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Paper Citation Record · LEDGER

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

As of 5 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2605.04726.

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

pith.paper-citation-record.v1
2605.04726 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T16:28:47.356432Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

  • verified exact13
  • verified fuzzy0
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a1be9ae4-9ca3-4c1c-8545-14226e31ee2c · outbound

This paper cites GPT-4 Technical Report.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation GPT-4 Technical Report

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-11T18:11:06.399121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:554d894f36cc6383a5cd4c5fed4a481cb57db539737d0473e4924fc03b31cb26

Observation c529e7a7-7581-4ea2-a3da-71c2e50b1c38 · outbound

This paper cites Qwen Technical Report.

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

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-11T18:11:06.425909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:a205eed54de03a4e2b423719bb9363d2d7d7c211c08cc9f0c36bcc266a8d86d6

Observation 14e3cb8d-beee-4bc9-b37e-cb921a997fef · outbound

This paper cites an unresolved cited work.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-05-26T09:52:08.138111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:f844f34085879b63892336575ec902fc153a395102bbb2129d1e35eec9658a6f

Observation 9d4093dd-74b3-4ce3-b12f-d447b583bd5a · outbound

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

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-12T18:30:36.120082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:f589698fd8816c33d536af9f8632046149cfdc8a2245b204661304422210b0a6

Observation 286f874b-f384-426e-8d0c-5f8a36c706cf · outbound

This paper cites an unresolved cited work.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-26T09:52:08.123304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:476b1b03c0b0238cb6890fc0200202b70273e8c5ccdb7d760b3ec02856aeea25

Observation 1fc28de4-30ee-44c0-9202-11d5c686e5f5 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-11T18:11:06.387718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:f11796870afa4397069552e29e243ad1a6be9e74452760debfaa285c12583d5d

Observation 867e35fb-721c-4283-851e-99e788399c7b · outbound

This paper cites an unresolved cited work.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-26T09:52:08.104152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:5089460d4c685428d31ffffe5d2890459f54a0485cf407adce5db974379384db

Observation 35c0b7c8-d560-4da8-b25e-a9e5c5ea7151 · outbound

This paper cites an unresolved cited work.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-05-26T09:52:08.131740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:bf2256dc027d66eb86970545cc71dfa2bb7183ad981a8ce99d07684e4a4a195e

Observation 0452de36-52e1-4654-8596-73b8005f1fe7 · outbound

This paper cites On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:11:06.412805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:e78c8592410e58d2587f5e850e906906d3bed4f71f7e08898983880a99201dca

Observation 8ca5240f-6ea7-423a-b755-8dd4906de8b6 · outbound

This paper cites DeepFM: A Factorization-Machine based Neural Network for CTR Prediction.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:11:06.434783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:4ac9809e81755285cc4d14403353177d307dd93e266bab0355421bb9afe72bc3

Observation 09df67e0-0139-4268-b2f1-168a2614d3e4 · outbound

This paper cites Learning both Weights and Connections for Efficient Neural Networks.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation Learning both Weights and Connections for Efficient Neural Networks

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:11:06.355163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:7d70cd9c9ddda8340543bdb43e8eb1d912992854785af13d45917b9fba787e46

Observation 37d94292-41af-4a17-80e1-132dcd545044 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation Distilling the Knowledge in a Neural Network

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-11T18:11:06.394065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:6870b0e7588da8af022c7f456d077d4f1ee48ef7d041d2f833e51449f27440bb

Observation 5f522be4-cc10-44e5-af72-06f592b258d7 · outbound

This paper cites an unresolved cited work.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-05-26T09:52:08.095742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:65598520dbbd76285c5ad1d7c80221535ed1292892df77ea74b1131457fb698a

Observation 615021c1-0c1d-496e-b683-52da01eb59ba · outbound

This paper cites DeepSeek-V3 Technical Report.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation DeepSeek-V3 Technical Report

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-11T18:11:06.377345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:382104a0a062107cad5156c8c16bb75dc64a388b7644215c9903be04112af207

Observation 60a72a45-1fde-4c0d-9a99-3be115c63f11 · outbound

This paper cites an unresolved cited work.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-05-26T09:52:08.108865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:016bd2f4f0ac95dfd64be8b4cf3db41f194a10c75b021f922b99a90bd2f6994d

Observation 78d92730-dacd-4204-bc46-010a497a7245 · outbound

This paper cites an unresolved cited work.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-05-26T09:52:08.118658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:9c20a2900255267c9f5e4c706525413849774a9f6a25c464d6cc0e10a08b3f2c

Observation 0f08e20a-e942-4700-87ad-5d569d4efc94 · outbound

This paper cites an unresolved cited work.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-05-26T09:52:08.099924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:819521358e35bac5391db2a84342cc597cc4e12251451a573b63545a28476afe

Observation e9335463-790e-4527-9e70-f84f341676a1 · outbound

This paper cites an unresolved cited work.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-05-26T09:52:08.128072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:b43e304d55825cc791d2ea97b16917eb8973528d2b49f8cebd81eac7e90e06ef

Observation 9cde4a4a-b275-4ef9-b6eb-1df3f31b6460 · outbound

This paper cites On-Device Language Models: A Comprehensive Review.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation On-Device Language Models: A Comprehensive Review

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:11:06.383067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:4c967483d7147b958d33fd0b125654f88a841010c826e375411e788979841801

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

This paper cites RecGPT Technical Report.

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:c8accaa51779879870d63d46b6589f8b98b6781fcf117dccce430195216dffeb

Observation d863818e-a63a-4797-9095-b3abdc304079 · outbound

This paper cites an unresolved cited work.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-05-26T09:52:08.090587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:be19c9862d04205d3ed675fa70847243243c113755c2ef3ecf2d555fb392ae2a

Observation 9ebad168-ba2d-4714-bb30-420100777458 · outbound

This paper cites an unresolved cited work.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation Unresolved cited work

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:11:06.366043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:aaf2ff58c25c33f36a0aa022cd0a7a814d493bccda287cf2e37c359581cf7884

Observation 7d74bb81-0846-406b-a648-b9e354fff993 · outbound

This paper cites Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:39:33.082504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:373bb0154141394991ae073a7ad115259b298e1fe0fd671fde7ed4c9e36b6352

Observation a7af198e-633a-4634-bc6f-1ccc5577ab59 · outbound

This paper cites an unresolved cited work.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-05-26T09:52:08.113975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:28:47.356432Z digest=sha256:925be3f6c85cfe957269e24e82c0ab68972dd15926abf5a218f7885445617141

Pith citing papers

No inbound Pith citation observations are available.