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Paper Citation Record · LEDGER

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2203.13366.

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

pith.paper-citation-record.v1
2203.13366 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T06:02:36.252240Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:28:18.576502Z

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 529a185a-7b74-4d93-a1cc-4f2246c23c99 · inbound

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models cites this paper.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.252240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.252240Z digest=sha256:790c6d6b95d49057181c17185eeb0be0cc287f31153a694e791779c0ca474338

Observation 52cb7f8d-fee6-4b10-a62a-23a4ec3381c0 · inbound

From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language Queries cites this paper.

From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language Queries Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T00:45:21.605434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:45:21.605434Z digest=sha256:c0395d58b6cbe6063d49966ca5e6ae51c28a4f1520bcaab1ad23db4fd53329c0

Observation 2d335a7e-d778-43b1-a30d-7e02d9c8a367 · inbound

Instruction-Based Fine-tuning of Open-Source LLMs for Predicting Customer Purchase Behaviors cites this paper.

Instruction-Based Fine-tuning of Open-Source LLMs for Predicting Customer Purchase Behaviors Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T10:07:33.784343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T10:07:33.784343Z digest=sha256:112ae451d3aab71d054572619361bedb71b6d9c9ad56fd35f2b427b949fc5c8c

Observation 7ea61762-54ce-42de-a947-b4c296e2e021 · inbound

RecCoT: Enhancing Recommendation via Chain-of-Thought cites this paper.

RecCoT: Enhancing Recommendation via Chain-of-Thought Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T22:42:44.225175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:42:44.225175Z digest=sha256:3ba4639e8286c156faa95a4883df02cf63b6feb115d6ddb528914807dc3077fa

Observation 078084fe-efd1-4754-9043-c56412f913cd · 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 Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T15:03:57.163219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:57.163219Z digest=sha256:9933e4b66ed0ceb57f4a6641896ecff7001705525eee5e91107059e68093e42c

Observation 468b9e33-be18-469f-b283-a7dd9571ba32 · inbound

Efficient Item ID Generation for Large-Scale LLM-based Recommendation cites this paper.

Efficient Item ID Generation for Large-Scale LLM-based Recommendation Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T10:46:47.588242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:46:47.588242Z digest=sha256:e98185cc0c722e4a34d7f547ec69a9784a6f11d23f6d2907b543ff7484b4cd9b

Observation c5373665-19c8-446c-bab0-9e96a6be1599 · inbound

Benchmark Leakage Trap: Can We Trust LLM-based Recommendation? cites this paper.

Benchmark Leakage Trap: Can We Trust LLM-based Recommendation? Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T23:32:08.109768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T23:32:08.109768Z digest=sha256:56988307df5b88708146cdac1edecaa50793494368f068d6c2468784cf4f616e

Observation 37f560cc-5f68-4853-9cb2-4870a08510c3 · inbound

TwiSTAR:Think Fast, Think Slow, Then Act,Generative Recommendation with Adaptive Reasoning cites this paper.

TwiSTAR:Think Fast, Think Slow, Then Act,Generative Recommendation with Adaptive Reasoning Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:42:03.702231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-13T01:40:04.856714Z digest=sha256:9c8630f3da04efcf8bfb700b65357ae6e5c19ef4bceda5d956452bd69209f251

Observation 35bfc90c-3647-4dac-9c60-3804894c084b · inbound

Substrate Asymmetry in User-Side Memory: A Diagnostic Framework cites this paper.

Substrate Asymmetry in User-Side Memory: A Diagnostic Framework Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:57.059676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-27T09:58:16.639702Z digest=sha256:b2295e1e23b636bbefaeeaa8e0ded1796395692f6ff93db68541a7fb197287e0

Observation cf35eee5-c367-4e49-8855-830c33602170 · inbound

LLM-Based User Personas for Recommendations at Scale cites this paper.

LLM-Based User Personas for Recommendations at Scale Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:28:18.578322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T08:07:27.059673Z digest=sha256:4277032c85aee6b599f1dcb3f703190bfb62288aae91fdf734e3dec304970a39

Observation ed14c0c6-e11e-47f6-b544-9b53ad89846e · inbound

LLM-Based User Personas for Recommendations at Scale cites this paper.

LLM-Based User Personas for Recommendations at Scale Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T11:48:19.676286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:48:19.676286Z digest=sha256:665295a995d73b5b7479dfd0f13fdb941e1fa0018ad048aadd462352fde8c3e3

Observation 15605609-715f-4544-bec3-bbf6c3ad755f · inbound

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery cites this paper.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-14T01:13:45.038679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T01:13:45.038679Z digest=sha256:bb9e60849cee044c0ddffd156c49bbabf78adad3632dea20aa00db8600e5fbd6

Observation 186259eb-3ccb-4ec3-afd6-fa2ddeb21fcf · inbound

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery cites this paper.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-02T07:33:12.470577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:12.470577Z digest=sha256:b251ea07bca3b2bdcaf37cd59d62c2799ecea2ea6c5eb8f986131ae856ac46f5

Observation bc0d6440-06cb-47b4-990c-78dc0a021bef · inbound

Bridging the Information Gap: Semantic Densification and Hindsight Distillation for Cold-Start Prediction cites this paper.

Bridging the Information Gap: Semantic Densification and Hindsight Distillation for Cold-Start Prediction Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T19:13:14.777715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:13:14.777715Z digest=sha256:afb47dad83f6045b04f5da89c4d7bb0b7df888153bf3d4b4adedcd56c0fa5527