Pith. sign in

Paper Citation Record · LEDGER

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.10933.

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

pith.paper-citation-record.v1
2306.10933 v4

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 2026-08-06T06:34:29.942622+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:02:16.915972Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:37:31.913567Z

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 b304ea35-fc49-4204-bbda-05525f345cbb · inbound

RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models cites this paper.

RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:37:31.917220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T04:36:32.897387Z digest=sha256:0f2fc5ad88b3e56e32b644c12f16a8476a15890205b933bc8db3b3d6401029f6

Observation 4f2bf63b-a2a3-4733-b1ba-97548e91f5c2 · inbound

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation cites this paper.

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T18:02:16.915972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:02:16.915972Z digest=sha256:f466803a075c7b27f3afc91c5cd59153c279a09d695ef52f7728ae53e495af52

Observation e233e529-875f-4ef0-a6db-6362c192e88b · inbound

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:56:11.515841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T05:43:04.813867Z digest=sha256:d8b31335aad30a82e44a380dd7cb64a53a4d83760c119ed76368cf113de72f81

Observation 6ca26298-a0d0-4f96-9318-6330effd58f4 · inbound

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

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:06:04.716353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T04:09:10.125285Z digest=sha256:c879417239c25e1b14f95952c2bfa506b49eb768bfa39d72ea6ac91da583e5d7

Observation 6240edbb-d1af-4a4c-ad4a-c13d7b082a8a · inbound

Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation cites this paper.

Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:16:07.108357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T20:26:02.884219Z digest=sha256:d991ecaa6b221789bad63f747d624230d0ff7bd9160410c32fe5aaca8992047d