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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 22 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 2026-08-22T06:32:14.747728+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:17.544259Z digest=sha256:cfc0e8942f95d4b33ed74d79a087b05414468e3e60f57719a68696fbebefbfaf

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:17.645605Z digest=sha256:daf19281500889f403013b9d49eccf241c5e4362c0dcafb84b41e07a34586e06

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 2026-08-22T06:32:14.747728+00:00.

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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

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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 2026-08-22T06:32:14.747728+00:00.

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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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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:b3602f61237ffd5af90afdad372cd6a00fa0b11845df02c54f8712c7b72afa43

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:18.040455Z digest=sha256:29580bd8842aefcd032b3a1a679c4e7e76ebb5ed068cc1bd2da52ae21e395520

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:18.138095Z digest=sha256:9630035cd72f132f7ca8b4463716c1ac9db11c442cea3c846f1ba2247bdff036

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:18.233583Z digest=sha256:cc7440ca563319d2d8213791e864e8cd20df3c79296ada68f9a4cb4fe1e6bb19

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:18.326035Z digest=sha256:62e95b29c1896f6c02aee4cdaaf9b004d1c20820b6054917d05fcfa1df1ffb89

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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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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 2026-08-22T06:32:14.747728+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:18.569632Z digest=sha256:989941f4a6614e55fe2a3f8c7e64b00083c5394bbd5cfa243e1285907fcd9abe

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:18.672598Z digest=sha256:81f1aa249ed2c39aac0c7f0ef9f81828758e3f8138d8b1643f283a112cdcaefc

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:18.768219Z digest=sha256:842b633308d62d1787bf00f613f6f3b08bafc73fcbb3f1842225d5f888bcac20

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:19.005280Z digest=sha256:4418981bf90e310f8065659e2548d824f6cee23317cebf5fd63252f432df5ba2

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:19.093248Z digest=sha256:78e1bcadb6b1511c98982fe9eb3c60328bd8b6ba262cddfee0198e3bdd4364da

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:19.164293Z digest=sha256:5fb0d4fb9fc7447762d9dd0e4d939dd0b2a35c80f42b3cd7db3b555d6d68726b

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:19.248237Z digest=sha256:8e75bbe33467b8f4e719b2dd35c2aff7871489acbe923bc0169f42416ba5c69b

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:19.324227Z digest=sha256:e3af62bab26b607bb12c5eef8f43571261d2c127e420f54259a842d92b2d51fd

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:19.413574Z digest=sha256:21cd2056b923acbf226fc7d60739bd665bfa570becb3c11c6ad524e7dd0f7c5c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:19.484740Z digest=sha256:69487878445ca3c35fe49c15b1fa80dcfb9a13bfe2328129c6ab5753e0346336

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:19.572660Z digest=sha256:9c699e7dd22f30f101d658421d9107c0fff8d8497d481dc33e9f5f8db2fe8b35

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:19.653127Z digest=sha256:857afd8d9b87b1e820840fd214841ffe2c1a5b9ddf30748811fea0e4e773aa87

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:19.740114Z digest=sha256:822e97ba43961ecb4f07a577d4cc4ab048ccb663792071de6f343cf2910976d2

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:19.801622Z digest=sha256:dfcd7b64daec7c6e83d399f848b9de8715dd7aa3ea60eccc46b2d529a1fdecd9

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:19.874396Z digest=sha256:e8df189734db50d2bd605070d48a36a943b58cca51c8b2c2bed8bbc6aa33edda

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:19.959266Z digest=sha256:ada3e0298d7eb22cc0869a15629ad04ce7b3d19e39213814e3b5da7c81f62d2a

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

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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:c23d8b10e0303be65d0c0e7f1af47979fbe676505e146b2248cd84c9c0384f5f

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:e18ce9dd8e38c2cce67800b2e4a5395b9310309ba4c45a89a9a4836215dd5870

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

Resolution
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=sha256:21079c17fc2cf2d197b251bb8ce1511367e4ab8f595d8139f4ef5e9049e4e968

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:20.228488Z digest=sha256:27afd0f1bf70789c5738d23b900027a4a7eed9835d6e9ac948c04aabfee6f0f5

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:20.278350Z digest=sha256:95a18bbcb2cee4c92d13d5cd79fd5eef2babe9844a2c92720782d79e67601a60

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:20.363424Z digest=sha256:22f15d3e8ed7d4109fd9cf0e75718b354b23a886e27f7ab6217cefc12508f8cc

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:20.454681Z digest=sha256:d0132298e152d7c7efc4d9e0e77adb60bda667cee434c01933a545f875fe7276

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:20.544010Z digest=sha256:197d8a3dc8cd132131cc7c1f3d8a1eee3f02affd6c9c7355e1f65f104cd246e0

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:20.628790Z digest=sha256:8812f184cafcb883e949e204e5884ecc9d3119821d1501c71e9d0ce7f8b00d4d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:20.688095Z digest=sha256:5c1625cca6380bc9e086b18544738200e8948050f5f74412a3493c60d3a5efac

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

Resolution
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=sha256:5422d0d42920eea57665246b307acf2146e7c4f76d069139c9079c87b127d53c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:20.828573Z digest=sha256:fd8ca0fce89a0780b7f8a3c27bc5bc1b2a49ae6c6e5252795f2ba0b32adbf1cd

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:28:17.792886Z digest=sha256:b18158d8d14fe92f1a6d90ee3b78192145a3d669c93e84abf080ce379bf9c75f

Pith citing papers

No inbound Pith citation observations are available.