Paper Citation Record · LEDGER

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 22 inbound Pith citation observations for arXiv:2506.11116.

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

pith.paper-citation-record.v1
2506.11116 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:39:26.055463Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:29:02.244807Z

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

31 of 31 outbound references displayed

verified exact0
verified fuzzy6
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation ef3d95a1-5b63-4f35-81a4-6c5cf222ec18 · outbound

This paper cites Program Synthesis with Large Language Models.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Program Synthesis with Large Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:22.795693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e9c564a-149f-431e-ac46-4442fdf47bd9 · outbound

This paper cites Curriculum learning.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Curriculum learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:27.761133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bb322bfa-61f1-4713-a0db-ce1db4030139 · outbound

This paper cites Language Models are Few-Shot Learners.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Language Models are Few-Shot Learners

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:22.988162Z

Source-reported events for the cited work

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Observation c7baf1d3-098f-4917-b5b0-5970cf2c2f27 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Evaluating Large Language Models Trained on Code

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:23.126203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ced94e75-bf7e-4e13-9e0c-ede59ff93ce3 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Training Verifiers to Solve Math Word Problems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:23.265005Z

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Observation 1473f469-28fa-431a-a2dc-620067e1b0a0 · outbound

This paper cites Opencompass: A universal evaluation platform for foundation models.https://github.com/open-compass/opencompass, 2023.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Opencompass: A universal evaluation platform for foundation models.https://github.com/open-compass/opencompass, 2023

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:23.360700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcf53f97-ff42-47af-a7a8-1ce68082a20d · outbound

This paper cites Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:23.494990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4848f4c-3779-4be3-8b74-d37aa1eae794 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Measuring Massive Multitask Language Understanding

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:23.602680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 796ddd0b-8f4b-4884-87c3-8db186ee70e9 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Measuring Mathematical Problem Solving With the MATH Dataset

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:23.702553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1e3b149-3f07-4b73-958b-af03d8cbc4e7 · outbound

This paper cites C-eval: A multi-level multi-discipline chinese evaluation suite for foundation models.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models C-eval: A multi-level multi-discipline chinese evaluation suite for foundation models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:27.540799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f461a272-eee8-4f66-b90f-edd17cfd895f · outbound

This paper cites From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:23.921553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61ed1dd4-0b42-49f7-886e-c598770d35fd · outbound

This paper cites Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:24.049508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97b47dee-eaea-4c81-bbe5-2fccea7d2334 · outbound

This paper cites From live data to high-quality benchmarks: The arena-hard pipeline, April 2024.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models From live data to high-quality benchmarks: The arena-hard pipeline, April 2024

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:27.292488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eebbacf2-668d-41eb-a02d-f5fe84e3da0d · outbound

This paper cites Hashimoto.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Hashimoto

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:24.284120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52631b08-b61a-41c0-942e-8ea85a51b27f · outbound

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

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:24.417175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 254621f8-c648-47b8-99c1-2164a84dc063 · outbound

This paper cites # instag: Instruction tagging for analyzing supervised fine-tuning of large language models.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models # instag: Instruction tagging for analyzing supervised fine-tuning of large language models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:27.041138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fdd93b74-9d27-4b48-bf22-14f544e61d70 · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:24.607314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76c211bc-1cc3-494d-bfa1-3992e62526ec · outbound

This paper cites Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:24.741541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7649b60-47a3-4cba-a730-01495d27608a · outbound

This paper cites Openhermes 2.5: An open dataset of synthetic data for generalist llm assistants, 2023.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Openhermes 2.5: An open dataset of synthetic data for generalist llm assistants, 2023

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:24.865241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdcbabb7-3bd0-4527-8e4b-8d66c4f956a4 · outbound

This paper cites C-pack: Packaged resources to advance general chinese embedding, 2023.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models C-pack: Packaged resources to advance general chinese embedding, 2023

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:24.969899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 082e644a-4f5f-4687-a658-a24fa5145955 · outbound

This paper cites Data Selection for Language Models via Importance Resampling.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Data Selection for Language Models via Importance Resampling

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:25.047316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1225648-b1a0-4a4e-be95-19bb2dc817e0 · outbound

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

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models WizardLM: Empowering large pre-trained language models to follow complex instructions

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:25.162136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 132b1685-bbcf-4449-8ece-5291faad6ef2 · outbound

This paper cites Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:25.280180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f874f959-5969-4575-9a1e-363211e065aa · outbound

This paper cites Qwen2 Technical Report.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Qwen2 Technical Report

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:25.371229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8693bf94-a9f9-45df-90ac-c51949688907 · outbound

This paper cites Aquila2 Technical Report.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Aquila2 Technical Report

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:25.457413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 663f0f76-4226-4a62-896a-799417722881 · outbound

This paper cites Infinitymath: A scalable instruction tuning dataset in programmatic mathematical reasoning.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Infinitymath: A scalable instruction tuning dataset in programmatic mathematical reasoning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:26.786499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fc048d33-e23c-49ce-b9b1-f9475310b2b2 · outbound

This paper cites MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:25.643844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94a3bdb8-a0b4-42a1-a015-bd61cef9f1f0 · outbound

This paper cites Beyond IID: Optimizing Instruction Learning from the Perspective of Instruction Interaction and Dependency.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Beyond IID: Optimizing Instruction Learning from the Perspective of Instruction Interaction and Dependency

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:25.752240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acf6d31a-dbfd-4f7a-bf69-bb87d11724ba · outbound

This paper cites WildChat: 1M ChatGPT Interaction Logs in the Wild.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models WildChat: 1M ChatGPT Interaction Logs in the Wild

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:25.844297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d96e5826-4772-48b5-95a4-8d2b15bac44e · outbound

This paper cites P Xing, Joseph E.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models P Xing, Joseph E

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:25.952656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 823a3157-62db-4e96-80a5-731be7354a85 · outbound

This paper cites Infinity Instruct.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Infinity Instruct

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:26.567918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation c317eade-a7e4-48ad-8654-5687149260d8 · inbound

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models cites this paper.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:02.244807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d5b03f9-4f9a-4982-b1cb-7af653cec251 · inbound

ShareChat: A Dataset of Chatbot Conversations in the Wild cites this paper.

ShareChat: A Dataset of Chatbot Conversations in the Wild Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-21T16:44:16.217034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ba830ca0-268e-4a71-b650-b91db742fa6e · inbound

LsrIF: Enhancing Logic-Structured Instruction Following of Large Language Models cites this paper.

LsrIF: Enhancing Logic-Structured Instruction Following of Large Language Models Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T11:27:53.504499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d2dfd73-df24-4083-aa5c-dcc34b52f500 · inbound

MAR: Efficient Large Language Models via Module-aware Architecture Refinement cites this paper.

MAR: Efficient Large Language Models via Module-aware Architecture Refinement Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:12:43.050066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 28e058cf-59cc-429f-a3e6-6b3e1948a423 · inbound

Magic-MM-Embedding: Towards Visual-Token-Efficient Universal Multimodal Embedding with MLLMs cites this paper.

Magic-MM-Embedding: Towards Visual-Token-Efficient Universal Multimodal Embedding with MLLMs Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T04:20:54.360576Z

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Unavailable: canonical work link unavailable.

Observation 52398fe9-b518-44f2-9e5f-f2366532578c · inbound

LK Losses: Direct Acceptance Rate Optimization for Speculative Decoding cites this paper.

LK Losses: Direct Acceptance Rate Optimization for Speculative Decoding Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-02T20:20:31.750720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7b5e06e-b98d-4ed7-bea9-61214acc9d85 · inbound

EdgeRazor: A Lightweight Framework for Large Language Models via Mixed-Precision Quantization-Aware Distillation cites this paper.

EdgeRazor: A Lightweight Framework for Large Language Models via Mixed-Precision Quantization-Aware Distillation Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:35:56.976144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c960889b-af23-4732-984f-ba40751322fe · inbound

EdgeRazor: A Lightweight Framework for Large Language Models via Mixed-Precision Quantization-Aware Distillation cites this paper.

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:11:23.366758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2dea65c4-c634-4de4-96b6-217202b5216a · inbound

VITA-QinYu: Expressive Spoken Language Model for Role-Playing and Singing cites this paper.

VITA-QinYu: Expressive Spoken Language Model for Role-Playing and Singing Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 111

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:50:56.036845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d94de9f5-1bb3-48b6-a598-396f7f389e1b · inbound

K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs cites this paper.

K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:56:31.451837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 523d9ceb-3b15-4d2c-84bf-1bbca1fb2db8 · inbound

K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs cites this paper.

K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T14:31:10.411410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dbe3302-ad9a-498f-98f2-0913806169ba · inbound

SlimSpec: Low-Rank Draft LM-Head for Accelerated Speculative Decoding cites this paper.

SlimSpec: Low-Rank Draft LM-Head for Accelerated Speculative Decoding Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:21:19.630771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8169c495-f132-4a28-98cf-92ac3b2c6839 · inbound

Language Generation as Optimal Control: Closed-Loop Diffusion in Latent Control Space cites this paper.

Language Generation as Optimal Control: Closed-Loop Diffusion in Latent Control Space Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:48:28.695746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3223c567-2bcb-479f-901c-b6b77cd6457b · inbound

Language Generation as Optimal Control: Closed-Loop Diffusion in Latent Control Space cites this paper.

Language Generation as Optimal Control: Closed-Loop Diffusion in Latent Control Space Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:32:39.568384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5cab1b93-db27-40d7-a969-c6e78f5362ae · inbound

Language Generation as Optimal Control: Closed-Loop Diffusion in Latent Control Space cites this paper.

Language Generation as Optimal Control: Closed-Loop Diffusion in Latent Control Space Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:35:46.501112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aee9d51d-6841-44da-89aa-c0aa7311f707 · inbound

From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and Elastic Horizons cites this paper.

From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and Elastic Horizons Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T22:50:05.965644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50d081cb-08f0-48e6-8b4a-8a41075b70f8 · inbound

mllm-shap: A Shapley Value Explainability Platform for Text-Audio Multimodal Large Language Models cites this paper.

mllm-shap: A Shapley Value Explainability Platform for Text-Audio Multimodal Large Language Models Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-07-05T08:40:50.515747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e65e714c-0146-4961-96a0-54992dd7302a · inbound

Enhancing Fitness Intelligence through Domain-Specific LLM Post-Training cites this paper.

Enhancing Fitness Intelligence through Domain-Specific LLM Post-Training Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:18:12.288522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a166d7e1-8ea9-4a93-b035-0d25475d890b · inbound

CARD: Cross-component Audio Representation Distillation for Encoder-Free Audio Captioning cites this paper.

CARD: Cross-component Audio Representation Distillation for Encoder-Free Audio Captioning Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-11T16:20:13.303809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63061890-88cd-4a2b-8c23-44ea5a9c7964 · inbound

Efficient Chain-of-Modality Reasoning via Progressive Compression for Spoken Language Models cites this paper.

Efficient Chain-of-Modality Reasoning via Progressive Compression for Spoken Language Models Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T11:20:17.807063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29130112-8ba6-494e-9325-3879df750380 · inbound

DataPrep-Bench: Benchmarking LLMs as Training Data Preparators cites this paper.

DataPrep-Bench: Benchmarking LLMs as Training Data Preparators Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T13:43:29.358479Z

Source-reported events for the cited work

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Adaptive Depth Sparse Framework: Similarity-Driven Resource Allocation for Pre-Trained LLMs cites this paper.

Adaptive Depth Sparse Framework: Similarity-Driven Resource Allocation for Pre-Trained LLMs Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

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