Paper Citation Record · LEDGER

VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2406.08394.

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

pith.paper-citation-record.v1
2406.08394 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:06:36.667965Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:48:03.080928Z

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 c2d4b389-214a-44b0-8bcd-325deeaa4856 · inbound

EMMA: End-to-End Multimodal Model for Autonomous Driving cites this paper.

EMMA: End-to-End Multimodal Model for Autonomous Driving VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks

Reference 196

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:08:54.481513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d5166116-14a6-4c38-b05d-f5764bbb5c74 · inbound

InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling cites this paper.

InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-17T02:52:20.796481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 65a650b0-96d6-417c-aeb3-4f6ac7e412d7 · inbound

TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types cites this paper.

TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T20:06:36.667965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eff2ee90-61f0-4ad2-88af-dc5d121c97ec · inbound

Synthetic Visual Genome cites this paper.

Synthetic Visual Genome VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:56.427639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 395da69c-2c56-49e8-bf51-6110e7352f7f · inbound

Vision Generalist Model: A Survey cites this paper.

Vision Generalist Model: A Survey VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks

Reference 182

Resolution: unresolved; no resolver link, observed 2026-08-07T04:44:03.000950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf746aaa-b2a3-428e-94c4-d7883a7ee9c8 · inbound

UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding cites this paper.

UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:23.743835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8036437-e011-48ec-9078-abfa965eb13e · inbound

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance cites this paper.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:02.926461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d43a7054-ee52-4ca0-8c0d-5cc729736004 · inbound

KptLLM++: Towards Generic Keypoint Comprehension with Large Language Model cites this paper.

KptLLM++: Towards Generic Keypoint Comprehension with Large Language Model VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T17:22:13.366819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3964afb-e158-4a4a-aa01-3eb146b337d8 · inbound

HRSeg: High-Resolution Visual Perception and Enhancement for Reasoning Segmentation cites this paper.

HRSeg: High-Resolution Visual Perception and Enhancement for Reasoning Segmentation VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T16:43:54.904999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3de9bd74-2cfd-4ca6-9297-c43e1d710c2e · inbound

STORM: End-to-End Referring Multi-Object Tracking in Videos cites this paper.

STORM: End-to-End Referring Multi-Object Tracking in Videos VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:56:00.514788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8eb46f7e-5f49-4aef-9311-4c5ae542773f · inbound

Segmentation, Detection and Explanation: A Unified Framework for CT Appearance Reasoning cites this paper.

Segmentation, Detection and Explanation: A Unified Framework for CT Appearance Reasoning VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:23:37.692557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d5b68e07-a65a-41c0-aa12-e8d670aae0ec · inbound

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning cites this paper.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks

Reference 108

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:48:03.082361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.