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Paper Citation Record · LEDGER

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need

As of 7 August 2026, this Paper Citation Record lists 100 of 139 outbound references and 4 inbound Pith citation observations for arXiv:2507.13966.

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

pith.paper-citation-record.v1
2507.13966 v2

Coverage vector

measured 100 of 139 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:17:43.642357Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:12:26.224850Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T11:44:38.709551Z

Reference resolution

100 of 139 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved95
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 60d472aa-c3dc-4899-acc5-050d67be4016 · outbound

This paper cites Hello GPT-4o, 2024.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Hello GPT-4o, 2024

Reference 1

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source=pdf_text observed=2026-08-06T16:17:41.109731Z digest=sha256:6211a1233633c2da5899b34e50c0566dd291960bf2e0888dd5978f6ad86606e2

Observation d403c4e9-a76a-4dd9-b0ee-68b8d1e23683 · outbound

This paper cites Introducing Claude 4.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Introducing Claude 4

Reference 2

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source=pdf_text observed=2026-08-06T16:17:41.115480Z digest=sha256:8ad3ced07b90fedf3268b74d0ef8c1e1f6e228531c310cd0750c8b27c324d5e0

Observation 809e6fba-0c79-4f0c-9e99-80245f912e23 · outbound

This paper cites OLMo: Accelerating the Science of Language Models.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need OLMo: Accelerating the Science of Language Models

Reference 3

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source=pdf_text observed=2026-08-06T16:17:41.119830Z digest=sha256:0ae0a572b760418f524b7b68b3da6c001f87309700b6f32a89204d536dee11c6

Observation 808549ba-dfb2-4c57-aac4-7f9471bc168e · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 4

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source=pdf_text observed=2026-08-06T16:17:41.124808Z digest=sha256:158bc393bcd63f5a5b6c3445cf1a3bf4ed3ac69ba2b77b33f9b091ad6d6c9cdc

Observation e5ec3b71-a1f7-42f3-a718-91890590ab27 · outbound

This paper cites DeepSeek-V3 Technical Report.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need DeepSeek-V3 Technical Report

Reference 5

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source=pdf_text observed=2026-08-06T16:17:41.129545Z digest=sha256:8846481dafb25b1b9db39e35f416cb31cd5e3d38c43b21c5baccd36076e374c6

Observation 20bc372d-02b8-4725-8feb-141c347c4b43 · outbound

This paper cites Mixtral of Experts.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Mixtral of Experts

Reference 6

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source=pdf_text observed=2026-08-06T16:17:41.134553Z digest=sha256:30b396ce370bd0f5fd3c63524df63732cbeec66f90fe321b03e181b2ee1427b1

Observation 0ebcfec5-f278-4feb-9cb6-77d4b58b0949 · outbound

This paper cites Qwen3 Technical Report.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Qwen3 Technical Report

Reference 7

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source=pdf_text observed=2026-08-06T16:17:41.140474Z digest=sha256:637f413849525d7399d9a9bca4d66fbe0be11e26bbadfca37d137a09180a9aca

Observation c8282d0a-962c-49b8-a87b-88940c1475cb · outbound

This paper cites The Llama 4 Herd: The Beginning of a New Era of Natively Multi- modal AI Innovation.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need The Llama 4 Herd: The Beginning of a New Era of Natively Multi- modal AI Innovation

Reference 8

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source=pdf_text observed=2026-08-06T16:17:41.145004Z digest=sha256:c66131959a6a090ce0add3bd3a381c2c130d16773d0ce8065491719bcc61b8f8

Observation c9d94212-fec4-45a5-9ea7-31473a23b886 · outbound

This paper cites Cognitive Architectures for Language Agents.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Cognitive Architectures for Language Agents

Reference 9

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source=pdf_text observed=2026-08-06T16:17:41.149300Z digest=sha256:3f5a780ffba98fb4dd04b4eb8b7c27537000272eef767f9d03bf5473ab46d960

Observation a0df34d6-4587-4907-b614-5e08d250a5d7 · outbound

This paper cites Generative Agents: Interactive Simulacra of Human Behavior.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Generative Agents: Interactive Simulacra of Human Behavior

Reference 10

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source=pdf_text observed=2026-08-06T16:17:41.154030Z digest=sha256:0fe8c2a2226000302f04a6f5d3ab0654adc4aebbeace67300208091ef156075d

Observation 415478e9-2321-4baa-a582-e8ca2803a7f2 · outbound

This paper cites Claude Code: Deep Coding at Terminal Velocity.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Claude Code: Deep Coding at Terminal Velocity

Reference 11

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source=pdf_text observed=2026-08-06T16:17:41.158251Z digest=sha256:d1b88188b4c7043bd94a56d9251df9734b682e082dbab386ffc22a57222a2942

Observation 26449896-30ac-4f6d-b1c4-d719654f49fe · outbound

This paper cites Introducing Codex.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Introducing Codex

Reference 12

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source=pdf_text observed=2026-08-06T16:17:41.166662Z digest=sha256:409cbcd9bc60ff86f3856812fa8d603707d3d28cb53ee1c1573327715a4094cc

Observation d47af7bd-fd49-40df-8484-9d8caad2cf0f · outbound

This paper cites Introducing Deep Research.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Introducing Deep Research

Reference 13

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source=pdf_text observed=2026-08-06T16:17:41.171331Z digest=sha256:a5e2da30bd8fb524b2398fed13fb8976e4fbbab21744337455f86511e5b58de0

Observation 3153c95b-6670-49cd-9af3-7e2d1970aa49 · outbound

This paper cites Gemini Deep Research: Your Personal Research Assistant.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Gemini Deep Research: Your Personal Research Assistant

Reference 14

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source=pdf_text observed=2026-08-06T16:17:41.175755Z digest=sha256:2a335c66622b5b7b027b658f75fb358a9767e59828a152aebe0fe0727718e05a

Observation c583414d-7e4e-485c-b7d6-2dba7ccb1fa4 · outbound

This paper cites Superintelligence: Paths, Dangers, Strategies.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Superintelligence: Paths, Dangers, Strategies

Reference 15

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source=pdf_text observed=2026-08-06T16:17:41.179985Z digest=sha256:d5c4d5528d94c082c2fd84bd8b3d531a49fcb136b46876d9cf3eb950b50c0995

Observation 2fd19fc2-204b-4eb9-909e-f3e47ac33181 · outbound

This paper cites Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision

Reference 16

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source=pdf_text observed=2026-08-06T16:17:41.184115Z digest=sha256:e0726c2bfc09c9835022c4427a9e30cf40e90768aa479c4bb2909524b3927006

Observation babab834-58b4-476e-a5c7-c7bdf4b62d22 · outbound

This paper cites Highly Accurate Protein Structure Prediction with AlphaFold.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Highly Accurate Protein Structure Prediction with AlphaFold

Reference 17

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source=pdf_text observed=2026-08-06T16:17:41.188752Z digest=sha256:5884aae8f599fa67cedf2dde6e34803cc99f0202425251df87c1b855ef3c1fde

Observation 31131d3b-3f4f-49bc-8b67-b68167a27f0b · outbound

This paper cites Mankowitz, Andrea Michi, Anton Zhernov, Marco Gelmi, and Marco Selvi.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Mankowitz, Andrea Michi, Anton Zhernov, Marco Gelmi, and Marco Selvi

Reference 18

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source=pdf_text observed=2026-08-06T16:17:41.192950Z digest=sha256:827fe9a3d8dca3b31ea7424e66ecc8300dbd274eabf07c6a778363578a14c3bc

Observation c0a33c4a-f954-4a7f-865e-4109fa6388c2 · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 19

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source=pdf_text observed=2026-08-06T16:17:41.197204Z digest=sha256:b84aa264c859c47c0fa5ec23d649419f392970fd69e66f6b332180602b69ad6a

Observation 2ea608df-9db2-47af-8f90-d5fbeec6b6c5 · outbound

This paper cites AlphaGenome: AI for Better Understanding the Genome.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need AlphaGenome: AI for Better Understanding the Genome

Reference 20

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source=pdf_text observed=2026-08-06T16:17:41.201889Z digest=sha256:f7871f9b33dc6ae717324a852fd56490fca9cb3d0468199886fd718c03577e5a

Observation 485b7507-d5e3-4326-8656-c418b228021f · outbound

This paper cites Towards an AI co-scientist.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Towards an AI co-scientist

Reference 21

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source=pdf_text observed=2026-08-06T16:17:41.206167Z digest=sha256:7695b8735a50dd47568f78488fca4c0ea50628bc203b7a24ad67f6ec562482f5

Observation bdcb45fd-bc5c-45ae-a24a-55ac54f30237 · outbound

This paper cites Schoenholz, Muratahan Aykol, Gowoon Cheon, Ekin Dogus Cubuk, et al.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Schoenholz, Muratahan Aykol, Gowoon Cheon, Ekin Dogus Cubuk, et al

Reference 22

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source=pdf_text observed=2026-08-06T16:17:41.210528Z digest=sha256:de356907bc1c8add9691fc8288e7f8af156472c4c6521c4b377ea027b249384d

Observation 6e104c32-a3b9-493f-b787-a448d94ffe8b · outbound

This paper cites Durrant, Jerome Ku, Michael Poli, Greg Brockman, Daniel Chang, Gabriel A.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Durrant, Jerome Ku, Michael Poli, Greg Brockman, Daniel Chang, Gabriel A

Reference 23

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no resolver link, observed 2026-08-06T16:17:41.214690Z

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source=pdf_text observed=2026-08-06T16:17:41.214690Z digest=sha256:affef0be9a8d13c91ad7087bb1eb25bad1a0410e5644327d5cd7fb53ba47c304

Observation e3b53a28-8a51-4527-8d8a-4b1d4f0a2899 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Training Compute-Optimal Large Language Models

Reference 24

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source=pdf_text observed=2026-08-06T16:17:41.219061Z digest=sha256:600dd6b7f2f705440ef8e394c791c7ddb32b857581f82d9b2e3a9e2d2a8870d1

Observation f1ed2cbd-efab-47de-ac7f-bd0b41004c8d · outbound

This paper cites Language Models are Few-Shot Learners.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Language Models are Few-Shot Learners

Reference 25

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source=pdf_text observed=2026-08-06T16:17:41.223817Z digest=sha256:4c2fd492b6aac35bf5b48fddb94e7687d5ebdae1e82f7af11b45beeb51a6fda0

Observation db84f609-2054-4dec-a4bb-3666526985ef · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 26

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source=pdf_text observed=2026-08-06T16:17:41.229985Z digest=sha256:f8fea8802e175d45f0bd67437e2025e9c7b6b39bb8dbefa0eb683b128233f0a5

Observation 9f94c12d-c8fe-48d6-bdac-2c5f449b04d8 · outbound

This paper cites Interpretable Contrastive Monte Carlo Tree Search Reasoning.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Interpretable Contrastive Monte Carlo Tree Search Reasoning

Reference 27

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source=pdf_text observed=2026-08-06T16:17:41.235276Z digest=sha256:6c846279a172a4ba7722d46178e116d551ec3c98252d9edfde97935c9ce29e3f

Observation f4e283be-a2a4-40e1-8c43-d53f0e9a5fe3 · outbound

This paper cites s1: Simple test-time scaling.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need s1: Simple test-time scaling

Reference 28

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source=pdf_text observed=2026-08-06T16:17:41.240552Z digest=sha256:1d505cf05caf68fba42d87709f431680d5e1199a5d9824850721984cc708c523

Observation b9d01210-f6a6-4a0c-a78c-cb1e72ffc579 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 29

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source=pdf_text observed=2026-08-06T16:17:41.244847Z digest=sha256:918a09635dd0a5c8d317713015e39d6292f09ebd81a88fd0e66c6416711ef617

Observation 148fdb15-5dae-4095-b7df-3c3f37b10270 · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 30

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source=pdf_text observed=2026-08-06T16:17:41.249260Z digest=sha256:ba4426de6727ae9e03b87a9d8eb957fccb6d59dae9084c414f42af3416cf6693

Observation 38261320-6911-447b-bfb9-12bb303ef166 · outbound

This paper cites Emergent Abilities of Large Language Models.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Emergent Abilities of Large Language Models

Reference 31

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source=pdf_text observed=2026-08-06T16:17:41.253676Z digest=sha256:09dde4ae25f5b20798ababa13325bc00f3a5246fc84e7053d2c65b64ad871007

Observation f2f400b3-2837-4189-a5ce-668effef067e · outbound

This paper cites Are Emergent Abilities of Large Language Models a Mirage?.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Are Emergent Abilities of Large Language Models a Mirage?

Reference 32

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source=pdf_text observed=2026-08-06T16:17:41.258568Z digest=sha256:244e1e9927a52a34321d839edd3ca4ba9aa74bad9d65ddd958459f5029908a4f

Observation d704166e-0686-4521-88d8-4c0cbb6345ed · outbound

This paper cites Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting

Reference 33

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source=pdf_text observed=2026-08-06T16:17:41.263158Z digest=sha256:6837b3546ebfa7a429c795d5fdd3deeab579b45c79db7441438bc2bf82064cd3

Observation 5c67e761-1f4e-45f8-b811-9a54c4d75257 · outbound

This paper cites What Can Transformers Learn In-Context? A Case Study of Simple Function Classes.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 34

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source=pdf_text observed=2026-08-06T16:17:41.267606Z digest=sha256:903fa64e86365ba1007e38566f71fb7714d701aef8e23c3e8717e805257e2f7c

Observation 408d8166-faee-46de-9b6c-9ba257f56abc · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Lost in the Middle: How Language Models Use Long Contexts

Reference 35

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source=pdf_text observed=2026-08-06T16:17:41.272105Z digest=sha256:95ce8c41ad3140f04b2427f94739b85acd19686a331ece5423bb1715466a2275

Observation 9ae33452-3424-450d-828d-01aac9f462c2 · outbound

This paper cites Safety Alignment Should Be Made More Than Just a Few Tokens Deep.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Safety Alignment Should Be Made More Than Just a Few Tokens Deep

Reference 36

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source=pdf_text observed=2026-08-06T16:17:41.276241Z digest=sha256:cdd45da833c25362e84c0b232005324b9525771380e98160b8e3bd706f6dca9a

Observation 395a9f8a-5c1d-461c-a515-b08ccc6347c7 · outbound

This paper cites ARC-AGI-2: A New Challenge for Frontier AI Reasoning Systems.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need ARC-AGI-2: A New Challenge for Frontier AI Reasoning Systems

Reference 37

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source=pdf_text observed=2026-08-06T16:17:41.281266Z digest=sha256:e583a4f33192ada34088db97aff796bddfb9529f9bb90c488477256685de2903

Observation 1e71a387-e5f3-4a1b-9bda-b9fa0820e19f · outbound

This paper cites The Origin of Concepts.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need The Origin of Concepts

Reference 38

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Observation b12c641f-dab6-404f-bd38-410470133a5b · outbound

This paper cites Tenenbaum, Charles Kemp, Thomas L.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Tenenbaum, Charles Kemp, Thomas L

Reference 39

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source=pdf_text observed=2026-08-06T16:17:41.290701Z digest=sha256:d19b0dacfd865b8a75d66f5d7d669a9b57982828dc406d3949b0034395423014

Observation 4beee7a9-c611-4da5-93a3-b396c365b688 · outbound

This paper cites Building Machines That Learn and Think Like People.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Building Machines That Learn and Think Like People

Reference 40

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source=pdf_text observed=2026-08-06T16:17:41.294931Z digest=sha256:8c5eab3e16d7e9d972a093b3d9665d56d170778431392892061ea61b3e4d44f7

Observation d71f4d38-7c3f-44e2-b577-5dd941210ddd · outbound

This paper cites DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning

Reference 41

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source=pdf_text observed=2026-08-06T16:17:41.299186Z digest=sha256:28da6b065b38cc1659b783e2c4de701fce3b8b6391cca82e57dcc2fd7811f40f

Observation 45c4f16b-acea-480d-8954-a8eeeac1f478 · outbound

This paper cites Efficient Probabilistic Logic Reasoning with Graph Neural Networks.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Efficient Probabilistic Logic Reasoning with Graph Neural Networks

Reference 42

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source=pdf_text observed=2026-08-06T16:17:41.303604Z digest=sha256:082ebd78e1a99aaed0107ad60c4ebc8187bffc9a5a91ae656de66b3596576998

Observation 09ed9df4-25b4-44d6-8a10-d2e5a879fc62 · outbound

This paper cites an unresolved cited work.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Unresolved cited work

Reference 43

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source=pdf_text observed=2026-08-06T16:17:41.308708Z digest=sha256:a3ce89a378d503f1e39ae4d1f73da5bbaf2c41d1fb7a2d25680a3c3bdbe09306

Observation 84433131-c46c-4bed-b78f-7d94c8f8ec5d · outbound

This paper cites The Unified Medical Language System (UMLS): Integrating Biomedical Terminology.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need The Unified Medical Language System (UMLS): Integrating Biomedical Terminology

Reference 44

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source=pdf_text observed=2026-08-06T16:17:41.313354Z digest=sha256:0f5bbc44880e782be73fae3c0f73f4efa3f52b8cd43f540a0da2fbbdb364c772

Observation d23739ce-038a-4656-9cd4-0fd5ff0a631a · outbound

This paper cites QA- GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need QA- GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering

Reference 45

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source=pdf_text observed=2026-08-06T16:17:41.317693Z digest=sha256:23d93bfb43bfbfcf274e074306983314a872ad4434af391b0d65e38bd8d5f6e0

Observation fff02550-bb61-4c57-b70d-7dbf20c6d6b8 · outbound

This paper cites International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10).

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10)

Reference 46

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source=pdf_text observed=2026-08-06T16:17:41.321581Z digest=sha256:7814222fa0ff868d31b0b6ca5724d4ef25719d80908e71f3bfca6e5038101b27

Observation 7d6cd609-4905-4922-9b4f-1b1984c8a825 · outbound

This paper cites DBpedia: A Nucleus for a Web of Open Data.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need DBpedia: A Nucleus for a Web of Open Data

Reference 47

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source=pdf_text observed=2026-08-06T16:17:41.325722Z digest=sha256:1c1ebf2307dac705e9b2c23a52bfd7a88ac9eff70fe5984c5847a779ebbd6d3e

Observation b6766bfb-da7d-449a-b7e9-c141f5c2df7d · outbound

This paper cites Introducing the Knowledge Graph: Things, Not Strings, 2012.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Introducing the Knowledge Graph: Things, Not Strings, 2012

Reference 48

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source=pdf_text observed=2026-08-06T16:17:41.330488Z digest=sha256:0a38364ee69a5a2dd24c432b9d2df1be783a985488379afa578ad84f5d73c00b

Observation d0d0ab8f-e0c3-4240-97d0-cef49ad9a8e4 · outbound

This paper cites Rindflesch.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Rindflesch

Reference 49

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source=pdf_text observed=2026-08-06T16:17:41.335016Z digest=sha256:156569ff7d88738eb95a02e14cb4796b1e37248d3b8258edc51e67f46e8456c4

Observation 19b5e468-9cb6-463f-8ac6-087888dd228f · outbound

This paper cites Chen, Dexter Hadley, Ari Green, Pouya Khankhanian, and Sergio E.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Chen, Dexter Hadley, Ari Green, Pouya Khankhanian, and Sergio E

Reference 50

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source=pdf_text observed=2026-08-06T16:17:41.339430Z digest=sha256:6785642cd8b39e50dada9dbb292a9f2c9e56aef50339e4255052d8d5de59cf0a

Observation aec51c7b-ed93-4b0e-9484-84dee9bc75ed · outbound

This paper cites Wishart, Yannick D.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Wishart, Yannick D

Reference 51

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source=pdf_text observed=2026-08-06T16:17:41.343633Z digest=sha256:d5c9ad6cb283ad70650f94bbb2d47ac3c7039c34e16d78f2a4665045e71e6a3c

Observation 1873ade7-14df-49d5-a9ed-c39eaea0a696 · outbound

This paper cites Gemini 2.5 Flash Model Card, 2025.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Gemini 2.5 Flash Model Card, 2025

Reference 52

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source=pdf_text observed=2026-08-06T16:17:41.347792Z digest=sha256:1f6f50d124dddecfb35aa4bec8c341ccccffa7f13229c037c6b5544bd459335e

Observation 500bb040-fbbc-4bd1-937f-8cd5dd6757cb · outbound

This paper cites Gemini 2.5 Pro Model Card, 2025.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Gemini 2.5 Pro Model Card, 2025

Reference 53

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source=pdf_text observed=2026-08-06T16:17:41.351772Z digest=sha256:da820752cdb1cdc52ea414462298b53ae4b053771a74d4630d938258cb66aea5

Observation 7ad62d70-b03f-4d7b-89a5-50c226e44fa0 · outbound

This paper cites Qwen2.5 Technical Report.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Qwen2.5 Technical Report

Reference 54

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source=pdf_text observed=2026-08-06T16:17:41.356083Z digest=sha256:0116c821d60a7b62e4dcb365f799efc570e8b6d598641eb966be06cbc260e8a2

Observation c3718a83-834d-44d3-be75-3cfec893ce5e · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 55

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source=pdf_text observed=2026-08-06T16:17:41.360823Z digest=sha256:15ffab69f460af1324d5d691cc37dcb7b9059206b0145259139da38e5b1d4687

Observation c8b59435-69c5-4532-9562-c9146a5ddc93 · outbound

This paper cites QwQ-32B: Embracing the Power of Reinforcement Learning, 2025.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need QwQ-32B: Embracing the Power of Reinforcement Learning, 2025

Reference 56

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source=pdf_text observed=2026-08-06T16:17:41.366424Z digest=sha256:33eb6e4469b3bd779d48e5b57de58ebd3f7cf4a2b170147199a3f8f8d624afc5

Observation aeb61969-929a-483a-b560-3e299319fba8 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need LoRA: Low-Rank Adaptation of Large Language Models

Reference 57

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source=pdf_text observed=2026-08-06T16:17:41.371924Z digest=sha256:4ee468ea7387622d60ea33ef2797dcec28b48e7a1f42c4e1710208e2705c2417

Observation d721f6a4-8019-4d12-b8a6-95b7d127bc0b · outbound

This paper cites Introducing OpenAI o3 and o4-mini, 2025.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Introducing OpenAI o3 and o4-mini, 2025

Reference 58

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source=pdf_text observed=2026-08-06T16:17:41.377278Z digest=sha256:4d2b793cee03003bc1c92a3cfb1d8041f417f1f0f0b510dcae20c97730d69fe3

Observation 8a9ff7ce-8817-4559-9336-bfc99f0217d6 · outbound

This paper cites Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks

Reference 59

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source=pdf_text observed=2026-08-06T16:17:41.381626Z digest=sha256:aa068b550fbee7bc331d146279ec325e005bfcca3959bf7475711f219b29ee89

Observation c8c17416-676c-41d2-846a-89d271c87fd2 · outbound

This paper cites MedGemma Model Card | Health AI Developer Foundations | Google for Develop- ers, 2025.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need MedGemma Model Card | Health AI Developer Foundations | Google for Develop- ers, 2025

Reference 60

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source=pdf_text observed=2026-08-06T16:17:41.385776Z digest=sha256:ece6aa0218747ad5b884a4b457cbd6d5a2f4bce169b9a00d23388e520fdef401

Observation 3f31cad2-27da-40e9-8a3e-eb1c4c33b86d · outbound

This paper cites Sky-T1: Fully Open-Source Reasoning Model with o1-Preview Performance in $450 Budget, 2025.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Sky-T1: Fully Open-Source Reasoning Model with o1-Preview Performance in $450 Budget, 2025

Reference 61

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source=pdf_text observed=2026-08-06T16:17:41.406231Z digest=sha256:1c677c8abfd14a8a69e46e58a42a5f32a281cd3ca9adeae745e60fe98ba95e7e

Observation 1eed84cd-cc25-4f3a-b7d8-f5344a188aec · outbound

This paper cites What Disease Does This Patient Have? A Large-Scale Open Domain Question Answering Dataset from Medical Exams.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need What Disease Does This Patient Have? A Large-Scale Open Domain Question Answering Dataset from Medical Exams

Reference 62

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source=pdf_text observed=2026-08-06T16:17:41.434923Z digest=sha256:6b91e3ecaa4bd11cac4562b9b785f059fc7a7442de6ed504dc1a538c858a4363

Observation 9be80d0b-07f9-428f-afda-ebbcfaf17f20 · outbound

This paper cites MedMCQA : A Large- Scale Multi-Subject Multi-Choice Dataset for Medical Domain Question Answering.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need MedMCQA : A Large- Scale Multi-Subject Multi-Choice Dataset for Medical Domain Question Answering

Reference 63

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source=pdf_text observed=2026-08-06T16:17:41.469741Z digest=sha256:65a9f595f2539835f9b9fc94af084af028d1bc0fd0f1458f6a2bc37a60ea5c3b

Observation 24d78a28-d69b-408f-8518-d3595e1bda89 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Measuring Massive Multitask Language Understanding

Reference 64

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source=pdf_text observed=2026-08-06T16:17:41.507060Z digest=sha256:c1517a9bfffa98781a6d2d9c2e46eaf32e0df47b6ce13b7db59d5e8ceaf2e96b

Observation b767ae7e-583b-4e66-b5ae-998bad6028fd · outbound

This paper cites PubMedQA: A Dataset for Biomedical Research Question Answering.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need PubMedQA: A Dataset for Biomedical Research Question Answering

Reference 65

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source=pdf_text observed=2026-08-06T16:17:41.562803Z digest=sha256:553e93432259a63f0c6435806046fb6fe65da8cb05038eca5a3dd2f5cb50c98a

Observation 343f7b8a-0f47-48cc-a7ea-b84176a34a89 · outbound

This paper cites Benchmarking Reasoning Robustness in Large Language Models.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Benchmarking Reasoning Robustness in Large Language Models

Reference 66

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source=pdf_text observed=2026-08-06T16:17:41.606874Z digest=sha256:05c168511f8a1f04ecf8040b4e76134e08fec5cb4434269586cc10bd6f441935

Observation 52359923-fd43-4128-89fa-214101c18d15 · outbound

This paper cites Longwell, Ian Hirsch, Fernando Binder, Galileo Arturo Gonzalez Conchas, Daniel Mau, Raymond Jang, Rahul G.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Longwell, Ian Hirsch, Fernando Binder, Galileo Arturo Gonzalez Conchas, Daniel Mau, Raymond Jang, Rahul G

Reference 67

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source=pdf_text observed=2026-08-06T16:17:41.643731Z digest=sha256:c0aefeb63c19b136b3973c50587924afbfbcd1b9e6cbe1d3404e79de6ffe64e3

Observation 9e7c3a91-35c0-40e9-9667-51653ded1053 · outbound

This paper cites KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA

Reference 68

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source=pdf_text observed=2026-08-06T16:17:41.677094Z digest=sha256:78419a5ffe1c66481343edc02835f61c2d3678b740d2ed55822d2fb5bc8a0061

Observation 9dc3352f-e32b-4289-858a-59cd452805ea · outbound

This paper cites Patterson, Matthew M.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Patterson, Matthew M

Reference 69

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source=pdf_text observed=2026-08-06T16:17:41.704248Z digest=sha256:bef914544143d9fc1bdb58666e61b73b7a319c8aa30a23a552c6f4ce942fdd90

Observation 02caa930-2285-4eac-8964-787825440861 · outbound

This paper cites Selective UMLS Knowledge Infusion for Biomedical Question Answering.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Selective UMLS Knowledge Infusion for Biomedical Question Answering

Reference 70

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source=pdf_text observed=2026-08-06T16:17:41.719952Z digest=sha256:710eac0f76215576320126b56bc3f48d317b106b4b786bafa5676c7660f64448

Observation c5bb2b06-3166-4d75-a326-6604a6cdc631 · outbound

This paper cites AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments

Reference 71

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source=pdf_text observed=2026-08-06T16:17:41.738528Z digest=sha256:c4f5a85b25e7e997cb6a11c9b94a278382e29444b2d7bbae4691a0fd9954493a

Observation 228ad727-2f72-431d-96d2-40bab0998b8b · outbound

This paper cites an unresolved cited work.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Unresolved cited work

Reference 72

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source=pdf_text observed=2026-08-06T16:17:41.757045Z digest=sha256:c325d12ad1b23a49c8146ab7898b73f99cc8d1a89a72eb6dd8bdd47508b62a65

Observation 36bfa780-3432-4390-9327-f68e0b90dc6c · outbound

This paper cites Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering

Reference 73

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source=pdf_text observed=2026-08-06T16:17:41.778397Z digest=sha256:1e88645af29e0564dd368be361826c7347ae0eecb57722e0e96e654bcdc745f1

Observation 3f2baecf-3189-416a-9115-1e325b68306c · outbound

This paper cites Dual Reasoning: A GNN-LLM Collaborative Framework for Knowledge Graph Question Answering.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Dual Reasoning: A GNN-LLM Collaborative Framework for Knowledge Graph Question Answering

Reference 74

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source=pdf_text observed=2026-08-06T16:17:41.809430Z digest=sha256:4f6a6b1400682a20004816ea847b120b93513c20173f53dbe047e0d96828775b

Observation 708f1ac3-6c99-46d6-9018-abe614a41a75 · outbound

This paper cites A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal

Reference 75

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source=pdf_text observed=2026-08-06T16:17:41.831748Z digest=sha256:00448456c26a425de065b600e991483a1df7447503e04120c3fccedcbb63fe26

Observation cf7f3de5-ac27-4bb0-a0bd-b3b42044c673 · outbound

This paper cites AlpaCare:Instruction-tuned Large Language Models for Medical Application.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need AlpaCare:Instruction-tuned Large Language Models for Medical Application

Reference 76

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source=pdf_text observed=2026-08-06T16:17:41.850697Z digest=sha256:2717cbe320f9b845246e6ac54b3f21cafa15f42d5ae75badae226c13f00072dd

Observation 299eb3df-ab52-49bd-a9a1-3ea9fa47d946 · outbound

This paper cites Smith, Daniel Khashabi, and Hannaneh Hajishirzi.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Smith, Daniel Khashabi, and Hannaneh Hajishirzi

Reference 77

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source=pdf_text observed=2026-08-06T16:17:41.870206Z digest=sha256:f1efb39dd8577df7208ca31506eaf0fb6ad8bfe455ab8b069ddd7a84601a78fd

Observation 46f1b054-8a83-4ed3-8268-10b2be3eec20 · outbound

This paper cites HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Reference 78

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source=pdf_text observed=2026-08-06T16:17:41.893051Z digest=sha256:5b11264fb249091e84436d753f9fa500b655257930ffbf81269dda732e9ff24e

Observation 3b228041-e6d1-427d-b1d8-d72a55a8fa39 · outbound

This paper cites How to Design, Create, and Evaluate an Instruction-Tuning Dataset for Large Language Model Training in Health Care: Tutorial From a Clinical Perspective.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need How to Design, Create, and Evaluate an Instruction-Tuning Dataset for Large Language Model Training in Health Care: Tutorial From a Clinical Perspective

Reference 79

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source=pdf_text observed=2026-08-06T16:17:41.914979Z digest=sha256:672577f2fb744a2289bb8e4542f445a9f7d26ccda30590e415d2a52247ec8077

Observation e25d72ea-265a-459f-8fe5-9051306f7b12 · outbound

This paper cites KG-QAGen: A Knowledge-Graph-Based Framework for Systematic Question Generation and Long-Context LLM Evaluation.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need KG-QAGen: A Knowledge-Graph-Based Framework for Systematic Question Generation and Long-Context LLM Evaluation

Reference 80

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raw_fallback, observed 2026-08-06T16:17:47.974899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T16:17:42.017482Z digest=sha256:cbb1448071bedb854467f13e82722adf67c11c122c8ffa7a37edb193fb4edd1b

Observation bf9c440b-7e07-4b3c-995d-b7e0a1ff0927 · outbound

This paper cites Curriculum Learning.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Curriculum Learning

Reference 81

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source=pdf_text observed=2026-08-06T16:17:42.121978Z digest=sha256:ba6a601a8fe948677845f01e1ec555d2af817a62dd61e6f412aab8e35c84d7c9

Observation e70fc8f1-fab8-4294-9dc4-b14052d41adb · outbound

This paper cites Curriculum Learning: A Survey.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Curriculum Learning: A Survey

Reference 82

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source=pdf_text observed=2026-08-06T16:17:42.222975Z digest=sha256:8a32c6e08e252abc8584e37258eebb96f16e9f2e84825cb673040a45e2dee234

Observation 0459df19-0e4d-437f-86df-340dcaaba760 · outbound

This paper cites Curriculum Learning: Theories, Approaches, Applications, Tools, and Future Directions in the Era of Large Language Models.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Curriculum Learning: Theories, Approaches, Applications, Tools, and Future Directions in the Era of Large Language Models

Reference 83

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source=pdf_text observed=2026-08-06T16:17:42.315041Z digest=sha256:552b715f38cd16a6c7045a7b46e0d74af86066caa9678df430f6abc40c1618b3

Observation c5c5172d-f4f9-4cba-a63c-fc89d155ca83 · outbound

This paper cites Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning

Reference 84

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T16:17:42.408116Z digest=sha256:5568c17f26b84e8c95bad7e8af4dac070ac52c4cbb77994b3a25eb3afb3809a0

Observation 1ddbd2ae-5d37-4e4a-a103-e4a1357e8290 · outbound

This paper cites Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models

Reference 85

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local_arxiv, observed 2026-08-06T16:17:47.634448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T16:17:42.532463Z digest=sha256:0dd0907ea25e11a2a4e9c699901e33b188758b2689279c8ff13b7aaa4407337c

Observation 33da6239-f19a-4d70-8677-09c1f26c3769 · outbound

This paper cites LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs

Reference 86

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source=pdf_text observed=2026-08-06T16:17:42.606542Z digest=sha256:2d61bbb7dcd5e7ea97e480fb31721be17d46634a7fe9ce502ef301dfda1215f2

Observation dd6feb12-bbba-4bef-a5bc-813227719212 · outbound

This paper cites Can an Easy-to-Hard Curriculum Make Reasoning Emerge in Small Language Models? Evidence from a Four-Stage Curriculum on GPT-2.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Can an Easy-to-Hard Curriculum Make Reasoning Emerge in Small Language Models? Evidence from a Four-Stage Curriculum on GPT-2

Reference 87

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local_arxiv, observed 2026-08-06T16:17:47.485766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T16:17:42.693259Z digest=sha256:e577ec9908dd2dbf5e476c7a6397616c05a32eb43148c6aa7c46c3d45585503b

Observation ab651607-4378-40ee-8418-bb4a3a0ca1e7 · outbound

This paper cites Curriculum Learning for Small Code Language Models.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Curriculum Learning for Small Code Language Models

Reference 88

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local_arxiv, observed 2026-08-06T16:17:47.330820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T16:17:42.766893Z digest=sha256:750ebda232ca403104a9db9c3da6dc240664d41b77b15e6aed039b5fe90744b3

Observation 14ea29d2-ebf9-4a93-86ae-c63c3f001253 · outbound

This paper cites Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving

Reference 89

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source=pdf_text observed=2026-08-06T16:17:42.830614Z digest=sha256:2194ea7cdbb937ff2a1d85f724ebdcb548c8366906bf14cf00aa30c755570d07

Observation 972495fc-162d-4ff2-bd0a-9276c88e20b7 · outbound

This paper cites Trinh, Miroslav Olšák, Xiaomeng Yang, Hoang Nguyen, Marcelo Menegali, Junehyuk Jung, Vikas Verma, Quoc V.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Trinh, Miroslav Olšák, Xiaomeng Yang, Hoang Nguyen, Marcelo Menegali, Junehyuk Jung, Vikas Verma, Quoc V

Reference 90

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source=pdf_text observed=2026-08-06T16:17:42.911898Z digest=sha256:e78c7f6b9ccf7844625dc15fdc62da2a8d919951b8c1178343c3b88d8d547f2b

Observation 061e31b1-ba24-4b77-b94f-eef42f8dd929 · outbound

This paper cites Toward Scientific Reasoning in LLMs: Training from Expert Discussions via Reinforcement Learning.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Toward Scientific Reasoning in LLMs: Training from Expert Discussions via Reinforcement Learning

Reference 91

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source=pdf_text observed=2026-08-06T16:17:42.986386Z digest=sha256:ea7ac6145e60359aada2dc0622dbb13b1fc1a84ca45ffa303ccf68b880db510b

Observation 5468e308-bcc6-4515-8258-05aa1c0a1120 · outbound

This paper cites Will we run out of data? Limits of LLM scaling based on human-generated data.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 92

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source=pdf_text observed=2026-08-06T16:17:43.060987Z digest=sha256:4298328bd45f60655b330a8a193e71155f83f6b065939a963ee8cc6411fb4a63

Observation ebc7bbf3-6f09-4ace-824a-c6df0e0ef52d · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 93

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source=pdf_text observed=2026-08-06T16:17:43.153925Z digest=sha256:9af65b9da7d9f0d5614ff7893d4142bd9434ade33b540d834cf7de0ba4e6f1b4

Observation 92dd4ef0-d2f0-4a50-83bd-109d3573a848 · outbound

This paper cites Generative AI’s Crippling and Widespread Inability to Reason.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Generative AI’s Crippling and Widespread Inability to Reason

Reference 94

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source=pdf_text observed=2026-08-06T16:17:43.248344Z digest=sha256:621abfa8f3d5193f8b4271e5a0ca93730216f287dbfc55b25ece009775752d6f

Observation 92f0a813-e742-4fc0-84a0-ff51079b2408 · outbound

This paper cites AI 2027: We Predict That the Impact of Superhuman AI Over the Next Decade Will Be Enormous, Exceeding That of the Industrial Revolution, Apr.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need AI 2027: We Predict That the Impact of Superhuman AI Over the Next Decade Will Be Enormous, Exceeding That of the Industrial Revolution, Apr

Reference 95

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source=pdf_text observed=2026-08-06T16:17:43.307011Z digest=sha256:db001bc54988557c31e87e517dfebdd92524a5c5afea559e50b295133618a530

Observation d2ff502a-eb07-4959-9884-d8fa069662c4 · outbound

This paper cites Society of Mind.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Society of Mind

Reference 96

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source=pdf_text observed=2026-08-06T16:17:43.391064Z digest=sha256:c10f24c9a1b27ce77c7b54f02ea3f4fb4aeb654e11ae6cd8f033f33b71afd53a

Observation eeafb1a5-1a35-4bb6-99c3-e9c2a02ae370 · outbound

This paper cites Let's Verify Step by Step.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Let's Verify Step by Step

Reference 97

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:17:43.441507Z digest=sha256:48558c7ea440db69bc13a8c4601ed1855f7616432bc25502904e67eec667489f

Observation 831304a9-a95a-4fbc-8061-dfcca0b6d0b9 · outbound

This paper cites The Path to Medical Superintelligence, 2025.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need The Path to Medical Superintelligence, 2025

Reference 98

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no resolver link, observed 2026-08-06T16:17:43.539719Z

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source=pdf_text observed=2026-08-06T16:17:43.539719Z digest=sha256:e5a06902223d268f04114309bb4286827feb4c650412b797c0e8b46bbea19314

Observation fb99996f-53b8-4e63-bf2f-5e40351d8160 · outbound

This paper cites Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards

Reference 99

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no resolver link, observed 2026-08-06T16:17:43.569732Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:17:43.569732Z digest=sha256:0cd08136a255a270e19690521962d5ebb0c2ce7e9d0cf08dc8ed7bdeccfd31d4

Observation 2eb8c480-3c2e-4282-95f4-f0264d0d0e14 · outbound

This paper cites Capabilities of GPT-4 on Medical Challenge Problems.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Capabilities of GPT-4 on Medical Challenge Problems

Reference 100

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source=pdf_text observed=2026-08-06T16:17:43.642357Z digest=sha256:d0416c5c8f60539f235620f091fd1627d0286a5161b6fea2da47947ae859754f

Pith citing papers

Observation 6575998c-2f04-4d6b-a8dd-d6f20a80d4e6 · inbound

Structured In-context Environment Scaling for Large Language Model Reasoning cites this paper.

Structured In-context Environment Scaling for Large Language Model Reasoning Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need

Reference 5

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arxiv_id, observed 2026-05-18T12:26:22.362624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T12:23:15.257737Z digest=sha256:91846b0917b08759992c9b1387584c8166feda7478783bb300cd2de651c85353

Observation 59bca160-7a46-462a-9f98-2407c32d5783 · inbound

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents cites this paper.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need

Reference 163

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no resolver link, observed 2026-08-04T08:12:26.224850Z

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source=pdf_text observed=2026-08-04T08:12:26.224850Z digest=sha256:6ccb874fca412bb1408ab92395d5fd9a03656aeff5023af4c8dcb8a5461a1197

Observation 65141491-16ff-4eda-b575-b2b53e037d81 · inbound

MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs cites this paper.

MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need

Reference 13

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arxiv_id, observed 2026-05-15T22:56:50.394080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T22:52:30.992054Z digest=sha256:bea8a02c5d70327482dead118241540be0a155237ffcb434a490475f3996e13f

Observation fda6aa4e-2ee3-41c2-bcb4-5631cc64913c · inbound

Knowledge Graph-Driven Expert-Level Reasoning for Neuroscience cites this paper.

Knowledge Graph-Driven Expert-Level Reasoning for Neuroscience Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need

Reference 11

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arxiv_id, observed 2026-06-30T11:44:38.711131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T11:36:03.804989Z digest=sha256:844b8f111e8d6ccde8e7ac367bd28263f86edb6cac956b0f19a547729fe0213f