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Paper Citation Record · LEDGER

Federated Adaptation for Foundation Model-based Recommendations

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.04840.

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

pith.paper-citation-record.v1
2405.04840 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:44:46.474508Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T18:42:29.096674Z

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 9aa45321-1ebd-4104-a03d-d11a37bd83ab · inbound

Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks cites this paper.

Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks Federated Adaptation for Foundation Model-based Recommendations

Reference 106

Resolution
unresolved
no resolver link, observed 2026-08-16T10:44:46.474508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:44:46.474508Z digest=sha256:518c891c3cd97b8aa6cf4dffb78894432bfff20707add3f0c746f0f00a2a2039

Observation daf906f3-fb0e-44ec-bd9c-63716435ac31 · inbound

Preserving Privacy and Utility in LLM-Based Product Recommendations cites this paper.

Preserving Privacy and Utility in LLM-Based Product Recommendations Federated Adaptation for Foundation Model-based Recommendations

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-16T04:35:58.281145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:35:58.281145Z digest=sha256:6ea3bfc6213722c17bd511ab9b398e92c2312d79ecb0ebba1b8f553a0bddd220

Observation 472c415d-e3a4-456a-a0be-a40cd7cd5e3b · inbound

A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation cites this paper.

A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation Federated Adaptation for Foundation Model-based Recommendations

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:32:16.603272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T09:28:32.185398Z digest=sha256:88d5fa4274fd6a0a8b95495c7795efb99c3731ccb44152a4122b04a68a659981

Observation 57317941-c1a5-4977-8d4e-e38a82f7d7d9 · inbound

Discrete Prototypical Memories for Federated Time Series Foundation Models cites this paper.

Discrete Prototypical Memories for Federated Time Series Foundation Models Federated Adaptation for Foundation Model-based Recommendations

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T23:35:51.955545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T18:59:18.819953Z digest=sha256:ace1e4e15c2ffd40fff4a90b65a0df7c3d53ca0dc9e5f75156309c1489eabdc2

Observation 536413eb-f481-4202-aa72-a6aca38dfbbf · inbound

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges cites this paper.

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges Federated Adaptation for Foundation Model-based Recommendations

Reference 290

Resolution
verified exact
arxiv_id, observed 2026-06-28T18:42:29.098343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T18:41:06.636352Z digest=sha256:e9b648cdd7d30b756c63a4a4578e8ca72585b5a1bea43b02af02ab1fbcbd34cd