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Paper Citation Record · LEDGER

Machine Learning Free Quotients of CICYs

As of 6 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2508.19157.

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

pith.paper-citation-record.v1
2508.19157 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:00:33.859888Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T05:55:52.178306Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:56:40.207440Z

Reference resolution

53 of 53 outbound references displayed

  • verified exact10
  • verified fuzzy7
  • unresolved36
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 882dfa02-3c98-42ec-8990-6777cbecf577 · outbound

This paper cites Vacuum configurations for superstrings,.

Machine Learning Free Quotients of CICYs Vacuum configurations for superstrings,

Reference 1

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Observation a268d8ba-6c8e-46a2-8f8f-6e9121bf510e · outbound

This paper cites Flux compactifications in string theory: a comprehensive review.

Machine Learning Free Quotients of CICYs Flux compactifications in string theory: a comprehensive review

Reference 2

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source=pdf_text observed=2026-08-05T16:00:33.456593Z digest=sha256:829de4a1ce25f6100abf8026d45457fef12e4056cbc077774e7110d2e6af0c59

Observation 687e9218-73c5-462b-83cc-b5a426dfecd7 · outbound

This paper cites Flux Compactification.

Machine Learning Free Quotients of CICYs Flux Compactification

Reference 3

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source=pdf_text observed=2026-08-05T16:00:33.464576Z digest=sha256:c823eaebfda67ac823c3564aed102b2e7c4b6fcb8f2ba2b9961ed14e536b54d2

Observation 2b94ee8a-0830-4b87-8c98-e787234a0c20 · outbound

This paper cites On Classifying the Divisor Involutions in Calabi-Yau Threefolds.

Machine Learning Free Quotients of CICYs On Classifying the Divisor Involutions in Calabi-Yau Threefolds

Reference 4

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source=pdf_text observed=2026-08-05T16:00:33.476934Z digest=sha256:d0c65de489e4e8921ae0a82506545c71778bcd5eda6d888a256c660e45e1c391

Observation e1fbe60a-e494-47c3-b038-2eaf01ad5d68 · outbound

This paper cites Orientifold Calabi-Yau Threefolds with Divisor Involutions and String Landscape.

Machine Learning Free Quotients of CICYs Orientifold Calabi-Yau Threefolds with Divisor Involutions and String Landscape

Reference 5

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source=pdf_text observed=2026-08-05T16:00:33.485465Z digest=sha256:cb4837639be4e6cc0dccf0e3d633998260c8a6d709f1dd485850f066df54ae1d

Observation a2f31136-f6fc-48db-881e-da25ea4c028b · outbound

This paper cites Complete classification of reflexive polyhedra in four dimensions.

Machine Learning Free Quotients of CICYs Complete classification of reflexive polyhedra in four dimensions

Reference 6

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source=pdf_text observed=2026-08-05T16:00:33.491717Z digest=sha256:f037ff155eb573e61952ca206240c07c1f6bfc7f2d689d1b1550b9d4f5a38681

Observation ca49e175-648c-4d41-af27-a4ef3af81891 · outbound

This paper cites A Calabi-Yau Database: Threefolds Constructed from the Kreuzer-Skarke List.

Machine Learning Free Quotients of CICYs A Calabi-Yau Database: Threefolds Constructed from the Kreuzer-Skarke List

Reference 7

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source=pdf_text observed=2026-08-05T16:00:33.499409Z digest=sha256:239acf5585891f1073afad1411d6accf785983168b4f1669421510218c9b98c1

Observation 0fd98c9b-4e1e-4b43-975e-7f8e323c4308 · outbound

This paper cites A Database of Calabi-Yau Orientifolds and the Size of D3-Tadpoles.

Machine Learning Free Quotients of CICYs A Database of Calabi-Yau Orientifolds and the Size of D3-Tadpoles

Reference 8

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source=pdf_text observed=2026-08-05T16:00:33.508304Z digest=sha256:e68f1bc5a56b7f50b87b7c74a80539afda39b63a98040775d85c9601c47284f2

Observation 8662b535-ee99-4653-b105-fc451e798ac8 · outbound

This paper cites Orientifold Calabi-Yau Threefolds: Divisor Exchanges and Multi-Reflections.

Machine Learning Free Quotients of CICYs Orientifold Calabi-Yau Threefolds: Divisor Exchanges and Multi-Reflections

Reference 9

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source=pdf_text observed=2026-08-05T16:00:33.516269Z digest=sha256:2bc4ce2402126c1e064b96e47dc21f2c21ecbcc3802f8a89605096f894633e98

Observation a8a63f94-e901-4f73-8fb0-f62a38668fcc · outbound

This paper cites Discrete Symmetries of Calabi-Yau Hypersurfaces in Toric Four-Folds.

Machine Learning Free Quotients of CICYs Discrete Symmetries of Calabi-Yau Hypersurfaces in Toric Four-Folds

Reference 10

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Observation 90290780-02c4-4b5a-8d47-fcf56fcd7785 · outbound

This paper cites Complete Intersection Calabi-Yau Manifolds,.

Machine Learning Free Quotients of CICYs Complete Intersection Calabi-Yau Manifolds,

Reference 11

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Observation 9428635f-7ea4-4c84-8476-48af65e398e2 · outbound

This paper cites On Free Quotients of Complete Intersection Calabi-Yau Manifolds.

Machine Learning Free Quotients of CICYs On Free Quotients of Complete Intersection Calabi-Yau Manifolds

Reference 12

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Observation a2970c29-ce33-495d-9786-fe12e6307530 · outbound

This paper cites Free Quotients of Favorable Calabi-Yau Manifolds.

Machine Learning Free Quotients of CICYs Free Quotients of Favorable Calabi-Yau Manifolds

Reference 13

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source=pdf_text observed=2026-08-05T16:00:33.539929Z digest=sha256:c0a8b3aacd829df3710463840659784cad888ce62803edea6fe0bff91d9d7738

Observation 3db4f79c-efcb-44f3-bd6d-f101309e05ad · outbound

This paper cites Fibrations in CICY Threefolds.

Machine Learning Free Quotients of CICYs Fibrations in CICY Threefolds

Reference 14

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source=pdf_text observed=2026-08-05T16:00:33.546317Z digest=sha256:3926a9f9db5149b63fa6a46b91a07c4176e2b2c7bc69e95387c5a1b86bc95b20

Observation 042c6d89-d1e1-43e7-8257-6c2a5fb83c01 · outbound

This paper cites Hodge Numbers for CICYs with Symmetries of Order Divisible by 4.

Machine Learning Free Quotients of CICYs Hodge Numbers for CICYs with Symmetries of Order Divisible by 4

Reference 15

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source=pdf_text observed=2026-08-05T16:00:33.553698Z digest=sha256:8b6ccee0ca2b21787f947f3a7e22978ee3524b11fceef7c41505c8f3da2ddbce

Observation f9a84444-5b6a-4525-9e7a-15c5ea142bca · outbound

This paper cites Hodge Numbers for All CICY Quotients.

Machine Learning Free Quotients of CICYs Hodge Numbers for All CICY Quotients

Reference 16

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Observation d46b295b-d6e6-46e8-9d61-fbc23ddc1861 · outbound

This paper cites A landscape of orientifold vacua.

Machine Learning Free Quotients of CICYs A landscape of orientifold vacua

Reference 17

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Observation 8cca61fe-4073-4791-ad91-cf83471913d2 · outbound

This paper cites Applying machine learning to the Calabi-Yau orientifolds with string vacua.

Machine Learning Free Quotients of CICYs Applying machine learning to the Calabi-Yau orientifolds with string vacua

Reference 18

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Observation cc6e9d5a-06cb-46d4-b1bb-1ca5c4d69c6b · outbound

This paper cites Estimating Calabi-Yau Hypersurface and Triangulation Counts with Equation Learners.

Machine Learning Free Quotients of CICYs Estimating Calabi-Yau Hypersurface and Triangulation Counts with Equation Learners

Reference 19

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Observation 168b1ae5-1cd6-4ff3-ac66-9b74386f1295 · outbound

This paper cites Bounding the Kreuzer-Skarke Landscape.

Machine Learning Free Quotients of CICYs Bounding the Kreuzer-Skarke Landscape

Reference 20

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Observation c750e494-87fb-4bb5-ad6f-52bb7c6c171b · outbound

This paper cites Polytopes and Machine Learning.

Machine Learning Free Quotients of CICYs Polytopes and Machine Learning

Reference 21

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Observation e9d1d017-265f-4ecc-8560-1e656e3aeadd · outbound

This paper cites Machine Learning Calabi-Yau Hypersurfaces.

Machine Learning Free Quotients of CICYs Machine Learning Calabi-Yau Hypersurfaces

Reference 22

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

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Observation 36b555f1-a081-4f54-81b1-f966a2faf2fd · outbound

This paper cites Generating Triangulations and Fibrations with Reinforcement Learning.

Machine Learning Free Quotients of CICYs Generating Triangulations and Fibrations with Reinforcement Learning

Reference 23

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Observation 7ed367eb-0d71-4f83-b4b0-5a519bb80de0 · outbound

This paper cites Machine Learning CICY Threefolds.

Machine Learning Free Quotients of CICYs Machine Learning CICY Threefolds

Reference 24

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Observation 669b03ef-8098-487b-a2d7-e72131674e4e · outbound

This paper cites The Calabi-Yau Landscape: from Geometry, to Physics, to Machine-Learning.

Machine Learning Free Quotients of CICYs The Calabi-Yau Landscape: from Geometry, to Physics, to Machine-Learning

Reference 25

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Observation 15e91807-97d9-4163-9ae7-005f2b5ffe42 · outbound

This paper cites Machine Learning Calabi-Yau Four-folds.

Machine Learning Free Quotients of CICYs Machine Learning Calabi-Yau Four-folds

Reference 26

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Observation b91b02d7-68bb-4fed-9c30-0b3b3822ef58 · outbound

This paper cites Machine learning for complete intersection Calabi-Yau manifolds: a methodological study.

Machine Learning Free Quotients of CICYs Machine learning for complete intersection Calabi-Yau manifolds: a methodological study

Reference 27

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Observation 7aa94854-17b9-4d41-ac64-151b4eaeed24 · outbound

This paper cites Machine learning complete intersection Calabi-Yau 3-folds.

Machine Learning Free Quotients of CICYs Machine learning complete intersection Calabi-Yau 3-folds

Reference 28

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Observation 2f6b5735-49eb-4df0-99c2-24a9692d3038 · outbound

This paper cites Distinguishing Calabi-Yau Topology using Machine Learning,.

Machine Learning Free Quotients of CICYs Distinguishing Calabi-Yau Topology using Machine Learning,

Reference 29

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Observation 2a211e83-d8be-43a2-87b3-b74bcdffb42f · outbound

This paper cites Moduli-dependent Calabi-Yau and SU(3)-structure metrics from Machine Learning.

Machine Learning Free Quotients of CICYs Moduli-dependent Calabi-Yau and SU(3)-structure metrics from Machine Learning

Reference 30

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Observation a7743d7a-604f-4484-9374-1b909f35b5d8 · outbound

This paper cites Neural Network Approximations for Calabi-Yau Metrics.

Machine Learning Free Quotients of CICYs Neural Network Approximations for Calabi-Yau Metrics

Reference 31

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Observation b39d9f6f-0837-4afe-a739-121e1f87372c · outbound

This paper cites Numerical Calabi-Yau metrics from holomorphic networks.

Machine Learning Free Quotients of CICYs Numerical Calabi-Yau metrics from holomorphic networks

Reference 32

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Observation 752d3a6b-3b04-4ce9-b3e9-11e3bd543924 · outbound

This paper cites Learning Size and Shape of Calabi-Yau Spaces.

Machine Learning Free Quotients of CICYs Learning Size and Shape of Calabi-Yau Spaces

Reference 33

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Observation 6e85c712-5006-44c4-91e3-7997289fb00e · outbound

This paper cites Machine Learned Calabi-Yau Metrics and Curvature.

Machine Learning Free Quotients of CICYs Machine Learned Calabi-Yau Metrics and Curvature

Reference 34

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Observation e7edd622-6645-456f-a073-64b66ddc6f96 · outbound

This paper cites Machine Learning Line Bundle Cohomologies of Hypersurfaces in Toric Varieties.

Machine Learning Free Quotients of CICYs Machine Learning Line Bundle Cohomologies of Hypersurfaces in Toric Varieties

Reference 35

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Observation 63ecb044-ba15-4017-8cc7-af1c4e105531 · outbound

This paper cites Machine Learning Line Bundle Cohomology.

Machine Learning Free Quotients of CICYs Machine Learning Line Bundle Cohomology

Reference 36

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Observation 9d557090-963f-47cc-a7ae-43f681135b24 · outbound

This paper cites A New Construction of Calabi-Yau Manifolds: Generalized CICYs.

Machine Learning Free Quotients of CICYs A New Construction of Calabi-Yau Manifolds: Generalized CICYs

Reference 37

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source=pdf_text observed=2026-08-05T16:00:33.715010Z digest=sha256:76dd0eae70c84dfb46a47000f528539987edbe383236a71560110c38bb8a1b6f

Observation 2b1d1330-1f8b-41f2-b74f-46df223fbf06 · outbound

This paper cites Machine Learning on generalized Complete Intersection Calabi-Yau Manifolds.

Machine Learning Free Quotients of CICYs Machine Learning on generalized Complete Intersection Calabi-Yau Manifolds

Reference 38

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verified exact
local_arxiv, observed 2026-08-05T16:00:34.507349Z

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

source=pdf_text observed=2026-08-05T16:00:33.722869Z digest=sha256:f763e9c88dab623337ef001b56e865248241e13911bc32477da71ca23771a7bd

Observation c895ed91-a27b-4214-90c1-6dcea5a401a6 · outbound

This paper cites Machine learning Sasakian and $G_2$ topology on contact Calabi-Yau $7$-manifolds.

Machine Learning Free Quotients of CICYs Machine learning Sasakian and $G_2$ topology on contact Calabi-Yau $7$-manifolds

Reference 39

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no resolver link, observed 2026-08-05T16:00:33.730644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:00:33.730644Z digest=sha256:9d082e40f28cf1a2d270ea7d20a05b27f0bf7541baac7894675ac7272f224d90

Observation 0e3f8905-59d7-410b-b678-fc619a70860b · outbound

This paper cites Constructing and Machine Learning Calabi-Yau Five-folds.

Machine Learning Free Quotients of CICYs Constructing and Machine Learning Calabi-Yau Five-folds

Reference 40

Resolution
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no resolver link, observed 2026-08-05T16:00:33.737008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:00:33.737008Z digest=sha256:81ff86514affea97947eee1d9714ae6837d3d884ce3489d5ab6bbde8b06c10a6

Observation 1272bb35-1fef-4048-9ad3-69af77efb401 · outbound

This paper cites Calabi-Yau Four/Five/Six-folds as $\mathbb{P}^n_\textbf{w}$ Hypersurfaces: Machine Learning, Approximation, and Generation.

Machine Learning Free Quotients of CICYs Calabi-Yau Four/Five/Six-folds as $\mathbb{P}^n_\textbf{w}$ Hypersurfaces: Machine Learning, Approximation, and Generation

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:00:34.403880Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T16:00:33.745421Z digest=sha256:46a8676d731a26dc38c2817d429bbf575b74c39576c2bd6a7ca9a85db8028661

Observation 2dd1aa1b-705a-401f-b723-489a9a72134c · outbound

This paper cites Machine Learning Calabi-Yau Three-Folds, Four-Folds, and Five-Folds,.

Machine Learning Free Quotients of CICYs Machine Learning Calabi-Yau Three-Folds, Four-Folds, and Five-Folds,

Reference 42

Resolution
verified exact
raw_fallback, observed 2026-08-05T16:00:34.357672Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T16:00:33.754565Z digest=sha256:6dad78567c01b46eb333b6be842d7e0fbc14c30a75e86cf1422becfd44c9a3f0

Observation 46978773-26c6-4e6e-a3b5-750dd89e6ada · outbound

This paper cites Attention Is All You Need.

Machine Learning Free Quotients of CICYs Attention Is All You Need

Reference 43

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no resolver link, observed 2026-08-05T16:00:33.763548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:00:33.763548Z digest=sha256:1261e340ccacd2fcbc5a1ef791e93338e64ab06d8eb73257929efbe161142453

Observation d85782d1-063a-43e2-9434-a2cee1399bcd · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Machine Learning Free Quotients of CICYs Gemini: A Family of Highly Capable Multimodal Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T16:00:33.776047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:00:33.776047Z digest=sha256:09aa8cd7039a40cc7264053b5169e35aaa1f37fb1af2c8bd80e4f9b025095359

Observation 2c83f7de-1b7a-479a-92d8-6620dcb6f6cc · outbound

This paper cites Team, “Gemini,” 2025.

Machine Learning Free Quotients of CICYs Team, “Gemini,” 2025

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:00:36.048773Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T16:00:33.788200Z digest=sha256:e13402d750ca77f38b6f152280a5f1fbe062d15a48cb8b42ec4eee5cfc4f2c88

Observation af16df06-2e1d-48a4-8d28-240c6a6935ee · outbound

This paper cites Claude sonnet 4,.

Machine Learning Free Quotients of CICYs Claude sonnet 4,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:00:36.017997Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T16:00:33.795339Z digest=sha256:0e6cd27c1cbdfc38d21b69d85f4cf68b31103b4b1723252e5608be5c65299ecc

Observation b622ef6e-c2d5-40aa-80a3-6adbe1953be8 · outbound

This paper cites DeepSeek-V3 Technical Report.

Machine Learning Free Quotients of CICYs DeepSeek-V3 Technical Report

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T16:00:33.801906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:00:33.801906Z digest=sha256:124639b7a7dbfc5ef6bc87ac1c2b6434ae08a8c800fda70d4e4dc861ffcb756e

Observation 4b724f1c-c2c1-41eb-9fe7-f8155d14d8f2 · outbound

This paper cites Deepseek,.

Machine Learning Free Quotients of CICYs Deepseek,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:00:35.990994Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T16:00:33.815905Z digest=sha256:311e885dce182fcc5799efe4deae2cc3beefd5ae521c0671cc26f1269151fde0

Observation 009c0680-ac1e-49c0-8023-7d854c6a0254 · outbound

This paper cites Chatgpt: Applications, opportunities, and threats,.

Machine Learning Free Quotients of CICYs Chatgpt: Applications, opportunities, and threats,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:00:35.968142Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T16:00:33.823077Z digest=sha256:853fe24e13c90734ee77f07e55da74f2b43bf29e4ad5d7ac7432428788a23f49

Observation ea52a953-30ca-4265-9801-c4e43243b213 · outbound

This paper cites Chatgpt,.

Machine Learning Free Quotients of CICYs Chatgpt,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:00:35.933620Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T16:00:33.845638Z digest=sha256:095470df44dfbd4b509dfaaca597079f48384676fde1ea1ac53b4e3ba35ae639

Observation 329fdf59-13de-4687-8f7d-2246b119abee · outbound

This paper cites A Practical Introduction to Tensor Networks: Matrix Product States and Projected Entangled Pair States.

Machine Learning Free Quotients of CICYs A Practical Introduction to Tensor Networks: Matrix Product States and Projected Entangled Pair States

Reference 51

Resolution
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no resolver link, observed 2026-08-05T16:00:33.853016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:00:33.853016Z digest=sha256:14ed6f9d420c9f4a51f56ff1f5650337a04ca6008aca7d89fc0dcd306a9ff252

Observation cf239ea1-cd9c-41b5-a40b-c3b7182cb268 · outbound

This paper cites Tensor networks for quantum machine learning.

Machine Learning Free Quotients of CICYs Tensor networks for quantum machine learning

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:00:33.959601Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T16:00:33.859888Z digest=sha256:a808c5a61bbe84052692ad19f73db771afff9f8a51c379071088116fa99a3ab4

Observation 99f74f85-5d0f-4d28-ab1a-a2ac4b429d65 · outbound

This paper cites ChatGPT: Applications, Opportunities, and Threats.

Machine Learning Free Quotients of CICYs ChatGPT: Applications, Opportunities, and Threats

Reference 2023

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no resolver link, observed 2026-08-05T16:00:33.837214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:00:33.837214Z digest=sha256:0300ee8a4620b464ad505aa8510e187824e0d38224531e795b359ec16bfeec52

Pith citing papers

Observation d4d5ccb0-6851-41e3-a778-8b228184c646 · inbound

Constraining Black Hole Parameters in Non-Commutative Geometry using Machine Learning cites this paper.

Constraining Black Hole Parameters in Non-Commutative Geometry using Machine Learning Machine Learning Free Quotients of CICYs

Reference 81

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arxiv_id, observed 2026-05-25T05:56:40.210290Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-25T05:55:52.178306Z digest=sha256:b092a2e51f22978a500fd586be60457e108b4dd153ec71653df4896577cee7af