Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2407.20756.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:42:27.849692Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T01:39:24.122523Z
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 76fcc662-c1f9-4b43-ab9e-d644dab244ba · inbound
FLARE: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding cites this paper.
FLARE: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T19:52:01.878103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0607d074-6d96-4b08-9d9c-b9ba782c61a4 · inbound
Advancing Multimodal LLMs by Large-Scale 3D Visual Instruction Dataset Generation cites this paper.
Advancing Multimodal LLMs by Large-Scale 3D Visual Instruction Dataset Generation SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:24:52.771144Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76b10177-e5f0-4fae-af7a-fe391e89e964 · inbound
LoRA-Loop: Closing the Synthetic Replay Cycle for Continual VLM Learning cites this paper.
LoRA-Loop: Closing the Synthetic Replay Cycle for Continual VLM Learning SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:26:35.272038Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1ba2790-d1ae-45be-8d0e-9065fbef0ab2 · inbound
BcQLM: Efficient Vision-Language Understanding with Distilled Q-Gated Cross-Modal Fusion cites this paper.
BcQLM: Efficient Vision-Language Understanding with Distilled Q-Gated Cross-Modal Fusion SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T20:20:32.005334Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 116cda44-1dcd-4036-bd6a-da01900acf45 · inbound
ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch cites this paper.
ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T13:12:54.753405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 33fc9352-c277-43d1-a1d1-7ba710892f1d · inbound
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models cites this paper.
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models
Reference 90
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:45:48.720551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 86727004-1a7a-436b-b9c3-b4e3579006c4 · inbound
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models cites this paper.
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models
Reference 90
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T09:42:23.808691Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da8ff7dc-3f70-4e57-8f02-9a8e29fe850b · inbound
Air-Know: Arbiter-Calibrated Knowledge-Internalizing Robust Network for Composed Image Retrieval cites this paper.
Air-Know: Arbiter-Calibrated Knowledge-Internalizing Robust Network for Composed Image Retrieval SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:16:04.671286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2eb1201c-7dac-4496-94e4-f4769a6ae363 · inbound
ConeSep: Cone-based Robust Noise-Unlearning Compositional Network for Composed Image Retrieval cites this paper.
ConeSep: Cone-based Robust Noise-Unlearning Compositional Network for Composed Image Retrieval SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:49:48.509790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 66c6047f-1dff-43b7-b298-cd814ad40e75 · inbound
MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution cites this paper.
MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models
Reference 76
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T09:15:43.986134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8b0b1874-0d2c-4de5-b19b-57cb99c0d539 · inbound
MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution cites this paper.
MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models
Reference 76
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T01:39:24.124717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7764d2c0-bdd0-4d32-bd40-3b3025a5675e · inbound
Causal Evidence Extraction and Triangulation in Crisis Reports using Large Language Models: A ReliefWeb-based Study cites this paper.
Causal Evidence Extraction and Triangulation in Crisis Reports using Large Language Models: A ReliefWeb-based Study SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:42:27.849692Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.