Paper Citation Record · LEDGER

Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2410.18558.

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

pith.paper-citation-record.v1
2410.18558 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T02:46:49.649902Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:44.997303Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5fae675e-72b8-49f3-8c13-71fc57915129 · inbound

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling cites this paper.

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:23:58.280731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8ef304d7-de66-4712-b7b1-e647386d48be · inbound

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos cites this paper.

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-16T11:39:22.490274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 62830ee8-01c9-4fcd-a88b-38ec23fbcc33 · inbound

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models cites this paper.

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:41:08.311987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 24a1d6e9-b071-4b2f-8f28-822816425e6a · inbound

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency cites this paper.

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:58:59.104407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 933d34f6-4ffb-4fd8-ae93-ffb88ebe1745 · inbound

Emu3.5: Native Multimodal Models are World Learners cites this paper.

Emu3.5: Native Multimodal Models are World Learners Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:12:13.653172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 26c0b9b7-d9d2-4ae6-ac04-737f0737d4fe · inbound

AutoNeural: Co-Designing Vision-Language Models for NPU Inference cites this paper.

AutoNeural: Co-Designing Vision-Language Models for NPU Inference Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T18:57:01.402053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae888698-4138-4df4-bfa0-ca4c4b4bc9d8 · 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-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T04:20:52.540683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ede44cd1-57c2-4562-a8c1-97466c5d50cc · inbound

Kwai Keye-VL-2.0 Technical Report cites this paper.

Kwai Keye-VL-2.0 Technical Report Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T04:27:37.038777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cc87095f-161e-4e89-99d4-b1481cb90e30 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data

Reference 261

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:59:44.998736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 75d95d23-8d3b-47aa-9446-f0d82ee2c2ee · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data

Reference 260

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T18:55:59.576681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0f101feb-80fc-4c41-b4f0-0be78a664ba1 · inbound

Bridging Video Understanding and Generation in a Unified Framework cites this paper.

Bridging Video Understanding and Generation in a Unified Framework Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:05:40.337986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 57187ae8-b034-49f7-b94c-ce96b817a597 · inbound

LookME: Lookup-Based Multimodal Embeddings for Layer Injection in Vision-Language Models cites this paper.

LookME: Lookup-Based Multimodal Embeddings for Layer Injection in Vision-Language Models Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:14.485161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f29ceba-d232-424b-8231-d13a2bacb445 · inbound

What Transfers from Text to Vision? Capability Scaling Laws and Transfer Dynamics for VLMs cites this paper.

What Transfers from Text to Vision? Capability Scaling Laws and Transfer Dynamics for VLMs Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T02:46:49.649902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.