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Paper Citation Record · LEDGER

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries

As of 2 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2606.19960.

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

pith.paper-citation-record.v1
2606.19960 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T15:49:49.067128Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-02T06:30:47.504484+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

47 of 47 outbound references displayed

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  • verified fuzzy0
  • unresolved40
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ba19e6ff-f21a-4505-846a-a91b68fd2690 · outbound

This paper cites Language models are few-shot learners,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Language models are few-shot learners,

Reference 1

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Observation 0effaa4d-4aac-4300-82fc-8df9d7f61798 · outbound

This paper cites GPT-4o System Card.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries GPT-4o System Card

Reference 2

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Observation 3a0b243c-7d7f-4c60-a582-94f711cef97a · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions,

Reference 3

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Observation 7660141f-5e6a-472e-84fa-b05cfcb14962 · outbound

This paper cites A survey on RAG meeting llms: Towards retrieval-augmented large language models,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries A survey on RAG meeting llms: Towards retrieval-augmented large language models,

Reference 4

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Observation 10ddb506-703a-4d8b-9d5e-86a92559fe3d · outbound

This paper cites Self-rag: Learning to retrieve, generate, and critique through self-reflection,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Self-rag: Learning to retrieve, generate, and critique through self-reflection,

Reference 5

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Observation a9fe360f-6dad-4c75-8f44-756a25d057d8 · outbound

This paper cites FIT-RAG: black-box RAG with factual information and token reduction,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries FIT-RAG: black-box RAG with factual information and token reduction,

Reference 6

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Observation 8caeaa7b-2ba7-44e4-8528-8cfb63d99d67 · outbound

This paper cites QAEA-DR: A unified text augmentation framework for dense retrieval,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries QAEA-DR: A unified text augmentation framework for dense retrieval,

Reference 7

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Observation a0dceeb4-4b67-40bd-9717-9535bc7060af · outbound

This paper cites Docdb: A database for unstructured document analysis,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Docdb: A database for unstructured document analysis,

Reference 8

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Observation dd6c955f-fe30-41df-8f6a-4848d3a1189c · outbound

This paper cites Visrag: Vision-based retrieval-augmented generation on multi-modality documents,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Visrag: Vision-based retrieval-augmented generation on multi-modality documents,

Reference 9

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Observation 638c0f81-5f39-4dc9-9c68-25016cdd3567 · outbound

This paper cites Robust scene text recognition with automatic rectification,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Robust scene text recognition with automatic rectification,

Reference 10

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Observation b36f67cf-e726-4f65-a64d-24768e361180 · outbound

This paper cites The probabilistic relevance frame- work: BM25 and beyond,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries The probabilistic relevance frame- work: BM25 and beyond,

Reference 11

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Observation ce79b373-1aba-407e-8f5c-307725118ef8 · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries C-Pack: Packed Resources For General Chinese Embeddings

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 6c08a16f-ed14-4143-8e84-7efae0db1d13 · outbound

This paper cites A Survey on Multimodal Large Language Models.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries A Survey on Multimodal Large Language Models

Reference 13

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Observation 4f5a5434-0cdb-4a6c-9739-4d8a5f50ec6e · outbound

This paper cites Colpali: Efficient document retrieval with vision language models,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Colpali: Efficient document retrieval with vision language models,

Reference 14

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Observation 8349feea-1b3b-477d-ada3-32dffd3ef89e · outbound

This paper cites Unifying multimodal retrieval via document screenshot embedding,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Unifying multimodal retrieval via document screenshot embedding,

Reference 15

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Observation 247aa86b-3d11-4ee9-ab1f-41c121830ab3 · outbound

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

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Reference 16

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Source-reported events for the cited work

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Observation 2895041c-0d12-4ae6-8181-a0eb3850e376 · outbound

This paper cites Colbert: Efficient and effective passage search via contextualized late interaction over BERT,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Colbert: Efficient and effective passage search via contextualized late interaction over BERT,

Reference 17

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Observation 8398975b-134e-490a-8000-37d2a02181e8 · outbound

This paper cites Building and better understanding vision-language models: insights and future directions.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Building and better understanding vision-language models: insights and future directions

Reference 18

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Source-reported events for the cited work

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Observation 95da90b2-2b4a-4535-982e-5dc1eaeffa60 · outbound

This paper cites PLAID: an efficient engine for late interaction retrieval,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries PLAID: an efficient engine for late interaction retrieval,

Reference 19

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Observation 32a57410-43ba-4e64-a528-aa5c50d681dd · outbound

This paper cites Colbertv2: Effective and efficient retrieval via lightweight late interac- tion,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Colbertv2: Effective and efficient retrieval via lightweight late interac- tion,

Reference 20

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Observation ac0ccd00-1b4a-400a-a594-bd98ec124d25 · outbound

This paper cites Effective multi-modal retrieval based on stacked auto-encoders,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Effective multi-modal retrieval based on stacked auto-encoders,

Reference 21

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Observation b491b327-4ee5-4c70-8784-043690ea8d6c · outbound

This paper cites Chameleon: Foundation models for fairness-aware multi-modal data augmentation to enhance coverage of minorities,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Chameleon: Foundation models for fairness-aware multi-modal data augmentation to enhance coverage of minorities,

Reference 22

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Observation 2481204d-318e-48fe-bbbd-9e3e32ef19e9 · outbound

This paper cites Alleviating the inconsistency of multimodal data in cross-modal retrieval,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Alleviating the inconsistency of multimodal data in cross-modal retrieval,

Reference 23

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Observation 1123d9ad-8d65-4708-bbd5-a76f6bc9d785 · outbound

This paper cites MUST: an effective and scalable framework for multimodal search of target modality,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries MUST: an effective and scalable framework for multimodal search of target modality,

Reference 24

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Observation 79297d57-feb5-47d0-8f3e-009e0e3863d7 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Learning transferable visual models from natural language supervi- sion,

Reference 25

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Observation 2ca2ca47-54b9-49e5-a419-3a7e53b18752 · outbound

This paper cites BLIP-2: bootstrapping language-image pre-training with frozen image encoders and large language models,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries BLIP-2: bootstrapping language-image pre-training with frozen image encoders and large language models,

Reference 26

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Observation f581270e-70ca-4a5c-9c72-ced6e22aad07 · outbound

This paper cites Sigmoid loss for language image pre-training,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Sigmoid loss for language image pre-training,

Reference 27

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Observation cd15db70-a0ab-41bf-80c9-76d75d9e088e · outbound

This paper cites Momentum contrast for unsupervised visual representation learning,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Momentum contrast for unsupervised visual representation learning,

Reference 28

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Observation bf27e1be-3b65-4a33-b688-a8b0e6e8da3a · outbound

This paper cites Efficient and robust approxi- mate nearest neighbor search using hierarchical navigable small world graphs,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Efficient and robust approxi- mate nearest neighbor search using hierarchical navigable small world graphs,

Reference 29

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Observation 90672991-b2ff-46e2-9743-242619173bfd · outbound

This paper cites Diskann: fast accurate billion-point nearest neighbor search on a single node,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Diskann: fast accurate billion-point nearest neighbor search on a single node,

Reference 30

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Observation 559aa8c6-880c-4e6f-bb9d-ea9a322f5de7 · outbound

This paper cites Starling: An i/o-efficient disk-resident graph index framework for high-dimensional vector similarity search on data segment,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Starling: An i/o-efficient disk-resident graph index framework for high-dimensional vector similarity search on data segment,

Reference 31

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Observation 1d1c3da5-695c-40f8-8e28-0cdd52538fa1 · outbound

This paper cites Milvus: A purpose-built vector data management system,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Milvus: A purpose-built vector data management system,

Reference 32

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Observation a8197a55-153d-4271-bdaf-7773e4306f07 · outbound

This paper cites Single-Server Private Linear Transformation: The Individual Privacy Case.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Single-Server Private Linear Transformation: The Individual Privacy Case

Reference 33

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Observation b9f34032-ad86-42b6-b9f8-cf491e358f2f · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 34

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Observation 35c6ece1-1d1c-49bb-a804-9b686ae65f32 · outbound

This paper cites Stair: Learning sparse text and image representation in grounded tokens,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Stair: Learning sparse text and image representation in grounded tokens,

Reference 35

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Observation 2f2cffa8-6a4f-4114-9d3e-1944291527c5 · outbound

This paper cites Multimodal learned sparse retrieval with probabilistic expansion control,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Multimodal learned sparse retrieval with probabilistic expansion control,

Reference 36

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Observation 1a5958df-8fa2-4184-acc9-3d81bb785390 · outbound

This paper cites BIRDIE: nat- ural language-driven table discovery using differentiable search index,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries BIRDIE: nat- ural language-driven table discovery using differentiable search index,

Reference 37

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This paper cites Lora: Low-rank adaptation of large language models,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Lora: Low-rank adaptation of large language models,

Reference 38

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Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries I/o-efficient algorithms and environments,

Reference 39

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This paper cites Pneuma:leveraging llms for tabular data representation and retrieval in an end-to-end system,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Pneuma:leveraging llms for tabular data representation and retrieval in an end-to-end system,

Reference 40

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This paper cites Hierarchical multimodal trans- formers for multipage docvqa,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Hierarchical multimodal trans- formers for multipage docvqa,

Reference 41

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This paper cites Infographicvqa,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Infographicvqa,

Reference 42

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Observation 96638209-aabf-458e-960b-862e91a9cf0b · outbound

This paper cites Multimodal arxiv: A dataset for improving scientific comprehension of large vision-language models,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Multimodal arxiv: A dataset for improving scientific comprehension of large vision-language models,

Reference 43

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Observation 167260e8-e30b-4a55-90be-41ce3056d44d · outbound

This paper cites Plotqa: Rea- soning over scientific plots,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Plotqa: Rea- soning over scientific plots,

Reference 44

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Observation b2ec0705-ca05-4393-ad97-56c7446b6850 · outbound

This paper cites Paddleocr: Multi-language ocr toolkit based on paddlepaddle,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Paddleocr: Multi-language ocr toolkit based on paddlepaddle,

Reference 45

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Observation 912d9305-7727-4fbe-9f28-7aa1f6fee834 · outbound

This paper cites Nv-embed: Improved techniques for training llms as generalist embedding models,.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Nv-embed: Improved techniques for training llms as generalist embedding models,

Reference 46

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Observation ec9cfd95-3ee9-4d9e-a100-81f8bfad8a97 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 47

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verified exact
local_arxiv, observed 2026-07-04T05:39:39.647078Z

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Pith citing papers

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