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Paper Citation Record · LEDGER

Multi-View Causal Representation Learning with Partial Observability

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.04056.

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

pith.paper-citation-record.v1
2311.04056 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:16:27.672172Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

6
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d2c102bc-8876-4fc7-8118-e4f30bbaf8c1 · inbound

Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis cites this paper.

Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis Multi-View Causal Representation Learning with Partial Observability

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-10T17:16:27.672172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:16:27.672172Z digest=sha256:2b8c7d01326b3ae82666a7d4dc766e54a292439b29bfa994ad5b0759e4f466f9

Observation 59fd4582-473c-4075-be34-272f34104995 · inbound

Mechanistic Independence: A Principle for Identifiable Disentangled Representations cites this paper.

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T13:31:41.141199Z digest=sha256:12c97fe95a2817a7976d04058d076dd61890a4069941d9565a3b403a45ced439

Observation 16b4746e-d45b-4da1-8843-0a6c7bcf1e3a · inbound

Multimodal LLMs under Pairwise Modalities cites this paper.

Multimodal LLMs under Pairwise Modalities Multi-View Causal Representation Learning with Partial Observability

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:39:40.680070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T05:37:56.792564Z digest=sha256:d9bf995d188e9a921f2bf77f67f4b83fa06975186c2ea97a3fd12f90e5b824db

Observation cdc35fe5-1d91-4c56-9dfb-81777b2ced21 · inbound

Unsupervised Causal Abstractions Discovery cites this paper.

Unsupervised Causal Abstractions Discovery Multi-View Causal Representation Learning with Partial Observability

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-06-26T20:49:57.394816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-26T20:45:15.226889Z digest=sha256:43d946ad92cc70dd8b359f0731cca07fbb69441a59780abfabe95b2f3a67d085

Observation c0b68b3e-390c-44bd-a236-029d523926c5 · inbound

MoVA: Learning Asymmetric Dual Projections for Modular Long Video-Text Alignment cites this paper.

MoVA: Learning Asymmetric Dual Projections for Modular Long Video-Text Alignment Multi-View Causal Representation Learning with Partial Observability

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-07-02T14:27:03.027124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-02T14:25:04.811472Z digest=sha256:9f89ed0435ae5ece474e82ad9dbaf73d3388b8455d2af247b025334285bb364a