Paper Citation Record · LEDGER

ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions

As of 7 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.

pith.paper-citation-record.v1
2303.06594 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:23:32.836660Z

measured 0 of 1 external citation measurements

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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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.