Paper Citation Record · LEDGER

Lost in Time: A New Temporal Benchmark for VideoLLMs

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2410.07752.

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

pith.paper-citation-record.v1
2410.07752 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:19:36.820475Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T19:07:17.473192Z

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 f39631f1-dd69-4503-b0e7-984f504b983c · inbound

Can Multimodal LLMs do Visual Temporal Understanding and Reasoning? The answer is No! cites this paper.

Can Multimodal LLMs do Visual Temporal Understanding and Reasoning? The answer is No! Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T19:06:46.161997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f9ee443-d1d2-492a-bd74-25d790104880 · inbound

HD-EPIC: A Highly-Detailed Egocentric Video Dataset cites this paper.

HD-EPIC: A Highly-Detailed Egocentric Video Dataset Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T23:26:20.299457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb4cdb90-95e4-4514-9f5a-af4e447517b5 · inbound

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding cites this paper.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.820475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af4f657b-d3a6-443a-b8cc-74356a31ff63 · inbound

Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark cites this paper.

Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:40.452655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a4a9d7e-edc7-43bb-92fd-b818933fd4d9 · inbound

MINERVA: Evaluating Complex Video Reasoning cites this paper.

MINERVA: Evaluating Complex Video Reasoning Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T04:40:19.041344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 769e071d-a57c-4a42-a863-a23d22964c86 · inbound

Seed1.5-VL Technical Report cites this paper.

Seed1.5-VL Technical Report Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T05:26:06.098537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e75fe3f7-da28-4ef7-8baf-7a88741e82dc · inbound

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models cites this paper.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.668469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec8e0ee3-de3c-4682-8d6c-becc925384ba · inbound

Fostering Video Reasoning via Next-Event Prediction cites this paper.

Fostering Video Reasoning via Next-Event Prediction Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:40.921513Z

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 cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T11:42:34.028134Z

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? cites this paper.

How Important are Videos for Training Video LLMs? Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:07.790019Z

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 cites this paper.

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:33:50.755434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3f7009cb-616d-44a6-bd44-2b6e59c6e59e · inbound

VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos cites this paper.

VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:55.823070Z

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 cites this paper.

MESH -- Understanding Videos Like Human: Measuring Hallucinations in Large Video Models Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T20:32:56.477678Z

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 cites this paper.

EgoExo-Con: Exploring View-Invariant Video Temporal Understanding Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T07:23:03.592902Z

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 cites this paper.

Adapting MLLMs for Nuanced Video Retrieval Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:21:18.917253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8e55d311-7132-4f32-8d5c-1edf6eb53b06 · inbound

Seed1.8 Model Card: Towards Generalized Real-World Agency cites this paper.

Seed1.8 Model Card: Towards Generalized Real-World Agency Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:45:14.381093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 97dcf00a-7928-4d4c-98d7-667d7095f848 · inbound

Lost in Adaptation: Layer-Selective Recovery of Temporal Reasoning in Video-Language Models cites this paper.

Lost in Adaptation: Layer-Selective Recovery of Temporal Reasoning in Video-Language Models Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:56:06.215848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2c98fe22-2bb7-43dc-9a7b-2927aa9238db · inbound

PushupBench: Your VLM is not good at counting pushups cites this paper.

PushupBench: Your VLM is not good at counting pushups Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:36:08.857453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8fa4fcd6-dd2b-4686-abb4-51a589436198 · inbound

Tracing the Arrow of Time: Diagnosing Temporal Information Flow in Video-LLMs cites this paper.

Tracing the Arrow of Time: Diagnosing Temporal Information Flow in Video-LLMs Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:05:53.171872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eb6ab733-4622-4b3b-85ec-36cb1c12f2cc · inbound

Minerva-Ego: Spatiotemporal Hints for Egocentric Video Understanding cites this paper.

Minerva-Ego: Spatiotemporal Hints for Egocentric Video Understanding Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T16:03:08.026421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e8bd32cd-f16d-464d-ac4b-2b0408354d5c · inbound

Learning Spatiotemporal Sensitivity in Video LLMs via Counterfactual Reinforcement Learning cites this paper.

Learning Spatiotemporal Sensitivity in Video LLMs via Counterfactual Reinforcement Learning Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:46:14.915462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b9223b89-0eee-487b-a66d-6691a801b119 · inbound

VGenST-Bench: A Benchmark for Spatio-Temporal Reasoning via Active Video Synthesis cites this paper.

VGenST-Bench: A Benchmark for Spatio-Temporal Reasoning via Active Video Synthesis Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:14:42.891160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 54d8863a-6e9a-4d9b-94d0-2e2186023ae7 · inbound

Which Way Did It Move? Diagnosing and Overcoming Directional Motion Blindness in Video-LLMs cites this paper.

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

Resolution: verified exact; arxiv_id, observed 2026-05-22T05:44:38.756827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 41b3e6fe-42de-40a4-820c-17a67258d8c3 · inbound

Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity cites this paper.

Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:07:17.474609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 00b81ec2-478a-4f2e-81e9-cce4e09940af · inbound

Do Video-LLMs Actually Watch? Diagnosing Character-Tracking Failures in Long-Form Video cites this paper.

Do Video-LLMs Actually Watch? Diagnosing Character-Tracking Failures in Long-Form Video Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T07:12:52.433947Z

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 cites this paper.

Accuracy Without Grounding: Diagnosing Visual Dependency Dissociation in Video LLM Benchmarks Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T05:39:58.511387Z

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 cites this paper.

VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-02T00:44:46.152973Z

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 cites this paper.

AdaThinkV: Adaptive Thinking for Token-Efficient Video Reasoning Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-04T17:24:16.126597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b53c5ab-bd8d-4503-b7a6-f4ac34dce6dc · inbound

VADER: Adaptive Debiasing for Hallucination Mitigation in Video Large Language Models cites this paper.

VADER: Adaptive Debiasing for Hallucination Mitigation in Video Large Language Models Lost in Time: A New Temporal Benchmark for VideoLLMs

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-14T04:35:47.905761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.