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Paper Citation Record · LEDGER

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation

As of 8 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 5 inbound Pith citation observations for arXiv:2507.16716.

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

pith.paper-citation-record.v1
2507.16716 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:07:36.719119Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:21:05.683216Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:27:39.981179Z

Reference resolution

69 of 69 outbound references displayed

  • verified exact3
  • verified fuzzy19
  • unresolved47
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e2806d67-64b6-4911-81da-35e16fd7a72c · outbound

This paper cites Radford, J.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Radford, J

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3019f3c6-92bd-4dd9-a3ef-3dcb089ff482 · outbound

This paper cites an unresolved cited work.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a9d6ab1f-8d29-4de2-b802-510eeafda76c · outbound

This paper cites Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm

Reference 3

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Observation 7a8c014c-382e-43f9-951c-22a96bef6602 · outbound

This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation EVA-CLIP: Improved Training Techniques for CLIP at Scale

Reference 4

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source=pdf_text observed=2026-08-06T15:07:31.303382Z digest=sha256:cd99f72c7f8cd984893e735533c2b550f59f553eb4cbe0dae13427fb9322d966

Observation 8c9ccf41-81f7-442a-9f57-cce6a39ec905 · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:07:31.391534Z digest=sha256:10c6a884e0b2a27905388a5a1dc233165bc81fd42265f473aa50819c22a2b923

Observation 29d824d2-72f4-4880-abf4-379da2137c6a · outbound

This paper cites an unresolved cited work.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f31d2c5d-d876-4a47-aeca-499d7dd1d79a · outbound

This paper cites Open-vocabulary Object Detection via Vision and Language Knowledge Distillation.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

Reference 7

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Unavailable: canonical work link unavailable.

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Observation 4b2d807e-fe8f-405d-9432-e9dd4bc960fb · outbound

This paper cites VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding

Reference 8

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Observation b8b641c1-5144-4cb4-8d91-4ff30c4b3e16 · outbound

This paper cites Guzhov, F.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Guzhov, F

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:07:31.721276Z digest=sha256:3091ffffaa96cc890971268d842797cdc112559bd22470b203516cfc87ed6cb3

Observation f41a9961-96eb-4c30-bea4-a2e3c3bb2ea1 · outbound

This paper cites Zhang, Z.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Zhang, Z

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation eef33338-2fcd-4956-a72c-68b423128418 · outbound

This paper cites an unresolved cited work.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Unresolved cited work

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:07:31.898431Z digest=sha256:98663ce697127d6bbd9aa3587cbceac45c281ae983f98ae4e2c04df49483ddf7

Observation a27b1289-e4f8-44f9-afb6-193e35d6becb · outbound

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

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 62e063e9-8e0c-4272-9650-6ab3f511cce6 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:07:32.081476Z digest=sha256:7c6da506ceb017110224cc0151b3831583bdfb645aeaa960cdc6950ec37699af

Observation 86f846a9-fb58-4047-9aa5-1a139a4bf6ec · outbound

This paper cites SemDeDup: Data-efficient learning at web-scale through semantic deduplication.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation SemDeDup: Data-efficient learning at web-scale through semantic deduplication

Reference 14

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no resolver link, observed 2026-08-06T15:07:32.156701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:07:32.156701Z digest=sha256:8684eab04e5ca8f306ea5d90b8bd01bb66d2e4eb1ad363bccb86135608d7cfa5

Observation c17bb975-54a7-435b-b4f1-2f0c2214e2f8 · outbound

This paper cites Doveh, A.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Doveh, A

Reference 15

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raw_fallback, observed 2026-08-06T15:07:44.134853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cb002f0b-3314-4303-bba3-99dd465ea32a · outbound

This paper cites Barham, A.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Barham, A

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:07:43.946085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cf3829c2-7d83-4951-9146-66ae920f309b · outbound

This paper cites an unresolved cited work.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 96ed866d-55eb-4ac4-99cf-8564ea5d0eea · outbound

This paper cites an unresolved cited work.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 110fd7b9-844a-4393-b313-32597c7dba4f · outbound

This paper cites RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b5e327e3-98ae-4d06-b3e6-8a9679e9e056 · outbound

This paper cites an unresolved cited work.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Unresolved cited work

Reference 20

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 93ce4775-1446-443f-9774-75b34a954438 · outbound

This paper cites Djoufack Basso, Clip-rs: A cross-modal remote sens- ing image retrieval based on clip, a northern virginia case study, Ph.D.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Djoufack Basso, Clip-rs: A cross-modal remote sens- ing image retrieval based on clip, a northern virginia case study, Ph.D

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7c77d13b-af35-40ef-a0f2-b47fa981f50a · outbound

This paper cites an unresolved cited work.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 88f2835b-5272-4196-83ea-6c24caab3b65 · outbound

This paper cites RSGPT: A Remote Sensing Vision Language Model and Benchmark.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation RSGPT: A Remote Sensing Vision Language Model and Benchmark

Reference 23

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Unavailable: canonical work link unavailable.

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Observation 8c20c456-09d7-4605-89a6-7cf0ff664e8d · outbound

This paper cites SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model

Reference 24

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:07:32.957953Z digest=sha256:fb22d9e89e96154843f1e7f133a5a5120bf9bc5a72258f6db2294a501871f6b6

Observation 7d6495d9-a38b-4755-bf58-d828f63d00dd · outbound

This paper cites Goyal, P.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Goyal, P

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 75051ead-b0f2-4a3d-b10d-a6e5699e43c4 · outbound

This paper cites an unresolved cited work.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Unresolved cited work

Reference 26

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raw_fallback, observed 2026-08-06T15:07:42.658881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 14586e91-342f-48d9-b683-c7e61f2fe498 · outbound

This paper cites Urbanek, F.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Urbanek, F

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:07:42.469658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 94e35f08-5ba2-4f15-b849-4ec187ca6933 · outbound

This paper cites an unresolved cited work.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Unresolved cited work

Reference 28

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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 2026-08-08T06:32:00.761636+00:00.

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Observation 954217d9-196f-4d2a-828e-636b4d65180f · outbound

This paper cites an unresolved cited work.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-06T15:07:42.160207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4f1da913-ba2d-4fa8-afa2-1e25e0606f2c · outbound

This paper cites ChatEarthNet: A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation Models.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation ChatEarthNet: A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation Models

Reference 30

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local_arxiv, observed 2026-08-06T15:07:37.894089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 76988e93-2368-47fa-97b6-1432262c3646 · outbound

This paper cites an unresolved cited work.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Unresolved cited work

Reference 31

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unresolved
raw_fallback, observed 2026-08-06T15:07:41.972271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0730433b-393e-4297-b842-fa15c1255689 · outbound

This paper cites Grubinger, P.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Grubinger, P

Reference 32

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raw_fallback, observed 2026-08-06T15:07:41.788871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ca173249-0ede-493f-8201-acbd3fa2336b · outbound

This paper cites Rashtchian, P.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Rashtchian, P

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-06T15:07:41.583558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:07:33.711589Z digest=sha256:71a3fcfa23d4f6649a60e2d39abf87c1c9e2d707fac1d77ca6a373c8d3fbafc8

Observation 4dd10b93-6818-4d88-b412-4d26a8dc9d43 · outbound

This paper cites Hodosh, P.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Hodosh, P

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:07:41.351780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7690a2dd-8e54-493a-be30-ff01d64a64b5 · outbound

This paper cites Young, A.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Young, A

Reference 35

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Observation 2589d916-88c9-4f7f-a76e-c7ba9a1a587c · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 36

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Observation c7edbe8a-a924-4ed8-8801-66eb9cabf258 · outbound

This paper cites Ordonez, G.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Ordonez, G

Reference 37

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Observation 347efc2a-5043-4014-90d9-01444e8d4ea2 · outbound

This paper cites Sharma, N.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Sharma, N

Reference 38

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source=pdf_text observed=2026-08-06T15:07:34.119137Z digest=sha256:0fb9e1d01f7c35ac5f2e0b7945a686e6e5c068d29a67e6c41f6e1e43b6af9313

Observation 3663b2d3-f848-425a-8d24-f0108e5604e6 · outbound

This paper cites Florence: A New Foundation Model for Computer Vision.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Florence: A New Foundation Model for Computer Vision

Reference 39

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source=pdf_text observed=2026-08-06T15:07:34.209867Z digest=sha256:39dd65db9c0b1e7b033ad74a2c3f8564fd007a3c3efd5007d4b8b960f2244b7a

Observation ea14d85b-de72-45ec-824f-dfb1eaa81fff · outbound

This paper cites LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment

Reference 40

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source=pdf_text observed=2026-08-06T15:07:34.268017Z digest=sha256:be46ba9869cdb3ddde30f5c9aee5cd985da1364c943637a37815fe6d11c41c02

Observation 0f8b4573-f24a-4936-861e-2e9dc61584a4 · outbound

This paper cites ShareGPT4V: Improving Large Multi-Modal Models with Better Captions.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

Reference 41

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source=pdf_text observed=2026-08-06T15:07:34.353853Z digest=sha256:f6844a0a82f8835c87ef89dc805f830ac33ffb99584db850661ef39bdcb2b868

Observation f9150fbb-f3d0-48f0-9122-1b6977b3fcc9 · outbound

This paper cites an unresolved cited work.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Unresolved cited work

Reference 42

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source=pdf_text observed=2026-08-06T15:07:34.448679Z digest=sha256:03bf4cc8e60a0cfbf0598d7b1243af27ba03e7ecfe87a029d3057aa573fc839e

Observation b37f7e74-1af2-4020-9195-a83a2d0ae509 · outbound

This paper cites Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval

Reference 43

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source=pdf_text observed=2026-08-06T15:07:34.529414Z digest=sha256:e3411c798f968177bbca2fe59f7e3bc3c29d74ffc183fd61f1796525e1c94a88

Observation c0ed3e2a-92e4-4056-ae62-e5c6c5d12642 · outbound

This paper cites Cheng, H.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Cheng, H

Reference 44

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:07:34.656706Z digest=sha256:0e35ec6f216dbeae25aeb50553f106384ab6ac4f697af7c1f9e0368b757e1b22

Observation 7c54aa3f-1e57-4b99-bbf6-69277fa249b5 · outbound

This paper cites From LAION-5B to LAION-EO: Filtering Billions of Images Using Anchor Datasets for Satellite Image Extraction.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation From LAION-5B to LAION-EO: Filtering Billions of Images Using Anchor Datasets for Satellite Image Extraction

Reference 45

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local_arxiv, observed 2026-08-06T15:07:37.430966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:07:34.741128Z digest=sha256:7e24c71a9ace38c64771d8d36eb3068d2276d4c089a30ce661f8ed4b9ca2cdeb

Observation ad146f19-99ca-4a85-a9be-d1e13d1ce6de · outbound

This paper cites Vaswani, Attention is all you need, Advances in Neural Information Processing Systems.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Vaswani, Attention is all you need, Advances in Neural Information Processing Systems

Reference 46

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:07:34.855746Z digest=sha256:c85578561c300cde5767e0226bc54f0013121dee81c5bd829557c9a47193ad95

Observation ce5d8fda-a3eb-44aa-a21f-d9c27bf9bf36 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation On the Opportunities and Risks of Foundation Models

Reference 47

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source=pdf_text observed=2026-08-06T15:07:34.944450Z digest=sha256:924b0e45cb96fab0d5c95c2a0a353c48b92463a2691f14d8d269d88904ff3362

Observation 0edfebda-9437-452a-a738-70c5ba6eb63c · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 48

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source=pdf_text observed=2026-08-06T15:07:35.003254Z digest=sha256:02c59a64beafd3d98c8df67a20801c491af24704f7fb30642667d46e49f5d688

Observation 95a7c317-bb1b-470a-be22-3c84feaae38b · outbound

This paper cites Raffel, N.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Raffel, N

Reference 49

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:07:35.047715Z digest=sha256:5336e1c45ca482603abb6039f4cb792a299447d969eaad4a50a19a663d3ab725

Observation 9036f220-3ec9-42fe-a5f3-fb951e80e1c7 · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 50

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source=pdf_text observed=2026-08-06T15:07:35.138206Z digest=sha256:79b7f8f7d8b179e879eaf68dc48c3242022fef855d124c4f152c54b39c7d73f6

Observation 13a0a87d-d211-492f-b574-f33bf80026b0 · outbound

This paper cites Radford, Improving language understanding by gen- erative pre-training.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Radford, Improving language understanding by gen- erative pre-training

Reference 51

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:07:35.206762Z digest=sha256:7cd2fa91b7eb72da2fca1a709fc9b5a12e45d55ccff2aab8153024a2d9fc941c

Observation 00b914e3-94a0-4e25-a2fa-376d44716be0 · outbound

This paper cites Radford, J.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Radford, J

Reference 52

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source=pdf_text observed=2026-08-06T15:07:35.298863Z digest=sha256:3e89bf04cb9bf3f716511ea824981e3933cda9ba6646f69335dc880307b71f67

Observation 2bf4641f-09ff-4f91-886b-8962dfa96c4a · outbound

This paper cites Language Models are Few-Shot Learners.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Language Models are Few-Shot Learners

Reference 53

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source=pdf_text observed=2026-08-06T15:07:35.371773Z digest=sha256:e4b6ef541802af6058065a8f1e8e862d7b6e0fc0b470e8d79438672ec5497f4e

Observation 398e7cd7-12fd-4477-af08-efd6b7fd90ad · outbound

This paper cites MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 55

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source=pdf_text observed=2026-08-06T15:07:35.467843Z digest=sha256:832c7c71483578a054e666a8d6eb7594b7ac578550085239e68b968fe0b545d3

Observation b6d4fc7f-e93a-4e2e-9602-8b056f547379 · outbound

This paper cites an unresolved cited work.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Unresolved cited work

Reference 56

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:07:35.505872Z digest=sha256:96f95d7f2d1b9a119d30f12041f3270975ed86d095bf75f549dd79f23dc0fbb0

Observation 14263db4-eec7-4caf-9ce0-ef05a3500b0d · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 57

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source=pdf_text observed=2026-08-06T15:07:35.541462Z digest=sha256:3234a14fc9a50854dff586e81c0cbcbb1a6c887f301c50f3a568ac02ebcd33fa

Observation 27730787-4906-434f-a67d-00eadcbbcd96 · outbound

This paper cites Huang, L.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Huang, L

Reference 58

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raw_fallback, observed 2026-08-06T15:07:39.546684Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:07:35.637520Z digest=sha256:eb282650cdc1b147b16ba0566ed7f875805814ecbe09e4fc2159cb0274316a72

Observation 65cd06ce-46b6-4ea5-b24f-43a937201175 · outbound

This paper cites an unresolved cited work.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Unresolved cited work

Reference 59

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source=pdf_text observed=2026-08-06T15:07:35.745952Z digest=sha256:578e7ca2a28db88f5412416e5e0c4a1ebc78364695b7f3a4b1faf980cb116f98

Observation ef783ec8-52f9-4678-8984-7b9c3610543a · outbound

This paper cites an unresolved cited work.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Unresolved cited work

Reference 60

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source=pdf_text observed=2026-08-06T15:07:35.827427Z digest=sha256:b38293907412dcf163b1584a540427d81ad72729365d4b8c94edb3eb02042779

Observation 47885ffc-c36c-42b6-ad61-9e60a70e8979 · outbound

This paper cites an unresolved cited work.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Unresolved cited work

Reference 61

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source=pdf_text observed=2026-08-06T15:07:35.944750Z digest=sha256:b6d45de3457af6650d4d06b633179b681e70df8275c9ccb42ce8dcc9bf17a3ce

Observation 368d043a-9dc6-4604-969f-68b8ace2ea1e · outbound

This paper cites GPT-4 Technical Report.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation GPT-4 Technical Report

Reference 62

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source=pdf_text observed=2026-08-06T15:07:36.055878Z digest=sha256:3f91c0c8bf3c593c8060b0573c883681bb0d70c06abb70f2ca3ccee3454e38b5

Observation 814d1c89-eee6-4521-ab8a-accee864e2d6 · outbound

This paper cites CogVLM: Visual Expert for Pretrained Language Models.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation CogVLM: Visual Expert for Pretrained Language Models

Reference 63

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source=pdf_text observed=2026-08-06T15:07:36.148470Z digest=sha256:73deebc8f2a19a8adde0b405b35026e1f42d17831a0bae250af851cd1bb20667

Observation b46f3ac1-96b7-4fa3-886b-e91bd2c935d9 · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Yi: Open Foundation Models by 01.AI

Reference 64

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source=pdf_text observed=2026-08-06T15:07:36.248721Z digest=sha256:ca271a4ad9292291ea58ce9ee0086ae35ed422b7dfd2d8f3aea6c46d2a5e4a1a

Observation 24495e67-8534-4999-827c-9f57de71b58b · outbound

This paper cites an unresolved cited work.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Unresolved cited work

Reference 65

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:07:36.326511Z digest=sha256:f1baa5f8bb18adbd56d304d13bdadd3acabab6f548788e5475f96dd51b96617a

Observation 933a4636-e22b-4520-bcc2-504e5720cc4b · outbound

This paper cites IC3: Image Captioning by Committee Consensus.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation IC3: Image Captioning by Committee Consensus

Reference 66

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local_arxiv, observed 2026-08-06T15:07:36.985958Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:07:36.419533Z digest=sha256:8aa7b1959f569d0a0bfcdc7fd478b8199c3c4adaa01ca9bca71743c368413e4d

Observation d6a2c483-0b6d-4c9e-a238-26af21359dc9 · outbound

This paper cites Teo, How i won singapore’s gpt-4 prompt engineering competition, Towards Data Science, Medium 29.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Teo, How i won singapore’s gpt-4 prompt engineering competition, Towards Data Science, Medium 29

Reference 67

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raw_fallback, observed 2026-08-06T15:07:38.655896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:07:36.508125Z digest=sha256:340d503dddb560affb6e65f4752e2aedc7c5423f5397693d124bdb35d8f3a6f9

Observation f5abce0b-faeb-4d1a-ae2a-ca7288474770 · outbound

This paper cites Decoupled Weight Decay Regularization.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Decoupled Weight Decay Regularization

Reference 68

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:07:36.579523Z digest=sha256:32be5f7db075e349fc520e3e2ea55af2e3b6feeb74a63f7d51e0acedd418cd24

Observation 15f6d0d4-241b-4c13-a9d6-8ef33aff7977 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Representation Learning with Contrastive Predictive Coding

Reference 69

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source=pdf_text observed=2026-08-06T15:07:36.669916Z digest=sha256:d97d92870799e515f858c7d4afcb3661e1d8248f37d26fc07d48bb86ea1aa523

Observation 171f3b2c-7076-45c6-a8c3-b5824cc7083b · outbound

This paper cites an unresolved cited work.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation Unresolved cited work

Reference 70

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:07:36.719119Z digest=sha256:b6b8e1695633d95baffafd50dcf126eaad0496bc09188193b0ab95a5869802d7

Pith citing papers

Observation ad87c5ab-c97f-485a-bc60-f317710a0b24 · inbound

SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery cites this paper.

SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:00:39.069199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a688868a-95e4-474c-af29-dc3b48572498 · inbound

Text-RSIR: A Text-Guided Framework for Efficient Remote Sensing Image Transmission and Reconstruction cites this paper.

Text-RSIR: A Text-Guided Framework for Efficient Remote Sensing Image Transmission and Reconstruction Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:02:44.850390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 845c2058-bf22-452e-9da9-5916dbfac331 · inbound

Earth-OneVision: Extending Remote Sensing Multimodal Large Language Models to More Sensor Modalities and Tasks cites this paper.

Earth-OneVision: Extending Remote Sensing Multimodal Large Language Models to More Sensor Modalities and Tasks Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:27:39.982689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 413cc070-4f9d-4d42-9fac-5912104cc4e3 · inbound

Promptable Concept Segmentation from Above: Evaluating SAM 3's Zero-Shot and One-Shot Capabilities in Remote Sensing cites this paper.

Promptable Concept Segmentation from Above: Evaluating SAM 3's Zero-Shot and One-Shot Capabilities in Remote Sensing Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-13T01:59:27.974045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T01:59:27.974045Z digest=sha256:88abec9013d6932d9bcf9cf095c1f6909cd07aabf41630409a29b745431a6274

Observation 4d2f9e03-9bd0-4dd7-937b-356e2d925030 · inbound

Multimodal Large Language Models for Remote Sensing Image Understanding: Domain-Specific or General-Purpose? cites this paper.

Multimodal Large Language Models for Remote Sensing Image Understanding: Domain-Specific or General-Purpose? Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation

Reference 120

Resolution
unresolved
no resolver link, observed 2026-08-01T10:21:05.683216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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