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Paper Citation Record · LEDGER

Causal Abstraction Learning based on the Semantic Embedding Principle

As of 10 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2502.00407.

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

pith.paper-citation-record.v1
2502.00407 v2

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:12:34.332755Z

measured 57 of 57 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 2026-08-01T16:11:40.157793Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

  • verified exact0
  • verified fuzzy33
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 128a89ac-8e86-4ecd-a38c-0c0f3b57de8e · outbound

This paper cites write newline.

Causal Abstraction Learning based on the Semantic Embedding Principle write newline

Reference 1

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unresolved
no resolver link, observed 2026-08-09T19:12:34.022284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:12:34.022284Z digest=sha256:17d8f21ef257c35387701983e5f6463e1ecdd1a40a9011af832eccb01ec75976

Observation 5117ef51-a2c3-4e4d-9aef-cf5337690193 · outbound

This paper cites Optimization Algorithms on Matrix Manifolds.

Causal Abstraction Learning based on the Semantic Embedding Principle Optimization Algorithms on Matrix Manifolds

Reference 2

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verified fuzzy
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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=2026-08-09T19:12:34.030520Z digest=sha256:ea12b7c2c3f49205ce71b65814d859575627c35eca41c2bfa2640963a4975f55

Observation e1729599-5f9d-431d-9e38-0ff771d2e883 · outbound

This paper cites and Halpern, J.

Causal Abstraction Learning based on the Semantic Embedding Principle and Halpern, J

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-09T19:12:35.324890Z

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=2026-08-09T19:12:34.036450Z digest=sha256:852ff61ec7c761409cd7c86bf3dfece72b62ed72deb7e4e3a92e75e53b0a166e

Observation 42c59a5d-3b4b-4584-9223-111e4f99bc72 · outbound

This paper cites and Gavves, S.

Causal Abstraction Learning based on the Semantic Embedding Principle and Gavves, S

Reference 4

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verified fuzzy
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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=2026-08-09T19:12:34.041623Z digest=sha256:8a7ffd44419b1d0dccb79093991e6fa7d4b5247b827381e76c89e1e9e708ec97

Observation 1cae374a-0121-4b98-a2fb-7f85e1ee97d6 · outbound

This paper cites an unresolved cited work.

Causal Abstraction Learning based on the Semantic Embedding Principle Unresolved cited work

Reference 5

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unresolved
raw_fallback, observed 2026-08-09T19:12:35.289094Z

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=2026-08-09T19:12:34.046648Z digest=sha256:6f746633fa32172540aa5b34ca287fd5ae80136a554dbac1d668502484d52782

Observation 97cf084e-7304-4fae-88dd-73bd83b6ef33 · outbound

This paper cites An introduction to optimization on smooth manifolds.

Causal Abstraction Learning based on the Semantic Embedding Principle An introduction to optimization on smooth manifolds

Reference 6

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unresolved
no resolver link, observed 2026-08-09T19:12:34.052869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:12:34.052869Z digest=sha256:fc148d526c71e3218e27041aade29bad489c358f8433053786fbbbba985032a9

Observation 09e35edc-eebc-46e4-913f-cc367f0331b9 · outbound

This paper cites Manopt, a M atlab toolbox for optimization on manifolds.

Causal Abstraction Learning based on the Semantic Embedding Principle Manopt, a M atlab toolbox for optimization on manifolds

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:35.261737Z

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=2026-08-09T19:12:34.058568Z digest=sha256:6db403124eeb3c3f5a89ea6953b032524d3e06d97101ebad062cfa237317a768

Observation 9dda5087-042b-4a27-9c87-3f282251d8a0 · outbound

This paper cites and Vandenberghe, L.

Causal Abstraction Learning based on the Semantic Embedding Principle and Vandenberghe, L

Reference 8

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no resolver link, observed 2026-08-09T19:12:34.064722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:12:34.064722Z digest=sha256:532f189a6ce73a45d090ed7649716126267e353e480a273f8e5d499f94d15b2f

Observation 37d27d90-d533-4297-a2a1-b5f67740c055 · outbound

This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers.

Causal Abstraction Learning based on the Semantic Embedding Principle Distributed optimization and statistical learning via the alternating direction method of multipliers

Reference 9

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unresolved
no resolver link, observed 2026-08-09T19:12:34.069721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:12:34.069721Z digest=sha256:460b45d279a813d28eb21b5b18604f5b169e1a0992b5d4b2f0792dc63248ebd2

Observation fa0ce6db-60f5-433e-b17b-a570fcfa54ff · outbound

This paper cites The matrix reference manual.

Causal Abstraction Learning based on the Semantic Embedding Principle The matrix reference manual

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-09T19:12:35.220807Z

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=2026-08-09T19:12:34.074728Z digest=sha256:4fe3d364a42b16cd7a3e63ff9330f918ba44553e3b18219661766ced3cf6fcb5

Observation b2552035-127e-4cc3-a845-d5bb499f055b · outbound

This paper cites and Lim, L.-H.

Causal Abstraction Learning based on the Semantic Embedding Principle and Lim, L.-H

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-09T19:12:35.205068Z

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=2026-08-09T19:12:34.080341Z digest=sha256:000a5d18c35771410ddff14b319ef30fc966118b61476f585bc927091d3d517b

Observation 63252656-a122-4821-bcf4-86b0b8a2d89d · outbound

This paper cites Proximal gradient method for nonsmooth optimization over the S tiefel manifold.

Causal Abstraction Learning based on the Semantic Embedding Principle Proximal gradient method for nonsmooth optimization over the S tiefel manifold

Reference 12

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unresolved
no resolver link, observed 2026-08-09T19:12:34.087011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:12:34.087011Z digest=sha256:94125d464f6b6531fbdf2831b8f885d0defa508864c9ffda8e0e1a74c4869215

Observation 64b12509-59ae-41af-94ec-874893ce4701 · outbound

This paper cites an unresolved cited work.

Causal Abstraction Learning based on the Semantic Embedding Principle Unresolved cited work

Reference 13

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raw_fallback, observed 2026-08-09T19:12:35.188305Z

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=2026-08-09T19:12:34.092732Z digest=sha256:4051c804434dc0d483544b99923392f0845f5b6e11ccd5aa575c014b58d16675

Observation f27861f1-3f7c-43b5-9373-d02ee6fb91b9 · outbound

This paper cites and Boyd, S.

Causal Abstraction Learning based on the Semantic Embedding Principle and Boyd, S

Reference 14

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verified fuzzy
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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=2026-08-09T19:12:34.098657Z digest=sha256:b5b5905fe9a92ee27dd08a8880f751f8cbc8159d529be03cda6f80ab1f826a6b

Observation 69f5ce35-bb29-4d4b-aec7-08d6d8d1608d · outbound

This paper cites G., Felekis, Y., Zennaro, F.

Causal Abstraction Learning based on the Semantic Embedding Principle G., Felekis, Y., Zennaro, F

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:35.151187Z

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=2026-08-09T19:12:34.103549Z digest=sha256:1a060d9fea8b053a73e4a8409b5042feeea979e2347e43f79fa2925c76bf35ef

Observation e9410f43-ddb3-49a9-9a29-a4460ec62158 · outbound

This paper cites A., and Smith, S.

Causal Abstraction Learning based on the Semantic Embedding Principle A., and Smith, S

Reference 16

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unresolved
no resolver link, observed 2026-08-09T19:12:34.109154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:12:34.109154Z digest=sha256:e7f72c968923fdb80b93e2b5306ed1ca8f887ca2b61369a757237741371078c3

Observation aaaefaf3-54a0-4bd3-9229-d9cb6a91599a · outbound

This paper cites and Hoffman, A.

Causal Abstraction Learning based on the Semantic Embedding Principle and Hoffman, A

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:35.118833Z

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=2026-08-09T19:12:34.113951Z digest=sha256:ea4389cf472f3f9d6bb0505f1ed6193214a55e8d2bb41ee1649a4edeb7f9c378

Observation 2e4ab3a4-ab1d-415a-b103-3afa5d9e1c05 · outbound

This paper cites M., Branchini, N., and Damoulas, T.

Causal Abstraction Learning based on the Semantic Embedding Principle M., Branchini, N., and Damoulas, T

Reference 18

Resolution
verified fuzzy
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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=2026-08-09T19:12:34.118873Z digest=sha256:bc6f3de1d1a2a6f4ee80a9c17406ca06703c0a1ec835320f05613394504e3e17

Observation 0a25917d-224d-4850-b758-7b425df67b15 · outbound

This paper cites A Review of the Role of Causality in Developing Trustworthy AI Systems.

Causal Abstraction Learning based on the Semantic Embedding Principle A Review of the Role of Causality in Developing Trustworthy AI Systems

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-09T19:12:34.127105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:12:34.127105Z digest=sha256:c65b17feb4b6323c0f034f233df7e78f4dd866d91e4c31cb0f71845b368fef96

Observation 8263687d-b5a4-4a4c-951b-e4c679468f40 · outbound

This paper cites Causal abstractions of neural networks.

Causal Abstraction Learning based on the Semantic Embedding Principle Causal abstractions of neural networks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-09T19:12:34.133194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:12:34.133194Z digest=sha256:cf1b95481baf0eb5868855c2a70e6537a13ff29e04a378f138f5ca1f838400e7

Observation 2d7f9fd0-f35d-47cd-8351-ea5aba24114e · outbound

This paper cites Finding alignments between interpretable causal variables and distributed neural representations.

Causal Abstraction Learning based on the Semantic Embedding Principle Finding alignments between interpretable causal variables and distributed neural representations

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-09T19:12:34.138887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:12:34.138887Z digest=sha256:2bc965fbbff5181e383d150b9f9a66d4e2c74cce83720e6d867948bfb1624152

Observation e1be4144-1378-4d42-8505-421f0d756e5d · outbound

This paper cites an unresolved cited work.

Causal Abstraction Learning based on the Semantic Embedding Principle Unresolved cited work

Reference 22

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unresolved
raw_fallback, observed 2026-08-09T19:12:35.063370Z

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=2026-08-09T19:12:34.144492Z digest=sha256:1059810f0e626461b004c4b9a4809fe35e05c8500a666aa831b01cf98d8e8536

Observation 9d8297a5-cbe6-42d0-9bb0-12c74f8543e3 · outbound

This paper cites an unresolved cited work.

Causal Abstraction Learning based on the Semantic Embedding Principle Unresolved cited work

Reference 23

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unresolved
raw_fallback, observed 2026-08-09T19:12:35.043591Z

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=2026-08-09T19:12:34.150266Z digest=sha256:6f45131ed80615a8b4fb50afc42b203d9d803782db299b84f27b58e25d6cb91f

Observation 54d5c6d2-0282-439a-acc2-79b50f775c7c · outbound

This paper cites Causal inference by string diagram surgery.

Causal Abstraction Learning based on the Semantic Embedding Principle Causal inference by string diagram surgery

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:35.024582Z

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=2026-08-09T19:12:34.155746Z digest=sha256:7844928867817cf80bce55af8edad51011feb8b32eec4b079f86394e2f040645

Observation 776cd377-977e-4eeb-a165-5a9b3e37348d · outbound

This paper cites Targeted reduction of causal models.

Causal Abstraction Learning based on the Semantic Embedding Principle Targeted reduction of causal models

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:35.002935Z

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=2026-08-09T19:12:34.160991Z digest=sha256:8958fce28bf5c73d987b34349c1c5ea68068e65cdf8b6b9f8084ebb9192fe267

Observation 934ae8f3-ab9f-49c5-ad92-1193d06ef64b · outbound

This paper cites SCM - VAE : L earning identifiable causal representations via structural knowledge.

Causal Abstraction Learning based on the Semantic Embedding Principle SCM - VAE : L earning identifiable causal representations via structural knowledge

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:34.984834Z

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=2026-08-09T19:12:34.166641Z digest=sha256:a898a843c41ab83e02d99b60a09ed45cb657fa26d21300b75af502c00beeb0bd

Observation f031e7d1-a76e-476a-b715-c5979f79db65 · outbound

This paper cites an unresolved cited work.

Causal Abstraction Learning based on the Semantic Embedding Principle Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-09T19:12:34.965236Z

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=2026-08-09T19:12:34.172535Z digest=sha256:8a8995c8c6e9ff8eaca2f5507f1fa628b2b4f9850a3a9e7ebc6f1a4de0183705

Observation 8047a18c-1398-4e5b-8439-9761e695c046 · outbound

This paper cites and Osher, S.

Causal Abstraction Learning based on the Semantic Embedding Principle and Osher, S

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:34.947385Z

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=2026-08-09T19:12:34.179904Z digest=sha256:8f5e91d2c2644f9084c171462fa75438e4318cebe56a0037bea7291957ff7248

Observation 6343c100-80f1-4aeb-882c-b86fc8d68aab · outbound

This paper cites D., Razaviyayn, M., and Hong, M.

Causal Abstraction Learning based on the Semantic Embedding Principle D., Razaviyayn, M., and Hong, M

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:34.930397Z

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=2026-08-09T19:12:34.185672Z digest=sha256:9b7908eb7f17e2983806f53fd158722d0e8a16e349e5d14f066c8a5767f8c76b

Observation 75f05d62-a361-456a-9962-83de41839b2a · outbound

This paper cites Categories for the Working Mathematician, volume 5.

Causal Abstraction Learning based on the Semantic Embedding Principle Categories for the Working Mathematician, volume 5

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:34.909855Z

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=2026-08-09T19:12:34.191944Z digest=sha256:be4d0cf3cdd22f32449f7a0146d3a7f275875c2f6538c349fef9263b922e6296

Observation 61e9e021-8386-4dd4-a3e0-1afa518e6d47 · outbound

This paper cites Sampling via measure transport: A n introduction , pp.\ 1–41.

Causal Abstraction Learning based on the Semantic Embedding Principle Sampling via measure transport: A n introduction , pp.\ 1–41

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-09T19:12:34.197132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:12:34.197132Z digest=sha256:80915024b46a2784e4fba8e037655fb637f12f767558cf4bf6bb6bae1bb3f96d

Observation 1785425f-66f0-42df-a85a-b9abff260417 · outbound

This paper cites Learning causal abstractions of linear structural causal models.

Causal Abstraction Learning based on the Semantic Embedding Principle Learning causal abstractions of linear structural causal models

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:34.891369Z

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=2026-08-09T19:12:34.203086Z digest=sha256:dd65361627a8eda1bd9e0ccb7d53f119524db0fdfc716ad1fe9ab7ff1537f129

Observation 3e9ed948-f13b-4b0e-8f69-0e6d22ba9143 · outbound

This paper cites Parallel and distributed successive convex approximation methods for big-data optimization.

Causal Abstraction Learning based on the Semantic Embedding Principle Parallel and distributed successive convex approximation methods for big-data optimization

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:34.872544Z

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=2026-08-09T19:12:34.208139Z digest=sha256:ac38f9d188fae1b3e455627868ebdd5d186895ca8b6fc6568e37e648b1506401

Observation f9da01bf-1604-4b63-8944-1c94f27c846d · outbound

This paper cites and Saigo, H.

Causal Abstraction Learning based on the Semantic Embedding Principle and Saigo, H

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:34.854168Z

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=2026-08-09T19:12:34.213389Z digest=sha256:1b834d72ec6665bf3e70480bb343e765341cf29a70e07cf3171cac37790fddf7

Observation 004b145a-6295-42ea-bb35-13659e5bdb71 · outbound

This paper cites Proximal algorithms.

Causal Abstraction Learning based on the Semantic Embedding Principle Proximal algorithms

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:34.836790Z

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=2026-08-09T19:12:34.219095Z digest=sha256:222be1890a28babaaddc623ecc816dd6e4e3162317deec5bbf23bfb538aebdd8

Observation e2dd8214-3973-45f2-8631-ec348e8a3432 · outbound

This paper cites Causality.

Causal Abstraction Learning based on the Semantic Embedding Principle Causality

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-09T19:12:34.224827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:12:34.224827Z digest=sha256:8acabae8ad659c75c3b7d63102f8d0c54657076ca6800b6f86cf69d106d66116

Observation b89c8692-b63d-4765-bc98-ca60aaeec1ae · outbound

This paper cites Starting Category Theory.

Causal Abstraction Learning based on the Semantic Embedding Principle Starting Category Theory

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:34.805476Z

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=2026-08-09T19:12:34.230857Z digest=sha256:99c5216e282d6ca30840739206377931bf19050b8f9076ba1fbadc375c500a0d

Observation eb95e075-8b65-4dee-ab43-b693b47fd718 · outbound

This paper cites Causal Responsibility Attribution for Human-AI Collaboration.

Causal Abstraction Learning based on the Semantic Embedding Principle Causal Responsibility Attribution for Human-AI Collaboration

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-09T19:12:34.237502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:12:34.237502Z digest=sha256:6c9f3110700b6ca8ae3060119e4209e377ab0638e15e1513c07d1517f6304b60

Observation 33dd9b06-b4f9-493b-87f3-5e5739bb2065 · outbound

This paper cites B., Sadler, B.

Causal Abstraction Learning based on the Semantic Embedding Principle B., Sadler, B

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:34.781145Z

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=2026-08-09T19:12:34.244259Z digest=sha256:951c4e592eb8667b3531cbe60b12feeef1eb320db54248c93ef3283cd382eb77

Observation f947baaf-983c-400e-8864-4247ece5c026 · outbound

This paper cites an unresolved cited work.

Causal Abstraction Learning based on the Semantic Embedding Principle Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-09T19:12:34.759067Z

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=2026-08-09T19:12:34.250098Z digest=sha256:85557832b72dd2b9626dcde0769c4b63983acb8bbd708e8a02d69d545ecfbc5b

Observation d99a9a62-6c59-4a16-83a5-ec2d820cca9c · outbound

This paper cites K., Weichwald, S., Bongers, S., Mooij, J.

Causal Abstraction Learning based on the Semantic Embedding Principle K., Weichwald, S., Bongers, S., Mooij, J

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:34.733282Z

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=2026-08-09T19:12:34.255269Z digest=sha256:56dcb7425c9143d7868690e0c44f1106ef565c34ae007608877b6ac6a2b9d5ba

Observation 5613567e-51f8-40b2-ad31-1e2692882efd · outbound

This paper cites R., Kalchbrenner, N., Goyal, A., and Bengio, Y.

Causal Abstraction Learning based on the Semantic Embedding Principle R., Kalchbrenner, N., Goyal, A., and Bengio, Y

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-09T19:12:34.261314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:12:34.261314Z digest=sha256:15aa1f24778a6c5a2c5338c6d9c8ef1a5e9d9a3688510940186c9333bd68a040

Observation 052b0a2f-1366-41e2-bad1-fdfb74cc9be6 · outbound

This paper cites Aligning Graphical and Functional Causal Abstractions.

Causal Abstraction Learning based on the Semantic Embedding Principle Aligning Graphical and Functional Causal Abstractions

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-09T19:12:34.266961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:12:34.266961Z digest=sha256:dbb73ebbffed461b5875347ef92532122fae2559b2d88d919231955e308a39a9

Observation b57302e1-ba7b-44c6-8b48-b53e968b54dc · outbound

This paper cites O., Hyv \"a rinen, A., Kerminen, A., and Jordan, M.

Causal Abstraction Learning based on the Semantic Embedding Principle O., Hyv \"a rinen, A., Kerminen, A., and Jordan, M

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:34.700675Z

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=2026-08-09T19:12:34.273819Z digest=sha256:484aff386a0f9bd53dd823cad91e59887e283819979883649abf7d638dbd8c21

Observation 0a8cedd2-8f47-4299-a250-b1e86bb5bcf1 · outbound

This paper cites A R iemannian proximal N ewton method.

Causal Abstraction Learning based on the Semantic Embedding Principle A R iemannian proximal N ewton method

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:34.678378Z

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=2026-08-09T19:12:34.278740Z digest=sha256:27ef21ba811d72e772ab1a25c29a2c98e9219c13d74acaf59ab1ae412d724d4d

Observation b9c9d0f7-d751-4c1c-82b9-47a14964d246 · outbound

This paper cites M., Beckmann, C.

Causal Abstraction Learning based on the Semantic Embedding Principle M., Beckmann, C

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:34.657223Z

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=2026-08-09T19:12:34.283571Z digest=sha256:df7605b711f138b1f9212d01b6fb06800f5f4f53b12e4f3ebe2ddb30c9ee0d1a

Observation 0e935867-d1d0-4477-a558-2cd833bfd8ef · outbound

This paper cites and Zhang, K.

Causal Abstraction Learning based on the Semantic Embedding Principle and Zhang, K

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:34.625936Z

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=2026-08-09T19:12:34.288600Z digest=sha256:24eae361016dac1dfece71f5793d6fe914bd133b6cc92659626b89ed6ebcf845

Observation c9d182e4-bf20-4858-b4ea-fae7020c8565 · outbound

This paper cites OSQP : An operator splitting solver for quadratic programs.

Causal Abstraction Learning based on the Semantic Embedding Principle OSQP : An operator splitting solver for quadratic programs

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-09T19:12:34.293783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:12:34.293783Z digest=sha256:c05b23edebb8d232aaf335c5f832a834b3fb4dbb40e7fc1398596c81843856d7

Observation 8c44d8ad-2925-46ec-bb02-8376ee3aa819 · outbound

This paper cites C., Di Lorenzo, P., Sciancalepore, V., Aijaz, A., Kountouris, M., G \"u nd \"u z, D., Popovski, P., Sana, M., Stavrou, P.

Causal Abstraction Learning based on the Semantic Embedding Principle C., Di Lorenzo, P., Sciancalepore, V., Aijaz, A., Kountouris, M., G \"u nd \"u z, D., Popovski, P., Sana, M., Stavrou, P

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:34.603167Z

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=2026-08-09T19:12:34.298682Z digest=sha256:17844416411bf700d0cfed9f7f492a2cf4bd0d3462da34c643e9e1af08484fdb

Observation 118d4cf1-c87e-4822-85b8-e33e26ccc8e6 · outbound

This paper cites an unresolved cited work.

Causal Abstraction Learning based on the Semantic Embedding Principle Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-09T19:12:34.579820Z

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=2026-08-09T19:12:34.303342Z digest=sha256:ef91807ab33fd19d71ca875a516c8b9e117c6652a4031815e64787031a3c08e6

Observation b6c13606-0680-42a6-8e39-dd1aa926c2ff · outbound

This paper cites an unresolved cited work.

Causal Abstraction Learning based on the Semantic Embedding Principle Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-09T19:12:34.562114Z

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=2026-08-09T19:12:34.307836Z digest=sha256:3694840e43a8a8ee3284f51ada0e43825cbba73222100adfb85f6c9d1c893b9c

Observation 283ff9fa-9f7b-485e-a50e-f6c4f4b19259 · outbound

This paper cites K., Saad, W., and Xiao, Y.

Causal Abstraction Learning based on the Semantic Embedding Principle K., Saad, W., and Xiao, Y

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:34.542234Z

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=2026-08-09T19:12:34.313029Z digest=sha256:8aa54aba3d4cb0520462ad5444f6697850e8fbf687d87b2b23d52d9cb7d8fcc6

Observation 3c006e72-31e1-4269-a06c-cd4dd7fdf22b · outbound

This paper cites A regularized semi-smooth N ewton method with projection steps for composite convex programs.

Causal Abstraction Learning based on the Semantic Embedding Principle A regularized semi-smooth N ewton method with projection steps for composite convex programs

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:34.525408Z

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=2026-08-09T19:12:34.317890Z digest=sha256:2a3c9fa57e184c09b04cafc7bfaa3805a279350dcd1b998ac3e85c26eeee1c1e

Observation 035d5595-7288-4c7e-bcf4-d155b77e1781 · outbound

This paper cites Causal VAE : Disentangled representation learning via neural structural causal models.

Causal Abstraction Learning based on the Semantic Embedding Principle Causal VAE : Disentangled representation learning via neural structural causal models

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:34.506459Z

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=2026-08-09T19:12:34.322714Z digest=sha256:4af41e24c0929702682a16a2ef2515aa348db3548265e9402610f9b4053c29fc

Observation 8d5cf99b-e2a8-4516-bdc3-1deedf64e9de · outbound

This paper cites M., Dr \'a vucz, M., Apachitei, G., Widanage, W.

Causal Abstraction Learning based on the Semantic Embedding Principle M., Dr \'a vucz, M., Apachitei, G., Widanage, W

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:34.488327Z

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=2026-08-09T19:12:34.327787Z digest=sha256:15a197d625c43c17a666d63b7cf4fb9f34fc80e3f2c315e7f661273a7f72699e

Observation 53da4b65-b7fb-4932-8bf2-91dbce9988b6 · outbound

This paper cites and Hyv \"a rinen, A.

Causal Abstraction Learning based on the Semantic Embedding Principle and Hyv \"a rinen, A

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:12:34.467742Z

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=2026-08-09T19:12:34.332755Z digest=sha256:e763a52b98363f8034bb86342806b3cafc6898cce7a392e82fb1948031c87b12

Pith citing papers

Observation dfff2b9a-4be8-466f-ae50-4006069fb51b · inbound

Compositional Semantic Communication for Physical AI: Category Theory Meets Game Theory cites this paper.

Compositional Semantic Communication for Physical AI: Category Theory Meets Game Theory Causal Abstraction Learning based on the Semantic Embedding Principle

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T16:11:40.157793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:11:40.157793Z digest=sha256:6be3947f06e8c6a2b9474d857bd86ecb302a77a16aad14ad3c1a64fa76ba84ac