AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning | Paper Citation Record

Observation 7755b8ec-4980-4ab8-b7cb-81c26b7714de · outbound

This paper cites an unresolved cited work.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:47.330098Z

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Observation 9c61bd39-904a-4816-99c4-5e03f9142471 · outbound

This paper cites an unresolved cited work.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:47.471655Z

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Observation 13fe1a64-651d-4e28-b677-e555a7d0eeab · outbound

This paper cites doi: 10.18653/v1/2024.acl- long.211.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning doi: 10.18653/v1/2024.acl- long.211

Reference 3

Resolution: malformed identifier; no resolver link, observed 2026-08-02T20:28:46.519287Z

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Observation fe3d7709-fafb-4fcb-9c6c-a157f6ffde82 · outbound

This paper cites an unresolved cited work.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:48.164126Z

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Observation ec24b120-a7be-4533-89bb-b7b16c05d30f · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Training Verifiers to Solve Math Word Problems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:46.386672Z

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Observation 7474b0f6-605c-44ea-b27a-2bf87b56087a · outbound

This paper cites Luo, W., Dai, S., Liu, X., Banerjee, S., Sun, H., Chen, M., and Xiao, C.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Luo, W., Dai, S., Liu, X., Banerjee, S., Sun, H., Chen, M., and Xiao, C

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:46.635083Z

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Observation a3b42bc0-db77-4c2b-a987-0b75a1d97080 · outbound

This paper cites Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:46.866872Z

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Observation 0ff85ea4-5192-4230-8e98-813607379e67 · outbound

This paper cites EvoFlow: Evolving Diverse Agentic Workflows On The Fly.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning EvoFlow: Evolving Diverse Agentic Workflows On The Fly

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:47.094116Z

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Observation 2af59802-cf4d-4f79-81eb-4e7c1a06b91f · outbound

This paper cites integers include negatives.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning integers include negatives

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:47.215779Z

Source-reported events for the cited work

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Observation ae041920-1224-46bf-bece-0d5fd30b584c · outbound

This paper cites an unresolved cited work.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:47.527127Z

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Observation 302216a4-0b06-4d90-9073-0cf2184816ce · outbound

This paper cites an unresolved cited work.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:47.606065Z

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Observation 42cac177-dac4-4a03-ba81-0c1ee205a04b · outbound

This paper cites an unresolved cited work.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:47.724488Z

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Observation 2aa9a197-4f44-4122-b651-4dfba8cd98b5 · outbound

This paper cites an unresolved cited work.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Unresolved cited work

Reference 16

Resolution: parse uncertain; no resolver link, observed 2026-08-02T20:28:47.830889Z

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Observation 30118d9c-5785-49b9-aaba-df4ea5968c0e · outbound

This paper cites an unresolved cited work.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:47.934901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8066cba-5f48-4e15-88da-0316c70cfc45 · outbound

This paper cites an unresolved cited work.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:48.059707Z

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Unavailable: canonical work link unavailable.

Observation 1bacc7c1-5127-49ce-8315-c919118c2fb4 · outbound

This paper cites an unresolved cited work.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:48.241454Z

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Observation bff6bbc1-b88b-46a0-8a24-39cd845248b7 · outbound

This paper cites - Independent errors often exist (e.g., a logical fallacy in Step 1 AND a formatting error in the Final Answer).

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning - Independent errors often exist (e.g., a logical fallacy in Step 1 AND a formatting error in the Final Answer)

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:48.421204Z

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Observation c68772ca-6461-495f-a397-8860796e0349 · outbound

This paper cites - If the output contains errors: Identify ALL of them and proceed to Phase 2.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning - If the output contains **errors**: Identify **ALL** of them and proceed to Phase 2

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:48.531130Z

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Observation 5d956da7-db55-45ce-9f35-e2c3e65a2996 · outbound

This paper cites It can be appropriately longer to avoid ID collisions.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning It can be **appropriately longer** to avoid ID collisions

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:48.611471Z

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Observation a8f86d6d-3a1d-434e-ab34-644bc7ff6c82 · outbound

This paper cites * Examples: ”Geometry”, ”Probability”, ”Algebra”, ”Number Theory”, ”Python Implementation”, ”Logical Reasoning”.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning * **Examples**: ”Geometry”, ”Probability”, ”Algebra”, ”Number Theory”, ”Python Implementation”, ”Logical Reasoning”

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:48.746738Z

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Observation 912fcbdf-78a4-457a-b6b3-30035676465e · outbound

This paper cites Do not just say ”used wrong formula”; explain ”confused concept A with concept B”.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Do not just say ”used wrong formula”; explain ”confused concept A with concept B”

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:48.848963Z

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Observation 5657a7f0-37d4-457e-9f3d-aa668f250a00 · outbound

This paper cites DO NOT assume the error has already occurred (Decriminalized).

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning **DO NOT** assume the error has already occurred (Decriminalized)

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:48.900041Z

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Observation 1351bb2b-78b7-43f7-a188-9727d1805ced · outbound

This paper cites an unresolved cited work.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Unresolved cited work

Reference 27

Resolution: malformed identifier; no resolver link, observed 2026-08-02T20:28:48.992315Z

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Observation b369bc09-2183-4ce8-bbb0-75271836170a · outbound

This paper cites an unresolved cited work.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:49.123852Z

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Observation 8d3081c6-e849-4b1b-868e-cfb6c1427e62 · outbound

This paper cites The expression p 120− √x being an integer does not require n to be strictly positive; it could also be zero.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning The expression p 120− √x being an integer does not require n to be strictly positive; it could also be zero

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:49.304765Z

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Observation e5a820f7-4612-49be-a232-10e5f0ea2aa2 · outbound

This paper cites Please review the following suggestions critically: - [MODULAR ARITHMETIC CONTEXT CHECK]: Allow n to be zero as well, since p 120− √x can be zero and still be an integer.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Please review the following suggestions critically: - [MODULAR ARITHMETIC CONTEXT CHECK]: Allow n to be zero as well, since p 120− √x can be zero and still be an integer

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:49.421118Z

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Observation 17baef88-b8da-4756-a58c-e36922bbfe03 · outbound

This paper cites Figure 13.The rectifier’s judgments and feedback to the initial output.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Figure 13.The rectifier’s judgments and feedback to the initial output

Reference 33

Resolution: malformed identifier; no resolver link, observed 2026-08-02T20:28:49.695518Z

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Observation 4c7ea673-4b0a-40ef-a1ee-b7daaba724e6 · outbound

This paper cites an unresolved cited work.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:49.795442Z

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Observation da8be85c-23f6-4265-8c56-f9f47d757efa · outbound

This paper cites Therefore, the expression can only equal non-negative integers, not negative integers.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Therefore, the expression can only equal non-negative integers, not negative integers

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:49.883283Z

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Observation e9f77309-a4b4-4f0e-87a6-5cbcfe96fdb3 · outbound

This paper cites Please review the following suggestions critically: - [MODULAR ARITHMETIC CONTEXT CHECK]: Allow n to be zero as well, since p 120− √x can be zero and still be an integer.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Please review the following suggestions critically: - [MODULAR ARITHMETIC CONTEXT CHECK]: Allow n to be zero as well, since p 120− √x can be zero and still be an integer

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:49.941870Z

Source-reported events for the cited work

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Observation 7161104a-defb-42e5-830b-448e60985038 · outbound

This paper cites an unresolved cited work.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:50.052925Z

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Observation 72fb403e-3387-4fe6-a0e1-5c8e6431b16c · outbound

This paper cites an unresolved cited work.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:50.166783Z

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Observation 43d86c5a-1d9a-4b8a-9117-5c28c0e2fe51 · outbound

This paper cites Figure 15.The rectifier’s judgments and feedback to the Round 1 output.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Figure 15.The rectifier’s judgments and feedback to the Round 1 output

Reference 39

Resolution: malformed identifier; no resolver link, observed 2026-08-02T20:28:50.226835Z

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Observation 0104bb2b-dbe0-4447-9f24-5f17c2ae6301 · outbound

This paper cites an unresolved cited work.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:50.313219Z

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Observation 81cc80c7-34c1-47ab-91f2-74f438cedb26 · outbound

This paper cites an unresolved cited work.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Unresolved cited work

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:50.390619Z

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Observation 64828c09-52e0-4954-a24f-f8f8a5912180 · outbound

This paper cites an unresolved cited work.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:50.473687Z

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Observation a0012528-f17c-47b9-b9e4-f98b59809705 · outbound

This paper cites doi: 10.18653/v1/2021.naacl-main.168.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning doi: 10.18653/v1/2021.naacl-main.168

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:46.741058Z

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Observation 3df7a52d-ab86-4ea5-9124-a74b1ee1b05d · outbound

This paper cites He, C., Luo, R., Bai, Y ., Hu, S., Thai, Z., Shen, J., Hu, J., Han, X., Huang, Y ., Zhang, Y ., et al.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning He, C., Luo, R., Bai, Y ., Hu, S., Thai, Z., Shen, J., Hu, J., Han, X., Huang, Y ., Zhang, Y ., et al

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:46.470821Z

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Observation eb5aec61-477f-4046-81a1-fde7b33b5fb6 · outbound

This paper cites Li, G., Hammoud, H., Itani, H., Khizbullin, D., and Ghanem, B.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning Li, G., Hammoud, H., Itani, H., Khizbullin, D., and Ghanem, B

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:46.573686Z

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Observation 896badfb-2c40-45a2-95be-a1f897b3a72d · outbound

This paper cites GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning.

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-02T20:28:46.962122Z

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