Paper Citation Record · LEDGER

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering

As of 5 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2605.22035.

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

pith.paper-citation-record.v1
2605.22035 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T06:50:24.876877Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

33 of 33 outbound references displayed

verified exact3
verified fuzzy30
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d45e8f4-032f-4db7-9d4b-71554b8a6497 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Adam: A Method for Stochastic Optimization

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-22T06:51:11.329680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d5ad791a-705f-4d70-a393-48f768f196e1 · outbound

This paper cites Memory aware synapses: Learning what (not) to forget.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Memory aware synapses: Learning what (not) to forget

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.655934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8edf37b9-fbff-48a1-a692-6af55395ea41 · outbound

This paper cites Vqa: Visual question answering.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Vqa: Visual question answering

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.660024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b978d1d7-8b2a-4587-b565-d5551720c2e0 · outbound

This paper cites Rie- mannian walk for incremental learning: Understanding forgetting and intransigence.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Rie- mannian walk for incremental learning: Understanding forgetting and intransigence

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.671025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c335e3fe-e387-44de-8ccb-fad8dc5f9119 · outbound

This paper cites Continual learning with tiny episodic memories.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Continual learning with tiny episodic memories

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.686720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation be9f45dd-faf2-4234-a5c8-38a85bc5f17c · outbound

This paper cites Uniter: Universal image-text representation learning.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Uniter: Universal image-text representation learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.674620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f2f79b16-04ba-47a3-bd10-3b2c385323e2 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understand- ing.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Bert: Pre-training of deep bidirectional transformers for language understand- ing

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.667290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c1956092-2035-4765-9296-e6795c971ba9 · outbound

This paper cites A survey on concept drift adaptation.ACM computing sur- veys (CSUR), 46(4):1–37.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering A survey on concept drift adaptation.ACM computing sur- veys (CSUR), 46(4):1–37

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.651927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d99ebb0f-582f-43a5-86d8-5ead203fb5df · outbound

This paper cites ISAAQ - mastering textbook questions with pre-trained transformers and bottom-up and top-down attention.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering ISAAQ - mastering textbook questions with pre-trained transformers and bottom-up and top-down attention

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.679166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f08c60ad-ae26-489a-b2a9-d085c1239a32 · outbound

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

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Making the v in vqa matter: Elevating the role of image understand- ing in visual question answering

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.683119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f9b812fc-a26f-4135-97b2-1a436d178ca3 · outbound

This paper cites Psycholinguistics meets continual learning: Measuring catastrophic forget- ting in visual question answering.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Psycholinguistics meets continual learning: Measuring catastrophic forget- ting in visual question answering

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.647185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6b377091-fa2a-41ec-81a4-0d268e4a8628 · outbound

This paper cites Can spatiotemporal 3d cnns retrace the his- tory of 2d cnns and imagenet? InProceedings of the IEEE conference on Computer Vision and Pattern Recognition, pages 6546–6555.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Can spatiotemporal 3d cnns retrace the his- tory of 2d cnns and imagenet? InProceedings of the IEEE conference on Computer Vision and Pattern Recognition, pages 6546–6555

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.690491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8fbe3c8b-df2d-4be7-9d4e-ebce23df2c9d · outbound

This paper cites Re- mind your neural network to prevent catastrophic forget- ting.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Re- mind your neural network to prevent catastrophic forget- ting

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.573170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4498ba5c-b087-4969-b3f1-bb1ba2306261 · outbound

This paper cites Clevr: A diagnostic dataset for com- positional language and elementary visual reasoning.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Clevr: A diagnostic dataset for com- positional language and elementary visual reasoning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.581585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c1c4b659-f70f-4bc3-bb19-146518fb47f5 · outbound

This paper cites Bilinear attention networks.Advances in neu- ral information processing systems, 31.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Bilinear attention networks.Advances in neu- ral information processing systems, 31

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.577725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9e235539-c819-4a0a-ba13-93fcf92ad737 · outbound

This paper cites Vlm-pl: Advanced pseudo labeling approach for class incremental object de- tection via vision-language model.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Vlm-pl: Advanced pseudo labeling approach for class incremental object de- tection via vision-language model

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.601940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ba476801-bbc2-44c4-87ff-57089ec82954 · outbound

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

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-22T06:51:11.318647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cf842255-9487-4108-a44b-2659e2738d00 · outbound

This paper cites Learn to grow: A continual structure learning framework for overcoming catastrophic forgetting.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Learn to grow: A continual structure learning framework for overcoming catastrophic forgetting

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.594403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d1d42459-f7ae-4f42-b00b-5fa1a8a0450b · outbound

This paper cites Learning to contrast the counterfactual samples for robust visual question answering.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Learning to contrast the counterfactual samples for robust visual question answering

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.605986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 19d6c4d2-60bc-42b0-88ac-9ead8d6d9910 · outbound

This paper cites Microsoft coco: Com- mon objects in context.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Microsoft coco: Com- mon objects in context

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.623435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b84f8036-3ce4-4d63-ba92-f54e8ab60d2f · outbound

This paper cites Gradient episodic memory for continual learning.Advances in neural information processing systems, 30.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Gradient episodic memory for continual learning.Advances in neural information processing systems, 30

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.615294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4c338cf5-62c8-4b14-a7fd-0cacd132e85e · outbound

This paper cites Ask and remember: A questions-only replay strategy for continual visual question answering.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Ask and remember: A questions-only replay strategy for continual visual question answering

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.598455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b4c9ec68-5f75-4bfe-a780-0325b0c2d1ab · outbound

This paper cites Overcoming catastrophic forget- ting by neuron-level plasticity control.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Overcoming catastrophic forget- ting by neuron-level plasticity control

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.609851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e12f3fc1-e4ce-4739-9d7f-5fe3ef419ba5 · outbound

This paper cites Continual lifelong learning with neural networks: A review.Neural networks, 113:54–71.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Continual lifelong learning with neural networks: A review.Neural networks, 113:54–71

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.634809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation afe74503-6371-481c-95ec-033f5195b65e · outbound

This paper cites Faster r-cnn: Towards real-time ob- ject detection with region proposal networks.Advances in neural information processing systems, 28.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Faster r-cnn: Towards real-time ob- ject detection with region proposal networks.Advances in neural information processing systems, 28

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.585596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a14727db-54f5-4195-99c6-83faf92d3982 · outbound

This paper cites Progressive Neural Networks.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Progressive Neural Networks

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-22T06:51:11.324874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 44a977fa-4b0a-4d81-a176-1a156d49d125 · outbound

This paper cites Efficient multi-task and trans- fer reinforcement learning with parameter-compositional framework.IEEE Robotics and Automation Letters, 8(8):4569–4576.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Efficient multi-task and trans- fer reinforcement learning with parameter-compositional framework.IEEE Robotics and Automation Letters, 8(8):4569–4576

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.638875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 13953075-815c-427c-a0d5-c2b99dbd7891 · outbound

This paper cites Top–down and bottom–up control of visual selection.Acta psychologica, (2):77–99.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Top–down and bottom–up control of visual selection.Acta psychologica, (2):77–99

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.643046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ccb177a4-4fe0-4cce-a830-ce803310b0c3 · outbound

This paper cites Separating skills and concepts for novel visual question answering.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Separating skills and concepts for novel visual question answering

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.631060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e2b75bfb-ea42-459e-9f99-454a9504a1c5 · outbound

This paper cites Next-qa: Next phase of question- answering to explaining temporal actions.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Next-qa: Next phase of question- answering to explaining temporal actions

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.590294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation db90e06c-7d5c-4015-81fb-52bf7e4fc10c · outbound

This paper cites Multi-level counterfactual contrast for visual commonsense reasoning.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Multi-level counterfactual contrast for visual commonsense reasoning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.619285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cd667809-4340-4583-9cd0-a3ebac55f60d · outbound

This paper cites Vqacl: A novel visual question answering con- tinual learning setting.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Vqacl: A novel visual question answering con- tinual learning setting

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.663547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a7bed915-7cba-4062-885a-b7950ec9619f · outbound

This paper cites Learning without forgetting for vision-language models.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence.

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering Learning without forgetting for vision-language models.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T06:51:11.627256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.