Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
M$^2$IV: Towards Efficient and Fine-grained Multimodal In-Context Learning via Representation Engineering
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2504.04633.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:25:20.485623Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:21:02.433897Z
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 9c2bcbe4-f9f0-4f19-96b9-0bb968a12302 · inbound
ZoomEye: Enhancing Multimodal LLMs with Human-Like Zooming Capabilities through Tree-Based Image Exploration cites this paper.
ZoomEye: Enhancing Multimodal LLMs with Human-Like Zooming Capabilities through Tree-Based Image Exploration M$^2$IV: Towards Efficient and Fine-grained Multimodal In-Context Learning via Representation Engineering
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:41:49.641192Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e2bcd66-294d-4c16-8dff-cfc4c5764b9e · inbound
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot cites this paper.
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot M$^2$IV: Towards Efficient and Fine-grained Multimodal In-Context Learning via Representation Engineering
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:16:09.481921Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13281d2c-c75a-4e64-ad26-6aa629566fbf · inbound
SurgBench: A Unified Large-Scale Benchmark for Surgical Video Analysis cites this paper.
SurgBench: A Unified Large-Scale Benchmark for Surgical Video Analysis M$^2$IV: Towards Efficient and Fine-grained Multimodal In-Context Learning via Representation Engineering
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:36:21.494756Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8033b78d-18cf-4c64-9b64-7d72f37f01a7 · inbound
FakeSV-VLM: Taming VLM for Detecting Fake Short-Video News via Progressive Mixture-Of-Experts Adapter cites this paper.
FakeSV-VLM: Taming VLM for Detecting Fake Short-Video News via Progressive Mixture-Of-Experts Adapter M$^2$IV: Towards Efficient and Fine-grained Multimodal In-Context Learning via Representation Engineering
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:41:50.898142Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e97d025a-c8b7-42e9-8426-5316d00b7319 · inbound
STARE at the Structure: Steering ICL Exemplar Selection with Structural Alignment cites this paper.
STARE at the Structure: Steering ICL Exemplar Selection with Structural Alignment M$^2$IV: Towards Efficient and Fine-grained Multimodal In-Context Learning via Representation Engineering
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:47:11.425423Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e01f9176-7b23-48c2-8831-fa73064c84a5 · inbound
Zero-shot Cross-lingual NER via Mitigating Language Difference: An Entity-aligned Translation Perspective cites this paper.
Zero-shot Cross-lingual NER via Mitigating Language Difference: An Entity-aligned Translation Perspective M$^2$IV: Towards Efficient and Fine-grained Multimodal In-Context Learning via Representation Engineering
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:57:49.594069Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99733461-4085-4dcf-ace7-33aa55f1751d · inbound
ActorMind: Emulating Human Actor Reasoning for Speech Role-Playing cites this paper.
ActorMind: Emulating Human Actor Reasoning for Speech Role-Playing M$^2$IV: Towards Efficient and Fine-grained Multimodal In-Context Learning via Representation Engineering
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:21:02.436035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5ebf5828-1978-4b3b-b753-63befd203868 · inbound
Enhancing Multimodal In-Context Learning via Inductive-Deductive Reasoning cites this paper.
Enhancing Multimodal In-Context Learning via Inductive-Deductive Reasoning M$^2$IV: Towards Efficient and Fine-grained Multimodal In-Context Learning via Representation Engineering
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T05:55:31.248242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d09bbd4b-e638-4401-972c-b897c86dccb0 · inbound
When Is a Task Vector Enough? An Empirical Theory of Implicit Multimodal ICL cites this paper.
When Is a Task Vector Enough? An Empirical Theory of Implicit Multimodal ICL M$^2$IV: Towards Efficient and Fine-grained Multimodal In-Context Learning via Representation Engineering
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:25:20.485623Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.