Paper Citation Record · LEDGER

DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2407.08303.

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

pith.paper-citation-record.v1
2407.08303 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:41:44.453339Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:17:29.025254Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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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 6f81342e-bd97-4abe-baba-5a01192baf65 · inbound

Emu3: Next-Token Prediction is All You Need cites this paper.

Emu3: Next-Token Prediction is All You Need DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:56:08.956957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a8f2966c-ba4d-41d2-9f6c-40cda4fe35e9 · inbound

Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation cites this paper.

Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-15T22:09:16.163144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b65a97ec-b51e-406b-b27d-24f6728f9732 · inbound

DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding cites this paper.

DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:09:24.036364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1c76186e-249a-4591-8610-c7f7bf3feff7 · inbound

VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding cites this paper.

VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:19:59.819018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 43b09f0f-cfdd-4c8f-9c43-1143b7357f62 · inbound

COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation cites this paper.

COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T11:41:44.453339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5b52559-e7e7-42ee-8c3b-0be5be797755 · inbound

EVEv2: Improved Baselines for Encoder-Free Vision-Language Models cites this paper.

EVEv2: Improved Baselines for Encoder-Free Vision-Language Models DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-08T14:25:55.743104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f93e43ac-949c-4386-9124-a7ab07fdf843 · inbound

Show-o2: Improved Native Unified Multimodal Models cites this paper.

Show-o2: Improved Native Unified Multimodal Models DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-12T18:51:15.991623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e3aa9530-bfdd-4844-9640-dd64e7f01dc9 · inbound

GenRecal: Generation after Recalibration from Large to Small Vision-Language Models cites this paper.

GenRecal: Generation after Recalibration from Large to Small Vision-Language Models DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T23:57:24.067810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea64e559-00bb-49fa-9315-8e5b1445afbb · inbound

OmniGen2: Towards Instruction-Aligned Multimodal Generation cites this paper.

OmniGen2: Towards Instruction-Aligned Multimodal Generation DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:52:10.872328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 75fc37fc-9c21-4d22-829f-a0592d761a66 · inbound

Efficient Deployment of Vision-Language Models on Mobile Devices: A Case Study on OnePlus 13R cites this paper.

Efficient Deployment of Vision-Language Models on Mobile Devices: A Case Study on OnePlus 13R DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:53.520305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 736aeb7c-7f49-471f-88a5-e1ac314cf19b · inbound

CapRL++: Unified Reinforcement Learning with Verifiable Rewards for Dense Image and Video Captioning cites this paper.

CapRL++: Unified Reinforcement Learning with Verifiable Rewards for Dense Image and Video Captioning DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:17:29.026830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.