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Paper Citation Record · LEDGER

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems

As of 10 August 2026, this Paper Citation Record lists 100 of 169 outbound references and 0 inbound Pith citation observations for arXiv:2608.00680.

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

pith.paper-citation-record.v1
2608.00680 v1

Coverage vector

measured 100 of 169 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:44:45.481707Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 169 outbound references displayed

  • verified exact8
  • verified fuzzy0
  • unresolved92
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8d8cc822-fd72-44de-a898-d4e60d06251f · outbound

This paper cites When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation

Reference 1

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Observation 14fb4318-0a6a-4f0c-ac06-d43f239cce44 · outbound

This paper cites , author Bothell, D.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Bothell, D

Reference 2

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Observation bb5bca55-53f4-4629-9ea9-deb4b6e766e5 · outbound

This paper cites , author O'Malley, L.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author O'Malley, L

Reference 3

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Observation 85aeb2a8-657a-40f1-81d7-5b1669a8cda0 · outbound

This paper cites , year 1992.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , year 1992

Reference 4

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Observation 5c3fa7f1-a54c-4864-93a7-89726a6305f0 · outbound

This paper cites , year 2000.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , year 2000

Reference 5

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Observation 41f1d6d9-c2b4-4bbe-a9b5-4f8f2e1c9802 · outbound

This paper cites , year 2003.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , year 2003

Reference 6

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Observation 51b69832-3d02-4428-84a0-a22472887152 · outbound

This paper cites , author Ceci, S.J.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Ceci, S.J

Reference 7

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Observation aece68a6-208a-416a-a99b-800031f2c243 · outbound

This paper cites , author Gebru, T.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Gebru, T

Reference 8

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source=arxiv_source observed=2026-08-04T00:44:36.194127Z digest=sha256:5b2552cf22087397de9bd65bbd94c43e37616386effe1efeac875bfdd840d5eb

Observation 227b2824-4143-44f6-b949-b9c77c95d971 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems On the Opportunities and Risks of Foundation Models

Reference 9

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Observation 79bf42a5-c7b7-4a7d-8679-fa924dbe51a2 · outbound

This paper cites , author Mensch, A.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Mensch, A

Reference 10

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source=arxiv_source observed=2026-08-04T00:44:36.454976Z digest=sha256:1e2def47e994e5e7dcbf0f048dd8bb4968a90163176fd145585925e27ff21589

Observation cfcdca6f-d65f-4da7-82a4-da66054ed818 · outbound

This paper cites , year 1988.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , year 1988

Reference 11

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Observation 10dcef57-cfe3-4d79-b75b-b881924eb1cd · outbound

This paper cites , author Chalmers, D.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Chalmers, D

Reference 12

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Observation f4e9c42f-691c-4e10-bfa8-66054026c091 · outbound

This paper cites , author Khandelwal, U.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Khandelwal, U

Reference 13

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Observation bf13e889-6490-4f49-8e8d-2f7e21d97cea · outbound

This paper cites , author Meehl, P.E.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Meehl, P.E

Reference 14

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Observation 653dc055-991d-4213-8785-8ccda6715177 · outbound

This paper cites , author Kyle, K.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Kyle, K

Reference 15

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source=arxiv_source observed=2026-08-04T00:44:37.179455Z digest=sha256:49684da34ddabf9fcd7b68e058aaec16e3bcfce4455f2bb85fcaaa05dc444a35

Observation 1f2427df-05f6-4f7f-a820-4db93a087ef9 · outbound

This paper cites , year 2017.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , year 2017

Reference 16

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Observation 000615c8-2a1e-41b3-a7a6-5a87228b4d1d · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems Towards A Rigorous Science of Interpretable Machine Learning

Reference 17

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Observation 3d59bbba-dbce-43eb-b893-e9613d902022 · outbound

This paper cites Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation

Reference 18

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Observation 140c0886-e10a-4ae0-891c-80edf3dc101c · outbound

This paper cites , author Jurafsky, D.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Jurafsky, D

Reference 19

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Observation 7abd2be5-519b-498e-b626-8322fe832cb4 · outbound

This paper cites , year 2018.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , year 2018

Reference 20

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Observation 3468200f-8614-485b-b4ee-80a5711f5a8c · outbound

This paper cites , author Ghahramani, Z.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Ghahramani, Z

Reference 21

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Observation 9892e424-523d-49cd-ade0-f1b2f815a82c · outbound

This paper cites , year 1983.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , year 1983

Reference 22

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Observation 6a35142b-55b5-455a-9527-06d98a8b2c3a · outbound

This paper cites , author Lieder, F.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Lieder, F

Reference 23

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Observation 80122fa6-3edf-4200-a5fd-e3d6f1d51e04 · outbound

This paper cites , author Pleiss, G.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Pleiss, G

Reference 24

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Observation 9b3d6973-de9c-436d-a2e5-58559921c44c · outbound

This paper cites , author Baker, R.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Baker, R

Reference 25

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Observation cb9a2eb9-9ae0-4c6b-870e-0f55237a2108 · outbound

This paper cites , author Hasan, R.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Hasan, R

Reference 26

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Observation 80f2a1aa-dbfe-48c1-b160-7a37178e9cf8 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems Measuring Massive Multitask Language Understanding

Reference 27

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Observation ad1c87da-5b65-4ebe-a7ce-765548aaff23 · outbound

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Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems Training Compute-Optimal Large Language Models

Reference 28

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Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , editor Morrison, R.G

Reference 29

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Observation 89d43cd9-faf8-456a-84c8-34a29f9b1ade · outbound

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Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 30

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Observation ecb43064-d31a-4b0e-8e67-e5b8ece4cc67 · outbound

This paper cites , year 1995.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , year 1995

Reference 31

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Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Lee, N

Reference 32

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Observation 3c23083a-65d1-493a-8588-22b26521d51c · outbound

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Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Carpenter, P.A

Reference 33

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Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , year 2011

Reference 34

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Observation e9c071f8-1248-4e43-8319-ac933dcded7d · outbound

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Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems Scaling Laws for Neural Language Models

Reference 35

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Reference 36

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Observation dbb62c34-81fe-4993-a160-2e7cc12a7903 · outbound

This paper cites , author Conway, A.R.A.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Conway, A.R.A

Reference 37

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Observation f0d7f2aa-dda8-4dda-8068-96951d71acc3 · outbound

This paper cites , author Campbell, D.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Campbell, D

Reference 38

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source=arxiv_source observed=2026-08-04T00:44:39.919150Z digest=sha256:b9c400c21e8871b93c146c789f0d5fb32f2493799459eb9b666570e173bab8d2

Observation f645ac63-ee0b-4740-9d3f-311650a79224 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 39

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source=arxiv_source observed=2026-08-04T00:44:40.004577Z digest=sha256:2dd6eb6fe6557696649a4a14770f322dd99048714b87ee4004ce3dd924e13ae9

Observation bc177295-0774-4234-a5a4-fae21f980f6d · outbound

This paper cites Holistic Evaluation of Language Models.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems Holistic Evaluation of Language Models

Reference 40

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source=arxiv_source observed=2026-08-04T00:44:40.124329Z digest=sha256:a4c05d54618657198e7559f6130e2102bb26c9c67d9608cacf51003fbf40435f

Observation 6b083cfb-6e01-47fd-a6f2-cabcdd66c09b · outbound

This paper cites , author Hilton, J.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Hilton, J

Reference 41

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source=arxiv_source observed=2026-08-04T00:44:40.277352Z digest=sha256:468bdd8c74018bd572dbf5c0ce4c6333a51465c55ed4b7348d5f2ffaf5179e20

Observation 477ec86e-bf1d-4f05-be82-daaf1d29f3a2 · outbound

This paper cites , author Guo, Y.X.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Guo, Y.X

Reference 42

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source=arxiv_source observed=2026-08-04T00:44:40.438307Z digest=sha256:bf0b36b4e6e9bcf5c2bef063d07c5b02171890ec52192b842dd8d006d687faae

Observation 97143096-4ab7-448a-84d4-d794d044baeb · outbound

This paper cites , author Schwartz, R.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Schwartz, R

Reference 43

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source=arxiv_source observed=2026-08-04T00:44:40.605482Z digest=sha256:b3bd99e4ac18c26bb39f193471cedb63be3f8b97ea2acdd5e82a5d3267f4b5bc

Observation 4916d861-cd4d-4283-9252-c0e656559148 · outbound

This paper cites , year 1982.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , year 1982

Reference 44

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source=arxiv_source observed=2026-08-04T00:44:40.750828Z digest=sha256:f2b5e8ef443a6428ff827f0d8e002c3be922969e95f94fab154027da694d0354

Observation 0c301a60-eacc-455c-9487-9c27e0938ade · outbound

This paper cites , author Narayan, S.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Narayan, S

Reference 45

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source=arxiv_source observed=2026-08-04T00:44:40.871481Z digest=sha256:d8023dff124ccd8ea29a88d35fc2654b7827f2cf05adee7713ddb1230a6aa557

Observation 61fa23cc-0b7b-4188-ba82-dfc7f52bc0fe · outbound

This paper cites , author Louwerse, M.M.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Louwerse, M.M

Reference 46

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source=arxiv_source observed=2026-08-04T00:44:41.028203Z digest=sha256:5bcf69a92aabafb50f37ff709e34797d4a0d8d567f17baa879919431699f9920

Observation d05e9564-7c67-4161-87b7-17438fb7ed6b · outbound

This paper cites , year 2025.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , year 2025

Reference 47

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source=arxiv_source observed=2026-08-04T00:44:41.162999Z digest=sha256:b00bcf10b31f805f8eff254973b3431d3d07af58237d1c31b72febc63251eb71

Observation 998e0355-d1ec-4b79-8d3c-1784a1f17998 · outbound

This paper cites , year 1995.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , year 1995

Reference 48

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source=arxiv_source observed=2026-08-04T00:44:41.212354Z digest=sha256:09a643ba4e638dd213d39f8299ce6575bb9d618f0ba696d633e728e1e0c166d9

Observation 3c3f451f-4382-43a0-b764-5bc2fb846a8b · outbound

This paper cites , year 1956.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , year 1956

Reference 49

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source=arxiv_source observed=2026-08-04T00:44:41.341405Z digest=sha256:db4d7c9d08fc60d40e007d427add34d37d3b73ca477fa32db8f5a7fa8a9c826f

Observation eb3fdf47-5e3b-4ea2-b7ac-5a802cde2465 · outbound

This paper cites , year 2021.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , year 2021

Reference 50

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source=arxiv_source observed=2026-08-04T00:44:41.419503Z digest=sha256:f11898cf19bf840634d6d4b157b6ac4a3cbe7b5d6e4c734a2ca73cb5ad060d8f

Observation 4e9dcbd7-090b-4941-a494-94e8fadc30e5 · outbound

This paper cites , author Terwee, C.B.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Terwee, C.B

Reference 51

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source=arxiv_source observed=2026-08-04T00:44:41.469038Z digest=sha256:e13e924504b3cf2508a3c27a3a85c7bdc45f055d147200b1000966d7c2f5649b

Observation eb73e787-a6c6-4cc2-8443-7492f07dfee1 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems WebGPT: Browser-assisted question-answering with human feedback

Reference 52

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source=arxiv_source observed=2026-08-04T00:44:41.511852Z digest=sha256:dcdce72420b456665741c8976c8fc98d52e2c505d33fce330652e4e92def4157

Observation 3f0f209a-ddea-49ec-bd73-7969414dadd1 · outbound

This paper cites , year 1990.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , year 1990

Reference 53

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source=arxiv_source observed=2026-08-04T00:44:41.570572Z digest=sha256:2ebd4ae32e8aeb0d01bc11eafcc7757d4c6ccaeaf400a0b9593ee21bc8276ebb

Observation 6d33fc21-65cd-4b1d-b700-53efedbbbb6a · outbound

This paper cites , author Simon, H.A.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Simon, H.A

Reference 54

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source=arxiv_source observed=2026-08-04T00:44:41.625737Z digest=sha256:fa8cb4cbf154f5f4a939824c7f6453333ea3dd72622b9c5a5c1e8c9ae772d000

Observation 10c1f04f-9f15-4e5f-b0c3-99cf3a1de9f3 · outbound

This paper cites , author Salomon, G.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Salomon, G

Reference 55

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source=arxiv_source observed=2026-08-04T00:44:41.684156Z digest=sha256:40098e53ff06caa5d5fdafc6dca2d20d500225da1fafd47c3f94b58f740aa980

Observation c0c37829-80fd-4132-b232-42c206797e64 · outbound

This paper cites , author Godfrey, C.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Godfrey, C

Reference 56

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source=arxiv_source observed=2026-08-04T00:44:41.735892Z digest=sha256:9969bfe7ab566b3bc83637e29ec3c29283126a466296b1bf380208f866b61239

Observation cd37cc0e-6b00-4fd0-beb4-1d01b15b8d4a · outbound

This paper cites , author Mokkink, L.B.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Mokkink, L.B

Reference 57

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source=arxiv_source observed=2026-08-04T00:44:41.773930Z digest=sha256:c81f4ba2d654075ce5364becf96469a4d2e7e815b6386054016ebec908a0f130

Observation 9fdc3ab4-0c71-4a13-85ec-e0013b3eed0f · outbound

This paper cites , author Kumar, I.E.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Kumar, I.E

Reference 58

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source=arxiv_source observed=2026-08-04T00:44:41.834305Z digest=sha256:d0b17c029f31a53037e4412f8bc9dbc0904b3cf5c0ef8f2714bd211c16c72fda

Observation e6790e87-acc2-4306-843f-073701b47514 · outbound

This paper cites , author Kovaleva, O.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Kovaleva, O

Reference 59

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source=arxiv_source observed=2026-08-04T00:44:41.902076Z digest=sha256:7f60643c6df2a69c21e56610d2fe4154f97baad494d6586afd1e24d7caccadd9

Observation ff96a79a-5b22-4319-a2e9-e292ddf7fa30 · outbound

This paper cites , author He, H.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author He, H

Reference 60

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source=arxiv_source observed=2026-08-04T00:44:41.950812Z digest=sha256:19cc3ae2b71708b378a0a485fc1be888a5b1744f5e8caea6cd209a0e1c913132

Observation 67e1624d-ee58-4c5e-a703-62b2cad7663b · outbound

This paper cites Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws

Reference 61

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source=arxiv_source observed=2026-08-04T00:44:42.010947Z digest=sha256:f03722134446ee43fc5f441c3cf26d7a84980f0ebdac7b438713a6f089725ac1

Observation fd650397-38bb-456c-9017-ffdea2bc47b8 · outbound

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

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 62

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source=arxiv_source observed=2026-08-04T00:44:42.059277Z digest=sha256:4d3e191102c557e0984624172cfe541c160141680ffa9ee40c89474aab3b54c7

Observation 852ac174-8b20-43f3-a26d-5fd9b3d0bbfc · outbound

This paper cites , author Dodge, J.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Dodge, J

Reference 63

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source=arxiv_source observed=2026-08-04T00:44:42.105629Z digest=sha256:079294ff11e9afbaa14b2e6330b41335920518093a901ca7d4f091d8f80b0b6f

Observation 316a0a75-b919-48f1-850e-11d66e23b49a · outbound

This paper cites REPLUG: Retrieval-Augmented Black-Box Language Models.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems REPLUG: Retrieval-Augmented Black-Box Language Models

Reference 64

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source=arxiv_source observed=2026-08-04T00:44:42.187896Z digest=sha256:ecc9ab2eff835b8cf646ab040d0cca91afd2642337333a9cc369f1f81052b593

Observation a7e35921-cd7c-4645-acc7-abd6edaf20eb · outbound

This paper cites , year 1956.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , year 1956

Reference 65

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source=arxiv_source observed=2026-08-04T00:44:42.223446Z digest=sha256:66b24385364258e941245a08e00a7ceabaffce9994d250dd090cc9c3aa7d787f

Observation a5ce8415-a2d6-49c4-b64a-68372e3a53d5 · outbound

This paper cites , year 1972.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , year 1972

Reference 66

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source=arxiv_source observed=2026-08-04T00:44:42.278927Z digest=sha256:99eaf21d9164b76c39367e00268a5f4d2d059499690e558d1935ecaca1ee7210

Observation 9670a9bc-5d63-4ce3-ac4c-9d1be50ae08d · outbound

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

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Reference 67

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source=arxiv_source observed=2026-08-04T00:44:42.335984Z digest=sha256:213ce2a2d53c7f6818b393ad364b1f38b244d80e616900e4d59b79422ab4d249

Observation 4dc70094-0052-4753-8084-47b5c4627ff2 · outbound

This paper cites , author Ganesh, A.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Ganesh, A

Reference 68

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source=arxiv_source observed=2026-08-04T00:44:42.395984Z digest=sha256:6d81c2fdfeb5ce5f843bba80ac5557cd6e338a5ce2be39f1bb94c021391f114c

Observation 539d9a74-522e-49ff-94aa-371d40e8fd3c · outbound

This paper cites , year 1988.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , year 1988

Reference 69

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source=arxiv_source observed=2026-08-04T00:44:42.463102Z digest=sha256:32ef87903071a826652df750c94c655bf558db9c9b06f75629df0a10ee69188e

Observation 9869780c-a82a-49e4-b736-770e0ad40713 · outbound

This paper cites , author van Merri \"e nboer, J.J.G.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author van Merri \"e nboer, J.J.G

Reference 70

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source=arxiv_source observed=2026-08-04T00:44:42.512141Z digest=sha256:8c533cd898ca3162aaded81e58735b788dbc2320021dae40c306c68c20de2c63

Observation 11d79fbf-c438-4fb9-8907-0ae9f10abe58 · outbound

This paper cites , author Prinsen, C.A.C.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Prinsen, C.A.C

Reference 71

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source=arxiv_source observed=2026-08-04T00:44:42.608382Z digest=sha256:c6641fda5a0c13059f7550ecff129a0631d824ecca6bf29b716c38b3683e95a8

Observation 1379cc23-79b7-42d9-be66-a97cd2e7762b · outbound

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

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting

Reference 72

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source=arxiv_source observed=2026-08-04T00:44:42.667283Z digest=sha256:0bd7e835680df8a405829e5d49d6cc2b75decd37ec4cadb85cc384f772ca2c67

Observation 26474733-4b0d-495c-a1aa-7362515aa9c2 · outbound

This paper cites , author Kahneman, D.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Kahneman, D

Reference 73

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source=arxiv_source observed=2026-08-04T00:44:42.791292Z digest=sha256:bd46b8ebd8c180afc2c550f850d0f0f06102ba76ca442e4148e4366bc745ea71

Observation 516bf796-9693-4233-aca2-a76f4c477cfe · outbound

This paper cites SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems

Reference 74

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source=arxiv_source observed=2026-08-04T00:44:42.900081Z digest=sha256:f7b4585375fd479b76ad28e9881cb9bcdf0cabc139e11b2e941c1ea270cfdd6d

Observation 952aa21c-a1d5-42fe-9fa1-1221f4abed02 · outbound

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

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 75

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source=arxiv_source observed=2026-08-04T00:44:42.983659Z digest=sha256:1ee90252c4d06c60168b31100df94e782ed445cc9780ffce5e16702c33b8a2cb

Observation 7053e1b8-0a89-4df3-a047-c2eadb424dd9 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 76

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This paper cites , year 1986.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , year 1986

Reference 77

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This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 78

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This paper cites BERTScore: Evaluating Text Generation with BERT.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems BERTScore: Evaluating Text Generation with BERT

Reference 79

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This paper cites , author Pacchiardi, L.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , author Pacchiardi, L

Reference 80

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This paper cites , title =.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , title =

Reference 81

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This paper cites and Bothell, Daniel and Byrne, Michael D.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems and Bothell, Daniel and Byrne, Michael D

Reference 82

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This paper cites When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation

Reference 83

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Observation dd85bd6b-4a02-499d-818d-d0271eeb9439 · outbound

This paper cites International Journal of Social Research Methodology , volume =.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems International Journal of Social Research Methodology , volume =

Reference 84

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This paper cites Science , volume =.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems Science , volume =

Reference 85

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This paper cites Trends in Cognitive Sciences , volume =.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems Trends in Cognitive Sciences , volume =

Reference 86

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This paper cites Nature Reviews Neuroscience , volume =.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems Nature Reviews Neuroscience , volume =

Reference 87

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This paper cites and Ceci, Stephen J.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems and Ceci, Stephen J

Reference 88

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Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems and Gebru, Timnit and McMillan-Major, Angelina and Shmitchell, Shmargaret , title =

Reference 89

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This paper cites On the Opportunities and Risks of Foundation Models.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems On the Opportunities and Risks of Foundation Models

Reference 90

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This paper cites Proceedings of the 39th International Conference on Machine Learning , series =.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems Proceedings of the 39th International Conference on Machine Learning , series =

Reference 91

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This paper cites , title =.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , title =

Reference 92

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This paper cites and Fiske, Donald W.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems and Fiske, Donald W

Reference 93

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This paper cites Analysis , volume =.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems Analysis , volume =

Reference 94

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This paper cites , title =.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , title =

Reference 95

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Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems and Meehl, Paul E

Reference 96

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Observation d6778f7c-da0f-40b4-ba8f-55bde93fd4a8 · outbound

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Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems and Kyle, Kristopher and McNamara, Danielle S

Reference 97

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Observation 763c0063-80d4-4bc8-9f05-b93843e5ec4f · outbound

This paper cites , title =.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems , title =

Reference 98

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Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems 2026 , publisher =

Reference 99

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Observation d17c260a-7496-43f2-8804-99ccd98637b5 · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems Towards A Rigorous Science of Interpretable Machine Learning

Reference 100

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Pith citing papers

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