Pith. sign in

Paper Citation Record · LEDGER

World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks

As of 18 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 10 inbound Pith citation observations for arXiv:2506.00417.

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

pith.paper-citation-record.v1
2506.00417 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:08:36.772104Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:16:15.011686Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T19:43:43.718500Z

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f88ff31-6494-4a5c-a0b1-cdc4318ee8d1 · outbound

This paper cites Is sora a world simulator? a comprehensive survey on general world models and beyond,.

World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks Is sora a world simulator? a comprehensive survey on general world models and beyond,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:34.972248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:08:34.972248Z digest=sha256:39730cc3e305ec2c20ca89bf7aee62bd7c83ebe1586a2593bac47a1d60c8fb2a

Observation 6c341d02-0eeb-438b-8793-54a429138c97 · outbound

This paper cites World models for autonomous driving: An initial survey,.

World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks World models for autonomous driving: An initial survey,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:08:39.018931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:08:35.079759Z digest=sha256:35c11d53083ee874f24f9aac48ed0ca36e6cc69ee1c472277c7a5393e211b9bf

Observation 13e26c01-fb8a-4ea7-99ad-4349d95eb848 · outbound

This paper cites Understanding world or predicting future? a comprehen- sive survey of world models,.

World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks Understanding world or predicting future? a comprehen- sive survey of world models,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:35.207071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:08:35.207071Z digest=sha256:cc4501cb38b1b2e66f531fd3c9fb4ceea1d305d5038cd73e76df232513667020

Observation efadf224-da38-4e29-a0f0-b0e23a9e7bea · outbound

This paper cites Vision-language models for vision tasks: A survey,.

World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks Vision-language models for vision tasks: A survey,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:08:38.800472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:08:35.290928Z digest=sha256:204b1014af96d269723078df11f8e1d111e45525c1ce67a7c75b101fe36ad0dc

Observation c090997c-33de-4d45-916f-fd746ef8c95f · outbound

This paper cites Mastering Atari with Discrete World Models.

World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks Mastering Atari with Discrete World Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:35.387155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:08:35.387155Z digest=sha256:163b04435906267a3e43a07e1197a19238111336095b6d115928e0a39fd609d7

Observation 64feec93-2d32-4e1b-9655-a3f89b60c35a · outbound

This paper cites Generative AI for secure physical layer communications: A survey,.

World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks Generative AI for secure physical layer communications: A survey,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:08:38.526271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:08:35.497164Z digest=sha256:e1085240a950721df3d4fdd52f4554fab4dd7f463d7353df51c00bf5d2c62695

Observation ca7714dd-b7e2-4737-9705-7676c5e49110 · outbound

This paper cites Generative AI-enabled Wireless Communications for Robust Low-Altitude Economy Networking.

World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks Generative AI-enabled Wireless Communications for Robust Low-Altitude Economy Networking

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:35.649532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:08:35.649532Z digest=sha256:cfac60c9b13f2128444e8c63b80357770022c4b71d6efbaebd09bd9b49cbe7f3

Observation 620f8c7d-8557-4ab5-95d4-f56c00bfeb59 · outbound

This paper cites Digital twin of wireless systems: Overview, taxon- omy, challenges, and opportunities,.

World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks Digital twin of wireless systems: Overview, taxon- omy, challenges, and opportunities,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:08:38.261209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:08:35.718248Z digest=sha256:4f9d2cabc1327d4afb1ad92352b8fe6d802a8f47763c0f815f16b47091a214c6

Observation 6395b7a8-0d29-4d8c-b4c6-780917a003ca · outbound

This paper cites A full dive into realizing the edge-enabled metaverse: Visions, enabling technologies, and challenges,.

World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks A full dive into realizing the edge-enabled metaverse: Visions, enabling technologies, and challenges,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:08:37.877771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:08:35.874499Z digest=sha256:41649c7ced26d8005bce06b46a9195b9d449837d76db11d6a96dc955734066e4

Observation e90213a9-4f70-489b-abcc-2a6fa9039a02 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks On the Opportunities and Risks of Foundation Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:36.034756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:08:36.034756Z digest=sha256:9b856ff382b33fb8f9cf1b2ed10532f4423aa1ba632060a3d5c374690e74678b

Observation 3cf56769-45bd-4e6b-8ac8-7e6912379bf1 · outbound

This paper cites World Models.

World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks World Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:36.199712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:08:36.199712Z digest=sha256:ec0ac2171f6cebf467b478fc82d5644c43739d8d9814837a6b008cb8906e2b96

Observation c2ba2f92-7369-45f0-b211-78787180e80e · outbound

This paper cites WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens.

World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:36.336903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:08:36.336903Z digest=sha256:b6deda74c2ff843ff1170f655684e7a851c148f7f323332f2ba8f291e2fc2909

Observation 16d0cba4-0f12-4cbc-8d63-e5e9969883f5 · outbound

This paper cites Reasoning with Language Model is Planning with World Model.

World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks Reasoning with Language Model is Planning with World Model

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:36.519093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:08:36.519093Z digest=sha256:3f50e5522527b47fd160826f43c02470cc7407cecb86e902d3f03c3f51fb644b

Observation 8f5ba305-6c84-4fa9-aff6-a04b1e761dce · outbound

This paper cites On-board deep Q-network for UA V-assisted online power transfer and data collection,.

World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks On-board deep Q-network for UA V-assisted online power transfer and data collection,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:08:37.626430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:08:36.654242Z digest=sha256:7913740f19ad2aad53a596661e898b382132ec47c6e04dfd25174686e1e30231

Observation e26540cc-1bae-4642-b2e6-dd6197c31a61 · outbound

This paper cites Wind power forecasts using gaussian processes and numerical weather prediction,.

World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks Wind power forecasts using gaussian processes and numerical weather prediction,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:08:37.360896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:08:36.772104Z digest=sha256:951bf869633fc0be6d579c0d52b56e180fc5eb78014f7de9e68ae41b12626089

Pith citing papers

Observation c8398f55-c9ca-482f-bed4-242823be873d · inbound

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration cites this paper.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks

Reference 175

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:15.011686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:15.011686Z digest=sha256:2940f9961f736234bc2cf14e5c1ee56211bf6aee3c259930bc763d52f4192422

Observation 71642d89-9f3a-4d59-b813-be6c92159562 · inbound

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges cites this paper.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T21:02:04.099790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:02:04.099790Z digest=sha256:e172defbfc23b53d358883d0bf954e8a4931748df77daa442a3c98a9c54896e6

Observation b21b5a92-df50-4dd7-bfa9-67d78642e230 · inbound

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions cites this paper.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-05T16:20:59.339898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:20:59.339898Z digest=sha256:f279f7881d59316f8e0fa2e7f01f2ece69213deecd035beb6456e5e4d33708e4

Observation ea24efc5-e620-4f3d-be4f-b27644f3a1d1 · inbound

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-05T04:50:31.630950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:50:31.630950Z digest=sha256:0768385ec2f69c60fe6955fc449f5ad4844cc7eef6135cbdca10565b9c8a28d2

Observation ab8aec98-91f9-4a32-a4d4-bdf7f22a32e9 · inbound

Agentic World Modeling for 6G: Near-Real-Time Generative State-Space Reasoning cites this paper.

Agentic World Modeling for 6G: Near-Real-Time Generative State-Space Reasoning World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T00:10:21.409025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:10:21.409025Z digest=sha256:def78cd2fa86889c2cb5cdf5c61b1d139308a0942f95476caf2ce473f4ac4c26

Observation b4b1210f-6cba-406e-a458-86b063bf7cf9 · inbound

DWM-RO: Decentralized World Models with Reasoning Offloading for SWIPT-enabled Satellite-Terrestrial HetNets cites this paper.

DWM-RO: Decentralized World Models with Reasoning Offloading for SWIPT-enabled Satellite-Terrestrial HetNets World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-03T23:28:01.413748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:28:01.413748Z digest=sha256:72b611f426483692ec049aaf4b9e3481b23f6586a4d8807dcc19e7e970668065

Observation 5fa89a4e-0fdc-4bc0-ad18-e5b3c017d604 · inbound

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing cites this paper.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-02T23:33:07.950270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:33:07.950270Z digest=sha256:c6bf7d2d7c2794309b6322ce6c6c4a73c96d75543ce47e0070cbe01d3f3c6fd0

Observation b1b6185a-2b2c-4669-8c7f-e825070b3693 · inbound

Learning Ad Hoc Network Dynamics via Graph-Structured World Models cites this paper.

Learning Ad Hoc Network Dynamics via Graph-Structured World Models World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:05:22.308444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T12:02:12.857242Z digest=sha256:5e8f59620a58c8c341d25b98a5d56230517320f1129dec867b1b93b30ea28b25

Observation 962dce50-8ba3-4f6e-b27c-6ee4e1785031 · inbound

6G Needs Agents: Toward Agentic AI-Native Networks for Autonomous Intelligence cites this paper.

6G Needs Agents: Toward Agentic AI-Native Networks for Autonomous Intelligence World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:21:05.806086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-09T17:51:49.207230Z digest=sha256:7e6b3c705a8a50a4151b3bdaf7279ccb5b36703700565e1113fd1d82fa854815

Observation 7fa321ce-8ad6-47a0-95b1-722edbe0657d · inbound

World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems cites this paper.

World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:43:43.721306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T19:42:42.243378Z digest=sha256:3e8018fbe48f37cf344066f134df749a79ea632c5efc09d1cfbbe68338396680