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Paper Citation Record · LEDGER

WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.17503.

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

pith.paper-citation-record.v1
2406.17503 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 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:50:19.629283Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:41:44.920006Z

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 58b3016f-81f4-4910-b8e2-2936558862a5 · inbound

SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning cites this paper.

SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T17:27:07.614365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:27:07.614365Z digest=sha256:eacd938090cc19f315d0f24d00fab76c693838d1f8fc5cff735b272819da373a

Observation b43cea1b-bd8e-41a7-b3f0-081e8798a1fe · inbound

GENE-FL: Gene-Driven Parameter-Efficient Dynamic Federated Learning cites this paper.

GENE-FL: Gene-Driven Parameter-Efficient Dynamic Federated Learning WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T11:50:19.629283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:50:19.629283Z digest=sha256:69d3fe882cc9c1b2be24c961145697bb66600dc809980c11694ccdbdf1fab513

Observation ccb0609b-dbb3-4f96-b16a-78222aebada9 · inbound

Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning cites this paper.

Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-16T06:07:33.290738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:07:33.290738Z digest=sha256:d85e68321b79cfb5a56699aa2f83bf0a4028e2bba3d789b50832e253ccac8345

Observation 1645c199-146a-4897-910e-bac736c52528 · inbound

Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge cites this paper.

Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models

Reference 2024

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:41:45.019297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:41:40.522210Z digest=sha256:f32d4306d86367e4a8715f9edca71c95e8aa3c7e06f596102fe7ace75fb4ca48