Paper Citation Record · LEDGER

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs

As of 21 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 1 inbound Pith citation observation for arXiv:2411.11266.

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

pith.paper-citation-record.v1
2411.11266 v5

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:51:32.098357Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:00:31.489767Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:00:34.048977Z

Reference resolution

70 of 70 outbound references displayed

verified exact1
verified fuzzy1
unresolved68
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bd819cda-105b-4f6e-a467-f1226c41c40b · outbound

This paper cites GPT-4 Technical Report.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.600984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66e539f8-e050-4dfd-a346-93b238b12de6 · outbound

This paper cites A Survey on Data Selection for Language Models.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs A Survey on Data Selection for Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.608106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2adb10e4-df51-42b0-be2d-6c848ef79494 · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:51:33.759152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f4666535-99b4-407c-adfa-d15ec3f23a44 · outbound

This paper cites Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.625209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f841abd-3143-4ba3-9f81-cc7f1de760fd · outbound

This paper cites Program Synthesis with Large Language Models.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Program Synthesis with Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.635858Z

Source-reported events for the cited work

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Observation 253463bb-d851-488d-ac8a-6c4997d6185d · outbound

This paper cites Llemma: An Open Language Model For Mathematics.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Llemma: An Open Language Model For Mathematics

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.646373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 088586a5-4b62-44ae-956a-ce06b3a6715e · outbound

This paper cites Qwen Technical Report.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Qwen Technical Report

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.656209Z

Source-reported events for the cited work

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Observation 86a18418-fb82-412c-ac11-5c5dd432d218 · outbound

This paper cites SciBERT: A Pretrained Language Model for Scientific Text.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs SciBERT: A Pretrained Language Model for Scientific Text

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.663773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14148b0f-0f4c-4a42-a09f-67984d8e255b · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.671059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfab9d93-f48b-41a1-ab8d-905716db9558 · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:51:33.712427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 086cb86e-d891-4695-9133-0741539e2e38 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Evaluating Large Language Models Trained on Code

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.684656Z

Source-reported events for the cited work

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Observation 97c24247-648e-4eab-a0d0-4242ced453fb · outbound

This paper cites Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.691714Z

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Observation a07b13f6-3424-4d33-8009-2dca0cd4c23c · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.697495Z

Source-reported events for the cited work

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Observation 7f7d6132-d783-4f19-8d39-e7e1c8df4fc3 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.703630Z

Source-reported events for the cited work

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Observation b9538de6-0a1b-414b-91b7-4cbf4b143c81 · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.709808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c3f702f-8878-4895-9d94-ee37ac92c679 · outbound

This paper cites How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.715808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f25e9d2-72b5-486f-8f7b-89c5f060048e · outbound

This paper cites The Llama 3 Herd of Models.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs The Llama 3 Herd of Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.721701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcc45ee9-9b5b-4d72-b15b-5613168cdd2a · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:51:33.662577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 33c63d39-ccb8-4aa1-b181-eb86a6eb7e20 · outbound

This paper cites DoGE: Domain Reweighting with Generalization Estimation.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs DoGE: Domain Reweighting with Generalization Estimation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.735699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7441a82-5522-403c-bc12-85365300c0d6 · outbound

This paper cites LawBench: Benchmarking Legal Knowledge of Large Language Models.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs LawBench: Benchmarking Legal Knowledge of Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.741455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c00d3641-0e0e-4fbb-9cc9-07366f6a8ec5 · outbound

This paper cites Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.746912Z

Source-reported events for the cited work

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Observation de8d1c57-4b74-4ba1-ba86-e69e8a8bf280 · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.752276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbace07d-c268-44ca-8942-4164bdf7ec8f · outbound

This paper cites Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data?.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data?

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.759038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 636f10e2-c638-484d-b65a-022bbc0ed71f · outbound

This paper cites Measuring Massive Multitask Language Understanding.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Measuring Massive Multitask Language Understanding

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.766428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c82a31c-5dca-46f1-a78a-a1638dc216d4 · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.778471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3652586c-44c9-4d4d-88f6-54f706de163e · outbound

This paper cites GPT-4o System Card.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs GPT-4o System Card

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.785813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06855ddf-ec89-4283-b024-6d8b02d5f232 · outbound

This paper cites What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.792011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef2049a0-4d53-42d0-9fe8-c6a100ae44a3 · outbound

This paper cites Language Models (Mostly) Know What They Know.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Language Models (Mostly) Know What They Know

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.799741Z

Source-reported events for the cited work

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Observation dc182685-f217-49c0-923b-cac8bfe1bd4b · outbound

This paper cites Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.806784Z

Source-reported events for the cited work

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Observation 6f253472-b4f3-4aae-952a-edb82b1fa35d · outbound

This paper cites Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.815441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bded5c70-439f-4371-b820-00fa88ed94ee · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.822691Z

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Observation 70d30b1f-f86c-45b8-a222-890b287ecd78 · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:51:33.598093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d6370541-6ffd-4732-bf63-181051e727d0 · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.838194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46282825-feb2-4081-8fd5-c4cddec069c2 · outbound

This paper cites DeepSeek-V3 Technical Report.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs DeepSeek-V3 Technical Report

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.843700Z

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Observation d9ce1c14-a018-4843-87ce-495786a71edd · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.848822Z

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Observation b4be350c-8f36-4a3d-97e8-c41bd4197ff8 · outbound

This paper cites SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.854028Z

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Observation 54013563-3b1a-442c-9066-e47e5b14754f · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.858893Z

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Observation 7cfbec12-0c56-420a-82b9-0a475dea090f · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:51:33.522358Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 649013ea-c70d-4906-a563-326cf5712d91 · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.875092Z

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Observation 6471e017-3a83-4f37-b7b9-48fbcab358cf · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.880205Z

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Observation f472b5d4-1999-451a-9040-d657bf852cc5 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Code Llama: Open Foundation Models for Code

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.885985Z

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Observation c8cd4085-8ce0-4ebe-84de-aa7d092e30d1 · outbound

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

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.892451Z

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Observation 219bc52d-a49d-4343-8fcc-c02e5dc2ac96 · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 43

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Observation 5257fc2b-95f2-4ff4-80ed-208fa23fcb28 · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:51:33.457751Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 77dc1435-7aaf-4600-b4f2-bd70f16c3f60 · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 45

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Observation 2b44a643-45e2-499f-b807-1f0c302293c2 · outbound

This paper cites Galactica: A Large Language Model for Science.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Galactica: A Large Language Model for Science

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.913792Z

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Observation 35d1db4d-46e5-41d3-8894-163a707afe1b · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Gemini: A Family of Highly Capable Multimodal Models

Reference 47

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Observation 511daa67-239d-4a84-9a98-8a7f43fafb5b · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 48

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VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs LLaMA: Open and Efficient Foundation Language Models

Reference 49

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Observation e0c356fe-de23-48bd-b2a9-550de82a0bfc · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.939064Z

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Observation 416aedf5-fa2f-4434-82df-92c346517dbd · outbound

This paper cites Smith, Daniel Khashabi, and Hannaneh Hajishirzi.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Smith, Daniel Khashabi, and Hannaneh Hajishirzi

Reference 51

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Observation 135f5adc-86ac-4866-8efd-2441402ee07f · outbound

This paper cites Data Management For Training Large Language Models: A Survey.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Data Management For Training Large Language Models: A Survey

Reference 52

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Observation 9fb7865a-73ea-40e3-b8fe-1d4189a722b4 · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:51:33.394790Z

Source-reported events for the cited work

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Observation 1f38d0bf-4bd2-4854-aedc-89838b7ef7f3 · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs BloombergGPT: A Large Language Model for Finance

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.960577Z

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Observation 25bf0933-7ebc-465f-a7fb-dfe8cb9c3064 · outbound

This paper cites Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.965814Z

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Observation 7d27460d-a6fa-492c-b676-19855c405379 · outbound

This paper cites FinBen: A Holistic Financial Benchmark for Large Language Models.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs FinBen: A Holistic Financial Benchmark for Large Language Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.971345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6a1984a-f998-4f6a-9a6e-9093f9324d7c · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:51:33.378865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a0954c00-72ca-4b18-ab21-db6ea88ecfef · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:51:33.359781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation adf89d80-f987-4b37-9250-7348b7b5d3ad · outbound

This paper cites Qwen2 Technical Report.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Qwen2 Technical Report

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.988167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03a558a2-414a-4702-b09e-3a66c94093fe · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:51:33.341148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e64d8ed5-eba6-46f2-b676-cfb25cf79b0a · outbound

This paper cites HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:51:32.359478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation db8947d3-7676-4658-bfac-944f5d5855c6 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:32.008504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 343e5d56-76eb-4718-b144-589d398aebd5 · outbound

This paper cites SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:32.017260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87159dc8-6665-4f18-95bc-02f37debd5d9 · outbound

This paper cites FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:32.027610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a18309e-b64f-4b0b-a454-7f6a08a15c28 · outbound

This paper cites an unresolved cited work.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:51:33.320048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3a1dc180-dea3-43d4-9ece-9ec03af1eaa3 · outbound

This paper cites A Survey of Large Language Models.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs A Survey of Large Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:32.057748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9a6b5cd-770f-4267-9887-ec304e8f23cb · outbound

This paper cites Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:32.065837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 647feef1-e139-46ad-a26a-5c623538ab62 · outbound

This paper cites AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:32.072557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fa1892e-a29f-4298-8d19-669ed792b295 · outbound

This paper cites online" 'onlinestring :=.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs online" 'onlinestring :=

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:32.081037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af8b5b03-435b-4a10-a539-ed85f990b9af · outbound

This paper cites write newline.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs write newline

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:32.098357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 8057caba-38b6-4025-b1b0-9f71da005ca1 · inbound

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation cites this paper.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:00:34.140189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.