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Paper Citation Record · LEDGER

Can AI Follow In Einstein's Footsteps?

As of 14 August 2026, this Paper Citation Record lists 100 of 127 outbound references and 0 inbound Pith citation observations for arXiv:2607.27794.

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

pith.paper-citation-record.v1
2607.27794 v1

Coverage vector

measured 100 of 127 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-01T01:19:20.601804Z

measured 100 of 100 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

100 of 127 outbound references displayed

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Outbound references

Observation fc4a54bb-c591-49f1-8de9-36a2e6490c1d · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 1

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Observation 87a6d8a5-d38a-4a91-bef5-a024565d2965 · outbound

This paper cites & King, R.

Can AI Follow In Einstein's Footsteps? & King, R

Reference 2

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Observation 65a76c66-14ee-4009-ad5e-6450f0cdc582 · outbound

This paper cites & Tegmark, M.

Can AI Follow In Einstein's Footsteps? & Tegmark, M

Reference 3

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Observation 78f97c1e-2c6b-4793-af4a-7467e0b99386 · outbound

This paper cites Artificial intelligence to win the Nobel Prize and beyond: Creating the engine of scientific discovery.AI magazine37,39–49 (2016).

Can AI Follow In Einstein's Footsteps? Artificial intelligence to win the Nobel Prize and beyond: Creating the engine of scientific discovery.AI magazine37,39–49 (2016)

Reference 4

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Observation d40fcad6-e498-4c05-9b43-4916e6a5f010 · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 5

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Observation 919497ce-face-42ef-9d63-a7884a4776c6 · outbound

This paper cites & Haken, W.

Can AI Follow In Einstein's Footsteps? & Haken, W

Reference 6

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Observation 4aacb918-c631-46e1-9eab-db63d8df6b38 · outbound

This paper cites & von Raumer, J.The Lean theorem prover (system description)inInternational Conference on Automated Deduction(2015), 378–388.

Can AI Follow In Einstein's Footsteps? & von Raumer, J.The Lean theorem prover (system description)inInternational Conference on Automated Deduction(2015), 378–388

Reference 7

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Observation 1957e907-e35c-4726-9872-c011c92f9ac9 · outbound

This paper cites On Conjectures of Graffiti.Annals of Discrete Mathematics38,113–118 (1988).

Can AI Follow In Einstein's Footsteps? On Conjectures of Graffiti.Annals of Discrete Mathematics38,113–118 (1988)

Reference 8

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Observation fd00f7c5-5a57-4cf5-9134-4c5ea2da7b42 · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 9

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Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 10

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Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 11

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Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 12

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Observation 6242cd21-840a-4892-9ffd-e0db4a272617 · outbound

This paper cites & Aarrestad, T.

Can AI Follow In Einstein's Footsteps? & Aarrestad, T

Reference 13

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Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 14

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This paper cites A., Bradshaw, G.

Can AI Follow In Einstein's Footsteps? A., Bradshaw, G

Reference 15

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Observation fbb83f10-8092-4b3f-baa6-f3f0f5841a21 · outbound

This paper cites & Lipson, H.

Can AI Follow In Einstein's Footsteps? & Lipson, H

Reference 16

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Observation d3730107-fcc8-452b-8e5c-2025d401a1c0 · outbound

This paper cites L., Proctor, J.

Can AI Follow In Einstein's Footsteps? L., Proctor, J

Reference 17

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Observation a8feb046-c1ec-4f82-91e2-597f972fe81e · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 18

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Observation cc15b90a-a9ab-4614-aeff-401ce635cbe2 · outbound

This paper cites Advances in Neural Information Processing Systems33,17429–17442 (2020).

Can AI Follow In Einstein's Footsteps? Advances in Neural Information Processing Systems33,17429–17442 (2020)

Reference 19

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Observation fb80cfde-f7ed-4da6-9499-43935581615a · outbound

This paper cites The Computational Gauntlet of Human-Like Learning.Proceedings of the 36th AAAI Conference on Artificial Intelligence(2022).

Can AI Follow In Einstein's Footsteps? The Computational Gauntlet of Human-Like Learning.Proceedings of the 36th AAAI Conference on Artificial Intelligence(2022)

Reference 20

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This paper cites W., Evans, R., Jumper, J.,et al.Improved protein structure prediction using poten- tials from deep learning.Nature577,706–710 (2020).

Can AI Follow In Einstein's Footsteps? W., Evans, R., Jumper, J.,et al.Improved protein structure prediction using poten- tials from deep learning.Nature577,706–710 (2020)

Reference 21

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Can AI Follow In Einstein's Footsteps? Unresolved cited work

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Can AI Follow In Einstein's Footsteps? Unresolved cited work

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Can AI Follow In Einstein's Footsteps? Unresolved cited work

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Can AI Follow In Einstein's Footsteps? & Karniadakis, G

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This paper cites & Karniadakis, G.

Can AI Follow In Einstein's Footsteps? & Karniadakis, G

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Can AI Follow In Einstein's Footsteps? Unresolved cited work

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Can AI Follow In Einstein's Footsteps? V ., Das, P

Reference 28

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Can AI Follow In Einstein's Footsteps? Unresolved cited work

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Can AI Follow In Einstein's Footsteps? A., Ricardez-Sandoval, L

Reference 30

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Can AI Follow In Einstein's Footsteps? Unresolved cited work

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This paper cites Emergent autonomous scientific research capabilities of large language models.

Can AI Follow In Einstein's Footsteps? Emergent autonomous scientific research capabilities of large language models

Reference 32

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This paper cites M.et al.Augmenting large language models with chemistry tools.Nature Machine Intelligence6,525–535 (2024).

Can AI Follow In Einstein's Footsteps? M.et al.Augmenting large language models with chemistry tools.Nature Machine Intelligence6,525–535 (2024)

Reference 33

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This paper cites Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.

Can AI Follow In Einstein's Footsteps? Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Reference 34

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This paper cites Solving Quantitative Reasoning Problems with Language Modelsin Advances in Neural Information Processing Systems(2022).

Can AI Follow In Einstein's Footsteps? Solving Quantitative Reasoning Problems with Language Modelsin Advances in Neural Information Processing Systems(2022)

Reference 35

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Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 36

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Can AI Follow In Einstein's Footsteps? H., Wu, Y ., Le, Q

Reference 37

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This paper cites From Euler to AI: Unifying Formulas for Mathematical ConstantsinAdvances in Neural Information Processing Systems38(Curran Associates, Inc., 2025), 123959–124040.

Can AI Follow In Einstein's Footsteps? From Euler to AI: Unifying Formulas for Mathematical ConstantsinAdvances in Neural Information Processing Systems38(Curran Associates, Inc., 2025), 123959–124040

Reference 38

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This paper cites Generative Language Modeling for Automated Theorem Proving.

Can AI Follow In Einstein's Footsteps? Generative Language Modeling for Automated Theorem Proving

Reference 39

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Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 40

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Observation 2bfc08a4-8636-4cd8-ba68-81b3a3b6d7c2 · outbound

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Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 41

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Observation fce94833-06ec-40aa-8837-65276e286e95 · outbound

This paper cites Fel’s Conjecture on Syzygies of Numerical SemigroupsarXiv:2602.03716 [math.CO](2026).

Can AI Follow In Einstein's Footsteps? Fel’s Conjecture on Syzygies of Numerical SemigroupsarXiv:2602.03716 [math.CO](2026)

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source=pdf_text observed=2026-08-01T01:19:20.429555Z digest=sha256:3a786d808b7a7c2691d408a6eeefc35e4136722e4876a5611edd54f991b8007f

Observation c378b6f0-3df6-4b01-80ae-f93716af0bd2 · outbound

This paper cites & Tang, Q.An Erdos problem on random subset sums in finite abelian groupsarXiv: 2602.05768 [math.CO](2026).

Can AI Follow In Einstein's Footsteps? & Tang, Q.An Erdos problem on random subset sums in finite abelian groupsarXiv: 2602.05768 [math.CO](2026)

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source=pdf_text observed=2026-08-01T01:19:20.432422Z digest=sha256:83f84145c310632e59e4156a1b8ce26fed61836656f46d6e172dd322efcdd165

Observation 99c3d1d4-fbf8-498d-b5aa-f3a58c9380be · outbound

This paper cites & Weil, K.Single-minus gluon tree amplitudes are nonzeroarXiv:2602.12176 [hep-th](2026).

Can AI Follow In Einstein's Footsteps? & Weil, K.Single-minus gluon tree amplitudes are nonzeroarXiv:2602.12176 [hep-th](2026)

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Observation 6ad29c4f-870a-42cb-824c-096f9d4398e1 · outbound

This paper cites & Weil, K.Single-minus graviton tree amplitudes are nonzeroarXiv:2603.04330 [hep-th](2026).

Can AI Follow In Einstein's Footsteps? & Weil, K.Single-minus graviton tree amplitudes are nonzeroarXiv:2603.04330 [hep-th](2026)

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This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 46

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Observation da27d62e-d401-4ab2-a412-1692cc138bc8 · outbound

This paper cites & Sohl-Dickstein, J.

Can AI Follow In Einstein's Footsteps? & Sohl-Dickstein, J

Reference 47

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source=pdf_text observed=2026-08-01T01:19:20.443817Z digest=sha256:5f6e613d970c5b84313ccbdbfa2c1f1d3b9e1f8d345674a3de61dbf9e20ae989

Observation a4de254f-456f-44d1-b58a-842e8d731e35 · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 48

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Observation df43ec55-8204-4de2-9919-b7011ea3e22a · outbound

This paper cites KAN: Kolmogorov-Arnold NetworksinInternational Conference on Learning Representations (ICLR)(2025).

Can AI Follow In Einstein's Footsteps? KAN: Kolmogorov-Arnold NetworksinInternational Conference on Learning Representations (ICLR)(2025)

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Observation de270436-3b9c-40cf-bfa0-aefe39d99cdc · outbound

This paper cites Physics-Informed Neural Networks and Extensions.

Can AI Follow In Einstein's Footsteps? Physics-Informed Neural Networks and Extensions

Reference 50

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Observation 1c2fddec-724c-44d2-af85-a3eab4a91a98 · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 51

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Observation 6cd0d238-764d-42bd-8375-d4e8e1e2f3fa · outbound

This paper cites A., MacKnight, R., Kline, B.

Can AI Follow In Einstein's Footsteps? A., MacKnight, R., Kline, B

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Observation 992c64d7-28a0-44e2-9d8c-3948c9712f33 · outbound

This paper cites & Shih, D.

Can AI Follow In Einstein's Footsteps? & Shih, D

Reference 53

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Observation fbcb6665-e614-4bfc-aac1-c927bc781451 · outbound

This paper cites & Hey, T.

Can AI Follow In Einstein's Footsteps? & Hey, T

Reference 54

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Observation a5b28766-183f-465d-9535-72dec07ce474 · outbound

This paper cites & Aspuru-Guzik, A.

Can AI Follow In Einstein's Footsteps? & Aspuru-Guzik, A

Reference 55

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Observation 4f735da4-4a39-4548-98bd-d27a724604ef · outbound

This paper cites & Beucler, T.

Can AI Follow In Einstein's Footsteps? & Beucler, T

Reference 56

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Observation 27e703a2-40e1-466d-8338-33a44f6aaa25 · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 57

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Observation edc5f9bf-b320-4208-b116-4f5dd3ba3451 · outbound

This paper cites & Chawla, S.A Perspective on Symbolic Machine Learning in Physical Sciences inNeurIPS 2024 Workshop on Machine Learning and the Physical Sciences(2024).

Can AI Follow In Einstein's Footsteps? & Chawla, S.A Perspective on Symbolic Machine Learning in Physical Sciences inNeurIPS 2024 Workshop on Machine Learning and the Physical Sciences(2024)

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Observation a44499c5-e1c7-4a0c-9f58-0d00bceb7e7c · outbound

This paper cites Interpretable Machine Learning in Physics: A Review.

Can AI Follow In Einstein's Footsteps? Interpretable Machine Learning in Physics: A Review

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Observation f98596fa-23fa-45cc-9f21-b372de1fb011 · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 60

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Observation 66ee273c-e40b-4961-8bc4-1bb38c8f8a2e · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 61

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Observation 1f0d6086-cc93-4664-8a38-6c6371bb0cbb · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 62

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Observation d57aa689-5018-4a44-bd7f-867761cf6143 · outbound

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Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 63

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Observation 0f33af2c-b2b3-4081-8621-12a5c160e4a5 · outbound

This paper cites & Crockett, M.

Can AI Follow In Einstein's Footsteps? & Crockett, M

Reference 64

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Observation 58c37eeb-6450-4294-8983-a9451b427a03 · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 65

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Observation ac0e0ac9-08ee-4bdd-88dd-5d825d79f9dd · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 66

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Observation c6c42534-1a1d-449f-8613-06cc631288c3 · outbound

This paper cites E.et al.Physics-informed machine learning.Nature Reviews Physics3,422– 440 (2021).

Can AI Follow In Einstein's Footsteps? E.et al.Physics-informed machine learning.Nature Reviews Physics3,422– 440 (2021)

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Observation 593dfa28-96a8-428e-8f21-f8b67049e588 · outbound

This paper cites & Solja ˇci´c, M.

Can AI Follow In Einstein's Footsteps? & Solja ˇci´c, M

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source=pdf_text observed=2026-08-01T01:19:20.505639Z digest=sha256:7eb0a4af51be1819031d5e8c3e9d77adf1d602fb3833d3bee105ac5dd51e8b02

Observation 1ee29e78-f723-4f02-b5b1-bfdac64ea9de · outbound

This paper cites Lagrangian Neural Networks.

Can AI Follow In Einstein's Footsteps? Lagrangian Neural Networks

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Observation ecf7ed66-181e-44a9-8948-f74cdb5d77c2 · outbound

This paper cites Neural Robot Dynamicsin9th Annual Conference on Robot Learning(2025).

Can AI Follow In Einstein's Footsteps? Neural Robot Dynamicsin9th Annual Conference on Robot Learning(2025)

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Observation 3f7d2f1b-b00e-498c-9818-15652d9aa4b9 · outbound

This paper cites Learning to Simulate Complex Physics with Graph Networksin Proceedings of the 37th International Conference on Machine Learning119(PMLR, 2020), 8459–8468.

Can AI Follow In Einstein's Footsteps? Learning to Simulate Complex Physics with Graph Networksin Proceedings of the 37th International Conference on Machine Learning119(PMLR, 2020), 8459–8468

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Observation 49dd1f84-2270-453b-a424-652f7a357d83 · outbound

This paper cites & Edmunds, M.

Can AI Follow In Einstein's Footsteps? & Edmunds, M

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Observation 859a18b8-4fce-400f-bc47-a2f92e2dc327 · outbound

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Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 73

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Observation fd836f93-23ad-4706-bfb6-96131ea89dc2 · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 74

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source=pdf_text observed=2026-08-01T01:19:20.524797Z digest=sha256:3694963141907072b3dac8c5de8b1618d91495697c891f81545d3c6f1ab1d81c

Observation 928583f0-74f7-4597-91f1-15371a668877 · outbound

This paper cites A General Black Box Theory.Philosophy of Science30,346–358 (1963).

Can AI Follow In Einstein's Footsteps? A General Black Box Theory.Philosophy of Science30,346–358 (1963)

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Observation d520b59e-8d27-4c29-9b92-18bf4dc17b92 · outbound

This paper cites S.The Structure of Scientific Revolutions(University of Chicago Press, 1962).

Can AI Follow In Einstein's Footsteps? S.The Structure of Scientific Revolutions(University of Chicago Press, 1962)

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Observation 15819e83-6a87-4b12-9351-89938e8c55fa · outbound

This paper cites Emergent Communication at ScaleinInternational Conference on Learning Representations(2022).

Can AI Follow In Einstein's Footsteps? Emergent Communication at ScaleinInternational Conference on Learning Representations(2022)

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source=pdf_text observed=2026-08-01T01:19:20.533793Z digest=sha256:f04cd5443f81c8f3846949b17f9cc19ae6ad4c078bd6d4a9a8b1a41e59b96e6e

Observation 595bd91d-61ec-4930-ae28-a60584d8c91b · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 78

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source=pdf_text observed=2026-08-01T01:19:20.536673Z digest=sha256:3d6b2f813ae4d209888aa2373f6cd602a85173390167e10636050d32cad98bd2

Observation 6392b63d-26a4-42f7-a782-093610b37a8d · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

Can AI Follow In Einstein's Footsteps? Training Large Language Models to Reason in a Continuous Latent Space

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Observation 603e93b8-9cc7-45c8-ae01-631db39f18d6 · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 80

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source=pdf_text observed=2026-08-01T01:19:20.542727Z digest=sha256:a3aaf4e663c753789f0f69a8958a7f45ed777dca35f618711882e35ac993fdd6

Observation f2082050-ac58-4714-a398-0c8a6323e509 · outbound

This paper cites Zur Theorie der Metalle.

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Observation c5e42b53-1cf7-45b5-b341-f2691468290d · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 82

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Observation 4b085d07-2fc6-4859-b4ba-899f260bc376 · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 83

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Observation b5f786a5-9fd0-4547-981e-deee4345beac · outbound

This paper cites Infinite Number of Order Parameters for Spin-Glasses.Phys.

Can AI Follow In Einstein's Footsteps? Infinite Number of Order Parameters for Spin-Glasses.Phys

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source=pdf_text observed=2026-08-01T01:19:20.554207Z digest=sha256:eaf0476d10d806f377d56b8c52fdf708a0e5ab4c61d58938bdce2f972f38ce36

Observation d6a30669-6687-4dd7-b83e-ee61d752bdf9 · outbound

This paper cites Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers.

Can AI Follow In Einstein's Footsteps? Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

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source=pdf_text observed=2026-08-01T01:19:20.557172Z digest=sha256:4c8dc79f80fbee7a1898c6e1e7d223a037243ba1bd257e8c34fef266c76a0c63

Observation 39b0205b-3527-4571-a8de-6de81a34e557 · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 86

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Observation 6213f7db-cbf9-457e-97d6-2a56423e1dce · outbound

This paper cites Remarks on the disproof of the unit distance conjecture.

Can AI Follow In Einstein's Footsteps? Remarks on the disproof of the unit distance conjecture

Reference 87

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source=pdf_text observed=2026-08-01T01:19:20.563085Z digest=sha256:93536272ce53d51f7aaa250f05bfc5df6a5ed330e0fb2e3350b1bfafb8c6ad99

Observation 11feb081-868b-4b94-b043-1897172b65eb · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 88

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source=pdf_text observed=2026-08-01T01:19:20.566346Z digest=sha256:bf5f049a3dfc357d37a27b6280ec153303e7466edc42d925071bdb1bea3b2178

Observation 5849a750-5efe-4a64-80a7-e9f1ebc61ba6 · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 89

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source=pdf_text observed=2026-08-01T01:19:20.569367Z digest=sha256:26eab0d98780d99e623258301ae2696c89c26e71bc8f1ea5d925d372e02c2192

Observation 19d9ebfa-d06c-4b3c-bb1b-bf1a18d1a315 · outbound

This paper cites Unsupervised Machine Learning for Experimental Detection of Quantum-Many- Body Phase TransitionsarXiv:2512.01091 [quant-ph](2025).

Can AI Follow In Einstein's Footsteps? Unsupervised Machine Learning for Experimental Detection of Quantum-Many- Body Phase TransitionsarXiv:2512.01091 [quant-ph](2025)

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Observation 59f7e37a-47af-4e10-a8a0-dfc3f277c71a · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 91

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Observation 7ff5a7dd-c4bf-4439-b6f8-d6f9d048e521 · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 92

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source=pdf_text observed=2026-08-01T01:19:20.578211Z digest=sha256:9cdbd79b11e1886f3090a2492d617777432f1e37c0e7a49cd20fc6d96c313446

Observation b4187030-c22a-4c07-95db-d66d011750f9 · outbound

This paper cites & Perdikaris, P.

Can AI Follow In Einstein's Footsteps? & Perdikaris, P

Reference 93

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source=pdf_text observed=2026-08-01T01:19:20.581289Z digest=sha256:1002e4f10a67528867fa4f42ff6f23aaff30a9e28497f6c12691269e16afd4d8

Observation 617c0342-95fc-409b-8a7b-fe1c99c35942 · outbound

This paper cites & Wang, J.-X.

Can AI Follow In Einstein's Footsteps? & Wang, J.-X

Reference 94

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source=pdf_text observed=2026-08-01T01:19:20.584112Z digest=sha256:cd9ced42131f4a30f4a0f5b68e6bc919120c26b61983d392363cdaf1bca28458

Observation a596eede-d6df-43e3-822e-3f05d81c691a · outbound

This paper cites & Solja ˇci´c, M.Learning simple heuristic rules for classifying materials based on chemical compositionarXiv:2505.02361 [cond-mat.mtrl-sci](2025).

Can AI Follow In Einstein's Footsteps? & Solja ˇci´c, M.Learning simple heuristic rules for classifying materials based on chemical compositionarXiv:2505.02361 [cond-mat.mtrl-sci](2025)

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source=pdf_text observed=2026-08-01T01:19:20.586845Z digest=sha256:b93903008f4affbdc5d706e11cdcf3ea668ed78a6d5db4f0d2553532dceee83c

Observation 6ce9ba0d-4606-4a83-9e22-0800688a99bb · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 96

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source=pdf_text observed=2026-08-01T01:19:20.589893Z digest=sha256:930f0c45a6ba21f2b10060b9ce21cd959b174a2ecde8c64d3e2fcaf24cd2f536

Observation c8e3c71a-b949-42c9-86c4-19443be89cb6 · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 97

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source=pdf_text observed=2026-08-01T01:19:20.592804Z digest=sha256:3f59fac037b729e75912336eb2f4788f55a4597754f34fc85e275ff7d625b902

Observation 9227982f-f64d-41eb-8711-2145e88dffba · outbound

This paper cites & Solja ˇci´c, M.Predicting band gap from chemical composition: A sim- ple learned model for a material property with atypical statisticsarXiv:2501.

Can AI Follow In Einstein's Footsteps? & Solja ˇci´c, M.Predicting band gap from chemical composition: A sim- ple learned model for a material property with atypical statisticsarXiv:2501

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source=pdf_text observed=2026-08-01T01:19:20.595859Z digest=sha256:2fab630dd1ab974d67eeb7be992313f32c877cb2e56ac49887b356e1bdf6b1b0

Observation 0f9ca2dc-f3df-487f-baea-b256bdb8cab4 · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 99

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source=pdf_text observed=2026-08-01T01:19:20.598725Z digest=sha256:071db2cc25e09860e187f0ae1ca9b41b95be183e384adc7e257b0e0c6aa8330e

Observation ba6ad7b6-c5bd-4d9a-9b8e-0705a243b95b · outbound

This paper cites an unresolved cited work.

Can AI Follow In Einstein's Footsteps? Unresolved cited work

Reference 100

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source=pdf_text observed=2026-08-01T01:19:20.601804Z digest=sha256:eb23a7ce4751018fa7ef1cb82702d4670d1394f1f22a30438a2db3bf264d0aee

Pith citing papers

No inbound Pith citation observations are available.