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Paper Citation Record · LEDGER

Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.03533.

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

pith.paper-citation-record.v1
2408.03533 v2

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 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:47:37.894357Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T19:08:54.385025Z

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 2af58fb7-6f1a-416a-a979-e6ab240cec18 · inbound

A Survey on Sequential Recommendation cites this paper.

A Survey on Sequential Recommendation Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation

Reference 168

Resolution
unresolved
no resolver link, observed 2026-08-11T13:47:37.894357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:47:37.894357Z digest=sha256:02ae84ea832ffd4c7dc08d44841d7d9ca317b0d9980557b2bde8b569395396ba

Observation 95aecbf3-d312-4f75-9917-5c145b119b6f · inbound

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation cites this paper.

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation

Reference 107

Resolution
unresolved
no resolver link, observed 2026-08-10T16:21:30.408542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:21:30.408542Z digest=sha256:d126288f63b9deec5b76b6adb792ae44b63a237a5243d62542983d3c4caed761

Observation 0f83f94b-17ac-434a-83b7-76bbca1e1f4c · inbound

AlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment cites this paper.

AlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-15T14:51:08.388493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T14:50:23.587894Z digest=sha256:79a0b559d584c309f68442423affcd421554b208f7d6ac777b101db17941432c

Observation 798127e3-37b6-45ed-81cf-b35ffa2dcb5a · inbound

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations cites this paper.

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:06:04.915346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T04:09:10.125285Z digest=sha256:b3caa7ff9e7be2e4d3d655d9f9ebaecdff241d299e13ae3444cc8deb84e47804

Observation 5e4aae73-6e9b-41e6-a090-b56e6ca6b8a9 · inbound

Contexting as Recommendation: Evolutionary Collaborative Filtering for Context Engineering cites this paper.

Contexting as Recommendation: Evolutionary Collaborative Filtering for Context Engineering Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:08:54.386797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T19:05:58.638818Z digest=sha256:7946e9d899f42dd522bd5ce8bfd77894410a8978e049bb01b9278b3044b05e3b