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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 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:11:40.157793Z

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=sha256:3d291c40f0cd2951e25a6168a10f4c6f15aa18d8fc86f1a79fcae18dc76421ea

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.030520Z digest=sha256:d0774b610cd97437811c373676cbd6a8100fe41812921c4c5dfd2818ac070b4e

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
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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.

source=arxiv_source observed=2026-08-09T19:12:34.036450Z digest=sha256:b0f7b07190a1eda03ecba55a80c9133035642b6d243f63659ca4dd31bcb4584f

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
raw_fallback, observed 2026-08-09T19:12:35.307027Z

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=2026-08-09T19:12:34.041623Z digest=sha256:7a68e6e99919bccd34bc06344b340a29919e2bc8787370237f10e321b02d8165

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.046648Z digest=sha256:6d4998483f8f34fb86694d162405624388b6d8f117265e841d883bb1f37532e2

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:d910533d4e1617dcedf9288109c7a507f6dd14d227c821acdadb6f94d271b2cf

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.058568Z digest=sha256:062ca6d45de8486c724572af2dfcdad186a7b7ff4945a6f140d50658021795b7

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:cd86cc18e2ec8004fda72d311d7ead32a375f065c42c4ed8a1ec28ef09ce2458

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:f97d93d22d3116e6be74ec626fd66fee49fd3d48e26ba07f43074a3d9468ac43

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.074728Z digest=sha256:178583bce30181818f629e144c30238a7f7bd9f762330f3d7dd6c6915fcac333

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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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.080341Z digest=sha256:f5c395527f5307fca9905c527071b2e296f753d907e8ff3ca245f953729f5b47

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=sha256:1e2b53266d43300b76e329bf4f734bddd62a639f26eb56cc8e3325d422e88a5a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.092732Z digest=sha256:c45c7f63c8647c4ac31c468c46531967bfe8917c620cf8285a534d08e819c9af

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.098657Z digest=sha256:3e1c55bdec686419de095d9baff844adec60e1bd80904ad2b748e573c3381aa1

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.103549Z digest=sha256:7ed6ecc56e470afd03b3d9fc087d04100014c7865a1f0518b4f940563c5d3ff2

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:ab1bb62da1b8389fac558f190d26771928dae9ad5a933b55de0c13c53ef3203d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.113951Z digest=sha256:d228080dc51aa21bb79abb0da87a448b1f314946d0c9b5a6e13db834fe57336d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.118873Z digest=sha256:c0f6db1bfbd8da83171289d2321600c75b07754b465b8bdf9648c024c40fd7c0

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

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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=sha256:5213095f53bbc5b19d9ce0eb312312783cdbb20fae5bac9b93688d68f60b0a34

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=sha256:04801cefe23b66b77150f1b67f74c9d757fe70093403d351179fec1437051755

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=sha256:28cf9bc0823c51b41c45f8d6aa63863675a27f47eb423cfc80ff828303117991

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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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.144492Z digest=sha256:521eb5620455dacefeb4e8e97e586130840416fcf82bac74bf9dc6e909e3a04f

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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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.150266Z digest=sha256:f2f9380bf9a1f1b58dc8c1a25b5696d65834d4adf8eeabafeb97075c1798673e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.155746Z digest=sha256:5b3659407c672f8e0700a59dd7ad3955c5ca7f59fcc878e546e7c62451f1ece6

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
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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 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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.166641Z digest=sha256:6474f2f8207eb26861de76f76cea2fb54e55bc3272301627480f52deb3204714

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.172535Z digest=sha256:2c8d431135d249687034bd8fd4bef3659781eec5077bf2551a12e07e7c6454ea

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.179904Z digest=sha256:d37571815702040c49304932805979835dc60de27156b12405cbd945c6a5bdc2

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.185672Z digest=sha256:ac3ef979e1c4b3144d01954a7b7f20ddbd6d3c0607b40df1ee56adf21b718a84

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.191944Z digest=sha256:e5b73b872ec665083a9135c4bfe6850a46ac4ed7c4a069caee04306dabe6686e

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=sha256:6401aad7360b0e23cf0e53643ecb254389e5d6c2d1dcf2d295ec5599ea4c8c29

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.203086Z digest=sha256:b1d14919b1c86e4106a799aa052bb6265eac64eb3fb31a2006f65b4f3ccd4c38

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.208139Z digest=sha256:b1785a49004a283ec89fea71c28622eceffce45e00fd0645d376ff300be926a3

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.213389Z digest=sha256:ec288e8008939d361889591fde5482b2b633c10ff27654bd02597153182cf9a5

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
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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.219095Z digest=sha256:3403978fe756e697c814757d3128b7e1c5d2ffe860e23c9ded4a2f5ad80ebedc

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=sha256:89a12cd4eb60d5b7d7f1672267ebb97b3a5aaa3fa65302af1d4daba800f94cc6

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.230857Z digest=sha256:a6ee9af007dcf2cf391a1bc27059ed211948d40139997891ec432722a29e7f85

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:ce271c8ca0120b47a599df7e545e724f9fbe3be7779c884dc2fc00fae10a680c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.244259Z digest=sha256:e9725a682ac90008fa897824bdb6b31ab33590164012a49eca11eb0b3b4c7a85

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.250098Z digest=sha256:1b506fbb1daedb78d304e25a452797ef0031830a5c361730924d59e7605bb289

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.255269Z digest=sha256:0d6471ace8140461f355dee56bfc594a54b9ff8b799cbfb32c50b32aace2ee00

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:f504628a5c24925aa3960e991c19507d9eed3de59b93b53267dab428e5383db3

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=sha256:5c19d47b0dba40ea8531c8e7f603c0ea0e3e36f22646c644ab9cfa9a779c904b

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.273819Z digest=sha256:d5ff77a455f6dc3d8d77cced75b40c71a8f08d8b8f0c0348521c0c0762af2609

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.278740Z digest=sha256:76b7df659a70340185d7b14625dbfb27434acf9d91fa9561d3287a56e6048101

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.283571Z digest=sha256:ed7080dd12cd9352cad3d14c6bb19f96539f5c85b11992249b5a76904dc92dbb

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.288600Z digest=sha256:9e739282b1cc6ebbc960448b4ec765c770beae6ff87f767d4c5da7348415e374

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=sha256:8c1f62173f7621c60ac58bf871774623c002fb7147368dc42c96c1622194c185

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.298682Z digest=sha256:430af2757780f8db5368381b28fefea0270c6c273e25d8f91d7e42c2dad41413

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.303342Z digest=sha256:00d3a87eae11a7ab97b9a3d8df73f83e604b2bb889299b51bddf7c53cfb1cad4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.307836Z digest=sha256:36d23f7c94befcc2011f6effef511e28f1ccffdb197a1013bf992ac323fa9949

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.313029Z digest=sha256:a8697a8928becce95bfded8b9a212f9d92a0df146cde221741663e33df1e0295

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.317890Z digest=sha256:21e075ac0705683df84b1c226351787431b790ffed502f8ec582dea6c45e9082

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.322714Z digest=sha256:53c8da75eb473557b1a8e7458b777386119fcccac3f82573d838a68743d1c84a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.327787Z digest=sha256:7286fb02eb6bdf0758bf9c31c2cb9b3ac080b8b49a67818073cb95d312a5770f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T19:12:34.332755Z digest=sha256:f0d95e09a550d9e44842ec8e402f4e096076f93dace14f4e1102138365b5db41

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:e26658b8edd9250d0edf0fda11b804119dd2084975661dd0e375c5ec693b472a