Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-11T02:01:00.882673Z
Paper Citation Record · LEDGER
As of 5 August 2026, this Paper Citation Record lists 100 of 105 outbound references and 0 inbound Pith citation observations for arXiv:2605.07640.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-11T02:01:00.882673Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 105 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d234d231-995b-4e93-b470-4086f2eb9e33 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Addison Wesley Longman, Inc
Reference 1
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LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Claude Sonnet 4.6 System Card
Reference 2
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Reference 3
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Reference 4
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Observation d820b1da-a224-42d4-89d9-0974883c144e · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 5
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Observation ebe189b4-615b-4682-bb39-382d1c0c1c51 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Remote sensing for lithology mapping in vegetation-covered regions: Methods, challenges, and opportunities.Minerals, (9):1153
Reference 6
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LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 7
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Observation 881beaf2-9979-452e-9873-4ff2a2314d18 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Instructblip: Towards general-purpose vision-language models with instruction tuning
Reference 8
Source-reported events for the cited work
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Observation 6636498f-cafc-4e2c-a097-5c71ae98610c · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation mirage effect
Reference 9
Source-reported events for the cited work
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Observation 99ac071d-e4c7-42c9-96b7-102922199650 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Machine learning and remote sensing-based lithological mapping of the duwi shear-belt area, central eastern desert, egypt.Scientific Reports, (1):17010
Reference 10
Source-reported events for the cited work
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Observation bb25ffc8-5b79-4a04-b705-07d0c4110e20 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Gemini 3 pro model card
Reference 11
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Observation 4f5f73cb-a8cb-41a2-bd7e-6bc40b712821 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 12
Source-reported events for the cited work
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Observation 928e588a-ddbe-4148-b866-184023d23ad3 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation A novel framework for leveraging geological environment big data to assess sustainable development goals.The Innovation Geoscience, page 100122
Reference 13
Source-reported events for the cited work
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Observation d6090aba-86eb-402a-af96-f42c1e3de9fb · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 14
Source-reported events for the cited work
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Observation dce2c40d-b078-4316-ba4c-20791dcb47a8 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Lora: Low-rank adaptation of large language models
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 65d9213f-c919-4eab-83dc-955c5302ca38 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Rsgpt: A remote sensing vision language model and benchmark.ISPRS Journal of Photogrammetry and Remote Sensing, pages 272–286
Reference 16
Source-reported events for the cited work
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Observation 9571b97b-8297-49f5-a2a6-9d73717b0e77 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Flowsearch: Advancing deep research with dynamic structured knowledge flow
Reference 17
Source-reported events for the cited work
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Observation 168f337e-62c5-4215-921f-7e0dd4ef9242 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Hyrank hyperspectral satellite dataset i (version v001).Zenodo, Apr
Reference 18
Source-reported events for the cited work
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Observation 6ea83259-450e-4b7e-9f04-49d80d427399 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Prometheus: Inducing fine-grained evaluation capability in language models
Reference 19
Source-reported events for the cited work
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Observation 0edd54fc-7fa8-4e40-a2b9-a8a088b82f88 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Geochat: Grounded large vision-language model for remote sensing
Reference 20
Source-reported events for the cited work
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Observation e58558b0-fae9-4c8f-89c3-936f09d9ecbc · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Geo-bench: Toward foundation models for earth monitoring
Reference 21
Source-reported events for the cited work
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Observation 4c68dde9-c061-4daa-8dcf-78531961534a · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Retrieval-augmented generation for knowledge-intensive nlp tasks
Reference 22
Source-reported events for the cited work
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Observation 98647c54-fc85-4a82-997e-2353ed4a398d · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Seed-bench: Benchmarking multimodal large language models
Reference 23
Source-reported events for the cited work
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Observation 7868b859-0ec4-4e32-be84-fe90fbba6a5f · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d1829d30-d5fc-40a5-8587-bf03196e2232 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Vrsbench: A versatile vision-language bench- mark dataset for remote sensing image understanding
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e849053a-4549-4f15-9328-c2d68dd50996 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Rouge: A package for automatic evaluation of summaries
Reference 26
Source-reported events for the cited work
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Observation ded07967-0f72-403f-8b68-2763615d1a8b · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Lithological classification by hyperspectral images based on a two-layer xgboost model, combined with a greedy algorithm
Reference 27
Source-reported events for the cited work
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Observation 3ba8d00b-e25c-49cd-99cd-d18fbb31bae7 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Visual instruction tuning.NeurIPS
Reference 28
Source-reported events for the cited work
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Observation 0ef86d70-e0cf-468d-9f5b-aacf7f3bca9e · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Lithology classification using tasi thermal infrared hyperspectral data with convolutional neural networks.Remote Sensing, (16):3117
Reference 29
Source-reported events for the cited work
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Observation a0305bab-fea0-44ed-82e9-fb0eed90ccc5 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation G-eval: Nlg evaluation using gpt-4 with better human alignment
Reference 30
Source-reported events for the cited work
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Observation 212a952f-007f-4c33-8674-4ff3d15d9ff7 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Mmbench: Is your multi-modal model an all-around player? InECCV, pages 216–233
Reference 31
Source-reported events for the cited work
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Observation 8bca9f29-8a05-402c-8f78-509a653f9ef3 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation da9c2654-6282-46ba-8411-85e4cc3c3bfb · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Kimi K2.5
Reference 33
Source-reported events for the cited work
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Observation ee7a8630-59e3-43cc-8c0d-d7c54aaa95c9 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Introducing gpt-5.4
Reference 34
Source-reported events for the cited work
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Observation fa9db29b-69cc-44e5-a53a-a09c1b50c8ae · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Bleu: a method for automatic evaluation of machine translation
Reference 36
Source-reported events for the cited work
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Observation 7e60118e-c248-461e-906e-b65e02cc98a4 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Hyperspectral remote sensing in lithological mapping, mineral exploration, and environmental geology: an updated review.Journal of Applied Remote Sensing, (3):031501–031501
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 74982355-de67-45d6-9af1-433b40506eb4 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Picabench: How far are we from physically realistic image editing?
Reference 38
Source-reported events for the cited work
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Observation d53521ff-110a-4491-a1b1-c82fe9ed8eac · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Learning transferable visual models from natural language supervision
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5852b4e6-81f6-471a-b685-9bd0778596af · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 40
Source-reported events for the cited work
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Observation aa6ea68a-e4c8-4915-b1aa-84ebd9ba263b · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Fair1m: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery.ISPRS Journal of Photogrammetry and Remote Sensing, pages 116–130
Reference 41
Source-reported events for the cited work
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Observation f270d345-50df-4101-b49f-7c80ec2a2b15 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Samrs: Scaling-up remote sensing segmentation dataset with segment anything model
Reference 42
Source-reported events for the cited work
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Observation abe27f2d-3623-4795-9f7d-75945c34d13d · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Earthvqa: Towards queryable earth via relational reasoning-based remote sensing visual question answering
Reference 43
Source-reported events for the cited work
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Observation 0a0b0d6f-9527-487d-9bb1-4488493a2ac6 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Reference 44
Source-reported events for the cited work
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Observation c807bf9f-cf2f-4f99-bd71-ba13f15edc34 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Grok 4 Model Card
Reference 45
Source-reported events for the cited work
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Observation d3a89af3-c906-48a7-b9fe-7f1124bd42ac · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 46
Source-reported events for the cited work
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Observation 7354a6d2-c1ec-4b19-b6a3-2688e72ce76b · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Openearthmap: A benchmark dataset for global high-resolution land cover mapping
Reference 47
Source-reported events for the cited work
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Observation 6f575ded-75fb-40dd-8714-e294cccafc57 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation C- pack: Packed resources for general chinese embeddings
Reference 48
Source-reported events for the cited work
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Observation 97039f5c-4b43-4f09-9445-1489de8725e1 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Assessment of worldview-3 data for lithological mapping.Remote Sensing, (11):1132
Reference 49
Source-reported events for the cited work
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Observation eab976d1-0442-4682-9624-e06795065449 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities
Reference 50
Source-reported events for the cited work
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Observation 69de8e19-1eec-4bd4-b792-fcc178ad6347 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi
Reference 51
Source-reported events for the cited work
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Observation 6b71b3bc-b187-4b8e-a2e0-6abc38cc32af · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation GLM-4.6V
Reference 52
Source-reported events for the cited work
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Observation 707b5674-8ce8-4150-bdc2-f7010b1343de · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Skyeyegpt: Unifying remote sensing vision- language tasks via instruction tuning with large language model.ISPRS Journal of Photogram- metry and Remote Sensing, pages 64–77
Reference 53
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 72f056a1-c043-40d5-8d81-d97a43d2c51e · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 54
Source-reported events for the cited work
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Observation cfac302c-f594-4916-b5ac-446c1d7db96e · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Large multimodal models evaluation: a survey
Reference 55
Source-reported events for the cited work
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Observation b2924c12-f9fb-4924-8a95-3970ab8df4b7 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Msearth: A benchmark for multimodal scientific comprehension of earth science.arXiv e-prints, pages arXiv–2505
Reference 56
Source-reported events for the cited work
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Observation 2dfd2bab-10f3-4ae1-bf16-b3b7c7584d6b · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Judging llm-as-a-judge with mt-bench and chatbot arena
Reference 57
Source-reported events for the cited work
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Observation 97e57485-62bd-4bf7-8ac2-38ac49b8d98c · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Rsvlm- qa: A benchmark dataset for remote sensing vision language model-based question answering
Reference 58
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a935e54a-170e-4888-a008-1eec4165dff9 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Intern-s1-pro: Scientific multimodal foundation model at trillion scale
Reference 59
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6957f013-4534-4662-b23d-2d1a37aafa76 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation You are STRICTLY FORBIDDEN from using <think> tags
Reference 60
Source-reported events for the cited work
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Observation b89091c2-dadc-4638-9c05-7c33559f90c3 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 61
Source-reported events for the cited work
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Observation 93e2d024-cd32-4881-b03c-4d2493f9be42 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Tone_Color
Reference 62
Source-reported events for the cited work
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Observation 3be8cd77-6167-4c82-817c-86f2950b7dc1 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 63
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Observation 70d84ccf-022d-43d6-aeb5-f46ab404c56a · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 64
Source-reported events for the cited work
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Observation a3a452fd-0f62-423c-957e-24281a3573fb · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 65
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Observation 99288277-91af-4f75-bb7f-336528c5221d · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 66
Source-reported events for the cited work
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Observation ccfa0b4c-e17a-4ef8-a53c-52488ef9f125 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 67
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Observation 5e4edad9-f287-4393-ac99-c717809cefa5 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation top−left
Reference 68
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LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 69
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LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 70
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LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 71
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LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 72
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LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 73
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Observation 282ad29c-3b4c-4658-b6eb-678e4c3163aa · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 74
Source-reported events for the cited work
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Observation 01483417-d109-45d6-a664-6c4c7b05dd8c · outbound
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Reference 75
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Observation 787df7dc-1d29-4e06-83b0-6ef296a958c6 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 76
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Observation 51cbc187-3ef8-46e2-8177-3d7e12bcbe8e · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 77
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Observation 17baa2fb-4e63-4bf4-b3a2-1bd5aacac66f · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 78
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Observation a75ad286-2f83-4666-9477-49a154687545 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 79
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LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 80
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Observation 3a003156-d09a-48c2-80f6-acee2f9881f8 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 82
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Observation 87633c4b-b80a-466a-99b3-81fbc9ea6b6c · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 83
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Observation b0883faf-aea4-4a4f-b407-f27908e1f6b2 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 84
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Observation 90174674-f688-4dda-ba0d-b07263528321 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 85
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Observation d81f23bd-7884-4cff-82ca-8941f86d6020 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 86
Source-reported events for the cited work
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Observation b97bbc52-f93e-4ff5-bab5-2eb5a8ec52b7 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 87
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Observation dfc474ea-16ed-4f59-a067-4bfbe45e4c57 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation No markdown
Reference 88
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Observation c6772275-d7f8-47e5-9bbc-52b4f224b846 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 89
Source-reported events for the cited work
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Observation 822c5dd0-a0a4-4554-8d8b-2237624ecb9b · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 90
Source-reported events for the cited work
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Observation 8b338129-16d0-45fe-9836-0f4f1334e4b0 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 91
Source-reported events for the cited work
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Observation 669bf717-c68f-4164-806c-085fa808f4d7 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 92
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Observation ab7eb4eb-041f-4d7e-9a06-3b90382711ba · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation question
Reference 93
Source-reported events for the cited work
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Observation 38f642f1-d28c-41aa-a5ef-c9a55046c787 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 94
Source-reported events for the cited work
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Observation 0bfbcee4-a1df-4177-8007-9464cea2137d · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 95
Source-reported events for the cited work
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Observation c58d7537-2c96-4f04-9d42-a55748c70feb · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 96
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 929864c6-6939-45ab-9dc3-ac9fed62031d · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 97
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f3865f4b-837b-48f5-acdd-7ef86985657a · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work
Reference 98
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1dadf41b-110f-48e0-b9ac-c758e3063f6a · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Evaluate whether the incorrect options are plausible, domain−relevant, and sufficiently challenging
Reference 99
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1321e2ef-0b29-48e8-ac7a-c6b074b4d5c0 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Penalize shallow, generic, weakly justified, or weakly image−grounded analysis
Reference 100
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b9e20d68-ef74-4b83-a6d2-2d9ca4a15ba0 · outbound
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation This score should be discriminative and suitable for ranking
Reference 101
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
No inbound Pith citation observations are available.