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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 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 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:42:44.225175Z

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 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=sha256:81565a017e275cdf327a1e661cf29551a6a415dbb70fd679baa6962ba672d39b

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=sha256:918e8324f4d84b130bfdaaa2d129bc97f3aa479816df9685440e09915b6acfa5

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=sha256:146cb998127dc4bc041cfb9fb111ed922d0ca8b2fba4d0e7d31cb4082597e584

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=sha256:3000410170396aea6371c10362df185f8e5f271a09b8a8bcd54c287397886d45

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T01:40:04.856714Z digest=sha256:db7f249137105c6a97b720d26b99cf20670353ac2b4793754133d40b23d376f5

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T09:58:16.639702Z digest=sha256:cc82acc330af32b26452979469fba02133f8a94c1464d1eef8c5c9b5e10fcdf0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T08:07:27.059673Z digest=sha256:a816a25a6a733bf4449719a65f839a8a84c739f4e9dc31072928c24dca55fee6

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=sha256:0745dcd1812e5f3f44e98ecc646083d75a58694ab4c77e76e4a0b9d2acba52bd

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=sha256:4475aa1791b41d62f68146cd055841b70dfb06a609edf09154f1c6860a4c6d6f

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=sha256:57bf3048377127e8c80ae111f943813a8fad468aa126fae98d6abbe3bad9520c

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:e2241153bbd9b933fb2558b8d1610dd13d6ed26efb172c5040a50e777dbca20e