Paper Citation Record · LEDGER

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features

As of 19 August 2026, this Paper Citation Record lists 100 of 115 outbound references and 3 inbound Pith citation observations for arXiv:2412.00142.

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

pith.paper-citation-record.v1
2412.00142 v3

Coverage vector

measured 100 of 115 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:24:06.917263Z

measured 103 of 103 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:02:42.424201Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T06:17:26.610695Z

Reference resolution

100 of 115 outbound references displayed

verified exact3
verified fuzzy13
unresolved84
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ac2bcad2-f61d-4522-8da8-0bb0092f96d9 · outbound

This paper cites an unresolved cited work.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.494976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b0af4f5-1f9b-4e94-ae4e-48600d8aca7f · outbound

This paper cites Vqa: Visual question answering.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Vqa: Visual question answering

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.499604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c723246f-b926-4169-b19a-6ad76d6bbf5e · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.504091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9217092-aa73-4eb3-8237-d351cacfe238 · outbound

This paper cites Autoencoders, unsupervised learning, and deep architectures.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Autoencoders, unsupervised learning, and deep architectures

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.508859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2f0c454-b8df-4a3a-b022-b71a48b53d09 · outbound

This paper cites When XGBoost outperforms GPT-4 on text classification: A case study.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features When XGBoost outperforms GPT-4 on text classification: A case study

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.513025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2eb0f0be-de19-49d0-b26a-e5c26d488c06 · outbound

This paper cites Language Models are Few-Shot Learners.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Language Models are Few-Shot Learners

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.517399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca244d32-4943-4a39-b712-4a115bbb80ac · outbound

This paper cites Fine-Tuned 'Small' LLMs (Still) Significantly Outperform Zero-Shot Generative AI Models in Text Classification.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Fine-Tuned 'Small' LLMs (Still) Significantly Outperform Zero-Shot Generative AI Models in Text Classification

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.522307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 523fbd7a-de83-4964-8fd9-4630c910dcde · outbound

This paper cites Unified Hallucination Detection for Multimodal Large Language Models.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Unified Hallucination Detection for Multimodal Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.527276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb6aebae-89ec-4ba8-ac22-de904549b4c3 · outbound

This paper cites Imagenet: A large-scale hierarchical im- age database.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Imagenet: A large-scale hierarchical im- age database

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.531609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb04a755-f9d4-495d-8378-f998781e6d2e · outbound

This paper cites Llms to the moon? reddit market sentiment analysis with large language mod- els.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Llms to the moon? reddit market sentiment analysis with large language mod- els

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.535646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3e23a81-ccd2-4f07-9be7-d0e605ac8e6f · outbound

This paper cites Virtex: Learning vi- sual representations from textual annotations.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Virtex: Learning vi- sual representations from textual annotations

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.539633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f2c5cdc-a32c-49f0-9f38-1a2faea766c4 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.543840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb58b3b7-75ea-4df7-8a7e-2fbf7cb6eb02 · outbound

This paper cites Towards Multimodal In-Context Learning for Vision & Language Models.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Towards Multimodal In-Context Learning for Vision & Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.548314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df53f3e3-8d29-42fe-9603-2fec24dae47a · outbound

This paper cites Training Vision Transformers for Image Retrieval.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Training Vision Transformers for Image Retrieval

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.552631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5194c9a0-ac5f-40ad-8991-e8ae836711df · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features KTO: Model Alignment as Prospect Theoretic Optimization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.557031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d461ff02-49ca-4f0f-b995-dd15e6850e4e · outbound

This paper cites Behr, and Nancy Kan- wisher.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Behr, and Nancy Kan- wisher

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.561574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e878cf0e-87c1-4f84-935a-a03c82514ac9 · outbound

This paper cites BLINK: Multimodal Large Language Models Can See but Not Perceive.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features BLINK: Multimodal Large Language Models Can See but Not Perceive

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.565408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a04b953-ddb6-4016-954f-60eab479891d · outbound

This paper cites SimCSE: Simple Contrastive Learning of Sentence Embeddings.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features SimCSE: Simple Contrastive Learning of Sentence Embeddings

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.569011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba3caaae-440e-4a34-952d-de863883b8e9 · outbound

This paper cites an unresolved cited work.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.573075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d28298b-388f-478a-9ab5-b897417304ed · outbound

This paper cites MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.576490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9451e03c-4b15-4071-9043-e8152a9dd315 · outbound

This paper cites Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.580093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d606d26-7a71-4abf-93d3-d203d269c733 · outbound

This paper cites In-Context Learning Creates Task Vectors.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features In-Context Learning Creates Task Vectors

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.587897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e74514f7-cbf2-4859-8909-dd1f81a646db · outbound

This paper cites Incorporating structured representations into pretrained vi- sion \& language models using scene graphs.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Incorporating structured representations into pretrained vi- sion \& language models using scene graphs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.591537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeda20c5-fa01-45f1-808a-bce0fd2ad5f2 · outbound

This paper cites Hinton G, van der Maaten.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Hinton G, van der Maaten

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.595634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3daabcc-1716-4cd4-a045-f9f13176563e · outbound

This paper cites Finding visual task vectors.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Finding visual task vectors

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.599489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74179b86-648b-4da6-a344-f76e81323af5 · outbound

This paper cites SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.603506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b4a7ca8-970e-422b-9686-e7b598e922e9 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features LoRA: Low-Rank Adaptation of Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.607573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5be0f649-ec2a-418a-abd1-682a70217bc8 · outbound

This paper cites Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.611337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7998ba8-cbd3-4ebe-a15e-14b1a6eadab3 · outbound

This paper cites Llm2clip: Powerful language model unlock richer visual representation.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Llm2clip: Powerful language model unlock richer visual representation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.615370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d62f176-d6c9-4df6-91af-6e84b65d0a47 · outbound

This paper cites Hudson and Christopher D.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Hudson and Christopher D

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.619429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bce9494-9555-495c-83a8-a5e40749a083 · outbound

This paper cites Learning Object Detection from Captions via Textual Scene Attributes.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Learning Object Detection from Captions via Textual Scene Attributes

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-12T10:24:07.463692Z

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 39148b52-46c9-476e-8be6-5ee3e96d056b · outbound

This paper cites Promptbert: Improving bert sen- tence embeddings with prompts.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Promptbert: Improving bert sen- tence embeddings with prompts

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.627346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6802af6-95e4-4021-927d-ee99eaa91656 · outbound

This paper cites Scaling Sentence Embeddings with Large Language Models.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Scaling Sentence Embeddings with Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.631097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 237a0d01-dcd2-4b71-b099-f69379f6f25c · outbound

This paper cites E5-V: Universal Embeddings with Multimodal Large Language Models.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features E5-V: Universal Embeddings with Multimodal Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.635140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7af35b5-88f0-4098-8bdf-6118b18bba8f · outbound

This paper cites Domain specificity in face perception.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Domain specificity in face perception

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.639187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 382a63d8-e84e-4863-bc52-dfba30d2f81f · outbound

This paper cites an unresolved cited work.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.642868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83ef24da-f997-4211-8e96-2834f6894f9c · outbound

This paper cites Auto-Encoding Variational Bayes.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Auto-Encoding Variational Bayes

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.646670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 910264f5-b8ec-440c-a391-c7395233d91d · outbound

This paper cites Autoregressive image generation us- ing residual quantization.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Autoregressive image generation us- ing residual quantization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.651010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4161a6d-6e21-4c15-95eb-f4aebf9e4a94 · outbound

This paper cites Meta-task prompting elicits embeddings from large language models.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Meta-task prompting elicits embeddings from large language models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.654901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9690ea70-a02c-469a-9577-a87499e1b821 · outbound

This paper cites The power of scale for parameter-efficient prompt tuning.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features The power of scale for parameter-efficient prompt tuning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.659016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c700684-3f0a-4297-863e-d216f8f1f69c · outbound

This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.662505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17c967a0-1d3c-453f-b983-174d6b3af53b · outbound

This paper cites NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.666386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac48e6c0-5c35-4fbb-8baf-fb982d627ce6 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features LLaVA-OneVision: Easy Visual Task Transfer

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.670488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eed1a4c1-c4c0-487e-837b-c911053a739d · outbound

This paper cites BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.674598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0f68e6c-677c-4fd6-98cc-0496d8fdf931 · outbound

This paper cites BLIP-2: bootstrapping language-image pre-training with frozen image encoders and large language models.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features BLIP-2: bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.678514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 417cda0d-77b3-4fe0-b33d-6b42dddfdb36 · outbound

This paper cites Conan-embedding: General Text Embedding with More and Better Negative Samples.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Conan-embedding: General Text Embedding with More and Better Negative Samples

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.682186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14dceaea-d9d6-4ae5-9a85-08b932e4f859 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.686196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42edebf6-d422-4266-9906-fe60478ae4e0 · outbound

This paper cites Scaling language-image pre- training via masking.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Scaling language-image pre- training via masking

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.690378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 970b216e-bf6d-4868-a1c3-aa7efe0d6b62 · outbound

This paper cites Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.698630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6aef712-9564-4205-a949-f92b788859cd · outbound

This paper cites GT2Vec: Large Language Models as Multi-Modal Encoders for Text and Graph-Structured Data.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features GT2Vec: Large Language Models as Multi-Modal Encoders for Text and Graph-Structured Data

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-12T10:24:07.330290Z

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 fecdeb87-71e5-4db3-b77f-bc6f4f83444f · outbound

This paper cites Maire, Serge J.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Maire, Serge J

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.707493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32744962-ab80-4aa2-9641-9069a427bd09 · outbound

This paper cites Revisiting the Role of Language Priors in Vision-Language Models.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Revisiting the Role of Language Priors in Vision-Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.711881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eae4df1-b646-42d4-9a84-4703e2aef339 · outbound

This paper cites Multimodality helps unimodality: Cross- modal few-shot learning with multimodal models.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Multimodality helps unimodality: Cross- modal few-shot learning with multimodal models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.716359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f529054a-834f-4495-80b8-93c892edf478 · outbound

This paper cites Evaluating text-to-visual generation with image- to-text generation.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Evaluating text-to-visual generation with image- to-text generation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.720415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3642c95-4b37-43e5-a23d-d6fa293ad50b · outbound

This paper cites Evaluating text-to-visual generation with image- to-text generation.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Evaluating text-to-visual generation with image- to-text generation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.724414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ac9665c-8893-4879-a96f-923ed2e325ab · outbound

This paper cites Improved baselines with visual instruction tuning, 2023.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Improved baselines with visual instruction tuning, 2023

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.728782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61d8578c-b584-4850-a45e-76d8c05952fc · outbound

This paper cites Visual instruction tuning.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Visual instruction tuning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.733026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81031fed-02db-49cf-93c1-094d24034ad3 · outbound

This paper cites Meaning Representations from Trajectories in Autoregressive Models.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Meaning Representations from Trajectories in Autoregressive Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.737206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3808aeeb-1ae9-4b0e-bee6-da5ed897c2b9 · outbound

This paper cites Decision-making with auto-encoding variational bayes.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Decision-making with auto-encoding variational bayes

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.741457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 860f3a34-4cc4-46b0-a8e6-eba528d8b32f · outbound

This paper cites Decision-making with auto-encoding variational bayes.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Decision-making with auto-encoding variational bayes

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.746257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10691041-26b8-4e48-b5e5-e17e4edce9ba · outbound

This paper cites Ovis: Structural Embedding Alignment for Multimodal Large Language Model.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Ovis: Structural Embedding Alignment for Multimodal Large Language Model

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.750576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10a89739-248d-433c-a1cc-7c3a993b0531 · outbound

This paper cites an unresolved cited work.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Unresolved cited work

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.754674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a571fcb7-0b4d-464c-90b0-d04a4c02e882 · outbound

This paper cites Distributed representations of words and phrases and their compositionality.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Distributed representations of words and phrases and their compositionality

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.758709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0e5e3f9-82ab-4d97-b0c0-b574445b0d8f · outbound

This paper cites Compositional chain of thought prompting for large multimodal models.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Compositional chain of thought prompting for large multimodal models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.762358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation defbcfcb-9ee4-4916-a941-7e112781b921 · outbound

This paper cites Mteb: Massive text embedding benchmark.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Mteb: Massive text embedding benchmark

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.766043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc664de4-3dde-4be6-9293-770fa48bb75d · outbound

This paper cites Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.770554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3091e1f7-985f-49cf-8c5c-7448981a64db · outbound

This paper cites Large Dual Encoders Are Generalizable Retrievers.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Large Dual Encoders Are Generalizable Retrievers

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.775124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0670cd0b-a8c1-446e-9b06-3a9ee455f178 · outbound

This paper cites Automated flower classification over a large number of classes.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Automated flower classification over a large number of classes

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.779744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e46d77f-b919-4518-9962-f5637ed0830b · outbound

This paper cites In-context Learning and Induction Heads.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features In-context Learning and Induction Heads

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.784087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c1338aa-59ca-4408-93e8-256fda08462f · outbound

This paper cites GPT-4 Technical Report.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features GPT-4 Technical Report

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.787678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 010f9609-f6f2-46f5-abea-2eb796dc0a0d · outbound

This paper cites Training language models to follow instructions with human feedback.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Training language models to follow instructions with human feedback

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.791666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a400b89-6cda-4ef6-ba50-1a486ee49972 · outbound

This paper cites Cats and dogs.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Cats and dogs

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:24:23.006907Z

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 f67ca58f-9e22-46dc-9068-2da43c2402c9 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Pytorch: An imperative style, high-performance deep learning library

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.800059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01b999a2-0cd5-4f0e-a976-53c2eaa49278 · outbound

This paper cites Glove: Global vectors for word representation.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Glove: Global vectors for word representation

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:24:22.986807Z

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 9e6dcf0b-c3ac-441d-ae24-280d741e57fb · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Learn- ing transferable visual models from natural language super- vision

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.808370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8c24296-ec00-47bb-a410-22800db5ee67 · outbound

This paper cites Direct 11 preference optimization: Your language model is secretly a reward model.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Direct 11 preference optimization: Your language model is secretly a reward model

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:24:22.966833Z

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 8cbff334-af6f-467b-8790-ad45513f619c · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.817705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d3e79ea-988c-4ebf-82db-4d101074fea0 · outbound

This paper cites Sentence-bert: Sen- tence embeddings using siamese bert-networks.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Sentence-bert: Sen- tence embeddings using siamese bert-networks

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:24:22.954210Z

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 d5dc1b9c-c76a-4329-a7d7-cba5c40cfc19 · outbound

This paper cites Parallel distributed processing, volume 1: Ex- plorations in the microstructure of cognition: Foundations.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Parallel distributed processing, volume 1: Ex- plorations in the microstructure of cognition: Foundations

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:24:22.942255Z

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 a95d2ca8-ef8d-456d-b84a-7e01e8fe4a4e · outbound

This paper cites Facenet: A unified embedding for face recognition and clustering.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Facenet: A unified embedding for face recognition and clustering

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:24:22.928840Z

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 48d7cab2-082e-4b9d-95a3-2acea89ca86c · outbound

This paper cites Understanding machine learning: From theory to algorithms.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Understanding machine learning: From theory to algorithms

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.833951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a23325ca-107e-444b-bcef-bb2ae5f3046d · outbound

This paper cites Towards vqa models that can read.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Towards vqa models that can read

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:24:22.908716Z

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 b7abfb13-0a01-44e0-a800-cbe89f29c988 · outbound

This paper cites Singh, Stephanie C.Y.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Singh, Stephanie C.Y

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:24:22.895527Z

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 0e01f113-c27c-4648-8f9c-c3b1c9469ffb · outbound

This paper cites Manning, Andrew Ng, and Christopher Potts.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Manning, Andrew Ng, and Christopher Potts

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:24:22.882259Z

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 bac12034-a2ca-4b81-bad1-062acff02f6b · outbound

This paper cites Text classification via large language models.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Text classification via large language models

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:24:22.868199Z

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 d04e8732-fb87-4c32-a3a7-1fe897211233 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.853805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72b9cea0-707c-416a-9982-4fed9c1b8160 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Gemini: A Family of Highly Capable Multimodal Models

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.857635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a2f1d75-2de5-4269-b006-4b69ab2ba907 · outbound

This paper cites Winoground: Probing vision and language models for visio-linguistic compositionality.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Winoground: Probing vision and language models for visio-linguistic compositionality

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:24:22.855299Z

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 d86023fd-50ae-405b-9975-d5d6ab24ea65 · outbound

This paper cites Function Vectors in Large Language Models.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Function Vectors in Large Language Models

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.870004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6f4c5bb-3d3e-4510-b508-11423e45f1ac · outbound

This paper cites Turk and Alex Pentland.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Turk and Alex Pentland

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:24:22.842687Z

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 442f34b2-5397-4270-beb1-0e3f5c570d8c · outbound

This paper cites Neural Discrete Representation Learning.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Neural Discrete Representation Learning

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.877742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ddc2d99-ec51-42ac-87b4-7135453d20db · outbound

This paper cites Belongie.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Belongie

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:24:22.829462Z

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 61fa933b-adb0-4852-9c4e-78fca8c13fe9 · outbound

This paper cites Improving Text Embeddings with Large Language Models.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Improving Text Embeddings with Large Language Models

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.886211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc3887f1-26e9-417d-b89f-df56945ae432 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.890364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72088dc8-cff8-4351-bf27-2a52e4338ed0 · outbound

This paper cites InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.894730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3493a6be-8d70-4e44-b9ac-0abe3377e6cf · outbound

This paper cites InternVideo2: Scaling Foundation Models for Multimodal Video Understanding.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features InternVideo2: Scaling Foundation Models for Multimodal Video Understanding

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.899322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66ed4700-903a-41f0-b7e8-53b3b5f642c3 · outbound

This paper cites Large Language Models Are Zero-Shot Text Classifiers.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Large Language Models Are Zero-Shot Text Classifiers

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.903563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f5c77e1-fc00-44cd-9ae4-3bf37f86797e · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Finetuned Language Models Are Zero-Shot Learners

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.907862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0cd3042-7589-4866-b072-5179448ce79b · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.912216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a9b37a6-4528-40d3-ab9f-fb380a97fed8 · outbound

This paper cites Scaling Laws for Discriminative Classification in Large Language Models.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Scaling Laws for Discriminative Classification in Large Language Models

Reference 103

Resolution: verified exact; local_arxiv, observed 2026-08-12T10:24:07.079988Z

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.

Pith citing papers

Observation e87e8d74-2e2e-4461-b28c-1e519c258d34 · inbound

Activation Reward Models for Few-Shot Model Alignment cites this paper.

Activation Reward Models for Few-Shot Model Alignment Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:42.424201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f39de5d2-e178-4293-996e-9311c4bec4e9 · inbound

Filter-And-Refine: A MLLM Based Cascade System for Industrial-Scale Video Content Moderation cites this paper.

Filter-And-Refine: A MLLM Based Cascade System for Industrial-Scale Video Content Moderation Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T14:58:43.281185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10332bb5-406a-41c9-a679-076ba29eadbb · inbound

Fine-R1: Make Multi-modal LLMs Excel in Fine-Grained Visual Recognition by Chain-of-Thought Reasoning cites this paper.

Fine-R1: Make Multi-modal LLMs Excel in Fine-Grained Visual Recognition by Chain-of-Thought Reasoning Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:17:26.613498Z

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.