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Paper Citation Record · LEDGER

Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial Applications

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2410.21943.

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

pith.paper-citation-record.v1
2410.21943 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 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:51:25.869361Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T01:04:13.537142Z

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 abfc432f-6c87-4b55-bcaa-01f272781b30 · inbound

Multi-modal Retrieval Augmented Multi-modal Generation: Datasets, Evaluation Metrics and Strong Baselines cites this paper.

Multi-modal Retrieval Augmented Multi-modal Generation: Datasets, Evaluation Metrics and Strong Baselines Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial Applications

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T13:16:38.298153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:16:38.298153Z digest=sha256:9401ac503857c29207809c61d730b3869498271687e9ccea5533120a649503c1

Observation 0e8efef7-5b86-48e4-92be-da03869a9c90 · inbound

VISA: Retrieval Augmented Generation with Visual Source Attribution cites this paper.

VISA: Retrieval Augmented Generation with Visual Source Attribution Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial Applications

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T12:16:31.310174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:16:31.310174Z digest=sha256:9718dea304a752fff651f25972c645f99c41209f01bff6c0c39e0f6eea8b0f4f

Observation 90489f3a-e087-434e-a8e9-ca4f8e4c39f1 · inbound

Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks cites this paper.

Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial Applications

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T05:49:54.339114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:49:54.339114Z digest=sha256:1bfb520b10861d060b6a849d63c3406f1f64292d2dfc5b3a14158f44bee37609

Observation 86102f48-041e-4134-a937-48bca6faff94 · inbound

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering cites this paper.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial Applications

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:25.869361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.869361Z digest=sha256:3f6df649f5370a687b8694e87ff51b0abdd05e8000f4e9ae77f70f358b33cd8c

Observation 5b915fb7-e3f6-4b5e-9eee-0112ea014616 · inbound

DocSpiral: A Platform for Integrated Assistive Document Annotation through Human-in-the-Spiral cites this paper.

DocSpiral: A Platform for Integrated Assistive Document Annotation through Human-in-the-Spiral Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial Applications

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T23:59:04.251784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:04.251784Z digest=sha256:eaf1ada43b43a3e8b73e499205c66e915839c6f41b4f46d9f1538b086b9a436d

Observation ee7e193f-ca47-41f3-8294-0d56b8b6df3f · inbound

mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation cites this paper.

mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial Applications

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:25.951200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:42:25.951200Z digest=sha256:67f28ba9fdf45700a72fa427d4b78ffaa376d2781116b59f7d275605a61e8677

Observation 7f1b34e7-96e8-448c-be34-db98c22fa617 · inbound

RAVID: Retrieval-Augmented Visual Detection: A Knowledge-Driven Approach for AI-Generated Image Identification cites this paper.

RAVID: Retrieval-Augmented Visual Detection: A Knowledge-Driven Approach for AI-Generated Image Identification Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial Applications

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-06T01:04:13.635027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T01:04:11.672929Z digest=sha256:5e4b098166cf4937901c73f83450518a25eebf8f479b3e89fd09454f68ad2dc3

Observation 9595a6ad-f3fa-4763-b604-6c7a7e151c8e · inbound

HVM-GraphRAG: Holistic-View Multimodal Graph Retrieval-Augmented Generation on Complex Document cites this paper.

HVM-GraphRAG: Holistic-View Multimodal Graph Retrieval-Augmented Generation on Complex Document Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial Applications

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-30T17:10:20.669901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T17:10:20.669901Z digest=sha256:8e435e2eba33be36aceb06321684b6812c85dadbf4e1363193c314ba9850085e