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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:03:45.733261Z

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T04:36:32.897387Z digest=sha256:8252f94a36429c750a12b777684b5ebf0877aa2cb6ecfcdb5326c7275cec8361

Observation 982410d3-f8fa-4f95-ae57-6c97400816f8 · inbound

Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation cites this paper.

Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:45.733261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:45.733261Z digest=sha256:00eda6d71f859ca6e35a427d8a1dd9da5b047b1b629f6f3cbe76a1a81c00347d

Observation 14c4e4d3-df6d-4a86-9f62-b27b71c49241 · inbound

Heterogeneous User Modeling for LLM-based Recommendation cites this paper.

Heterogeneous User Modeling for LLM-based Recommendation Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T19:48:14.241423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:48:14.241423Z digest=sha256:d4054e2c11380b9729c809584287c5778b181baafa488051e99805ab0cd32137

Observation 77f520d1-f7b0-4fa8-8eaa-a07249f39381 · inbound

LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models cites this paper.

LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T15:03:57.242651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:57.242651Z digest=sha256:fac2556dcbb1a9e3d07f2646d752b5cdc13756f63242336532e608d210a0cd77

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:d23e0ddf08bbb4e0bc50fc5afefc6176ee36e387ef4433e8cc36cdd6e3b632d7

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T05:43:04.813867Z digest=sha256:3498445d91416a9bb57d6c83521797ce0350cf647e02b4d5e7078d8e1c4dafee

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T04:09:10.125285Z digest=sha256:6dbbdc66884c740c38fa89cdfad45d290ba1c71bf1c341ae85984864c2dde1f4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T20:26:02.884219Z digest=sha256:d13d2f06885532755e14867ff879a5da1a0a2212e9e56651d1befdac621a7c55