Paper Citation Record · LEDGER

ZigMa: A DiT-style Zigzag Mamba Diffusion Model

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.13802.

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

pith.paper-citation-record.v1
2403.13802 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:59:28.140778Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:49:44.588654Z

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 aefd365a-368a-4e12-b383-83f2ee76345e · inbound

A Survey of Mamba cites this paper.

A Survey of Mamba ZigMa: A DiT-style Zigzag Mamba Diffusion Model

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:13:30.593428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a934d5d2-727c-4aae-afa1-832d5b7e03dc · inbound

QuarterMap: Efficient Post-Training Token Pruning for Visual State Space Models cites this paper.

QuarterMap: Efficient Post-Training Token Pruning for Visual State Space Models ZigMa: A DiT-style Zigzag Mamba Diffusion Model

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:59:28.140778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b58c7b48-65e3-48a9-b079-ddf051ef6344 · inbound

VMU-Diff: A Coarse-to-fine Multi-source Data Fusion Framework for Precipitation Nowcasting cites this paper.

VMU-Diff: A Coarse-to-fine Multi-source Data Fusion Framework for Precipitation Nowcasting ZigMa: A DiT-style Zigzag Mamba Diffusion Model

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:09:44.611848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1b61dbfb-1851-4490-aa7c-13ac96012dec · inbound

MambaADv2: Evolving Duality-enhanced State Space Model for Unsupervised Anomaly Detection cites this paper.

MambaADv2: Evolving Duality-enhanced State Space Model for Unsupervised Anomaly Detection ZigMa: A DiT-style Zigzag Mamba Diffusion Model

Reference 82

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:49:44.590221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.