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Paper Citation Record · LEDGER

On the Evaluation of Engineering Artificial General Intelligence

As of 20 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 2 inbound Pith citation observations for arXiv:2505.10653.

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

pith.paper-citation-record.v1
2505.10653 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:10:33.709806Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:07:11.608227Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:05:57.639366Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy28
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 36a2d00c-f90c-4e0d-a698-f74e2309a0fa · outbound

This paper cites From novice to expert : Excellence and power in clinical nursing practice.

On the Evaluation of Engineering Artificial General Intelligence From novice to expert : Excellence and power in clinical nursing practice

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6109cab0-7d21-4ca2-9f11-95ff85dc900c · outbound

This paper cites Expert teachers: Their characteristi cs, development and accomplishments.

On the Evaluation of Engineering Artificial General Intelligence Expert teachers: Their characteristi cs, development and accomplishments

Reference 2

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Observation 001dfc19-1dc6-4bec-a204-eea83c7147b3 · outbound

This paper cites Taxonomy of.

On the Evaluation of Engineering Artificial General Intelligence Taxonomy of

Reference 3

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f5e9aa6c-28bc-40a8-83df-fb254b3d2d76 · outbound

This paper cites Lexglue: A benchm ark dataset for legal nlp tasks.

On the Evaluation of Engineering Artificial General Intelligence Lexglue: A benchm ark dataset for legal nlp tasks

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 14d42198-476b-4ef0-9864-f63babfff8a8 · outbound

This paper cites ARC Prize 2024: Technical Report.

On the Evaluation of Engineering Artificial General Intelligence ARC Prize 2024: Technical Report

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:33.558396Z digest=sha256:82f4c9abdf15f91c01783b657a1d25f5ea84274f9a494f712b07a6c18b09cab3

Observation 6d517b5b-45e0-4785-b951-c1b09af005c8 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

On the Evaluation of Engineering Artificial General Intelligence Training Verifiers to Solve Math Word Problems

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:33.562992Z digest=sha256:68125b4d03c99077cae785af58b2fbd68dc455da980a13f13bc5b7da2c7f60f4

Observation aea1b460-5d59-4199-829b-aef97538e30d · outbound

This paper cites Devin, 2024.

On the Evaluation of Engineering Artificial General Intelligence Devin, 2024

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 1592a5d3-b205-4a49-bfb7-04d50bdeefcd · outbound

This paper cites A performance study of llm- generated code on leetcode.

On the Evaluation of Engineering Artificial General Intelligence A performance study of llm- generated code on leetcode

Reference 8

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d59be1aa-26f7-48c1-b084-960595ad3f19 · outbound

This paper cites Designqa: A multimodal benc hmark for evaluating large language models’ understanding of engineering documentat ion.

On the Evaluation of Engineering Artificial General Intelligence Designqa: A multimodal benc hmark for evaluating large language models’ understanding of engineering documentat ion

Reference 9

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b2a550ee-3f2b-429c-aca9-f4476f27685a · outbound

This paper cites Mind over machine.

On the Evaluation of Engineering Artificial General Intelligence Mind over machine

Reference 10

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b437f498-ea57-46b0-a2f1-76861b69d444 · outbound

This paper cites Time-Dependent Equation-of-Motion Coupled-Cluster Simulations with a Defective Hamiltonian.

On the Evaluation of Engineering Artificial General Intelligence Time-Dependent Equation-of-Motion Coupled-Cluster Simulations with a Defective Hamiltonian

Reference 11

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Observation 90c8a2bf-2bf7-4a42-b129-ec553020572a · outbound

This paper cites From automation to augmentation: Redefining engineering design and manufacturing in the age of nextgen- ai.

On the Evaluation of Engineering Artificial General Intelligence From automation to augmentation: Redefining engineering design and manufacturing in the age of nextgen- ai

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8cdce0f2-1999-4c91-a184-8ca14a84fd40 · outbound

This paper cites Artificial general intelligence: concep t, state of the art, and future prospects.

On the Evaluation of Engineering Artificial General Intelligence Artificial general intelligence: concep t, state of the art, and future prospects

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 28483a0e-e605-4e7f-b957-a5432f4d43ef · outbound

This paper cites Measuring Massive Multitask Language Understanding.

On the Evaluation of Engineering Artificial General Intelligence Measuring Massive Multitask Language Understanding

Reference 14

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Source-reported events for the cited work

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Observation 402e9ff7-bc5e-46bc-8808-834d26013693 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

On the Evaluation of Engineering Artificial General Intelligence Measuring Mathematical Problem Solving With the MATH Dataset

Reference 15

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Observation ea1d643d-d8e2-4c8a-9db7-5a14e149ae16 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

On the Evaluation of Engineering Artificial General Intelligence SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 16

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source=pdf_text observed=2026-08-15T21:10:33.608347Z digest=sha256:e43828e6a375b7967b35cf4bcf59912960e8c7c1c3dd1e73f2001681ce827ddc

Observation b064c6b8-5d6a-4471-b05c-943d77393173 · outbound

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

On the Evaluation of Engineering Artificial General Intelligence PubMedQA: A Dataset for Biomedical Research Question Answering

Reference 17

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no resolver link, observed 2026-08-15T21:10:33.612837Z

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source=pdf_text observed=2026-08-15T21:10:33.612837Z digest=sha256:8eaf62374d6af205ebd37321d74f8331ed63939c133c2ee0a3726b5c18094ead

Observation ea5a5454-ee8d-460a-bfd1-f6289363e3b9 · outbound

This paper cites Medqa: A dataset for biomedical question answering.

On the Evaluation of Engineering Artificial General Intelligence Medqa: A dataset for biomedical question answering

Reference 18

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ccfaccb1-9569-454b-b072-104cdbb72ce2 · outbound

This paper cites Competition-level code generation with alphacode.

On the Evaluation of Engineering Artificial General Intelligence Competition-level code generation with alphacode

Reference 19

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 521e9a4f-10fc-4881-b7e2-1103dddbb5d8 · outbound

This paper cites Levels o f agi for operationalizing progress on the path to agi.

On the Evaluation of Engineering Artificial General Intelligence Levels o f agi for operationalizing progress on the path to agi

Reference 20

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source=pdf_text observed=2026-08-15T21:10:33.625378Z digest=sha256:2b027dfa127ebbcdcc892b8dd7853d9dc6e7616640d1460e8f341c390212b1b3

Observation 6dec5654-fcf6-4ae6-9664-c0d90f4766cc · outbound

This paper cites Medmcqa: A multi- choice benchmark for medical q&a.

On the Evaluation of Engineering Artificial General Intelligence Medmcqa: A multi- choice benchmark for medical q&a

Reference 21

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Observation 11f5e8ff-42b8-4cf2-bd89-ab495cf49e42 · outbound

This paper cites Skills, rules, and knowledge; signals , signs, and symbols, and other distinc- tions in human performance models.

On the Evaluation of Engineering Artificial General Intelligence Skills, rules, and knowledge; signals , signs, and symbols, and other distinc- tions in human performance models

Reference 22

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8376ed5d-6c6b-44b8-a1b7-fa9eecd0476a · outbound

This paper cites A perspective on lifelong open- ended learning autonomy for robotics through cognitive arc hitectures.

On the Evaluation of Engineering Artificial General Intelligence A perspective on lifelong open- ended learning autonomy for robotics through cognitive arc hitectures

Reference 23

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d324b66a-c292-4463-918e-b7f15057dfb3 · outbound

This paper cites Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

On the Evaluation of Engineering Artificial General Intelligence Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Reference 24

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T21:10:33.641934Z digest=sha256:1066a003aa27ebfca14b69237c2c2f9a9d20341f9ef975b0be0395ee1c9a1468

Observation 795e16db-b934-464e-8f44-73212aec5724 · outbound

This paper cites Superglue: A stickier benchm ark for general-purpose language understanding systems.

On the Evaluation of Engineering Artificial General Intelligence Superglue: A stickier benchm ark for general-purpose language understanding systems

Reference 25

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7e865421-76cf-4fa9-b6d7-ca6b6dd03fe7 · outbound

This paper cites Mmlu -pro: A more robust and challenging multi-task language understanding benchmark.

On the Evaluation of Engineering Artificial General Intelligence Mmlu -pro: A more robust and challenging multi-task language understanding benchmark

Reference 26

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:10:33.650886Z digest=sha256:f3d1d6a979b01d5abc18e22983e834f404d9811ab3917d2b41e1701fa841e60e

Observation a8895d47-463e-4f87-8848-b30ceb864f34 · outbound

This paper cites Sciknowe val: A multi-level scientific knowledge evaluation benchmark for large language models.

On the Evaluation of Engineering Artificial General Intelligence Sciknowe val: A multi-level scientific knowledge evaluation benchmark for large language models

Reference 27

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raw_fallback, observed 2026-08-15T21:10:34.173193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:10:33.655225Z digest=sha256:39e1ad79d5e0860d2e48760321d275961b9f2a05dd019e1750a5cf012569816f

Observation c43d404a-5ecb-469c-bbcb-2d2ec8294903 · outbound

This paper cites Judg ing llm-as-a-judge with mt-bench and chatbot arena.

On the Evaluation of Engineering Artificial General Intelligence Judg ing llm-as-a-judge with mt-bench and chatbot arena

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:10:33.659302Z digest=sha256:48545e330494ae9a070d32a91307e847d0be8de557f6f5ae5087e73a51f3b6b1

Observation 5c3d9ee4-2fa8-404e-99d9-50c849adfc58 · outbound

This paper cites Agent-as-a-Judge: Evaluate Agents with Agents.

On the Evaluation of Engineering Artificial General Intelligence Agent-as-a-Judge: Evaluate Agents with Agents

Reference 29

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no resolver link, observed 2026-08-15T21:10:33.664262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:33.664262Z digest=sha256:ddd790af6cc02520cf4b2ecf000ba5209bd5efbebd68d74f8eed1007c6b03bce

Observation 2e7dee89-f35c-472a-94c0-4e1d035c92d3 · outbound

This paper cites The quadrotor design emphasiz ed hover thrust, symmetric loading across multiple rotors, and rapid throttle response.

On the Evaluation of Engineering Artificial General Intelligence The quadrotor design emphasiz ed hover thrust, symmetric loading across multiple rotors, and rapid throttle response

Reference 30

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raw_fallback, observed 2026-08-15T21:10:34.143241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:10:33.669436Z digest=sha256:d67886bcbfa362740cb0215388e3db3edb1b27469f661397fe0d0125ab51f896

Observation 96a762ea-afbe-4c26-a2db-68721d9c8e94 · outbound

This paper cites Li–S batteries, while offering higher specific energy, have lower discharge rates and a steeper voltage drop-off under load.

On the Evaluation of Engineering Artificial General Intelligence Li–S batteries, while offering higher specific energy, have lower discharge rates and a steeper voltage drop-off under load

Reference 31

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raw_fallback, observed 2026-08-15T21:10:34.128442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:10:33.674172Z digest=sha256:0599cbde05bad71bf8cedf7cbca070c3d49ef129ef17b63e82672a7f272abd31

Observation 2182c1a2-67ce-4a44-8dc1-66d1b8121775 · outbound

This paper cites My prior motor-propeller-battery configuration assumed compact LiPo packs that could be distributed evenly across a symmetrical frame, which does not apply to a fixed-wing fuselage.

On the Evaluation of Engineering Artificial General Intelligence My prior motor-propeller-battery configuration assumed compact LiPo packs that could be distributed evenly across a symmetrical frame, which does not apply to a fixed-wing fuselage

Reference 32

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raw_fallback, observed 2026-08-15T21:10:34.113505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 17cf6622-dc6a-430b-9ef1-dad876d0d548 · outbound

This paper cites Fixed-wing config- urations may have less direct airflow, especially during low -speed climb or gliding.

On the Evaluation of Engineering Artificial General Intelligence Fixed-wing config- urations may have less direct airflow, especially during low -speed climb or gliding

Reference 33

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raw_fallback, observed 2026-08-15T21:10:34.098056Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:10:33.683031Z digest=sha256:62cd55141fdd9a84128e93d6590d075417243ae4c4b9c6c4cf72e46800c028cf

Observation 08b4acc4-8ad5-47c9-812b-e126fcd9b28f · outbound

This paper cites These may not remain valid under the flatter discharge and dynamic loading behavi or of Li–S batteries.

On the Evaluation of Engineering Artificial General Intelligence These may not remain valid under the flatter discharge and dynamic loading behavi or of Li–S batteries

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:10:33.687779Z digest=sha256:e7b2c6a110d200e0077a246d03a35d77a9db7d89873fa8041e0c724689a9fc88

Observation 87ee7490-4b19-40ca-a471-0666f4c68d96 · outbound

This paper cites My original design pipeline lacked battery aging or risk modeling.

On the Evaluation of Engineering Artificial General Intelligence My original design pipeline lacked battery aging or risk modeling

Reference 35

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raw_fallback, observed 2026-08-15T21:10:34.066389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:10:33.691945Z digest=sha256:67d2fa2e379886d9d2543d07cd40707647264f91bb5483b53b5c4dc5bb58fdbd

Observation 4385c05c-03f0-4b0c-a509-cda94a3dc7f4 · outbound

This paper cites This simplification ignored how efficiency varies with dynamic factors such as changes in ang le of attack, inflow velocity, RPM transients, and air density.

On the Evaluation of Engineering Artificial General Intelligence This simplification ignored how efficiency varies with dynamic factors such as changes in ang le of attack, inflow velocity, RPM transients, and air density

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:10:34.051261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:10:33.696152Z digest=sha256:b8fac66897d5a2d603343dff3e51ecf63d63706def3626921b3e44ad103794da

Observation f10fdb7a-654d-4e08-a341-42465bc69c54 · outbound

This paper cites This means t he effects of blade vortex inter- action, delayed flow separation, or wake interference durin g acceleration or descent were not captured.

On the Evaluation of Engineering Artificial General Intelligence This means t he effects of blade vortex inter- action, delayed flow separation, or wake interference durin g acceleration or descent were not captured

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:10:34.035670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:10:33.700477Z digest=sha256:1c40a9b560b715ec1bc4aa36a507239f70180327eabac7fb47b4132f4b4287c3

Observation 7d3e24de-c2f8-4f6d-83a6-8b157cb7a4ff · outbound

This paper cites an unresolved cited work.

On the Evaluation of Engineering Artificial General Intelligence Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:10:34.020677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:10:33.704634Z digest=sha256:c065d707188de7d166e73fa3f85c7aa27a39b4d507aaf12cbcf38ddf5a361b56

Observation db848e44-800b-495b-a7f6-f3e0e0525ced · outbound

This paper cites In prac- tice, airframe-induced turbulence or flow deflection can red uce effective thrust, particularly in complex maneuvers.

On the Evaluation of Engineering Artificial General Intelligence In prac- tice, airframe-induced turbulence or flow deflection can red uce effective thrust, particularly in complex maneuvers

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:10:34.005994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:10:33.709806Z digest=sha256:4758f817a2fa58e45d3f53820ae9854213d3c629ad136e53dc4cd30a0248718c

Pith citing papers

Observation 8c167bb1-091a-4b4c-9656-bcb4dc2ebab4 · inbound

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact cites this paper.

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact On the Evaluation of Engineering Artificial General Intelligence

Reference 281

Resolution
unresolved
no resolver link, observed 2026-08-06T21:07:11.608227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:07:11.608227Z digest=sha256:c7a47e2905b4ccfa8211e45b47493d00ab72575e5ee681f5a95f8e991b2e3b34

Observation 28402a87-4d32-400c-a51e-bd3c15222d19 · inbound

Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimization cites this paper.

Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimization On the Evaluation of Engineering Artificial General Intelligence

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:05:57.642223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T16:17:32.290531Z digest=sha256:9d666f2bb852c349d5d33f0e8e99b3eee19d76c84119d5b17247db5698a123f2