Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 23 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 54 of 54 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 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:49:40.805771Z

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 2026-08-20T06:33:59.587034+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

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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

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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 2026-08-20T06:33:59.587034+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

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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

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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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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

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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

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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

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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 2026-08-20T06:33:59.587034+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 58c7a456-2ed8-40bd-ac9f-5cb692d3d4a8 · inbound

Scale or Reason? A Compute-Equivalent Analysis of Reasoning Distillation cites this paper.

Scale or Reason? A Compute-Equivalent Analysis of Reasoning Distillation Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T15:49:40.805771Z

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 2026-08-20T06:33:59.587034+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

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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 2026-08-20T06:33:59.587034+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

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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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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

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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

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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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