Paper Citation Record · LEDGER

Checkmate: interpretable and explainable RSVQA is the endgame

As of 23 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2508.13086.

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

pith.paper-citation-record.v1
2508.13086 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:23:48.707107Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T18:17:35.846352Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:46:31.959600Z

Reference resolution

37 of 37 outbound references displayed

verified exact0
verified fuzzy27
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b02a4269-32f6-4a01-a745-33fa81aceb9f · outbound

This paper cites Visual question answering from remote sensing images.

Checkmate: interpretable and explainable RSVQA is the endgame Visual question answering from remote sensing images

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:49.143155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation efd45e3e-1335-43d1-ad93-cd2bae0b55ee · outbound

This paper cites Evaluating Language Biases in Remote Sensing VQA.

Checkmate: interpretable and explainable RSVQA is the endgame Evaluating Language Biases in Remote Sensing VQA

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:49.131954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 163559f2-e125-4291-9ca3-6653b6608db3 · outbound

This paper cites Explaining explanations: An overview of interpretability of machine learning.

Checkmate: interpretable and explainable RSVQA is the endgame Explaining explanations: An overview of interpretability of machine learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:49.120191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cbd18db6-3ab1-4299-a8d7-110a5a8e3245 · outbound

This paper cites How explainability contributes to trust in AI.

Checkmate: interpretable and explainable RSVQA is the endgame How explainability contributes to trust in AI

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:49.109090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 893340c7-4c14-467f-a8cc-0b8a3b2fee62 · outbound

This paper cites VQA: Visual Question Answering.

Checkmate: interpretable and explainable RSVQA is the endgame VQA: Visual Question Answering

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:49.097871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0fd1f29b-0b6f-46e9-aeee-010eabfeb787 · outbound

This paper cites Cross-modal visual question answering for remote sensing data: The international conference on digital image computing: Techniques and applications (DICTA 2021).

Checkmate: interpretable and explainable RSVQA is the endgame Cross-modal visual question answering for remote sensing data: The international conference on digital image computing: Techniques and applications (DICTA 2021)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:49.086917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2c317f87-e532-464c-9196-6faeb6342a1f · outbound

This paper cites Mutual attention inception network for remote sensing visual question answering.

Checkmate: interpretable and explainable RSVQA is the endgame Mutual attention inception network for remote sensing visual question answering

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:49.075304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5e97d8e5-3e48-43e0-bdaf-e59b4d508f5b · outbound

This paper cites Lit-4-rsvqa: Lightweight transformer-based visual question answering in remote sensing.

Checkmate: interpretable and explainable RSVQA is the endgame Lit-4-rsvqa: Lightweight transformer-based visual question answering in remote sensing

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:49.063982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cd201ad4-86eb-4252-9d3a-fc4f9ad7b8ec · outbound

This paper cites TinyBERT: Distilling BERT for Natural Language Understanding.

Checkmate: interpretable and explainable RSVQA is the endgame TinyBERT: Distilling BERT for Natural Language Understanding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T17:23:48.599482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d80f6b73-b02c-40f9-96a3-4bed06ddcae3 · outbound

This paper cites Multi-modal fusion transformer for visual question answering in remote sensing.

Checkmate: interpretable and explainable RSVQA is the endgame Multi-modal fusion transformer for visual question answering in remote sensing

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:49.052498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 818af835-d530-4fd4-a403-f7614200bb25 · outbound

This paper cites Remote sensing chatgpt: Solving remote sensing tasks with chatgpt and visual models.

Checkmate: interpretable and explainable RSVQA is the endgame Remote sensing chatgpt: Solving remote sensing tasks with chatgpt and visual models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:49.042085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6fb4ee94-8ec8-40b6-b3a8-7fc276fc24df · outbound

This paper cites Multilingual augmentation for robust visual question answering in remote sensing images.

Checkmate: interpretable and explainable RSVQA is the endgame Multilingual augmentation for robust visual question answering in remote sensing images

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:49.031655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 773878c6-b0d5-4456-aaf4-688a33a3f6af · outbound

This paper cites LLM-Driven Data Augmentation for Visual Question Answering.

Checkmate: interpretable and explainable RSVQA is the endgame LLM-Driven Data Augmentation for Visual Question Answering

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:49.019587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e03bc5f9-69c8-4319-9c8b-6bbc3398d8b8 · outbound

This paper cites RSVQA meets BigEarthNet: a new, large-scale, visual question answering dataset for remote sensing.

Checkmate: interpretable and explainable RSVQA is the endgame RSVQA meets BigEarthNet: a new, large-scale, visual question answering dataset for remote sensing

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:49.008954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5952809f-1bae-40c3-be94-ae2372c1aa44 · outbound

This paper cites Floodnet: A high resolution aerial imagery dataset for post flood scene understanding.

Checkmate: interpretable and explainable RSVQA is the endgame Floodnet: A high resolution aerial imagery dataset for post flood scene understanding

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:48.997905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 46ca36b4-e993-4d22-9183-9e8cf9a73c5a · outbound

This paper cites Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.

Checkmate: interpretable and explainable RSVQA is the endgame Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:48.987228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ecba75bd-31e3-4793-8b85-9f3ccea42777 · outbound

This paper cites Interpretability and Explainability: A Machine Learning Zoo Mini-tour.

Checkmate: interpretable and explainable RSVQA is the endgame Interpretability and Explainability: A Machine Learning Zoo Mini-tour

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T17:23:48.629009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8af74549-4a1a-4e14-919d-ffedfae59382 · outbound

This paper cites Prompt-RSVQA: Prompting visual context to a language model for remote sensing visual question answering.

Checkmate: interpretable and explainable RSVQA is the endgame Prompt-RSVQA: Prompting visual context to a language model for remote sensing visual question answering

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:48.976053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 28d318a0-74f0-4cab-ac70-9b89dc3bcd56 · outbound

This paper cites SAR Strikes Back: A New Hope for RSVQA.

Checkmate: interpretable and explainable RSVQA is the endgame SAR Strikes Back: A New Hope for RSVQA

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:48.963169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dae4a376-157e-4b13-97a4-5c8b56e9c056 · outbound

This paper cites Segmentation-guided attention for visual question answering from remote sensing images.

Checkmate: interpretable and explainable RSVQA is the endgame Segmentation-guided attention for visual question answering from remote sensing images

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:48.952730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 46550b00-46b9-474e-a3b2-170f2047ba36 · outbound

This paper cites Hierarchical Multi-Modality Graph Reasoning for Remote Sensing Visual Question Answering.

Checkmate: interpretable and explainable RSVQA is the endgame Hierarchical Multi-Modality Graph Reasoning for Remote Sensing Visual Question Answering

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:48.941636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 99fbc371-19d1-4a2c-a2a9-61604f2f2a05 · outbound

This paper cites PAN-RSVQA: Vision Foundation Models as Pseudo-ANnotators for Remote Sensing Visual Question Answering.

Checkmate: interpretable and explainable RSVQA is the endgame PAN-RSVQA: Vision Foundation Models as Pseudo-ANnotators for Remote Sensing Visual Question Answering

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:48.930455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4c1c8b59-e088-432a-bde1-d575e70edc94 · outbound

This paper cites Rsadapter: Adapting multimodal models for remote sensing visual question answering.

Checkmate: interpretable and explainable RSVQA is the endgame Rsadapter: Adapting multimodal models for remote sensing visual question answering

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:48.918856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1798afb2-6844-46be-8c81-4e709f507094 · outbound

This paper cites GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis.

Checkmate: interpretable and explainable RSVQA is the endgame GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T17:23:48.655633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae636096-3d1c-4447-9143-87616fc9e7d1 · outbound

This paper cites reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis.

Checkmate: interpretable and explainable RSVQA is the endgame reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T17:23:48.660097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46b7388d-5eb0-4784-a0fb-476fed14adb8 · outbound

This paper cites Bigearthnet: A large-scale benchmark archive for remote sensing image understanding.

Checkmate: interpretable and explainable RSVQA is the endgame Bigearthnet: A large-scale benchmark archive for remote sensing image understanding

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:48.907011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a5709a32-9150-4d09-ad05-7c26e4125f8f · outbound

This paper cites U-NET: Convolutional networks for biomedical image segmentation.

Checkmate: interpretable and explainable RSVQA is the endgame U-NET: Convolutional networks for biomedical image segmentation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:48.895329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e88d718d-9cba-4fe2-905d-44f5d65eff94 · outbound

This paper cites SegFormer: Simple and efficient design for semantic segmentation with transformers.

Checkmate: interpretable and explainable RSVQA is the endgame SegFormer: Simple and efficient design for semantic segmentation with transformers

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:48.884072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d78399a2-e0ef-4b43-866e-1e2b460509a0 · outbound

This paper cites Neural plasticity-inspired foundation model for observing the Earth crossing modalities.

Checkmate: interpretable and explainable RSVQA is the endgame Neural plasticity-inspired foundation model for observing the Earth crossing modalities

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:48.870862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 901602a9-8de7-4d9b-9976-6dff1f4039b5 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Checkmate: interpretable and explainable RSVQA is the endgame DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T17:23:48.678798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94155735-f5ac-40a6-b998-0c1512fbea4c · outbound

This paper cites VisualBERT: A Simple and Performant Baseline for Vision and Language.

Checkmate: interpretable and explainable RSVQA is the endgame VisualBERT: A Simple and Performant Baseline for Vision and Language

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T17:23:48.683367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f781e010-5303-4b66-a058-ef523c4df6ed · outbound

This paper cites VL-BERT: Pre-training of Generic Visual-Linguistic Representations.

Checkmate: interpretable and explainable RSVQA is the endgame VL-BERT: Pre-training of Generic Visual-Linguistic Representations

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T17:23:48.688099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f3e5399-36ec-4c58-9f27-a05bd7537b1d · outbound

This paper cites PERS: Parameter-Efficient Multi-modal Transfer Learning for Remote Sensing Visual Question Answering.

Checkmate: interpretable and explainable RSVQA is the endgame PERS: Parameter-Efficient Multi-modal Transfer Learning for Remote Sensing Visual Question Answering

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:48.858062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4540690c-5031-40e5-8616-54a57bd47a41 · outbound

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

Checkmate: interpretable and explainable RSVQA is the endgame An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T17:23:48.695833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1f4fd9a-cf72-4318-95de-2e69824250d9 · outbound

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

Checkmate: interpretable and explainable RSVQA is the endgame BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T17:23:48.699751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08ece49e-67bd-46f9-b80b-9efab73e00f2 · outbound

This paper cites Visual Question Answering on Multiple Remote Sensing Image Modalities.

Checkmate: interpretable and explainable RSVQA is the endgame Visual Question Answering on Multiple Remote Sensing Image Modalities

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:23:48.846031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation adf75281-e65c-45f8-b011-691e3948b37f · outbound

This paper cites OpenEarthMap-SAR: A Benchmark Synthetic Aperture Radar Dataset for Global High-Resolution Land Cover Mapping.

Checkmate: interpretable and explainable RSVQA is the endgame OpenEarthMap-SAR: A Benchmark Synthetic Aperture Radar Dataset for Global High-Resolution Land Cover Mapping

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T17:23:48.707107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d9d0a302-4055-4933-b9e7-6362b079ca22 · inbound

Sentinel2Cap: A Human-Annotated Benchmark Dataset for Multimodal Remote Sensing Image Captioning cites this paper.

Sentinel2Cap: A Human-Annotated Benchmark Dataset for Multimodal Remote Sensing Image Captioning Checkmate: interpretable and explainable RSVQA is the endgame

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:46:31.962874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.