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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 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:17.473209Z digest=sha256:f92f1c242609c667f8ed8a781d1f9d6d2ef348e0ab1f013470687f17c12b4fbd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:17.544259Z digest=sha256:e6a750c53c174a18249853fe27ef11146985863861f0030c8b88f8bbe998bd58

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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:17.645605Z digest=sha256:024f8a3ff86d18dd3150c992479ac6e0b3581e43d2f5209e4bd325add1e82b57

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:17.730947Z digest=sha256:f51db95c72096cc1fe68d2931e70ebf22011e565cc49f7af97b8bf191148f76a

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 2026-08-09T06:31:02.800959+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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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=sha256:1781b2aa0de3e2c54af982e1c86e83b558e92e96e94b94a5dcf6cb6d27752807

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:18.040455Z digest=sha256:6d26927f3d39ed5b18f4312317813a0dd87f779438982a2077a7e62ce73e82fb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:18.138095Z digest=sha256:3e4fd16085f63205e54d2bface3df8cb84afd3fa75523fca38e7546099beb59f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:18.233583Z digest=sha256:5f605b6da9df9125223479cacbe891ca9c688eed24e7fff9e83448b6efffa82c

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 2026-08-09T06:31:02.800959+00:00.

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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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:18.417653Z digest=sha256:13c9e103af5e1cddd7a4b6a8f90da59523d2ae41155b6e1247e3c63095a7c336

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:18.503641Z digest=sha256:40f4aa05e800863572557012a5d3b6291654304164d52bcd7a2b739c30f0fa1c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:18.569632Z digest=sha256:5650b530a3381245736dff3c602ea72357201fb984fcf5e9bcba480b03f35b9e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:18.672598Z digest=sha256:345ec7ab9b157647048c22cff53e13010f763beeccf2158484a16f714cb59e65

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:18.768219Z digest=sha256:dae733a48530495029620b29a8eaeac306cfa2651a6dcc422569af44252f793d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:28:18.919132Z digest=sha256:0fd75c2cc2ee2f12777feac0280a61d095ab62fe12e439c23b85f9ca5cc1d229

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
raw_fallback, observed 2026-08-05T18:28:25.835659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:19.005280Z digest=sha256:4aec621e0c30fe16fbc901c1a83e56030cd97414e039d17619caa3e702e21df0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:19.093248Z digest=sha256:4f96afee80368a14128d2a7777efc073b8110ccf296b69721bf51df9a5f85393

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:19.164293Z digest=sha256:0c8011e29f348d76f244e523644cef4f6352234be2f3de466b521a16fa46edd1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:19.248237Z digest=sha256:8f229ece43276facb1f8bf52c01f79062826a58bd318f82652bd4b6eac6ad959

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:19.324227Z digest=sha256:e398910b8ac57da66e60f4284a214e52e939b176c85b99fadc8b5c6cb049726e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:19.413574Z digest=sha256:0f830124c741809619c90cb8bc4c9b1fdc1c114ec0c66a481f21767cc0da7439

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:19.484740Z digest=sha256:e28665928dc65bddabcd7384fc7c8fa3c99efd0a96a381ddbf9134b8062fc694

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:19.572660Z digest=sha256:2d8ad13429fca4355f3c4bc8e2d6eb1bfb23e0e0b78a2a8c78611859bd0b5895

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:19.653127Z digest=sha256:1b8fe0956e930da3bad668602151f7502970d8d1bc2cd5f917f859a15e8da79c

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:19.740114Z digest=sha256:489c85e2de92b4b7722a74052bb3ad1b751a215903f0251cb5f7938c3c80ad71

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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:19.801622Z digest=sha256:3e98217a19d03c2a20f71fa78d338efbcd2cc9d7ab86f9761f49acc1a6031729

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:19.874396Z digest=sha256:097fd7b2e8881f70f3b2ca5870c366691126b33d9794f8fe19b6e0aa383bc0f0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:19.959266Z digest=sha256:af343524103e09c42429c70ed9b83826f0f4f39156b586716b36a83084edeaf7

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:af6e23e71394237ef50250e78495c40d8c011aea3d520daafbb34abafe50c989

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

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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:dea994a5947494a306685cff9e2a7619f68d0b8ecc40af7273eed683dccb189d

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=sha256:64f5a1ce5fca5018945c8a4171b4db9573826afee19eda3e34b51b778f0c6c0f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:20.228488Z digest=sha256:7543d452cd47ed7cbb4e106848844f80fe4e1944d67e1386b8a0d78d2b760feb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:20.278350Z digest=sha256:6a16d7758a1fbdbc215439f7911bbeef52cdd1077cd96e84599d920e734fdc7f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:20.363424Z digest=sha256:dd490c44b102cf4798688e0e40ee4ec5f915218d723658c6beac18f97846fc76

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:20.454681Z digest=sha256:b218576d2b212a3fa7c0945b7c93a7fe6305ccfdbbcbc4cd8c88787681cd902a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:20.544010Z digest=sha256:87096ff2a24906026ac7d415f2478aeab8f124271a5e3ec327df01dee2ce5b36

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:20.628790Z digest=sha256:503915123a652a206cced821138ede4bcfda2e19e2f138871a06a1197cdf2264

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:20.688095Z digest=sha256:0cfcb1305af007c826f3d033d3034805746d7f8c876fe4185bbedd85defbb42b

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:bbb8b56aadd19bfca1107c7c380d1db2a88c33e0ae4f0976ec7294c5ab309dcf

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:20.828573Z digest=sha256:07e1f4fc66f35d05afbce303fbbd02213d90a3b983b1b70ae2621970a6968888

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:28:17.792886Z digest=sha256:de5c147bc9a09891fd3080516aaff50e44f4ba7fa199288621998e212a00e5ca

Pith citing papers

No inbound Pith citation observations are available.