Paper Citation Record · LEDGER

RecGPT Technical Report

As of 7 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 16 inbound Pith citation observations for arXiv:2507.22879.

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

pith.paper-citation-record.v1
2507.22879 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:16:05.365085Z

measured 31 of 31 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:29:05.737247Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T11:45:46.931017Z

Reference resolution

15 of 15 outbound references displayed

verified exact1
verified fuzzy0
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7834452f-5152-44db-831f-4a254758c9b2 · outbound

This paper cites A Survey on LLM-as-a-Judge.

RecGPT Technical Report A Survey on LLM-as-a-Judge

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T11:16:04.555321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c602718c-a7a9-44ff-8fd5-886685af0d26 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

RecGPT Technical Report DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T11:16:04.642557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e80e756-06d2-4fc0-942c-2348326119eb · outbound

This paper cites Understanding the Effects of RLHF on LLM Generalisation and Diversity.

RecGPT Technical Report Understanding the Effects of RLHF on LLM Generalisation and Diversity

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T11:16:04.694338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69389ba1-530c-41c8-ac76-cd77989d4bf5 · outbound

This paper cites an unresolved cited work.

RecGPT Technical Report Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T11:16:05.830479Z

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.

Observation 853d0677-3c55-4a9a-a6d4-051914be2033 · outbound

This paper cites LLM-as-a-Judge & Reward Model: What They Can and Cannot Do.

RecGPT Technical Report LLM-as-a-Judge & Reward Model: What They Can and Cannot Do

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T11:16:04.989126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1576350-4c9a-4f54-bcae-7fcecb8cd1d3 · outbound

This paper cites Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library.

RecGPT Technical Report Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T11:16:05.122488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3937cac2-4572-4f58-ba6d-c01b67824eb3 · outbound

This paper cites Qwen3 Technical Report.

RecGPT Technical Report Qwen3 Technical Report

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T11:16:05.204069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8b2e8f2-8d63-476c-91d6-e9393a28425a · outbound

This paper cites Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.

RecGPT Technical Report Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-06T11:16:04.349891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cf8f86f-a7d1-4d19-a680-31338f82a45f · outbound

This paper cites A Survey of Large Language Models.

RecGPT Technical Report A Survey of Large Language Models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T11:16:05.365085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89508a75-c5c4-4b99-a2e0-b798d2b9cdeb · outbound

This paper cites Can You Trust LLM Judgments? Reliability of LLM-as-a-Judge.

RecGPT Technical Report Can You Trust LLM Judgments? Reliability of LLM-as-a-Judge

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T11:16:04.910071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f51d3cb-f1b7-47e0-bc17-ef198a5105ab · outbound

This paper cites an unresolved cited work.

RecGPT Technical Report Unresolved cited work

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T11:16:04.841256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 658553b0-eaa9-4430-b6b3-3e4263d9a86d · outbound

This paper cites Explainable Recommendation with Simulated Human Feedback.

RecGPT Technical Report Explainable Recommendation with Simulated Human Feedback

Reference 2022

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:16:05.546442Z

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.

Observation 78fd9cf5-fe74-41da-8608-823498e8de66 · outbound

This paper cites ReasonGRM: Enhancing Generative Reward Models through Large Reasoning Models.

RecGPT Technical Report ReasonGRM: Enhancing Generative Reward Models through Large Reasoning Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T11:16:04.410798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b80af6a-a94c-4a6f-823f-b5ec635b7628 · outbound

This paper cites OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment.

RecGPT Technical Report OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T11:16:04.464301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15550386-8982-4554-9c6c-a04763a0b231 · outbound

This paper cites Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge.

RecGPT Technical Report Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T11:16:05.269040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation dbe74e58-6933-45c8-a279-8bafc97037fb · inbound

End-to-End Semantic ID Generation for Generative Advertisement Recommendation cites this paper.

End-to-End Semantic ID Generation for Generative Advertisement Recommendation RecGPT Technical Report

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:54:51.369089Z

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.

Observation a539da48-e0ed-4135-9830-3dff778ca73d · inbound

Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation cites this paper.

Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation RecGPT Technical Report

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:01:18.545449Z

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.

Observation cf07e376-531f-4c49-abf0-784ccb87d738 · inbound

Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation cites this paper.

Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation RecGPT Technical Report

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T19:15:42.538475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1761e97c-cfcd-4b4d-b7ff-cc560670e9bd · inbound

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation cites this paper.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation RecGPT Technical Report

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:11:06.350122Z

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.

Observation e6cd1214-0fe8-4794-8ce5-b8f8a7c16e8c · inbound

TriAlignGR: Triangular Multitask Alignment with Multimodal Deep Interest Mining for Generative Recommendation cites this paper.

TriAlignGR: Triangular Multitask Alignment with Multimodal Deep Interest Mining for Generative Recommendation RecGPT Technical Report

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:10:43.279029Z

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.

Observation c3dab975-0f7c-4b71-994e-c28666930dce · inbound

TriAlignGR: Triangular Multitask Alignment with Multimodal Deep Interest Mining for Generative Recommendation cites this paper.

TriAlignGR: Triangular Multitask Alignment with Multimodal Deep Interest Mining for Generative Recommendation RecGPT Technical Report

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:53:51.776646Z

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.

Observation 5e5f76cb-45d9-4905-a91b-c76f7e0e2c20 · inbound

TriAlignGR: Triangular Multitask Alignment with Multimodal Deep Interest Mining for Generative Recommendation cites this paper.

TriAlignGR: Triangular Multitask Alignment with Multimodal Deep Interest Mining for Generative Recommendation RecGPT Technical Report

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:15:09.176885Z

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.

Observation c2eaf12f-2a03-490b-b76b-633412618814 · inbound

UniVA: Unified Value Alignment for Generative Recommendation in Online Advertising at Tencent cites this paper.

UniVA: Unified Value Alignment for Generative Recommendation in Online Advertising at Tencent RecGPT Technical Report

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:16:26.110422Z

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.

Observation 6bfb5df0-0b2b-451d-b2e7-c3b76388936e · inbound

UniVA: Unified Value Alignment for Generative Recommendation in Online Advertising at Tencent cites this paper.

UniVA: Unified Value Alignment for Generative Recommendation in Online Advertising at Tencent RecGPT Technical Report

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T14:47:55.623805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c82946dd-0c45-4680-8c8f-d9ef25c2b6cb · inbound

RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation cites this paper.

RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation RecGPT Technical Report

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:10:53.888963Z

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.

Observation 4643fff0-c3ea-488c-8d70-ea594e228ded · inbound

Fine-Tuned LLM as a Complementary Predictor Improving Ads System cites this paper.

Fine-Tuned LLM as a Complementary Predictor Improving Ads System RecGPT Technical Report

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:23:28.734184Z

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.

Observation 92d8e531-0873-40e9-88b3-9089d893fc36 · inbound

ShopX: A Foundation Model for Intent-to-Item Fulfillment in Agentic Shopping cites this paper.

ShopX: A Foundation Model for Intent-to-Item Fulfillment in Agentic Shopping RecGPT Technical Report

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-01T11:45:46.932546Z

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.

Observation d1accd12-3e32-422e-b37f-f4e2c9fb224e · inbound

ShopX: A Foundation Model for Intent-to-Item Fulfillment in Agentic Shopping cites this paper.

ShopX: A Foundation Model for Intent-to-Item Fulfillment in Agentic Shopping RecGPT Technical Report

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:02.243348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e799aab-d462-43d2-aba5-8b96e08d57cf · inbound

RECAP: Feedback-Driven Streaming Semantic User Profiles for Short-Video Recommendation cites this paper.

RECAP: Feedback-Driven Streaming Semantic User Profiles for Short-Video Recommendation RecGPT Technical Report

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T22:32:08.011090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24fbce6e-3601-4a53-9cc7-eb2115760de6 · inbound

When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis cites this paper.

When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis RecGPT Technical Report

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-01T05:55:13.735634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ff71233-cd3d-48fa-a7d4-ec5d605ed51a · inbound

LLM-Based Generative Retrieval for Snapchat Content Recommendation cites this paper.

LLM-Based Generative Retrieval for Snapchat Content Recommendation RecGPT Technical Report

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T01:29:05.737247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.