Paper Citation Record · LEDGER

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models

As of 9 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2507.11882.

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

pith.paper-citation-record.v1
2507.11882 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:04:23.614168Z

measured 16 of 16 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 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

16 of 16 outbound references displayed

verified exact0
verified fuzzy1
unresolved14
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 737f0805-d5c2-4ed2-8d92-8b9635e0e4c6 · outbound

This paper cites The Llama 3 Herd of Models.

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models The Llama 3 Herd of Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:22.534972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3451686-b692-40a5-910a-f735c3fde375 · outbound

This paper cites Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following.

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:22.608924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d80c4c1-0563-40d4-b92b-ad5ac5a7aed7 · outbound

This paper cites GPT-4o System Card.

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models GPT-4o System Card

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:22.693088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d75d0175-7c6f-4b5d-a9c4-faf767c79abe · outbound

This paper cites Mistral 7B.

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models Mistral 7B

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:22.807709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24061346-08ed-4f90-a8ac-f9faf29edd60 · outbound

This paper cites On the Cultural Gap in Text-to-Image Generation.

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models On the Cultural Gap in Text-to-Image Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:22.886638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d277ac4-a100-4e2e-8965-34910397a92f · outbound

This paper cites BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages.

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:22.957555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acb81b84-5a4c-42b4-97e4-5a4967b88894 · outbound

This paper cites GPT-4 Technical Report.

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models GPT-4 Technical Report

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:23.064748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 175b67bb-690d-458b-ad3e-bc16960eb334 · outbound

This paper cites CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark.

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:23.217835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8692f5df-0521-4066-8423-260a5d7f31c8 · outbound

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

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models Gemini: A Family of Highly Capable Multimodal Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:23.305905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65c7dee6-b95e-4438-ad3e-d214d214df4c · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:23.460767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f0462d7-9830-4c89-9ef5-95fef776a1ec · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models Instruction-Following Evaluation for Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:23.530814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0b4e0cf-1aed-432b-981c-743212c075b7 · outbound

This paper cites Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model.

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model

Reference 16

Resolution: malformed identifier; no resolver link, observed 2026-08-06T17:04:23.614168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23a99cf3-526d-4331-a527-dc509706c43e · outbound

This paper cites In Ad- vances in Neural Information Processing Systems , volume 33, pages 1877–1901.

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models In Ad- vances in Neural Information Processing Systems , volume 33, pages 1877–1901

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:23.942547Z

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 632f0028-8f4c-403e-b1a5-635317536450 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:22.290401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3af707f-9044-46bc-83af-a6876ca35b78 · outbound

This paper cites CulturalBench: A Robust, Diverse, and Challenging Cultural Benchmark by Human-AI CulturalTeaming.

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models CulturalBench: A Robust, Diverse, and Challenging Cultural Benchmark by Human-AI CulturalTeaming

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:22.448754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8bd5eab-9725-4784-a4ec-45f03f0ebb4a · outbound

This paper cites Qwen2.5 Technical Report.

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models Qwen2.5 Technical Report

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:23.150265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.