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Paper Citation Record · LEDGER

FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.17718.

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

pith.paper-citation-record.v1
2305.17718 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:13:42.273111Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T18:51:10.623586Z

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 7d607a55-a81c-4842-9f20-a85083cf7c0a · inbound

GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training cites this paper.

GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:45.144612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:45.144612Z digest=sha256:d928ca8b9659e419423fbe8bca12f5e29fb67ec78f89c9c31876cb3b9bddb7f1

Observation e09306b9-615d-45fb-96bf-a95e914fc6e9 · inbound

MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation cites this paper.

MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T21:45:46.017427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:45:46.017427Z digest=sha256:3cb70e3efdf80a724e9884f1bd81f8948611bc1705c4922fac912b6b352ba42a

Observation 010e847c-9302-424c-a73c-063377be89db · inbound

Large Models in Dialogue for Active Perception and Anomaly Detection cites this paper.

Large Models in Dialogue for Active Perception and Anomaly Detection FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T13:36:47.001883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:36:47.001883Z digest=sha256:e0e8a368cb289de59d5c59c2016d8c28f280e2ddb74ece78f590e3345e9b3bca

Observation b04e03f2-cdb9-478c-abd7-829f9ec0989f · inbound

VisCon-100K: Leveraging Contextual Web Data for Fine-tuning Vision Language Models cites this paper.

VisCon-100K: Leveraging Contextual Web Data for Fine-tuning Vision Language Models FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-07T18:51:10.631920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T18:51:10.437362Z digest=sha256:22a6181bbb5774c962258ac0dfb537617fbea301b791da87d1c20eeeda85197b

Observation 1a82cd5f-0bed-4b83-80e7-a9577800ad85 · inbound

CatchPhrase: EXPrompt-Guided Encoder Adaptation for Audio-to-Image Generation cites this paper.

CatchPhrase: EXPrompt-Guided Encoder Adaptation for Audio-to-Image Generation FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T18:13:42.273111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:13:42.273111Z digest=sha256:86936a2da87f0d29299f33d543b64ccd9a5da80ba6c71b6b5dbdbe4ffbd8488e