Paper Citation Record · LEDGER

SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation

As of 14 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 3 inbound Pith citation observations for arXiv:2502.08168.

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

pith.paper-citation-record.v1
2502.08168 v5

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:14:30.169777Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T20:58:23.547519Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

15 of 15 outbound references displayed

verified exact0
verified fuzzy2
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 2a472a32-422a-491b-89b2-53790077e6c2 · outbound

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

SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation Yi: Open Foundation Models by 01.AI

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T10:14:30.157778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e497a2f-7f7b-4020-a666-7df7f524aa32 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T10:14:30.118925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e269828-1cae-4364-b35a-ebeea271ab05 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T10:14:30.130625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52a68107-ddfe-483d-9ca3-3aee66aa6a90 · outbound

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

SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation RSGPT: A Remote Sensing Vision Language Model and Benchmark

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T10:14:30.133950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf1cb526-116f-46d0-a352-9599ec24b3ae · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T10:14:30.137851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67a22757-eed6-407a-85d8-4345e6b663af · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T10:14:30.149597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c56a11df-3d31-45c9-b7a8-d6a96129c54f · outbound

This paper cites mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models.

SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T10:14:30.153670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa0362de-a22c-4cf2-ae12-87a6f824ef4f · outbound

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

SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T10:14:30.165818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45149a5f-0920-4de7-8168-ae75e20d095f · outbound

This paper cites SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning.

SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T10:14:30.169777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e33d852e-39d9-48f9-bb7c-82ad09036460 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing , 56(4):2183–2195.

SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation IEEE Transactions on Geoscience and Remote Sensing , 56(4):2183–2195

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:14:30.356652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 39b29885-43f7-452f-868f-85a333a61aac · outbound

This paper cites In IGARSS 2019-2019 IEEE International 10 Geoscience and Remote Sensing Symposium , pages 5901–5904.

SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation In IGARSS 2019-2019 IEEE International 10 Geoscience and Remote Sensing Symposium , pages 5901–5904

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:14:30.347355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fd4068d0-53de-4ff9-a3e8-b0ac711a94d9 · outbound

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

SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-08T10:14:30.126970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8827234e-7c7a-47e6-abe5-f09d1766d56f · outbound

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

SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T10:14:30.161567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d55e7eb-66a4-45eb-8041-384b439028c7 · outbound

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

SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T10:14:30.122842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4235af41-ea2d-4c23-a5dd-ae0a38b34f70 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T10:14:30.114591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 672ac5de-67e8-4e57-9766-4edc52e0a402 · 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 SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-21T21:00:39.059323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 98bebf92-e949-40c0-b173-f2d882dee9a3 · inbound

GeoMeld: Toward Semantically Grounded Foundation Models for Remote Sensing cites this paper.

GeoMeld: Toward Semantically Grounded Foundation Models for Remote Sensing SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:56:01.624358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e0e82b1d-07ee-4056-93bb-e9ba319d6416 · inbound

Geospatial-Temporal Sensemaking of Remote Sensing Activity Detections with Multimodal Large Language Model cites this paper.

Geospatial-Temporal Sensemaking of Remote Sensing Activity Detections with Multimodal Large Language Model SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:36:21.065867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.