Paper Citation Record · LEDGER

Multi-Sourced Compositional Generalization in Visual Question Answering

As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2505.23045.

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

pith.paper-citation-record.v1
2505.23045 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:59:50.572037Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

30 of 30 outbound references displayed

verified exact0
verified fuzzy26
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b18421b8-bae5-4053-9afc-8cb321e7af05 · outbound

This paper cites Robust visual rea- soning via language guided neural module networks.

Multi-Sourced Compositional Generalization in Visual Question Answering Robust visual rea- soning via language guided neural module networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:55.251531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c0bd8e5b-352e-47f5-a67e-68d015b84a34 · outbound

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

Multi-Sourced Compositional Generalization in Visual Question Answering Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:47.776858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4a17059-f47e-4e7b-9d6a-569fd1894cda · outbound

This paper cites The paradox of the compositionality of natural language: A neural machine translation case study.

Multi-Sourced Compositional Generalization in Visual Question Answering The paradox of the compositionality of natural language: A neural machine translation case study

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:54.236317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8940b1cd-16e3-4832-ba82-3ad6cfdb8cb6 · outbound

This paper cites Compositional attention networks for machine reasoning.

Multi-Sourced Compositional Generalization in Visual Question Answering Compositional attention networks for machine reasoning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:53.562432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d3fdc2e3-c1cf-452e-aaf6-3180e7314be8 · outbound

This paper cites Gqa: A new dataset for real-world vi- sual reasoning and compositional question answering.

Multi-Sourced Compositional Generalization in Visual Question Answering Gqa: A new dataset for real-world vi- sual reasoning and compositional question answering

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:53.412975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c4eeb001-8e61-4eb1-b42a-54a8daf4f156 · outbound

This paper cites Overcoming language pri- ors in vqa via decomposed linguistic representations.

Multi-Sourced Compositional Generalization in Visual Question Answering Overcoming language pri- ors in vqa via decomposed linguistic representations

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:53.224012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 429d72f8-49df-476c-b1c1-620e3924c0a1 · outbound

This paper cites On compositional generalization of neural ma- chine translation.

Multi-Sourced Compositional Generalization in Visual Question Answering On compositional generalization of neural ma- chine translation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:52.930710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e0913540-94e4-4ec0-8459-a5a7560ddbf9 · outbound

This paper cites Compositional temporal ground- ing with structured variational cross-graph correspondence learning.

Multi-Sourced Compositional Generalization in Visual Question Answering Compositional temporal ground- ing with structured variational cross-graph correspondence learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:52.702855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eb087c05-4a06-4060-9124-558dca9fa6e8 · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

Multi-Sourced Compositional Generalization in Visual Question Answering BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:49.583802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 609bb895-7b91-4415-bb51-01fc2ece2c4d · outbound

This paper cites Improved baselines with visual instruction tuning,.

Multi-Sourced Compositional Generalization in Visual Question Answering Improved baselines with visual instruction tuning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:52.492842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1be7d0da-f113-40fc-8fcd-6961a2a70cac · outbound

This paper cites Overcoming language priors in visual question answering with cumulative learning strategy.Neurocom- puting, 608:128419,.

Multi-Sourced Compositional Generalization in Visual Question Answering Overcoming language priors in visual question answering with cumulative learning strategy.Neurocom- puting, 608:128419,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:52.339922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8451fc69-76bf-430f-9820-732a71aa2046 · outbound

This paper cites Learning graph embeddings for compositional zero-shot learning.

Multi-Sourced Compositional Generalization in Visual Question Answering Learning graph embeddings for compositional zero-shot learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:52.201847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5013e0f5-cae0-438c-aad6-ab0b066194e8 · outbound

This paper cites Coarse- to-fine reasoning for visual question answering.

Multi-Sourced Compositional Generalization in Visual Question Answering Coarse- to-fine reasoning for visual question answering

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:51.989430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2f69b773-4bc7-4254-aada-d63274af7adf · outbound

This paper cites Counter- factual vqa: A cause-effect look at language bias.

Multi-Sourced Compositional Generalization in Visual Question Answering Counter- factual vqa: A cause-effect look at language bias

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:51.807706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3ff5b3af-7a32-4a3e-a752-e55294efe0bf · outbound

This paper cites Combine to describe: Evaluating compositional generalization in image captioning.

Multi-Sourced Compositional Generalization in Visual Question Answering Combine to describe: Evaluating compositional generalization in image captioning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:51.535095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5f597684-cc11-4a2a-966a-ae8ae354ffb1 · outbound

This paper cites Overcom- ing language priors for visual question answering based on knowledge distillation.

Multi-Sourced Compositional Generalization in Visual Question Answering Overcom- ing language priors for visual question answering based on knowledge distillation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:51.371537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5e669762-a664-4ace-b641-ec6ef45f7009 · outbound

This paper cites Faster r-cnn: Towards real-time ob- ject detection with region proposal networks.IEEE Trans- actions on Pattern Analysis and Machine Intelligence (T- PAMI), 39(6):1137–1149,.

Multi-Sourced Compositional Generalization in Visual Question Answering Faster r-cnn: Towards real-time ob- ject detection with region proposal networks.IEEE Trans- actions on Pattern Analysis and Machine Intelligence (T- PAMI), 39(6):1137–1149,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:51.205858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4504748f-f741-42fa-bbde-df652f9351cd · outbound

This paper cites Transformer module networks for systematic generaliza- tion in visual question answering.IEEE Transactions on Pattern Analysis and Machine Intelligence,.

Multi-Sourced Compositional Generalization in Visual Question Answering Transformer module networks for systematic generaliza- tion in visual question answering.IEEE Transactions on Pattern Analysis and Machine Intelligence,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:50.800820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 693b9520-dbfa-4d01-87b8-5a79b1334760 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Multi-Sourced Compositional Generalization in Visual Question Answering MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:50.572037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e97128ac-6ca4-48bd-a616-18c832186732 · outbound

This paper cites Composi- tional generalization for multi-label text classification: A data-augmentation approach.

Multi-Sourced Compositional Generalization in Visual Question Answering Composi- tional generalization for multi-label text classification: A data-augmentation approach

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:54.603085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aae0f6d1-b5d3-4cf8-a230-5e53e985613f · outbound

This paper cites Systematic Generalization: What Is Required and Can It Be Learned?.

Multi-Sourced Compositional Generalization in Visual Question Answering Systematic Generalization: What Is Required and Can It Be Learned?

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:47.666813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20bd31ab-51f2-4100-aaf3-e99e238a3cfc · outbound

This paper cites Plug-and- play vqa: Zero-shot vqa by conjoining large pretrained models with zero training.

Multi-Sourced Compositional Generalization in Visual Question Answering Plug-and- play vqa: Zero-shot vqa by conjoining large pretrained models with zero training

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:50.956447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 57b6876b-fe2b-4f18-b8f6-9f2eb38fc97d · outbound

This paper cites Language-conditioned graph networks for relational reasoning.

Multi-Sourced Compositional Generalization in Visual Question Answering Language-conditioned graph networks for relational reasoning

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:53.872942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9fad416c-f1fa-41a0-94ad-5b92de48b6c4 · outbound

This paper cites Vqa: Visual question answering.

Multi-Sourced Compositional Generalization in Visual Question Answering Vqa: Visual question answering

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:54.987320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 75cbd23e-776f-4e65-8421-0d99ae9fbce9 · outbound

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

Multi-Sourced Compositional Generalization in Visual Question Answering LoRA: Low-rank adaptation of large language models

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:53.700888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 48fe8c11-38a7-435c-83d9-612be10ca19a · outbound

This paper cites Retrieval-augmented primitive representa- tions for compositional zero-shot learning.

Multi-Sourced Compositional Generalization in Visual Question Answering Retrieval-augmented primitive representa- tions for compositional zero-shot learning

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:53.082479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d615ff1-d4ad-49bf-80a8-cb9ff6f181f5 · outbound

This paper cites Bottom-up and top-down attention for im- age captioning and visual question answering.

Multi-Sourced Compositional Generalization in Visual Question Answering Bottom-up and top-down attention for im- age captioning and visual question answering

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:55.146044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 76936dd3-aa10-40ab-86d3-787576274996 · outbound

This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answering.

Multi-Sourced Compositional Generalization in Visual Question Answering Making the v in vqa matter: Elevating the role of image understanding in visual question answering

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:54.024402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f68d00ab-f7aa-4635-8185-ce5b4f722839 · outbound

This paper cites ” O’Reilly Media, Inc.”,.

Multi-Sourced Compositional Generalization in Visual Question Answering ” O’Reilly Media, Inc.”,

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:54.785548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 29fe08f9-f844-4184-b745-8224b9f0eac0 · outbound

This paper cites Meta module network for compositional visual reasoning.

Multi-Sourced Compositional Generalization in Visual Question Answering Meta module network for compositional visual reasoning

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:54.388196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.