Paper Citation Record · LEDGER

Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2503.18016.

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

pith.paper-citation-record.v1
2503.18016 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:51:31.477574Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T20:35:34.409440Z

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 8fad7963-54e1-4a98-9828-eb9d623d3ff6 · inbound

Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning? cites this paper.

Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning? Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:31.477574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be911500-9d81-4be0-9368-3fe0e4981126 · inbound

RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection cites this paper.

RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:57.598178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5eab40ed-74e9-4b6b-b019-d4bc55bf9e7c · inbound

Towards Omnidirectional Reasoning with 360-R1: A Dataset, Benchmark, and GRPO-based Method cites this paper.

Towards Omnidirectional Reasoning with 360-R1: A Dataset, Benchmark, and GRPO-based Method Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:43.984741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3039fba3-61c1-4592-a67f-e6dc240e32cb · inbound

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation cites this paper.

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:00.592379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27350be5-2450-4fa9-933d-cf2de2e4dc39 · inbound

HKGAI-V1: Towards Regional Sovereign Large Language Model for Hong Kong cites this paper.

HKGAI-V1: Towards Regional Sovereign Large Language Model for Hong Kong Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T17:38:18.505267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f06555ff-d28b-468a-908f-4fe7516b71bb · inbound

Seeing the Unseen: Towards Training-Free Inspection for Wind Turbine Blades Using Knowledge-Augmented Vision Language Models cites this paper.

Seeing the Unseen: Towards Training-Free Inspection for Wind Turbine Blades Using Knowledge-Augmented Vision Language Models Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T08:07:30.711957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d654aa8a-9430-4f14-a427-23b18405f1a5 · inbound

CausalEmbed: Auto-Regressive Multi-Vector Generation in Latent Space for Visual Document Embedding cites this paper.

CausalEmbed: Auto-Regressive Multi-Vector Generation in Latent Space for Visual Document Embedding Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:17:44.680209Z

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.

Observation 001d938b-b91a-4924-a50e-fdd3250ccf8d · inbound

AeroRAG: Structured Multimodal Retrieval-Augmented LLM for Fine-Grained Aerial Visual Reasoning cites this paper.

AeroRAG: Structured Multimodal Retrieval-Augmented LLM for Fine-Grained Aerial Visual Reasoning Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:40:19.796583Z

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.

Observation 4264f892-daed-4b41-b1a3-dc20c93dbf11 · inbound

Geometric Analysis of Self-Supervised Vision Representations for Semantic Image Retrieval cites this paper.

Geometric Analysis of Self-Supervised Vision Representations for Semantic Image Retrieval Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:01:15.802284Z

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.

Observation 97e90b6f-c669-4127-b8e1-aca7d53e50a7 · inbound

EHR-RAGp: Retrieval-Augmented Prototype-Guided Foundation Model for Electronic Health Records cites this paper.

EHR-RAGp: Retrieval-Augmented Prototype-Guided Foundation Model for Electronic Health Records Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-13T03:22:10.500828Z

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.

Observation 85c1d916-c35d-40b4-aaaf-1ca9da962abe · inbound

Why Retrieval-Augmented Generation Fails: A Graph Perspective cites this paper.

Why Retrieval-Augmented Generation Fails: A Graph Perspective Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:49:44.283581Z

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.

Observation 23f617d1-3b1a-47b9-8499-6949df5a0e52 · inbound

CMDR: Contextual Multimodal Document Retrieval cites this paper.

CMDR: Contextual Multimodal Document Retrieval Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook

Reference 65

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T20:35:34.410968Z

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.

Observation c20d5658-82a5-4014-91b5-248a7ddd67fb · inbound

CoSA: Accelerating Long-Context Inference via Proxy-Kernel Co-Designed Sparse Attention cites this paper.

CoSA: Accelerating Long-Context Inference via Proxy-Kernel Co-Designed Sparse Attention Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:53.414494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.