Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2211.05778.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T12:43:47.568564Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T19:32:35.285668Z
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 7ce8d913-bc22-4381-928d-0abbdae14e56 · inbound
Uncertainty in Real-Time Semantic Segmentation on Embedded Systems cites this paper.
Uncertainty in Real-Time Semantic Segmentation on Embedded Systems InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T10:14:19.010661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b0edfe37-5b78-4572-986e-9fe6a0bd3a1d · inbound
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention cites this paper.
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Reference 280
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T23:07:42.852643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation aa662122-8c47-4764-8188-c6bd474e69fb · inbound
Hausdorff Distance Matching with Adaptive Query Denoising for Rotated Detection Transformer cites this paper.
Hausdorff Distance Matching with Adaptive Query Denoising for Rotated Detection Transformer InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T08:34:11.821516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 52a886f4-49f2-446a-81ba-9c9890f8b27e · inbound
D$^2$-World: An Efficient World Model through Decoupled Dynamic Flow cites this paper.
D$^2$-World: An Efficient World Model through Decoupled Dynamic Flow InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:43:47.568564Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f42091e8-0b14-401a-a6a1-2a9a0da614e9 · inbound
Semantic Communication based on Generative AI: A New Approach to Image Compression and Edge Optimization cites this paper.
Semantic Communication based on Generative AI: A New Approach to Image Compression and Edge Optimization InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Reference 116
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:36:48.331552Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation faf65b23-a8df-4ed4-8fd7-b4873109267e · inbound
MapFusion: A Novel BEV Feature Fusion Network for Multi-modal Map Construction cites this paper.
MapFusion: A Novel BEV Feature Fusion Network for Multi-modal Map Construction InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T05:10:35.050125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50c05e8d-c4f5-4e64-b432-2281af96cd29 · inbound
Smelly, dense, and spreaded: The Object Detection for Olfactory References (ODOR) dataset cites this paper.
Smelly, dense, and spreaded: The Object Detection for Olfactory References (ODOR) dataset InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Reference 87
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:25:20.693336Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16d200ed-55ca-44ae-9ac0-dd417168cd57 · inbound
GTAD: Global Temporal Aggregation Denoising Learning for 3D Semantic Occupancy Prediction cites this paper.
GTAD: Global Temporal Aggregation Denoising Learning for 3D Semantic Occupancy Prediction InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:10:19.687685Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55c4d454-7b08-46f4-8b37-487d1a93f090 · inbound
Adversarial Attention Perturbations for Large Object Detection Transformers cites this paper.
Adversarial Attention Perturbations for Large Object Detection Transformers InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:50:41.428702Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fed3ebbb-2f6c-4008-80b6-01e6af1bc355 · inbound
Materialistic RIR: Material Conditioned Realistic RIR Generation cites this paper.
Materialistic RIR: Material Conditioned Realistic RIR Generation InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:51:02.855356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 374b012a-5cf0-47f4-8869-cc7684176c1d · inbound
Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders cites this paper.
Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-28T19:32:35.287136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3f0fa527-4fa6-4616-be63-874a524198ac · inbound
LunarFM: A Shared Multimodal Representation of the Moon's Surface cites this paper.
LunarFM: A Shared Multimodal Representation of the Moon's Surface InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T04:56:31.547417Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e55bb1b7-4226-41eb-93d8-fc5b3db34d02 · inbound
Optimization of Collaborative Semantic Communication Network Performance with Channel and Content Preference Feedback cites this paper.
Optimization of Collaborative Semantic Communication Network Performance with Channel and Content Preference Feedback InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T03:43:06.071039Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.