Paper Citation Record · LEDGER

TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2410.23266.

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

pith.paper-citation-record.v1
2410.23266 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:06:46.226297Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:57:41.270398Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 b73cabd9-3ec1-4fdf-ac0f-828b168ce800 · 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! TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T19:06:46.226297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32543ac6-b29e-42a2-954b-c83eec350e2b · inbound

Seed1.5-VL Technical Report cites this paper.

Seed1.5-VL Technical Report TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models

Reference 118

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:26:05.439460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ebbce05a-4324-48b2-8795-b111606f7354 · inbound

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos cites this paper.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:03.750220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51d896f8-66df-4027-9c6e-e48beb66ab3b · inbound

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos cites this paper.

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:48.261199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1084599e-7509-4f0e-a156-9c5c0b60a8f8 · inbound

VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Videos cites this paper.

VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Videos TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T10:25:36.299124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd1c37b8-704b-4224-888d-0992d7313db4 · 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 TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:33:51.178602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ffdbdba9-ab23-41ab-b009-7575a0a0e9f7 · inbound

ISO-Bench: Benchmarking Multimodal Causal Reasoning in Visual-Language Models through Procedural Plans cites this paper.

ISO-Bench: Benchmarking Multimodal Causal Reasoning in Visual-Language Models through Procedural Plans TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T11:08:10.355570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6b5b6e6-29d1-4b52-93ca-c5210d58cc63 · inbound

SVCBench: A Streaming Video Counting Benchmark for Spatial-Temporal State Maintenance cites this paper.

SVCBench: A Streaming Video Counting Benchmark for Spatial-Temporal State Maintenance TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T22:09:56.270516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6adaaf95-1685-46ff-8bf3-bcd8f52a8fdb · inbound

Reasoning Resides in Layers: Restoring Temporal Reasoning in Video-Language Models with Layer-Selective Merging cites this paper.

Reasoning Resides in Layers: Restoring Temporal Reasoning in Video-Language Models with Layer-Selective Merging TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:56:05.675745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cd74b951-ddc4-4b90-84ca-f9892bb792f2 · inbound

DenseStep2M: A Scalable, Training-Free Pipeline for Dense Instructional Video Annotation cites this paper.

DenseStep2M: A Scalable, Training-Free Pipeline for Dense Instructional Video Annotation TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:46:26.115404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c71e0dfd-8391-4f1b-9d1b-0a901beee377 · inbound

VLMaxxing through FrameMogging Training-Free Anti-Recomputation for Video Vision-Language Models cites this paper.

VLMaxxing through FrameMogging Training-Free Anti-Recomputation for Video Vision-Language Models TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:11:13.608173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 43914f2a-3cf6-4734-a493-640c3ec42e7f · inbound

EvoGround: Self-Evolving Video Agents for Video Temporal Grounding cites this paper.

EvoGround: Self-Evolving Video Agents for Video Temporal Grounding TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:32:52.309602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6bb766fe-00df-468e-b65c-38e645fc268b · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models

Reference 205

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:57:41.272017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.