Paper Citation Record · LEDGER

Improving Image Captioning with Better Use of Captions

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2006.11807.

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

pith.paper-citation-record.v1
2006.11807 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:29:12.282159Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T12:49:52.887579Z

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 f1e74cfb-e291-45f9-a336-5b54ba8f2d88 · inbound

Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning cites this paper.

Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning Improving Image Captioning with Better Use of Captions

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T14:29:12.282159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5d0c546-30e9-44d7-8fd2-6bf80271cfb7 · inbound

ImgEdit: A Unified Image Editing Dataset and Benchmark cites this paper.

ImgEdit: A Unified Image Editing Dataset and Benchmark Improving Image Captioning with Better Use of Captions

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-12T18:17:45.343624Z

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 8cddba80-b2c7-4b92-ac27-22c1ffd96ca1 · inbound

UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation cites this paper.

UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation Improving Image Captioning with Better Use of Captions

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-12T17:34:27.211266Z

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 c9e7e143-2904-4ca3-8729-32b0cfc2b4dd · inbound

Trade-offs in Image Generation: How Do Different Dimensions Interact? cites this paper.

Trade-offs in Image Generation: How Do Different Dimensions Interact? Improving Image Captioning with Better Use of Captions

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T12:08:01.797154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76583375-fdc1-4add-9d4e-7f223ad8d26a · inbound

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding cites this paper.

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding Improving Image Captioning with Better Use of Captions

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T14:15:28.958910Z

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 9e48c4f1-d37e-4d8f-b653-dd6d516b7c7c · inbound

Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks cites this paper.

Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks Improving Image Captioning with Better Use of Captions

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:49:52.888987Z

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.