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Paper Citation Record · LEDGER

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

As of 4 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 2026-08-04T06:34:03.388597+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=sha256:16d7a9296d51f7084bb3ff2b05733b89db8af1f71fe6fe4299d780426147aa79

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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unresolved
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=sha256:0aed2599194ddc785e97f1f5ba9d5b8bacaf07cf868c3c27d87d13925dd61d22

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:a4c788d2a4283d0f2657bb7d920801107f236302a738c6924495e87ca678d2ff

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=sha256:9a135662ae2402e5cde1acbe2ac38c91fabd568578622f14262c0219cf930cff

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:a673a4671c6adcbaca28c9f04d48cbbb57e4f258fabc726390360713ae275b96

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=sha256:176dbda46d282b5cc1eb03b8f8c7ad4aacc2e4601e9bea1d49ba415563d3570f

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=sha256:5595e287633d6959bc1fc2f22dab18f9b6dbe5fd55fdc177c0054c8cd79f0ad0

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=sha256:7dd1f7d581df84406de0c3b3b2ea6bc979851f6571673f2a665c50e1c651dec6

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=sha256:8157ef8705a3f37d6a3ef075bd249b8368637b34e3bbe60a97004c9a1207c38b

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=sha256:6a1ee334450f16304a750fdcc4a27b5efb7386674d62af97afcb99fe708c4da1

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:fd44475df4002dd41cc954238017d95caa64b9930305871d87a27e67191b74d8

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-08-02T10:20:50.115005Z digest=sha256:3ba970f9843ae316e7964521339d22db174221b0459cef0b94b67bb5e5ec5252

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:ca7613d25c661a3c1e67f8b890e2c71ae311c866959c48c60ec18fb361da4c03

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=sha256:64406bf590cba6118e0d1a59e6804ff30b3f96f51ef17f92a8431d18e3a9ad01

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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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:b8c8387c1828d8ad6d833aa5ae8167d2308f74a53d286a28cdb105979261b0b1

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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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=sha256:9f6738211f068a04396b3666116097dab88078a1be279ae7f76cc714f3b9f908

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=sha256:27b7241b73bd85bc3b856f4c6a9b65d945b77f499992c23c2dfbab26242309dd

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=sha256:4df873acb18d267e854b2a2ab84ef1ba200a0bb927cdefd7ce8258ee536a3987

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=sha256:29a9a7252fcebeaed2e7082072157b7014326533205aa1910a07b77896adb5c1

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=sha256:60ee869077239ba74d37a091a6e236e2d5dda5bb74cb830ce7e6f12f77ec17cd

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:d0544783a3605abefebd60102a1ab99c5fdd7092b0d0dab3066975a87d49ff35

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=sha256:1a7d842f91eba0d20048bb806a8e8e179f29eda6c7ae46d1c2df55656ecb8834

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=sha256:42c09ee1268c44629c8c58c963945307a0a971904b462042bcd8171cf9410e6b

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:ca039d2a7db8c0a56145af663ec192f251e498d42755e3704e8cc5d97bbcb135

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:51.524195Z digest=sha256:f2003e518030fb842dfa278fae12316af479d693f6eb9d14e514aca2e2ff061d

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:d290c1e692959b21d2194db6a87d4944ef23be5209563098dc9eb799b2889a5d

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=sha256:2805b298a4646164da4740ed2598e0c8352bae6faa6c7bb04ad976bc71a16bb7

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=sha256:9951434cb06340a1e8063a338ed9f37349b1eed85baffdb79020cc267c9b7a9a

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=sha256:8b6d92560f83e7b514656d2bfebc05638ddefdbbeb9643be934941f331721cc3

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=sha256:5b5b4d1cfb1cfa585b120c727dc0ca60e2d278a552a517353d090d5b1e8701c0

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:fc596ad42ee430c13250421686fc70c153ca0423bd5f13672c21ab6b75ef1b5a

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:b423b36092f013739b6e6af188597e0e311fac418f74e98925b7c08ba235d4f0

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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unresolved
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:eb6fbccad7c3c24bf33301ce310a742dc8d95d40f353a709762d9692346e9a2e

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=sha256:1e575b7df68ee8250bfe94c5a8d7bed61d2c187ad5dcab5f587606a100da2538

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:cc6dc086ca1344b197061fc52b7d4b4658143a2f8e8b32c07f0b9438a6642895

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:b48d93dc8e884ebd6edfd490a3d8a5c65ba8f92c4d2164f0154c8621fcad8d0e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:52.636042Z digest=sha256:843bf864330715df0027f51d7ffda1c1c091f29414e0864f2b8a351f4c1bdbda

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:d7eb24a43328f9349c324995cfd2c2fd0d1cdd9a22a257b0575ef27e239760cf

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-08-02T10:20:52.811660Z digest=sha256:48928e71a0da0c18fe4813a0cb249a0b8cabba19c63ee311010b7e4a19401889

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=sha256:3ad53d9852aa38b0d65116fa926c73d306231f5e938e302bbcd9053747532e35

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:cacc512e23281979dc19bca2b1b9c4e11dfef3a3620ad190acdd05f5dd665d01

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:b901cc59a15d9617c84fcb10a8e206f0ab3d26139c98f7a8d38fecf8db811084

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=sha256:43ea8165d165ee0f8cb553495ce301cd34495429fdb33ca4e2bfd4e0f293f8d8

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=sha256:4e05100c2bd143016393ca38c40a563ccff25d6ebd98cae746818655d283ded4

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=sha256:7229192f908b3f2e8c4e9e3fb071a6b7f574ae68ef683b116e5407d5d784ccf7

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=sha256:76a28c991943b74c31e99068f41d137ed28a20400a50727ae520c4206ed977fd

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=sha256:48a07da2b50e2855991d362e5dcbb688e76a7f44a7363ca0a231c789e5f5400c

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=sha256:80028204c9ba16b735c1b63ed3ea887c3de331bbc26c0deb1217b62a26bc54c7

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=sha256:49f231eddcc7d942d4398cc497e8556288b94535abc5dbe7f3959642d903692b

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:b703487613c7a332103f4d40616d33770072864041f3cfd93cb7fcdfe7454ccf

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=sha256:6ee830c85a94c35a640ee58b87abf2e28b9f5d8414556c37367c099837c689fd

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:ce97d6d3a11c2b8dedac7c5db0af3355b10a01fa44782efec26555f132416dcf

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:fbe1ef20e49afbf0afbc8c994271d0da163079afd01f8a06aa4b8e59a8521bdf

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=sha256:49544158c510f70b90cd1874c3fa2077aa6998260b4b1ef05f7ce2a6ec696b74

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=sha256:5d3a98a0c3513e9819719d0fd4f4a15c78ea92836e4b9e8edbcb18b8dffc5149

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:bf2fe9d73b30fb7036998dd4f1fb26d1fb4f53d22f3318782b33b8f8ecf73e29

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:bf5090049661a8aad8422b682dc8cf77a4a74573957ebb959bb41e825eacdda3

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:a512f4a975c5b88cf5668762f722bde4d64a148fa46227ccdbabfe3c9427115c

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:54.737018Z digest=sha256:f1ffa49d0909a63048664b451f43626e996a3a438aa3073ac119e351b1d90deb

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=sha256:4bd245a7ff4dcfd17026b28a2d444378a720123c5e62bf5cc8beb7a661716d45

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=sha256:60a326f7a656599e741dbcc3c6464531bb8f272cd1eaf6fea86b387c97c57450

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:bcbf5ff90aa40d0752d0f36c98b421c45cee84b472f2a40c4fb340e3ecf6c04b

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:d8be1158d12fe02e222d8a7594f0daee9f8f8212b886e1468f0ca15ab3816f81

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=sha256:23d2d192d58fed5f7339e01dae5fe9576a194c101bf966830c4fbac23d04e91b

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:ccdebccc32b6c4b78b108c283a00a61a5ce98208eb4516211ec3c1746ab88b56

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=sha256:4a7a7cfeaf0ffdc739320e7bcbc51c73309e8f6e6e062632ab4a1e63b5c6895d

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-reported events for the cited work

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source=arxiv_source observed=2026-08-02T10:20:55.801376Z digest=sha256:08bb4ffa6766d33f0255946bfb2af30b5cc26c73ecc2b240325399c54c19bbfe

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:e0a6388e5636014a3cdcdea6c97d30d4c7986b50f74a79d59b59e098fa6b5754

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=sha256:6495dfad5e2bda5cb4d33c5b5d485e2891e2c18f452be1576eba70ac5b0c7376

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=sha256:7ca199b8113d7a3b276d16e8c41a1e4a3ec90d6d3d6a976a3db1ef9f7347bc1a

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=sha256:6aeed946efdf4de2664e6ca0959a9fbbd3026258320ad6671e1179c7c8277a9f

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=sha256:5479efafd3451703363c8946db8b1ae6b0d3288ce2cfb835e6d09f0c21003d9c

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=sha256:29f8320e2deb4f977d76f21f678a668253129c910c9d5bfdd27682fc4046c1f2

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=sha256:4100fac24ad910fb141c4c8575c2dda016e2c9449faba7fed8c0cc95f758a415

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=sha256:3bf478cca31c92f3622468d2955f503fe7d6e673e21b1c5ac8a7781ba33cb9c2

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=sha256:163a1613c2ba53821642fefe3ac4296fd1762e30cbbc83532af092c4a4303bfa

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=sha256:6640668d576f3bdb8283f3b5dc3ad4eec36b8a20a7ee0f9091d7631663fc2940

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:cb51c16c5e554cb53f9c0c28b2f4871c2f164f7bb35d94817eaa9ab11f572eba

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=sha256:26ed68e238bb3ea73d619906e41fd3c8d6c0649c1307c6b94364359c2d29ac47

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=sha256:52b6ad27ad8f21ddd10296228d0ef62078b5b7119fea747f8b3d19c42b322d74

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-reported events for the cited work

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source=arxiv_source observed=2026-08-02T10:20:55.945708Z digest=sha256:4bd9d3b0aa9f33f6b3834943a53e847c813b460ba46395da8d26787d3d813e86

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-reported events for the cited work

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source=arxiv_source observed=2026-08-02T10:20:55.949709Z digest=sha256:23b00069614a5c4afd5900794ba3be4d745afc6a11c4ec604097ff3665993e98

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-reported events for the cited work

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source=arxiv_source observed=2026-08-02T10:20:55.953978Z digest=sha256:bc6b7f948ec1f3c817018687b00f7891b7e47165d94a09fef48bc677768e3d76

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=sha256:1ff24318fa6fd36a8615f28d4316957a7acf9f38c416d81995a5cd9ce27e7051

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:a8f32edede8b995ad67f8b083b4f3961efbede4f0b7128bce7c78fff88ecddea

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:e94d680d8c33e372d317ffa92deddceb3c880ed1b8a3b4741cfcf0d2cc40ae78

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=sha256:130b78d4eab4b353c2f498fca1526184c1a0de8d2ce473645849460eb14a3335

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=sha256:02f45427fa0ff2934ce5ca6aa1428767d2a6f523f8062f1f3dc92e791b442f7d

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=sha256:647af80b7fdbb7fa2305b18e18e7f9cdae565af936785b6ff69539fe758be5ce

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=sha256:6624b4c8bc6c7d186c0632e5ec35c961a311c34448ee439e41da42bcb338ef58

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=sha256:1ea05e0854a8ce6a5d6614234b06af48b0ad6d7dded288e69b7f1c3531b63427

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=sha256:4989db359e0d5d4726d3587c2ec89cbded5899c89cb42d3e2dccac8c5ff6daac

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:b33dad71b3e5d1e0df630236328c355d246e69a361529d8af6c4f14a2c58afe9

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:fc651c6d7c7f73b0d09b73c29152ece1a63d7e0f3aea3ea00d565411896278d0

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:baf8f74423e90dc8eba2de352ef8c709b95cc8e12a34279e54420aef67707aec

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:c7e31ebae7a3e799328be13c8ff30fd1a26951dd6232c3d8846ef935acc8efc0

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:d8471999edfdd6293ce2a5b3af1ca27d6aa3e5362ba1d33d9fc39adcb08894ee

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:d73bf921b7c55dccae4fc12e536d5357bbdffeed48731f03ac22df6961808205

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=sha256:0344116c051a895a207ee91d5048f33cc0f09de634be4e59684577ef2dea9f49

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:db1a43305c13281082aba0e44400ad7ca15b4597736294d58007bd989458d811

Pith citing papers

No inbound Pith citation observations are available.