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Paper Citation Record · LEDGER

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications

As of 15 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2607.27145.

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

pith.paper-citation-record.v1
2607.27145 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T12:20:53.670318Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

21 of 21 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 24641429-eba8-4e1a-9159-cf21c3bd4110 · outbound

This paper cites Qwen2.5-VL Technical Report.

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications Qwen2.5-VL Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 81d3500c-93c1-45c6-a645-535c927b0af6 · outbound

This paper cites Hallucination of Multimodal Large Language Models: A Survey.

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications Hallucination of Multimodal Large Language Models: A Survey

Reference 2

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Observation 3ba1b086-65c7-41b0-9add-b5babd4bb889 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 3

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Observation 80260397-1b54-4d70-9821-68b57d26fbbf · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021).

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)

Reference 4

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Observation 730916bd-eb73-4ee8-9ae1-eaa6870e590c · outbound

This paper cites In: Proc.

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications In: Proc

Reference 5

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Observation 933e3f93-953b-4aa7-b85e-f48e1221ae1d · outbound

This paper cites BLINK: Multimodal Large Language Models Can See but Not Perceive.

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications BLINK: Multimodal Large Language Models Can See but Not Perceive

Reference 6

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Observation 39dd4a17-7746-4cf8-9e95-54ab6fa8155a · outbound

This paper cites In: Proceedings of the 38th International Conference on Machine Learning (2021).

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications In: Proceedings of the 38th International Conference on Machine Learning (2021)

Reference 7

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Observation 1c638842-966f-42bf-b798-df9c2a5f55a8 · outbound

This paper cites In: ICML (2023).

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications In: ICML (2023)

Reference 8

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Observation 32766427-1384-46ff-a20d-ab274833164f · outbound

This paper cites In: Proceedings of EMNLP (2023).

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications In: Proceedings of EMNLP (2023)

Reference 9

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Observation 6522b96d-24d8-4324-88b2-2645a3c6c5f6 · outbound

This paper cites Transactions of the Association for Computational Linguistics (2023).

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications Transactions of the Association for Computational Linguistics (2023)

Reference 10

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Observation d580998f-7de7-49ee-b020-bbd9e3b02095 · outbound

This paper cites an unresolved cited work.

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications Unresolved cited work

Reference 11

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Observation 0169a985-6d50-467f-aba6-1298d8cd73db · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 12

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Observation ab8dc32f-0413-46f6-a631-97b16aa65251 · outbound

This paper cites Kosmos-2: Grounding Multimodal Large Language Models to the World.

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 13

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Observation d4550c71-6274-4e59-9a98-0201125962fa · outbound

This paper cites https://huggingface.co/datasets/Ra jarshi-Roy-research/lmms-lab-POPE-depth-captions(2024).

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications https://huggingface.co/datasets/Ra jarshi-Roy-research/lmms-lab-POPE-depth-captions(2024)

Reference 14

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Observation 1fbc5d18-577b-4c4c-b85a-1b3aaf57f067 · outbound

This paper cites an unresolved cited work.

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications Unresolved cited work

Reference 15

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Observation eec6d937-1a2a-4140-b855-bef50fbf86fb · outbound

This paper cites an unresolved cited work.

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications Unresolved cited work

Reference 16

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Observation 24911e94-1821-4993-a37d-83d7a366c171 · outbound

This paper cites In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) (2022).

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) (2022)

Reference 17

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Observation 3e0ddd19-9081-44e1-9943-2f33c0b9fcad · outbound

This paper cites In: NeurIPS (2022).

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications In: NeurIPS (2022)

Reference 18

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Observation 939f5e80-0337-4ae4-a640-fc5fd06e00e9 · outbound

This paper cites Pattern Recognition164, 111522 (2025).

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications Pattern Recognition164, 111522 (2025)

Reference 19

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Observation 9f097f22-25fc-4b80-a608-807c06f5a6e4 · outbound

This paper cites an unresolved cited work.

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications Unresolved cited work

Reference 20

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Observation e8031405-6ee2-4912-981f-b43d8eb4cdf8 · outbound

This paper cites Depth Anything V2.

Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications Depth Anything V2

Reference 21

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Pith citing papers

No inbound Pith citation observations are available.