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Paper Citation Record · LEDGER

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information

As of 23 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 2 inbound Pith citation observations for arXiv:2412.06308.

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

pith.paper-citation-record.v1
2412.06308 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:52:59.803489Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:11:48.720513Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:29:47.157531Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact2
  • verified fuzzy13
  • unresolved24
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ab95c42-6f37-4a5a-bd15-d22b16d7b42b · outbound

This paper cites Are id embeddings necessary? whitening pre-trained text embeddings for effective sequential recommendation,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Are id embeddings necessary? whitening pre-trained text embeddings for effective sequential recommendation,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-11T19:53:01.625327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 8baf30e3-0b22-4cf5-a338-0a2506428172 · outbound

This paper cites LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application

Reference 2

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no resolver link, observed 2026-08-11T19:52:59.617912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5e64d63c-0ab6-4e36-9a5b-4449feecf469 · outbound

This paper cites Actions speak louder than words: Trillion- parameter sequential transducers for generative recommendations,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Actions speak louder than words: Trillion- parameter sequential transducers for generative recommendations,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-11T19:53:01.612130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 84ef7adb-7852-40ff-a7eb-6d44cd23d316 · outbound

This paper cites Scaling user modeling: Large-scale online user representations for ads personalization in meta,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Scaling user modeling: Large-scale online user representations for ads personalization in meta,

Reference 5

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unresolved
no resolver link, observed 2026-08-11T19:52:59.632578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:59.632578Z digest=sha256:74d2e09cd2cd7f1aa887efb97ffe0e2ac4518d4e372bdc214b3157b260185b1a

Observation 755b5b36-f5dd-46ca-86b0-bd3bdbd0ec8e · outbound

This paper cites Pinnerformer: Sequence modeling for user representation at pinterest,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Pinnerformer: Sequence modeling for user representation at pinterest,

Reference 6

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no resolver link, observed 2026-08-11T19:52:59.637064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:59.637064Z digest=sha256:b1503a3fa5837064f3f95f9fa3a4b1c2cb1b303ca6335f3c450a260ea2b9aa23

Observation b9b59353-a443-4b94-aa1b-1232ec6b6cfc · outbound

This paper cites Graph convolutional neural networks for web- scale recommender systems,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Graph convolutional neural networks for web- scale recommender systems,

Reference 7

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no resolver link, observed 2026-08-11T19:52:59.641882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:59.641882Z digest=sha256:71366ba9f0a866a8936dd99d0084738dbc0e11189dd00d6fa0e1ebffcb5c5c04

Observation 2a29817e-9a37-4983-b974-577412723b03 · outbound

This paper cites Map: A model-agnostic pretraining framework for click-through rate prediction,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Map: A model-agnostic pretraining framework for click-through rate prediction,

Reference 8

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verified exact
arxiv_id_nonexistent, observed 2026-08-11T19:53:01.132859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5b397a8e-d3af-4907-85d8-5c908e640c0d · outbound

This paper cites Lightgcn: Simplifying and powering graph convolution network for recommendation,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Lightgcn: Simplifying and powering graph convolution network for recommendation,

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:59.650649Z digest=sha256:711b5280da6e7066a86262398f227c7a3270d5d2f432fb8232661d682db74211

Observation 86ec25d8-c169-4c83-91cd-49c7c11dbe9b · outbound

This paper cites HybridGNN: Learning Hybrid Representation for Recommendation in Multiplex Heterogeneous Networks ,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information HybridGNN: Learning Hybrid Representation for Recommendation in Multiplex Heterogeneous Networks ,

Reference 10

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no resolver link, observed 2026-08-11T19:52:59.655187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:59.655187Z digest=sha256:71f116692a6353f456bf5d2e0c2107de2f58591c21c0693b7de58b39d87a1899

Observation e0914c25-98c3-4578-a18b-9610886b23ea · outbound

This paper cites Instant Representation Learning for Recommendation over Large Dynamic Graphs ,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Instant Representation Learning for Recommendation over Large Dynamic Graphs ,

Reference 11

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malformed identifier
no resolver link, observed 2026-08-11T19:52:59.659684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:59.659684Z digest=sha256:6272cf883b6d74241a0c152eb1b16198f56bfd17f3b51b718e870a860e39950a

Observation c8573961-c99d-4cd5-bdc1-65261babd978 · outbound

This paper cites RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:59.663739Z digest=sha256:1452eb6ef924d132c6ff26aebd2436ede643fa2244838a81d5f6aaf644682e73

Observation b2620cca-ca36-4563-95ae-5e63cd1dac33 · outbound

This paper cites ID-centric Pre-training for Recommendation.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information ID-centric Pre-training for Recommendation

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-11T19:53:00.846030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 31637d00-8d5e-4436-98a3-8bca403cbf0b · outbound

This paper cites A multitask, multilingual, multimodal evaluation of ChatGPT on reasoning, hallucination, and interactivity,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information A multitask, multilingual, multimodal evaluation of ChatGPT on reasoning, hallucination, and interactivity,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:53:01.597872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T19:52:59.673126Z digest=sha256:d5264ccf3e174565a4d4fcd3c75ebf9277422fe6283e68bf3334b8d55ab69a49

Observation 1201ba06-73d6-4722-99b5-ffd7bb1f2df5 · outbound

This paper cites HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling

Reference 15

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no resolver link, observed 2026-08-11T19:52:59.677444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:59.677444Z digest=sha256:0b0b4c4863903e3eb305f9d62ad2088c7f0d9c4a06a5def7e5efdd2e8c937883

Observation ac6bd134-10ea-4070-b100-c7eec697353e · outbound

This paper cites Adapting large language models by integrating collaborative semantics for recommendation,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Adapting large language models by integrating collaborative semantics for recommendation,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:53:01.582759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T19:52:59.682483Z digest=sha256:8d68598e9499aaf9a8e12513ddebaf5df4cbf2136fcb0ca00acb929c96fde43f

Observation 38aebe3f-ba59-443d-beac-c853b6a370cf · outbound

This paper cites Llara: Large language-recommendation assistant,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Llara: Large language-recommendation assistant,

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:59.686712Z digest=sha256:c62ec6c4357418cc5f9c48513b68fa850e7753db81fecc9c97878838b2ce3e23

Observation 837e170f-5a3c-43af-8f45-d3611136ee56 · outbound

This paper cites Recommendation as language processing (rlp): A unified pretrain, personalized prompt & predict paradigm (p5),.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Recommendation as language processing (rlp): A unified pretrain, personalized prompt & predict paradigm (p5),

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:59.691876Z digest=sha256:090ea64d7ead975d61c129322dc3642c45bafde338c45593162016e7846a992e

Observation dcefc91a-d90e-4b27-adfb-5cffbdbff50d · outbound

This paper cites TRAWL: External Knowledge-Enhanced Recommendation with LLM Assistance.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information TRAWL: External Knowledge-Enhanced Recommendation with LLM Assistance

Reference 19

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Observation 75dbe804-0b80-4a69-9ff6-765612bf4ed9 · outbound

This paper cites Towards open-world recommendation with knowledge augmentation from large language models,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Towards open-world recommendation with knowledge augmentation from large language models,

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6ba9a881-fc20-40a9-b4a7-79440309282f · outbound

This paper cites BERT: Pre- training of deep bidirectional transformers for language understanding,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information BERT: Pre- training of deep bidirectional transformers for language understanding,

Reference 21

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 73bf1fc4-0199-4408-92e8-573847dc46e9 · outbound

This paper cites LEGAL-BERT: The muppets straight out of law school,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information LEGAL-BERT: The muppets straight out of law school,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-11T19:53:01.551074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 16c61ee0-acaa-46ce-b369-c1d087a3e6ba · outbound

This paper cites Towards universal sequence representation learning for recommender systems,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Towards universal sequence representation learning for recommender systems,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:53:01.533281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T19:52:59.714052Z digest=sha256:73445e210fb30f679528b4ad9ce2636ed22d7f0411afc48f85a616394a04de2c

Observation ab723a41-b66f-43f6-88bd-efffb1778a12 · outbound

This paper cites Multi- modality is all you need for transferable recommender systems,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Multi- modality is all you need for transferable recommender systems,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-11T19:53:01.520469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T19:52:59.718606Z digest=sha256:c349e38f4a3fa67d9d9d47f7f659aadfa49d9f0a93edd185329564e450861310

Observation dfdf5c48-751e-4eef-93e2-8c3a699253e6 · outbound

This paper cites Collaborative word-based pre-trained item repre- sentation for transferable recommendation,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Collaborative word-based pre-trained item repre- sentation for transferable recommendation,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-11T19:53:01.507077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T19:52:59.723645Z digest=sha256:4506fc12952df820a21de04084430b513952e763d348c1caf4ea987c58f478e5

Observation ea041737-730c-4c03-b769-084d682b46c2 · outbound

This paper cites Multimodal Pre-training Framework for Sequential Recommendation via Contrastive Learning.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Multimodal Pre-training Framework for Sequential Recommendation via Contrastive Learning

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:59.728160Z digest=sha256:dcce9ffa9d140e20510b9369767ea6091b4d606514d349eaf1c441210d423bc3

Observation 5c698d56-ec75-432d-92c6-051f62ff2b63 · outbound

This paper cites Missrec: Pre-training and transferring multi- modal interest-aware sequence representation for recommendation,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Missrec: Pre-training and transferring multi- modal interest-aware sequence representation for recommendation,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-11T19:53:01.492890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T19:52:59.733085Z digest=sha256:8572193393229299d66c3063c6c60eae85ec7485e4cd5d1d4e7a583e414ddd78

Observation e26e97bd-9829-421e-8c5a-edbe50b0277c · outbound

This paper cites Self-supervised graph learning for recommendation,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Self-supervised graph learning for recommendation,

Reference 28

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unresolved
no resolver link, observed 2026-08-11T19:52:59.737352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:59.737352Z digest=sha256:928213a170658308f884b390efc418bad39231ce71f2be23a60bd3827447a400

Observation 095be6d1-a976-41f6-94f6-b7c654cf7785 · outbound

This paper cites Self-supervised learning for large-scale item recommendations,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Self-supervised learning for large-scale item recommendations,

Reference 29

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unresolved
no resolver link, observed 2026-08-11T19:52:59.743073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:59.743073Z digest=sha256:ddbc69b5b46426df7ab3988a24ad1b67ff9dd2078eb41b7e1babcf8821d915d8

Observation b5de4a27-bd71-4f1e-9860-e37d5e4c5756 · outbound

This paper cites Self-attentive sequential recommenda- tion,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Self-attentive sequential recommenda- tion,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:53:01.477616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T19:52:59.749731Z digest=sha256:56075c866725f2a03da53366883959792e88cdccc50fc668efe397fba9704981

Observation b1959623-0e28-49d7-91a5-970a9a5e0519 · outbound

This paper cites Revisiting neural retrieval on accelerators,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Revisiting neural retrieval on accelerators,

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:59.754501Z digest=sha256:0ad32637fd3cc221cc08da9b0c36b9e53da835e7102f1141a90ee60ecfbdb12f

Observation f5814c44-017d-408b-9b6c-b78de834dcb7 · outbound

This paper cites User-LLM: Efficient LLM Contextualization with User Embeddings.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information User-LLM: Efficient LLM Contextualization with User Embeddings

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:59.758710Z digest=sha256:d007ab76a4919a39a5ee7da868d27642bd2e8f59b3162da26654a3dc9b73713f

Observation 376629da-d5cf-450b-a663-7f0c6253aad2 · outbound

This paper cites Attention is all you need,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Attention is all you need,

Reference 33

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no resolver link, observed 2026-08-11T19:52:59.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:59.763990Z digest=sha256:230b45c0e647c99f855fffa9b321567ea7789430b8e321e73871b9f5dd6f88ec

Observation 684c4e90-f6b9-4d9e-8658-7cf416ebdb61 · outbound

This paper cites Meta-optimized joint generative and contrastive learning for sequential recommendation,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Meta-optimized joint generative and contrastive learning for sequential recommendation,

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-11T19:53:01.451368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T19:52:59.768449Z digest=sha256:eda15fd08bdd114f43b1c4614f6ba34e4e9557600f2689fd00b6700c0d9c9bf9

Observation 3b515209-c1fb-498d-9349-e9b4453ea947 · outbound

This paper cites Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer,

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:59.772768Z digest=sha256:45ac72eaa90c86a1e1cd527bf79f61bae0c317970f0bb9ea544bb6680f7ffa3c

Observation adcc9679-636b-4fa9-a504-3edcd652541b · outbound

This paper cites Bpr: Bayesian personalized ranking from implicit feedback,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Bpr: Bayesian personalized ranking from implicit feedback,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:53:01.435930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e2925c61-b8f0-4ea9-90c5-d80999ff326e · outbound

This paper cites Pareto’s 80/20 rule and the gaussian distribution,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Pareto’s 80/20 rule and the gaussian distribution,

Reference 37

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 6c1a1b4c-e9a9-48e7-bebf-6e595e0d4ee8 · outbound

This paper cites Qwen2 Technical Report.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Qwen2 Technical Report

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e8951bd4-3712-44fb-9272-a5ddb7b51efc · outbound

This paper cites The faiss library,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information The faiss library,

Reference 39

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e45ad56a-a2f2-45d2-898c-0a92eed3a53f · outbound

This paper cites Learning deep structured semantic models for web search using clickthrough data,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Learning deep structured semantic models for web search using clickthrough data,

Reference 40

Resolution
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no resolver link, observed 2026-08-11T19:52:59.795105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fd45e669-4cec-4b5f-8d0f-fa0920c29735 · outbound

This paper cites Dual interests-aligned graph auto-encoders for cross-domain recommendation in wechat,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Dual interests-aligned graph auto-encoders for cross-domain recommendation in wechat,

Reference 41

Resolution
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raw_fallback, observed 2026-08-11T19:53:00.016525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5dd37da6-edb0-493d-afdb-51ab5d0edf56 · outbound

This paper cites Dcn v2: Improved deep & cross network and practical lessons for web-scale learning to rank systems,.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information Dcn v2: Improved deep & cross network and practical lessons for web-scale learning to rank systems,

Reference 42

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 7f97644e-cee6-4476-a609-34e24cdf4b09 · inbound

Large Language Model Enhanced Recommender Systems: A Survey cites this paper.

Large Language Model Enhanced Recommender Systems: A Survey PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information

Reference 64

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4f6c8fa2-6b87-44f6-aa71-32772ba9f55e · inbound

VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning cites this paper.

VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:29:47.222272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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