Paper Citation Record · LEDGER

SVIT: Scaling up Visual Instruction Tuning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2307.04087.

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

pith.paper-citation-record.v1
2307.04087 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 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 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:32:42.920231Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:07:03.935337Z

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 d649401e-77da-4d9e-89be-f84674c165fd · inbound

Otter: A Multi-Modal Model with In-Context Instruction Tuning cites this paper.

Otter: A Multi-Modal Model with In-Context Instruction Tuning SVIT: Scaling up Visual Instruction Tuning

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:43:47.918523Z

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 536d51be-36d6-4cb8-99dd-54a5b20de514 · inbound

MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets cites this paper.

MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets SVIT: Scaling up Visual Instruction Tuning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-24T08:14:10.262530Z

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 10ba115d-d398-4bb6-99ff-8555551e5cff · inbound

Improved Baselines with Visual Instruction Tuning cites this paper.

Improved Baselines with Visual Instruction Tuning SVIT: Scaling up Visual Instruction Tuning

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-12T19:11:33.990145Z

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 8a1aeacf-975c-4c5d-9467-ad30e2b5fedc · inbound

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration cites this paper.

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration SVIT: Scaling up Visual Instruction Tuning

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:18:51.793866Z

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 d5bd206d-b5b7-4509-850d-b019a7a13b6b · inbound

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI cites this paper.

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI SVIT: Scaling up Visual Instruction Tuning

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:37:41.761969Z

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 819c52b1-606b-467a-9204-110350fc9fd3 · inbound

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks cites this paper.

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks SVIT: Scaling up Visual Instruction Tuning

Reference 184

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:46:10.262028Z

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 60743011-f516-4957-8578-263f3ccdb2dc · inbound

MobileVLM V2: Faster and Stronger Baseline for Vision Language Model cites this paper.

MobileVLM V2: Faster and Stronger Baseline for Vision Language Model SVIT: Scaling up Visual Instruction Tuning

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:27:52.136023Z

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 bb44d84a-7d91-45f8-a19d-299aaddecf62 · inbound

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training cites this paper.

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training SVIT: Scaling up Visual Instruction Tuning

Reference 132

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T04:09:36.413562Z

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 23f91ff9-793f-4653-aeb7-d5669ae8fd77 · inbound

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites cites this paper.

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites SVIT: Scaling up Visual Instruction Tuning

Reference 140

Resolution: verified exact; arxiv_id, observed 2026-05-12T20:58:59.314247Z

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 9a92866f-6f73-46a2-8710-fe58ee55fee2 · inbound

MiniCPM-V: A GPT-4V Level MLLM on Your Phone cites this paper.

MiniCPM-V: A GPT-4V Level MLLM on Your Phone SVIT: Scaling up Visual Instruction Tuning

Reference 119

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:07:32.159977Z

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 d1a283ce-0177-4dc8-a8da-bf383082fd9a · inbound

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models cites this paper.

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models SVIT: Scaling up Visual Instruction Tuning

Reference 62

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T06:20:36.368777Z

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 18ffe440-31d2-4533-a0b3-3d5af3f2de93 · inbound

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark cites this paper.

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark SVIT: Scaling up Visual Instruction Tuning

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-14T00:51:48.483233Z

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 9176bb75-69a3-44f5-b177-b97c2950872f · inbound

NVILA: Efficient Frontier Visual Language Models cites this paper.

NVILA: Efficient Frontier Visual Language Models SVIT: Scaling up Visual Instruction Tuning

Reference 132

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:42:42.968159Z

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 2c31d624-3712-4f64-bc7c-72ca9ff80519 · inbound

DeepSeek on a Trip: Inducing Targeted Visual Hallucinations via Representation Vulnerabilities cites this paper.

DeepSeek on a Trip: Inducing Targeted Visual Hallucinations via Representation Vulnerabilities SVIT: Scaling up Visual Instruction Tuning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-08T11:32:42.920231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13722c96-2eb2-41b1-a5c3-905c9dec1085 · inbound

Slot-MLLM: Object-Centric Visual Tokenization for Multimodal LLM cites this paper.

Slot-MLLM: Object-Centric Visual Tokenization for Multimodal LLM SVIT: Scaling up Visual Instruction Tuning

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-22T02:10:56.208834Z

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 05c6122e-8d8d-44a8-bd5b-e427e1374c22 · inbound

Instructify: Demystifying Metadata to Visual Instruction Tuning Data Conversion cites this paper.

Instructify: Demystifying Metadata to Visual Instruction Tuning Data Conversion SVIT: Scaling up Visual Instruction Tuning

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T14:37:54.331667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f62fce6-9aa9-49d0-be01-6a51329e294c · inbound

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models cites this paper.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models SVIT: Scaling up Visual Instruction Tuning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:34.070554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3be2cd5-5769-47ea-b6ce-7c20742fe64a · inbound

SMAR: Soft Modality-Aware Routing Strategy for MoE-based Multimodal Large Language Models Preserving Language Capabilities cites this paper.

SMAR: Soft Modality-Aware Routing Strategy for MoE-based Multimodal Large Language Models Preserving Language Capabilities SVIT: Scaling up Visual Instruction Tuning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T06:07:18.746047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d86c7702-3db9-44f1-ab53-65377a19e076 · inbound

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models cites this paper.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models SVIT: Scaling up Visual Instruction Tuning

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-06T16:50:05.494156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c04e7633-c62d-43a3-ba52-725bb69e0a6d · inbound

GLAD: Generalizable Tuning for Vision-Language Models cites this paper.

GLAD: Generalizable Tuning for Vision-Language Models SVIT: Scaling up Visual Instruction Tuning

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T16:37:23.687949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d3013a8-c5cd-43e0-bdfe-d4519226568b · inbound

Beyond Emotion Recognition: A Multi-Turn Multimodal Emotion Understanding and Reasoning Benchmark cites this paper.

Beyond Emotion Recognition: A Multi-Turn Multimodal Emotion Understanding and Reasoning Benchmark SVIT: Scaling up Visual Instruction Tuning

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T17:13:08.100077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdb9d7e0-39e1-48e3-879a-fda3f07ec52d · inbound

Improving Large Vision and Language Models by Learning from a Panel of Peers cites this paper.

Improving Large Vision and Language Models by Learning from a Panel of Peers SVIT: Scaling up Visual Instruction Tuning

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-05T12:27:27.703738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc141185-86d2-427e-8b9e-36bf929837b3 · inbound

Representation learning from OCT images cites this paper.

Representation learning from OCT images SVIT: Scaling up Visual Instruction Tuning

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:20:43.123677Z

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 a0308b5f-a2a2-417c-b789-1feb6cd8f6f3 · inbound

Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models cites this paper.

Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models SVIT: Scaling up Visual Instruction Tuning

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:41:30.831974Z

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 f63dd66d-a399-45fe-96fa-9ec78afd9d6b · inbound

Reducing Object Hallucination in LVLMs via Emphasizing Image-negative Tokens cites this paper.

Reducing Object Hallucination in LVLMs via Emphasizing Image-negative Tokens SVIT: Scaling up Visual Instruction Tuning

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:09:38.498516Z

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 9d25ec62-a039-4f2b-8215-c6e822ac182c · inbound

Balancing Image Compression and Generation with Bootstrapped Tokenization cites this paper.

Balancing Image Compression and Generation with Bootstrapped Tokenization SVIT: Scaling up Visual Instruction Tuning

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:46:55.411770Z

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 db848888-a092-4d1f-9fa6-ed77bb9ad570 · inbound

StochasT: Learning with Stochastic Turn Depth for Visual Instruction Tuning cites this paper.

StochasT: Learning with Stochastic Turn Depth for Visual Instruction Tuning SVIT: Scaling up Visual Instruction Tuning

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:07:03.936899Z

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 fe6631cc-985d-41ee-a96b-da517e43bb84 · inbound

StepX-Edge: An On-Device UI Vision-Language Model via Architecture-Training-Deployment Co-Design cites this paper.

StepX-Edge: An On-Device UI Vision-Language Model via Architecture-Training-Deployment Co-Design SVIT: Scaling up Visual Instruction Tuning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-01T16:31:11.447932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.