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Paper Citation Record · LEDGER

Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.06324.

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

pith.paper-citation-record.v1
2305.06324 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T17:51:05.465548Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T17:51:05.518227Z

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 d72324c4-0441-4096-931b-d4a3a2ea8736 · inbound

VideoPoet: A Large Language Model for Zero-Shot Video Generation cites this paper.

VideoPoet: A Large Language Model for Zero-Shot Video Generation Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:51:05.522392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T17:51:05.465548Z digest=sha256:96dd2a2955ee9a7c78cf99294fbbfb6d811e2ff6d837bcffde99266ef72bbc3d

Observation d5047d88-99ef-45ce-a71c-502c0d0fabfe · inbound

Learngene Search Across Multiple Datasets for Building Variable-Sized Models cites this paper.

Learngene Search Across Multiple Datasets for Building Variable-Sized Models Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:01:32.908645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T01:21:02.647349Z digest=sha256:3f505c80fce6cc85962078ae55d61be36b497c48e0fa1fe0f40725b43856220a