Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T04:43:20.831117Z
Paper Citation Record · LEDGER
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users
As of 16 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2509.06010.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T00:50:19.280108Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T00:50:19.564824Z
Reference resolution
21 of 21 outbound references displayed
- verified exact1
- verified fuzzy19
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a71d3b19-4d05-44c9-bd8a-678cf942a4cf · outbound
This paper cites Vision-language model-based polyformer for recognizing visual ques- tions with multiple answer groundings.
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users Vision-language model-based polyformer for recognizing visual ques- tions with multiple answer groundings
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:23.704356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7969617d-6b83-4407-b0c4-90192c9a1b68 · outbound
This paper cites Remote assistance for blind users in daily life: A survey about be my eyes.
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users Remote assistance for blind users in daily life: A survey about be my eyes
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:23.597271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 038400d4-9bfc-4000-91bf-9a075d73091f · outbound
This paper cites Vqa therapy: Exploring answer differences by visually grounding answers.
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users Vqa therapy: Exploring answer differences by visually grounding answers
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:23.481862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 88fb4172-b046-4b0a-97de-69bb7b728e07 · outbound
This paper cites Refining pseudo labeling via multi- granularity confidence alignment for unsupervised cross domain object detection.IEEE Transactions on Image Processing, 2025.
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users Refining pseudo labeling via multi- granularity confidence alignment for unsupervised cross domain object detection.IEEE Transactions on Image Processing, 2025
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:23.318942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 17b92c3e-06ea-40ea-81ea-36dc0b1b2806 · outbound
This paper cites Vqask: a multimodal android gpt- based application to help blind users visualize pictures.
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users Vqask: a multimodal android gpt- based application to help blind users visualize pictures
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:23.155782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c35eb609-729a-4598-892a-f983135fa42f · outbound
This paper cites Towards understanding the use of mllm-enabled applications for visual interpretation by blind and low vision people.
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users Towards understanding the use of mllm-enabled applications for visual interpretation by blind and low vision people
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:23.013945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 61ae3016-6ceb-4779-84ac-d3683cd7abef · outbound
This paper cites Vizwiz grand challenge: Answering visual questions from blind people.
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users Vizwiz grand challenge: Answering visual questions from blind people
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:22.856931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 74eaca94-984d-4733-a645-be52a4ed3189 · outbound
This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022.
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T04:43:19.427202Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22e64f2a-a691-47bb-921b-5355012f4667 · outbound
This paper cites Consistency and uncertainty: Identifying unre- liable responses from black-box vision-language models for selective visual question answering.
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users Consistency and uncertainty: Identifying unre- liable responses from black-box vision-language models for selective visual question answering
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:22.658833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3e5d52a3-e44c-4d03-858f-be4c7f564a44 · outbound
This paper cites Dual-branch fusion with style modulation for cross-domain few-shot semantic segmentation.
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users Dual-branch fusion with style modulation for cross-domain few-shot semantic segmentation
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:22.540118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 13112c59-87cd-4b19-bb27-628a24cc6a46 · outbound
This paper cites Natural language understanding and inference with mllm in visual question answering: A survey.ACM Computing Surveys, 57(8):1–36, 2025.
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users Natural language understanding and inference with mllm in visual question answering: A survey.ACM Computing Surveys, 57(8):1–36, 2025
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:22.407626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8a0b82b8-71f9-4ab7-9d16-3712a3cb19fa · outbound
This paper cites Blip-2: Boot- strapping language-image pre-training with frozen image encoders and large language models.
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users Blip-2: Boot- strapping language-image pre-training with frozen image encoders and large language models
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:22.242938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 59ab5756-76b5-4888-b221-fabfbf80582e · outbound
This paper cites Polyformer: Referring image segmentation as sequential polygon generation.
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users Polyformer: Referring image segmentation as sequential polygon generation
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:22.135019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4cc3c410-d558-428a-a2d3-d7f83cd29085 · outbound
This paper cites An astute assistive device for mobility and object recognition for visually impaired people.IEEE Transactions on Human-Machine Systems, 49(5):449–460, 2019.
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users An astute assistive device for mobility and object recognition for visually impaired people.IEEE Transactions on Human-Machine Systems, 49(5):449–460, 2019
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:22.046250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 51efa02b-fb72-4e61-b604-ec675b7df3fa · outbound
This paper cites Dynamic conceptional con- trastive learning for generalized category discovery.
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users Dynamic conceptional con- trastive learning for generalized category discovery
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:21.954258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 73ebf983-0b0a-4f26-9844-b897620e2f23 · outbound
This paper cites Advances in few-shot action recognition: A comprehensive review.
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users Advances in few-shot action recognition: A comprehensive review
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:21.873693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2743f3ba-f3bf-4408-b218-19313375d57a · outbound
This paper cites DARE: Diverse Visual Question Answering with Robustness Evaluation.
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users DARE: Diverse Visual Question Answering with Robustness Evaluation
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T04:43:21.034136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7cfad7f6-621b-40f6-80f5-cb3990f11da5 · outbound
This paper cites the smart vision glasses.
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users the smart vision glasses
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:21.753393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 55a58566-607d-42f3-8275-e293688f50dc · outbound
This paper cites A survey of 17 indoor travel assistance systems for blind and visually impaired people.IEEE Transactions on Human-Machine Systems, 52(1):134–148, 2021.
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users A survey of 17 indoor travel assistance systems for blind and visually impaired people.IEEE Transactions on Human-Machine Systems, 52(1):134–148, 2021
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:21.627116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3793b5f3-9b50-4591-b94c-5f3bf8166f85 · outbound
This paper cites Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers.
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:21.422605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c3c93b60-2266-480f-a13a-eabe623cbcae · outbound
This paper cites A survey on vqa: Datasets and approaches.
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users A survey on vqa: Datasets and approaches
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T04:43:21.238294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
Observation ed1391d9-df16-421e-b77a-79a1b2965b96 · inbound
How Much Does It Cost to Answer My Question? Benchmarking Cloud VLM-based VQA Systems cites this paper.
How Much Does It Cost to Answer My Question? Benchmarking Cloud VLM-based VQA Systems BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T00:50:19.569534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.