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Paper Citation Record · LEDGER

Cognitive Dark Matter: Measuring What AI Misses

As of 19 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 4 inbound Pith citation observations for arXiv:2603.03414.

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

pith.paper-citation-record.v1
2603.03414 v2

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T02:36:39.867282Z

measured 89 of 89 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T01:53:15.463453Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

85 of 85 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved85
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 303a8f0a-52ca-4b95-bdb1-805ed44bdfdf · outbound

This paper cites Im- ageNet classification with deep convolutional neural networks,.

Cognitive Dark Matter: Measuring What AI Misses Im- ageNet classification with deep convolutional neural networks,

Reference 1

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Observation e513caa1-b04a-4647-87f3-0f104ccf1649 · outbound

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

Cognitive Dark Matter: Measuring What AI Misses A general reinforcement learning algorithm that masters chess, shogi, and go through self-play,

Reference 2

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Observation bd1814ae-ca51-4812-b295-d4dc6026ce9c · outbound

This paper cites Accurate structure prediction of biomolecular interactions with AlphaFold 3,.

Cognitive Dark Matter: Measuring What AI Misses Accurate structure prediction of biomolecular interactions with AlphaFold 3,

Reference 3

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Observation a7bf664d-fb4e-4d74-ac5e-62d74a64ce86 · outbound

This paper cites Language models are Few-Shot learners,.

Cognitive Dark Matter: Measuring What AI Misses Language models are Few-Shot learners,

Reference 4

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Observation af3705e1-c102-4b33-8418-b491d93b73eb · outbound

This paper cites Dynabench: Rethinking benchmarking in NLP,.

Cognitive Dark Matter: Measuring What AI Misses Dynabench: Rethinking benchmarking in NLP,

Reference 5

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Observation eb68f2ca-62ea-461e-b8aa-bb75e2537e0d · outbound

This paper cites Navi- gating the jagged technological frontier: Field exper- imental evidence of the effects of AI on knowledge worker productivity and quality,.

Cognitive Dark Matter: Measuring What AI Misses Navi- gating the jagged technological frontier: Field exper- imental evidence of the effects of AI on knowledge worker productivity and quality,

Reference 6

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Observation b45c4fac-ad51-462a-9899-e0ad83358147 · outbound

This paper cites Measuring AI abil- ity to complete long tasks,.

Cognitive Dark Matter: Measuring What AI Misses Measuring AI abil- ity to complete long tasks,

Reference 7

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Observation 7fafffcb-65d0-4682-a365-eef941917ded · outbound

This paper cites Measuring AI ability to complete long tasks,.

Cognitive Dark Matter: Measuring What AI Misses Measuring AI ability to complete long tasks,

Reference 8

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Observation f2731160-16b3-4811-86e7-5c7625f67c18 · outbound

This paper cites Is there a half-life for the success rates of AI agents?.

Cognitive Dark Matter: Measuring What AI Misses Is there a half-life for the success rates of AI agents?

Reference 9

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Observation 0dd040ad-1319-4515-bba7-11ff9df9e83e · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

Cognitive Dark Matter: Measuring What AI Misses Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 10

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Observation 241dbe7b-d2ff-40ab-bf9a-5f5a87e9f20a · outbound

This paper cites Faith and fate: Limits of trans- formers on compositionality,.

Cognitive Dark Matter: Measuring What AI Misses Faith and fate: Limits of trans- formers on compositionality,

Reference 11

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Observation d90e5489-4646-4d69-919f-e8d473736788 · outbound

This paper cites SSL, JEPA, world models and the future of AI,.

Cognitive Dark Matter: Measuring What AI Misses SSL, JEPA, world models and the future of AI,

Reference 12

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Observation 565e8423-0980-4fef-ae1d-9723d6fb6d54 · outbound

This paper cites The breakdown of vigilance during prolonged visual search,.

Cognitive Dark Matter: Measuring What AI Misses The breakdown of vigilance during prolonged visual search,

Reference 13

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Observation 10964de6-3759-4f5b-a109-5d72b798f59e · outbound

This paper cites Why are some problems hard? evidence from tower of hanoi,.

Cognitive Dark Matter: Measuring What AI Misses Why are some problems hard? evidence from tower of hanoi,

Reference 14

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Observation 91d4d69d-d55e-47fc-a542-4502a69c263f · outbound

This paper cites Intuition in insight and noninsight problem solving,.

Cognitive Dark Matter: Measuring What AI Misses Intuition in insight and noninsight problem solving,

Reference 15

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Observation 7d282aeb-8add-48d8-9a65-4da721554988 · outbound

This paper cites Does incubation enhance problem solving? a meta-analytic review,.

Cognitive Dark Matter: Measuring What AI Misses Does incubation enhance problem solving? a meta-analytic review,

Reference 16

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Observation d6e83d37-e7e6-4b85-bb5f-5b52a9acfdaa · outbound

This paper cites Metacognition and confidence: A review and synthesis,.

Cognitive Dark Matter: Measuring What AI Misses Metacognition and confidence: A review and synthesis,

Reference 17

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Observation 9fb82b85-c729-43dd-b33b-302f7f234b15 · outbound

This paper cites Improve mathematical reasoning in language models by automated process supervision,.

Cognitive Dark Matter: Measuring What AI Misses Improve mathematical reasoning in language models by automated process supervision,

Reference 18

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Observation 4a3eb211-e05e-4f79-a94e-4dbcef7b2cb1 · outbound

This paper cites Newell and H.

Cognitive Dark Matter: Measuring What AI Misses Newell and H

Reference 19

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Observation ebe10712-8a82-4bac-9338-be3d9047812c · outbound

This paper cites an unresolved cited work.

Cognitive Dark Matter: Measuring What AI Misses Unresolved cited work

Reference 20

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Observation 881f4a75-b1fa-430f-a7ca-0d057f0016c8 · outbound

This paper cites Using large-scale exper- iments and machine learning to discover theories of human decision-making,.

Cognitive Dark Matter: Measuring What AI Misses Using large-scale exper- iments and machine learning to discover theories of human decision-making,

Reference 21

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Observation a2c12027-b989-4fc5-be29-4434a4bfc893 · outbound

This paper cites Beyond playing 20 questions with nature: Integrative experiment design in the social and behavioral sciences,.

Cognitive Dark Matter: Measuring What AI Misses Beyond playing 20 questions with nature: Integrative experiment design in the social and behavioral sciences,

Reference 22

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Observation d61bf944-4039-49b6-a65a-1fb612278a84 · outbound

This paper cites Advances and challenges in foun- dation agents: From brain-inspired intelligence to evolutionary, collaborative, and safe systems,.

Cognitive Dark Matter: Measuring What AI Misses Advances and challenges in foun- dation agents: From brain-inspired intelligence to evolutionary, collaborative, and safe systems,

Reference 23

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Observation baa8a671-e9f2-4e8b-9dd1-6ff6c11c7296 · outbound

This paper cites Eye movement monitoring as a process tracing methodology in deci- sion making research,.

Cognitive Dark Matter: Measuring What AI Misses Eye movement monitoring as a process tracing methodology in deci- sion making research,

Reference 24

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Observation 65888307-e0f8-4416-b321-bd5b2db2583c · outbound

This paper cites Mouse tracking as a window into decision making,.

Cognitive Dark Matter: Measuring What AI Misses Mouse tracking as a window into decision making,

Reference 25

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Observation 3c0cc761-d7d8-4db6-b5cb-578be65bdad7 · outbound

This paper cites Aligning machine and human visual representations across abstraction levels,.

Cognitive Dark Matter: Measuring What AI Misses Aligning machine and human visual representations across abstraction levels,

Reference 26

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Observation c887b917-5584-4395-9a76-aa3c5fd433a0 · outbound

This paper cites Schulte-Mecklenbeck, A.

Cognitive Dark Matter: Measuring What AI Misses Schulte-Mecklenbeck, A

Reference 27

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Observation 3803dc0f-23e1-4e94-93c3-f281be4e2427 · outbound

This paper cites Improving semantic understanding in speech language models via brain-tuning,.

Cognitive Dark Matter: Measuring What AI Misses Improving semantic understanding in speech language models via brain-tuning,

Reference 28

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Observation 175b69f5-723b-4e17-93ba-eca021c35530 · outbound

This paper cites BrainWavLM: Fine-tuning speech rep- resentations with brain responses to language,.

Cognitive Dark Matter: Measuring What AI Misses BrainWavLM: Fine-tuning speech rep- resentations with brain responses to language,

Reference 29

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Observation ecd53bbb-1093-4229-a76a-ef7677618b50 · outbound

This paper cites The one where they brain-tune for social cognition: Multi- modal brain-tuning on friends,.

Cognitive Dark Matter: Measuring What AI Misses The one where they brain-tune for social cognition: Multi- modal brain-tuning on friends,

Reference 30

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Observation 4f2535c5-f5ce-45ea-8916-37c6a98991c4 · outbound

This paper cites Learning from brains how to regularize machines,.

Cognitive Dark Matter: Measuring What AI Misses Learning from brains how to regularize machines,

Reference 31

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Observation 3f54e466-7794-4ff3-914a-839c04fc84f8 · outbound

This paper cites Simulating a primary vi- sual cortex at the front of CNNs improves robustness to image perturbations,.

Cognitive Dark Matter: Measuring What AI Misses Simulating a primary vi- sual cortex at the front of CNNs improves robustness to image perturbations,

Reference 32

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Observation da3e1b2c-a9f2-4105-9a04-6f7b3ea6d3a0 · outbound

This paper cites Towards robust vision by multi-task learning on mon- key visual cortex,.

Cognitive Dark Matter: Measuring What AI Misses Towards robust vision by multi-task learning on mon- key visual cortex,

Reference 33

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Cognitive Dark Matter: Measuring What AI Misses Aligning model and macaque inferior temporal cortex representations improves model-to-human behavioral alignment and adversarial robustness,

Reference 34

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Observation 3635e0c1-4b03-41ed-93a6-079254d1c23d · outbound

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Cognitive Dark Matter: Measuring What AI Misses Using human brain activity to guide machine learning,

Reference 35

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Observation 1880eca2-048d-432d-9e26-135ee9809379 · outbound

This paper cites NeuroQuery, comprehensive meta-analysis of human brain mapping,.

Cognitive Dark Matter: Measuring What AI Misses NeuroQuery, comprehensive meta-analysis of human brain mapping,

Reference 36

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Observation f88a003c-7a7d-4c57-8831-e01817bac2b6 · outbound

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Cognitive Dark Matter: Measuring What AI Misses Gemini 3 pro: Model evalua- tion – approach, methodology and results,

Reference 37

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Observation 24943af7-0685-4b7a-a05a-d9f59e6bb8e5 · outbound

This paper cites System card: Claude opus 4.5,.

Cognitive Dark Matter: Measuring What AI Misses System card: Claude opus 4.5,

Reference 38

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Observation 727435cb-3a7f-4e20-95ff-fc7e318f6b02 · outbound

This paper cites Introducing GPT-5.2,.

Cognitive Dark Matter: Measuring What AI Misses Introducing GPT-5.2,

Reference 39

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Observation 91722e67-dc39-4c76-a21e-719d949c9672 · outbound

This paper cites GPT-4 technical report,.

Cognitive Dark Matter: Measuring What AI Misses GPT-4 technical report,

Reference 40

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Observation 951363cb-7db3-43e2-9bbd-394f031c72a3 · outbound

This paper cites ARC-AGI-2: A new challenge for fron- tier AI reasoning systems,.

Cognitive Dark Matter: Measuring What AI Misses ARC-AGI-2: A new challenge for fron- tier AI reasoning systems,

Reference 41

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source=pdf_text observed=2026-08-03T02:36:35.083676Z digest=sha256:66453ccf000bab0e962baa9794b7ac4e32cfa17e61f74d1c25f8f8f6b508d975

Observation 9294b555-86b0-4fc0-9f6c-448807c6b6f8 · outbound

This paper cites τ 2-bench: Evaluating conversational agents in a dual- control environment,.

Cognitive Dark Matter: Measuring What AI Misses τ 2-bench: Evaluating conversational agents in a dual- control environment,

Reference 42

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source=pdf_text observed=2026-08-03T02:36:35.161197Z digest=sha256:66937623f78d1d45bc28ba7cab2f180cab2da87422e3670c9f8bc92192ced5ee

Observation a9ce7e96-c157-48d2-b335-3edb56888282 · outbound

This paper cites Using games to understand the mind,.

Cognitive Dark Matter: Measuring What AI Misses Using games to understand the mind,

Reference 43

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source=pdf_text observed=2026-08-03T02:36:35.232426Z digest=sha256:97b61bc7b80d31bc644249ed59953795e237450f98761837a6851abf9de0d1c9

Observation 0cf2dd75-7fac-4caf-89b7-3855a845022c · outbound

This paper cites Principles of intensive human neuroimaging,.

Cognitive Dark Matter: Measuring What AI Misses Principles of intensive human neuroimaging,

Reference 44

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source=pdf_text observed=2026-08-03T02:36:35.365740Z digest=sha256:8a5351d81261efadab5ca944f9ce2a1a9ffa3f7747e19b78c127f05154778855

Observation f4c77f45-96c3-421e-940a-54b9b56e0f6d · outbound

This paper cites Large-scale neural recordings with single neuron resolution using neuropixels probes in human cortex,.

Cognitive Dark Matter: Measuring What AI Misses Large-scale neural recordings with single neuron resolution using neuropixels probes in human cortex,

Reference 45

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source=pdf_text observed=2026-08-03T02:36:35.511452Z digest=sha256:5118b02d9669c9aab91aaea38996f086013809b942eb44179d281a3354d2e5fe

Observation aeb7ab3c-b1ed-47a4-b6bf-079b90290932 · outbound

This paper cites AJILE12: Long- term naturalistic human intracranial neural record- ings and pose,.

Cognitive Dark Matter: Measuring What AI Misses AJILE12: Long- term naturalistic human intracranial neural record- ings and pose,

Reference 46

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source=pdf_text observed=2026-08-03T02:36:35.620535Z digest=sha256:ac6a60ac4d0618ca611fc6bb8881b8e97beb0a99b0597111c925493c8f9b75c5

Observation 01166f24-bc2c-40ac-b072-252a9930bcd8 · outbound

This paper cites Resource-rational anal- ysis: Understanding human cognition as the optimal use of limited computational resources,.

Cognitive Dark Matter: Measuring What AI Misses Resource-rational anal- ysis: Understanding human cognition as the optimal use of limited computational resources,

Reference 47

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source=pdf_text observed=2026-08-03T02:36:35.734929Z digest=sha256:822b104163f296a1dfe68669a7111e3cd1a10f454e442f620ba86ad015a417c5

Observation 56ed877a-62c7-4fdb-ae40-9ef4fcb519a2 · outbound

This paper cites Self-evaluation of decision-making: A general bayesian framework for metacognitive computation,.

Cognitive Dark Matter: Measuring What AI Misses Self-evaluation of decision-making: A general bayesian framework for metacognitive computation,

Reference 48

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source=pdf_text observed=2026-08-03T02:36:35.867943Z digest=sha256:7d04884a81378de4854cf20f0d3bf0773988e71092e2e77b9b9d052d05c85b34

Observation 7f452b48-eee8-473a-bdc6-a9ddbd955066 · outbound

This paper cites Meta-reasoning: Monitoring and control of thinking and reasoning,.

Cognitive Dark Matter: Measuring What AI Misses Meta-reasoning: Monitoring and control of thinking and reasoning,

Reference 49

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source=pdf_text observed=2026-08-03T02:36:36.010162Z digest=sha256:2e88569a6ec4bc4bf806d588992e4f1a6ebe1e6d8a076a650680079d62cc7622

Observation c58670ab-61e6-4eed-a75a-08498f81fb27 · outbound

This paper cites Strategy selection as rational metareasoning,.

Cognitive Dark Matter: Measuring What AI Misses Strategy selection as rational metareasoning,

Reference 50

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source=pdf_text observed=2026-08-03T02:36:36.127307Z digest=sha256:4b1c4191e74a4d722804aa8d1878a52acbef62188377c33bf15fbfe31abc2088

Observation 7d19cf7a-22a7-4d80-8dc8-0114c330819e · outbound

This paper cites The trouble with overconfidence,.

Cognitive Dark Matter: Measuring What AI Misses The trouble with overconfidence,

Reference 51

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source=pdf_text observed=2026-08-03T02:36:36.297209Z digest=sha256:3b4cc377d2ce731c9e08fac223da628e217084c977478ce71b33c31068ba8c35

Observation 48d6c4bd-0279-4ce6-af08-5b77af3c78dd · outbound

This paper cites Can LLMs express their uncertainty? an empirical evaluation of confidence elicitation in LLMs,.

Cognitive Dark Matter: Measuring What AI Misses Can LLMs express their uncertainty? an empirical evaluation of confidence elicitation in LLMs,

Reference 52

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source=pdf_text observed=2026-08-03T02:36:36.471464Z digest=sha256:da88e20a4aeea012b6455bfc9429c5754e855bb1ff4e4df80f319cb2fc21589e

Observation 36d50f59-42e0-4a2f-a399-43ce14430565 · outbound

This paper cites Why language models hallucinate,.

Cognitive Dark Matter: Measuring What AI Misses Why language models hallucinate,

Reference 53

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source=pdf_text observed=2026-08-03T02:36:36.585698Z digest=sha256:f22a81abab937b85e2f021e21c6c0f85bb680f303fe9a2cad14c904bbab18ac3

Observation 3ace6008-7687-4df9-9a4b-79b9987fafc9 · outbound

This paper cites Stroop color and word test,.

Cognitive Dark Matter: Measuring What AI Misses Stroop color and word test,

Reference 54

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source=pdf_text observed=2026-08-03T02:36:36.667872Z digest=sha256:8f2905e7d7164abb921c2f751fbee555897b0ab88a998caace8814ddbe2fd8bf

Observation f2801378-7cd4-451b-a312-7d9759e34355 · outbound

This paper cites Prefrontal cortex lesions disrupt the contextual control of response conflict,.

Cognitive Dark Matter: Measuring What AI Misses Prefrontal cortex lesions disrupt the contextual control of response conflict,

Reference 55

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source=pdf_text observed=2026-08-03T02:36:36.802500Z digest=sha256:bc8e04fb3dcb4293564feefdf871d8c5a71cbcbb86b84e23b8add569afb20284

Observation f3ac39d7-be88-4061-a372-6509e392d4bf · outbound

This paper cites Stroop-like effects for monkeys and humans: processing speed or strength of association?.

Cognitive Dark Matter: Measuring What AI Misses Stroop-like effects for monkeys and humans: processing speed or strength of association?

Reference 56

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source=pdf_text observed=2026-08-03T02:36:36.926660Z digest=sha256:add3d8b650909e363c2da7e5bfbd27ef076e06224271204abb3c2db1be745598

Observation 5c09a0dd-ec96-4d53-b48d-aebcaa975911 · outbound

This paper cites A definition of AGI,.

Cognitive Dark Matter: Measuring What AI Misses A definition of AGI,

Reference 57

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source=pdf_text observed=2026-08-03T02:36:37.057185Z digest=sha256:1a0e65668db0880b4470a4821ba2e55406814fabf15ec4b98fa38aedd68e70a0

Observation 67a7cb39-4d21-44aa-a579-59a75621acbf · outbound

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

Cognitive Dark Matter: Measuring What AI Misses Human-level concept learning through probabilistic program induction,

Reference 58

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source=pdf_text observed=2026-08-03T02:36:37.176041Z digest=sha256:db96a6250501e0b6964dd03a0dddebbf6a2e8b1d310c72768a02dec99347a9e2

Observation 49f739b0-084f-4cf4-8e24-035d7f20186e · outbound

This paper cites The reversal curse: LLMs trained on “a is b.

Cognitive Dark Matter: Measuring What AI Misses The reversal curse: LLMs trained on “a is b

Reference 59

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source=pdf_text observed=2026-08-03T02:36:37.300848Z digest=sha256:4a6f433da1256bb266f60e0ce53ce2b60ee07a7cc9aacbfb269b9fbcdd7f16b3

Observation 7f98625e-a813-48da-8cb8-e0636324108b · outbound

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

Cognitive Dark Matter: Measuring What AI Misses Chain- of-thought prompting elicits reasoning in large lan- guage models,

Reference 60

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source=pdf_text observed=2026-08-03T02:36:37.426435Z digest=sha256:59ac999828e36823d06ce59fdc19f8ccbe64733ff986c693b8588615d66160a2

Observation deb59fd3-4712-41f8-b3ae-6cd2e665d34c · outbound

This paper cites Bayes in the age of intelligent machines,.

Cognitive Dark Matter: Measuring What AI Misses Bayes in the age of intelligent machines,

Reference 61

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source=pdf_text observed=2026-08-03T02:36:37.570834Z digest=sha256:7eb0d7cd173c2767a6abc104bb79d970f2f8dd8477f0da999acd3cdbaa117c70

Observation 8e2e06a9-9f7a-4f90-9423-4e3f0fb0e3ef · outbound

This paper cites An explanation of in-context learning as implicit bayesian inference,.

Cognitive Dark Matter: Measuring What AI Misses An explanation of in-context learning as implicit bayesian inference,

Reference 62

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source=pdf_text observed=2026-08-03T02:36:37.714447Z digest=sha256:64b57f1530d8131c22d97fb1254c424c749570971f8b39c79a76035a971499ba

Observation d0582a35-5f45-45e4-9c8b-775e5c531a92 · outbound

This paper cites Walton,Abductive Reasoning.

Cognitive Dark Matter: Measuring What AI Misses Walton,Abductive Reasoning

Reference 63

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source=pdf_text observed=2026-08-03T02:36:37.876232Z digest=sha256:f65bdcf0c7c88da6fc168eaa127541da697357cf6884346c0ac1edce63af40e3

Observation 27b58417-1de0-4fc6-8e98-1c224dea2e4b · outbound

This paper cites Intuitive physics,.

Cognitive Dark Matter: Measuring What AI Misses Intuitive physics,

Reference 64

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source=pdf_text observed=2026-08-03T02:36:37.988392Z digest=sha256:86c1bc2619600a79cedd498311bf7bd7a920f9f3d5b2684fd99c08fb132caac0

Observation 81c9f394-9ec3-4c35-a619-6a1dd4eabd7e · outbound

This paper cites Theory- of-mind deficits and causal attributions,.

Cognitive Dark Matter: Measuring What AI Misses Theory- of-mind deficits and causal attributions,

Reference 65

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source=pdf_text observed=2026-08-03T02:36:38.129060Z digest=sha256:40fb3d6f545cbb25759addc1571e592f6df96b6b4316b58bc98c800c0912c0b5

Observation 1ceb148d-06dd-42cf-a174-a82c47b3d0e0 · outbound

This paper cites Evaluating the world model implicit in a generative model,.

Cognitive Dark Matter: Measuring What AI Misses Evaluating the world model implicit in a generative model,

Reference 66

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source=pdf_text observed=2026-08-03T02:36:38.270987Z digest=sha256:20bffbc09581307772b061e46bee1c7af78d41a4d0fb6eefa4998556c0858e37

Observation 1596140a-2c2c-478f-ad88-cd4887edaa58 · outbound

This paper cites Measuring emo- tional intelligence with the Mayer-Salovery-Caruso emotional intelligence test (MSCEIT),.

Cognitive Dark Matter: Measuring What AI Misses Measuring emo- tional intelligence with the Mayer-Salovery-Caruso emotional intelligence test (MSCEIT),

Reference 67

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source=pdf_text observed=2026-08-03T02:36:38.379067Z digest=sha256:b7e7aff5d7b46a7e3a2945592662c508bac304c3d530c9c561b11268f1846a6d

Observation 4a082786-aac6-442a-9f4a-97602caab44c · outbound

This paper cites Emotion and decision making,.

Cognitive Dark Matter: Measuring What AI Misses Emotion and decision making,

Reference 68

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source=pdf_text observed=2026-08-03T02:36:38.553702Z digest=sha256:0a6e4677efed0054fced9b9404472fc244e5016741b6c9ad98916d922081e588

Observation 8515d81d-be81-4b22-b647-1378f1c317e8 · outbound

This paper cites The role of affect in decision making,.

Cognitive Dark Matter: Measuring What AI Misses The role of affect in decision making,

Reference 69

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source=pdf_text observed=2026-08-03T02:36:38.656394Z digest=sha256:42f5aeff1a7e3a0313626857364b903ff9122d2e4cb3ec2c11c0a3a90a17ddf4

Observation 2a110c89-b03e-4ca8-887f-52aa628647b1 · outbound

This paper cites The theory of constructed emotion: an active inference account of interoception and cate- gorization,.

Cognitive Dark Matter: Measuring What AI Misses The theory of constructed emotion: an active inference account of interoception and cate- gorization,

Reference 70

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source=pdf_text observed=2026-08-03T02:36:38.729039Z digest=sha256:02e258a1a4b0c8d1e5b43f09058248c291edb95ad661bdf5d883cea05dc72560

Observation fa653232-65ac-4a79-9f8e-2ee96c1e2640 · outbound

This paper cites an unresolved cited work.

Cognitive Dark Matter: Measuring What AI Misses Unresolved cited work

Reference 71

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source=pdf_text observed=2026-08-03T02:36:38.787776Z digest=sha256:93b4b52fc0e915597e0ae3289533174eb66bd5a9d4a958ac71e9bf6b15ec928a

Observation a73dd7dd-7b2b-4c14-a1a9-08afd4e5ef57 · outbound

This paper cites The social neuroscience of empathy,.

Cognitive Dark Matter: Measuring What AI Misses The social neuroscience of empathy,

Reference 72

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source=pdf_text observed=2026-08-03T02:36:38.861796Z digest=sha256:adaea3c145ea582e21bda042485ff5143a87f817daa096bdab7bd936d6abfe8b

Observation 85eb2983-3d38-40d8-853e-99b1e11b9d69 · outbound

This paper cites Crawford,Atlas of AI: Power, politics, and the planetary costs of artificial intelligence.

Cognitive Dark Matter: Measuring What AI Misses Crawford,Atlas of AI: Power, politics, and the planetary costs of artificial intelligence

Reference 73

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source=pdf_text observed=2026-08-03T02:36:38.917065Z digest=sha256:4fcbe2890198773d7e5361a8f45787dfe20d44576f7f5f5f3d71698cc50d848d

Observation 51f44c5f-5c8d-4d5f-a762-402149b8913f · outbound

This paper cites On the morality of artificial agents,.

Cognitive Dark Matter: Measuring What AI Misses On the morality of artificial agents,

Reference 74

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source=pdf_text observed=2026-08-03T02:36:38.995276Z digest=sha256:7a5aa9d620240aef2a6a5401350201fe9b315ffbe5ad178851474c7332db007d

Observation d1e13f6d-265e-47b3-9de3-4cebffb28cdc · outbound

This paper cites A teen was suicidal. ChatGPT was the friend he confided in,.

Cognitive Dark Matter: Measuring What AI Misses A teen was suicidal. ChatGPT was the friend he confided in,

Reference 75

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source=pdf_text observed=2026-08-03T02:36:39.073731Z digest=sha256:e57882b65b829de1b1d679f7896a014818b9eaf7660e95fc4a8fbba8f4ba07ed

Observation ac46966c-c410-4cc3-a677-fd61f2e1a012 · outbound

This paper cites How a chatbot encouraged a man who wanted to kill the queen,.

Cognitive Dark Matter: Measuring What AI Misses How a chatbot encouraged a man who wanted to kill the queen,

Reference 76

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source=pdf_text observed=2026-08-03T02:36:39.161949Z digest=sha256:ac44c3c86f674c0f3bdac630027f4c44f993b9b14976a7870558f9c609d6a3af

Observation 5e614d35-530f-482d-b70a-5274d475f762 · outbound

This paper cites A massive 7T fMRI dataset to bridge cognitive neu- roscience and artificial intelligence,.

Cognitive Dark Matter: Measuring What AI Misses A massive 7T fMRI dataset to bridge cognitive neu- roscience and artificial intelligence,

Reference 77

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source=pdf_text observed=2026-08-03T02:36:39.263104Z digest=sha256:918caa4b17de460fab55b404a7a2000145494e9e2945d8645d0b3520be29ebf3

Observation a5e8f509-b0e9-4b71-869f-639822349984 · outbound

This paper cites A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex,.

Cognitive Dark Matter: Measuring What AI Misses A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex,

Reference 78

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source=pdf_text observed=2026-08-03T02:36:39.346712Z digest=sha256:9f3bb8b0b3f0b5d53f9711abff387bec6b2c187fa1e8ffa10b4a6df55b5fa070

Observation b0652cce-62a4-450e-958a-7a6e69060f1d · outbound

This paper cites Brain-wide representations of prior infor- mation in mouse decision-making,.

Cognitive Dark Matter: Measuring What AI Misses Brain-wide representations of prior infor- mation in mouse decision-making,

Reference 79

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Observation 7ae8fc8f-1f3c-4b78-aee7-51b72dd5297c · outbound

This paper cites Time spent think- ing in online chess reflects the value of computation,.

Cognitive Dark Matter: Measuring What AI Misses Time spent think- ing in online chess reflects the value of computation,

Reference 80

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Observation 2d7dd202-6b3c-4ffb-97f4-cb2e9116377d · outbound

This paper cites Ex- plaining world-wide variation in navigation ability from millions of people: Citizen science project sea hero quest,.

Cognitive Dark Matter: Measuring What AI Misses Ex- plaining world-wide variation in navigation ability from millions of people: Citizen science project sea hero quest,

Reference 81

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Observation b3e684f5-8a45-4222-83b0-3a78c8be14a2 · outbound

This paper cites No Press Diplomacy: Modeling Multi-Agent Gameplay.

Cognitive Dark Matter: Measuring What AI Misses No Press Diplomacy: Modeling Multi-Agent Gameplay

Reference 82

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Observation d257d619-70c4-4eb4-b6b4-c8357be07331 · outbound

This paper cites ImageNet large scale visual recognition challenge,.

Cognitive Dark Matter: Measuring What AI Misses ImageNet large scale visual recognition challenge,

Reference 83

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Observation 63e5e672-0447-4011-8af8-0a44025027e5 · outbound

This paper cites Quantitative models reveal the organization of diverse cognitive functions in the brain,.

Cognitive Dark Matter: Measuring What AI Misses Quantitative models reveal the organization of diverse cognitive functions in the brain,

Reference 84

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Observation 09634470-1e12-4579-83f6-fd3a124ac3e2 · outbound

This paper cites Spacetop: A multi- modal fMRI dataset unifying naturalistic processes with a rich array of experimental tasks,.

Cognitive Dark Matter: Measuring What AI Misses Spacetop: A multi- modal fMRI dataset unifying naturalistic processes with a rich array of experimental tasks,

Reference 85

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Pith citing papers

Observation b9ed458f-64a0-418d-9f1f-8e7d0ffd7a44 · inbound

Hypothesis generation and updating in large language models cites this paper.

Hypothesis generation and updating in large language models Cognitive Dark Matter: Measuring What AI Misses

Reference 70

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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.

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Observation eec1a8ca-471e-4c44-8b93-4286306ba6f5 · inbound

Process Matters more than Output for Distinguishing Humans from Machines cites this paper.

Process Matters more than Output for Distinguishing Humans from Machines Cognitive Dark Matter: Measuring What AI Misses

Reference 33

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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.

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Observation 51e0a1c0-612e-4478-8050-401b2caf9086 · inbound

Process Matters more than Output for Distinguishing Humans from Machines cites this paper.

Process Matters more than Output for Distinguishing Humans from Machines Cognitive Dark Matter: Measuring What AI Misses

Reference 33

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verified exact
arxiv_id, observed 2026-08-03T03:15:37.660537Z

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.

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Observation 149e3452-37ca-4888-9360-6aeb5287da29 · inbound

Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners cites this paper.

Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners Cognitive Dark Matter: Measuring What AI Misses

Reference 20

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arxiv_id, observed 2026-08-03T03:15:37.660537Z

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.

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