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Paper Citation Record · LEDGER

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models

As of 11 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2608.06699.

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

pith.paper-citation-record.v1
2608.06699 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:17:20.650451Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

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

measured 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

25 of 25 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved20
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2e9fdf0d-dfad-4ff0-8297-1a0df984f59c · outbound

This paper cites Qwen3-VL Technical Report.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models Qwen3-VL Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:17:20.522760Z digest=sha256:c78d2e8056674acfed352a15a3013a56fbdb027544d0298a54ac68fc6ddd8b18

Observation 0347e318-6720-4973-a3a4-c2e806d71ac7 · outbound

This paper cites boost" and target_span_role=.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models boost" and target_span_role=

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-10T22:17:21.235389Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:17:20.650451Z digest=sha256:a3f56db610343db6520bd7b55c4fa86bfc14cef6485854336fc6ecfeb9046057

Observation 49ff3174-25a5-44a4-8d82-b8251aa504c7 · outbound

This paper cites WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent

Reference 6

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source=pdf_text observed=2026-08-10T22:17:20.549845Z digest=sha256:5e9a683bee0aadf4725f4b2fa22779bddd89b0add7dab50b3ec02bc4035e45af

Observation c71f695d-fbda-4ab1-9fbb-434de0224940 · outbound

This paper cites Editing Models with Task Arithmetic.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models Editing Models with Task Arithmetic

Reference 7

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source=pdf_text observed=2026-08-10T22:17:20.555161Z digest=sha256:10c9d18bf7c8396f4b52e73519c45decbf8bab6fbac9ea0bf94285e64205afee

Observation e72d4eb7-94de-491f-9e30-356589a07f8d · outbound

This paper cites MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines

Reference 8

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source=pdf_text observed=2026-08-10T22:17:20.560314Z digest=sha256:51c65ab849ce914a49c410e13715529903087bf78e322e73c67c10e258d08af8

Observation 07d5ed07-85e5-447f-934a-df0c03bc7d95 · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:17:20.565937Z digest=sha256:5bf0d48f96a692c47dfa9147361d2990723353e820cea8787b7c41fa0469513d

Observation 7120a2ea-9ad7-44f4-9447-6d7938c778b4 · outbound

This paper cites UI-TARS: Pioneering Automated GUI Interaction with Native Agents.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models UI-TARS: Pioneering Automated GUI Interaction with Native Agents

Reference 11

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source=pdf_text observed=2026-08-10T22:17:20.575730Z digest=sha256:8818026284d4b3c2c36981fe6afdc0b22590dd94f02e33f7a4c1b0f9b74878e4

Observation d965c5f7-665d-4dd5-8c30-cb7acd8725a4 · outbound

This paper cites AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents

Reference 12

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source=pdf_text observed=2026-08-10T22:17:20.581037Z digest=sha256:ed82d6048df062f215c6346820b0618cc88f636ea0e2d649752345f2e7fecee7

Observation 996da348-9c30-4f61-9ec1-399c49e9819f · outbound

This paper cites PivotMerge: Bridging Heterogeneous Multimodal Pre-training via Post-Alignment Model Merging.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models PivotMerge: Bridging Heterogeneous Multimodal Pre-training via Post-Alignment Model Merging

Reference 13

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source=pdf_text observed=2026-08-10T22:17:20.586165Z digest=sha256:10f9394fe7dfe322edfcf931d0749d929d94cfdc3c41af7a6c795e6f0183ff3c

Observation 02595c2c-f568-4c4a-98a6-ee81f61110d4 · outbound

This paper cites Model merging with SVD to tie the Knots.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models Model merging with SVD to tie the Knots

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:17:20.591158Z digest=sha256:9933674753acde5b819111d216efff50efce7117089cf6c41e1ce1b926ce345c

Observation c24b86ed-329d-402c-bad3-7166f766b345 · outbound

This paper cites An Empirical Study of Multimodal Model Merging.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models An Empirical Study of Multimodal Model Merging

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:17:20.596112Z digest=sha256:57146bf5a295ecb35b7516124b90714160bda1092604975dc1802d46861d3abb

Observation bdc3c68a-2aa8-4d37-a8b0-be7c79996098 · outbound

This paper cites Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:17:20.601571Z digest=sha256:a8b819e361bf1e81d94f3a2e7b3e30ee3673432b8fb13bac5ad71d4a3c345a47

Observation d2272cea-c46a-40cd-ac6e-c3149097f2b9 · outbound

This paper cites Wortsman, M.; Ilharco, G.; Gadre, S.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models Wortsman, M.; Ilharco, G.; Gadre, S

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:17:20.607703Z digest=sha256:2ec0bba1961dd86b18b2f66a6d0d902ddca4c3d729dc5e585b9d38edb079a568

Observation 97be0b3f-9e47-4d58-b683-133ab4355bcb · outbound

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

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models MMSearch-R1: Incentivizing LMMs to Search

Reference 18

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source=pdf_text observed=2026-08-10T22:17:20.613684Z digest=sha256:eef84651b28db15d9e2ff182a32b6a7684fd8b4f3bc399a5b061d8ff58cd6e61

Observation dada7984-74ec-4417-be64-008b1daadaac · outbound

This paper cites V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs

Reference 19

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:17:20.618767Z digest=sha256:6b6353a13ec0c86e4db66f2cf89f81f8b93fa74abe9949f6b8d4223b84c4ab3d

Observation b5f765bf-6197-4d5d-b6c6-e45db8333871 · outbound

This paper cites OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

Reference 20

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source=pdf_text observed=2026-08-10T22:17:20.624057Z digest=sha256:e41a8f1941ad452b2ecf4756a82e40a5aa7a20627cd32c403cec163a4e8d1438

Observation 60cbf84e-d2df-4f65-9e7f-4571cb1549e9 · outbound

This paper cites Yao, H.; Zhang, R.; Huang, J.; Zhang, J.; Wang, Y.; Fang, B.;Zhu,R.;Jing,Y.;Liu,S.;Li,G.;etal.2025.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models Yao, H.; Zhang, R.; Huang, J.; Zhang, J.; Wang, Y.; Fang, B.;Zhu,R.;Jing,Y.;Liu,S.;Li,G.;etal.2025

Reference 21

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source=pdf_text observed=2026-08-10T22:17:20.629213Z digest=sha256:40e2cc71392e1a4c29de5a0d0188fb0e594eaf31d4c0914a6673fde0f9570593

Observation e82bea39-2ef6-4c68-a11c-43b65fdfbc0e · outbound

This paper cites Mobile-Agent-v3: Fundamental Agents for GUI Automation.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models Mobile-Agent-v3: Fundamental Agents for GUI Automation

Reference 22

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source=pdf_text observed=2026-08-10T22:17:20.634729Z digest=sha256:1a7747c09bf8f4fce00288e58f7625be4924fb8fafa39f36bd43d4735415ab9f

Observation 4a5e0248-1d64-47a1-be09-a89ae4d0038a · outbound

This paper cites InNeurIPS 2025 Fourth Workshop on Deep Learning for Code.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models InNeurIPS 2025 Fourth Workshop on Deep Learning for Code

Reference 23

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:17:20.639674Z digest=sha256:47d35d19d1921d03f4188d129f39ed348fa51e526a771c645f983f9270347ffa

Observation 9d191a33-8eaf-4d99-a593-7084d24e0a83 · outbound

This paper cites DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning

Reference 24

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:17:20.644602Z digest=sha256:227f7a6b8306e46005b8c64a65753e82477c31311395c98c584edbea01ca7d75

Observation 939c5c5d-0bef-4e7d-8f93-7135242bcb5d · outbound

This paper cites Fusing finetuned models for better pretraining.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models Fusing finetuned models for better pretraining

Reference 2022

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source=pdf_text observed=2026-08-10T22:17:20.533940Z digest=sha256:c9c89dd60831b63bcb0641a6764a36544764a9f219105d70bfbf57e921a9c7b8

Observation 9d7ab4e6-6a83-48b4-ad34-cc6ae47372d6 · outbound

This paper cites an unresolved cited work.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models Unresolved cited work

Reference 2023

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

source=pdf_text observed=2026-08-10T22:17:20.570869Z digest=sha256:fb75427eea47a02954ec0eebd9cd92f7b5009f90c0f0ef3e2e2dec9e13354cf2

Observation 7b2cf31a-55fb-4e73-b388-530d895952fa · outbound

This paper cites Model Composition for Multimodal Large Language Models.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models Model Composition for Multimodal Large Language Models

Reference 2024

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:17:20.528557Z digest=sha256:3147cae5ed680948c209fcd5aadc6cdeadca34928847d6d40611c0952ab45ae7

Observation a62d651f-160b-4023-b523-a2f79a55c6d7 · outbound

This paper cites In Proceedings of the Computer Vision and Pattern Recogni- tion Conference, 18695–18705.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models In Proceedings of the Computer Vision and Pattern Recogni- tion Conference, 18695–18705

Reference 2025

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raw_fallback, observed 2026-08-10T22:17:21.284530Z

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

source=pdf_text observed=2026-08-10T22:17:20.544787Z digest=sha256:27ae193706dd47f5f7a55df592b77d6aa12e3e28c18b0fa21c62455b82a72b33

Observation 74aaefc1-7526-4e89-9f29-06959450623e · outbound

This paper cites Gargiulo, A.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models Gargiulo, A

Reference 2026

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verified exact
raw_fallback, observed 2026-08-10T22:17:21.171648Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:17:20.539668Z digest=sha256:4b3dc9d9cda35f48b6b2cbbe76637017e0ee64fe031d5e77a0a009a2745e7e5d

Pith citing papers

No inbound Pith citation observations are available.