Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2410.07752.
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
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T23:26:20.299457Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T19:07:17.473192Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 0f9ee443-d1d2-492a-bd74-25d790104880 · inbound
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 769e071d-a57c-4a42-a863-a23d22964c86 · inbound
Seed1.5-VL Technical Report Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ec8e0ee3-de3c-4682-8d6c-becc925384ba · inbound
Fostering Video Reasoning via Next-Event Prediction Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0773ce32-d25b-4c9a-a11e-7d9cc1e2eb03 · inbound
EPFL-Smart-Kitchen-30: Densely annotated cooking dataset with 3D kinematics to challenge video and language models Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 44
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03cff194-f5a0-4074-90c0-a2701db95f6b · inbound
How Important are Videos for Training Video LLMs? Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ddcf280-f912-4b04-a12e-5e84b7c485e2 · inbound
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3f7009cb-616d-44a6-bd44-2b6e59c6e59e · inbound
VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b62f425-e764-4385-a3c0-7c7e35137384 · inbound
MESH -- Understanding Videos Like Human: Measuring Hallucinations in Large Video Models Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8bda65d5-9efd-44e8-89ea-24f8062f3b04 · inbound
EgoExo-Con: Exploring View-Invariant Video Temporal Understanding Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 916a81a1-e40b-4e6d-a595-405f1fcbb1e5 · inbound
Adapting MLLMs for Nuanced Video Retrieval Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8e55d311-7132-4f32-8d5c-1edf6eb53b06 · inbound
Seed1.8 Model Card: Towards Generalized Real-World Agency Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 97dcf00a-7928-4d4c-98d7-667d7095f848 · inbound
Reasoning Resides in Layers: Restoring Temporal Reasoning in Video-Language Models with Layer-Selective Merging Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2c98fe22-2bb7-43dc-9a7b-2927aa9238db · inbound
PushupBench: Your VLM is not good at counting pushups Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8fa4fcd6-dd2b-4686-abb4-51a589436198 · inbound
Tracing the Arrow of Time: Diagnosing Temporal Information Flow in Video-LLMs Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation eb6ab733-4622-4b3b-85ec-36cb1c12f2cc · inbound
Minerva-Ego: Spatiotemporal Hints for Egocentric Video Understanding Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e8bd32cd-f16d-464d-ac4b-2b0408354d5c · inbound
Learning Spatiotemporal Sensitivity in Video LLMs via Counterfactual Reinforcement Learning Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b9223b89-0eee-487b-a66d-6691a801b119 · inbound
VGenST-Bench: A Benchmark for Spatio-Temporal Reasoning via Active Video Synthesis Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 54d8863a-6e9a-4d9b-94d0-2e2186023ae7 · inbound
Which Way Did It Move? Diagnosing and Overcoming Directional Motion Blindness in Video-LLMs Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 41b3e6fe-42de-40a4-820c-17a67258d8c3 · inbound
Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 00b81ec2-478a-4f2e-81e9-cce4e09940af · inbound
Do Video-LLMs Actually Watch? Diagnosing Character-Tracking Failures in Long-Form Video Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bddb493-8b2a-4d5b-9e5e-2f5ace7445cc · inbound
Accuracy Without Grounding: Diagnosing Visual Dependency Dissociation in Video LLM Benchmarks Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e3ba013-2d83-496e-9ee5-82869176d604 · inbound
VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 63
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24a8a509-1e7d-4172-b845-151ab4876e45 · inbound
AdaThinkV: Adaptive Thinking for Token-Efficient Video Reasoning Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 73
Source-reported events for the cited work
Unavailable: canonical work link unavailable.