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Paper Citation Record · LEDGER

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG

As of 22 August 2026, this Paper Citation Record lists 100 of 174 outbound references and 0 inbound Pith citation observations for arXiv:2607.22643.

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

pith.paper-citation-record.v1
2607.22643 v1

Coverage vector

measured 100 of 174 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:20:56.027680Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

100 of 174 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved97
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1878365f-40db-4748-92c5-1c24fabcac6a · outbound

This paper cites Langley , title =.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Langley , title =

Reference 1

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unresolved
no resolver link, observed 2026-08-02T10:20:48.767283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:48.767283Z digest=sha256:f89f2a7c60d87aedaa8d1bd4876354e160c0d2a8e5235e469e50d4201b395b4e

Observation e8291178-5567-44d1-835c-81a9d46650cb · outbound

This paper cites an unresolved cited work.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Unresolved cited work

Reference 2

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no resolver link, observed 2026-08-02T10:20:48.928952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:48.928952Z digest=sha256:ba893f52f614bc150ba120b17f23a58f9dbde3a87370ca28604d4df606772a4a

Observation 9a21aa8a-2e37-49b5-81f6-1dd4bfe5bf2d · outbound

This paper cites an unresolved cited work.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Unresolved cited work

Reference 3

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parse uncertain
no resolver link, observed 2026-08-02T10:20:49.119818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:49.119818Z digest=sha256:be6f6a54f2785adc40a987d7b5e1076fbc403f3c56b8f3c1ee47d76da139fb31

Observation d6c07b3b-8aae-49d6-9b2c-763963211e12 · outbound

This paper cites an unresolved cited work.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Unresolved cited work

Reference 4

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no resolver link, observed 2026-08-02T10:20:49.256522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:49.256522Z digest=sha256:dd4e634a0e384888c8d3c4935a083ebee89af839a58fe6fb65c397236b5553e3

Observation 220e942b-08ca-499c-8369-5c745d97e212 · outbound

This paper cites an unresolved cited work.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Unresolved cited work

Reference 5

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no resolver link, observed 2026-08-02T10:20:49.343810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:49.343810Z digest=sha256:d687fe82d44248fc1da912a5f6ecf9da080c5b3896ee2ed41ff31072c14bcded

Observation dc3090e8-ef1e-4e09-9281-24668e02c020 · outbound

This paper cites an unresolved cited work.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Unresolved cited work

Reference 6

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no resolver link, observed 2026-08-02T10:20:49.455965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:49.455965Z digest=sha256:e253ad73c424f48704fc52700111dea156b1bdaf8fc9e274c90fa65965a76827

Observation 14c3adf6-1cd5-4965-94f6-367e6f6525ff · outbound

This paper cites Newell and P.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Newell and P

Reference 7

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unresolved
no resolver link, observed 2026-08-02T10:20:49.579508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:49.579508Z digest=sha256:ad376bdaad57bc752b25037f5fcee8f51c25739b73fde05b294491217c9484dd

Observation b55fdc29-a96c-45ad-8fe7-6d540077fda2 · outbound

This paper cites an unresolved cited work.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Unresolved cited work

Reference 8

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unresolved
no resolver link, observed 2026-08-02T10:20:49.667492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:49.667492Z digest=sha256:7d28268a4970e76ef1aabd3e05fa99a4e299ea7a57af7b24c4b5f1438a819fbb

Observation da2b216e-da86-4f05-b46c-dd6eb571a712 · outbound

This paper cites KAT : A Knowledge Augmented Transformer for Vision-and-Language.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG KAT : A Knowledge Augmented Transformer for Vision-and-Language

Reference 9

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no resolver link, observed 2026-08-02T10:20:49.799258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:49.799258Z digest=sha256:038f6ae79974c150fcdd4f3cdfbfd324781b03a495b233baa73eb090f7f968df

Observation 604e46b5-abad-4fd4-afc2-3aadf90cc604 · outbound

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

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Advances in neural information processing systems , volume=

Reference 10

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no resolver link, observed 2026-08-02T10:20:49.886718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:49.886718Z digest=sha256:9f2fb13dd863c12ef48ed94a577110c70c9794eecb2057a8a5a38e71c22e3f07

Observation b5aa9a5c-0d36-44f3-b7dc-f583bb3df61c · outbound

This paper cites Retrieval Augmented Visual Question Answering with Outside Knowledge.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Retrieval Augmented Visual Question Answering with Outside Knowledge

Reference 11

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unresolved
no resolver link, observed 2026-08-02T10:20:49.991671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:49.991671Z digest=sha256:d18dadeaf547b9f641fe578aa425efc081e95c75fdd885efd8b158da590cebdc

Observation 258beba9-884a-4eb9-9d6d-4bcdc0451995 · outbound

This paper cites M u RAG : Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG M u RAG : Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text

Reference 12

Resolution
verified exact
doi, observed 2026-08-02T10:23:28.684319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-02T10:20:50.115005Z digest=sha256:3604ea91f339546b949602b435a1214022cfbd104e70d9877fb0aca807c91dad

Observation 24a8289c-c4dc-4d26-99d7-9efe1494edb4 · outbound

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

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 13

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unresolved
no resolver link, observed 2026-08-02T10:20:50.208941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:50.208941Z digest=sha256:0fb5626fa23b39ebca7da4da875f2eeea9998072098e040b1df0739391c20e96

Observation 27be4eae-a4ff-43a8-8cbe-3dece275ac9f · outbound

This paper cites EchoSight: Advancing Visual-Language Models with Wiki Knowledge.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG EchoSight: Advancing Visual-Language Models with Wiki Knowledge

Reference 14

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no resolver link, observed 2026-08-02T10:20:50.309084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:50.309084Z digest=sha256:46bd8ea01406b0fc61fc9674a1e99e8605107b046a707135c9e47feb93bf0a15

Observation fe58f096-c40e-45bf-a52e-e27983b33527 · outbound

This paper cites VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents

Reference 15

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unresolved
no resolver link, observed 2026-08-02T10:20:50.420097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:50.420097Z digest=sha256:6fec9ed9f63650545f7b49378def5443ac187fe167501ef6a55c023110cfe67b

Observation f69f118a-c3ce-44e1-b755-9225b58e710c · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 16

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unresolved
no resolver link, observed 2026-08-02T10:20:50.571332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:50.571332Z digest=sha256:8beb065deada4e2ef2e33c0cd9eb09d42a022cbeeb62636a58c91ffb563175cf

Observation 11576698-4461-4e44-88f8-c8736543b8bb · outbound

This paper cites mR$^2$AG: Multimodal Retrieval-Reflection-Augmented Generation for Knowledge-Based VQA.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG mR$^2$AG: Multimodal Retrieval-Reflection-Augmented Generation for Knowledge-Based VQA

Reference 17

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no resolver link, observed 2026-08-02T10:20:50.701345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:50.701345Z digest=sha256:efa521f0b81e8e83463f5d4085c9a364e0e6fb13257476b1c89ec07ab85ca766

Observation 7accf835-9fe6-401e-8740-42a6008fc2ba · outbound

This paper cites RoRA-VLM: Robust Retrieval-Augmented Vision Language Models.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG RoRA-VLM: Robust Retrieval-Augmented Vision Language Models

Reference 18

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no resolver link, observed 2026-08-02T10:20:50.807195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:50.807195Z digest=sha256:b230edab0bb87a8dfd9ba666c4bdf0fc35afff92a738f4b47d8db63e7b988d87

Observation 88f469f5-e898-4ebe-a509-99c2b00d22dc · outbound

This paper cites CoRe-MMRAG: Cross-Source Knowledge Reconciliation for Multimodal RAG.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG CoRe-MMRAG: Cross-Source Knowledge Reconciliation for Multimodal RAG

Reference 19

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no resolver link, observed 2026-08-02T10:20:50.924849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:50.924849Z digest=sha256:1ccc3600dcee1df389b38ecc986e17f5807eca70be7ed1fa1f6cb166d7583853

Observation fc6b1e8c-9a6b-4029-8c8f-b6e36aff8f2b · outbound

This paper cites MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:51.084900Z digest=sha256:0fd1f05fb58f66b3cd6ebe7eda44217cb11c66c1a77548ccfb36f9af0a391abb

Observation 8b454b7e-97a7-4f1b-bb1a-8e39838fc716 · outbound

This paper cites Yu , booktitle=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Yu , booktitle=

Reference 21

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no resolver link, observed 2026-08-02T10:20:51.171957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:51.171957Z digest=sha256:fb328249c445d84c1e1b133f0d630e6ee1c8afcf28c4dc3ca8550c1a98b1717c

Observation 8179bfcf-91ee-4982-abc8-764905b7bf40 · outbound

This paper cites MMSearch-R1: Incentivizing LMMs to Search.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG MMSearch-R1: Incentivizing LMMs to Search

Reference 22

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no resolver link, observed 2026-08-02T10:20:51.281748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:51.281748Z digest=sha256:7f85346e2df39c53f9498e3f84d5ee7fe811cff3312bb82fce6738b73de1b733

Observation 2953fe4a-78d4-46ef-aee2-c96133ab1663 · outbound

This paper cites The eleventh international conference on learning representations , year=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG The eleventh international conference on learning representations , year=

Reference 23

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no resolver link, observed 2026-08-02T10:20:51.364925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:51.364925Z digest=sha256:943d98f67f21a8ab7c4fa914f93251890c22c9e4fa0c69db07e0011d5f89013e

Observation 595a6a01-a7ea-4f4c-a9c1-0785ed215ef1 · outbound

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

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Advances in Neural Information Processing Systems , volume=

Reference 24

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no resolver link, observed 2026-08-02T10:20:51.430924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:51.430924Z digest=sha256:dca17807bb92c0a5b6fb3ec153227c4cc1df77107dc475b6665927447396b5ad

Observation dfc8a1db-ba66-494e-a5c3-c8de96e31970 · outbound

This paper cites Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

Reference 25

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no resolver link, observed 2026-08-02T10:20:51.524195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:51.524195Z digest=sha256:58b7f3e4a184998e0307fd044f5020a0d5ce386a7c1919c1e1f539784d2eae8d

Observation 3c7bf328-b330-4efc-bde4-58b4d44109c9 · outbound

This paper cites MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action

Reference 26

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no resolver link, observed 2026-08-02T10:20:51.645352Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:51.645352Z digest=sha256:9093b702e6eb6f01aad7d66d31d580a107dd2d0b280520a37fffbe7ce49320b1

Observation d7b9da89-a5b1-4dca-9d58-54d480d595d5 · outbound

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

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Advances in Neural Information Processing Systems , volume=

Reference 27

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no resolver link, observed 2026-08-02T10:20:51.775401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:51.775401Z digest=sha256:d2a0d10adfb4ed92fca17a15da3fb43bcc624b81634fa8cde99c4f56721c798d

Observation 529e7052-53bd-4eae-ad3b-619b21a92735 · outbound

This paper cites 2022 , eprint=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG 2022 , eprint=

Reference 28

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no resolver link, observed 2026-08-02T10:20:51.875662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:51.875662Z digest=sha256:19c240c823bfb30380f3ad2d13552e73c97a9e35623c7de21d6719f793aaacdf

Observation d56b4660-c1bc-4c1d-8cd3-a64bd1ea01b0 · outbound

This paper cites 2022 , eprint=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG 2022 , eprint=

Reference 29

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no resolver link, observed 2026-08-02T10:20:51.986882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:51.986882Z digest=sha256:d16862daa3f73dd2a8acecdf59c631c2381ef8e892fe4e52c0ce0d02dec000bc

Observation 06cda2bb-a57e-4ca8-933b-72f7f6635cfd · outbound

This paper cites 2023 , eprint=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG 2023 , eprint=

Reference 30

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no resolver link, observed 2026-08-02T10:20:52.075979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:52.075979Z digest=sha256:5e138f0399911a91bd58cbbe9dc2c21031ec6109cf85eea3f66fd0f9b1858e66

Observation 8a247752-1c36-47c1-b7d5-bb74cd584bfe · outbound

This paper cites 2023 , eprint=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG 2023 , eprint=

Reference 31

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no resolver link, observed 2026-08-02T10:20:52.170948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:52.170948Z digest=sha256:35d4b1eb16547d1deb910e799ff153a8a1613f3fbc9687576cecf4624e7fb4bc

Observation 6889cff0-5a28-40fb-9076-092747d66b6a · outbound

This paper cites 2023 , eprint=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG 2023 , eprint=

Reference 32

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no resolver link, observed 2026-08-02T10:20:52.226835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:52.226835Z digest=sha256:40630940228d2dcfdaf9993c45eb04a8e60fa2895ee844de9d98331ccb4e969d

Observation 67f9600e-ca44-4c66-8627-85d82d2ed25a · outbound

This paper cites 2023 , eprint=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG 2023 , eprint=

Reference 33

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no resolver link, observed 2026-08-02T10:20:52.336474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:52.336474Z digest=sha256:9a24c8ae72072793cc2663d5b3cb37da95521205a77e27bef32f1655c1fee2ed

Observation 2ed0328d-c333-433b-8d6b-90661b16584d · outbound

This paper cites 2024 , eprint=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG 2024 , eprint=

Reference 34

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no resolver link, observed 2026-08-02T10:20:52.374778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:52.374778Z digest=sha256:147f3df1fb0ef87b2639edd685d80cce62feab0253b442f3ff2e3a03e01ffa2c

Observation ebc3b02c-d9d0-47ab-8f5e-672c94192bf8 · outbound

This paper cites 2023 , eprint=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG 2023 , eprint=

Reference 35

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no resolver link, observed 2026-08-02T10:20:52.458836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:52.458836Z digest=sha256:0c536bed446b12d20aa65764baaaa47c673434d2f034f52dc200c8908921bbe5

Observation bfdd7a1d-5754-44bc-b4ee-de7fe08b7503 · outbound

This paper cites Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 36

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no resolver link, observed 2026-08-02T10:20:52.536689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:52.536689Z digest=sha256:c01657dc6e337ad6105ef3f1c2386acadee43a39fc478beed83281a2875b9101

Observation 4190eaad-6e19-499c-b40d-5e969ec59207 · outbound

This paper cites ACL 2019-57th Annual Meeting of the Association for Computational Linguistics , year=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG ACL 2019-57th Annual Meeting of the Association for Computational Linguistics , year=

Reference 37

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no resolver link, observed 2026-08-02T10:20:52.636042Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:52.636042Z digest=sha256:f2ffed4da781324d3ced885c81207ac151f21ccfda2b57bf3bf9fa76d970e362

Observation 5b8b08be-9725-42c0-a80f-4ea6aacbc4a0 · outbound

This paper cites , author=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG , author=

Reference 38

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no resolver link, observed 2026-08-02T10:20:52.744203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:52.744203Z digest=sha256:b4ca0a2d700376fe2fa16b3f59a4a4dd9614648d14db810d7df0815372dfb136

Observation 0d1f5f6c-ced9-4a93-a88f-74a2fda270f4 · outbound

This paper cites ADDMU : Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG ADDMU : Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation

Reference 39

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doi, observed 2026-08-02T10:23:28.443295Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-02T10:20:52.811660Z digest=sha256:c94257a32760317920dccb6af0db454be7740242772a6d2b9e18b1b20dbc791c

Observation 4a58f03a-e63f-4532-935c-1486ec256cb0 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , month =.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , month =

Reference 40

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source=arxiv_source observed=2026-08-02T10:20:52.917282Z digest=sha256:f00771935fb44eb42282b3d3a9338b179415056e41635873101f662779e192df

Observation a290cbe6-6607-4499-bb47-197b96b80655 · outbound

This paper cites Efficient error models for fault-tolerant architectures and the Pauli twirling approximation.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Efficient error models for fault-tolerant architectures and the Pauli twirling approximation

Reference 41

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source=arxiv_source observed=2026-08-02T10:20:53.015529Z digest=sha256:783fccd9ae941570691479367f528b691a9faffb4f6400f603bd91aabad9dfea

Observation 3ddb421c-b2c4-471d-bef7-3ab8f0cad869 · outbound

This paper cites Trusted Aggregation (.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Trusted Aggregation (

Reference 42

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source=arxiv_source observed=2026-08-02T10:20:53.096678Z digest=sha256:0f8ee4a00579b9c5c8bdfc2852bd1a8f54c9ffa9c78ce492a3a73268ea323d09

Observation c2514a1e-fb68-48ef-90a6-cf6e0c3b4c29 · outbound

This paper cites 2024 , url=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG 2024 , url=

Reference 43

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source=arxiv_source observed=2026-08-02T10:20:53.161655Z digest=sha256:41ccac162dcc3a96aab7d24c5ebe296141b2f14398110b301c26c69ef6e750f7

Observation 0f46a856-f9cd-40e3-acdd-135d0518fa0a · outbound

This paper cites European Conference on Computer Vision (ECCV) , year=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG European Conference on Computer Vision (ECCV) , year=

Reference 44

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source=arxiv_source observed=2026-08-02T10:20:53.227891Z digest=sha256:fb23e4e8e0de6640d106016edc292e2379bb65d83dc2b2b30f04fd4554d2ea5a

Observation c74b8cd9-78bb-4606-94f0-6a7add5ababc · outbound

This paper cites an unresolved cited work.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Unresolved cited work

Reference 45

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source=arxiv_source observed=2026-08-02T10:20:53.306046Z digest=sha256:a7fbf459aed073ca3ee9a511f93d966d77296849560de42cc2efb237345d8b26

Observation 83c4dcc5-ec6a-4d11-aa67-87b50e7b6516 · outbound

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

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Advances in neural information processing systems , volume=

Reference 46

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source=arxiv_source observed=2026-08-02T10:20:53.340298Z digest=sha256:0ea3ade4554ef1a1ed62e74e8ee6586d363f5a4b700a95a6594cafc6abc2a2fa

Observation e4939adb-e144-456e-93df-e14e5b6a985b · outbound

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

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Advances in Neural Information Processing Systems , pages=

Reference 47

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source=arxiv_source observed=2026-08-02T10:20:53.427091Z digest=sha256:6bced2d0c9d641ab6df31121ec9c2c2fb036703ffe5b24a15a42ee705cea4701

Observation 8a55f962-a2cf-429e-8048-eebc9099d46f · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)(acceptance ratio 25.8\ month =.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)(acceptance ratio 25.8\ month =

Reference 48

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source=arxiv_source observed=2026-08-02T10:20:53.486444Z digest=sha256:cc6d8c909b9c31c2d45efbd486709d1d9ad87177e876cbdebebd479831eba188

Observation fca8d844-e46e-42ed-b764-83c9b363143e · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (

Reference 49

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source=arxiv_source observed=2026-08-02T10:20:53.541680Z digest=sha256:44fa3b71b72aa563c76ba23d5711eaf110f66e57147a8edbe4adc7e73c94195f

Observation 7fb0a172-7dfb-41ca-b88b-c7af150af6c4 · outbound

This paper cites an unresolved cited work.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Unresolved cited work

Reference 50

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source=arxiv_source observed=2026-08-02T10:20:53.593948Z digest=sha256:20d620f3c241798f4f38c43d3ea195d9e6aec879c199bc508e3105d66cd9b6b6

Observation 197e2602-a09e-4cd2-a344-b647385f5abd · outbound

This paper cites Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS) , year=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS) , year=

Reference 51

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source=arxiv_source observed=2026-08-02T10:20:53.655316Z digest=sha256:310fa7622274302a62d728b85ee760b89f7b2c1485dc3f1b82e23d828a7622b2

Observation 71ede98e-6652-43bb-8146-5c917ec41cde · outbound

This paper cites Technometrics (Impact Factor 2.988) , pages=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Technometrics (Impact Factor 2.988) , pages=

Reference 52

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source=arxiv_source observed=2026-08-02T10:20:53.768098Z digest=sha256:188a4847262f19c5ba1a7a43224c985a51a1e080ed73f23009959dfa44a07f62

Observation 39e0c203-9756-4995-994c-a4e4ef15e242 · outbound

This paper cites Transactions on Machine Learning Research , issn=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Transactions on Machine Learning Research , issn=

Reference 53

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source=arxiv_source observed=2026-08-02T10:20:53.844759Z digest=sha256:1687d4a240ad14c37fedccc6b512de5dcadc1509dc5e75384ecdc41493e4eceb

Observation 18ce49e2-1929-42fa-ad13-26ec5415b5c3 · outbound

This paper cites Defense Against Syntactic Textual Backdoor Attacks with Token Substitution.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Defense Against Syntactic Textual Backdoor Attacks with Token Substitution

Reference 54

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source=arxiv_source observed=2026-08-02T10:20:53.950136Z digest=sha256:7e5532f6d8227eb2b3a24a528022739ea6476c9fab5cb6f80347a04efcef1821

Observation d3070596-efe0-4ee7-b29a-a7491ffaf1b6 · outbound

This paper cites Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!

Reference 55

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source=arxiv_source observed=2026-08-02T10:20:54.107424Z digest=sha256:ede2f36d945d741861478fe30ebdb470619c0f7b1ce0aafc7916203bf5414dde

Observation 5725297c-49c0-4e3e-a8ca-8c36782128b8 · outbound

This paper cites Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense

Reference 56

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source=arxiv_source observed=2026-08-02T10:20:54.255626Z digest=sha256:4df2e8c830d329e6b70f34a09a4778080babcbede46115c50e2cd9afc95d9c20

Observation eb0e1019-5000-4f61-ba03-af5724ad9b97 · outbound

This paper cites Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack

Reference 57

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source=arxiv_source observed=2026-08-02T10:20:54.387622Z digest=sha256:324f10a3fad0e0de2fdf1427fcf881b089e77806c55261c48d0bbdb85618c14c

Observation 18bb393f-b765-4321-a81a-61f84477da3b · outbound

This paper cites Safety Alignment Should Be Made More Than Just a Few Tokens Deep.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Safety Alignment Should Be Made More Than Just a Few Tokens Deep

Reference 58

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source=arxiv_source observed=2026-08-02T10:20:54.536465Z digest=sha256:a6181ce226faf92711fba83f1f628e3e0f8a1ef0589c6b9e1eb9172b61fdaa9b

Observation a08eccf4-597d-4179-b087-cf1b982bb84f · outbound

This paper cites Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts

Reference 59

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source=arxiv_source observed=2026-08-02T10:20:54.737018Z digest=sha256:8897b66759011e8ba1da8bc34ef6e17278d10ad98ac6380eb2469d6f9e60576b

Observation 6b5409d4-c6d3-4379-ac4f-744e68372603 · outbound

This paper cites MATATA: Weakly Supervised End-to-End MAthematical Tool-Augmented Reasoning for Tabular Applications.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG MATATA: Weakly Supervised End-to-End MAthematical Tool-Augmented Reasoning for Tabular Applications

Reference 60

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source=arxiv_source observed=2026-08-02T10:20:54.903869Z digest=sha256:0810c40436de1d5e11dabef2596acd34a7d807cb563aff1bd505263c15964672

Observation f13c1622-c3fa-4bf7-97ae-b5fe94d710f9 · outbound

This paper cites Recursive Introspection: Teaching Language Model Agents How to Self-Improve.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Recursive Introspection: Teaching Language Model Agents How to Self-Improve

Reference 61

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source=arxiv_source observed=2026-08-02T10:20:55.032617Z digest=sha256:57ddaa0fa75532956ce64d50310260e1880123fa5d401ece0908d231dcf392da

Observation 22ac0092-d162-4cae-82a9-e23c83dbb28c · outbound

This paper cites RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold

Reference 62

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source=arxiv_source observed=2026-08-02T10:20:55.203968Z digest=sha256:49bd07ac3222806a5d3aed5cb1df73f56622667d31488d24e48820787b93b91b

Observation 0d1ba5e8-1d56-49a0-9824-3aff93ef35ff · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG LLaMA: Open and Efficient Foundation Language Models

Reference 63

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source=arxiv_source observed=2026-08-02T10:20:55.361283Z digest=sha256:14d1c21518e34678c6f067908e84308b5c298e0371a28d28c5e53d5fb6bc6b90

Observation 4ac4ea77-880a-4733-8ba4-6905c8752582 · outbound

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

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG International Conference on Learning Representations , year=

Reference 64

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source=arxiv_source observed=2026-08-02T10:20:55.485152Z digest=sha256:7b1d5f9568055b54af9c27946ecb638b3931b24ed9c0db126c26e339be603430

Observation 4ad2eff5-2418-4929-abfe-f3e6576eca52 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Gemma: Open Models Based on Gemini Research and Technology

Reference 65

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source=arxiv_source observed=2026-08-02T10:20:55.610413Z digest=sha256:ad91a5b7a050b2fa99a6eba0010a20eb513c6205a5722acf44957c6237e58570

Observation 1598c753-098f-429b-8510-70924a09e3f1 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG On the Opportunities and Risks of Foundation Models

Reference 66

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source=arxiv_source observed=2026-08-02T10:20:55.733849Z digest=sha256:1ac2a98689356ee6bf973a15f6a47e5ab1c451ebc8452f4af65835a0d6ce8f8b

Observation 9211ef19-9433-40eb-a6b8-2a9fc443ce77 · outbound

This paper cites Journal of machine learning research , volume=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Journal of machine learning research , volume=

Reference 67

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source=arxiv_source observed=2026-08-02T10:20:55.801376Z digest=sha256:b6ff9c74955e2ef3e3cb190f4dd55e30176b5d759784eec575ba6e8fa2f0dfe2

Observation 83b708f7-d719-4bf3-87c6-e0dc6175fc99 · outbound

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

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Advances in neural information processing systems , volume=

Reference 68

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source=arxiv_source observed=2026-08-02T10:20:55.860496Z digest=sha256:2a4a9509170778c4a3850a80a689fc0d5794344778be78646b1c2b19538592c6

Observation d2e40a56-aa64-45d1-bc6d-6a37dfdad18d · outbound

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

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 69

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source=arxiv_source observed=2026-08-02T10:20:55.893849Z digest=sha256:2340ec54f3dfb18639aec2fb70d3c1c84e90b112bce21c1848b68b69565b4b4f

Observation 5a4f3d80-1374-48c2-aef4-e5578ddf19c5 · outbound

This paper cites Communications of the ACM , volume=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Communications of the ACM , volume=

Reference 70

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source=arxiv_source observed=2026-08-02T10:20:55.900949Z digest=sha256:82da03d8ecdd58c439c2b227c330185fc341ef119445f6449115a7b0cd2c644e

Observation 204937be-d3bf-4991-9d15-b7a92ceecc7d · outbound

This paper cites an unresolved cited work.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Unresolved cited work

Reference 71

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source=arxiv_source observed=2026-08-02T10:20:55.905208Z digest=sha256:67757ca04f9f38ba2780321911ae4ea160f23aa76173b0a97cc349134a3da7e4

Observation 6d4a6134-b144-42f9-93ce-af86512b0c59 · outbound

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

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Advances in Neural Information Processing Systems , volume=

Reference 72

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source=arxiv_source observed=2026-08-02T10:20:55.909158Z digest=sha256:a42b3c292118f1a371096eb0ac30c81b32c4c1e7066f8b8ec71ee0486c550bba

Observation fe2efe5b-f7b1-46f8-860f-82893b38aa7f · outbound

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

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG International Conference on Learning Representations , year=

Reference 73

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source=arxiv_source observed=2026-08-02T10:20:55.913217Z digest=sha256:3140700ccc4513ff1a31bb428cb4ee3b826d40f55ba67dcabdc8cdffda7dc615

Observation bc9ca300-234b-4505-ab4d-b5be327efc7c · outbound

This paper cites Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training

Reference 74

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source=arxiv_source observed=2026-08-02T10:20:55.917080Z digest=sha256:a2e597e5cf1c4d0e3af046dc57f3a043b4bee3625134afa5ba9289ff3867ade6

Observation 77d3cba2-670c-4162-a37f-75f773d76bbf · outbound

This paper cites IEEE Access , volume=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG IEEE Access , volume=

Reference 75

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source=arxiv_source observed=2026-08-02T10:20:55.921227Z digest=sha256:dc2258df48e6a1151caf1d86ebf86f122a19ccfe4ebf4422d93310742d75ad4e

Observation e78bbff0-4d4e-47d8-ac0b-3c9a9f67df27 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 76

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source=arxiv_source observed=2026-08-02T10:20:55.925539Z digest=sha256:43156de9ab37df33d2061580146c3c2039b6462e1d3683ef40630feca460d2ba

Observation 6ded8cc1-8c50-4863-93c7-bec24ba446da · outbound

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

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG International Conference on Learning Representations , year=

Reference 77

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source=arxiv_source observed=2026-08-02T10:20:55.929744Z digest=sha256:f16e600db0901029a7cd1854ea9c753b6f2805a423997e620db0fa685e7d01d6

Observation b55462da-0aab-4151-89a8-8e09c0473a87 · outbound

This paper cites Nature Machine Intelligence , volume=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Nature Machine Intelligence , volume=

Reference 78

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source=arxiv_source observed=2026-08-02T10:20:55.933873Z digest=sha256:bcb13f2f87a2d0183f49c3676e9876e3270d3cfb5e8be07f6683ca93450b2dca

Observation c35b0134-89e3-4d02-ab0d-6b8fb82d90c4 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 79

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source=arxiv_source observed=2026-08-02T10:20:55.937949Z digest=sha256:adb002a388a81bc329e34a396de4da2401cc70e189a5d49f524477ebe719f470

Observation 405a15cc-68b9-47aa-9ba4-2653794be4bb · outbound

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

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Advances in Neural Information Processing Systems , volume=

Reference 80

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source=arxiv_source observed=2026-08-02T10:20:55.941751Z digest=sha256:a1f6ff9b7cffa5de4d1799ee7d0bb419fa08741aba949ec43f33ae9eca6d751c

Observation bd93f4d2-e8ce-4d3e-9ca7-d8a923ea89a9 · outbound

This paper cites IEEE transactions on neural networks and learning systems , volume=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG IEEE transactions on neural networks and learning systems , volume=

Reference 81

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source=arxiv_source observed=2026-08-02T10:20:55.945708Z digest=sha256:984a822851d87040328d9f6bfe2ce70e6601ed54c5834eb227cf7b88ff762542

Observation 4af6c21e-8710-4af3-9c7e-b0c596b077f6 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 82

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source=arxiv_source observed=2026-08-02T10:20:55.949709Z digest=sha256:582eb3b41bceacc83503467d1c5c3e6c04b7929ae2d8262621a48ae0f6671f75

Observation 4c6ab1a2-b0b9-4c7a-bed1-cf17721c86ba · outbound

This paper cites On the Variance of the Fisher Information for Deep Learning , volume =.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG On the Variance of the Fisher Information for Deep Learning , volume =

Reference 83

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source=arxiv_source observed=2026-08-02T10:20:55.953978Z digest=sha256:38e2c185f28a1e1bd43951a1cb7b6a56297045e3ae8fc0a85dcd837e6a560bbc

Observation a34a5fff-8315-4201-ab2b-95b25a2ca848 · outbound

This paper cites Ranking the parameters of deep neural networks using the fisher information , year=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Ranking the parameters of deep neural networks using the fisher information , year=

Reference 84

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source=arxiv_source observed=2026-08-02T10:20:55.957878Z digest=sha256:4015e9caa0de1e419b439b6d47089e1c14237dc346e90a33e02f574cb075322d

Observation 31499b68-432b-4db8-8c22-dba856fb32ae · outbound

This paper cites Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 85

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source=arxiv_source observed=2026-08-02T10:20:55.962143Z digest=sha256:70945f7e70f172a8811dfd42cd975f214da23ce08f3d02f9112fb3b2ee2c591d

Observation 4a80e00d-f66e-4f27-a680-0ab28e59ecc5 · outbound

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

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG International Conference on Learning Representations , year=

Reference 86

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source=arxiv_source observed=2026-08-02T10:20:55.966346Z digest=sha256:3e662032446ee9b2ece0d874c771467ed33c10cbd71a1e41ce2279e70549f985

Observation b91bcaa5-0a11-4ec1-8319-6cd98e5e1654 · outbound

This paper cites International conference on machine learning , pages=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG International conference on machine learning , pages=

Reference 87

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source=arxiv_source observed=2026-08-02T10:20:55.970623Z digest=sha256:499f4404e8deb7633b374adc07df9260be757b1e5d29d297bef79a0453958bee

Observation 25142b9d-1fa2-460a-8aca-d33f587ebbc6 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Finetuned Language Models Are Zero-Shot Learners

Reference 88

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source=arxiv_source observed=2026-08-02T10:20:55.974781Z digest=sha256:6a74760905334a6cad9a5f76383497e8edf876dc54e32caacc1eec90c1d9ec27

Observation e6f78737-3701-41f1-956d-ab4a4754d7a0 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Journal of Machine Learning Research , volume=

Reference 89

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source=arxiv_source observed=2026-08-02T10:20:55.979881Z digest=sha256:a8a528c9103c2a270a548c6bf99736bc180bf4563e0ab4b4bd28e9d219e245fa

Observation 12071891-ca59-4f4f-9c4d-c168924e406c · outbound

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

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Advances in neural information processing systems , volume=

Reference 90

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source=arxiv_source observed=2026-08-02T10:20:55.984516Z digest=sha256:643107a30006a63688fee00890b5715a45b8cb1635bb2d1d47ebdb24f10f1643

Observation 44f9a7d0-2b6c-461e-9537-9738869f05b1 · outbound

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

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Advances in Neural Information Processing Systems , volume=

Reference 91

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source=arxiv_source observed=2026-08-02T10:20:55.988564Z digest=sha256:bfa3327d8beddd591aca2f7119e5125ba60e9560ab0aae07194cfe41576b02d9

Observation 96e4aa46-e4f3-4164-a14b-94585fcf5e57 · outbound

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

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Advances in neural information processing systems , volume=

Reference 92

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source=arxiv_source observed=2026-08-02T10:20:55.992462Z digest=sha256:a85a24db8f79ab8eb7cc392a8985d477279a28525409b99cb011115d27a35619

Observation 9b0f92ec-dd99-40a1-90dd-d76d6378a20e · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 93

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source=arxiv_source observed=2026-08-02T10:20:55.996734Z digest=sha256:ef1ca033fbfb04943ed403ca19fafa301cbcc56ebda36156c055f0570d523560

Observation 05335ec1-eaa0-42da-8664-ae24ee0b3f25 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Constitutional AI: Harmlessness from AI Feedback

Reference 94

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source=arxiv_source observed=2026-08-02T10:20:56.001003Z digest=sha256:3b2775f32ce3e3f033cf88694fc3b49741b23c5968ebad44c9fcea78f7ec7338

Observation d33dc91f-67cd-47f7-b379-4953e65ea61f · outbound

This paper cites GPT-4 Technical Report.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG GPT-4 Technical Report

Reference 95

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source=arxiv_source observed=2026-08-02T10:20:56.005354Z digest=sha256:fb4e9ea106ffc73613f7ba2f2b34b6aea586845526734e6ee24319d66efe0378

Observation b3ab0306-e9c5-4735-a398-557bcde6dc19 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Proximal Policy Optimization Algorithms

Reference 96

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source=arxiv_source observed=2026-08-02T10:20:56.009405Z digest=sha256:10d7b1049c2ca32795d2ab8f58b9ae28c17c85d9bc4b7f28e10c82ee997716d8

Observation caed576a-25cf-4c25-a57d-5f1a53742d2a · outbound

This paper cites Forty-first International Conference on Machine Learning , year=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Forty-first International Conference on Machine Learning , year=

Reference 97

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source=arxiv_source observed=2026-08-02T10:20:56.013993Z digest=sha256:efcc31868a3c2b77d09163f598302cfc7fe3643402ceb1e83dd3e7c782289e23

Observation 83692d42-db87-419a-89d9-8718ffed350d · outbound

This paper cites Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints

Reference 98

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no resolver link, observed 2026-08-02T10:20:56.018351Z

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source=arxiv_source observed=2026-08-02T10:20:56.018351Z digest=sha256:4119740f144571791ae4fc8ff115ec94c75fbad844a532c80af7a5fc432a0600

Observation 13a1f2f8-f416-4714-9087-d27f6b8517d6 · outbound

This paper cites The method of paired comparisons , author=.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG The method of paired comparisons , author=

Reference 99

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source=arxiv_source observed=2026-08-02T10:20:56.022837Z digest=sha256:67fde7028349f7c67be69607ce38e25f1f0d7a433c1e20239980e9ecfb61fcc2

Observation 039fc23c-05e4-4f88-b752-47c766b96752 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 100

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source=arxiv_source observed=2026-08-02T10:20:56.027680Z digest=sha256:40f455c051ef404c24707cdd5f8123af8555a27d61b50015b4abec281f62542f

Pith citing papers

No inbound Pith citation observations are available.