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Paper Citation Record · LEDGER

Towards a Comparative Framework for Compositional AI Models

As of 10 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2507.02940.

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

pith.paper-citation-record.v1
2507.02940 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:13:46.923917Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T02:42:26.173782Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z

Reference resolution

49 of 49 outbound references displayed

  • verified exact12
  • verified fuzzy7
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0ca7ef23-cdcd-4204-b2ed-60e8cd86f76e · outbound

This paper cites Alouneh, S.

Towards a Comparative Framework for Compositional AI Models Alouneh, S

Reference 1

Resolution
verified exact
doi, observed 2026-08-06T22:13:48.172997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 23e667fb-661d-4faf-822a-17126c37b837 · outbound

This paper cites GPT-4 Can't Reason.

Towards a Comparative Framework for Compositional AI Models GPT-4 Can't Reason

Reference 2

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no resolver link, observed 2026-08-06T22:13:41.094358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:41.094358Z digest=sha256:d7142f89e22135bf399ab36374bb071ed24d7fac32e13ff6d31f57976f73bf8f

Observation 56cc1743-a7e4-47a7-bd42-9e9626692041 · outbound

This paper cites Bakshy, L.

Towards a Comparative Framework for Compositional AI Models Bakshy, L

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c3258938-ca54-4899-ab4e-7dbe1aeedece · outbound

This paper cites Barendregt and H.

Towards a Comparative Framework for Compositional AI Models Barendregt and H

Reference 4

Resolution
verified exact
doi, observed 2026-08-06T22:13:47.956318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:13:41.423880Z digest=sha256:aa657b909dcedc4377a329bbdd4ff026ee3cb7314476223ec9ed673ea24ee62f

Observation db5de751-9695-42ac-82a0-5d6fe2a6bee7 · outbound

This paper cites an unresolved cited work.

Towards a Comparative Framework for Compositional AI Models Unresolved cited work

Reference 5

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no resolver link, observed 2026-08-06T22:13:41.584772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:41.584772Z digest=sha256:0389c74de5ed2f02d977deae85f3ada47bf1c569e8c48d69009c24351fd0fe7f

Observation 542acafe-930e-4738-acfe-1539d4bd1dae · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Towards a Comparative Framework for Compositional AI Models Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 6

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no resolver link, observed 2026-08-06T22:13:41.758407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:41.758407Z digest=sha256:58c4f4c639e9e16eeffce328f8eb0db6911ce11e35d26282322cff746b04e3f0

Observation 6092de1b-d493-4beb-9ee3-23ce83bec7cd · outbound

This paper cites an unresolved cited work.

Towards a Comparative Framework for Compositional AI Models Unresolved cited work

Reference 7

Resolution
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raw_fallback, observed 2026-08-06T22:13:52.313951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2f1a2b67-03c3-407e-a17b-020421a088a2 · outbound

This paper cites The Mathematics of Text Structure.

Towards a Comparative Framework for Compositional AI Models The Mathematics of Text Structure

Reference 8

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no resolver link, observed 2026-08-06T22:13:42.121130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:42.121130Z digest=sha256:9e493dbcde507fef907b2b217102c0b0ba7529035d412cc1b21f1ac3f009ff36

Observation 1a18c620-e629-401e-b3dd-20d81cf360bf · outbound

This paper cites Coecke and A.

Towards a Comparative Framework for Compositional AI Models Coecke and A

Reference 9

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no resolver link, observed 2026-08-06T22:13:42.236445Z

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source=arxiv_source observed=2026-08-06T22:13:42.236445Z digest=sha256:241b45cd6ed1673363f16e6c6c8c847797a01d86f88a3137aeab256abbf4e404

Observation e256b2b5-d8cb-4337-b172-4a903b759d68 · outbound

This paper cites Mathematical Foundations for a Compositional Distributional Model of Meaning.

Towards a Comparative Framework for Compositional AI Models Mathematical Foundations for a Compositional Distributional Model of Meaning

Reference 10

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T22:13:42.357017Z digest=sha256:a8123db0656ddcc7603b0745036e1e9ac01e6b9365890fd61b97cd481824a3a1

Observation b3a59d84-7722-4bd6-ac39-84c6692bd8ba · outbound

This paper cites Coecke, G.

Towards a Comparative Framework for Compositional AI Models Coecke, G

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 3d52b624-2970-405e-b3b8-b289cf2118e2 · outbound

This paper cites Scalable and interpretable quantum natural language processing: an implementation on trapped ions.

Towards a Comparative Framework for Compositional AI Models Scalable and interpretable quantum natural language processing: an implementation on trapped ions

Reference 12

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no resolver link, observed 2026-08-06T22:13:42.674199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:42.674199Z digest=sha256:18a6f7704d468287c854f86d514f3b2f26504b23e9152d2817ccf5ef4f461a53

Observation ac95a6a8-cb8a-4d61-b017-07805dad5ea7 · outbound

This paper cites Faith and Fate: Limits of Transformers on Compositionality.

Towards a Comparative Framework for Compositional AI Models Faith and Fate: Limits of Transformers on Compositionality

Reference 13

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no resolver link, observed 2026-08-06T22:13:42.810615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:42.810615Z digest=sha256:7edb80e9b9d0133ae0ed956de5b155be3ae5cd2c218f2213b5853affbd762ecc

Observation 0b71e735-5a2f-4e41-a49c-42dfb1c980a2 · outbound

This paper cites The Power of Depth for Feedforward Neural Networks.

Towards a Comparative Framework for Compositional AI Models The Power of Depth for Feedforward Neural Networks

Reference 14

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no resolver link, observed 2026-08-06T22:13:42.906301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:42.906301Z digest=sha256:d85dd69f55dec51744bbf4aab1416fde8def674f403e55b38ac015a6cafa01e9

Observation ed74426e-0f9c-405a-8328-239936c4036f · outbound

This paper cites Ax - adaptive experimentation platform.

Towards a Comparative Framework for Compositional AI Models Ax - adaptive experimentation platform

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7a249ecf-e068-425d-bf05-5bee0cb55359 · outbound

This paper cites Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models.

Towards a Comparative Framework for Compositional AI Models Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 0b7a8d68-84d2-484c-8c9e-303c0caf4621 · outbound

This paper cites an unresolved cited work.

Towards a Comparative Framework for Compositional AI Models Unresolved cited work

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b0c9b74f-b94a-4d1b-94ae-e50d9120ddf7 · outbound

This paper cites Glasser, R.

Towards a Comparative Framework for Compositional AI Models Glasser, R

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 0eafe997-b2d1-4dfa-a93e-079c481ccf3e · outbound

This paper cites an unresolved cited work.

Towards a Comparative Framework for Compositional AI Models Unresolved cited work

Reference 19

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 95d4bbd3-ac72-4c31-a93a-b74df2182d54 · outbound

This paper cites Compositionality decomposed: how do neural networks generalise?.

Towards a Comparative Framework for Compositional AI Models Compositionality decomposed: how do neural networks generalise?

Reference 20

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T22:13:43.728217Z digest=sha256:8bad93d949a582a587d8473e2e0836a47d6b55e66dc9c333e6bdbf161d401f7c

Observation c32d60e5-9bc2-435a-b27c-c29afda16fc3 · outbound

This paper cites Johnson and Journal of Philosophy, Inc.

Towards a Comparative Framework for Compositional AI Models Johnson and Journal of Philosophy, Inc

Reference 21

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 211eca5f-b9f5-4572-89e8-5c349143b81f · outbound

This paper cites lambeq: An Efficient High-Level Python Library for Quantum NLP.

Towards a Comparative Framework for Compositional AI Models lambeq: An Efficient High-Level Python Library for Quantum NLP

Reference 22

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no resolver link, observed 2026-08-06T22:13:44.004554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a6a5ba56-f29f-458c-86cc-144a56dfde6b · outbound

This paper cites Karttunen.

Towards a Comparative Framework for Compositional AI Models Karttunen

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 0d6bdeed-3fa6-40ae-9596-fc7a3a1a0823 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Towards a Comparative Framework for Compositional AI Models Adam: A Method for Stochastic Optimization

Reference 24

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source=arxiv_source observed=2026-08-06T22:13:44.204310Z digest=sha256:6ed412bea6f9b5e352f459c62bf9a216db7dcdb617deaec54058622c76b50cd7

Observation 86523b80-9819-4a9f-892b-4bf6f2f5c5d3 · outbound

This paper cites Efficient Generation of Parameterised Quantum Circuits from Large Texts.

Towards a Comparative Framework for Compositional AI Models Efficient Generation of Parameterised Quantum Circuits from Large Texts

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 9b058d9b-d14b-411a-978c-d9e7f32cccc3 · outbound

This paper cites Quantum Algorithms for Compositional Text Processing.

Towards a Comparative Framework for Compositional AI Models Quantum Algorithms for Compositional Text Processing

Reference 26

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Source-reported events for the cited work

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Observation dd5f57ac-7cc0-4837-8845-201c50e758fe · outbound

This paper cites an unresolved cited work.

Towards a Comparative Framework for Compositional AI Models Unresolved cited work

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c870c19e-7d7b-43b6-9ada-9466cc8d14ed · outbound

This paper cites Higher Operads, Higher Categories.

Towards a Comparative Framework for Compositional AI Models Higher Operads, Higher Categories

Reference 28

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verified exact
local_arxiv, observed 2026-08-06T22:13:49.629637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 90a466d0-2424-4493-904a-73624dc9354b · outbound

This paper cites A Pipeline For Discourse Circuits From CCG.

Towards a Comparative Framework for Compositional AI Models A Pipeline For Discourse Circuits From CCG

Reference 29

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local_arxiv, observed 2026-08-06T22:13:49.460415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:13:44.939951Z digest=sha256:2f58bd994567223c185fde59e7b3a6a84bed68e99fbd7d61d6665599d9d5deab

Observation 517ef66a-5f2c-4cf8-a8cf-9bcdc2cc678d · outbound

This paper cites Lorenz, A.

Towards a Comparative Framework for Compositional AI Models Lorenz, A

Reference 30

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no resolver link, observed 2026-08-06T22:13:45.063219Z

Source-reported events for the cited work

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Observation 05c8cf92-0786-4fe8-b7fe-8c180cbf703c · outbound

This paper cites GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.

Towards a Comparative Framework for Compositional AI Models GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Reference 31

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no resolver link, observed 2026-08-06T22:13:45.143654Z

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Observation 88ee1be9-dbec-43cf-b869-850c2a02dc57 · outbound

This paper cites GPT-4 Technical Report.

Towards a Comparative Framework for Compositional AI Models GPT-4 Technical Report

Reference 32

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no resolver link, observed 2026-08-06T22:13:45.246998Z

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Observation aba462df-d41b-488a-833b-08a8dcee8090 · outbound

This paper cites an unresolved cited work.

Towards a Comparative Framework for Compositional AI Models Unresolved cited work

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 917da7a9-5437-4af4-8330-4b6a6c8bc7e3 · outbound

This paper cites Paszke, S.

Towards a Comparative Framework for Compositional AI Models Paszke, S

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4dcff934-1b2d-431f-a80b-bc666980ba0c · outbound

This paper cites Pelletier.

Towards a Comparative Framework for Compositional AI Models Pelletier

Reference 35

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Observation 92dc14fc-d82e-4088-94b4-ff3e04c0e6a4 · outbound

This paper cites an unresolved cited work.

Towards a Comparative Framework for Compositional AI Models Unresolved cited work

Reference 36

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raw_fallback, observed 2026-08-06T22:13:48.976037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ba9d6994-0046-43bb-9638-2e9ef0aa68ac · outbound

This paper cites TensorNetwork: A Library for Physics and Machine Learning.

Towards a Comparative Framework for Compositional AI Models TensorNetwork: A Library for Physics and Machine Learning

Reference 37

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no resolver link, observed 2026-08-06T22:13:45.705495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:45.705495Z digest=sha256:65c22c6308349e7ce462ce601505262b5567233cb597977dd781398e8384514a

Observation 6a8b236b-26c7-4702-8292-76881992ae95 · outbound

This paper cites an unresolved cited work.

Towards a Comparative Framework for Compositional AI Models Unresolved cited work

Reference 38

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no resolver link, observed 2026-08-06T22:13:45.810700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Towards a Comparative Framework for Compositional AI Models A survey of graphical languages for monoidal categories

Reference 39

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Towards a Comparative Framework for Compositional AI Models Unresolved cited work

Reference 40

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This paper cites Fermionic Gaussian states: an introduction to numerical approaches.

Towards a Comparative Framework for Compositional AI Models Fermionic Gaussian states: an introduction to numerical approaches

Reference 41

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Towards a Comparative Framework for Compositional AI Models Unresolved cited work

Reference 42

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Towards a Comparative Framework for Compositional AI Models Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking

Reference 43

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Towards a Comparative Framework for Compositional AI Models LLaMA: Open and Efficient Foundation Language Models

Reference 44

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Towards a Comparative Framework for Compositional AI Models Towards Compositional Interpretability for XAI

Reference 45

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Towards a Comparative Framework for Compositional AI Models Vilone and L

Reference 46

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Towards a Comparative Framework for Compositional AI Models Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

Reference 47

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Towards a Comparative Framework for Compositional AI Models Yahya, K

Reference 48

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Towards a Comparative Framework for Compositional AI Models Zeng and B

Reference 49

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Pith citing papers

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From Mechanistic to Compositional Interpretability Towards a Comparative Framework for Compositional AI Models

Reference 26

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