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Paper Citation Record · LEDGER

GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2304.03879.

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

pith.paper-citation-record.v1
2304.03879 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 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 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:35:39.892041Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:28:48.389697Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • 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 b77671fd-d9e4-42ee-bf9f-365276cbffc3 · inbound

Hallucinations are inevitable but can be made statistically negligible cites this paper.

Hallucinations are inevitable but can be made statistically negligible GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:42:25.831520Z

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=2026-05-23T02:41:59.640979Z digest=sha256:89b7d843956e6e46c2e6856ed4c1bec0e83b4a6232c5316015715359514e94ec

Observation 3e1729ba-ac6a-40c6-93a9-e42356ec9d2a · inbound

GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation cites this paper.

GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T11:35:39.892041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:35:39.892041Z digest=sha256:0e3375154aa78c4c3a472d8302db1391f192f83e6f1a6b4a0ed783088b4a83f9

Observation 5852da57-f441-420c-9194-3c8ae48f0a80 · inbound

Architecture is All You Need: Improving LLM Recommenders by Dropping the Text cites this paper.

Architecture is All You Need: Improving LLM Recommenders by Dropping the Text GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 9

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unresolved
no resolver link, observed 2026-08-06T23:53:55.761970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:53:55.761970Z digest=sha256:43ed8b52bc5d76776f5abc6e20e586fa48a006971f58ac7330ac7fcb85196549

Observation 3898939a-803c-4bef-b330-1e6d4fa7d26b · inbound

RecLLM-R1: A Two-Stage Training Paradigm with Reinforcement Learning and Chain-of-Thought v1 cites this paper.

RecLLM-R1: A Two-Stage Training Paradigm with Reinforcement Learning and Chain-of-Thought v1 GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T23:12:32.288506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:12:32.288506Z digest=sha256:7632e9a446b31ff709cd95874c515b9ea92c1be32d201107f8e63f78e1b97cbd

Observation b19397bb-0600-4e7a-90f7-de522b43cab0 · inbound

CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems cites this paper.

CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T23:04:14.129052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:04:14.129052Z digest=sha256:7d120418d71ee5fb9068fc599b4cd801ec3e9eb218be5afe26fb1c2fa0f0dc0a

Observation 8b5370f7-3f98-4f25-a0de-4da1942b86ef · inbound

Generative Multi-Target Cross-Domain Recommendation cites this paper.

Generative Multi-Target Cross-Domain Recommendation GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T16:41:38.411496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:41:38.411496Z digest=sha256:be13b868bbbcbe72b5639b4f2094237470ba323c73a8caa59d52e4aee517e3ca

Observation ffc48f35-356f-43f5-9aa1-bcce36717a89 · inbound

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization cites this paper.

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T15:55:20.824447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:20.824447Z digest=sha256:b9366202e7feaf5f9bb5c32212183f13a2ebcccbc9848bee929dfdb1a167af76

Observation 66e078cb-3a32-4c17-802b-68eca18f9cc1 · inbound

Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders cites this paper.

Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T15:17:52.811002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:17:52.811002Z digest=sha256:6209cd1424410dd82719bce6714cf6b9f4765000fc2ff82cbb5e559dedcb32b0

Observation 196881af-44f6-4bad-affb-7c52e28665fc · inbound

Improving the Performance of Sequential Recommendation Systems with an Extended Large Language Model cites this paper.

Improving the Performance of Sequential Recommendation Systems with an Extended Large Language Model GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T13:53:58.298841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:53:58.298841Z digest=sha256:91aa80766871ce4d355d54f18e9829414b7beda7d77ed80da88da3e86d74d946

Observation b4bf5f92-5a0a-4af7-8425-66eb26d4aff9 · inbound

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

Efficient Item ID Generation for Large-Scale LLM-based Recommendation GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T10:46:49.203408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:46:49.203408Z digest=sha256:a3757a5d895d65405064a907e28deb1fb95697f1422a2d1192491286f2f1f97f

Observation 34536199-543b-48ca-b535-12c7e6e659cc · inbound

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations cites this paper.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T23:54:00.567764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:54:00.567764Z digest=sha256:899b6bf535ed74422d32808fc1fcc99c7a63ccb632f9f756b6ed61fd51b56f87

Observation e1e2a640-15b0-4689-b4df-78e99ec81943 · inbound

Understanding Generative Recommendation with Semantic IDs from a Model-scaling View cites this paper.

Understanding Generative Recommendation with Semantic IDs from a Model-scaling View GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T13:46:14.907258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:46:14.907258Z digest=sha256:4d8ce5ee7e72f54486775b90ea97ce4a2fc37f010734acd1d7c1ff71626831d0

Observation 95888562-5da7-4f56-8594-85e20caa2adf · inbound

SHERLOCK: Towards Dynamic Knowledge Adaptation in LLM-enhanced E-commerce Risk Management cites this paper.

SHERLOCK: Towards Dynamic Knowledge Adaptation in LLM-enhanced E-commerce Risk Management GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T10:43:24.517821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:43:24.517821Z digest=sha256:e11b1731e4f299d6201f9d5020e218611056ad7030a10eb2fc8af5eb1adaa7c3

Observation 146641c3-67f6-40b5-84ca-860bfa8ed712 · inbound

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation cites this paper.

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:51:00.970667Z

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=2026-05-10T15:46:48.150861Z digest=sha256:7c66e1302c8ffa6c4323a672bec8e36a20e65872306b97d906ba3b49a0284f76

Observation afa287a5-1fa0-422e-8063-b8a9e4194198 · inbound

LLMAR: A Tuning-Free Recommendation Framework for Sparse and Text-Rich Industrial Domains cites this paper.

LLMAR: A Tuning-Free Recommendation Framework for Sparse and Text-Rich Industrial Domains GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:18:26.524450Z

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=2026-05-15T01:16:10.008948Z digest=sha256:ae4179c259ef023adf022a316216247a4bd4e1301fe3e7973099670ccbd51180

Observation 2297e880-1188-4990-a24d-c778fdcb9fb7 · inbound

LLMAR: A Tuning-Free Recommendation Framework for Sparse and Text-Rich Industrial Domains cites this paper.

LLMAR: A Tuning-Free Recommendation Framework for Sparse and Text-Rich Industrial Domains GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T17:37:38.514995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:37:38.514995Z digest=sha256:5c7e985c47f0819d739a08f0457e2875cadb11c6b67eba1b1614ba7e631962a9

Observation cc7971e6-7db7-4ecd-8ec5-f5f7db35b4fc · inbound

From Passive Feeds to Guided Discovery: AI-Initiated Interaction for Vague Intent in Content Exploration cites this paper.

From Passive Feeds to Guided Discovery: AI-Initiated Interaction for Vague Intent in Content Exploration GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:09:30.819823Z

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=2026-05-14T22:08:18.893624Z digest=sha256:095365b4c100b447d35f5df2eb1926cf264d6e2e28a218b0d6878bac05620063

Observation 00c97d90-0ca5-4ad5-9188-4a2d5b6ff7d2 · inbound

RcLLM: Accelerating Generative Recommendation via Beyond-Prefix KV Caching cites this paper.

RcLLM: Accelerating Generative Recommendation via Beyond-Prefix KV Caching GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 4

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verified exact
arxiv_id, observed 2026-05-11T03:55:56.403844Z

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=2026-05-11T02:07:29.141193Z digest=sha256:6463cc65195595760506e6d699223aad120611b84cd80c92e935ade4058279f4

Observation e70b045b-3061-4a12-a4f3-665774cc7a21 · inbound

Agent4POI: Agentic Context-Conditioned Affordance Reasoning for Multimodal Point-of-Interest Recommendation cites this paper.

Agent4POI: Agentic Context-Conditioned Affordance Reasoning for Multimodal Point-of-Interest Recommendation GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:37:41.385034Z

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=2026-05-19T17:36:33.004577Z digest=sha256:b406217fbd9ab04dd0856b09d8d73e99212e2104093a7e4fc94c1c4846577bb2

Observation c64e30f1-dd8c-4ab9-9711-6c47021e71da · inbound

Towards Sustainable Growth: A Multi-Value-Aware Retrieval Framework for E-Commerce Search cites this paper.

Towards Sustainable Growth: A Multi-Value-Aware Retrieval Framework for E-Commerce Search GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-20T00:52:54.855976Z

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=2026-05-20T00:48:49.792353Z digest=sha256:899538d111c10b71cd8be055fdc1dcfc7983b73445bb415b118f520828c9f7ef

Observation ae96bd3c-8603-4021-b5b2-5457efb6da24 · inbound

A Reproducibility Analysis of PO4ISR: Diagnosing and Mitigating Semantic Drift in LLM-Based Session Recommendation cites this paper.

A Reproducibility Analysis of PO4ISR: Diagnosing and Mitigating Semantic Drift in LLM-Based Session Recommendation GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T00:49:19.538207Z

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=2026-05-21T00:45:14.845401Z digest=sha256:14a77dd1d8f0adb8c12d40e3d896eb4ca59b6ebd845b8320d090e4204fe26e97

Observation 99ad37ef-535b-49ae-b74a-ecde9d85b341 · inbound

LRanker: LLM Ranker for Massive Candidates cites this paper.

LRanker: LLM Ranker for Massive Candidates GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-29T10:33:18.838566Z

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=2026-06-29T10:30:39.472561Z digest=sha256:1aedabaa5c8ebd61b29445a71828ce9399877475ad1aa1858a729bcd4ae04259

Observation 8bf75cb9-2526-44cd-b7b0-b1adde236897 · inbound

CoPersona: Collaborative Persona Graphs for Robust LLM Personalization cites this paper.

CoPersona: Collaborative Persona Graphs for Robust LLM Personalization GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-03T18:28:48.392265Z

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=2026-07-03T18:20:53.930801Z digest=sha256:5b46ec93cafaa856528ea143129964f06a6209fd9fbfba1b6f9d02be84ee3877

Observation e23a9e14-a96d-490b-bd11-1b55d11d0130 · inbound

RecRec: Recursive Refinement for Sequential Recommendation cites this paper.

RecRec: Recursive Refinement for Sequential Recommendation GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 13

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no resolver link, observed 2026-07-14T10:57:10.309919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:57:10.309919Z digest=sha256:563844704eebbefb0477708902c57e28bb9c18c116453c25468da3c12fe78bab

Observation a483fb8c-1684-4b53-9b14-e9ad5ea6605e · inbound

RecRec: Recursive Refinement for Sequential Recommendation cites this paper.

RecRec: Recursive Refinement for Sequential Recommendation GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T07:17:32.891408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:17:32.891408Z digest=sha256:56f545c3aba35078ccd4136807c1a10937d11cbf48a2e9ddd06a33c0a213911f

Observation 5ecea4a0-efeb-4beb-ac13-06195df012d3 · inbound

Empowering Cross-Domain Sequential Recommendation with Hybrid Tokenization and Serial-Parallel Decoding cites this paper.

Empowering Cross-Domain Sequential Recommendation with Hybrid Tokenization and Serial-Parallel Decoding GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:17.026489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:49:17.026489Z digest=sha256:ed9a838b3941aad173a465403c73f912ec1f46d71d7b87ea6151dff5779d0ad6