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Paper Citation Record · LEDGER

FedSpaLLM: Federated Pruning of Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.14852.

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

pith.paper-citation-record.v1
2410.14852 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:28:10.459632Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T15:25:48.386290Z

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 66fcb4da-b71c-4649-bb04-e6e0c321cd19 · inbound

A Survey on Foundation Models for Personalized Federated Intelligence cites this paper.

A Survey on Foundation Models for Personalized Federated Intelligence FedSpaLLM: Federated Pruning of Large Language Models

Reference 194

Resolution
verified exact
arxiv_id, observed 2026-05-22T15:34:57.839417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T15:32:15.293888Z digest=sha256:a9f45d8974c18480f0f0cc826e2d82acb492519411df05c9ba2703ee5d23ddd7

Observation f153df2c-388a-4aa9-9956-9298035d3f8c · inbound

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud cites this paper.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud FedSpaLLM: Federated Pruning of Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:10.459632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:10.459632Z digest=sha256:de9657b1ec6b2f882debf3c267252727039aa730b3bdfaa348fc9479dfda3b21

Observation 641804a9-ad9b-4dee-9bd4-e1c5364c355d · inbound

When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs cites this paper.

When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs FedSpaLLM: Federated Pruning of Large Language Models

Reference 148

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T15:25:48.388356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-30T01:29:42.919461Z digest=sha256:06c7874bc6b801079229c185eb96f8fe4d6d4b5e218b13428a836779485dbc0d