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Paper Citation Record · LEDGER

KIND: Knowledge Integration and Diversion for Training Decomposable Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.07337.

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

pith.paper-citation-record.v1
2408.07337 v2

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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:50:19.634607Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:41:44.688842Z

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 a63ad466-0cc2-49b0-8b70-77c90cdde832 · 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 KIND: Knowledge Integration and Diversion for Training Decomposable Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T17:27:07.739455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:27:07.739455Z digest=sha256:52bc9cf155f0f7b870e65acb12ce4134566a91b585d4dcd3e935f4666844f0a1

Observation 3c696693-ca2e-4b58-8754-63cd58b44e51 · inbound

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

GENE-FL: Gene-Driven Parameter-Efficient Dynamic Federated Learning KIND: Knowledge Integration and Diversion for Training Decomposable Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T11:50:19.634607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:50:19.634607Z digest=sha256:10c21ac3d7cb1891be96b4425c260cb755a2e7c69d63f3300d28b4ab56956679

Observation 3bef57c0-aeb3-4952-b7ef-f3ecf620a886 · inbound

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

Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning KIND: Knowledge Integration and Diversion for Training Decomposable Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T06:07:33.295230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:07:33.295230Z digest=sha256:1c5297d3fab97deafd1766829ded4c1eeb975c9c507ae96f9ea8603900cd3c52

Observation 996b9d26-f958-4d91-8ac7-493294c8f537 · inbound

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

Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge KIND: Knowledge Integration and Diversion for Training Decomposable Models

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:41:44.756302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:41:43.487929Z digest=sha256:b2ccccdbed2c2aa0fa32160cfe704d0eaa436eca602fd4161233061abc54ee71