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Paper Citation Record · LEDGER

HOMI: Ultra-Fast EdgeAI platform for Event Cameras

As of 18 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2508.12637.

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

pith.paper-citation-record.v1
2508.12637 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:22:18.156922Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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  • verified fuzzy24
  • unresolved17
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External citation measurements

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Outbound references

Observation 959a7328-fad9-4a90-a01a-19f5411a3f21 · outbound

This paper cites Qwen Technical Report.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Qwen Technical Report

Reference 1

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Observation b7fdf63c-0a84-4f66-a4a5-d2d8e9baf7c0 · outbound

This paper cites Qwen2.5-VL Technical Report.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Qwen2.5-VL Technical Report

Reference 2

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source=pdf_text observed=2026-08-15T17:22:17.947927Z digest=sha256:0d3800ccc1b6191b0ae49429efffe4207edf1f636d833d7e29ff3c0c4232bce1

Observation 172d9780-492b-4149-955c-a5ffe5f76e6a · outbound

This paper cites Ipn hand: A video dataset and benchmark for real-time continuous hand gesture recog- nition.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Ipn hand: A video dataset and benchmark for real-time continuous hand gesture recog- nition

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 384b3319-3ec9-4191-94a4-51fd616600fb · outbound

This paper cites nuScenes: A multimodal dataset for autonomous driving.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras nuScenes: A multimodal dataset for autonomous driving

Reference 4

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source=pdf_text observed=2026-08-15T17:22:17.959179Z digest=sha256:24f5e98ec4f42c325d1122da075cdab2c8bd76ec7eb0dcde4a41174d20e2d3be

Observation 57d71df5-3a37-4916-9833-a9cabdf85b4a · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

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source=pdf_text observed=2026-08-15T17:22:17.965066Z digest=sha256:2d3a6dfe579168cf351ab1b7858e1431049a6b6837b2017b560c31555461ce5b

Observation 948bf6da-876b-40b6-a9b1-dc0cefa94cfe · outbound

This paper cites Learn- ing a deep convnet for multi-label classification with partial labels.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Learn- ing a deep convnet for multi-label classification with partial labels

Reference 6

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raw_fallback, observed 2026-08-15T17:22:19.151287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:17.970697Z digest=sha256:e18021ea052b234a6e941890f361011efb68d288b94eae2674d161a2c4ee56b0

Observation 98247d09-5ac2-4692-a939-6e183c50e300 · outbound

This paper cites Notes-guided mllm reasoning: Enhancing mllm with knowl- edge and visual notes for visual question answering.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Notes-guided mllm reasoning: Enhancing mllm with knowl- edge and visual notes for visual question answering

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:17.977267Z digest=sha256:269dfe85529414f7cf662a21c76f0ad0eead77e7dd67decaff0611476dd70afe

Observation 28ed85db-802d-41e5-8563-183a2290d9eb · outbound

This paper cites History-Augmented Vision-Language Models for Frontier-Based Zero-Shot Object Navigation.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras History-Augmented Vision-Language Models for Frontier-Based Zero-Shot Object Navigation

Reference 8

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source=pdf_text observed=2026-08-15T17:22:17.982994Z digest=sha256:51b76a1ed88b706a0efb80dc09db4d2f851f9885a5dd4100909edf158cac3d47

Observation 58d17876-6448-44df-bcc1-654b4a031d6d · outbound

This paper cites Laecips: Large vi- sion model assisted adaptive edge-cloud collaboration for iot-based perception system.arXiv e-prints, pages arXiv– 2404, 2024.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Laecips: Large vi- sion model assisted adaptive edge-cloud collaboration for iot-based perception system.arXiv e-prints, pages arXiv– 2404, 2024

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:17.988496Z digest=sha256:d33bbcd7b93e375a3750c325c49c81eb3d2840f2c767371033165a0ce1b556fe

Observation 362de522-1084-4447-bfcd-9c3c488ce399 · outbound

This paper cites A cloud-edge collaborative architecture for multi- modal llms-based advanced driver assistance systems in iot networks.IEEE Internet of Things Journal, 2024.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras A cloud-edge collaborative architecture for multi- modal llms-based advanced driver assistance systems in iot networks.IEEE Internet of Things Journal, 2024

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:17.993664Z digest=sha256:f4129e64ef8b9d0c188b60c30258089df312d72279e756a79fb49bcfe0e3fbdf

Observation a0c40338-26a0-48ad-9d6e-0e3a46687ac0 · outbound

This paper cites Multi-label classification by exploiting local positive and negative pairwise label correlation.Neurocom- puting, 257:164–174, 2017.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Multi-label classification by exploiting local positive and negative pairwise label correlation.Neurocom- puting, 257:164–174, 2017

Reference 11

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:17.999012Z digest=sha256:94788c89de676ad09b735744061c3325e535808aa68eaf3ca2b2e3950fc18b5f

Observation cc83a24a-8b7e-4524-a336-880097fe8413 · outbound

This paper cites Vinci: A Real-time Embodied Smart Assistant based on Egocentric Vision-Language Model.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Vinci: A Real-time Embodied Smart Assistant based on Egocentric Vision-Language Model

Reference 12

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source=pdf_text observed=2026-08-15T17:22:18.003982Z digest=sha256:e318d1607abdfddbe39522aa056676557f5db2d616624cfd9e6aa3de0948b4cf

Observation 3a361aa2-f2f0-48a8-b13e-5032f5bbfde8 · outbound

This paper cites GPT-4o System Card.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras GPT-4o System Card

Reference 13

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source=pdf_text observed=2026-08-15T17:22:18.009072Z digest=sha256:5426f623a9630160ddba3481e0a6cabbc9043f2242b8c882c2626a25bee1d5a1

Observation 7616c9e4-a50f-43ca-a65a-52116844537d · outbound

This paper cites In-context learning can perform continual learning like humans.arXiv preprint arXiv:2509.22764, 2025.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras In-context learning can perform continual learning like humans.arXiv preprint arXiv:2509.22764, 2025

Reference 14

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source=pdf_text observed=2026-08-15T17:22:18.014571Z digest=sha256:25ab5b72ac99eaae7af78c4685855c7ca36a0ef90ef9410d37a63fd95e9d1cec

Observation 09148eba-f478-4231-9681-cc472dca78c1 · outbound

This paper cites Generative planning with 3d-vision lan- guage pre-training for end-to-end autonomous driving.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Generative planning with 3d-vision lan- guage pre-training for end-to-end autonomous driving

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:18.019586Z digest=sha256:13c48e10701d22154761f8c5b67fdcd4c8e674fa46c25fe7449e7d50a739e828

Observation 80c498af-44e4-42b1-971b-8707765b0b66 · outbound

This paper cites Distributed vlms: Efficient vision-language processing through cloud- edge collaboration.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Distributed vlms: Efficient vision-language processing through cloud- edge collaboration

Reference 16

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:18.025081Z digest=sha256:9b57ab755591b2de9f5397d5420b44e60d9338fbb86cb79d32ce10a7ad1a82f3

Observation fd3c8bd4-950f-403b-889e-289cdfabb88f · outbound

This paper cites Making large vision language mod- els to be good few-shot learners.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Making large vision language mod- els to be good few-shot learners

Reference 17

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:18.034906Z digest=sha256:820bb050cdd4e0831b405240b917b422b167d9be2a50a093e2e50a01cd9dc44c

Observation d644719d-cd37-4d00-aba8-4b1e9955ee1a · outbound

This paper cites Rea- songrounder: Lvlm-guided hierarchical feature splatting for open-vocabulary 3d visual grounding and reasoning.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Rea- songrounder: Lvlm-guided hierarchical feature splatting for open-vocabulary 3d visual grounding and reasoning

Reference 18

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2f64f138-6c39-449b-b66e-44bc50ae072d · outbound

This paper cites Bluelm-v-3b: Algorithm and system co-design for multimodal large language models on mobile devices.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Bluelm-v-3b: Algorithm and system co-design for multimodal large language models on mobile devices

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:18.044395Z digest=sha256:f9687c6b80336ebae2d129b5cff8461ced6c91ca9a0ab78f4d881e52d70c112d

Observation 37bef618-50b9-479b-8a12-e2404c0a5aa8 · outbound

This paper cites Can lvlms obtain a driver’s license? a benchmark towards reliable agi for autonomous driving.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Can lvlms obtain a driver’s license? a benchmark towards reliable agi for autonomous driving

Reference 20

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:18.049039Z digest=sha256:8484332155a69393b061486c174cb282e89d75d5afedabf5851039a3c2d763be

Observation 3141881a-a648-4d3a-afa5-55c3b3f17c3d · outbound

This paper cites Maximizing subset accuracy with recur- rent neural networks in multi-label classification.Advances in neural information processing systems, 30, 2017.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Maximizing subset accuracy with recur- rent neural networks in multi-label classification.Advances in neural information processing systems, 30, 2017

Reference 21

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:18.053934Z digest=sha256:ad8e5bd48c364d81794b3053aab95049d4a7132f5f452e1d6d087f36d7185b9f

Observation 34700582-0dda-4b2a-8f4f-d3ef76911278 · outbound

This paper cites Metaspatial: Reinforcing 3d spa- tial reasoning in vlms for the metaverse.arXiv preprint arXiv:2503.18470, 2025.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Metaspatial: Reinforcing 3d spa- tial reasoning in vlms for the metaverse.arXiv preprint arXiv:2503.18470, 2025

Reference 22

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source=pdf_text observed=2026-08-15T17:22:18.058604Z digest=sha256:732f27089853eee01d25c9d848eb53a0391a24f38fcb8c356aad970a5e4e2201

Observation d53ea1eb-88f2-4c7d-849f-c6381f5a634e · outbound

This paper cites Eve: Efficient multimodal vision lan- 9 guage models with elastic visual experts.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Eve: Efficient multimodal vision lan- 9 guage models with elastic visual experts

Reference 23

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:18.063129Z digest=sha256:b90121ff9935e11551d5604965444fa965743568e32d95f6e2b96a3aacd8a4a3

Observation 65522919-f769-4d9a-8d6b-a1a021f1218d · outbound

This paper cites Lmdrive: Closed-loop end-to-end driving with large language models.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Lmdrive: Closed-loop end-to-end driving with large language models

Reference 24

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source=pdf_text observed=2026-08-15T17:22:18.067735Z digest=sha256:f21c14057503c898eaa17081bd7d53016ca94991d215f41e64cf9f4cb5037856

Observation 9ceaaea3-7e08-4b2e-b3fa-18837dc6f9af · outbound

This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 25

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source=pdf_text observed=2026-08-15T17:22:18.072577Z digest=sha256:7dda84a1437b22a1a52dccfefad3b3495531fb6890ffc6e2a4ae25618e4dc124

Observation 6d164c00-ef2b-49f2-9308-149a97e9310b · outbound

This paper cites Kitchen scene context based gesture recognition: A contest in icpr2012.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Kitchen scene context based gesture recognition: A contest in icpr2012

Reference 26

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raw_fallback, observed 2026-08-15T17:22:18.892577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:18.078180Z digest=sha256:7bdb00df4796ce6d447aeaa23d942a29062b8fa6c2a675296e4eab02b0b6547e

Observation 9689afbf-3578-44b3-be56-72e479916945 · outbound

This paper cites Drivelm: Driving with graph visual question answering.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Drivelm: Driving with graph visual question answering

Reference 27

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raw_fallback, observed 2026-08-15T17:22:18.874683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:18.084063Z digest=sha256:47886f4a9e113c00be7f8d8caf60582293bda431e87e3c404c1500e77bab32db

Observation b18921f2-e2ff-4a59-8517-c0812136c466 · outbound

This paper cites Context-Aware LLM Translation System Using Conversation Summarization and Dialogue History.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Context-Aware LLM Translation System Using Conversation Summarization and Dialogue History

Reference 28

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local_arxiv, observed 2026-08-15T17:22:18.445877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:18.088654Z digest=sha256:6d21ec7c6384e7a773438b8a762c91370b869a5e55446c74c0904caa7e67d9a0

Observation 2ff485ac-5b34-4d26-9874-0daf90c654c9 · outbound

This paper cites DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 29

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source=pdf_text observed=2026-08-15T17:22:18.093930Z digest=sha256:8e367ad125991e166d0c7b905ec7668b80612f447032018f9070073e07889e1d

Observation bbed818d-b084-4800-b0ad-de50f409fa26 · outbound

This paper cites Fastvlm: Efficient vision encoding for vision language models.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Fastvlm: Efficient vision encoding for vision language models

Reference 30

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raw_fallback, observed 2026-08-15T17:22:18.857762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:18.099423Z digest=sha256:b1b43a9b72e7eb78d80aaa3553808c3dedda5603940ee86f4c1804939f01989a

Observation 46f4808a-217c-4299-9abe-e79f859bcc23 · outbound

This paper cites Hidden in Plain Sight: Exploring Chat History Tampering in Interactive Language Models.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Hidden in Plain Sight: Exploring Chat History Tampering in Interactive Language Models

Reference 31

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source=pdf_text observed=2026-08-15T17:22:18.104288Z digest=sha256:5d5bfe0cbd6dbe6f8e907e98c248b2fd1061bc3f4a2f9f9356dab4751eb147d7

Observation 525592d4-84c8-447e-858e-bec7868c89b6 · outbound

This paper cites Visual planning: Let’s think only with images.arXiv preprint arXiv:2505.11409, 2025.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Visual planning: Let’s think only with images.arXiv preprint arXiv:2505.11409, 2025

Reference 32

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source=pdf_text observed=2026-08-15T17:22:18.109686Z digest=sha256:8391b9353949b151d8ac8e27eb7b5165e5aa2552b3bab4d91ed46036a6b283fd

Observation e21fdd00-e110-4cc3-87dd-5416e637b46c · outbound

This paper cites Progress-aware video frame captioning.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Progress-aware video frame captioning

Reference 33

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raw_fallback, observed 2026-08-15T17:22:18.841724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:18.115426Z digest=sha256:be6d0112f4cca2ab7f75659c9b4b8ad28e2834dd7f29bdc154e514f4a497e554

Observation c90e0d99-6b2a-4aa2-846e-edf79b368cce · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 33a7941e-a51e-4114-87d5-a4f4e443063d · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Bdd100k: A diverse driving dataset for heterogeneous multitask learning

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:22:18.824571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:18.125647Z digest=sha256:edcd532117f71d9be6bcc117c9504b51cca61b08138d368858afbad96ae17ced

Observation 10a0adb6-a6e0-42a0-8a98-6bea137e8f8a · outbound

This paper cites Adaptive Chain-of-Focus Reasoning via Dynamic Visual Search and Zooming for Efficient VLMs.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Adaptive Chain-of-Focus Reasoning via Dynamic Visual Search and Zooming for Efficient VLMs

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:18.131316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:22:18.131316Z digest=sha256:dec4c18f78dde0bc92340feba59a8a2247cc2155542b846ac259d92332597149

Observation 549b3d98-faf5-4caa-966f-dd41559c060b · outbound

This paper cites Vavlm: Toward efficient edge-cloud video analytics with vision- language models.IEEE Transactions on Broadcasting, 2025.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Vavlm: Toward efficient edge-cloud video analytics with vision- language models.IEEE Transactions on Broadcasting, 2025

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:22:18.806848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 56c2cf9d-cc8a-4607-b740-dddcf4ff7c6f · outbound

This paper cites A stitch in time saves nine: Small vlm is a precise guidance for accelerating large vlms.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras A stitch in time saves nine: Small vlm is a precise guidance for accelerating large vlms

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:22:18.789589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:18.141987Z digest=sha256:711cb4887bbe80203641ab243ddc4ee841298e0052945f2b13b88ebfbcea212d

Observation 7639d549-8037-4369-9b6a-8773506d2b3b · outbound

This paper cites Physvlm: Enabling visual language models to understand robotic phys- ical reachability.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Physvlm: Enabling visual language models to understand robotic phys- ical reachability

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:22:18.773059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:18.147348Z digest=sha256:06dc1acd6116a7e304e2d465364acba9121d500063aaaeb9616b986c0c4f6664

Observation 8af9e7eb-3d95-44e9-94ce-a5b028047405 · outbound

This paper cites Deepeyes: In- centivizing ”thinking with images” via reinforcement learn- ing.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Deepeyes: In- centivizing ”thinking with images” via reinforcement learn- ing

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:22:18.756784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:22:18.152078Z digest=sha256:877be981f775b65f7ea48c70a434822f2d62e0a9ab0dd0c841286c9da7195816

Observation 0e60bdd7-49c7-4984-9de5-2542c0ded048 · outbound

This paper cites Ground-v: Teaching vlms to ground complex in- structions in pixels.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Ground-v: Teaching vlms to ground complex in- structions in pixels

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:22:18.740614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 293eb654-ea1a-45ed-a779-944afe4b56d1 · outbound

This paper cites an unresolved cited work.

HOMI: Ultra-Fast EdgeAI platform for Event Cameras Unresolved cited work

Reference 286

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:22:19.029543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

No inbound Pith citation observations are available.