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Paper Citation Record · LEDGER

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams

As of 23 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2506.14237.

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

pith.paper-citation-record.v1
2506.14237 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:24:54.383872Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

58 of 58 outbound references displayed

  • verified exact0
  • verified fuzzy56
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0d7d73fd-cadb-4644-8be1-77f20adef7a4 · outbound

This paper cites Deep reinforcement learning based computation offloading and trajectory planning for multi-UA V cooperative target search,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Deep reinforcement learning based computation offloading and trajectory planning for multi-UA V cooperative target search,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.455650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:48.194343Z digest=sha256:05989dd8db6d3c15fa304d8ff7c394e77a1a9d07b00cabea88ba74d5718f9de1

Observation 6382c00b-71a9-4639-be55-7628c579bb15 · outbound

This paper cites Intelligent reflecting surface enhanced indoor robot path planning: A radio map-based approach,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Intelligent reflecting surface enhanced indoor robot path planning: A radio map-based approach,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.398646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:48.237193Z digest=sha256:aa13b19335d3e90106b65a35c492e6ec339feb2b5c02b16c664c5d5bf9ab906e

Observation ddd077be-614b-4c9a-bec5-c2b4df9cfb1d · outbound

This paper cites Multi-agent multi-armed bandit learn- ing for online management of edge-assisted computing,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Multi-agent multi-armed bandit learn- ing for online management of edge-assisted computing,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.347893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:48.343314Z digest=sha256:b5f0b3ed81bdfec69c9278dc7041945f8ab16563ada4b202a2b915b0087c25cf

Observation bfbd2d03-0f11-40cf-b098-487f03772577 · outbound

This paper cites Trajectory planning of cellular-connected UA V for communication-assisted radar sensing,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Trajectory planning of cellular-connected UA V for communication-assisted radar sensing,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.297317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:48.435457Z digest=sha256:462a637f49c8ae29e9ccb72a1b1b5d47ef0b5c0e24fefe745440fa3ac27c2330

Observation 26ece7ff-605c-4937-b119-fb4f341ecf1a · outbound

This paper cites Survey on cooperative perception in an automotive context,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Survey on cooperative perception in an automotive context,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.273241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:48.521580Z digest=sha256:27da441cfa691c43854aa0b62a0645143963abd2ad6e64042c9a1f4c547b802a

Observation b9f0b4ee-2f72-4259-aa53-0ecc71d7aedc · outbound

This paper cites Online anticipatory proactive network association in mobile edge computing for IoT,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Online anticipatory proactive network association in mobile edge computing for IoT,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.258673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:48.597590Z digest=sha256:dc66ba75ef60b620d820f2057f5e7eada89dbdfec95b60cee2dfec8dfc264ca3

Observation d3341a8c-19b3-4aa6-96a9-be9b7c6d4b6c · outbound

This paper cites A survey of driving safety with sensing, vehicular communications, and artificial intelligence-based collision avoidance,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams A survey of driving safety with sensing, vehicular communications, and artificial intelligence-based collision avoidance,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.244916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:48.742016Z digest=sha256:83d008d14b93fcfd757fcb3bfbb979a46ffbc36b7233b3e6e633efe4880cbe0f

Observation 5357cc0c-8002-4b0c-b936-f49e5fb9f39d · outbound

This paper cites Wireless networked multirobot systems in smart factories,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Wireless networked multirobot systems in smart factories,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.230808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:48.828450Z digest=sha256:38e1f1ea43965539d1e459fc0403b2fa4081b072e00300283031d110a2d71b85

Observation 46bca888-572e-431a-a459-a599350227ee · outbound

This paper cites Sum-rate maximization for multi- reconfigurable intelligent surface-assisted device-to-device communica- tions,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Sum-rate maximization for multi- reconfigurable intelligent surface-assisted device-to-device communica- tions,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.216044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:48.913887Z digest=sha256:aefaa67579bdd79a9c055f9a82b9e7d9366b9439556a6569335f705e271e5aab

Observation dfc46011-b5d6-441f-897f-adbc439f5a9d · outbound

This paper cites Edge robotics: Edge-computing- accelerated multi-robot simultaneous localization and mapping,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Edge robotics: Edge-computing- accelerated multi-robot simultaneous localization and mapping,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.202311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:48.992339Z digest=sha256:33e8ea1373938c0a31afa68d1a3d83f1a2e94e26563794f6f6367fba18887c41

Observation 4aee132c-7941-4650-85e0-4d386ec1a147 · outbound

This paper cites Age of information: An introduction and survey,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Age of information: An introduction and survey,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.188333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:49.137922Z digest=sha256:afd28f7ccdeb02cc1c16a5526d21e48529140781dfc4ced41029edc3e81d199c

Observation 0933f301-c65c-4da2-aae2-f4f8d57908a2 · outbound

This paper cites Distributed and communication-aware coali- tion formation and task assignment in multi-robot systems,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Distributed and communication-aware coali- tion formation and task assignment in multi-robot systems,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.174342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:49.226520Z digest=sha256:ed6c2ccbb2aad94519b44cb61a40b4d1b0513e2a4265a67e1d47d3e2d4b8824f

Observation cb5daf22-8270-4356-9fa1-6a84e4dfb52d · outbound

This paper cites Ultra-reliable and low-latency communi- cations in 5G downlink: Physical layer aspects,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Ultra-reliable and low-latency communi- cations in 5G downlink: Physical layer aspects,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.160296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:49.307869Z digest=sha256:3adf26e28eb78a5aac7e1d199a9d6430ef2d183561effdea620c1838a8843c11

Observation 960607d6-f3bb-431e-bee5-0ac1c14684d4 · outbound

This paper cites Introduction to time-sensitive networking,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Introduction to time-sensitive networking,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.146332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:49.405655Z digest=sha256:8fbf68f3fd65870ce207ca2bf3d8ec5b303b4514021af1ae4a08730542779875

Observation 85d10ae3-2805-477f-ac9a-1de0140bff25 · outbound

This paper cites Federated multi-agent deep reinforcement learning for resource allocation of vehicle-to-vehicle communications,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Federated multi-agent deep reinforcement learning for resource allocation of vehicle-to-vehicle communications,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.131469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:49.519122Z digest=sha256:ed45d2b3b28c0e622f44c8f4873e407e9efd4ae51b11e72224c1e1e70c84595a

Observation c30db730-0f6d-4dbc-ae68-f49895e9f715 · outbound

This paper cites Cooperative UA V trajectory design for disaster area emergency communications: A multiagent PPO method,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Cooperative UA V trajectory design for disaster area emergency communications: A multiagent PPO method,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.116341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:49.637388Z digest=sha256:9942933186567f1cb95f31bc65949d302f6285436122ef41441d0de4d1687154

Observation 53f75cfb-9e5f-4c10-b1f9-b370a24ff6c2 · outbound

This paper cites Privacy-preserving multi-agent deep reinforcement learning for effective resource auction in multi-access edge computing,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Privacy-preserving multi-agent deep reinforcement learning for effective resource auction in multi-access edge computing,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.100992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:49.716286Z digest=sha256:83f0d1c81f0c6769b0363a232703262334470cf2035cad5ed2fad8071966e16f

Observation 0edd0205-db2d-4207-860b-ef5c2e0470ac · outbound

This paper cites Optimal control-aware transmission for mission-critical M2M communications under bandwidth cost con- straints,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Optimal control-aware transmission for mission-critical M2M communications under bandwidth cost con- straints,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.086149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:49.807701Z digest=sha256:ac4dccdb589c93d00dfdfc4b0d969ddce81fe659bca8bb3d521cc92a261aad19

Observation faabfd36-1f5b-446c-8cc9-e477bfbbaf0b · outbound

This paper cites Control-aware uplink resource allocation for cyber-physical systems in wireless networks,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Control-aware uplink resource allocation for cyber-physical systems in wireless networks,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.071014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:49.896949Z digest=sha256:1bd1bd18d57e7b281c8d657082a41b70465209bd7083c0aa9ff6f46ab732ff10

Observation 0d7c0572-b338-48be-a09d-67924c45b5e4 · outbound

This paper cites Control performance aware cooperative transmission in multiloop wireless control systems for industrial IoT applications,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Control performance aware cooperative transmission in multiloop wireless control systems for industrial IoT applications,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.054540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:49.986487Z digest=sha256:f2a350dcde5b1a706b24803e56ac8aec0fcf3570eb759ad1b6ace515c7b4e272

Observation 09ed41ea-2a18-4529-b06b-f0e838ae00c8 · outbound

This paper cites Modulation-free M2M communications for mission-critical applications,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Modulation-free M2M communications for mission-critical applications,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.039818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:50.094725Z digest=sha256:25fc054ac6ae30bbaa03d79e846968329d2ad7ed1125c3799cec45d8aa539604

Observation f73a6995-644a-4cf4-87ac-fa05c827e338 · outbound

This paper cites Access control and resource allocation for M2M communications in industrial automation,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Access control and resource allocation for M2M communications in industrial automation,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.023970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:50.172753Z digest=sha256:8d8ca11b5cba86c4599fe00aafde255aa7c991c753ddf4eaaa2a56baac959280

Observation c375e884-910e-4eb4-a3e2-b0e4e18a99e4 · outbound

This paper cites A hybrid computing solution and re- source scheduling strategy for edge computing in smart manufacturing,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams A hybrid computing solution and re- source scheduling strategy for edge computing in smart manufacturing,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:55.007638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:50.249794Z digest=sha256:1ff43219e0f7c6e4adc346400d931989f8fa73ac52f051c8c795751ef3ee7d2a

Observation a5f19e53-c16f-4048-9695-2e4750184720 · outbound

This paper cites Augmented deep reinforcement learning for online energy minimization of wireless powered mobile edge com- puting,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Augmented deep reinforcement learning for online energy minimization of wireless powered mobile edge com- puting,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.991662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:50.285829Z digest=sha256:a006091de92fa60e9f77c2d408b7670a76af9031d9d58f09b5685cf3d1584da3

Observation 4be00bae-92ab-4b25-a43d-a3b6694db539 · outbound

This paper cites Delay minimization for NOMA-enabled mobile edge computing in industrial Internet of Things,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Delay minimization for NOMA-enabled mobile edge computing in industrial Internet of Things,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.975688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:50.424192Z digest=sha256:07e2b4440212e48622082c66fc2f6d418ef47cdf3bf396da3a631b0b0dffe3b7

Observation ff95d758-bc5e-4478-becd-0589417f5582 · outbound

This paper cites Multi-agent deep reinforcement learning- based interdependent computing for mobile edge computing-assisted robot teams,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Multi-agent deep reinforcement learning- based interdependent computing for mobile edge computing-assisted robot teams,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.960847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:50.534740Z digest=sha256:d073728eaece98a1a26a6e82c2a95d87179974a9ce4f77738f96c3660b51e27f

Observation 3114e0ce-9727-4bc1-8f6a-1a98c796d131 · outbound

This paper cites Real-time status: How often should one update?.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Real-time status: How often should one update?

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.945475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:50.633326Z digest=sha256:c0ba976e607069b7046efebd4fc070a8cc400dc905bb278a20f2597e16a2b724

Observation b72dd171-25e4-4a49-8171-f3421b8f69de · outbound

This paper cites Two freshness metrics for local cache refresh,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Two freshness metrics for local cache refresh,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.930632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:50.716994Z digest=sha256:e89c9fbe3c80782b45603c6b112d3ca07a6b53bd2d4eace96cf48c3a0dcb0e08

Observation 0a14c3f4-7cd7-4946-a1ec-4f44812a5f8b · outbound

This paper cites The age of incorrect information: A new performance metric for status updates,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams The age of incorrect information: A new performance metric for status updates,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.916895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:50.855145Z digest=sha256:88785582d06d52414dc193ea4927c8b15ce893bc42cc10ac9ed9f447792b6aea

Observation a0d2f730-7665-4163-9f92-4c5eccf309ca · outbound

This paper cites Urgency of information for context- aware timely status updates in remote control systems,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Urgency of information for context- aware timely status updates in remote control systems,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.902549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:51.234019Z digest=sha256:97b1513bb9f7049ec8352883c109940d984791d10340e4eb6badf21d12af5674

Observation eff4423e-1f0a-4e03-9c42-55a629cd7ba5 · outbound

This paper cites Age of changed information: Content- aware status updating in the internet of things,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Age of changed information: Content- aware status updating in the internet of things,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.887385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:51.550432Z digest=sha256:52734b881a5ba9918ebf20ffd6ce495bd4cf092b8a96a962576ced1839999cb3

Observation cb22f389-190e-4dde-82f6-1b6cdea36cb4 · outbound

This paper cites Minimizing the age-of-critical- information: an imitation learning-based scheduling approach under partial observations,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Minimizing the age-of-critical- information: an imitation learning-based scheduling approach under partial observations,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.873158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:51.669547Z digest=sha256:78352a69778eec2a94aeb8b5230d9bb0b7c5bb4d37384d69c36910105ae064bb

Observation 54476abc-1924-4310-92cc-aac0f45be69f · outbound

This paper cites Scheduling status update for optimizing age of information in the context of industrial cyber-physical system,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Scheduling status update for optimizing age of information in the context of industrial cyber-physical system,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.858839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:51.814975Z digest=sha256:d6f09e07dc4e74e9d89c2390d3a995264c06b0ca8ce6adba1946f43331c983b4

Observation f6858817-3847-490f-9e2f-13004346a46f · outbound

This paper cites Learning-based autonomous scheduling for AoI-aware industrial wireless networks,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Learning-based autonomous scheduling for AoI-aware industrial wireless networks,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.845467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:51.910447Z digest=sha256:67a4fe54a439a3f7fa801b05947965552ad5bdb2e0b9524c9ffe13ddf4328038

Observation bf098001-7269-4796-8959-5799ea475add · outbound

This paper cites Age of information aware channel allocation for wireless industrial networks,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Age of information aware channel allocation for wireless industrial networks,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.830351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:51.989479Z digest=sha256:650e75faf97937dfe44c8c460387e3c98b0f72490208a7c28f5a45ae5e848e7e

Observation 8672933c-6292-4e78-a620-089550aa0a6b · outbound

This paper cites Age of information in energy harvesting aided massive multiple access networks,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Age of information in energy harvesting aided massive multiple access networks,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.815549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:52.049625Z digest=sha256:c1d61643247e040dc2ca7cda4a75b80d28412b7b541d55c7edb2df5cbadf3d65

Observation 58d83ec2-1517-4539-84c7-f5f456a6d1d0 · outbound

This paper cites On the age of information in multi-source multi-hop wireless status update networks,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams On the age of information in multi-source multi-hop wireless status update networks,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.801774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:52.166239Z digest=sha256:bc09c22ecff4af1f6aa19c37430c2a069d786ba36c9f300379bed5bf2213474c

Observation 5b932637-51fa-445c-9a34-a3ce9ee17471 · outbound

This paper cites Age of information in multi- hop networks with priorities,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Age of information in multi- hop networks with priorities,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.787602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:52.258940Z digest=sha256:e564994e9eb2ea23aa653413a04ffca20d7af5d1a23e6b665428b35996b21716

Observation 7c4e7fc0-7db2-498a-8f96-0fd6e5372e2c · outbound

This paper cites Sampling of the Wiener process for remote estimation over a channel with random delay,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Sampling of the Wiener process for remote estimation over a channel with random delay,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.772274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:52.318897Z digest=sha256:2d4416f9db990e11c6944fef9497c56c7951a8f6442d8b1c3103d52a860d6a68

Observation be6e8cc0-cb50-4f2c-8a59-d3b4233df39e · outbound

This paper cites Sampling and remote estimation for the Ornstein-Uhlenbeck process through queues: Age of information and beyond,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Sampling and remote estimation for the Ornstein-Uhlenbeck process through queues: Age of information and beyond,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.758733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:52.437554Z digest=sha256:35d9517ff6dc4eca9316685fdb1c5d8f5b600a374a502b631dd1fe362d4b0ab2

Observation 71ffc924-049e-46f7-aa2c-2cdd7c5c1756 · outbound

This paper cites The age of incorrect in- formation: An enabler of semantics-empowered communication,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams The age of incorrect in- formation: An enabler of semantics-empowered communication,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.744632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:52.536584Z digest=sha256:0f632e5aa35c815b3545aa49c5f80438b4a972410500cd44e530fb10ebc21163

Observation 703ca21b-2f7e-4762-8d76-f4fef7cd1458 · outbound

This paper cites Stochastic robust team tracking control of multi-UA V networked system under Wiener and Poisson random fluctuations,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Stochastic robust team tracking control of multi-UA V networked system under Wiener and Poisson random fluctuations,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.730177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:52.602214Z digest=sha256:510b660f1e08f2fd76cea0ea87297696bedc24032e3d8db64843f4afaa108755

Observation 1a4e6e60-f187-44d5-96d1-11bc6dab18a1 · outbound

This paper cites On the design of sidelink for cellular V2X: A literature review and outlook for future,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams On the design of sidelink for cellular V2X: A literature review and outlook for future,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.713291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:52.691776Z digest=sha256:0e547224e5f89768b71754fecf08924315e2fb85ba10e37b5bf6b4b94800d368

Observation ac832b37-e1fa-4e09-9ab1-77df8a771ae3 · outbound

This paper cites Towards 6G V2X sidelink: Survey of resource allocation-mathematical formulations, challenges, and proposed solu- tions,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Towards 6G V2X sidelink: Survey of resource allocation-mathematical formulations, challenges, and proposed solu- tions,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.698199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:52.794133Z digest=sha256:ce14e748f96c305fb44223879060d2f787d32b556625aee77d7c644e6264a0c0

Observation 75460755-9066-4489-954d-3f445a85def4 · outbound

This paper cites an unresolved cited work.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:24:54.681849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:52.881409Z digest=sha256:7a8ed77fffcbe91af734fe23bf63873a06335b4570d3d778290771713693aca6

Observation 23f01a05-3d48-400d-911d-a48c3aeac8c0 · outbound

This paper cites The complexity of approximating a nonlinear program,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams The complexity of approximating a nonlinear program,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.667054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:53.007221Z digest=sha256:9a833eb2dca482f8f282ddd4ba0da698a6ad47dfd294127259d5f2519f1ea043

Observation bb1c126d-2bfe-4602-84de-a9896d259ce6 · outbound

This paper cites Chen, Artificial Intelligence in Wireless Robotics.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Chen, Artificial Intelligence in Wireless Robotics

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.652184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:53.114184Z digest=sha256:16990cf5534dfff50a0bc43f81419abeb4e6b101a4ac6575c0787f8826248355

Observation d8ec0d7a-84cc-42de-a404-7b0cf99a8148 · outbound

This paper cites Thrun, W.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Thrun, W

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.636938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:53.177612Z digest=sha256:8ea8dccda36b207d1f8ec5919bd8b75873247a40bbf23cb2d7a4c8b8ea07e3fe

Observation cf30f69a-d342-4e13-be76-86a9abf8ed42 · outbound

This paper cites Categorical reparameterization with Gumbel-Softmax,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Categorical reparameterization with Gumbel-Softmax,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.621900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:53.271838Z digest=sha256:eb3d413abd986be3d33e4ddc6b318e9fade207a11b9888474c322dae4fa4ed7c

Observation 30312b93-9e1b-46b2-90d6-da10148af8ec · outbound

This paper cites Balancing performance and cost for two-hop cooperative communications: Stackelberg game and distributed multi-agent reinforcement learning,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Balancing performance and cost for two-hop cooperative communications: Stackelberg game and distributed multi-agent reinforcement learning,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.607257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:53.446144Z digest=sha256:b902a19720ae631e78b54a29e07d6e61de6a9c42f3b619841b809ba970a1b10e

Observation bb063fe9-6be6-4811-bf1c-0cee0c92091b · outbound

This paper cites A stochastic approximation method,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams A stochastic approximation method,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.592364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:53.580627Z digest=sha256:7ab645f19afdd52b1b8fdf9c5f5d2f5d4335251b92b59f934fce9617726523b7

Observation 3c4ab18f-90ce-4583-8976-856dfaa2f705 · outbound

This paper cites Actor-critic algorithms,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Actor-critic algorithms,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.576337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:53.693555Z digest=sha256:b6504a304a59954f005aec00a200cdeafd5579ff6c0821229445ba69c9d7754b

Observation 4116b363-139f-468d-b746-feae52e6d18c · outbound

This paper cites Multi-agent deep reinforcement learning based spectrum allocation for D2D underlay communications,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Multi-agent deep reinforcement learning based spectrum allocation for D2D underlay communications,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.559687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:53.789747Z digest=sha256:413dd654d34d4f2389942d2a1b1cb6093d6602ff750be8c59c4d1c5e1db45864

Observation 2bd95162-a8f5-4be5-844d-e7a0961dc3cf · outbound

This paper cites EMM: Energy-aware mobility management for mobile edge computing in ultra dense networks,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams EMM: Energy-aware mobility management for mobile edge computing in ultra dense networks,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.543888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:53.845687Z digest=sha256:6c0c94de27c28722920cb94bfeaf029883205f31aae3435515126f3ccf2470fc

Observation 504aeec8-06f1-4b73-9a34-e7f9cdd5f751 · outbound

This paper cites Multiagent DDPG-based deep learning for smart ocean federated learning IoT networks,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Multiagent DDPG-based deep learning for smart ocean federated learning IoT networks,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.527373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:54.013123Z digest=sha256:b16c9609636862481811e5403431484067a4adde89efe303edc22c8bba414dc0

Observation 3c73e8e0-a80e-498a-8187-b1edd0ccd205 · outbound

This paper cites Asynchronous Methods for Deep Reinforcement Learning.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Asynchronous Methods for Deep Reinforcement Learning

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:54.163892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:54.163892Z digest=sha256:80fcb1c70305316f96e22b30be749bca9df34e50b627117da117662af556fa56

Observation 9bb69375-e41b-49dc-a86c-483be4b048f2 · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor,.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.510354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:54.282784Z digest=sha256:ac02a27d4ca19e643b5a194084f54afd0a9bae86ec1902c5a7d9b1002c7b2ae2

Observation f82235bf-f777-4fda-855b-4f770dad93e6 · outbound

This paper cites Vaezi, Z.

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Vaezi, Z

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:54.492292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:24:54.383872Z digest=sha256:41dad918e61462a222d8a7a8b81b8b0d4ba4526f299bf6beb7d2f7cdbc672299

Pith citing papers

No inbound Pith citation observations are available.