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Paper Citation Record · LEDGER

Foundation Models for Recommender Systems: A Survey and New Perspectives

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.11143.

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

pith.paper-citation-record.v1
2402.11143 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:03:43.686765Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T20:11:13.451162Z

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 30d5fb3e-a394-420e-9f87-b428414fb268 · inbound

LIBER: Lifelong User Behavior Modeling Based on Large Language Models cites this paper.

LIBER: Lifelong User Behavior Modeling Based on Large Language Models Foundation Models for Recommender Systems: A Survey and New Perspectives

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-12T15:03:43.686765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:03:43.686765Z digest=sha256:0d936eb730c8e345edb3412f0e85fa5229aae4921c4247ff19ec1b4063aeec3a

Observation 301a9a2d-5777-4a59-b6c9-ad79a85bbbd3 · inbound

Large Language Model Enhanced Recommender Systems: A Survey cites this paper.

Large Language Model Enhanced Recommender Systems: A Survey Foundation Models for Recommender Systems: A Survey and New Perspectives

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T13:11:48.577231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:11:48.577231Z digest=sha256:3b0de715649999171187617df2988d091af42501f21bddf306ee293053d6bbfb

Observation 74fba925-147a-4baa-a9e1-d8f00968379c · inbound

Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach cites this paper.

Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach Foundation Models for Recommender Systems: A Survey and New Perspectives

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T05:59:18.678637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:59:18.678637Z digest=sha256:116aabc812aa969a30b5cbfaaa345a7991cb5a275908ff4258d915cc5bcbf1bf

Observation bfe89aee-5c16-439a-bded-0620bd36f54b · inbound

Generative Representational Learning of Foundation Models for Recommendation cites this paper.

Generative Representational Learning of Foundation Models for Recommendation Foundation Models for Recommender Systems: A Survey and New Perspectives

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T01:06:02.585792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:06:02.585792Z digest=sha256:92fd9285a01fc61e13edbea650f26543de5c1c0a6b01be85f36de76445a1fa60

Observation 90589329-e1fc-4f95-abd9-7605d6add936 · inbound

PinFM: Foundation Model for User Activity Sequences at a Billion-scale Visual Discovery Platform cites this paper.

PinFM: Foundation Model for User Activity Sequences at a Billion-scale Visual Discovery Platform Foundation Models for Recommender Systems: A Survey and New Perspectives

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T16:47:31.879332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:47:31.879332Z digest=sha256:47f9c6a399a1c7633c47b443ead7de21fa0b9adb52c437847f300d96275ad84a

Observation 6abef0bd-da42-433e-bf8a-4d21a9c77309 · inbound

Beyond Negative Transfer: Disentangled Preference-Guided Diffusion for Cross-Domain Sequential Recommendation cites this paper.

Beyond Negative Transfer: Disentangled Preference-Guided Diffusion for Cross-Domain Sequential Recommendation Foundation Models for Recommender Systems: A Survey and New Perspectives

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T13:42:44.686099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:42:44.686099Z digest=sha256:8576591700d50083905d2584b1308a07c098fb8026317df23dab86ca913030af

Observation 5529fa05-73f1-48c2-8d43-64ce2f5ebe6e · inbound

RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation cites this paper.

RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation Foundation Models for Recommender Systems: A Survey and New Perspectives

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T11:13:40.033073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T11:13:40.033073Z digest=sha256:587247529aa0204a9c86638541aa86da34a23ab19cd3b6cc41aedb652df51927

Observation a5bf9470-5317-455d-b799-4813b776a6d8 · inbound

Frozen LVLMs for Micro-Video Recommendation: A Systematic Study of Feature Extraction and Fusion cites this paper.

Frozen LVLMs for Micro-Video Recommendation: A Systematic Study of Feature Extraction and Fusion Foundation Models for Recommender Systems: A Survey and New Perspectives

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:11:13.452847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T20:09:45.442172Z digest=sha256:383a41cbd372b562212b85bb8ea4c33e6b6ea08c8448334649c5c53bc196cf92

Observation b9a2c668-b914-4555-9521-4c22477244c5 · inbound

Beyond Item Order: Temporal Gap Tokenization for Generative Recommendation with Semantic IDs cites this paper.

Beyond Item Order: Temporal Gap Tokenization for Generative Recommendation with Semantic IDs Foundation Models for Recommender Systems: A Survey and New Perspectives

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-11T23:02:18.007239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:02:18.007239Z digest=sha256:6ae2329401bfcbff75176d6d215ce574d8bd2be7c05c1b0d44b6376ac1080f51