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Paper Citation Record · LEDGER

Machine Learning Free Quotients of CICYs

As of 21 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 2026-08-21T06:32:19.484+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

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  • 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=sha256:37db8e49be4a784a2f897e40102dd2eea7c430e19ad87661f9a143b3fc6d900b

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=sha256:07780240a6c93f8fa23d53a4de780e98c869e6b01c35181819f4efd726806233

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:b1ac5dc91571cc87fc7c746ecce0c78d15a19fad18540af3910329c94520e20c

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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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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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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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=sha256:423d50d4742636cce73bdc2b7d079e99657876acfbf33d2be18fa4a670a3413b

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:b966e903956a87b33ee94dc72877a990c87ae241c542bf3baceb5370b5242851

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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source=pdf_text observed=2026-08-05T16:00:33.522584Z digest=sha256:8c7e770185a41fe6ff4f77967ed7e4818c7de1a4c5174c69b989ef78ba3ad838

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=sha256:1c9567e170916075decf01e2f0c205f556d0f9ce8b4465b861a0f347e02d26d7

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=sha256:84efe1da5842527e61bff373b13a2c48d4ba7b4b18e015cc4fad33e39a1f398f

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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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 2026-08-21T06:32:19.484+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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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T16:00:33.722869Z digest=sha256:515a91b18312b008c04b696e06b40da95b5f1900429432ddec21ddd2d3b126e9

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

Resolution
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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=sha256:2cfb280c89732d7196e5e68eaeeec2603f2c41c4e3168902a232bec55a99e43a

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:a411c540db241f89a84c4e221c6971f545f11f5db9494c25e27cd7e036d76af2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T16:00:33.745421Z digest=sha256:a1db505c3f9b613238a4860798ac950a40e7b8156b44837b6952e3c342bc26ae

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T16:00:33.754565Z digest=sha256:ba0cd45da6efac3928c3ac239d12b7b56f0ad862883521465993a421035efd48

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

Resolution
unresolved
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=sha256:387fb2d188dc6b21a185c6d4385637f65fc9df3c478f7effdd4b8d118a2f69de

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=sha256:603ba21f9d902720a9dcd834911007e2ef54843c07c63d589163689d1c7ddd97

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T16:00:33.788200Z digest=sha256:ff7f6d5f8bb315f67e1aa301af3f1446071f3f1bf96b331d18b90b89c2a514f7

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T16:00:33.795339Z digest=sha256:45d8ffab1eae223505440f329fd436b5d739f28f4bcc4a5ada07c552daf1e424

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:edafff47ac942da44b4bebdfee3ee8cd59eb92667f63a7f199a370625d1d9e18

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T16:00:33.815905Z digest=sha256:5bac0c239b6c1b273e82d1e7138e8fd8ceee2f9a5f3168df6dd7a55f5197b33b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T16:00:33.823077Z digest=sha256:6f72851948ef94108774704cfb00ceee9994d4a7ff18d297c01aedf48c1888b2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T16:00:33.845638Z digest=sha256:5ef1b4aa89e9894509b7b0e98c4024b505e46609e33ddfafbdf68b93f8d318c6

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
unresolved
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=sha256:93ca4c79f18a60d35defe222b8e1fbb638ad14cfb128ee646c6c01c4f7a97c3c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T16:00:33.859888Z digest=sha256:955c9f5c6b731dd1a08b5cdb344645cec39b3567ac164805b8c57f7c2db3e87e

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

Resolution
unresolved
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:a1d4a5fda2f9eb806020c1fe530bbf0d6d98fc12842fae3c8b05ac3841b5a0eb

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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verified exact
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-25T05:55:52.178306Z digest=sha256:540f91e18903ad1b30a11a7a35240ed91e5e6dd69e317f0d86de9c65aee1d66b