Paper Citation Record · LEDGER

Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2410.16261.

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

pith.paper-citation-record.v1
2410.16261 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:22:52.465714Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:39:44.698268Z

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 c5ece020-f293-4eae-85a2-43dcce0cec50 · inbound

MMGenBench: Fully Automatically Evaluating LMMs from the Text-to-Image Generation Perspective cites this paper.

MMGenBench: Fully Automatically Evaluating LMMs from the Text-to-Image Generation Perspective Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T15:39:32.457788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 650d6f95-f6fe-48d0-9e13-5b35b1e0c92a · inbound

Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance cites this paper.

Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T15:26:16.360622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fedb350-47bb-4f9a-9359-3913c8e6be31 · 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 Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:23:58.094306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation da3e5a54-df68-4abb-9546-69fb36b0dee1 · inbound

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding cites this paper.

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T16:58:03.045413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b29c2515-6685-4636-81f5-332033a2f65a · inbound

Do Language Models Understand Time? cites this paper.

Do Language Models Understand Time? Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T12:47:17.236616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74a09442-949e-43fa-b0e9-8dcd2b66185e · 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 Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:41:08.305987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b33ecc19-b636-4868-807b-f9f156c0d2a3 · inbound

HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding? cites this paper.

HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding? Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:52.465714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25d78dc3-1e8c-4e0e-b101-df0023bd965b · inbound

MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs cites this paper.

MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:32.357748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd55f037-e5a8-499c-80cb-7ce337155cc7 · inbound

Challenging Vision-Language Models with Surgical Data: A New Dataset and Broad Benchmarking Study cites this paper.

Challenging Vision-Language Models with Surgical Data: A New Dataset and Broad Benchmarking Study Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T06:01:41.004736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05f04817-a770-4ae9-a563-be7b0d121e73 · inbound

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 cites this paper.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:13.702701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7883666e-4ec6-4b91-a616-a090dfa88957 · inbound

A Visual Leap in CLIP Compositionality Reasoning through Generation of Counterfactual Sets cites this paper.

A Visual Leap in CLIP Compositionality Reasoning through Generation of Counterfactual Sets Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T19:45:52.913989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b00b1574-7563-444b-bf4e-6c77be7efac6 · inbound

Docopilot: Improving Multimodal Models for Document-Level Understanding cites this paper.

Docopilot: Improving Multimodal Models for Document-Level Understanding Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T15:57:00.817293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cd8fa66-5bfa-4f4f-a128-d1cd0d32135b · inbound

In-context Learning of Vision Language Models for Detection of Physical and Digital Attacks against Face Recognition Systems cites this paper.

In-context Learning of Vision Language Models for Detection of Physical and Digital Attacks against Face Recognition Systems Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T15:43:16.211195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cb98090-3eb1-4a65-8b1f-1d91e71b65e4 · 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 Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:58:59.097039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 00a4bd24-b0d4-4288-8287-cf1da5b5f214 · inbound

The Blind Spot of Adaptation: Quantifying and Mitigating Forgetting in Fine-tuned Driving Models cites this paper.

The Blind Spot of Adaptation: Quantifying and Mitigating Forgetting in Fine-tuned Driving Models Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:15:50.128171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2764177a-b161-4f0c-a723-9ac3cb1d0fd5 · inbound

A Readiness-Driven Runtime for Pipeline-Parallel Training under Runtime Variability cites this paper.

A Readiness-Driven Runtime for Pipeline-Parallel Training under Runtime Variability Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:38:09.440345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f8b9de0f-89ce-459f-a406-dd62ab82d8f8 · inbound

EventDrive: Event Cameras for Vision-Language Driving Intelligence cites this paper.

EventDrive: Event Cameras for Vision-Language Driving Intelligence Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:18:57.083781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6ef7b290-08a6-4782-9174-8a312e6a2b37 · inbound

LightSTAR: Efficient Visual Document Retrieval via Lightweight Selection with Vision-Adaptive Refinement cites this paper.

LightSTAR: Efficient Visual Document Retrieval via Lightweight Selection with Vision-Adaptive Refinement Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:39:44.700307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2d5289ad-e642-4ab7-8f38-abb0500efc6f · inbound

Do Video-LLMs Actually Watch? Diagnosing Character-Tracking Failures in Long-Form Video cites this paper.

Do Video-LLMs Actually Watch? Diagnosing Character-Tracking Failures in Long-Form Video Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T07:12:52.433947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.