Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:21:08.559862Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 3 inbound Pith citation observations for arXiv:2505.15435.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:21:08.559862Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T08:27:03.674229Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T08:33:15.607500Z
58 of 58 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 4f53eb2c-dbce-4ace-87fb-44ca5f2f7ef8 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models online" 'onlinestring :=
Reference 1
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Observation 445f09ff-3a76-46d4-958f-f361391417ee · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models write newline
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Observation ec76e173-e816-46f3-8405-205f991a40d7 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Reference 3
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Observation 216d29cd-008f-403e-a699-f42533fd257d · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Unresolved cited work
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Observation 82beea28-e0a4-4388-b12e-4125d60ac75f · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Unresolved cited work
Reference 5
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Observation 1eeee35d-e988-49da-80b4-e3dd4127d940 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
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Observation 84ef2487-92c8-432c-9b13-6db5082652b5 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Qwen2.5-VL Technical Report
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Observation 218cf0c3-5a73-418e-bf61-5a4c23ccf024 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Impossible Videos
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Observation 46e84066-4c31-4f17-98a7-79717af5cf07 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
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Observation b2d305cd-1c1e-4c0b-8c68-62234e14ab57 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Unresolved cited work
Reference 10
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Observation 7cedd5a6-3b1e-4b0f-a5d5-185d12943e0a · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Unresolved cited work
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Observation af172295-76cc-4ba5-bf35-5d5561ae1910 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Unresolved cited work
Reference 12
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Observation 88f38579-9ced-4e65-abcb-f5c8ac69ea40 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Scaling Instruction-Finetuned Language Models
Reference 13
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Observation 640635d4-8ae0-4327-8ef1-241b1eb24b0e · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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Observation 627fb513-bad7-4ea4-bda2-4b64db0c639f · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
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Observation b7dd6055-5026-4b96-8b03-cb440ab0a84b · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Unresolved cited work
Reference 17
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Observation f6aec4ef-04ab-44e1-9795-eac64d00109f · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models The Llama 3 Herd of Models
Reference 18
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Observation 2c8162b7-1d8f-42ab-954f-5ad194dd303f · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Efficient Multimodal Learning from Data-centric Perspective
Reference 19
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Observation 6425c5f5-2628-4408-8271-946a7a686471 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models CogVLM2: Visual Language Models for Image and Video Understanding
Reference 20
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Observation 954e36cb-c8dc-4f31-b379-aa5c102e721a · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Unresolved cited work
Reference 21
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Observation e6fc057c-dfae-4535-b908-ab7a9a896b29 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Mistral 7B
Reference 22
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Observation b8a9cbf2-4eda-4048-8a07-862490b3936a · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Unresolved cited work
Reference 23
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Observation 056bf031-8874-4873-a489-2bc26aa9f4c4 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension
Reference 24
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Observation 039e884b-22be-453f-a0e4-4a4d613024a8 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
Reference 25
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Observation c4e2eb9e-1707-4ee6-8b0d-b25d5b4162f7 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Reference 26
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Observation 44ba6a1e-313f-45b3-b17d-9e3b20c02255 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Unresolved cited work
Reference 27
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Observation 01a14c51-e559-4fa9-a653-a5299ebf00c5 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models
Reference 28
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Observation 6685021b-79d0-49b0-952d-3f044846202d · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models
Reference 29
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Observation 2cf8e1f9-7b5c-4f6a-a3ad-37cd939180ec · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Unresolved cited work
Reference 30
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Observation d63b1fd5-9a45-46a0-aa97-d76e1dcfb7e6 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Unresolved cited work
Reference 31
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Observation b6dcae9b-d0dc-4923-b60d-f7b60375cf58 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models TempCompass: Do Video LLMs Really Understand Videos?
Reference 32
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Observation 145cc998-7cf1-4a90-a99a-40d80a77bff8 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Unresolved cited work
Reference 33
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Observation e2947ecf-9fdf-4ebe-a753-c19a0cae9a71 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Unresolved cited work
Reference 34
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Observation 13d25a94-f9e4-46f9-ac01-cb6142da07aa · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training
Reference 35
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Observation c9c0aa41-0ace-4d52-82ef-682ec8b0919c · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
Reference 36
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Observation 0d77b8db-c044-4b64-a8d0-1211e6dffdc6 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models GPT-4o System Card
Reference 37
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Observation 14412af5-64c2-4158-9c1d-75ba21a59604 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Unresolved cited work
Reference 38
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Observation e3ba647c-9f9c-434b-ae3b-6306d600074b · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Unresolved cited work
Reference 39
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Observation 9d5be64a-5744-4655-9384-60088d952b7c · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Humanity's Last Exam
Reference 40
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Observation 69230039-c42b-44ae-97a2-ba8355cd7fa9 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Unresolved cited work
Reference 41
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Observation 39ca58c8-aa14-4b82-af06-792237eff944 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks
Reference 42
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Observation c628ca5d-3a85-40cc-a750-e34bee2d160f · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Unresolved cited work
Reference 43
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Observation c8035537-ae48-42e0-894e-0e6c16c842ce · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models MM-MATH: Advancing Multimodal Math Evaluation with Process Evaluation and Fine-grained Classification
Reference 44
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Observation 8128d2ce-0dd0-4952-8a67-5aa1b8cc6633 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Gemini: A Family of Highly Capable Multimodal Models
Reference 45
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Observation 543de62e-338d-4339-b276-26a66aa69b8a · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
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Observation 573f87b1-67c5-4310-a457-7bf36f630d62 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Gemma: Open Models Based on Gemini Research and Technology
Reference 47
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Observation cd21bd03-7f4e-4771-9884-933151047622 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
Reference 48
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Observation 37dbdc00-6367-425e-b14a-eee599f99ee6 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models LLaMA: Open and Efficient Foundation Language Models
Reference 49
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Observation 5ec21d43-91b3-4b21-9237-23bd9a1de64b · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models
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Observation 162343e5-fdec-4c9c-ae9e-583fe6c9d36c · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
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Observation b0c334f9-a71c-4719-bc39-c65cc679c070 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
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Observation e4d64376-76fc-4b58-93b1-2a35352addf5 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Unresolved cited work
Reference 53
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Observation dede3df7-5bb3-4c2a-b94a-6c6bf08abb6e · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Unresolved cited work
Reference 54
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Observation b0fcdb82-19b4-4dd5-b49d-b51c72537f1b · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models GLM-130B: An Open Bilingual Pre-trained Model
Reference 55
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Observation 0ac36fb2-ab8f-4be9-878b-df0d6c8add89 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling
Reference 56
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Observation a1a76945-8ea5-4931-b5ae-9afcd0d1d78b · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Unresolved cited work
Reference 57
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Observation 671bbe9c-b429-4adf-8e61-d18d895d741c · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Unresolved cited work
Reference 58
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Observation 5ae7bb7b-10ed-462e-908c-fd816a7b30b4 · outbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models
Reference 59
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Observation 8a733963-de16-4af8-853e-52b0ee40ef37 · inbound
PhyDetEx: Detecting and Explaining the Physical Plausibility of T2V Models TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models
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Observation 92a540e8-24c7-4946-8124-959cd2389bb8 · inbound
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Observation 20fc5d2c-baf9-4347-b98b-1403ac5bea1f · inbound
YoCausal: How Far is Video Generation from World Model? A Causality Perspective TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models
Reference 116
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