Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T05:15:07.811143Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:38:39.884548Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f1f125f-e353-488b-b3c3-5919d893bb18 · outbound

This paper cites This is reflected in how these models perform in the languages of the different resource levels.

The Impact of Model Scaling on Seen and Unseen Language Performance This is reflected in how these models perform in the languages of the different resource levels

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-10T21:16:36.853523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 4617a81c-9a95-4029-8287-4ce9153afe80 · outbound

This paper cites In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

The Impact of Model Scaling on Seen and Unseen Language Performance In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Reference 3

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raw_fallback, observed 2026-08-10T21:16:36.954244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:16:36.423131Z digest=sha256:35231ee5e68bde45fe3856670c4a021580028869eef8ead958771dc47d5307bb

Observation 3bf1263e-d382-44d9-8458-dfe0bf9413a0 · outbound

This paper cites PaLM 2 Technical Report.

The Impact of Model Scaling on Seen and Unseen Language Performance PaLM 2 Technical Report

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 086decec-dac1-4939-a3a5-7e10ffdd5ffd · outbound

This paper cites BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer.

The Impact of Model Scaling on Seen and Unseen Language Performance BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer

Reference 5

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no resolver link, observed 2026-08-10T21:16:36.431724Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:16:36.431724Z digest=sha256:0c6cd5d5178ff387dd51ed782ff9071d7835d81e2849f37aef2bd340fb4ed0aa

Observation f0c80d76-22dd-4d25-b625-603ce86f46ef · outbound

This paper cites English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts.

The Impact of Model Scaling on Seen and Unseen Language Performance English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts

Reference 6

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metadata mismatch
local_arxiv, observed 2026-08-10T21:16:36.796988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:16:36.435801Z digest=sha256:0856cf36a46756ed1f0e92207b2fef355e7e1656da08a0101ab2a0c7110605a5

Observation 95e94d7f-4bf5-41fc-9cea-9073ef39b414 · outbound

This paper cites In Miceli-Barone, A.

The Impact of Model Scaling on Seen and Unseen Language Performance In Miceli-Barone, A

Reference 7

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raw_fallback, observed 2026-08-10T21:16:36.942073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:16:36.440217Z digest=sha256:1f40e31a7ceb1c297499762008e47ef33582ebc7a6fa18bd2e4dde6dd07e0720

Observation 371649d0-32ed-4293-958d-1ee325144bc6 · outbound

This paper cites Understanding BLOOM: An empirical study on diverse NLP tasks.

The Impact of Model Scaling on Seen and Unseen Language Performance Understanding BLOOM: An empirical study on diverse NLP tasks

Reference 9

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local_arxiv, observed 2026-08-10T21:16:36.769473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:16:36.448387Z digest=sha256:2c6e55f69ee8759b2149d62a705c9ee79032e585b9e5bd5de1299515f7861b28

Observation a7bd4a1f-cd59-42e5-ab16-2255f170f382 · outbound

This paper cites Do Multilingual Language Models Think Better in English?.

The Impact of Model Scaling on Seen and Unseen Language Performance Do Multilingual Language Models Think Better in English?

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:16:36.452740Z digest=sha256:5ba6070d0973d3eb7eb06fff5a66d6c8dfdf9970373fc1d269934ea894eceddd

Observation 7e14ac71-e1e1-4a5f-b316-fd77a06a2b99 · outbound

This paper cites Training Compute-Optimal Large Language Models.

The Impact of Model Scaling on Seen and Unseen Language Performance Training Compute-Optimal Large Language Models

Reference 12

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:16:36.460825Z digest=sha256:7ee999f173c144123f282d250daba5838b6b314ff9ac5a8b029c23b216733973

Observation daa1b2ec-dd3a-4cb3-a250-0804b568295b · outbound

This paper cites arXiv:2402.04177.

The Impact of Model Scaling on Seen and Unseen Language Performance arXiv:2402.04177

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:16:36.464900Z digest=sha256:d54bd91a92d33eac1fa8efe2baa0743e01d1fbdb5b60d0e3a0f62f1d55448c03

Observation b7145e71-a3ed-4cca-8b5d-6e4feb0d1465 · outbound

This paper cites In Findings of the Association for Computational Linguistics: EMNLP 2023.

The Impact of Model Scaling on Seen and Unseen Language Performance In Findings of the Association for Computational Linguistics: EMNLP 2023

Reference 15

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raw_fallback, observed 2026-08-10T21:16:36.929475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:16:36.472323Z digest=sha256:61cb564ef10c3a6396741f6637f21f1083c32f26616bd5863cc6a3e2e4a6d66a

Observation b9d193bb-f27a-4e01-b500-cbdde0db3f55 · outbound

This paper cites In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Pro- cessing.

The Impact of Model Scaling on Seen and Unseen Language Performance In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Pro- cessing

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:36.915566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:16:36.475910Z digest=sha256:5c1b18305266892f393805ad3f9f7c6e961c6b462bb22a3a81a0aaf1a620cddb

Observation d5be2192-de13-4a1f-93f9-e1394cb60089 · outbound

This paper cites Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation.

The Impact of Model Scaling on Seen and Unseen Language Performance Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation

Reference 17

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no resolver link, observed 2026-08-10T21:16:36.480489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:16:36.480489Z digest=sha256:832b3b5b5e414da65f08f14409e7ef916c1be3b7c70af6dd323da8ce23c2889d

Observation 39bd3b45-d24e-4b3f-98cc-e068fd4ffa4e · outbound

This paper cites No Language Left Behind: Scaling Human-Centered Machine Translation.

The Impact of Model Scaling on Seen and Unseen Language Performance No Language Left Behind: Scaling Human-Centered Machine Translation

Reference 19

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no resolver link, observed 2026-08-10T21:16:36.488434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:16:36.488434Z digest=sha256:a4fc9ad10a7bc79a0eb33b7655f5e677ab4f6a63280fc58806e3ca84d3fe379d

Observation d2508260-3b02-4056-ab8e-e156267ca320 · outbound

This paper cites In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Lan- guage Technologies.

The Impact of Model Scaling on Seen and Unseen Language Performance In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Lan- guage Technologies

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:36.901535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:16:36.492393Z digest=sha256:2ae4baf59cf12d19ca009a96a5e08a3b7c71ebfb98d8b9d6228d60bfa7502a83

Observation 297ce364-ea8e-4370-80c1-c4c6cd27dde7 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

The Impact of Model Scaling on Seen and Unseen Language Performance Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:16:36.496190Z digest=sha256:3425017bca64ca4502fa50ced816229c7302041ed2212c24d0f88db8f9cbe564

Observation 721e949c-1b5b-4070-b5e3-68c09e95edba · outbound

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

The Impact of Model Scaling on Seen and Unseen Language Performance BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 22

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no resolver link, observed 2026-08-10T21:16:36.500073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:16:36.500073Z digest=sha256:3a2b9da9bf8818a720b3db703a149d7a2b173b50ee5beb1904ca61a9168a6fc7

Observation d50ca18b-7fb9-4cd2-a75e-7bdd69cacc18 · outbound

This paper cites Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model.

The Impact of Model Scaling on Seen and Unseen Language Performance Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model

Reference 23

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no resolver link, observed 2026-08-10T21:16:36.503827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:16:36.503827Z digest=sha256:19170d954b1144cd1ca8ed093e2d9f38dce9d64b7fbbb0373b807bc067d612fc

Observation 44002e0e-7377-4e1e-9824-642044c99781 · outbound

This paper cites In Miceli-Barone, A.

The Impact of Model Scaling on Seen and Unseen Language Performance In Miceli-Barone, A

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:36.888772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:16:36.507628Z digest=sha256:611e52e0fe77d63272fe64541cf312dadd5bcc1f7c115c604d70f70cc156e50e

Observation 05cd501f-7b5b-4a4e-9ecd-c5cc282b3421 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

The Impact of Model Scaling on Seen and Unseen Language Performance LLaMA: Open and Efficient Foundation Language Models

Reference 25

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no resolver link, observed 2026-08-10T21:16:36.511209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:16:36.511209Z digest=sha256:8f97ad91f30587b3a5d2b44cc407b24befd195ab934eb322fb32f3a5dd25ae35

Observation 05e1f653-c32b-4a51-b7c5-436528f61259 · outbound

This paper cites In Proceedings of the 2023 Confer- ence on Empirical Methods in Natural Language Processing.

The Impact of Model Scaling on Seen and Unseen Language Performance In Proceedings of the 2023 Confer- ence on Empirical Methods in Natural Language Processing

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:36.877135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:16:36.514766Z digest=sha256:101655dbeca27988245436789dcdb63892ad1060b10c2130ed27d08e1ef07dec

Observation cfbe763a-5528-4a63-8323-bbe3583050c6 · outbound

This paper cites Emergent Abilities of Large Language Models.

The Impact of Model Scaling on Seen and Unseen Language Performance Emergent Abilities of Large Language Models

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:16:36.519375Z digest=sha256:51e2cb4e4294f61c3002550f6693b7ffa0a3945b55dda777be8078d6866fd6b9

Observation 2e28f8be-3b22-4b8f-a1aa-bc9262512ce1 · outbound

This paper cites BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting.

The Impact of Model Scaling on Seen and Unseen Language Performance BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting

Reference 28

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source=pdf_text observed=2026-08-10T21:16:36.523171Z digest=sha256:f20a67430f9cd961ae345e8913a194e8e5e45f894dd7fff50be0f927315b4d14

Observation 4b3fe1ff-61a2-4f83-868c-a0f9db9a65ce · outbound

This paper cites In Rogers, A.; Boyd-Graber, J.; and Okazaki, N., eds., Findings of the Association for Computational Linguistics: ACL 2023, 7479–7498.

The Impact of Model Scaling on Seen and Unseen Language Performance In Rogers, A.; Boyd-Graber, J.; and Okazaki, N., eds., Findings of the Association for Computational Linguistics: ACL 2023, 7479–7498

Reference 29

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raw_fallback, observed 2026-08-10T21:16:36.865374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:16:36.527040Z digest=sha256:8b590c6996bf5f5eb3426d770d2c46ceaa255009273cb30744ff980251e25e6c

Observation 5683bba6-5a2a-4e1e-a55b-9be06f2cb7ac · outbound

This paper cites Deep Learning Scaling is Predictable, Empirically.

The Impact of Model Scaling on Seen and Unseen Language Performance Deep Learning Scaling is Predictable, Empirically

Reference 2017

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no resolver link, observed 2026-08-10T21:16:36.456694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:16:36.456694Z digest=sha256:8711ee2e60d44d9109fd00e8543a614c00a4e38398afff0124c53162b9feda54

Observation 8d2f8c57-60b1-43b0-8e6b-6dc5d6bcb6d7 · outbound

This paper cites Deep Double Descent: Where Bigger Models and More Data Hurt.

The Impact of Model Scaling on Seen and Unseen Language Performance Deep Double Descent: Where Bigger Models and More Data Hurt

Reference 2019

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no resolver link, observed 2026-08-10T21:16:36.484408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:16:36.484408Z digest=sha256:974e9da1863ff80b0aaf33ae239fa2f475f15c90444a0314f4bca50321bfe2cb

Observation b6d0aaf5-c7b2-43db-8c01-51647fc36098 · outbound

This paper cites Scaling Laws for Neural Language Models.

The Impact of Model Scaling on Seen and Unseen Language Performance Scaling Laws for Neural Language Models

Reference 2020

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no resolver link, observed 2026-08-10T21:16:36.468377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:16:36.468377Z digest=sha256:5726b83527556581a388b2e129bc25b8fd7c90a2b161368125023365d151c142

Observation 713a6942-881b-47eb-8e43-f64108085f6c · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

The Impact of Model Scaling on Seen and Unseen Language Performance PaLM: Scaling Language Modeling with Pathways

Reference 2022

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no resolver link, observed 2026-08-10T21:16:36.444013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:16:36.444013Z digest=sha256:77d62040d6234df7f88c7495681a99c9d03ffa62dfa6f27d08e409393d57170a

Observation c7cf4e1a-17f5-4a7c-8145-c2f01934a0cc · outbound

This paper cites GPT-4 Technical Report.

The Impact of Model Scaling on Seen and Unseen Language Performance GPT-4 Technical Report

Reference 2023

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unresolved
no resolver link, observed 2026-08-10T21:16:36.413727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:16:36.413727Z digest=sha256:dcd170483f3de1f26a522bd6b1f61f0daf34f816ea45ebda205994e5a049e5f2

Observation 5eba5210-cff3-4f45-9d58-51b705e81f59 · outbound

This paper cites SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects.

The Impact of Model Scaling on Seen and Unseen Language Performance SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects

Reference 2024

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no resolver link, observed 2026-08-10T21:16:36.418235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:16:36.418235Z digest=sha256:a026362956d775898ed864a4b4cfd00ca2255aff7ac036bfcffa5fc4c1de7afb

Pith citing papers

Observation f9fbbffb-9a63-44a0-9906-25036cee02fd · inbound

Beyond Perplexity: UTF-8 Validity in Byte-aware Language Models cites this paper.

Beyond Perplexity: UTF-8 Validity in Byte-aware Language Models The Impact of Model Scaling on Seen and Unseen Language Performance

Reference 14

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verified exact
arxiv_id, observed 2026-07-03T16:38:39.886066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T05:15:07.811143Z digest=sha256:5c1c641195268849c891b83bffeb0553333f46585aa03c3d654dbf2983aca9d2