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Paper Citation Record · LEDGER

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction

As of 17 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2602.13748.

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

pith.paper-citation-record.v1
2602.13748 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:30:11.803579Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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  • malformed identifier0
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Outbound references

Observation e92bf56a-c04e-46e2-9186-0e710925a51b · outbound

This paper cites Cross-media structured common space for multimedia event extraction.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Cross-media structured common space for multimedia event extraction

Reference 1

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source=pdf_text observed=2026-08-02T23:30:08.625217Z digest=sha256:7f2540785338dc88b0c3cdfc28f1842afeec064d6dc54b9243bec404a08faeb1

Observation 8a14428e-2837-4c44-b006-65d8ef37bfc7 · outbound

This paper cites Scented-EAE: Stage- customized entity type embedding for event argument extraction.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Scented-EAE: Stage- customized entity type embedding for event argument extraction

Reference 2

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source=pdf_text observed=2026-08-02T23:30:08.697438Z digest=sha256:63f8ed6e184c0e3c8052a5d1194e3e8f90618f94accd276649556adb8bbe4c8f

Observation b2b3bffc-155f-4500-99fc-f8ec203c3779 · outbound

This paper cites A graph convolution network with a pos-aware filter and context enhancement mechanism for event detection.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction A graph convolution network with a pos-aware filter and context enhancement mechanism for event detection

Reference 3

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Observation fe5569eb-ebef-4fc4-a1c3-996728a1ac78 · outbound

This paper cites Instruction-tuning LLMs for event extraction with annotation guidelines.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Instruction-tuning LLMs for event extraction with annotation guidelines

Reference 4

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Observation 32c515ab-7309-4a45-a50a-93f999b795d3 · outbound

This paper cites Adaptive schema-aware event extraction with retrieval-augmented generation.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Adaptive schema-aware event extraction with retrieval-augmented generation

Reference 5

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Observation 21e4e24a-53e4-49ae-aeaf-386277e483b9 · outbound

This paper cites Multimedia event extraction from news with a unified contrastive learning framework.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Multimedia event extraction from news with a unified contrastive learning framework

Reference 6

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Observation 26e22c6a-4af7-4c0c-b4a6-5530c97a465e · outbound

This paper cites Clip-event: Connecting text and images with event structures.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Clip-event: Connecting text and images with event structures

Reference 7

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Observation 0d2f8696-0a3d-403b-86a9-ef1159dbc825 · outbound

This paper cites Training multimedia event extraction with generated images and captions.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Training multimedia event extraction with generated images and captions

Reference 8

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source=pdf_text observed=2026-08-02T23:30:09.191278Z digest=sha256:de6cf9ef58a73280efe9d715e5a1e5093d59f78aef49d22f26501650d0773dec

Observation d39aa49f-ed68-4797-a4ee-3e5cce2dcb99 · outbound

This paper cites Cross-modal multi-task learning for multimedia event extraction.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Cross-modal multi-task learning for multimedia event extraction

Reference 9

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Observation dbc01e19-5c2c-42a5-b2ef-55515b743333 · outbound

This paper cites MMUTF: Multimodal multimedia event argument extraction with unified template filling.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction MMUTF: Multimodal multimedia event argument extraction with unified template filling

Reference 10

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Observation 663d088a-8776-4fe2-9e95-ecb8ef2b94cf · outbound

This paper cites Multi-grained gradual inference model for multimedia event extraction.IEEE Transactions on Circuits and Systems for Video Technology, 34(10):10507–10520, 2024.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Multi-grained gradual inference model for multimedia event extraction.IEEE Transactions on Circuits and Systems for Video Technology, 34(10):10507–10520, 2024

Reference 11

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Observation fa6f4f8a-7724-4d26-b079-0fac4821f45d · outbound

This paper cites Stepwise schema-guided prompting framework with param- eter efficient instruction tuning for multimedia event extraction.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Stepwise schema-guided prompting framework with param- eter efficient instruction tuning for multimedia event extraction

Reference 12

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source=pdf_text observed=2026-08-02T23:30:09.612467Z digest=sha256:1b35fd91cb449f9be5122e59b05b82b8616725ac7d606fb5fb49c6adbce4db8c

Observation 17d1d2d6-fbf2-4633-9005-b4d10240c186 · outbound

This paper cites Multimedia event extraction with LLM knowledge editing.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Multimedia event extraction with LLM knowledge editing

Reference 13

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source=pdf_text observed=2026-08-02T23:30:09.734854Z digest=sha256:f036988b49f92d87d3e19e53e30861e5a6648f745e9a11ebde3f478f79ea83a9

Observation 335fb08d-6d75-474d-bfbb-f42c37085a7f · outbound

This paper cites Benchmarking and im- proving LVLMs on event extraction from multimedia documents.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Benchmarking and im- proving LVLMs on event extraction from multimedia documents

Reference 14

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source=pdf_text observed=2026-08-02T23:30:09.823231Z digest=sha256:66a9b066fc1f14dc77d7cc3ab3a103b215b20d493c207c88bcf54eb1124f2baf

Observation 09e71b5d-11e5-454b-8dfe-7a9f2ec6e98b · outbound

This paper cites Umie: Unified multimodal information extraction with instruction tuning.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Umie: Unified multimodal information extraction with instruction tuning

Reference 15

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source=pdf_text observed=2026-08-02T23:30:09.884997Z digest=sha256:469e1346fc695acc9e5d6d7721e4457f8fe2b28b7d8a666ff8763cb18612d8e8

Observation 0a18ca7d-cb2b-4f5c-bee0-cb0f9e2e2ce0 · outbound

This paper cites Unified structure generation for universal information extraction.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Unified structure generation for universal information extraction

Reference 16

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Observation 577197da-fe76-4c17-af55-5795d2ed0389 · outbound

This paper cites Exploring multimodal relation extraction of hierarchical tabular data with multi-task learning.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Exploring multimodal relation extraction of hierarchical tabular data with multi-task learning

Reference 17

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Observation 072af63d-1060-46f1-bb68-8a51164174e5 · outbound

This paper cites Mr-uie: Multi-perspective reasoning with reinforcement learning for universal information extraction, 2025.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Mr-uie: Multi-perspective reasoning with reinforcement learning for universal information extraction, 2025

Reference 18

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Observation 9a1ff072-7d4e-44d1-98cf-37db3f7b5d5b · outbound

This paper cites Training-free LLM merging for multi-task learning.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Training-free LLM merging for multi-task learning

Reference 19

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Observation 23de81d9-3731-44a7-9ce5-1166a2e21d1e · outbound

This paper cites Mul- timodal relation extraction with efficient graph alignment.Proceedings of the 29th ACM International Conference on Multimedia, 2021.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Mul- timodal relation extraction with efficient graph alignment.Proceedings of the 29th ACM International Conference on Multimedia, 2021

Reference 20

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source=pdf_text observed=2026-08-02T23:30:10.157110Z digest=sha256:9b8caf285aeb9a8f2aef34b57f8ab71c69ee7024e6f8a4fa817579df13cde2e2

Observation 59e7c260-73a2-4b33-92b1-9c1092cd31a5 · outbound

This paper cites REAR: Reinforced reason- ing optimization for event argument extraction with relation-aware support.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction REAR: Reinforced reason- ing optimization for event argument extraction with relation-aware support

Reference 21

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source=pdf_text observed=2026-08-02T23:30:10.244294Z digest=sha256:34dd81b81d6f66a8f2c4538b99bf1ded40e0212f1a1cbe27db207417ba08e2d9

Observation 9128aa8b-6a87-4f6b-bb4a-eeb7bf8ae993 · outbound

This paper cites InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction

Reference 22

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Observation 54183820-cd2d-4f2c-ab9b-971a77d75679 · outbound

This paper cites The automatic content extraction (ACE) program – tasks, data, and evaluation.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction The automatic content extraction (ACE) program – tasks, data, and evaluation

Reference 23

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Observation aadf7e4b-d3a8-441d-b1cf-233b2a85837f · outbound

This paper cites Situation recognition: Visual semantic role labeling for image understanding.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Situation recognition: Visual semantic role labeling for image understanding

Reference 24

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source=pdf_text observed=2026-08-02T23:30:10.610025Z digest=sha256:2bde116d22b33c4efb4f0dee791b9d6f8d61bbc85f2527aa07afe19067a81e68

Observation 31b8580a-9cb1-472a-bbf6-0048d6d820ad · outbound

This paper cites Multi- modal relation extraction with efficient graph alignment.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Multi- modal relation extraction with efficient graph alignment

Reference 25

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source=pdf_text observed=2026-08-02T23:30:10.724271Z digest=sha256:b108d0f56cf9e494ef350d1d38aefea6d0db8cdc8567228ab4bb9f8717c35d6f

Observation 5867eb93-5217-455d-9142-e8435af47c2b · outbound

This paper cites Grounded situation recognition.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Grounded situation recognition

Reference 26

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source=pdf_text observed=2026-08-02T23:30:10.892230Z digest=sha256:d99b783937b491ed257df13ed13d4f4a4ed285f8f53249a81479f044f29c4124

Observation e6396184-a312-4026-8769-3f8cabcc0bb1 · outbound

This paper cites Qwen2-vl: Enhancing vision-language model’s perception of the world at any resolution, 2024.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Qwen2-vl: Enhancing vision-language model’s perception of the world at any resolution, 2024

Reference 27

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source=pdf_text observed=2026-08-02T23:30:10.975026Z digest=sha256:d4edbb4ff22d7d21eb26ccf39c36cfa27fd3a5ef8de95635eecd7a46c5137d3a

Observation 8d343945-4975-40ad-adf1-58e50e504af8 · outbound

This paper cites Qwen3-vl technical report, 2025.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Qwen3-vl technical report, 2025

Reference 28

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source=pdf_text observed=2026-08-02T23:30:11.086784Z digest=sha256:de534a99bd14f3190facd1d50aa7791ed4491d811211f73ed8919af1f64f3aa4

Observation dcc755e7-7e53-4e14-96c1-a4f0cfc9cd61 · outbound

This paper cites Internvl3.5: Advancing open-source multimodal models in versatility, reasoning, and efficiency, 2025.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Internvl3.5: Advancing open-source multimodal models in versatility, reasoning, and efficiency, 2025

Reference 29

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source=pdf_text observed=2026-08-02T23:30:11.171291Z digest=sha256:28abfdf715cd56722a9f35ac35345e0b06c90fc6502734186f51ba8369c1db12

Observation 74af9a33-82bb-4047-a0e7-29b056424a83 · outbound

This paper cites Learning transferable visual models from natural language supervision, 2021.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Learning transferable visual models from natural language supervision, 2021

Reference 30

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Observation 4b061dca-2a39-424a-bfdd-bf0518bdcf74 · outbound

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

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction BERT: Pre-training of deep bidirectional transformers for language understanding

Reference 31

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Observation 11919aad-dd0a-47da-9676-a87952829254 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction An image is worth 16x16 words: Transformers for image recognition at scale

Reference 32

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Observation c7c4e555-f062-435c-8959-6e180d85e8e4 · outbound

This paper cites Yolov8: A novel object detection algorithm with enhanced performance and robustness.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Yolov8: A novel object detection algorithm with enhanced performance and robustness

Reference 33

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Observation 80ef8c59-3d48-47ff-b47b-68d40c101872 · outbound

This paper cites Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V

Reference 34

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Observation 81260e8d-3847-4b05-aee4-49dca90bbca9 · outbound

This paper cites an unresolved cited work.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Unresolved cited work

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Observation ea5fad7f-75ab-42eb-b0d4-6aa4f969353a · outbound

This paper cites Improved baselines with visual instruction tuning.

RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction Improved baselines with visual instruction tuning

Reference 36

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T23:30:11.803579Z digest=sha256:94e3851a3b6fd9455ce059bfffe27fbf25967b8f1ead1198b4541662426e06b9

Pith citing papers

No inbound Pith citation observations are available.