Paper Citation Record · LEDGER

DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2503.11892.

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

pith.paper-citation-record.v1
2503.11892 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T15:29:49.000321Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T20:27:22.635470Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5c827d00-0db1-4461-9477-dff6926f131e · inbound

DVP-MVS++: Synergize Depth-Normal-Edge and Harmonized Visibility Prior for Multi-View Stereo cites this paper.

DVP-MVS++: Synergize Depth-Normal-Edge and Harmonized Visibility Prior for Multi-View Stereo DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-05-19T09:53:02.009947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a6147dc1-0c28-4e95-a5f7-e64315490f01 · inbound

Beyond Surface Artifacts: Capturing Shared Latent Forgery Knowledge Across Modalities cites this paper.

Beyond Surface Artifacts: Capturing Shared Latent Forgery Knowledge Across Modalities DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-11T05:30:59.412573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 967f16f5-0c9f-4dfe-88d0-fb83f8d2dcda · inbound

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers cites this paper.

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-11T23:11:17.586574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1fd0d585-40e6-499b-9c2d-811ba477d05d · inbound

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers cites this paper.

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-13T07:22:28.792668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation aad77f92-ae81-460e-9522-ba225a87dbf8 · inbound

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers cites this paper.

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-07-01T09:25:39.887636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 51fb7120-835b-470f-9a6a-abe6e476dfe9 · inbound

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers cites this paper.

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T15:29:49.000321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 989a119e-c7c0-421a-9311-1dc5bfcca79a · inbound

IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools cites this paper.

IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:33:58.451369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 06fc3692-c258-4afb-978b-3a2866a4c9cb · inbound

Disentangled Fine-Grained Prototype Learning for Incomplete Image-Tabular Classification cites this paper.

Disentangled Fine-Grained Prototype Learning for Incomplete Image-Tabular Classification DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-02T07:56:47.155822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 170f310b-dafd-4d5d-841c-4c505427b94b · inbound

ChronoPhyBench: Do MLLMs Truly Understand the World or Merely Exploit Language Priors? cites this paper.

ChronoPhyBench: Do MLLMs Truly Understand the World or Merely Exploit Language Priors? DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-02T20:27:22.636691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.