Paper Citation Record · LEDGER

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence

As of 13 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 2 inbound Pith citation observations for arXiv:2505.20964.

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

pith.paper-citation-record.v1
2505.20964 v1

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:46:59.453953Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:03:51.135405Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:36:12.870955Z

Reference resolution

75 of 75 outbound references displayed

verified exact1
verified fuzzy46
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 27c6f3ae-c693-4a17-84fc-6256613ddd88 · outbound

This paper cites A vision of 6g wireless systems: Applications, trends, technologies, and open research problems,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence A vision of 6g wireless systems: Applications, trends, technologies, and open research problems,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:50.049372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5d52384-19de-47dc-b163-dbbc87be1831 · outbound

This paper cites Kahneman, Thinking, Fast and Slow.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Kahneman, Thinking, Fast and Slow

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:12.015382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 410ffe13-3427-4ddf-a079-840990079166 · outbound

This paper cites A mathematical theory of communication,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence A mathematical theory of communication,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:50.199407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd132517-43f5-4117-a104-fe2108b709e6 · outbound

This paper cites The bandwagon (edtl.),.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence The bandwagon (edtl.),

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:11.710267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3ce3e471-c5a0-42fd-8424-b0a911de27d4 · outbound

This paper cites Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:50.370381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a639304a-dce1-4d43-8a3a-3d7c3ff75f7f · outbound

This paper cites Renè thom: forms, catastrophes and complexity,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Renè thom: forms, catastrophes and complexity,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:11.367058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cb0d5f68-b0cb-45af-8fef-a91f622bd59f · outbound

This paper cites Topological information data analysis,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Topological information data analysis,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:11.101875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9bc956dc-7f7b-453c-a14e-c5cc69954f3e · outbound

This paper cites The homological nature of entropy,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence The homological nature of entropy,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:10.838255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b9b23b5c-613f-48ce-88a4-13521fe34d9d · outbound

This paper cites Semantic information,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Semantic information,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:10.659135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 82e082f3-71a7-41f7-ac2f-8709dcfab5cd · outbound

This paper cites Modal logic,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Modal logic,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:10.389585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9cc83869-effa-426e-9b5a-6b58ae74c233 · outbound

This paper cites Noë, Action in perception.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Noë, Action in perception

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:10.093103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 31ff9647-933b-4011-8efc-4096e2c39eba · outbound

This paper cites Deep Learning: A Critical Appraisal.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Deep Learning: A Critical Appraisal

Reference 12

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Source-reported events for the cited work

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Observation 06cb8832-184f-4be5-a4a9-81dde6890740 · outbound

This paper cites A complexity-based theory of compositionality,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence A complexity-based theory of compositionality,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:09.801143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 48a098de-f3e0-4585-94f6-986c06a37dcd · outbound

This paper cites Geometric signatures of compositionality across a language model’s lifetime,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Geometric signatures of compositionality across a language model’s lifetime,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:09.499939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d16629ea-bc33-43b9-9c81-0e8b8ecd5b28 · outbound

This paper cites Green AI.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Green AI

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:51.047046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d031ebdd-8ab1-44b6-93f6-3b68f2fcceb2 · outbound

This paper cites an unresolved cited work.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:47:09.250326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4a938224-b18a-44a1-97a3-89f3cd60fa90 · outbound

This paper cites Neurosymbolic ai: The 3rd wave,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Neurosymbolic ai: The 3rd wave,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:09.005835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d8648bf1-9b8f-4fa0-8455-48d913e09be2 · outbound

This paper cites Minsky,The Society of Mind.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Minsky,The Society of Mind

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:08.671893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fa9238ac-03f0-44a4-a9e2-762a942a357c · outbound

This paper cites Hawkins, A Thousand Brains: A New Theory of Intelligence.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Hawkins, A Thousand Brains: A New Theory of Intelligence

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:08.402998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 32804920-c891-4410-b609-c963f585d6b6 · outbound

This paper cites A free energy principle for the brain,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence A free energy principle for the brain,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:08.088357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0ed3aca3-f97c-4e00-b015-7ad4c55466a8 · outbound

This paper cites On the principles of parsimony and self-consistency for the emergence of intelligence,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence On the principles of parsimony and self-consistency for the emergence of intelligence,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:07.837485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 782c9e4c-ba9d-4ed5-81bf-d7c3cba85d64 · outbound

This paper cites Human-level concept learning through probabilistic program induction,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Human-level concept learning through probabilistic program induction,

Reference 22

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Source-reported events for the cited work

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Observation b3a536c1-bfad-4033-8c84-50317e549978 · outbound

This paper cites Computational models of analogy,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Computational models of analogy,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:07.658961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5b95d9bd-826e-4902-9520-704e670ed99c · outbound

This paper cites Building machines that learn and think like people,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Building machines that learn and think like people,

Reference 24

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Source-reported events for the cited work

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Observation e730f9d7-75b1-4297-b2f9-83536e54a3c4 · outbound

This paper cites The Consciousness Prior.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence The Consciousness Prior

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:52.504167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b7ef530-7aed-4cab-ab26-d5a3359409ca · outbound

This paper cites World Models.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence World Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:52.676851Z

Source-reported events for the cited work

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Observation 0ed7ee2a-b7a7-464f-9b98-d87a827a8a65 · outbound

This paper cites A path towards autonomous machine intelligence,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence A path towards autonomous machine intelligence,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:07.447579Z

Source-reported events for the cited work

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Observation 10080f90-5bfa-4a1b-8123-10e7540c8be3 · outbound

This paper cites Gflownet foundations,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Gflownet foundations,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:07.215508Z

Source-reported events for the cited work

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Observation 3a0efe5a-aa16-4bb4-a66b-beab198f4837 · outbound

This paper cites Scaling in the service of reasoning & model-based ml,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Scaling in the service of reasoning & model-based ml,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:07.084754Z

Source-reported events for the cited work

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Observation 5e682406-2a12-4772-86cb-9218742c133e · outbound

This paper cites Biological Sequence Design with GFlowNets.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Biological Sequence Design with GFlowNets

Reference 30

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Source-reported events for the cited work

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Observation b916824d-608d-4e63-bbb2-1b698beda87e · outbound

This paper cites Can large language models reason and plan?,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Can large language models reason and plan?,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:06.864912Z

Source-reported events for the cited work

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Observation 18a7ac81-6ffe-46c9-8cb0-69e0e9e92501 · outbound

This paper cites Inverse scaling: When bigger isn’t better,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Inverse scaling: When bigger isn’t better,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:06.658784Z

Source-reported events for the cited work

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Observation a40915e9-b974-4059-b004-574d90cadeae · outbound

This paper cites Measuring compositionality in representation learning,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Measuring compositionality in representation learning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:06.432876Z

Source-reported events for the cited work

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Observation d3d21fd4-9860-42d3-8895-d20faf14cd9b · outbound

This paper cites Emergent Multi-Agent Communication in the Deep Learning Era.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Emergent Multi-Agent Communication in the Deep Learning Era

Reference 34

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Source-reported events for the cited work

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Observation ba412663-e80d-4342-b186-abb87ffbaba6 · outbound

This paper cites Resilient-by-design: A resiliency framework for future wireless networks,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Resilient-by-design: A resiliency framework for future wireless networks,

Reference 35

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Observation c32ed39d-7c08-4714-8632-538d9b0e98ea · outbound

This paper cites An STL-based approach to resilient control for cyber-physical systems,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence An STL-based approach to resilient control for cyber-physical systems,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:54.214622Z

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Observation b515940c-cd33-4c51-ad75-0ce5908a5204 · outbound

This paper cites Semanticandlogicalcommunication-controlcodesignforcorrelateddynamical systems,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Semanticandlogicalcommunication-controlcodesignforcorrelateddynamical systems,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:06.250698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5a66390d-3d84-4aff-86e0-65e5b56c622a · outbound

This paper cites Learning latent wireless dynamics from channel state information,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Learning latent wireless dynamics from channel state information,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:06.017274Z

Source-reported events for the cited work

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Observation 51bab6c0-3ee2-4548-a053-495ec03f7cf5 · outbound

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Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:47:05.770818Z

Source-reported events for the cited work

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Observation d4f6caf7-afca-4ba0-a3df-101dd7ab3b67 · outbound

This paper cites Tackling feature and sample heterogeneity in decentralized multi-task learning: A sheaf-theoretic approach,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Tackling feature and sample heterogeneity in decentralized multi-task learning: A sheaf-theoretic approach,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:05.534393Z

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Observation 92c506e2-92f4-40b7-ab8b-5276cb73cb61 · outbound

This paper cites A mathematical characterization of minimally sufficient robot brains,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence A mathematical characterization of minimally sufficient robot brains,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:05.289199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a50efd90-19a3-41c1-8a2f-146e2ae86b60 · outbound

This paper cites An Internal Model Principle For Robots.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence An Internal Model Principle For Robots

Reference 42

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Source-reported events for the cited work

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Observation cf5edb69-7421-4c1c-93fd-1f5a72736641 · outbound

This paper cites Neuro-symbolic artificial intelligence: The state of the art,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Neuro-symbolic artificial intelligence: The state of the art,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:05.095516Z

Source-reported events for the cited work

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Observation 177211dc-09cb-46e6-834f-eb51c8024ac3 · outbound

This paper cites Neurosymbolic ai: The 3 rd wave,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Neurosymbolic ai: The 3 rd wave,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:04.807427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e395755a-2a2a-4f0d-bdf8-68c26495a69f · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Chain-of-thought prompting elicits reasoning in large language models,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:04.601551Z

Source-reported events for the cited work

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Observation 53f1a3bc-c6b0-496c-b289-8dec061dfcba · outbound

This paper cites PORT: Preference Optimization on Reasoning Traces.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence PORT: Preference Optimization on Reasoning Traces

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:55.630590Z

Source-reported events for the cited work

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Observation 7c4b337b-986f-40f7-b7b7-f420cc68aa97 · outbound

This paper cites From raw data to structural semantics: Trade-offs among distortion, rate, and inference accuracy,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence From raw data to structural semantics: Trade-offs among distortion, rate, and inference accuracy,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:55.778842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af218353-b193-4be3-b7aa-1ea79700667a · outbound

This paper cites Dehaene, Consciousness and the brain: Deciphering how the brain codes our thoughts.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Dehaene, Consciousness and the brain: Deciphering how the brain codes our thoughts

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:04.400451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 42f35b60-7080-429e-b96c-83fc77618520 · outbound

This paper cites Discrete, compositional, and symbolic representations through attractor dynamics.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Discrete, compositional, and symbolic representations through attractor dynamics

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:56.080609Z

Source-reported events for the cited work

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Observation f02e3ca9-8443-4029-bdbd-8da250f55185 · outbound

This paper cites Bayesian structure learning with generative flow networks,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Bayesian structure learning with generative flow networks,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:04.158578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 190dbe88-5fde-4ab4-82f3-9e960e40a9a0 · outbound

This paper cites M. bennis, 6g: The next horizon – from connected people and things to connected intelligence, tuesday 30 march 2021, ieee wcnc, nanjing, china.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence M. bennis, 6g: The next horizon – from connected people and things to connected intelligence, tuesday 30 march 2021, ieee wcnc, nanjing, china

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:03.989196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e1127846-8d6e-4cb6-a3c9-4fdb5bb58946 · outbound

This paper cites an unresolved cited work.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:47:03.750982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a0ab1bc5-fa5b-4d9c-931e-0c1e7203b6b9 · outbound

This paper cites Semantics-native communication via contextual reasoning,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Semantics-native communication via contextual reasoning,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:03.509707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0ba144aa-d4d0-461d-8053-9fa4357a156f · outbound

This paper cites Bayesian inverse contextual reasoning for heterogeneous semantics- native communication,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Bayesian inverse contextual reasoning for heterogeneous semantics- native communication,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:03.355253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2da16c3f-8d8e-4cd8-8ba2-35fd381e48b9 · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Relational inductive biases, deep learning, and graph networks

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:56.991041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7841506-d79f-40a2-be37-2c089c5089b7 · outbound

This paper cites Recurrent world models facilitate policy evolution,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Recurrent world models facilitate policy evolution,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:57.134038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33529c92-d539-4628-82e1-dba0540c7883 · outbound

This paper cites A general reinforcement learning algorithm that masters chess, shogi, and go through self-play,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence A general reinforcement learning algorithm that masters chess, shogi, and go through self-play,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:03.105127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b61c7123-1f52-4b63-8ce2-2d3ac3f344b3 · outbound

This paper cites Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:02.962461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 55128df1-2fb1-45e1-b3c5-32a743020931 · outbound

This paper cites Invariant Risk Minimization.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Invariant Risk Minimization

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:57.650892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 924ce230-80ae-47bf-a5c0-2e09c7dce142 · outbound

This paper cites Pearl, Causality.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Pearl, Causality

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:57.760988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a03c627e-881e-489b-ab74-25871f704924 · outbound

This paper cites Toward causal representation learning,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Toward causal representation learning,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:02.753431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 28c690af-ad37-456a-9e52-644ce69c65b0 · outbound

This paper cites Thinking, Fast and Slow.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Thinking, Fast and Slow

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:02.554563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9a5fb2c1-6bef-40e0-96b0-e13c092c035d · outbound

This paper cites The systems are pattern-based, statistical, and trained on large datasets to respond quickly to familiar inputs.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence The systems are pattern-based, statistical, and trained on large datasets to respond quickly to familiar inputs

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:02.340289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 46541bd4-dffd-496c-8fda-6c218ff3cf46 · outbound

This paper cites an unresolved cited work.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:47:02.152624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fdde0c55-fed0-437a-b263-ef470bb6b821 · outbound

This paper cites However, this approach discards the structural relationships within data, which are the very elements that often carry meaning.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence However, this approach discards the structural relationships within data, which are the very elements that often carry meaning

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:01.921883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bac23628-4c65-412c-a3aa-373be9912789 · outbound

This paper cites • Homology: A method to assign algebraic structures (like groups) to topological spaces, capturing essential features like holes, voids, and connectivity.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence • Homology: A method to assign algebraic structures (like groups) to topological spaces, capturing essential features like holes, voids, and connectivity

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:01.706352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3bde5ace-7c88-4b9d-be5a-56246737ef8b · outbound

This paper cites • Multi-scale Analysis: Capturing structures at different scales allows communication systems to adapt to different levels of detail.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence • Multi-scale Analysis: Capturing structures at different scales allows communication systems to adapt to different levels of detail

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:01.568083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e7da46f9-313e-4789-bfc7-7b22c85a900a · outbound

This paper cites an unresolved cited work.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:47:01.343956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 346e4dcd-3fdb-4030-bd91-e9220070e014 · outbound

This paper cites the cup is on the table.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence the cup is on the table

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:01.193024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e8175584-c85e-4fa3-9dc1-6b4fea64c114 · outbound

This paper cites an unresolved cited work.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:47:01.011226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c00e60a1-8dd9-4142-b823-2a31dadfb4cc · outbound

This paper cites cup,” “table,.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence cup,” “table,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:00.802237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 23763f66-65f9-4391-b3e4-f800169597e7 · outbound

This paper cites an unresolved cited work.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:47:00.617161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ed9d0882-c065-4608-b285-6dddbb89cf84 · outbound

This paper cites an unresolved cited work.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:47:00.416197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3939f9ee-ab1c-48e5-9ea5-7297834f3d74 · outbound

This paper cites This boils down to applying blackbox ML to any communication problem across different OSI layers (e.g., physical and MAC layers).

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence This boils down to applying blackbox ML to any communication problem across different OSI layers (e.g., physical and MAC layers)

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:00.254195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ee85cb50-08c3-4463-ba88-81d262cf4bdb · outbound

This paper cites three cars in left lane, one pedestrian crossing.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence three cars in left lane, one pedestrian crossing

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:00.061255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation dfaf6f68-f7c9-4059-8647-eead8783f52d · inbound

A Theory of Goal-Oriented Medium Access: Protocol Design and Distributed Bandit Learning cites this paper.

A Theory of Goal-Oriented Medium Access: Protocol Design and Distributed Bandit Learning Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T16:03:51.135405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 630414bc-1265-42ae-99b8-cd1ba6cbbab9 · inbound

Distributed Electromagnetic Neural Networks for Task-Oriented Semantic Communications cites this paper.

Distributed Electromagnetic Neural Networks for Task-Oriented Semantic Communications Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:36:12.876207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.