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Paper Citation Record · LEDGER

Dynamic Skill Adaptation for Large Language Models

As of 13 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2412.19361.

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

pith.paper-citation-record.v1
2412.19361 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:46:46.364957Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

66 of 66 outbound references displayed

  • verified exact4
  • verified fuzzy17
  • unresolved45
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3970d41e-c138-45c2-9725-feb073991992 · outbound

This paper cites write newline.

Dynamic Skill Adaptation for Large Language Models write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fe8ad168-8f8b-4b7f-a8bc-f3fbbb9668b1 · outbound

This paper cites Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs.

Dynamic Skill Adaptation for Large Language Models Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs

Reference 2

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Observation c1e13b69-f50b-4282-b742-34fcf14a0a50 · outbound

This paper cites Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets.

Dynamic Skill Adaptation for Large Language Models Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets

Reference 3

Resolution
verified exact
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Source-reported events for the cited work

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Observation 27eb835e-4342-42d6-9bca-944b1a7f84ab · outbound

This paper cites Curriculum learning.

Dynamic Skill Adaptation for Large Language Models Curriculum learning

Reference 4

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Source-reported events for the cited work

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Observation e87e661a-ad6f-4cb8-aa35-b7602f142314 · outbound

This paper cites On education.

Dynamic Skill Adaptation for Large Language Models On education

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 68611ef1-8a5d-483d-b7b7-36e8a15ec274 · outbound

This paper cites an unresolved cited work.

Dynamic Skill Adaptation for Large Language Models Unresolved cited work

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 56facae0-b583-432d-9291-68947addc28f · outbound

This paper cites Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models.

Dynamic Skill Adaptation for Large Language Models Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bc5ebe1e-d0cb-4289-b817-147715d013f3 · outbound

This paper cites Skill-it! a data-driven skills framework for understanding and training language models.

Dynamic Skill Adaptation for Large Language Models Skill-it! a data-driven skills framework for understanding and training language models

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e31b9722-e278-482d-afd7-82c8179bf717 · outbound

This paper cites Adapting Large Language Models to Domains via Reading Comprehension.

Dynamic Skill Adaptation for Large Language Models Adapting Large Language Models to Domains via Reading Comprehension

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b1715eab-7a80-4b54-959c-b207e4d777a6 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Dynamic Skill Adaptation for Large Language Models PaLM: Scaling Language Modeling with Pathways

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c392ddf2-42bb-40d2-90d3-17d812ff6d4b · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

Dynamic Skill Adaptation for Large Language Models Scaling Instruction-Finetuned Language Models

Reference 11

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Unavailable: canonical work link unavailable.

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Observation be4fe171-e6a3-424c-8089-05c27995014a · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Dynamic Skill Adaptation for Large Language Models Training Verifiers to Solve Math Word Problems

Reference 12

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Unavailable: canonical work link unavailable.

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Observation a7af6c68-6f9e-4e87-97a4-3505f024c3b7 · outbound

This paper cites Alpacafarm: A simulation framework for methods that learn from human feedback.

Dynamic Skill Adaptation for Large Language Models Alpacafarm: A simulation framework for methods that learn from human feedback

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ba47be7d-e415-45ef-8253-3fa27c4bdf8f · outbound

This paper cites Description of learning to learn in human subjects.

Dynamic Skill Adaptation for Large Language Models Description of learning to learn in human subjects

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 65282c32-1587-4771-a947-d5fa6eb15596 · outbound

This paper cites Faith and Fate: Limits of Transformers on Compositionality.

Dynamic Skill Adaptation for Large Language Models Faith and Fate: Limits of Transformers on Compositionality

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 594719e2-8128-4f77-8ad8-fc165d942dc9 · outbound

This paper cites Irreducible Curriculum for Language Model Pretraining.

Dynamic Skill Adaptation for Large Language Models Irreducible Curriculum for Language Model Pretraining

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 832c833a-0548-4389-8dc6-6379bb219412 · outbound

This paper cites CITING: Large Language Models Create Curriculum for Instruction Tuning.

Dynamic Skill Adaptation for Large Language Models CITING: Large Language Models Create Curriculum for Instruction Tuning

Reference 17

Resolution
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Source-reported events for the cited work

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Observation 1e0634dd-4dd1-4d50-a830-eda337058041 · outbound

This paper cites Mathematical capabilities of chatgpt.

Dynamic Skill Adaptation for Large Language Models Mathematical capabilities of chatgpt

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation eb863a8c-d8a4-470a-ad66-2ad5aeb09dca · outbound

This paper cites Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models.

Dynamic Skill Adaptation for Large Language Models Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models

Reference 19

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9c0109de-965b-437e-bccd-277ae6af3a96 · outbound

This paper cites Measuring massive multitask language understanding, 2021.

Dynamic Skill Adaptation for Large Language Models Measuring massive multitask language understanding, 2021

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1e767f76-6821-4f53-bcb9-aee7daf6c4c7 · outbound

This paper cites Towards a comprehensive theory of human learning.

Dynamic Skill Adaptation for Large Language Models Towards a comprehensive theory of human learning

Reference 21

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation bacde9a8-42bd-4874-b779-13575cae28b4 · outbound

This paper cites Mistral 7B.

Dynamic Skill Adaptation for Large Language Models Mistral 7B

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1afca7f7-034d-4e34-bb65-cbebe77db18e · outbound

This paper cites Self-paced curriculum learning.

Dynamic Skill Adaptation for Large Language Models Self-paced curriculum learning

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a04a001c-c236-46ef-b13f-aac56ddcab14 · outbound

This paper cites Decomposed Prompting: A Modular Approach for Solving Complex Tasks.

Dynamic Skill Adaptation for Large Language Models Decomposed Prompting: A Modular Approach for Solving Complex Tasks

Reference 24

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Unavailable: canonical work link unavailable.

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Observation 8f23cc26-8521-44de-83b7-2ea75ef56985 · outbound

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Dynamic Skill Adaptation for Large Language Models Unresolved cited work

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e0cdd669-d539-4bf8-9289-cf64e56cf69d · outbound

This paper cites Solving Quantitative Reasoning Problems with Language Models.

Dynamic Skill Adaptation for Large Language Models Solving Quantitative Reasoning Problems with Language Models

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6658b62d-5d68-4546-95a3-41aced3d8cd2 · outbound

This paper cites Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models.

Dynamic Skill Adaptation for Large Language Models Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 76b88a86-047c-4002-98d3-cc32490aa35c · outbound

This paper cites Textbooks Are All You Need II: phi-1.5 technical report.

Dynamic Skill Adaptation for Large Language Models Textbooks Are All You Need II: phi-1.5 technical report

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f39b5456-e5a9-4e5b-8850-9372b9b69492 · outbound

This paper cites YODA: Teacher-Student Progressive Learning for Language Models.

Dynamic Skill Adaptation for Large Language Models YODA: Teacher-Student Progressive Learning for Language Models

Reference 29

Resolution
verified exact
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Source-reported events for the cited work

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Observation c3b0067c-30f5-4674-b628-56c9f4fc4d9d · outbound

This paper cites WizardCoder: Empowering Code Large Language Models with Evol-Instruct.

Dynamic Skill Adaptation for Large Language Models WizardCoder: Empowering Code Large Language Models with Evol-Instruct

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 809a85ee-c6dc-4046-9ec2-37599e9b736a · outbound

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Dynamic Skill Adaptation for Large Language Models Teacher--student curriculum learning

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ef42d188-c1ab-4e3c-a70e-9579d696ec5a · outbound

This paper cites Prioritized training on points that are learnable, worth learning, and not yet learned (workshop version).

Dynamic Skill Adaptation for Large Language Models Prioritized training on points that are learnable, worth learning, and not yet learned (workshop version)

Reference 32

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3c2f2b32-0980-4397-9b8f-7a9cee0c07a9 · outbound

This paper cites Cross-task generalization via natural language crowdsourcing instructions.

Dynamic Skill Adaptation for Large Language Models Cross-task generalization via natural language crowdsourcing instructions

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 13f075d7-ade4-47c9-a978-8f118c32a61d · outbound

This paper cites Rethinking the social studies curriculum in the context of globalization: Education for global citizenship in the us.

Dynamic Skill Adaptation for Large Language Models Rethinking the social studies curriculum in the context of globalization: Education for global citizenship in the us

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:47.297101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 4cfecbf9-7d53-4ce5-b595-515b88273fe0 · outbound

This paper cites CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.

Dynamic Skill Adaptation for Large Language Models CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3c602219-9f1b-49b7-9c97-14c59c75a4b9 · outbound

This paper cites Gpt-4 technical report, 2023.

Dynamic Skill Adaptation for Large Language Models Gpt-4 technical report, 2023

Reference 36

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 375d3144-9988-463f-b62c-93289740a5be · outbound

This paper cites Training language models to follow instructions with human feedback.

Dynamic Skill Adaptation for Large Language Models Training language models to follow instructions with human feedback

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 77efb8ef-6389-4760-a42d-5c1de4e374e3 · outbound

This paper cites Compositional data augmentation for abstractive conversation summarization.

Dynamic Skill Adaptation for Large Language Models Compositional data augmentation for abstractive conversation summarization

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T00:46:46.217005Z digest=sha256:ffa3ec06bf0bc5860673cbdc9036cbd989f2bd8da95cf8675c04e8e20b3bb474

Observation 41b60091-6ff7-4685-876d-4fa1faa733e0 · outbound

This paper cites Automatic Curriculum Learning For Deep RL: A Short Survey.

Dynamic Skill Adaptation for Large Language Models Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 39

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no resolver link, observed 2026-08-11T00:46:46.222004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:46:46.222004Z digest=sha256:b741d364301ca2689bb489959593e850b9f07e6151544ff3520b26c059206084

Observation 7d6103e5-c952-4659-855b-82ca2fed6cd2 · outbound

This paper cites Is ChatGPT a General-Purpose Natural Language Processing Task Solver?.

Dynamic Skill Adaptation for Large Language Models Is ChatGPT a General-Purpose Natural Language Processing Task Solver?

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:46.227192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:46:46.227192Z digest=sha256:74c7c9ff96003ad74231a7951818bba32114f4416058bcfd1c69d7855f5e4b89

Observation b078daf8-9ceb-4fdf-8e50-467bc4ef1adb · outbound

This paper cites Language models are unsupervised multitask learners.

Dynamic Skill Adaptation for Large Language Models Language models are unsupervised multitask learners

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:47.238280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T00:46:46.232265Z digest=sha256:5ed19f20f75263f4e617357cf6be4f90084f2c7d4add4a620b07b733c38aa589

Observation e1837fc1-40a4-434a-bb62-930c21d34316 · outbound

This paper cites Conformal Nucleus Sampling.

Dynamic Skill Adaptation for Large Language Models Conformal Nucleus Sampling

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:46.237688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:46:46.237688Z digest=sha256:ef0cb5430fda0c6a11b741993309ac14a8df1c020cf0d0780f68770ab4b11a03

Observation 7d84d647-d55c-4a78-9a27-3d8068e01303 · outbound

This paper cites Multitask Prompted Training Enables Zero-Shot Task Generalization.

Dynamic Skill Adaptation for Large Language Models Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:46.243318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:46:46.243318Z digest=sha256:ba8425fa40dbcf0b4f21ac1d0d6b451e837cab5fc472180cbdabdaa49c2c2c07

Observation c064ce16-ac29-444d-ad46-ead302275d5e · outbound

This paper cites Data parameters: A new family of parameters for learning a differentiable curriculum.

Dynamic Skill Adaptation for Large Language Models Data parameters: A new family of parameters for learning a differentiable curriculum

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:47.221430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T00:46:46.248728Z digest=sha256:c722d0de194e6b65fa930285b300a0fb596decf4a7b074c6e08c2bb0b9b1373b

Observation 93a67856-9abf-49ce-b3df-152749c6b049 · outbound

This paper cites WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain.

Dynamic Skill Adaptation for Large Language Models WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:46.253738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:46:46.253738Z digest=sha256:bb5a244012e77b46d276825934cd769f1d6c6bc70d35feb32ecedf21bcafce35

Observation e73ab81d-5f46-44d5-8d0d-a441a0f345b6 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Dynamic Skill Adaptation for Large Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:46.258927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:46:46.258927Z digest=sha256:c4cd4be418565221e48f2e5905008fcccd496272a9e35c07046cc2c5233d71c4

Observation 3678a58b-30f5-4886-8e98-6f30bcd75712 · outbound

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

Dynamic Skill Adaptation for Large Language Models Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:46.264009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:46:46.264009Z digest=sha256:fd6e543876505462d174ec85741f7e7a11b5f2135d504e438c2aea9937b8371f

Observation 21635ba6-6607-4270-a4fb-b22ea6809fee · outbound

This paper cites Curriculum learning: A survey.

Dynamic Skill Adaptation for Large Language Models Curriculum learning: A survey

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:47.204021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T00:46:46.269141Z digest=sha256:6794a005a688e37b223cdc0de5de211cac173cde2e4d00abf2721300e2eab0ad

Observation e6443482-547f-4b48-8e00-80f2c18ccc23 · outbound

This paper cites Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics.

Dynamic Skill Adaptation for Large Language Models Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:46.274760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:46:46.274760Z digest=sha256:2fe31bf054193de74a830191a7f3ae83f68985c95b43d241235681318f97d08a

Observation 604bf68c-ce34-4a14-98d4-5241734a0f54 · outbound

This paper cites OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset.

Dynamic Skill Adaptation for Large Language Models OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:46.280584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:46:46.280584Z digest=sha256:3c06fe1ba4fa65201a7f91a5b6c378f770f541edfccd2a8c3a5ac5a7ffe04f8d

Observation 797ecf39-6523-483b-95c6-380fbba89c24 · outbound

This paper cites Llama 2: Open foundation and fine-tuned chat models, 2023.

Dynamic Skill Adaptation for Large Language Models Llama 2: Open foundation and fine-tuned chat models, 2023

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:46.285999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:46:46.285999Z digest=sha256:bd2a0ccc6e83a65e3b4795358395519d4d209453dc61ace7d27805fdbd90b49b

Observation 1f89160d-1995-4dee-88d3-45f1ebe110bc · outbound

This paper cites A survey on curriculum learning.

Dynamic Skill Adaptation for Large Language Models A survey on curriculum learning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:46.290877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:46:46.290877Z digest=sha256:28987978915b4ca6b7a39d52f34665cbc91ed0433dfcefac8f49f8ab8a88713c

Observation 32ca8762-1c5b-41cb-a010-db7cf5faaf00 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Dynamic Skill Adaptation for Large Language Models Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:46.295759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:46:46.295759Z digest=sha256:7dbfba06904976ed43d872a08c438002efdd193c9dda06bca137d2df8ef2af34

Observation 5c89650b-33bd-4992-a534-de617d6b196d · outbound

This paper cites MathPile: A Billion-Token-Scale Pretraining Corpus for Math.

Dynamic Skill Adaptation for Large Language Models MathPile: A Billion-Token-Scale Pretraining Corpus for Math

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:46.300740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:46:46.300740Z digest=sha256:a53a6bfbf521ca7c2284b27e2fd7706e09064617abd9565a186b8caae75a1ca3

Observation be635ff1-4e9b-43d4-9723-9a03a5f20dda · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Dynamic Skill Adaptation for Large Language Models Finetuned Language Models Are Zero-Shot Learners

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:46.306168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:46:46.306168Z digest=sha256:396abc1ca4b4cac4e6cb36e01703970b37f7e1ff95d9fde043c281fc8d08d6de

Observation 9b19a6e1-7d69-4b94-9d0b-86012d80e4b4 · outbound

This paper cites Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus.

Dynamic Skill Adaptation for Large Language Models Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:46.311533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:46:46.311533Z digest=sha256:65bf7726463e6bfcc9c93047e733a397a4951b6e5b9117dc8b4cfd7e96f1c2c0

Observation 26197f46-7b2d-4bbf-886c-78b577cacc6c · outbound

This paper cites The teaching of learning strategies.

Dynamic Skill Adaptation for Large Language Models The teaching of learning strategies

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:47.154734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T00:46:46.316468Z digest=sha256:cff73ba19d8d495d36f643bed808a47283ae9a732035a5c8d3cbbfdb5c7125aa

Observation afbf1221-ab6b-4870-aec9-fc5466609c4d · outbound

This paper cites Doremi: Optimizing data mixtures speeds up language model pretraining.

Dynamic Skill Adaptation for Large Language Models Doremi: Optimizing data mixtures speeds up language model pretraining

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:47.137435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T00:46:46.322606Z digest=sha256:544d19368b9a1c8452180ef1ba50ddad9a3c5a5449f020e07d5931217fc97bae

Observation 03c6ed72-688a-41dd-84a7-7d906f89cd53 · outbound

This paper cites Curriculum learning for natural language understanding.

Dynamic Skill Adaptation for Large Language Models Curriculum learning for natural language understanding

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:47.120678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T00:46:46.327522Z digest=sha256:5473c269d661b950733f9abdd4dd704e946df6882a6574aebeff5dc2a7521dd4

Observation df515926-5dd3-47e9-8dfc-95aa7e7fd653 · outbound

This paper cites WizardLM: Empowering large pre-trained language models to follow complex instructions.

Dynamic Skill Adaptation for Large Language Models WizardLM: Empowering large pre-trained language models to follow complex instructions

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:46.332411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:46:46.332411Z digest=sha256:63ffa6fcd3ed7319be4d765dc605232b55eb897058f3760a0a8f5f281b54f73d

Observation 7c713f6c-ecf1-4d67-ae2c-f9a8d7d15852 · outbound

This paper cites MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning.

Dynamic Skill Adaptation for Large Language Models MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:46.337753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:46:46.337753Z digest=sha256:03fc929f084aec69e6c2d7449fb50e6f72fbb00c2ac4672a2ce09f6cdcccc293

Observation c9a55490-a49a-4bef-95f3-e7797aed594e · outbound

This paper cites DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks.

Dynamic Skill Adaptation for Large Language Models DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:46.343201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:46:46.343201Z digest=sha256:0d591ddb22925a64c2d368f6b3f0e91139a9223293a43085b4c64f21b3427fd7

Observation 10a12106-44f3-4c71-afdd-85adf1e9c99e · outbound

This paper cites Can large language models transform computational social science? Computational Linguistics, pp.\ 1--55, 2024.

Dynamic Skill Adaptation for Large Language Models Can large language models transform computational social science? Computational Linguistics, pp.\ 1--55, 2024

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:47.103543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T00:46:46.348404Z digest=sha256:875027168984dfddcd9370e183b3de3f4692092ad5980f53f467821b2710828c

Observation cf547ea8-6482-4a18-81a7-246d93a7d192 · outbound

This paper cites @esa (Ref.

Dynamic Skill Adaptation for Large Language Models @esa (Ref

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:46.353383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:46:46.353383Z digest=sha256:b3caf014a3c24fdd5ee19aa3dcd5d37aad702c3103d41137220d7ff003e0047a

Observation 1601aebf-1e18-4f47-970a-a63703a735b4 · outbound

This paper cites an unresolved cited work.

Dynamic Skill Adaptation for Large Language Models Unresolved cited work

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:46.359666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:46:46.359666Z digest=sha256:44c27c943ee606e17452afc9279004cf39238bc9fe3e4628913e76b1f0d0c19b

Observation 0c3e4b5d-8868-4fd2-b0ad-463e9cc67d92 · outbound

This paper cites q>D)o6-_ Ű -1 R!UR& e6q1,PRp ^< 5T!v B NA 5 A,g7ʹaM 'c.

Dynamic Skill Adaptation for Large Language Models q>D)o6-_ Ű -1 R!UR& e6q1,PRp ^< 5T!v B NA 5 A,g7ʹaM 'c

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:47.063785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T00:46:46.364957Z digest=sha256:c7702659f00ab1e76e289d5972a531b0a9cdd2b48e37fb7722dcf61948be9673

Pith citing papers

No inbound Pith citation observations are available.