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Paper Citation Record · LEDGER

Visual RAG: Expanding MLLM visual knowledge without fine-tuning

As of 11 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 2 inbound Pith citation observations for arXiv:2501.10834.

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

pith.paper-citation-record.v1
2501.10834 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:59:22.491936Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:07:30.113146Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T17:03:01.237563Z

Reference resolution

44 of 44 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8cc6c247-1757-4158-8158-1f4096d1717b · outbound

This paper cites GPT-4 Technical Report.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:22.269743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:22.269743Z digest=sha256:d89416846ce12b1844297a75b061bbe773886880268d937f0a128c148a2e13a7

Observation a0fb9891-a3eb-4e34-961e-58ba32199b34 · outbound

This paper cites Seven Failure Points When Engineering a Retrieval Augmented Generation System.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:22.276228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:22.276228Z digest=sha256:8592c95bedc7992f443d6f0e3feeb18e142c4c377a4a9dc87c5a082fdaa5debf

Observation aab9b469-a916-4d49-9709-0d89f75005da · outbound

This paper cites Beery, G.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Beery, G

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:59:23.168998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:59:22.282760Z digest=sha256:64aefaa87a18919c0b5b24fdbeb39656dd3e4f41a3850a70ce7205c2f2e3144b

Observation d355aea3-a561-46b3-824d-f2e2687c5811 · outbound

This paper cites Brown, B.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Brown, B

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:22.288188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:22.288188Z digest=sha256:271b52295302fb5dc80eb691c88281cea33263908906b1d1fe377889aa6f1d02

Observation af1f8924-905b-453f-8c48-bc293817c2ed · outbound

This paper cites Extending Context Window of Large Language Models via Positional Interpolation.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Extending Context Window of Large Language Models via Positional Interpolation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:22.293710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:22.293710Z digest=sha256:e08a25ee6b66938f320b97ead778e92c05390ab4cf430b865cba02b4c5047900

Observation 4a5122be-9685-4d68-a5bd-093bbafe94e1 · outbound

This paper cites Describing Textures in the Wild.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Describing Textures in the Wild

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:22.299975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:22.299975Z digest=sha256:89a60c1af84148d839353e3c1071b2f247b0eb705dd9f9598290e03b8e3b3e0c

Observation 568430ab-122e-450f-8111-17889571633d · outbound

This paper cites A Survey on In-context Learning.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning A Survey on In-context Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:22.307226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:22.307226Z digest=sha256:a3d9e8bb7b1c97e423a998c580f031bb99be6d8f06bbe15a31d051e12c027db9

Observation 2014e0b0-99e8-4fe4-9c6e-2176ec45369c · outbound

This paper cites The Faiss library.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning The Faiss library

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:22.313728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:22.313728Z digest=sha256:08601c461eefdf174798633a78b27e7db2cbe3b1f92193ba8aa0f4b246720cc8

Observation 38860a84-a34c-4cd6-9d80-ac34c38cf331 · outbound

This paper cites Multimodal Autoregressive Pre-training of Large Vision Encoders.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Multimodal Autoregressive Pre-training of Large Vision Encoders

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:22.319238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:22.319238Z digest=sha256:b9e265617ed3e0b5ea330bb3f9256679743161f6a68694331b71751f6c6edcb6

Observation 755370d3-43a8-4d1a-98e7-c50d29c99622 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:22.325335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:22.325335Z digest=sha256:dab83444cf9710a58e15fce6598274b21c3cd70d8d282df8a22e533a4e538afe

Observation cdc80ffe-d3e7-406c-9b49-22f2d8d9ab80 · outbound

This paper cites Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:22.330426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:22.330426Z digest=sha256:e37940f7f2ac166d4c261f2cd1e98834bd357714dad93bd5f338ce0f5bd06722

Observation 10f6fb59-535a-438c-9272-2baac4694326 · outbound

This paper cites A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:22.336308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:22.336308Z digest=sha256:d34320b8979555642676383b1a9819b800f6a94d2a1f38dcc9adbc9c4e97104c

Observation 878b5f7d-fbef-4806-bc6c-5fe47eb63fff · outbound

This paper cites How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:22.341479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:22.341479Z digest=sha256:526d64ef8d1a2bade51bd3e9fbd417716b13c2b517ea9932134677033b7916b6

Observation 4be7e8fb-bfc2-491a-81e5-6177141e93c7 · outbound

This paper cites Helber, B.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Helber, B

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:22.346081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:22.346081Z digest=sha256:6f99bd7dc00eab70154e4b9365e9c2d74df3e46822b57a8f6097758da9999d89

Observation 2406fd7c-05a7-437b-a4e3-8e1aa567c1a7 · outbound

This paper cites Irvin, P.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Irvin, P

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:59:23.134498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:59:22.350153Z digest=sha256:a972dd83ede76ef38205b6164f5e3f54f21868d350074964779d166ff3ac0ae9

Observation 8c3d950b-5959-47d7-895c-7fcbb00259ee · outbound

This paper cites Atlas: Few-shot Learning with Retrieval Augmented Language Models.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Atlas: Few-shot Learning with Retrieval Augmented Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:22.354342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:22.354342Z digest=sha256:2060f1a5cac3d09c47587e52d1ee06dac4aa3ad57f27ce5e33ffa04d9e810bd2

Observation 90c0a84a-eb42-4456-b818-2baea7d779da · outbound

This paper cites Jiang, J.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Jiang, J

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:59:23.119462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:59:22.358630Z digest=sha256:b73eed48d53e4a374b0efce91be6b7fa228836634a5d5e35ee2f8b3f4ac5824b

Observation 2649e664-190a-4b99-9697-ae796a5695b7 · outbound

This paper cites an unresolved cited work.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:59:23.103237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:59:22.367221Z digest=sha256:2a11b7f11b7e5622abf8d4b9c3cd89939823cefa4df442da72b6aac5c6b7a6ec

Observation 7aa57557-9698-4164-bef9-9e4ead33e8ce · outbound

This paper cites Challenges and Applications of Large Language Models.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Challenges and Applications of Large Language Models

Reference 19

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unresolved
no resolver link, observed 2026-08-10T18:59:22.371739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:22.371739Z digest=sha256:8635a429ebe8180ea819ca43902c241f5f9362478db9375eb30f0bf89b2e7651

Observation 83712999-5c27-4828-895d-c7063830d2da · outbound

This paper cites an unresolved cited work.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:59:23.086780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:59:22.376119Z digest=sha256:93f852ed3cd6f421620727367469e6834a280ebfaa87e74db342b5619a33e70d

Observation 06364b85-16e0-4001-92c9-90b3672b29e8 · outbound

This paper cites Lewis, E.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Lewis, E

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:59:23.071056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:59:22.381356Z digest=sha256:f63ae0236bb614b1e019bc8d982d05f427d65eb3df1e9eee40b020db8e3af11d

Observation 51c2f389-ba5c-45e2-9892-f62c5f1d5bdc · outbound

This paper cites an unresolved cited work.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:59:23.055449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:59:22.385732Z digest=sha256:abb840951af53332f7406cf00f602cb4b50aa807ae6294901ebcb2dfe335884a

Observation 128f9d1c-fba5-4a0e-a70d-63fe7cb728a1 · outbound

This paper cites an unresolved cited work.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:59:23.039771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:59:22.391260Z digest=sha256:c822439203c267a7424567e4706e67507a1ddf7b089855776edf361b212e8b06

Observation ee9b6648-2851-4ed9-bb96-d181b21eb8b3 · outbound

This paper cites Nguyen, T.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Nguyen, T

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:59:23.024658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:59:22.402049Z digest=sha256:c56a620d7af57f6213f8fc05bbd3bef8501688493d99ae7d36d82bfd253384cf

Observation 866393ae-e8e7-4e37-9076-ee9d89a2fac5 · outbound

This paper cites Ortiz-Jimenez, A.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Ortiz-Jimenez, A

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:59:23.008920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:59:22.406705Z digest=sha256:a2c25300890b7a563fd441222bd1c5a628ff5f8905159144f740c3a8b0b5d8e0

Observation aff82a76-07b7-4c16-9cf2-c2b939b4c83d · outbound

This paper cites an unresolved cited work.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:22.411933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:22.411933Z digest=sha256:907ff7f8df66b672483db1908a9fb4333019c29fe63e0cb26b4352d98b0c403a

Observation da3c2a30-1b58-4e10-ae7c-7b76a5247812 · outbound

This paper cites Radford, J.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Radford, J

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:59:22.983805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:59:22.416511Z digest=sha256:aa5bbec6fd4d44ffb0a872bdf57fb4ee95daf57649f9ef55abaa087477464ec9

Observation b4d1da23-5809-4ce5-8f39-16d49a141781 · outbound

This paper cites Silva-Rodriguez, H.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Silva-Rodriguez, H

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:59:22.968030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:59:22.427687Z digest=sha256:3ed79ee6973571e819250ea9000195352ca5186b4655447cc0180abe70dbdbe6

Observation 8f8beeeb-ddde-44b0-acf4-062dabdda868 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:22.432908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:22.432908Z digest=sha256:33e6592b04514d8ab18650b612479f2c8613a916bfa30318298fb1ec77da3669

Observation 6ff4640c-aa9f-48fa-842d-61ce357fd409 · outbound

This paper cites Tschandl, C.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Tschandl, C

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:59:22.953120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:59:22.437699Z digest=sha256:373c8f066be91760d9f4173c5e9bf8c8e6665a320a5c2f7c14e6d72f10560c5b

Observation 8bfb78a1-a42f-411e-ba62-697bdec6ed79 · outbound

This paper cites an unresolved cited work.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:59:22.936220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:59:22.442876Z digest=sha256:dad2f536733dd8fef269315710c79772e2f5f2d19ce69ec8595317ec0f742622

Observation 66da3bb4-e596-40e2-9698-8db509a4e6ea · outbound

This paper cites an unresolved cited work.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:59:22.919874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:59:22.447237Z digest=sha256:f0c629d436cd4fc9e89b32f4ad54849412d76ec003226d29f71046a7adf0388e

Observation dbde62b8-2068-4c03-a474-6e15080f5c59 · outbound

This paper cites Emergent Abilities of Large Language Models.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Emergent Abilities of Large Language Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:22.456916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:22.456916Z digest=sha256:17dbdcae8a8a89489d2ad1359655f08da36e5f739c0f6a860103e4aee147f423

Observation 59cbaa03-ccb1-45d9-a8ef-62d3f84cd4a6 · outbound

This paper cites an unresolved cited work.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:59:22.902470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:59:22.461498Z digest=sha256:2d0d18f53ba2ced910e9830748277282d01618a8e751a5bc363865a62aa7fc26

Observation 14f0035a-4d33-485f-9aa4-8f35b7e6ff2e · outbound

This paper cites Yang and S.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Yang and S

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:22.466041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:22.466041Z digest=sha256:ebc506e64ba957ee7e788b37c4ff231896661959daa44f9b4f73d6985b71624e

Observation c259c935-6dd4-47cc-9345-2f8f1741199c · outbound

This paper cites an unresolved cited work.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:59:22.877434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:59:22.470532Z digest=sha256:7755ceecc1610d8b760f8aa5e93f87270a3c3c245ddc6672da516b52cbc46375

Observation e9632098-2d8d-4b51-bdac-4de454430426 · outbound

This paper cites MM-LLMs: Recent Advances in MultiModal Large Language Models.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning MM-LLMs: Recent Advances in MultiModal Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:22.478782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:22.478782Z digest=sha256:9e4f239b0bc6759fffb0ec1e26af5fa24687b3e9f7fc0671e659f73b4f94cf03

Observation cb701db6-e687-4528-a04e-e786a440bf23 · outbound

This paper cites On the Out-Of-Distribution Generalization of Multimodal Large Language Models.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning On the Out-Of-Distribution Generalization of Multimodal Large Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:22.482907Z

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Observation 8b895342-438d-4f24-a4d4-b4d086f17d08 · outbound

This paper cites Towards Unified and Effective Domain Generalization.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Towards Unified and Effective Domain Generalization

Reference 40

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This paper cites doi: 10.1093/nsr/nwae403.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning doi: 10.1093/nsr/nwae403

Reference 41

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This paper cites A Survey of Large Language Models.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning A Survey of Large Language Models

Reference 45

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Observation de00d85b-7f45-4740-9543-dfcb5b4893ba · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Learning Transferable Visual Models From Natural Language Supervision

Reference 2021

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This paper cites Lost in the Middle: How Language Models Use Long Contexts.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Lost in the Middle: How Language Models Use Long Contexts

Reference 2023

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Observation 9b2465b4-c836-4a5e-9a6b-bb7a62a0222d · outbound

This paper cites Many-Shot In-Context Learning in Multimodal Foundation Models.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Many-Shot In-Context Learning in Multimodal Foundation Models

Reference 2024

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Pith citing papers

Observation 6357fed2-cb16-462c-bb6a-e72e161a95d0 · 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 Visual RAG: Expanding MLLM visual knowledge without fine-tuning

Reference 46

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Observation 188c0221-fc41-4d67-aec8-88065a578630 · inbound

SPARK-IL: Spectral Retrieval-Augmented RAG for Knowledge-driven Deepfake Detection via Incremental Learning cites this paper.

SPARK-IL: Spectral Retrieval-Augmented RAG for Knowledge-driven Deepfake Detection via Incremental Learning Visual RAG: Expanding MLLM visual knowledge without fine-tuning

Reference 1

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