Pith. sign in

Paper Citation Record · LEDGER

Towards a Comparative Framework for Compositional AI Models

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:13:40.932323Z digest=sha256:a8a0fa1bec75d66aba201abbff2a8e31eecf0fb549b40d08e863740c4ec93652

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

Resolution
unresolved
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=sha256:0a4a1f7edfb56b5144c1b53fc30683d0b1b546114edd33c55753bca5fd444b31

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

This paper cites Bakshy, L.

Towards a Comparative Framework for Compositional AI Models Bakshy, L

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:13:52.516155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:13:41.285880Z digest=sha256:3205bd004086904f51f1dae14fb7cfbb67f235c5b85f904917c40a82fdae7916

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:13:41.423880Z digest=sha256:0c4aab7d705a58b483fcfe22196d70be7f6fd497dd34d53ac2b2f6e5bfb3d997

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

Resolution
unresolved
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=sha256:9ea1b18bee4d47ab3935bbe19322c3b093ee29cab443e2c2765f55f7446c3993

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

Resolution
unresolved
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=sha256:628d87e6ee8551fbc1a1506d3792596ef03a1df8f8f1da4210f06ba92ca5d3ee

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
unresolved
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:13:41.924997Z digest=sha256:3f08321e6c36d6ae049495266a0ee2f6beaeef08980b9ac29d3f1a74c16b83c6

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

Resolution
unresolved
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=sha256:02246c242b18b82d63c3f867779a35c83a7af3009537db12ad3a27a0fe569214

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:42.236445Z digest=sha256:9279cf41ad4e384ae3424ee25e6e135e0d36a206db96c558f0ebb687b696964c

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:13:42.357017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:42.357017Z digest=sha256:beca634c318642768ca7fdc78fc16ce746596c0f841d22758eaf1c00e5efb38d

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

This paper cites Coecke, G.

Towards a Comparative Framework for Compositional AI Models Coecke, G

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:13:52.076605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:13:42.545367Z digest=sha256:dcbf1bc84093674a9224499100307b4e97e7f1be2b975428673e51c90a583de9

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

Resolution
unresolved
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:fa487e3c7457e8f7d972b5191ad47af9ade83e55f2fc4b283a8221df93214c2e

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

Resolution
unresolved
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=sha256:6aac1c7ce77d23fbad0550f89f63cc5ac38777eb2e58afaf062395c5710d5db5

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

Resolution
unresolved
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:df5d7ed4ef29b4785009e9fdcdc1fcbcb432929cb766b61fe8550a0fd7f9bb5d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:13:51.878870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:13:42.997301Z digest=sha256:5a55941e44b188abe28635af47328916847c89e5b3c31f874b561c9acdf5bcb8

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

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:13:47.767856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:13:43.127018Z digest=sha256:7538cc14a88b77301f1f99822f28b7f1b8b743f4ecec84375288fbfb6f6094e9

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:13:43.235493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:43.235493Z digest=sha256:96411aa286228d96c0ff1b03c8ae2ca5007aea3c13868d2ab4f016007f2cad70

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

This paper cites Glasser, R.

Towards a Comparative Framework for Compositional AI Models Glasser, R

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:13:51.707128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:13:43.379913Z digest=sha256:0dc628e515c1eaa39be59ba75046d5815393a63d87a63c176eebb620aa7ef0a1

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
raw_fallback, observed 2026-08-06T22:13:50.250578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:13:43.599166Z digest=sha256:ebc147e1a3d2ee26b4e9f2e11bb706593156ef18b81ab13104e34404a09d79d3

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:13:43.728217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:43.728217Z digest=sha256:f01a184ad52c0355fb93ded1238c315a2c1bff88812fd1f13535645a318fe8e6

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

Resolution
verified exact
doi, observed 2026-08-06T22:13:47.558535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:13:43.867833Z digest=sha256:109c26d5562af417400cf4576a1246b2a340b427dfacf00c2b0ab370961a6c8b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:44.004554Z digest=sha256:c6fa604e1c8b80d2e1b0bedbcee2349b2ed123c0368d9a61833e5fbd9fbc067c

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

This paper cites Karttunen.

Towards a Comparative Framework for Compositional AI Models Karttunen

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:13:51.344773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:13:44.106995Z digest=sha256:695261cddf7794aef7e1438ec00e84cbf7da897cc90f64bf1afa42645fbc551f

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:13:44.204310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:44.204310Z digest=sha256:5dd9637b837bcc950621d82a73ae4e38f43a36698b1409c04b2a8999e861be8d

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

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:13:49.820203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:13:44.335223Z digest=sha256:69ebd4f867d0fbe0e08af3dcbd5b86455e4d2d05e44fbdcd116193f386c023f4

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:13:44.477170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:44.477170Z digest=sha256:5f9701c0189635e90659f3d69270d0e4535bbc4c21dd0b08e62317833d854484

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

Resolution
verified exact
doi, observed 2026-08-06T22:13:47.366804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:13:44.660245Z digest=sha256:a2a8618f1c1c9e58d552239fcabe4c73dcb62164c5e5c2a6f520df8907581e5d

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:13:44.805742Z digest=sha256:79db9af896f2cc6bea4d5d64c36791959b64d41fb0402942b8f5675dafc91b86

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:13:44.939951Z digest=sha256:a0b0711d2cdc1c07222fab3adfd2ed264d7da8b709743cd1960417f1a3ba174a

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

This paper cites Lorenz, A.

Towards a Comparative Framework for Compositional AI Models Lorenz, A

Reference 30

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:45.063219Z digest=sha256:a833f2f2def5acbb0003c54759c416c6fdb210ea045d586ce0f8c27c12001e64

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:45.143654Z digest=sha256:af719ea25b43cff455ba81ec24cb62b5c5309b098bdc20acf4485f8512f7cdb7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:45.246998Z digest=sha256:5353c1dee028af1ee98f9ce8dcd4257d835ab8eb2a2d25657df638bdc9b71a3c

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

Resolution
verified exact
raw_fallback, observed 2026-08-06T22:13:49.284774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:13:45.387867Z digest=sha256:b855be750eef123896eadfc1abdba801f6a761cccf50e9abf0d182138e7d650e

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

This paper cites Paszke, S.

Towards a Comparative Framework for Compositional AI Models Paszke, S

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:13:51.056498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:13:45.477963Z digest=sha256:6332c59aaeac4a9cd4ae51eaa1b1868759a28ee604e15ff41f372538ed20c6bb

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

This paper cites Pelletier.

Towards a Comparative Framework for Compositional AI Models Pelletier

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T22:13:45.563825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:45.563825Z digest=sha256:21db108d07bbc6a702aa0422e5f9efc8ed2c9b01ae6640e41123e55829f4c8bc

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

Resolution
metadata mismatch
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:13:45.638375Z digest=sha256:eb0787bad1b2ef1d715976dcd0a73d168e689f8c87a5d72aba06c02fd1cfb808

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

Resolution
unresolved
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=sha256:077aadefcc37d46ccb149267c9eea2d5bc0c98b4473fe7d87616eb6da6044df3

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:45.810700Z digest=sha256:6be53b55759fa465622080cac11410b8fda863fd7b0bb4e1eb07bf82fc57270a

Observation 665860a4-62b2-438f-83fb-919cb8e46fb9 · outbound

This paper cites A survey of graphical languages for monoidal categories.

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

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T22:13:45.884923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:45.884923Z digest=sha256:54e3b82f58abf1de8508e4df570aec4baf282970b436af5241909954efb62f35

Observation bd689e6c-5ef1-4a47-90d9-2e0a192fe863 · outbound

This paper cites an unresolved cited work.

Towards a Comparative Framework for Compositional AI Models Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T22:13:45.979890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:45.979890Z digest=sha256:d87f11d6fcee65f1ecac3284a340df9170e5528fa1b0d57462e1c8941276724d

Observation f8d53c6c-9972-4c37-bbac-f3fb21aa4f64 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:13:46.061458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:46.061458Z digest=sha256:2d15db722d1e4744598f66d80803688b44282bdad7c8320b2a49d35869e0a888

Observation 8660e047-3c3d-440f-99a5-ddef331cc6dd · outbound

This paper cites an unresolved cited work.

Towards a Comparative Framework for Compositional AI Models Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T22:13:46.139841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:46.139841Z digest=sha256:3f990b5affb55ad2bd234842e14a2071b03fbbf744c3fdeaa96f792a1182b3fa

Observation 6e37d05b-44a1-4917-a99c-27658d35c6e7 · outbound

This paper cites Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking.

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

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:13:48.521998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:13:46.258937Z digest=sha256:f08f779d85ea75ab075c9e90c873db53e63e4035a2ece9840e21eaeef9e1c529

Observation 7d817ab5-e17b-4617-bb75-84a4c9c68cdc · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

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

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T22:13:46.333077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:46.333077Z digest=sha256:f4c350857b250b060d06a307a805f4571a71be45d85f699b757ae58c036d31af

Observation d551dde1-f93b-4608-ad1c-1f3230c9a7ee · outbound

This paper cites Towards Compositional Interpretability for XAI.

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

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T22:13:46.480784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:46.480784Z digest=sha256:b8d418d0667b1419f94a1b97a3685ba82b31c7c5d247613196c58ff723791dc8

Observation fc70296d-81fd-4e7c-b864-bd08c13a4fa2 · outbound

This paper cites Vilone and L.

Towards a Comparative Framework for Compositional AI Models Vilone and L

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T22:13:46.582659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:46.582659Z digest=sha256:ba9221683141ae5c0e5c6421a2e107aea9fdb109ea4dfe75b4ec325ccd5f326a

Observation 895b1b17-e820-4abb-acd5-9a926c060ae7 · outbound

This paper cites Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks.

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

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T22:13:46.697700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:46.697700Z digest=sha256:d18c13063dbb1471b97add1639d6471a5ccb7af3770bc3c2de36389d3baa8b15

Observation 558c2f17-5366-482d-afad-10030d6111d6 · outbound

This paper cites Yahya, K.

Towards a Comparative Framework for Compositional AI Models Yahya, K

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:13:50.701053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:13:46.806869Z digest=sha256:8d94a42a744f0b6ad06da2ede5e695f127d7e126721049a8f849b2edec400b74

Observation 4d8ec60e-b957-4bf2-b362-60172695868e · outbound

This paper cites Zeng and B.

Towards a Comparative Framework for Compositional AI Models Zeng and B

Reference 49

Resolution
verified exact
doi, observed 2026-08-06T22:13:47.104343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:13:46.923917Z digest=sha256:f7e1212e3fddd91565548b2d15b65b6138bed96668bb310027d205bd6af274b9

Pith citing papers

Observation 97253aec-438d-4ae0-8a51-77cc4984e6da · inbound

From Mechanistic to Compositional Interpretability cites this paper.

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

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:46:18.235980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T02:42:26.173782Z digest=sha256:38456be1ad87bd25abf13461194656fe842372560dab688b6c0daa5fbc57d5b7