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Paper Citation Record · LEDGER

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation

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.

pith.paper-citation-record.v1
2605.07640 v1

Coverage vector

measured 100 of 105 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T02:01:00.882673Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

100 of 105 outbound references displayed

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  • verified fuzzy52
  • unresolved38
  • parse uncertain1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d234d231-995b-4e93-b470-4086f2eb9e33 · outbound

This paper cites Addison Wesley Longman, Inc.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Addison Wesley Longman, Inc

Reference 1

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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.

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Observation 85be497e-0bbb-43cd-998d-fa9761edd1cc · outbound

This paper cites Claude Sonnet 4.6 System Card.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Claude Sonnet 4.6 System Card

Reference 2

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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.

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Observation 380bc67a-7ef6-40f9-9ec8-332817b83981 · outbound

This paper cites Qwen Technical Report.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Qwen Technical Report

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 61b155c4-9e11-4c68-8d8b-c60a3c2bdc6a · outbound

This paper cites Qwen3-VL Technical Report.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Qwen3-VL Technical Report

Reference 4

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verified exact
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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.

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Observation d820b1da-a224-42d4-89d9-0974883c144e · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 5

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unresolved
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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.

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Observation ebe189b4-615b-4682-bb39-382d1c0c1c51 · outbound

This paper cites Remote sensing for lithology mapping in vegetation-covered regions: Methods, challenges, and opportunities.Minerals, (9):1153.

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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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.

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Observation fc546d92-9973-4dcf-ac3e-ab5a01867145 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 881beaf2-9979-452e-9873-4ff2a2314d18 · outbound

This paper cites Instructblip: Towards general-purpose vision-language models with instruction tuning.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Instructblip: Towards general-purpose vision-language models with instruction tuning

Reference 8

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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.

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Observation 6636498f-cafc-4e2c-a097-5c71ae98610c · outbound

This paper cites mirage effect.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation mirage effect

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 99ac071d-e4c7-42c9-96b7-102922199650 · outbound

This paper cites Machine learning and remote sensing-based lithological mapping of the duwi shear-belt area, central eastern desert, egypt.Scientific Reports, (1):17010.

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

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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.

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Observation bb25ffc8-5b79-4a04-b705-07d0c4110e20 · outbound

This paper cites Gemini 3 pro model card.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Gemini 3 pro model card

Reference 11

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Source-reported events for the cited work

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Observation 4f5f73cb-a8cb-41a2-bd7e-6bc40b712821 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 12

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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.

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Observation 928e588a-ddbe-4148-b866-184023d23ad3 · outbound

This paper cites A novel framework for leveraging geological environment big data to assess sustainable development goals.The Innovation Geoscience, page 100122.

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

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Source-reported events for the cited work

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Observation d6090aba-86eb-402a-af96-f42c1e3de9fb · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 14

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unresolved
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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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:7ecc9965bf2bccc3e6aac0cc913cb77bf2bc122a39cc07a384e15aaf7ef2662b

Observation dce2c40d-b078-4316-ba4c-20791dcb47a8 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Lora: Low-rank adaptation of large language models

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:42caa28e6d0a01aec08afc9d7f0af135ed77d0c769635b42f8af8b8ab67b5f43

Observation 65d9213f-c919-4eab-83dc-955c5302ca38 · outbound

This paper cites Rsgpt: A remote sensing vision language model and benchmark.ISPRS Journal of Photogrammetry and Remote Sensing, pages 272–286.

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

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Source-reported events for the cited work

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Observation 9571b97b-8297-49f5-a2a6-9d73717b0e77 · outbound

This paper cites Flowsearch: Advancing deep research with dynamic structured knowledge flow.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Flowsearch: Advancing deep research with dynamic structured knowledge flow

Reference 17

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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.

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Observation 168f337e-62c5-4215-921f-7e0dd4ef9242 · outbound

This paper cites Hyrank hyperspectral satellite dataset i (version v001).Zenodo, Apr.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Hyrank hyperspectral satellite dataset i (version v001).Zenodo, Apr

Reference 18

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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.

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Observation 6ea83259-450e-4b7e-9f04-49d80d427399 · outbound

This paper cites Prometheus: Inducing fine-grained evaluation capability in language models.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Prometheus: Inducing fine-grained evaluation capability in language models

Reference 19

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Source-reported events for the cited work

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Observation 0edd54fc-7fa8-4e40-a2b9-a8a088b82f88 · outbound

This paper cites Geochat: Grounded large vision-language model for remote sensing.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Geochat: Grounded large vision-language model for remote sensing

Reference 20

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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.

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Observation e58558b0-fae9-4c8f-89c3-936f09d9ecbc · outbound

This paper cites Geo-bench: Toward foundation models for earth monitoring.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Geo-bench: Toward foundation models for earth monitoring

Reference 21

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raw_fallback, observed 2026-05-14T14:41:24.028697Z

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.

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Observation 4c68dde9-c061-4daa-8dcf-78531961534a · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 22

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raw_fallback, observed 2026-05-14T14:41:24.107662Z

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.

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Observation 98647c54-fc85-4a82-997e-2353ed4a398d · outbound

This paper cites Seed-bench: Benchmarking multimodal large language models.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Seed-bench: Benchmarking multimodal large language models

Reference 23

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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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:c15b305306a5e4c500b7e58fb74455016a788aacc0a90930ba96845cdaf947ae

Observation 7868b859-0ec4-4e32-be84-fe90fbba6a5f · outbound

This paper cites Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models.

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

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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.

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Observation d1829d30-d5fc-40a5-8587-bf03196e2232 · outbound

This paper cites Vrsbench: A versatile vision-language bench- mark dataset for remote sensing image understanding.

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

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raw_fallback, observed 2026-05-14T14:41:24.034169Z

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.

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Observation e849053a-4549-4f15-9328-c2d68dd50996 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Rouge: A package for automatic evaluation of summaries

Reference 26

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raw_fallback, observed 2026-05-14T14:41:24.049265Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:85e799fff8b48a6d8bdc1e126d36fa53081fa045aa1fc0989b29031d9bec8528

Observation ded07967-0f72-403f-8b68-2763615d1a8b · outbound

This paper cites Lithological classification by hyperspectral images based on a two-layer xgboost model, combined with a greedy algorithm.

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

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raw_fallback, observed 2026-05-14T14:41:24.026885Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:2f3c3b7a479cd793ed30c11125b0287fbdc423e1008294dc34ab7950f6ca9c75

Observation 3ba8d00b-e25c-49cd-99cd-d18fbb31bae7 · outbound

This paper cites Visual instruction tuning.NeurIPS.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Visual instruction tuning.NeurIPS

Reference 28

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raw_fallback, observed 2026-05-14T14:41:24.042717Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:b537703017d63c2e5ce10b22999274d8696a0081aa2beeb74233c58a0137ff4b

Observation 0ef86d70-e0cf-468d-9f5b-aacf7f3bca9e · outbound

This paper cites Lithology classification using tasi thermal infrared hyperspectral data with convolutional neural networks.Remote Sensing, (16):3117.

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

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raw_fallback, observed 2026-05-14T14:41:24.058138Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:c50daf72865e336c03063a7dd253d579e3c5ffe465390a2c96e865d67ba1cc93

Observation a0305bab-fea0-44ed-82e9-fb0eed90ccc5 · outbound

This paper cites G-eval: Nlg evaluation using gpt-4 with better human alignment.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation G-eval: Nlg evaluation using gpt-4 with better human alignment

Reference 30

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raw_fallback, observed 2026-05-14T14:41:24.085035Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:76b8d72de0d8efbfe71e732fc5a70eec0c4018b3d43a611c102ee8fea3156a0d

Observation 212a952f-007f-4c33-8674-4ff3d15d9ff7 · outbound

This paper cites Mmbench: Is your multi-modal model an all-around player? InECCV, pages 216–233.

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

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raw_fallback, observed 2026-05-14T14:41:24.017783Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:f464aedda7da0b9f08a7eac3c6c3f01ba43c7174bd8f89621cc4a52079fe9846

Observation 8bca9f29-8a05-402c-8f78-509a653f9ef3 · outbound

This paper cites PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models

Reference 32

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arxiv_id, observed 2026-05-11T04:00:56.154282Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:18b0af2de7e9b86fa8667ae0adee64b585734e99f8553c201021c3ee45c826b8

Observation da9c2654-6282-46ba-8411-85e4cc3c3bfb · outbound

This paper cites Kimi K2.5.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Kimi K2.5

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.030261Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:2271165577308f16568045ea1255f401e0f133d5555a3077f46f868d194d45aa

Observation ee7a8630-59e3-43cc-8c0d-d7c54aaa95c9 · outbound

This paper cites Introducing gpt-5.4.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Introducing gpt-5.4

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.158464Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:a5ef3f4bcd023057987164d762e49858c5fdf244755f47e6f2b67935ce7145ce

Observation fa9db29b-69cc-44e5-a53a-a09c1b50c8ae · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Bleu: a method for automatic evaluation of machine translation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.142418Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:3e83f227b17892b5d03d1078539529eac1eda475f6b5f822196179fbb784b7e8

Observation 7e60118e-c248-461e-906e-b65e02cc98a4 · outbound

This paper cites Hyperspectral remote sensing in lithological mapping, mineral exploration, and environmental geology: an updated review.Journal of Applied Remote Sensing, (3):031501–031501.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.061663Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:11f121d2bab7db0d85dd456374292848b91f936ffcc6709c0b064c602885531a

Observation 74982355-de67-45d6-9af1-433b40506eb4 · outbound

This paper cites Picabench: How far are we from physically realistic image editing?.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Picabench: How far are we from physically realistic image editing?

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:00:56.146211Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:8381c5da676e79eeb2644b0703effffee718552350142bc5466ccc89356a3563

Observation d53521ff-110a-4491-a1b1-c82fe9ed8eac · outbound

This paper cites Learning transferable visual models from natural language supervision.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Learning transferable visual models from natural language supervision

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.111412Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:1f580e05e4f4c10cbe1b0881a88dd92158ff09b78e1cfcbd83ffa8f19abfc8d1

Observation 5852b4e6-81f6-471a-b685-9bd0778596af · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.095372Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:d4c57a2dce718719bae268f084601ee17cf97224b1c1c07fb962fb12c29a2599

Observation aa6ea68a-e4c8-4915-b1aa-84ebd9ba263b · outbound

This paper cites 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.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.032390Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:00785bc520102eb7dd213a6133969820cff701d02647494079c466cbbb53a50b

Observation f270d345-50df-4101-b49f-7c80ec2a2b15 · outbound

This paper cites Samrs: Scaling-up remote sensing segmentation dataset with segment anything model.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Samrs: Scaling-up remote sensing segmentation dataset with segment anything model

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.040741Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:3cf88c9044262710ed20919bb8f1fa594f53b5926f102299d6f61571db32c371

Observation abe27f2d-3623-4795-9f7d-75945c34d13d · outbound

This paper cites Earthvqa: Towards queryable earth via relational reasoning-based remote sensing visual question answering.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.044708Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:ef580e1a26b0772e27ad9ba284f4987970d39f1f63d5b7925ced80b7180eab6e

Observation 0a0b0d6f-9527-487d-9bb1-4488493a2ac6 · outbound

This paper cites InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-11T04:00:56.134811Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:84493189370f51ad4818804e387dbd139cb08fbd0d136ed0822c03a4d4db52cf

Observation c807bf9f-cf2f-4f99-bd71-ba13f15edc34 · outbound

This paper cites Grok 4 Model Card.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Grok 4 Model Card

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.068197Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:05e961eefbf58c64a5317af42d011e9214816873d891e0e7a49c603921585ea5

Observation d3a89af3-c906-48a7-b9fe-7f1124bd42ac · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 46

Resolution
parse uncertain
raw_fallback, observed 2026-05-14T14:41:24.051310Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:747d090bf1d38f45487477fffc30f35490657454bf2e312a59fa87066776b5f0

Observation 7354a6d2-c1ec-4b19-b6a3-2688e72ce76b · outbound

This paper cites Openearthmap: A benchmark dataset for global high-resolution land cover mapping.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Openearthmap: A benchmark dataset for global high-resolution land cover mapping

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.120832Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:11b1b4cf5ed5bd2d37f166a05cfef382d5ca9de19a4cb1e2cda42f7848ac7f57

Observation 6f575ded-75fb-40dd-8714-e294cccafc57 · outbound

This paper cites C- pack: Packed resources for general chinese embeddings.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation C- pack: Packed resources for general chinese embeddings

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.123149Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:9eccf74a8453cfb61bce4f4d8cc5e216af5df18de7f16be4c2860292e40f17d5

Observation 97039f5c-4b43-4f09-9445-1489de8725e1 · outbound

This paper cites Assessment of worldview-3 data for lithological mapping.Remote Sensing, (11):1132.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Assessment of worldview-3 data for lithological mapping.Remote Sensing, (11):1132

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.056238Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:9d2a8c71b839fe5bd84014f88b5f0e7bb1453fa96a39016d8bcc2df9e35b60ec

Observation eab976d1-0442-4682-9624-e06795065449 · outbound

This paper cites MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:54:12.369348Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:7d768d6f708f4ae859b0dafa22cf93b16f2adf4db518d64ea2eac995957c8369

Observation 69de8e19-1eec-4bd4-b792-fcc178ad6347 · outbound

This paper cites Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.007462Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:daea7fa0805e75dcfbb3a025511a979685ef10a89d6fd49dfdcf05d8ab88e303

Observation 6b71b3bc-b187-4b8e-a2e0-6abc38cc32af · outbound

This paper cites GLM-4.6V.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation GLM-4.6V

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.023396Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:a5e222e3cd740ae81f965dde3a7ac3b4d4942f859d6ec842167c10d2fe128f4a

Observation 707b5674-8ce8-4150-bdc2-f7010b1343de · outbound

This paper cites 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.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.154732Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:1b4850e41b789ad5b29cc95efa4c401e5fb5ac5b18413b3c0b8e1ec80eec4af1

Observation 72f056a1-c043-40d5-8d81-d97a43d2c51e · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.091863Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:64e2b9b77cd42e5dd4ed344d4fbd94a743d29eab9fde8bc829b7e8fdf9af69c4

Observation cfac302c-f594-4916-b5ac-446c1d7db96e · outbound

This paper cites Large multimodal models evaluation: a survey.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Large multimodal models evaluation: a survey

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.086651Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:047c7fc3a15ce32b185bdff64f995bd2fedc04cd39e192e93eb50db97bf6a189

Observation b2924c12-f9fb-4924-8a95-3970ab8df4b7 · outbound

This paper cites Msearth: A benchmark for multimodal scientific comprehension of earth science.arXiv e-prints, pages arXiv–2505.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:23.992537Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:5313cfc77be7c10f85ee153738684283f2aed41b988880d1b09c2d9d753a7284

Observation 2dfd2bab-10f3-4ae1-bf16-b3b7c7584d6b · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.019862Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:270b4e09f6d77d51ab122d26a79341b7df6799ace22dfa2a3eb7e4cd13f33e41

Observation 97e57485-62bd-4bf7-8ac2-38ac49b8d98c · outbound

This paper cites Rsvlm- qa: A benchmark dataset for remote sensing vision language model-based question answering.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.105637Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:7b1e712c2c19f73b877a48f7c1e7b7cab659f6e2f51cb3a9367a12e94a985f16

Observation a935e54a-170e-4888-a008-1eec4165dff9 · outbound

This paper cites Intern-s1-pro: Scientific multimodal foundation model at trillion scale.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Intern-s1-pro: Scientific multimodal foundation model at trillion scale

Reference 59

Resolution
malformed identifier
arxiv_id, observed 2026-05-11T04:00:56.130461Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:17ccbfcd210d4c5f62fe1ae5000b3aa81261f8767e6f2f7ecf85f6035ad9f6dd

Observation 6957f013-4534-4662-b23d-2d1a37aafa76 · outbound

This paper cites You are STRICTLY FORBIDDEN from using <think> tags.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation You are STRICTLY FORBIDDEN from using <think> tags

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:23.996792Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:fa1d82223c581e65304d5aa225035ab063a87b19a4216a8a1472acdc16a7ee04

Observation b89091c2-dadc-4638-9c05-7c33559f90c3 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.003986Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:2727e2d8c874c3353c0a86e54c2668ca5b56e56a171097db021c7fef158fcaca

Observation 93e2d024-cd32-4881-b03c-4d2493f9be42 · outbound

This paper cites Tone_Color.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Tone_Color

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.078640Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:d47f9e6fa4a5a17852807a46c81c133f0e9bcbc7de8773ad3ae8f7b052dabd5a

Observation 3be8cd77-6167-4c82-817c-86f2950b7dc1 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.035772Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:33ca76a469a296d842def29b7db410c73478f0c5f1990d3d76884c0aa9b8caa0

Observation 70d84ccf-022d-43d6-aeb5-f46ab404c56a · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.000653Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:9352811f7a3d30a5cd40faba73a15332b7aedfff388c11b579e5d0213fb89b05

Observation a3a452fd-0f62-423c-957e-24281a3573fb · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.038956Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:949ad892e6862f8e399020bf313d1575b0a2e365f2b83b838cc4324cd36d282d

Observation 99288277-91af-4f75-bb7f-336528c5221d · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.147567Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:35f6bed2cdd3983c70bd16d82ad5276241f223c141243cd0a486f7969e1b4fae

Observation ccfa0b4c-e17a-4ef8-a53c-52488ef9f125 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.114958Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:5bd977d19fbc0ebdb002a276311548c4ededb3ca715cda2f6c3f6ec3455c8ccf

Observation 5e4edad9-f287-4393-ac99-c717809cefa5 · outbound

This paper cites top−left.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation top−left

Reference 68

Resolution
verified fuzzy
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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.

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Observation d22b85a9-bf20-412c-b318-1bea452a4ce2 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.093527Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:689346800c76443c22b48059463144cca6ba5b1a111d3793d6b3ce3b22cdc559

Observation 6a9471db-7839-4af4-ab5b-c1652e876264 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.119055Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:49dba32f66ee33d09354b9102fd2b50d3f593322423d37ef7a2d5f9b39650eff

Observation 8ad82efd-a994-4e5d-b9e9-46bbcd221ba2 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.081774Z

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.

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Observation bcd6a700-c27a-4729-b366-e36e0257a528 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.005687Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:d82e4a3759c20ec925bb396e1202692cadff8423be1364c6450c8faa2c16aa55

Observation 06253e33-0cbc-473a-866e-90222653c996 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.149241Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:b249cd845b23e8dc63c354bedf4b94a1b9cc557d9f1bf827a0e50aee89154a6b

Observation 282ad29c-3b4c-4658-b6eb-678e4c3163aa · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.145926Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:9ea8b67aecdc9f3e7374ce28de117bd907f6b3f728f4615d4bed1967d0020f37

Observation 01483417-d109-45d6-a664-6c4c7b05dd8c · outbound

This paper cites No markdown.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation No markdown

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.160166Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:98e695f9f44bebd6809349e18bd26f75fcf65b52b3e05b8cfd2b10e94381ec97

Observation 787df7dc-1d29-4e06-83b0-6ef296a958c6 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.088449Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:02d2da1849610075d893d7a71ca8099137e9d79241aaedf8a53282a9fbcc637c

Observation 51cbc187-3ef8-46e2-8177-3d7e12bcbe8e · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.080154Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:d993ba3af724094505aec918689a7bb6fba991dbd4942baaa081599f7f0eaca7

Observation 17baa2fb-4e63-4bf4-b3a2-1bd5aacac66f · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.131460Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:c8d42dabd62bcfb74cc009f67d4632dc25b3b1f59fdc43f598501e2b754b0cf1

Observation a75ad286-2f83-4666-9477-49a154687545 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.129808Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:e676dc50bba82ea2cfc61abab535636a9d6e64a36bb7ff9bd47f8b7d64afa58e

Observation ae3574c5-bcfa-460c-8e38-e08beb09f3c9 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.066491Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:4c086ca855a990844ac4692be5533b8ee26f6971fbce1782802e0a49ce4195d9

Observation db6257c3-da2e-402a-a632-d6344c87086e · outbound

This paper cites question.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation question

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.135193Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:6119b6baf085db0ccfbc751193348d38036ee6899821b7f1ff8cbac4fffb3659

Observation 3a003156-d09a-48c2-80f6-acee2f9881f8 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.133099Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:571d651ed031c205e6ee56446bd696a54625be81a5d19ec47ea79b743f51eaa4

Observation 87633c4b-b80a-466a-99b3-81fbc9ea6b6c · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.138640Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:ffe527364db0ab458b17821485ca279d978641d80714615e2d5590947299725c

Observation b0883faf-aea4-4a4f-b407-f27908e1f6b2 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.071621Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:98dc433e1fc3c913501d84dc3c7ce0e0818b363e6be4ca283f59de57b6f9ce8f

Observation 90174674-f688-4dda-ba0d-b07263528321 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.126608Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:5b594531aa9e48ce0ba67728e09e93eccea4b957f628ee1428ea76b2869e53fa

Observation d81f23bd-7884-4cff-82ca-8941f86d6020 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.128182Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:a10b62b111f7eb72c35541b07cce7f07afce118c311c1f4ef2b561d67960ecf3

Observation b97bbc52-f93e-4ff5-bab5-2eb5a8ec52b7 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.140343Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:47574dabb488a51080e3c96e408a3062423c343883d6a6846bfb56168fe9b19f

Observation dfc474ea-16ed-4f59-a067-4bfbe45e4c57 · outbound

This paper cites No markdown.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation No markdown

Reference 88

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:f6440796db4f6c356129512064dc5f8adfb976d42f08588f1fffa6fe9f23e636

Observation c6772275-d7f8-47e5-9bbc-52b4f224b846 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 89

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.124894Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:7db4adedea6617a70e902c2691180df269d5ed2af8f8b852c02ccc92efcebbb8

Observation 822c5dd0-a0a4-4554-8d8b-2237624ecb9b · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.063226Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:6e2e2239a29dacc9868430b105abf1de4f601bb737762198a330a9184efd998d

Observation 8b338129-16d0-45fe-9836-0f4f1334e4b0 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 91

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.144181Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:51a988c88e2361a16f61dcd0caf4c762e4c442d1b75bac28631c53c145ae7ef2

Observation 669bf717-c68f-4164-806c-085fa808f4d7 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 92

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.168378Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:7b5674673d5fcda72441641325095825fb7d438929d0d24d3eae1a0f2ab5684b

Observation ab7eb4eb-041f-4d7e-9a06-3b90382711ba · outbound

This paper cites question.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation question

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.059814Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:1ebc176bbe4fded865e41bd9eb3954efc4d4b860563abb5f0399c957c61bc531

Observation 38f642f1-d28c-41aa-a5ef-c9a55046c787 · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 94

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.052905Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:e23dae516cd0805fd3c92e3a8471b26acbc1b8d782174166c434f9f564cccb52

Observation 0bfbcee4-a1df-4177-8007-9464cea2137d · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 95

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.109375Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:497795517bf22cd83268294cde1d6f6ac74f1df8305c28cc831414362e5852bb

Observation c58d7537-2c96-4f04-9d42-a55748c70feb · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 96

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.054466Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:93bc7791a9a7a1a8143b19ad5e7bbbf65930648b0ad35c8620bdb56b9ff6b4d8

Observation 929864c6-6939-45ab-9dc3-ac9fed62031d · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 97

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.156475Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:ecd82122e60f85af0b11156970da155aee224e45a59542cb61e717e8fd1686c6

Observation f3865f4b-837b-48f5-acdd-7ef86985657a · outbound

This paper cites an unresolved cited work.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Unresolved cited work

Reference 98

Resolution
unresolved
raw_fallback, observed 2026-05-14T14:41:24.136919Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:480a98e1acade8aa427875d43b3a826be0f587fecb24de042104765a90aa1b73

Observation 1dadf41b-110f-48e0-b9ac-c758e3063f6a · outbound

This paper cites Evaluate whether the incorrect options are plausible, domain−relevant, and sufficiently challenging.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Evaluate whether the incorrect options are plausible, domain−relevant, and sufficiently challenging

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.073513Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:fa837810925feeb020acdb770a4ab965309a0b1203319a5d3a73881eeea1b24b

Observation 1321e2ef-0b29-48e8-ac7a-c6b074b4d5c0 · outbound

This paper cites Penalize shallow, generic, weakly justified, or weakly image−grounded analysis.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation Penalize shallow, generic, weakly justified, or weakly image−grounded analysis

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.016145Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:13e90b192dd39602f6c89c1b9a01180b3582dc28f93ac239ac885916b07503ec

Observation b9e20d68-ef74-4b83-a6d2-2d9ca4a15ba0 · outbound

This paper cites This score should be discriminative and suitable for ranking.

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation This score should be discriminative and suitable for ranking

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T14:41:24.021643Z

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.

source=pdf_text observed=2026-05-11T02:01:00.882673Z digest=sha256:d195696474256c17570849dce44b5666d7ef115cc4076e683bd29035707914a4

Pith citing papers

No inbound Pith citation observations are available.