Paper Citation Record · LEDGER

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval

As of 8 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2608.01389.

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

pith.paper-citation-record.v1
2608.01389 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:17:09.461970Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

verified exact4
verified fuzzy10
unresolved32
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4d6a6570-5ccc-4858-8740-01b818b9136b · outbound

This paper cites 2020 , eprint=.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval 2020 , eprint=

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:17:10.255987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f20485ca-0e14-4acd-b448-2b768e076735 · outbound

This paper cites 2021 , eprint=.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval 2021 , eprint=

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:17:10.247697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 144e70c6-8071-4ee2-9b61-622586ba88ec · outbound

This paper cites Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:06.471731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4fb317c-ef07-42e0-84e3-c221461bf350 · outbound

This paper cites 2023 , eprint=.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval 2023 , eprint=

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:17:10.239175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bf9ee439-1ef5-4b6b-9d10-cd0e096232df · outbound

This paper cites 2022 , eprint=.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval 2022 , eprint=

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:06.694950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 452bb6c8-d120-4a0e-81ef-eea22f8e767d · outbound

This paper cites 2024 , eprint=.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval 2024 , eprint=

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:17:10.225601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0b9dcd8d-1eb1-4c23-b8d0-483637fd94e1 · outbound

This paper cites Advances in neural information processing systems , volume=.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval Advances in neural information processing systems , volume=

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:06.869591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f65e3641-8aee-41e8-8314-37313b71ff35 · outbound

This paper cites International Conference on Learning Representations , volume=.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval International Conference on Learning Representations , volume=

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:17:10.211361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d2cd2024-56b1-4273-bdde-51cd4c2986cd · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:17:10.202242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 171a73dc-a859-4303-a6ed-b2636cb80c8a · outbound

This paper cites V i D o RAG : Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval V i D o RAG : Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:07.147285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af2e12a6-467b-4d76-b6ad-bb87d5a999d4 · outbound

This paper cites ColPali: Efficient Document Retrieval with Vision Language Models.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval ColPali: Efficient Document Retrieval with Vision Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:07.252374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cefe401-e204-405a-abd9-c21e4b756fb0 · outbound

This paper cites Unifying Multimodal Retrieval via Document Screenshot Embedding.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval Unifying Multimodal Retrieval via Document Screenshot Embedding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:07.332417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e4403de-65db-4bb0-86bc-226158e0d8b3 · outbound

This paper cites arXiv preprint arXiv:2505.17166 , year=.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval arXiv preprint arXiv:2505.17166 , year=

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:07.389543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b49b18d4-399d-4174-84ea-995d0bc00367 · outbound

This paper cites and Liu, Bo and Faysse, Manuel and Hudelot, Celine and Viaud, Gautier.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval and Liu, Bo and Faysse, Manuel and Hudelot, Celine and Viaud, Gautier

Reference 14

Resolution: verified exact; doi, observed 2026-08-06T00:17:09.554888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 450ce2d4-e465-4620-864c-9f0a035f5cd3 · outbound

This paper cites arXiv preprint arXiv:2510.03663 , year=.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval arXiv preprint arXiv:2510.03663 , year=

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:07.556292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cff92f8-ecdc-4fff-b083-5be679afa329 · outbound

This paper cites arXiv preprint arXiv:2602.17687 , year=.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval arXiv preprint arXiv:2602.17687 , year=

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:07.606976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e05609c-ac13-47b2-afe6-28b3f458519d · outbound

This paper cites REAL - MM - RAG : A Real-World Multi-Modal Retrieval Benchmark.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval REAL - MM - RAG : A Real-World Multi-Modal Retrieval Benchmark

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:07.715940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f963f723-2f77-48da-bbf7-48aee932288e · outbound

This paper cites 2025 , publisher=.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval 2025 , publisher=

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:07.802843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6e03987-e6d4-4935-9ac6-fe5ecce24f3b · outbound

This paper cites Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:07.896230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 408bcc35-dd61-439d-8a83-ff200d3cd467 · outbound

This paper cites arXiv preprint arXiv:2602.03992 , year=.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval arXiv preprint arXiv:2602.03992 , year=

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:08.038242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1e36e86-5dcf-485c-b12c-2692ec612f26 · outbound

This paper cites jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:08.135172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36ec4808-9616-4813-9e89-4a999ba9e374 · outbound

This paper cites Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:08.185340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a664ecdf-f058-4126-aec6-7ade0de7f275 · outbound

This paper cites 2025 , url =.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval 2025 , url =

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:17:10.188731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d9ec1f64-c335-429b-b6b7-300aca1165fe · outbound

This paper cites MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:08.365780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eae26c1d-24dd-44b8-953a-f6c4a44bdadc · outbound

This paper cites MIRACL-VISION: A Large, multilingual, visual document retrieval benchmark.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval MIRACL-VISION: A Large, multilingual, visual document retrieval benchmark

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:08.520214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0183da30-5157-4cd0-8211-47374098c855 · outbound

This paper cites MIRACL : A Multilingual Retrieval Dataset Covering 18 Diverse Languages.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval MIRACL : A Multilingual Retrieval Dataset Covering 18 Diverse Languages

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:08.610689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1700eec9-befb-41ca-bf36-459d75a0bf72 · outbound

This paper cites arXiv preprint arXiv:2511.04910 , year=.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval arXiv preprint arXiv:2511.04910 , year=

Reference 27

Resolution: verified exact; raw_fallback, observed 2026-08-06T00:17:09.874742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cfd50bba-964f-46fb-9df9-67a39fb4bc3d · outbound

This paper cites K o V i D o R e: A Benchmark for K orean Visual Document Retrieval.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval K o V i D o R e: A Benchmark for K orean Visual Document Retrieval

Reference 28

Resolution: verified exact; doi, observed 2026-08-06T00:17:09.529216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0ea9b359-ca2c-4119-9401-f0e7852fd708 · outbound

This paper cites TAT - QA : A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval TAT - QA : A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:08.950642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 475e4176-640c-41fd-8107-1daa19c9c550 · outbound

This paper cites 2025 , publisher =.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval 2025 , publisher =

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:17:10.179970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e65ee079-6b4e-491f-ab4c-e4a9b03001c6 · outbound

This paper cites NV-Retriever: Improving text embedding models with effective hard-negative mining.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval NV-Retriever: Improving text embedding models with effective hard-negative mining

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:09.248864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a93530ee-4256-4364-9865-5f978068a29b · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval Advances in Neural Information Processing Systems , volume=

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:09.334198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 013e7bee-9602-4b8c-89ba-da4b4ea3c089 · outbound

This paper cites MTEB : Massive Text Embedding Benchmark.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval MTEB : Massive Text Embedding Benchmark

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:09.424306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57da0186-3b65-4953-aab9-ea7354a6db7f · outbound

This paper cites arXiv preprint arXiv:2503.04812 , year=.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval arXiv preprint arXiv:2503.04812 , year=

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:09.428303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ae2fd3f-bb05-4fcf-8b8c-f03136c11d5b · outbound

This paper cites EmbeddingGemma: Powerful and Lightweight Text Representations.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:09.430992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 249e0b41-541f-481b-be36-cfb23e41a12d · outbound

This paper cites Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021) , pages=.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021) , pages=

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:17:10.166781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5b6b9460-94f0-4ddf-b0dd-94b75bcce53e · outbound

This paper cites arXiv preprint arXiv:2502.13595 , year=.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval arXiv preprint arXiv:2502.13595 , year=

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:09.436242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 327864bf-cfcd-43a6-ab83-9d4f38ec96d7 · outbound

This paper cites Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:09.438666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b96cb1fb-0c72-43e9-adae-547c68ea81b0 · outbound

This paper cites MMD oc IR : Benchmarking Multimodal Retrieval for Long Documents.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval MMD oc IR : Benchmarking Multimodal Retrieval for Long Documents

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:09.441596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8d507f5-ccbc-47d5-b24f-74c6a588ed79 · outbound

This paper cites M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:09.444119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91d8d9fa-b9dc-4d71-acdc-d9778b3d2a1f · outbound

This paper cites arXiv preprint arXiv:2510.01149 , year=.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval arXiv preprint arXiv:2510.01149 , year=

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:09.447251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5530c45c-12d9-46d5-bb05-c6171f617c16 · outbound

This paper cites jina-clip-v2: Multilingual Multimodal Embeddings for Text and Images.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval jina-clip-v2: Multilingual Multimodal Embeddings for Text and Images

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:09.450205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a752b5a6-7471-4d4e-89d5-5f8b449e5c58 · outbound

This paper cites jina-embeddings-v5-omni: Geometry-preserving Embeddings via Locked Aligned Towers.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval jina-embeddings-v5-omni: Geometry-preserving Embeddings via Locked Aligned Towers

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:09.452885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6a9de8f-17ad-4092-a668-5f1a9a325372 · outbound

This paper cites Annual Conference on Human and Language Technology , pages=.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval Annual Conference on Human and Language Technology , pages=

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:17:10.158097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b3e8f59f-26c3-43ed-82ce-4d53f8045899 · outbound

This paper cites Leitner-Guided Memory Replay for Cross-lingual Continual Learning.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval Leitner-Guided Memory Replay for Cross-lingual Continual Learning

Reference 45

Resolution: verified exact; doi, observed 2026-08-06T00:17:09.497442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eb13e48d-5c11-4054-a992-5984ab63dbfa · outbound

This paper cites Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:09.461970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.