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Paper Citation Record · LEDGER

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration

As of 17 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2508.14654.

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

pith.paper-citation-record.v1
2508.14654 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:28:20.828573Z

measured 43 of 43 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.

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

43 of 43 outbound references displayed

  • verified exact5
  • verified fuzzy27
  • unresolved10
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 09e6c1b1-11a8-4032-a89f-20dab1e1cb8e · outbound

This paper cites Shortest path planning and dynamic rescue forces dispatching for urban flood disasters.Scientific Reports, 15:23643, 2025.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Shortest path planning and dynamic rescue forces dispatching for urban flood disasters.Scientific Reports, 15:23643, 2025

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:17.473209Z digest=sha256:b75cbb878bafdf1d9343ff07fc6ae08f2fef801e2dea6d7c9be9bf63b44dc79f

Observation 91adb551-ba6f-4da6-a74e-b1dfae03b538 · outbound

This paper cites Adaptive Reinforcement Learning Model for Simulation of Urban Mobility during Crises.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Adaptive Reinforcement Learning Model for Simulation of Urban Mobility during Crises

Reference 2

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verified exact
local_arxiv, observed 2026-08-05T18:28:21.765193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:17.544259Z digest=sha256:490a52f46e4b25374b259e86ddb0cf7440909f5f024285aa48f6bd274eab175f

Observation 4b39ee61-c2fa-47d8-a698-ad4b1e4120ea · outbound

This paper cites A reinforcement learning-based routing algorithm for large-scale evacuations in urban disaster scenarios.Tunnelling and Underground Space Technology, 2024.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration A reinforcement learning-based routing algorithm for large-scale evacuations in urban disaster scenarios.Tunnelling and Underground Space Technology, 2024

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-05T18:28:28.412068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:17.645605Z digest=sha256:08f84afd487d61c913c64e4afb50c628e260fb323ceb690bb85034e52695c7ff

Observation 4e641d88-dfca-4298-a8a8-ecd44315b760 · outbound

This paper cites Reinforcement learning for optimizing evacuation routes in urban disaster scenarios,.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Reinforcement learning for optimizing evacuation routes in urban disaster scenarios,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-05T18:28:28.192086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:17.730947Z digest=sha256:94007c8925dd6d37893e58c1403b53aaf43c29dfd9d7a0aa2a07019b768f35f6

Observation eeb0928b-e9a5-407d-985f-1517828371d5 · outbound

This paper cites Real-time Spatial Retrieval Augmented Generation for Urban Environments.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Real-time Spatial Retrieval Augmented Generation for Urban Environments

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-05T18:28:21.595589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:17.866168Z digest=sha256:b6321ba5434af21827f21d8e70b4f82526717c52079fde4e0f468ea83e2c7f90

Observation b338e69b-8de7-45f8-a9c5-58168d14c900 · outbound

This paper cites StreetviewLLM: Extracting Geographic Information Using a Chain-of-Thought Multimodal Large Language Model.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration StreetviewLLM: Extracting Geographic Information Using a Chain-of-Thought Multimodal Large Language Model

Reference 6

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unresolved
no resolver link, observed 2026-08-05T18:28:17.951252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:28:17.951252Z digest=sha256:61254d38c6ef358075d251dfb378923196586c388e37499d444e78b9edf90515

Observation d5b9b61a-cfa0-471f-95ba-ee3e3d4c4631 · outbound

This paper cites Deep reinforcement learning for adaptive traffic signal control.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Deep reinforcement learning for adaptive traffic signal control

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-05T18:28:27.728478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:18.040455Z digest=sha256:8e9956ade128b6f7dffd4fb993dd2de93536653b144341cbb06150a85b390814

Observation fc18911f-03b2-4d2d-bc1d-c3e59235a8b5 · outbound

This paper cites Li et al.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Li et al

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-05T18:28:27.419465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:18.138095Z digest=sha256:cef328a6f4db79ec7e8171260973cc346a182801e8d6f74417113221084fe455

Observation 8ea22cb3-680a-4e19-855a-35c5d1b2d128 · outbound

This paper cites Adaptive traffic signal control based on multi-agent reinforcement learning: Case study.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Adaptive traffic signal control based on multi-agent reinforcement learning: Case study

Reference 9

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raw_fallback, observed 2026-08-05T18:28:27.185503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:18.233583Z digest=sha256:6163101d8df9544f9df2d17f5f5cf0323ae43cf48725daa56951cacc855e5c77

Observation 17991ca7-55e9-4c20-8476-18e40f4c636d · outbound

This paper cites Miletic, E.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Miletic, E

Reference 10

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raw_fallback, observed 2026-08-05T18:28:26.968845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:18.326035Z digest=sha256:2b27328997b7dd46bd035669497ea10ba9cab5dd82683c4e9a0a057a32717633

Observation 451f4d39-8c80-4d73-bf64-39af1c8563ce · outbound

This paper cites Michailidis, I.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Michailidis, I

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-05T18:28:26.748097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:18.417653Z digest=sha256:8f9add7268a2eab0aa633a649bac8dc0e0b4eff2bb7e124035230e4e900f7a0b

Observation ff4b1d14-9245-48bb-9276-29e74c5054da · outbound

This paper cites El-Tantawy, B.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration El-Tantawy, B

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-05T18:28:26.482226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:18.503641Z digest=sha256:864c1fb0d11a51f1a0f685c890e2859a44f222ed9331b7fa9f1d9c6990c695e4

Observation 095af4a9-5097-4168-86e3-263df41b9fbd · outbound

This paper cites an unresolved cited work.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Unresolved cited work

Reference 13

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unresolved
raw_fallback, observed 2026-08-05T18:28:26.308228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:18.569632Z digest=sha256:6bd268013d62e3f9b38e1943d8662685fb6781dde5f98890115779159ae46cf2

Observation 36c35b13-e78d-4434-a561-3fe55b359337 · outbound

This paper cites Adaptive Traffic Signal Control: Deep Reinforcement Learning Algorithm with Experience Replay and Target Network.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Adaptive Traffic Signal Control: Deep Reinforcement Learning Algorithm with Experience Replay and Target Network

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-05T18:28:21.427335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:18.672598Z digest=sha256:ab6296c16a53578118a6b765c669ae22b18c0185799949c6d3a4b0867df92bf7

Observation ac4868f4-02a3-4ddb-82f2-27dca89cc0ef · outbound

This paper cites Llm agents for smart city management: Enhancing decision support through multi-agent ai systems.Smart Cities, 8(1):19, 2025.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Llm agents for smart city management: Enhancing decision support through multi-agent ai systems.Smart Cities, 8(1):19, 2025

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:28:26.038887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:18.768219Z digest=sha256:2c6b909dd8c9558cb22bc2967ac3843e848777b482b0ca103d6e41d20c2b6c4c

Observation ab28a529-62fa-4322-ad16-f73b616cdd92 · outbound

This paper cites WildfireGPT: Tailored Large Language Model for Wildfire Analysis.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration WildfireGPT: Tailored Large Language Model for Wildfire Analysis

Reference 16

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unresolved
no resolver link, observed 2026-08-05T18:28:18.844092Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T18:28:18.844092Z digest=sha256:619de41393b90f6116e5177844b71681eacc4a688ad76a364c9074aa88e3937a

Observation abfb4297-74b1-43a0-81b0-24091b317d9f · outbound

This paper cites Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications

Reference 17

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no resolver link, observed 2026-08-05T18:28:18.919132Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:28:18.919132Z digest=sha256:3235c6206047294d291c2483393284487d907edd2e05235d05101105bf65489f

Observation b8715f99-77ef-4ca4-9ca8-df6b4f645ceb · outbound

This paper cites Zhao et al.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Zhao et al

Reference 18

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:19.005280Z digest=sha256:c73e272678f1e2caa180a1508643c8b18a6f0e5ac47c5015b441bfe3f21690be

Observation 26b76c5a-16af-4f76-b520-991ed9cfcfff · outbound

This paper cites Xu et al.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Xu et al

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:28:25.644364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:19.093248Z digest=sha256:ac0e15102d7dc718c61fe2bd4f4d12db0db3b86b2a22db275bf2296647fbf3fe

Observation 81c6261a-fa43-445c-b890-308e3ca67c7f · outbound

This paper cites Compu- tational experiments: Past, present and perspective.Acta Automatica Sinica, 49(2):246–271, 2023.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Compu- tational experiments: Past, present and perspective.Acta Automatica Sinica, 49(2):246–271, 2023

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-05T18:28:25.468139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:19.164293Z digest=sha256:395e1e669b0cddc8a0d8e4ae2b7e58f9669c4376c504e8da658efdf52b06d09c

Observation cfba85d9-8790-4534-bf26-4a1c52f054e6 · outbound

This paper cites Computational experiments: A new method for analyzing cyber-physical-social systems (CPSS).IEEE Transactions on Systems, Man and Cybernetics: Systems, 54(2):813–826, 2024.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Computational experiments: A new method for analyzing cyber-physical-social systems (CPSS).IEEE Transactions on Systems, Man and Cybernetics: Systems, 54(2):813–826, 2024

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-05T18:28:25.211517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:19.248237Z digest=sha256:19d28f7b44a20961abdd5b87b9eafdd2ded6b3ada23ec6bb6c32ed8bf6472c69

Observation a9945a94-edae-4041-8fa4-fef46869f770 · outbound

This paper cites Computational experiments for complex social systems part I: The customization of computational model.IEEE Transactions on Computational Social Systems, 9(5):1330–1344, 2022.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Computational experiments for complex social systems part I: The customization of computational model.IEEE Transactions on Computational Social Systems, 9(5):1330–1344, 2022

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:28:24.893113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:19.324227Z digest=sha256:caaaff7f2d60c4fd920fa5922e25f7830eb104ad8773a181c41966905f4a69ab

Observation a0617b14-3dfd-4c12-bbbb-8bdcb9f0abf3 · outbound

This paper cites Computational experiments for complex social system part II: the evaluation of computational model.IEEE Transactions on Computational Social Systems, 9(4):1224–1236, 2022.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Computational experiments for complex social system part II: the evaluation of computational model.IEEE Transactions on Computational Social Systems, 9(4):1224–1236, 2022

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:28:24.591648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:19.413574Z digest=sha256:fbae10fe9b5321da344715abe5fe0aeae30061052de19e6d2857721383fc37d2

Observation 4f9d4988-e973-40fa-8c10-25be6059402f · outbound

This paper cites Computational experiments for complex social systems, part III: the docking of domain models.IEEE Transactions on Computational Social Systems, 11(2):1766–1780, 2024.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Computational experiments for complex social systems, part III: the docking of domain models.IEEE Transactions on Computational Social Systems, 11(2):1766–1780, 2024

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-05T18:28:24.333238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:19.484740Z digest=sha256:54c0bc9df2177f5f6dd2fc6f0d05b9aecf7b8ab15842352ab27acddfd4e0f209

Observation 3dbb58ad-55ac-41c9-8dbf-9b325379ace6 · outbound

This paper cites Computational experiments for complex social systems: Integrated design of experiment system.IEEE/CAA Journal of Automatica Sinica, 11(5):1175–1189, 2024.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Computational experiments for complex social systems: Integrated design of experiment system.IEEE/CAA Journal of Automatica Sinica, 11(5):1175–1189, 2024

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:28:24.118438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:19.572660Z digest=sha256:8837fbaee9faf4e894eeb8e97594e6ebb02cd96c140369415d698dc3f97230a8

Observation 6a3e177d-c659-45da-abd0-7d1862f47b28 · outbound

This paper cites Computational experiments for complex social systems: Experiment design and generative explanation.IEEE/CAA Journal of Automatica Sinica, 11(4):1022–1038, 2024.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Computational experiments for complex social systems: Experiment design and generative explanation.IEEE/CAA Journal of Automatica Sinica, 11(4):1022–1038, 2024

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:28:23.870826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:19.653127Z digest=sha256:45fbc19f4d73840eb0d3689aacbf4677045125c49ce3139ed9b43c140df81a12

Observation 776084ae-3ec9-4499-933f-54addfadf499 · outbound

This paper cites Social learning evolution (SLE): Computational experiment-based modeling framework of social manufacturing.IEEE Transactions on Industrial Informatics, 15(6):3343–3355, 2019.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Social learning evolution (SLE): Computational experiment-based modeling framework of social manufacturing.IEEE Transactions on Industrial Informatics, 15(6):3343–3355, 2019

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:28:23.657340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:19.740114Z digest=sha256:a8b89ae1dabc18ad9a4492e6318f743651889f26ddb46ce3b17264163015bcbf

Observation e00bae63-2e45-4673-989d-3f788a7e0c5c · outbound

This paper cites SLE2: The improved social learning evolution model of cloud manufacturing service ecosystem.IEEE Transactions on Industrial Informatics, 18(12):9017–9026, 2022.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration SLE2: The improved social learning evolution model of cloud manufacturing service ecosystem.IEEE Transactions on Industrial Informatics, 18(12):9017–9026, 2022

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-05T18:28:23.320837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:19.801622Z digest=sha256:cc67c17ba87529ae21551bd75074c6a5dfd7d9cd66c83ab4307f8a6a59c67c96

Observation 0a340fc4-5311-4d71-909f-10b966e141fb · outbound

This paper cites Urban flooding digital twin system framework.Systems Science & Control Engineering (Open Access), 13(1):2460432, 2025.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Urban flooding digital twin system framework.Systems Science & Control Engineering (Open Access), 13(1):2460432, 2025

Reference 29

Resolution
verified exact
raw_fallback, observed 2026-08-05T18:28:21.274659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:19.874396Z digest=sha256:73a3838b0ba71036575dd1feec209daa83b6a313763c4b39fd20d8d8e6bf4ee9

Observation 2f8c0c63-1cda-4ea8-9163-f14085c81ee1 · outbound

This paper cites Retrieval-augmented generation across heterogeneous knowledge.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Retrieval-augmented generation across heterogeneous knowledge

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:28:23.081669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:19.959266Z digest=sha256:ca95e2765cee1ca9fd6cbe8234c555d33317920d9294f43bd44a62d2e569c2bc

Observation a257cb08-d1fb-41cf-96c0-6a18c46e16cb · outbound

This paper cites KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T18:28:20.010463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:28:20.010463Z digest=sha256:cb2d6e6f9ac8e7fc022af4f691e97a851548ea813d1a5fe8355f7a9fb71b2403

Observation d1cb8f84-813f-4cd8-8091-01520b613d8d · outbound

This paper cites Kg-infused rag: Augmenting corpus-based rag with external knowledge graphs.arXiv preprint arXiv:2506.09542, 2025.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Kg-infused rag: Augmenting corpus-based rag with external knowledge graphs.arXiv preprint arXiv:2506.09542, 2025

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T18:28:20.097753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:28:20.097753Z digest=sha256:223f77f42ee71dbbb483b86cff661067bb815efefa20db343f07aef9e4cbc747

Observation bbd58029-b172-44b5-8fab-8ccfafd5f1b3 · outbound

This paper cites Semantic uncertainty in advanced decoding methods for LLM generation.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Semantic uncertainty in advanced decoding methods for LLM generation

Reference 33

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unresolved
no resolver link, observed 2026-08-05T18:28:20.143481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:28:20.143481Z digest=sha256:2613341fd15de0b8708254e94a99b6b67a49666538171051dc641d263f5e8365

Observation ee357c46-249b-4304-b241-df91b20292ec · outbound

This paper cites Min-p sampling for creative and coherent llm outputs.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Min-p sampling for creative and coherent llm outputs

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-05T18:28:22.924437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:20.228488Z digest=sha256:3395014137832aa253387b8a9c5a3abf13157c65dbed4c31ec7c359dfca5f87e

Observation eb821322-f5e1-44da-9b3c-08a397837ef0 · outbound

This paper cites Improving diversity in language models: When temperature fails, change the loss.ICML 2025 Poster / Proceedings, 2025.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Improving diversity in language models: When temperature fails, change the loss.ICML 2025 Poster / Proceedings, 2025

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-05T18:28:22.750897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:20.278350Z digest=sha256:f2847797059a41c2cbfb697e7d4f7e6e67a595ecc71caae3fcea37ff0b83ae46

Observation d5eb23b9-6510-4a6e-a828-ba0c556092bb · outbound

This paper cites Hypertree planning: Enhancing llm reasoning via hierarchical thinking.ICML 2025, 2025.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Hypertree planning: Enhancing llm reasoning via hierarchical thinking.ICML 2025, 2025

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-05T18:28:22.557922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:20.363424Z digest=sha256:e9dcca3dd126929b5b856ff56afe77f83b8b4880d743f14af38778e9508efa04

Observation 692e1050-1a50-414c-bc24-8d8a768d6165 · outbound

This paper cites an unresolved cited work.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Unresolved cited work

Reference 37

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unresolved
raw_fallback, observed 2026-08-05T18:28:22.455451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:20.454681Z digest=sha256:affcdd894529250699da334d403f05f8c86122be448fa4519dd8d75d7e59b76d

Observation 7859831d-ce30-4c18-b967-24ec7c86732b · outbound

This paper cites an unresolved cited work.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Unresolved cited work

Reference 38

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unresolved
raw_fallback, observed 2026-08-05T18:28:22.263956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:20.544010Z digest=sha256:355460f798f5fa20fd2a218955d9ee9e34aba7b1c361b29213fd81e27aad276a

Observation f5ab9a19-0fcf-4f04-b2f2-874d096a9f7e · outbound

This paper cites Fehér et al.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Fehér et al

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-05T18:28:22.038555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:20.628790Z digest=sha256:d83fca576ff915f4d51807f2e33148b78a00c90936836acef9486a503f9fbfa5

Observation d74891d6-d2c8-4ebd-8551-69f141bc5802 · outbound

This paper cites Predicting question- answering performance of large language models through semantic consistency.Findings of ACL Workshops 2023: GEM, 2023.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Predicting question- answering performance of large language models through semantic consistency.Findings of ACL Workshops 2023: GEM, 2023

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:28:21.898714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:20.688095Z digest=sha256:66671f83f1ea60bd2ac2203d128c81c2dffcce4161df923e00ad8131a682fa2f

Observation 0c1212cd-2a33-4b6f-ad63-94bc311c660b · outbound

This paper cites SCORE: Systematic COnsistency and Robustness Evaluation for Large Language Models.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration SCORE: Systematic COnsistency and Robustness Evaluation for Large Language Models

Reference 41

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unresolved
no resolver link, observed 2026-08-05T18:28:20.753704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:28:20.753704Z digest=sha256:c196bb521cf3392ef3aa7ec892bc4fb1aff2b83b5c0426b268c3274bf20cc902

Observation 2aad244e-74cb-4420-92f2-229ff39b3e4b · outbound

This paper cites Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic Segmentation.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic Segmentation

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-05T18:28:20.969293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:20.828573Z digest=sha256:9e5ce756d9dd4ed3f794bc1470e334df6199f891274ba377837f7d330ce982bb

Observation 285a0650-bd45-4bc2-8bb6-9feab9994d71 · outbound

This paper cites an unresolved cited work.

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration Unresolved cited work

Reference 2025

Resolution
parse uncertain
raw_fallback, observed 2026-08-05T18:28:27.974010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:28:17.792886Z digest=sha256:9df18c921f1766dd82cb17fb554d394883915d177c5c1d7d062f16aeb8ee62b8

Pith citing papers

No inbound Pith citation observations are available.