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Paper Citation Record · LEDGER

Learning in Infinitesimal Non-Compositional Sketches

As of 20 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.15107.

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

pith.paper-citation-record.v1
2607.15107 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T00:11:45.723002Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

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

measured 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

31 of 31 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved28
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 03852085-7e0d-4fe6-b4f1-e55ec9735b34 · outbound

This paper cites A final coalgebra theorem.

Learning in Infinitesimal Non-Compositional Sketches A final coalgebra theorem

Reference 1

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Observation 60d65e7d-5451-4654-bcdf-eced5326672a · outbound

This paper cites Locally Presentable and Accessible Categories, volume 189 of London Mathematical Society Lecture Note Series.

Learning in Infinitesimal Non-Compositional Sketches Locally Presentable and Accessible Categories, volume 189 of London Mathematical Society Lecture Note Series

Reference 2

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Observation 7ded3e1f-ac34-4b43-9cf9-5af46d49a4f0 · outbound

This paper cites Terminal coalgebras in well-founded set theory.

Learning in Infinitesimal Non-Compositional Sketches Terminal coalgebras in well-founded set theory

Reference 3

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source=arxiv_source observed=2026-08-02T00:11:45.605307Z digest=sha256:baadd57c6d819118af6a779cb66bc70264d7697e46edb12dbb3f76da5c506f25

Observation e2276f2c-926f-4cd9-8585-6f1a67826499 · outbound

This paper cites On the limitations of sketches.

Learning in Infinitesimal Non-Compositional Sketches On the limitations of sketches

Reference 4

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doi, observed 2026-08-02T00:14:06.829873Z

Source-reported events for the cited work

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

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Observation 4515a8fd-8126-4ef2-b08c-e593faa47669 · outbound

This paper cites Category Theory for Computing Science.

Learning in Infinitesimal Non-Compositional Sketches Category Theory for Computing Science

Reference 5

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Observation 5d9cd10b-4e9d-4f4e-89b3-5ca35f695666 · outbound

This paper cites an unresolved cited work.

Learning in Infinitesimal Non-Compositional Sketches Unresolved cited work

Reference 6

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source=arxiv_source observed=2026-08-02T00:11:45.618330Z digest=sha256:b370c266247dd3178c474b124d93aa99c98e96258fbec8346683c9434d41bd43

Observation 524de06b-9d10-44cf-82e1-ab19e0565af7 · outbound

This paper cites an unresolved cited work.

Learning in Infinitesimal Non-Compositional Sketches Unresolved cited work

Reference 7

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Observation a80380e8-7217-4671-b232-61592e8651d8 · outbound

This paper cites an unresolved cited work.

Learning in Infinitesimal Non-Compositional Sketches Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-08-02T00:11:45.627490Z digest=sha256:1038c67e4b74421cb5dedfa0c44dc6b52d6abcf3b561c9e4f25c9bb12a46ee89

Observation 05589c2e-7e4c-4d7c-8110-0765dbf449ff · outbound

This paper cites Esquisses et types des structures alg \'e briques.

Learning in Infinitesimal Non-Compositional Sketches Esquisses et types des structures alg \'e briques

Reference 9

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Observation f076aa7d-5144-4c8b-8592-59461d02f922 · outbound

This paper cites Backprop as functor: A compositional perspective on supervised learning.

Learning in Infinitesimal Non-Compositional Sketches Backprop as functor: A compositional perspective on supervised learning

Reference 10

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Observation 3a1a88fe-59fd-4ce1-afaf-b913334dad67 · outbound

This paper cites The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

Learning in Infinitesimal Non-Compositional Sketches The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Reference 11

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Observation 87b715c1-cdfd-4098-a52d-e9223e88880f · outbound

This paper cites Applications of metric coinduction.

Learning in Infinitesimal Non-Compositional Sketches Applications of metric coinduction

Reference 12

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

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Observation 695cc713-b229-4803-a672-91187e22a352 · outbound

This paper cites Classifying tangent structures using Weil algebras.

Learning in Infinitesimal Non-Compositional Sketches Classifying tangent structures using Weil algebras

Reference 13

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Observation 6651283c-f868-4078-9d90-dc771810fe9e · outbound

This paper cites The functorial semantics of Lie theory.

Learning in Infinitesimal Non-Compositional Sketches The functorial semantics of Lie theory

Reference 14

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Observation 3f886309-d523-419b-8775-2a3ed3b4e356 · outbound

This paper cites Universal causality.

Learning in Infinitesimal Non-Compositional Sketches Universal causality

Reference 15

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

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Observation f6487d6b-1f75-41f2-9ebb-1ddc63f34a55 · outbound

This paper cites Higher algebraic K -theory of causality.

Learning in Infinitesimal Non-Compositional Sketches Higher algebraic K -theory of causality

Reference 16

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Observation 241f7b71-f273-43b8-89f5-6c158b29f6b6 · outbound

This paper cites ALLORA : A Lie -algebraic LoRA method for composable neural adapters, 2026 a.

Learning in Infinitesimal Non-Compositional Sketches ALLORA : A Lie -algebraic LoRA method for composable neural adapters, 2026 a

Reference 17

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Observation af024231-ff9c-48eb-a72d-6b7da0a50cbd · outbound

This paper cites Latent Confounded Causal Discovery via Lie Bracket Geometry.

Learning in Infinitesimal Non-Compositional Sketches Latent Confounded Causal Discovery via Lie Bracket Geometry

Reference 18

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Observation 3c63fc5c-6d3c-45dc-98bc-64d0be14b94a · outbound

This paper cites Categories for AGI , 2026 c.

Learning in Infinitesimal Non-Compositional Sketches Categories for AGI , 2026 c

Reference 19

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Observation f863295c-b632-4769-ab29-c1fd8c9420dc · outbound

This paper cites Gradient infinitesimal reinforcement learning in tangent categories.

Learning in Infinitesimal Non-Compositional Sketches Gradient infinitesimal reinforcement learning in tangent categories

Reference 20

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Observation ff8dddf0-399e-45a8-b96d-3267bea574ba · outbound

This paper cites Infinitesimal Causality.

Learning in Infinitesimal Non-Compositional Sketches Infinitesimal Causality

Reference 21

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Observation b7c38cd7-4b33-479a-815e-c4c7bce4ed51 · outbound

This paper cites Kan Extension Transformers: A Categorical Unification of Attention, Diffusion, and Predict-Detach Self-Conditioning.

Learning in Infinitesimal Non-Compositional Sketches Kan Extension Transformers: A Categorical Unification of Attention, Diffusion, and Predict-Detach Self-Conditioning

Reference 22

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Observation 30a33502-d390-431c-a913-01341dad45ca · outbound

This paper cites Agentic Skill Optimization over Lie Algebroids.

Learning in Infinitesimal Non-Compositional Sketches Agentic Skill Optimization over Lie Algebroids

Reference 23

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Observation 240f946f-676c-4e75-9139-08e8eccb550a · outbound

This paper cites Universal Decision Learners.

Learning in Infinitesimal Non-Compositional Sketches Universal Decision Learners

Reference 24

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Observation 71de4578-6a33-4135-ab06-1af7908adf00 · outbound

This paper cites Accessible Categories: The Foundations of Categorical Model Theory, volume 104 of Contemporary Mathematics.

Learning in Infinitesimal Non-Compositional Sketches Accessible Categories: The Foundations of Categorical Model Theory, volume 104 of Contemporary Mathematics

Reference 25

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Observation f7305f6f-be69-4ff7-a657-35c5f6d9f028 · outbound

This paper cites an unresolved cited work.

Learning in Infinitesimal Non-Compositional Sketches Unresolved cited work

Reference 26

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Observation 0b4dd503-5a11-49f8-bfdf-e565ab3814f8 · outbound

This paper cites Abstract tangent functors.

Learning in Infinitesimal Non-Compositional Sketches Abstract tangent functors

Reference 27

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Observation 9fbbcef0-74ec-4029-8c8d-14f4ed60374e · outbound

This paper cites an unresolved cited work.

Learning in Infinitesimal Non-Compositional Sketches Unresolved cited work

Reference 28

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Observation 2679c1ae-7d5a-4195-b024-d4c64b787d85 · outbound

This paper cites an unresolved cited work.

Learning in Infinitesimal Non-Compositional Sketches Unresolved cited work

Reference 29

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Observation fc090e6e-c3be-4416-9e63-7190bbbdd1f3 · outbound

This paper cites Sutton and Andrew G.

Learning in Infinitesimal Non-Compositional Sketches Sutton and Andrew G

Reference 30

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Observation 53489d8c-82f8-47f6-9218-534905c26353 · outbound

This paper cites Automated Crossword Solving.

Learning in Infinitesimal Non-Compositional Sketches Automated Crossword Solving

Reference 31

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Pith citing papers

No inbound Pith citation observations are available.