Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2303.06594.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:23:32.836660Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T14:22:18.666015Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation f85ff31d-71c3-43bd-99a0-5650941854ba · inbound
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models cites this paper.
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T20:37:01.800800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4fac5e0e-1e55-4b6f-8834-4bcd53a90ae5 · inbound
A Survey on Multimodal Large Language Models cites this paper.
A Survey on Multimodal Large Language Models ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions
Reference 82
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T02:56:42.603376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b0407eb2-6147-421f-ae70-a19b3137e8b1 · inbound
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning cites this paper.
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:13:09.013573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 658192d9-7847-432d-8a7e-57eada58229f · inbound
An Embodied Generalist Agent in 3D World cites this paper.
An Embodied Generalist Agent in 3D World ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T14:22:18.668885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7d012bea-a758-4e5b-b7e6-288bc1cba0b5 · inbound
Adapting Lightweight Vision Language Models for Radiological Visual Question Answering cites this paper.
Adapting Lightweight Vision Language Models for Radiological Visual Question Answering ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:23:32.836660Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5afc66ba-1db5-4322-8cac-109c8ec26260 · inbound
ReME: A Data-Centric Framework for Training-Free Open-Vocabulary Segmentation cites this paper.
ReME: A Data-Centric Framework for Training-Free Open-Vocabulary Segmentation ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions
Reference 88
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-06T22:36:50.080336Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 693d6196-8f77-4f8b-8a6c-a0382fd50ecd · inbound
Prompt Engineering in Segment Anything Model: Methodologies, Applications, and Emerging Challenges cites this paper.
Prompt Engineering in Segment Anything Model: Methodologies, Applications, and Emerging Challenges ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions
Reference 94
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:56:03.863141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac2d11c2-308f-4e49-badc-dc4acc1c35df · inbound
MM-Nav: Multi-View VLA Model for Robust Visual Navigation via Multi-Expert Learning cites this paper.
MM-Nav: Multi-View VLA Model for Robust Visual Navigation via Multi-Expert Learning ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T12:37:55.687390Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.