Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-18T13:31:41.141199Z
Paper Citation Record · LEDGER
Mechanistic Independence: A Principle for Identifiable Disentangled Representations
As of 4 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2509.22196.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T03:34:28.898022Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
20 of 20 outbound references displayed
- verified exact15
- verified fuzzy4
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 45d37595-3d92-49a1-a2fe-f5d4f8bd7f1f · outbound
This paper cites Weakly Supervised Representation Learning with Sparse Perturbations.
Mechanistic Independence: A Principle for Identifiable Disentangled Representations Weakly Supervised Representation Learning with Sparse Perturbations
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:32:37.884560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 78d597c5-8651-4a81-bf1f-b1d7fe97f563 · outbound
This paper cites Provably Learning Object-Centric Representations.
Mechanistic Independence: A Principle for Identifiable Disentangled Representations Provably Learning Object-Centric Representations
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:32:37.869824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation cba546e6-875c-4130-97dd-c05a4713ab6e · outbound
This paper cites Interaction Asymmetry: A General Principle for Learning Composable Abstractions.
Mechanistic Independence: A Principle for Identifiable Disentangled Representations Interaction Asymmetry: A General Principle for Learning Composable Abstractions
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:32:37.825842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 96526c3e-0bc1-41ce-b74a-ce0f7eaf00c2 · outbound
This paper cites Multidimensional independent component analysis.
Mechanistic Independence: A Principle for Identifiable Disentangled Representations Multidimensional independent component analysis
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T13:32:37.936209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation cde6a8f5-5085-49b0-bdb7-d2bb45299188 · outbound
This paper cites Identifiability Results for Multimodal Contrastive Learning.
Mechanistic Independence: A Principle for Identifiable Disentangled Representations Identifiability Results for Multimodal Contrastive Learning
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:32:37.849795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 49951054-0d4f-44fb-8b05-793d3fbfc5a9 · outbound
This paper cites Independent Mechanism Analysis and the Manifold Hypothesis.
Mechanistic Independence: A Principle for Identifiable Disentangled Representations Independent Mechanism Analysis and the Manifold Hypothesis
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:32:37.841301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ff378eb1-8f90-4946-899c-8b3a68a068f3 · outbound
This paper cites On the Binding Problem in Artificial Neural Networks.
Mechanistic Independence: A Principle for Identifiable Disentangled Representations On the Binding Problem in Artificial Neural Networks
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:32:37.829929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation eb669acd-3cfc-49fe-9f35-00cb615bd90e · outbound
This paper cites The Responsibility Problem in Neural Networks with Unordered Targets.
Mechanistic Independence: A Principle for Identifiable Disentangled Representations The Responsibility Problem in Neural Networks with Unordered Targets
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:32:37.850598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e5de2e79-e771-41d2-be41-113ce50a6167 · outbound
This paper cites Towards a Definition of Disentangled Representations.
Mechanistic Independence: A Principle for Identifiable Disentangled Representations Towards a Definition of Disentangled Representations
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T13:32:37.879404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation afaae60d-0995-4d97-b45c-f8d87e53465b · outbound
This paper cites Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding.
Mechanistic Independence: A Principle for Identifiable Disentangled Representations Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:32:37.864555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 5f29e9f7-cbcb-4694-9e75-3eb5be02d8bc · outbound
This paper cites Partial Disentanglement via Mechanism Sparsity.
Mechanistic Independence: A Principle for Identifiable Disentangled Representations Partial Disentanglement via Mechanism Sparsity
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T13:32:37.874594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ce05a8ee-5b16-445f-b589-53756df9dc25 · outbound
This paper cites Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation.
Mechanistic Independence: A Principle for Identifiable Disentangled Representations Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:32:37.830598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 2142df9b-d178-43f4-b054-f9cae3e0df50 · outbound
This paper cites Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies.
Mechanistic Independence: A Principle for Identifiable Disentangled Representations Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-08-03T01:25:21.637949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c986b785-2d3a-4ef8-8d1c-8543a871a493 · outbound
This paper cites Object-centric architectures enable efficient causal representation learning.
Mechanistic Independence: A Principle for Identifiable Disentangled Representations Object-centric architectures enable efficient causal representation learning
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:32:37.846181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 430c5abf-1225-4318-9018-d8a49e8e417c · outbound
This paper cites Identifiable Deep Generative Models via Sparse Decoding.
Mechanistic Independence: A Principle for Identifiable Disentangled Representations Identifiable Deep Generative Models via Sparse Decoding
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:32:37.855120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 59fd4582-473c-4075-be34-272f34104995 · outbound
This paper cites Multi-View Causal Representation Learning with Partial Observability.
Mechanistic Independence: A Principle for Identifiable Disentangled Representations Multi-View Causal Representation Learning with Partial Observability
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:32:37.859372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b2e08ad9-c0f0-4404-936a-ff55dd8caed5 · outbound
This paper cites FSPool: Learning Set Representations with Featurewise Sort Pooling.
Mechanistic Independence: A Principle for Identifiable Disentangled Representations FSPool: Learning Set Representations with Featurewise Sort Pooling
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:32:37.840792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 6272fc65-3996-48df-96f8-fb0556c4ef93 · outbound
This paper cites Proposition 3.LetA∈R m×n.
Mechanistic Independence: A Principle for Identifiable Disentangled Representations Proposition 3.LetA∈R m×n
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T13:32:37.946901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 744e513e-b250-490e-9c47-5331b5912d2b · outbound
This paper cites Since dim(V)≥2, choose a decompositionV=A⊕BwithA, B̸={0}.
Mechanistic Independence: A Principle for Identifiable Disentangled Representations Since dim(V)≥2, choose a decompositionV=A⊕BwithA, B̸={0}
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T13:32:37.939607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 756ef405-55fc-4e4a-870b-c3b9092dfb66 · outbound
This paper cites This is impossible: any such combination has at least five nonzeros, even under careful cancellations.
Mechanistic Independence: A Principle for Identifiable Disentangled Representations This is impossible: any such combination has at least five nonzeros, even under careful cancellations
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T13:32:37.943712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Pith citing papers
Observation 74324fd4-4666-411b-8328-1d1842a926e3 · inbound
Beyond ICA: Identifiability by Symmetry Breaking cites this paper.
Beyond ICA: Identifiability by Symmetry Breaking Mechanistic Independence: A Principle for Identifiable Disentangled Representations
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T03:34:28.898022Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.