Paper Citation Record · LEDGER

Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2406.11230.

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

pith.paper-citation-record.v1
2406.11230 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:11.235340Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T21:05:04.145546Z

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 dcd8b3c1-3341-4f40-b6c1-866542cd9bdf · inbound

Toward Embodied AGI: A Review of Embodied AI and the Road Ahead cites this paper.

Toward Embodied AGI: A Review of Embodied AI and the Road Ahead Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:11.235340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fa3711e-49f6-4feb-9648-7f5c95afec56 · inbound

HomeBench: Evaluating LLMs in Smart Homes with Valid and Invalid Instructions Across Single and Multiple Devices cites this paper.

HomeBench: Evaluating LLMs in Smart Homes with Valid and Invalid Instructions Across Single and Multiple Devices Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:13:45.327655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f3d84b0-1d89-45bf-afde-9d63081f84c0 · inbound

Movie Facts and Fibs (MF$^2$): A Benchmark for Long Movie Understanding cites this paper.

Movie Facts and Fibs (MF$^2$): A Benchmark for Long Movie Understanding Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T06:00:56.980537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb6bf620-4f22-4b7b-ad53-19787a6e48b7 · inbound

LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops cites this paper.

LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:22:16.115505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 93d1aed7-93f0-47a8-8746-cc2e3788b5f9 · inbound

Differential Multimodal Transformers cites this paper.

Differential Multimodal Transformers Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:39:22.125762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bc5c27f-6e34-4fde-afd3-3cb4571e3052 · inbound

TS-Haystack: A Multi-Task Retrieval Benchmark for Long-Context Time-Series Reasoning cites this paper.

TS-Haystack: A Multi-Task Retrieval Benchmark for Long-Context Time-Series Reasoning Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:46:43.258490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 94e88e0f-9735-4b2b-bfab-e730f6bd0fdf · inbound

TS-Haystack: A Multi-Task Retrieval Benchmark for Long-Context Time-Series Reasoning cites this paper.

TS-Haystack: A Multi-Task Retrieval Benchmark for Long-Context Time-Series Reasoning Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-02T23:21:32.745298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3fa6729-992a-4fa4-bf3d-3d11da5df5b4 · inbound

Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context cites this paper.

Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:17:50.219901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 959388e5-9f68-45fe-9483-1c83cd4fa307 · inbound

MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models cites this paper.

MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:05:04.147328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 09b1ee20-1304-4508-91b9-7c3ad2d358d2 · inbound

Where Facts Go Missing: A Layerwise Taxonomy and Per-Layer Attribution of Information Omission in Air-Gapped LLMAgent Pipelines cites this paper.

Where Facts Go Missing: A Layerwise Taxonomy and Per-Layer Attribution of Information Omission in Air-Gapped LLMAgent Pipelines Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T04:48:29.103768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72451726-ad7b-4291-825c-423b2dc8d9d9 · inbound

CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition cites this paper.

CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:23.498683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.