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Paper Citation Record · LEDGER

A Survey on LLM-based News Recommender Systems

As of 10 August 2026, this Paper Citation Record lists 100 of 104 outbound references and 2 inbound Pith citation observations for arXiv:2502.09797.

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

pith.paper-citation-record.v1
2502.09797 v2

Coverage vector

measured 100 of 104 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:29:26.764891Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T23:04:03.682459Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:07:08.455378Z

Reference resolution

100 of 104 outbound references displayed

  • verified exact5
  • verified fuzzy61
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5a3963ff-8f09-4ab7-a000-cdb805e70354 · outbound

This paper cites NPA: Neural news recommendation with personalized attention,.

A Survey on LLM-based News Recommender Systems NPA: Neural news recommendation with personalized attention,

Reference 1

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source=pdf_text observed=2026-08-07T20:29:26.178143Z digest=sha256:f9e2e807abe8c2ea76b920b7eb5cca1ff907bd9cbb1836814d6f394785ad29d6

Observation 6beeb580-cb26-4169-9351-da18c053c5b6 · outbound

This paper cites Drn: A deep reinforcement learning framework for news recommendation,.

A Survey on LLM-based News Recommender Systems Drn: A deep reinforcement learning framework for news recommendation,

Reference 2

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source=pdf_text observed=2026-08-07T20:29:26.185413Z digest=sha256:98021d2431cc42a15baa5c754f8c7c1839a05cf80784fbab0839ba32b09d22fa

Observation 84c20cf4-3733-4d8f-871f-77f7a03dd489 · outbound

This paper cites Personalized news recommendation: Methods and challenges,.

A Survey on LLM-based News Recommender Systems Personalized news recommendation: Methods and challenges,

Reference 3

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Observation 9b115235-f59c-414e-991f-e9ee141c68e0 · outbound

This paper cites DKN: Deep knowledge-aware network for news recommendation,.

A Survey on LLM-based News Recommender Systems DKN: Deep knowledge-aware network for news recommendation,

Reference 4

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Observation 870dd949-1207-420d-81dc-b4aa6bd4e236 · outbound

This paper cites Fine-grained interest matching for neural news recommendation,.

A Survey on LLM-based News Recommender Systems Fine-grained interest matching for neural news recommendation,

Reference 5

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Observation 762cbbb1-2a5c-4dd4-827e-5b00f933ec4b · outbound

This paper cites Neural news recommendation with topic-aware news representation,.

A Survey on LLM-based News Recommender Systems Neural news recommendation with topic-aware news representation,

Reference 6

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source=pdf_text observed=2026-08-07T20:29:26.315435Z digest=sha256:d4e75212ba04125bd31f4e9a423f7c67fe34e8ea7a02bda8c87ffa8ff796a813

Observation c6b9423b-0f81-45bc-b7ac-f42d86dad402 · outbound

This paper cites Neural news recommendation with long-and short-term user represen- tations,.

A Survey on LLM-based News Recommender Systems Neural news recommendation with long-and short-term user represen- tations,

Reference 7

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Observation 88cad664-e6ac-479c-a1e8-c99d4671b68c · outbound

This paper cites News recommendation via multi-interest news sequence modelling,.

A Survey on LLM-based News Recommender Systems News recommendation via multi-interest news sequence modelling,

Reference 8

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Observation bde3d05f-dc41-4582-9b22-cf75a35d069d · outbound

This paper cites Graph neural news recommendation with long-term and short-term interest modeling,.

A Survey on LLM-based News Recommender Systems Graph neural news recommendation with long-term and short-term interest modeling,

Reference 9

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Observation 0212c497-43a8-4d2f-9b6e-d36760529322 · outbound

This paper cites Neural news recommen- dation with collaborative news encoding and structural user encoding,.

A Survey on LLM-based News Recommender Systems Neural news recommen- dation with collaborative news encoding and structural user encoding,

Reference 10

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source=pdf_text observed=2026-08-07T20:29:26.335022Z digest=sha256:a81df5cd90fb5a76e46467c325032c4000b11e6ac93223d2c58d17c51a3c03ad

Observation 760e1563-cf46-4b44-8b82-e1938a667b04 · outbound

This paper cites Graph neural news recommendation with user existing and potential interest modeling,.

A Survey on LLM-based News Recommender Systems Graph neural news recommendation with user existing and potential interest modeling,

Reference 11

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Observation 6482306e-2ddd-4661-81aa-67ba7036a3da · outbound

This paper cites Intention-aware user modeling for personalized news recommendation,.

A Survey on LLM-based News Recommender Systems Intention-aware user modeling for personalized news recommendation,

Reference 12

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Observation dc999ae2-9869-49ea-9d8a-4dc897e94f14 · outbound

This paper cites Attention is all you need,.

A Survey on LLM-based News Recommender Systems Attention is all you need,

Reference 13

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source=pdf_text observed=2026-08-07T20:29:26.349600Z digest=sha256:051d046b2b4b8b52054cbb2a9a60104615897077ec7553e5595ff83031f1a0de

Observation d871f637-0e5f-4b11-9e1f-1a675ce5db87 · outbound

This paper cites Fastformer: Additive Attention Can Be All You Need.

A Survey on LLM-based News Recommender Systems Fastformer: Additive Attention Can Be All You Need

Reference 14

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source=pdf_text observed=2026-08-07T20:29:26.354312Z digest=sha256:f50a6d993807e4a95c225dc349a816d87f624c3e790c2f0375c467709e45d37a

Observation b8b57fca-f9b4-4ee1-ac98-c5e50c8811c8 · outbound

This paper cites Empowering news recommendation with pre-trained language models,.

A Survey on LLM-based News Recommender Systems Empowering news recommendation with pre-trained language models,

Reference 15

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Observation 3044fe4b-ca59-4fcf-a037-a12bd3d4f0cb · outbound

This paper cites Multimodal recommender systems: A survey,.

A Survey on LLM-based News Recommender Systems Multimodal recommender systems: A survey,

Reference 16

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source=pdf_text observed=2026-08-07T20:29:26.364041Z digest=sha256:3d86a9fc55ba2a5152fb4365855ba49b9c6b75a0e96584d44f07c4c843005222

Observation a8c9f692-ac7c-401f-a6b7-b8a3dc140e76 · outbound

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

A Survey on LLM-based News Recommender Systems Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 17

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source=pdf_text observed=2026-08-07T20:29:26.369254Z digest=sha256:06de2f7b1dac1fad2fa7bb06a1d6d11e75e4945295889087eac24c7ef199bc1f

Observation c705553f-a9b0-4378-8a38-e22917736081 · outbound

This paper cites Transformers: State-of-the-art natural language processing,.

A Survey on LLM-based News Recommender Systems Transformers: State-of-the-art natural language processing,

Reference 18

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Observation 6cb71c94-8275-4c7c-bb8e-dfb64a6f1a4b · outbound

This paper cites A survey on large language models for recommendation,.

A Survey on LLM-based News Recommender Systems A survey on large language models for recommendation,

Reference 19

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Observation 1d07023c-7eaa-496d-84a9-28e22c8a5a9c · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

A Survey on LLM-based News Recommender Systems RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 20

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Observation c4b7bbdd-2672-4134-9327-932ca4d46809 · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

A Survey on LLM-based News Recommender Systems BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 21

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Observation f3771b40-9e59-414a-8c99-b5e2ea2ad119 · outbound

This paper cites Mtrec: Multi-task learning over bert for news recommendation,.

A Survey on LLM-based News Recommender Systems Mtrec: Multi-task learning over bert for news recommendation,

Reference 22

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Observation c8ba9336-8ea2-40ce-ad08-5cb8116fe0a2 · outbound

This paper cites MINER: Multi-interest matching network for news recommendation,.

A Survey on LLM-based News Recommender Systems MINER: Multi-interest matching network for news recommendation,

Reference 23

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Observation 2dee24ea-07d3-4978-93f2-4da49f1da268 · outbound

This paper cites Unitrec: A unified text-to-text transformer and joint contrastive learning framework for text-based recommendation,.

A Survey on LLM-based News Recommender Systems Unitrec: A unified text-to-text transformer and joint contrastive learning framework for text-based recommendation,

Reference 24

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Observation 58633adc-c8fe-4508-8760-607ecdb6bd60 · outbound

This paper cites Amm: Attentive multi-field matching for news recommendation,.

A Survey on LLM-based News Recommender Systems Amm: Attentive multi-field matching for news recommendation,

Reference 25

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Observation ba54273c-4113-41ae-a2e4-33ba02eb8fe0 · outbound

This paper cites NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application.

A Survey on LLM-based News Recommender Systems NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application

Reference 26

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source=pdf_text observed=2026-08-07T20:29:26.412865Z digest=sha256:b3832de6c146849de69c1e3c5360ea317768ca450e092eb177a6882c35d138ac

Observation 36ada171-93e5-4d41-9faa-ff102915293a · outbound

This paper cites Unbert: User-news matching bert for news recommendation.

A Survey on LLM-based News Recommender Systems Unbert: User-news matching bert for news recommendation

Reference 27

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Observation 39a5b070-654c-485c-99d1-a5c9a9645b8e · outbound

This paper cites Generative news recommendation,.

A Survey on LLM-based News Recommender Systems Generative news recommendation,

Reference 28

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source=pdf_text observed=2026-08-07T20:29:26.423206Z digest=sha256:54e482c80cc5027e950e376b1df62d7f9fa338961991c58d62189874ac323a65

Observation 3fee0397-3d70-4897-988e-79fbd3b1ecdf · outbound

This paper cites Rewriting bias: Mitigating media bias in news recommender systems through automated rewriting,.

A Survey on LLM-based News Recommender Systems Rewriting bias: Mitigating media bias in news recommender systems through automated rewriting,

Reference 29

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Observation 429f4b44-fa36-4619-b48f-24b5f4b8a672 · outbound

This paper cites Lkpnr: Large language models and knowledge graph for personalized news recommendation framework.

A Survey on LLM-based News Recommender Systems Lkpnr: Large language models and knowledge graph for personalized news recommendation framework

Reference 30

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source=pdf_text observed=2026-08-07T20:29:26.432006Z digest=sha256:6303924088133365379ed0225716b956a79823f41fe9ecd6fa9d8178ca0afb21

Observation 7d7068b5-c8c2-4042-b4ed-43118516b04d · outbound

This paper cites A survey of personalized news recommendation,.

A Survey on LLM-based News Recommender Systems A survey of personalized news recommendation,

Reference 31

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source=pdf_text observed=2026-08-07T20:29:26.436009Z digest=sha256:4e41857a9b608249b9580b07e296cc03385b74fde3af1eed37b3ac2c64a6eab6

Observation d4e6947e-77f3-49d9-8656-3443772e8c60 · outbound

This paper cites A survey on knowledge- aware news recommender systems,.

A Survey on LLM-based News Recommender Systems A survey on knowledge- aware news recommender systems,

Reference 32

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source=pdf_text observed=2026-08-07T20:29:26.440359Z digest=sha256:c5a4aec54b9221b77d200c741e4ffae9dbf1bf943a01832258a715bfaa875157

Observation 66228d0e-6a6e-4281-b0d5-0b0db6dc0fb1 · outbound

This paper cites Dan: Deep atten- tion neural network for news recommendation,.

A Survey on LLM-based News Recommender Systems Dan: Deep atten- tion neural network for news recommendation,

Reference 33

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.445090Z digest=sha256:611563cbd75c7c9334c0a0bd742f627b9bb07345a5ab800c5efb49cd0758d602

Observation 9810819e-d0c0-4783-ae0d-d4726f732d58 · outbound

This paper cites Wg4rec: Modeling textual content with word graph for news recommendation,.

A Survey on LLM-based News Recommender Systems Wg4rec: Modeling textual content with word graph for news recommendation,

Reference 34

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.450354Z digest=sha256:33c1563cb654e86af1522362287127d0c7860e8049011181db1ad8606cf92ade

Observation 60d8bf5a-c1ad-49cf-b1ea-4d994f5af89c · outbound

This paper cites Hram: A hybrid recurrent attention machine for news recommendation,.

A Survey on LLM-based News Recommender Systems Hram: A hybrid recurrent attention machine for news recommendation,

Reference 35

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source=pdf_text observed=2026-08-07T20:29:26.454675Z digest=sha256:4c2fc3bbda67ecc402bae6a5f1fb46ce680d36afc54593ab589e57d32e711a6e

Observation 62659bef-d0c7-4221-bbe9-1a7370e7f602 · outbound

This paper cites Trnews: Heterogeneous user-interest transfer learning for news recommendation,.

A Survey on LLM-based News Recommender Systems Trnews: Heterogeneous user-interest transfer learning for news recommendation,

Reference 36

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source=pdf_text observed=2026-08-07T20:29:26.458759Z digest=sha256:b163c37a89a9106b745122e890031f3625488a4143635bd88c4b8af5556f4d8b

Observation e061e288-235d-495e-bd2c-616032c8d71c · outbound

This paper cites Embedding-based news recommendation for millions of users,.

A Survey on LLM-based News Recommender Systems Embedding-based news recommendation for millions of users,

Reference 37

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.463050Z digest=sha256:1313f2a202156452a1568262421a57b9ce0e9b68faa75ead843ed3e73fc6db43

Observation 0a7d98f6-4048-41ad-a437-67569ccebe87 · outbound

This paper cites Time-aware attentive neural network for news recommendation with long-and short- term user representation,.

A Survey on LLM-based News Recommender Systems Time-aware attentive neural network for news recommendation with long-and short- term user representation,

Reference 38

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raw_fallback, observed 2026-08-07T20:29:27.938732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.468198Z digest=sha256:5a9846a651851af71bd559bd9d9bc1d61ca521e24e7d6be8ec0501338dc21f79

Observation 412d3bd0-4e85-4e58-936e-1f6494cb3fdf · outbound

This paper cites News recommendation with topic-enriched knowledge graphs,.

A Survey on LLM-based News Recommender Systems News recommendation with topic-enriched knowledge graphs,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.924738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.472522Z digest=sha256:1956c5de8f90fda9c89007481be51826bf456427efeb4f13a506eb42c16ab48c

Observation 0ec07ee0-5c0e-4e90-b689-bab0cf8d3435 · outbound

This paper cites Weave&rec: A word embedding based 3-d convolutional network for news recommendation,.

A Survey on LLM-based News Recommender Systems Weave&rec: A word embedding based 3-d convolutional network for news recommendation,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.910976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.477225Z digest=sha256:670a6d88418621f7f16cd819a0c951afcda9ee3f3ae31db3828151dcbc3a6c8e

Observation f5fac137-8725-441d-87bb-c46795fd5239 · outbound

This paper cites Deep neural networks for news recommendations,.

A Survey on LLM-based News Recommender Systems Deep neural networks for news recommendations,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.897269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.482675Z digest=sha256:ad217bcf7ab70c94de65e1cf7ee30a84b71c293c10b42604ea034ca9b2383720

Observation 758a9b5c-7d43-452c-ae2d-7cc2a9ce9b79 · outbound

This paper cites Chameleon: a deep learning meta-architecture for news recommender systems,.

A Survey on LLM-based News Recommender Systems Chameleon: a deep learning meta-architecture for news recommender systems,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.882407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.487275Z digest=sha256:392963146a3ac4d71c5f8396e1bff884fc0bbe46d03f1ab9f162015ba6ebc239

Observation 8eadef9d-a616-464f-bd49-b9c959407d07 · outbound

This paper cites Neural news recommendation with multi-head self-attention,.

A Survey on LLM-based News Recommender Systems Neural news recommendation with multi-head self-attention,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.867636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.491877Z digest=sha256:8cee59e228c6dfe31a07664ead95072f2dd7cfad4aeecb1796f331dfd9e7ffa6

Observation 0dca8d58-ac78-4827-99e2-5c2911140439 · outbound

This paper cites Dynamic attention-integrated neural network for session-based news recommendation,.

A Survey on LLM-based News Recommender Systems Dynamic attention-integrated neural network for session-based news recommendation,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.853435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.496001Z digest=sha256:1fa4c51f4198cd38f128c07525e306ed26c32ce54eae59ca78849070537aa129

Observation efcfc597-7315-40ed-be10-a1b2b8054227 · outbound

This paper cites Dynamic news recommenda- tion with hierarchical attention network,.

A Survey on LLM-based News Recommender Systems Dynamic news recommenda- tion with hierarchical attention network,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.839490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.500623Z digest=sha256:ef09cec8ef5789e6e9a68cd2d8add4a1c5da3f54a908d1b76a8d4f4a2845e865

Observation 85440772-a314-49b0-8fce-a7b95977ead2 · outbound

This paper cites Si-news: Integrating social information for news recommendation with attention-based graph convolutional net- work,.

A Survey on LLM-based News Recommender Systems Si-news: Integrating social information for news recommendation with attention-based graph convolutional net- work,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.825419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.505505Z digest=sha256:1e0f1d611bcd8058834297591cb9a4bd39bb590a6243361bafb9947ba807e6e4

Observation a1c997bc-1b13-4fe8-9e2b-c56703a5b3e9 · outbound

This paper cites Graph enhanced representation learning for news recommendation,.

A Survey on LLM-based News Recommender Systems Graph enhanced representation learning for news recommendation,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.811077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.510133Z digest=sha256:56a4639ba6c717206352c573f765740e49eb0dd09f3efa3aaff0882d7c01e9cf

Observation 00361495-0bcc-4eea-b2cf-16c1789c40a3 · outbound

This paper cites Joint knowledge pruning and recurrent graph convolution for news recommendation,.

A Survey on LLM-based News Recommender Systems Joint knowledge pruning and recurrent graph convolution for news recommendation,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.797367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.515242Z digest=sha256:c3056a601a421a8d9b9fa23b1a10311d035d022dab07745963715bf62e2e261a

Observation 8087ec50-30a4-49b0-97f1-ba5f507bc93a · outbound

This paper cites Rein- forced anchor knowledge graph generation for news recommen- dation reasoning,.

A Survey on LLM-based News Recommender Systems Rein- forced anchor knowledge graph generation for news recommen- dation reasoning,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.782818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.519583Z digest=sha256:99bbf6b8c26a0e42bb8c9eff384b30f9b497c310f5bf2c7aecc3f4c3352b4e49

Observation 50fed401-4c42-42e8-a8d2-420ad0cb22b4 · outbound

This paper cites Kred: Knowledge-aware document representation for news recommendations,.

A Survey on LLM-based News Recommender Systems Kred: Knowledge-aware document representation for news recommendations,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.767420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.524836Z digest=sha256:19bdb1065b719abd1ad7164df45e3b2a49a04d68c2791965fc84d9a0059f8441

Observation 0ab3e044-fd11-4c1e-8a73-52f869fc1f90 · outbound

This paper cites Knowledge-guided article embedding refinement for session-based news recommenda- tion,.

A Survey on LLM-based News Recommender Systems Knowledge-guided article embedding refinement for session-based news recommenda- tion,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.753048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.529062Z digest=sha256:0a53aed113dab894a8446c122e03e18a79bd4a5da3ce77cee362d78d28899ea8

Observation cdda7c7e-86db-4fac-9834-13039e8e63fa · outbound

This paper cites Neural news recommendation with attentive multi-view learning,.

A Survey on LLM-based News Recommender Systems Neural news recommendation with attentive multi-view learning,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.737985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.533245Z digest=sha256:5a0d0e6f33de79320409b6df252dcb3612be80541a0378081b43dd00a3c962d2

Observation bb1b3bd5-c520-4527-8336-6c8ce9c1e701 · outbound

This paper cites Aspect-driven user preference and news representation learning for news recommendation,.

A Survey on LLM-based News Recommender Systems Aspect-driven user preference and news representation learning for news recommendation,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.722183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.538466Z digest=sha256:9c8d9bedc65ce654ff3a1344020848d5c79002934a14cd70b55ce5515a33c4c5

Observation 78d9c381-a532-4a19-9d81-bfb2c5e8d2fc · outbound

This paper cites Hi-fi ark: Deep user representation via high-fidelity archive network.

A Survey on LLM-based News Recommender Systems Hi-fi ark: Deep user representation via high-fidelity archive network

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.708097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.543071Z digest=sha256:f8858b54cfce756b389dd31ef0cff0664a32d9cbca3b2d053747a87ee7f0d72d

Observation 39333e6e-7dc9-41ad-90d8-9609ef1145fe · outbound

This paper cites Neural news recommendation with heterogeneous user behavior,.

A Survey on LLM-based News Recommender Systems Neural news recommendation with heterogeneous user behavior,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.692610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.548260Z digest=sha256:42ff87893d7ca39b8bf71c97ae55e61303bf2bd96a9ee5cef0cf410df864d094

Observation 1aa91d93-1927-4b90-98f2-be1fca474dc6 · outbound

This paper cites Towards better rep- resentation learning for personalized news recommendation: A multi-channel deep fusion approach,.

A Survey on LLM-based News Recommender Systems Towards better rep- resentation learning for personalized news recommendation: A multi-channel deep fusion approach,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.678560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.552474Z digest=sha256:84f178abf7e42780ced87ec3f959df135cf649ab044bb5995be5d46090b44ada

Observation 7e3f855b-748b-4945-b397-0b8f662d5a93 · outbound

This paper cites HieRec: Hierarchical user interest modeling for personalized news recommendation,.

A Survey on LLM-based News Recommender Systems HieRec: Hierarchical user interest modeling for personalized news recommendation,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.665058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.556513Z digest=sha256:b2d1fa62a09ddae1d581032399d54944f815eb1a44378c9859d08e63d0753261

Observation b7e73925-fd0e-4671-96e6-3f5e533afa46 · outbound

This paper cites Pp-rec: News rec- ommendation with personalized user interest and time-aware news popularity,.

A Survey on LLM-based News Recommender Systems Pp-rec: News rec- ommendation with personalized user interest and time-aware news popularity,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.650648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.561046Z digest=sha256:a01bdea45243300a4bb8eb4ca28645f4907fb0ee6fc67a2463462d802d1ba94e

Observation 444221a9-9811-4fa5-9a0f-06a6b0649322 · outbound

This paper cites News recommendation with candidate-aware user mod- eling,.

A Survey on LLM-based News Recommender Systems News recommendation with candidate-aware user mod- eling,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.636562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.565660Z digest=sha256:ed43d4df51b50b55ed1cae7288281c0f7f27b0de0810da6f21742b503c1cf7e7

Observation ebafb6fb-e629-4fd1-b5be-b0183f54da1a · outbound

This paper cites Popularity-enhanced news recommendation with multi-view interest representation,.

A Survey on LLM-based News Recommender Systems Popularity-enhanced news recommendation with multi-view interest representation,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.623157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.570965Z digest=sha256:e082bb02ed977198d0d8e37ebf87473d92e719de9ff10d48686684cc52feff96

Observation d93393d7-c865-476c-a5d8-6c56ad3b05d6 · outbound

This paper cites Intention nets: Psychology-inspired user choice behavior mod- eling for next-basket prediction,.

A Survey on LLM-based News Recommender Systems Intention nets: Psychology-inspired user choice behavior mod- eling for next-basket prediction,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.608485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.575441Z digest=sha256:582507cfa7b358156390278227beaa453ab02833527e04abe08d73cb09408521

Observation fac5e695-0bc2-49d9-800b-ab02bedff6a2 · outbound

This paper cites Sentirec: Sentiment diversity-aware neural news recommendation,.

A Survey on LLM-based News Recommender Systems Sentirec: Sentiment diversity-aware neural news recommendation,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.593340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.580660Z digest=sha256:0d45b5f2d13569fd2a3c76b60d27c5d51a98e5cc351a3cb95216d64c81944e2f

Observation 9b97c333-4962-4e71-a6ae-739e2ea0fa30 · outbound

This paper cites Removing ais sentiment manipulation of personalized news delivery,.

A Survey on LLM-based News Recommender Systems Removing ais sentiment manipulation of personalized news delivery,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.578622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.585160Z digest=sha256:cb2f1474b97898257241c6530d6ccbbe1ef0a3685456fad0840650e55e4ef99d

Observation 00adc51f-0546-4151-912d-ca46be960650 · outbound

This paper cites Fairness-aware news recommendation with decomposed adversarial learning,.

A Survey on LLM-based News Recommender Systems Fairness-aware news recommendation with decomposed adversarial learning,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.563277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.590825Z digest=sha256:4b5b0ff9265075a656b57b486644240252c39f6e50fa79c588bb78475c552ebd

Observation 748f5f43-8cf6-4af4-903c-b15aa917d480 · outbound

This paper cites A hierarchical and disentangling interest learning framework for unbiased and true news recommendation,.

A Survey on LLM-based News Recommender Systems A hierarchical and disentangling interest learning framework for unbiased and true news recommendation,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.549187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.595239Z digest=sha256:b8b794650c052fb0d2dc1bd3944a4c62115b129e49c06b9e2f9298df1df88bba

Observation 7c47ff0e-468a-4700-8129-c15eb1af2755 · outbound

This paper cites Privacy-Preserving News Recommendation Model Learning.

A Survey on LLM-based News Recommender Systems Privacy-Preserving News Recommendation Model Learning

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T20:29:26.599864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:29:26.599864Z digest=sha256:699319cb29fb98e4edd6391fed6ade653846400f4a9ee2257e8aa31fd57486e2

Observation cd4e5c7a-3b39-4558-b255-bd192993f7a3 · outbound

This paper cites Efficient- fedrec: Efficient federated learning framework for privacy- preserving news recommendation,.

A Survey on LLM-based News Recommender Systems Efficient- fedrec: Efficient federated learning framework for privacy- preserving news recommendation,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.534016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.604718Z digest=sha256:8276cd97a0fea8eab5dae6eca25050e72d3062a1f2754209530e07eeaf99de45

Observation 5aac8fb3-4fe7-466e-a4ce-71f02f8fd0e0 · outbound

This paper cites User modeling with click preference and reading satisfaction for news recommendation.

A Survey on LLM-based News Recommender Systems User modeling with click preference and reading satisfaction for news recommendation

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.519807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.610124Z digest=sha256:7563e96da9b1e54e9b1836ad6169f2550af80d6c284b9ef18fc5c32f06f95b91

Observation d9fae255-8586-4883-b55a-7d521204ccc0 · outbound

This paper cites Personal or general? a hybrid strategy with multi-factors for news recommendation,.

A Survey on LLM-based News Recommender Systems Personal or general? a hybrid strategy with multi-factors for news recommendation,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.504864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.615286Z digest=sha256:21ef7080a40450aca47e2c429ba4b5d30f7d3fa7b7c5577b228a71008c34e3e2

Observation 26aa8076-2210-4730-b773-0013cbf8e340 · outbound

This paper cites Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation.

A Survey on LLM-based News Recommender Systems Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T20:29:26.619368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:29:26.619368Z digest=sha256:b91b37aff027e04dfd16e76738818ea67bcbb4931ad63488dd1b410f9be8185e

Observation ab828e86-8e5f-455e-91e5-9598329b901d · outbound

This paper cites NewsRecLib: A PyTorch-Lightning Library for Neural News Recommendation.

A Survey on LLM-based News Recommender Systems NewsRecLib: A PyTorch-Lightning Library for Neural News Recommendation

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T20:29:26.624942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:29:26.624942Z digest=sha256:3f741db3657542874f9b751c348168b25c5b653322e3f31a96334e064090c182

Observation 86b5c0f1-1fcf-4344-84bd-02859674d992 · outbound

This paper cites News Recommendation with Category Description by a Large Language Model.

A Survey on LLM-based News Recommender Systems News Recommendation with Category Description by a Large Language Model

Reference 72

Resolution
verified exact
local_arxiv, observed 2026-08-07T20:29:26.993646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.629279Z digest=sha256:4ba7753b9d37c3faa6ccd67467caba74442953377bfa01bd7a84012841483c54

Observation 291f4de6-55e6-4c43-a7b0-7eeb0ad3d3fe · outbound

This paper cites Once: Boost- ing content-based recommendation with both open-and closed- source large language models,.

A Survey on LLM-based News Recommender Systems Once: Boost- ing content-based recommendation with both open-and closed- source large language models,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.489340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.635080Z digest=sha256:6ddfce709f4a160406aae3843566ea4d8d4054a7b7ab250e917cd07c33416d39

Observation 55a09e83-61cf-493f-8a60-b941025fe8ed · outbound

This paper cites Modeling user viewing flow using large language models for article recommendation,.

A Survey on LLM-based News Recommender Systems Modeling user viewing flow using large language models for article recommendation,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.474053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.639517Z digest=sha256:a1bd6efda9e3b10fda6c88ccfb475a7efcc776ba9e1ea1cea7bdf5c36eed1f38

Observation c22babab-6427-446c-83ba-e270d7a440ea · outbound

This paper cites Tiny-newsrec: Effective and efficient plm-based news recommendation,.

A Survey on LLM-based News Recommender Systems Tiny-newsrec: Effective and efficient plm-based news recommendation,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.458784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.643980Z digest=sha256:4bacc79146443242712bc233e7e689988ba84ad0cb8ddc02fc59a54e37a45050

Observation ce67bb9c-f6c6-4a47-bc70-618f7c7f7a54 · outbound

This paper cites Training large-scale news recommenders with pre- trained language models in the loop,.

A Survey on LLM-based News Recommender Systems Training large-scale news recommenders with pre- trained language models in the loop,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.442876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.648203Z digest=sha256:dd1e0201550dba91c034c689fa95074ffce1abedf8cd38925ccd864cb000fb1b

Observation 8459209e-fefd-4d72-ab62-e4ba16d527ac · outbound

This paper cites RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models.

A Survey on LLM-based News Recommender Systems RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models

Reference 77

Resolution
verified exact
local_arxiv, observed 2026-08-07T20:29:26.969989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.652333Z digest=sha256:6cfc7493544b7abfdbb6091479ea5c3cee858a48782712564fd3db293ba4e493

Observation 03da08e3-07b8-426a-85f1-1e01a4d7aee7 · outbound

This paper cites CherryRec: Enhancing News Recommendation Quality via LLM-driven Framework.

A Survey on LLM-based News Recommender Systems CherryRec: Enhancing News Recommendation Quality via LLM-driven Framework

Reference 78

Resolution
verified exact
local_arxiv, observed 2026-08-07T20:29:26.947946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.656653Z digest=sha256:44b7940698f0b767f7139378301caa03c45d163e571560c7e57ac594d3377088

Observation 37bc6531-e9ff-4f41-a6ca-8a477937b4a3 · outbound

This paper cites Streamingrec: a framework for benchmarking stream-based news recom- menders,.

A Survey on LLM-based News Recommender Systems Streamingrec: a framework for benchmarking stream-based news recom- menders,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.429075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.660938Z digest=sha256:0b330953ddb8e810b4e6eb08e7943a2923dfabd37186557c158ae34017faca0f

Observation 9dde4158-8218-449a-b976-014cd85f1b2f · outbound

This paper cites Accurate news recommen- dation coalescing personal and global temporal preferences,.

A Survey on LLM-based News Recommender Systems Accurate news recommen- dation coalescing personal and global temporal preferences,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.414186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.665186Z digest=sha256:a90aa65698565e326c10b34d34a4abd8ecbbdcf25903d921b82aa442acef80cf

Observation dc9687d2-5a9e-4da1-8f17-b9519b79f671 · outbound

This paper cites Dynamic hierarchical attention network for news recommendation,.

A Survey on LLM-based News Recommender Systems Dynamic hierarchical attention network for news recommendation,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.400007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.669568Z digest=sha256:3307dc3c7252d078681c8b3a03cac98ac16d214667372ae8229fd4e3a0ba903c

Observation 9f1d4520-921b-4dae-abda-089e4ccbcf83 · outbound

This paper cites Fair multi- stakeholder news recommender system with hypergraph rank- ing,.

A Survey on LLM-based News Recommender Systems Fair multi- stakeholder news recommender system with hypergraph rank- ing,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.385058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.674701Z digest=sha256:3e43530f5ddb31a59926cf723f6d9bb7cb0661774a63a91ea8a57bd9b3610095

Observation a3698280-deae-43e7-b481-77a5b41e2147 · outbound

This paper cites Lancer: A lifetime- aware news recommender system,.

A Survey on LLM-based News Recommender Systems Lancer: A lifetime- aware news recommender system,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.369328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.679790Z digest=sha256:5bf963287cc60b8bb39de8b2d2ab9888b8e00e18c9f2702804092373e9f9cd49

Observation 67a2ff38-ac22-4f40-87bb-35eeab0a879d · outbound

This paper cites News session-based recommendations using deep neural net- works,.

A Survey on LLM-based News Recommender Systems News session-based recommendations using deep neural net- works,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.353451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.684374Z digest=sha256:3c46a48547e3cc62463b6c3197eec299fba1ac7d2d66855993af2638caee6881

Observation 13ebaef0-5f0c-4833-9929-f0a184d5c365 · outbound

This paper cites The plista dataset,.

A Survey on LLM-based News Recommender Systems The plista dataset,

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.337494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.688823Z digest=sha256:40c66e612f06aa0ba0b07b30e6a55d35786384891e8e46138b4852bca373aba6

Observation 9e79dfac-e64d-4adb-9d60-29f09c682be5 · outbound

This paper cites The adressa dataset for news recommendation,.

A Survey on LLM-based News Recommender Systems The adressa dataset for news recommendation,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.321629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.693879Z digest=sha256:225a3f7ef59bbeba039e3a2e3c8d8a81d0945393b63d719c325f32a8ad514319

Observation 8d8fbb25-c484-461c-82e7-329a40f628bd · outbound

This paper cites MIND: A large-scale dataset for news recommendation,.

A Survey on LLM-based News Recommender Systems MIND: A large-scale dataset for news recommendation,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.305966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.698441Z digest=sha256:ce6bc2ce51ab6661281d96c432184524d93ee9b70927d11881a0c348926ba6ab

Observation d5be0551-0199-4ced-8f3b-3055495feb9c · outbound

This paper cites Npr: a news portal recommendations dataset.

A Survey on LLM-based News Recommender Systems Npr: a news portal recommendations dataset

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.290897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.703556Z digest=sha256:1bae2954e949b2893014df2d5168a8805faa95ceff3513c3a71903ecaac26230

Observation 45ce6a58-93f6-4640-8f79-ad58ddced14f · outbound

This paper cites Mind your language: A multilingual dataset for cross-lingual news recommendation,.

A Survey on LLM-based News Recommender Systems Mind your language: A multilingual dataset for cross-lingual news recommendation,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.274947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.708149Z digest=sha256:02b419fcfdc5ed0ea58b3ceaab83a10aab63c5c273e5f26b0d863658f681bc36

Observation a78a11ed-58ca-468b-bd8e-302a2f10aa62 · outbound

This paper cites Eb-nerd a large-scale dataset for news recommendation,.

A Survey on LLM-based News Recommender Systems Eb-nerd a large-scale dataset for news recommendation,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.259830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.713761Z digest=sha256:bb8973bc00d8309d237bc8dde35433ee6b302e7b4a955181311a31c3831908db

Observation 36588b22-e1fd-4da5-8e82-deac95ec104e · outbound

This paper cites Mm-rec: Visiolinguistic model empowered multimodal news recommendation,.

A Survey on LLM-based News Recommender Systems Mm-rec: Visiolinguistic model empowered multimodal news recommendation,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.242344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.718359Z digest=sha256:a2cdabcec32cf623ebacb2fba588c4c8dd5aeb2fd7225b050473c3959890a61d

Observation d10ca3e0-3602-403e-9338-9e32d2cd6b62 · outbound

This paper cites Legommenders: A Comprehensive Content-Based Recommendation Library with LLM Support.

A Survey on LLM-based News Recommender Systems Legommenders: A Comprehensive Content-Based Recommendation Library with LLM Support

Reference 92

Resolution
verified exact
local_arxiv, observed 2026-08-07T20:29:26.921358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.722850Z digest=sha256:26e4649ef1be1a9d0ce3271fbfe67437716316a454ff29cc6810178463d0943a

Observation 84c98521-bb70-4f37-91e5-7d92f1cbe4e0 · outbound

This paper cites Microsoft recommenders: tools to accelerate developing recommender systems,.

A Survey on LLM-based News Recommender Systems Microsoft recommenders: tools to accelerate developing recommender systems,

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.226089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.728467Z digest=sha256:ece89d249679d3c6668b9806ce9839f0e8755e16cb75d62eebd1c28be583aed7

Observation 2a545e7b-355e-487d-a881-948acf6d5eab · outbound

This paper cites Recbole: Towards a unified, comprehensive and efficient framework for recommendation algorithms,.

A Survey on LLM-based News Recommender Systems Recbole: Towards a unified, comprehensive and efficient framework for recommendation algorithms,

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.210405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.732941Z digest=sha256:8f7b2d9f6a61cb736a12b144a262565294390f61c2036dd07391f41285cf4193

Observation e6f4b479-8fbd-497d-879d-03c70d04fc49 · outbound

This paper cites SPAR: Personalized Content-Based Recommendation via Long Engagement Attention.

A Survey on LLM-based News Recommender Systems SPAR: Personalized Content-Based Recommendation via Long Engagement Attention

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-07T20:29:26.739672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:29:26.739672Z digest=sha256:dd41dcd69a023a6828547fffd20b189a3b614c8adea128c86413d312193aa8db

Observation d80e5c52-bff2-4571-93dd-00b47c6d84b2 · outbound

This paper cites Benchmarking news recommendation in the era of green ai,.

A Survey on LLM-based News Recommender Systems Benchmarking news recommendation in the era of green ai,

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.192251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.745206Z digest=sha256:70d67f5160525314b3766cd2c3f863df6e36f0afa122d8acb74e601c9dfbd14c

Observation 230ed797-253a-403a-8146-ad19ceffa7bb · outbound

This paper cites Discrete semantic tokenization for deep ctr prediction,.

A Survey on LLM-based News Recommender Systems Discrete semantic tokenization for deep ctr prediction,

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.176502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.750319Z digest=sha256:3954115838822ac071c1eeeeccad12ca6d5c8423272a89e8001d619ef5fea5fc

Observation d8d253a0-ffd2-4fe0-9c92-4ee2eb470fd1 · outbound

This paper cites HALoGEN: Fantastic LLM Hallucinations and Where to Find Them.

A Survey on LLM-based News Recommender Systems HALoGEN: Fantastic LLM Hallucinations and Where to Find Them

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-07T20:29:26.755143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:29:26.755143Z digest=sha256:39da044c7736a72025f53a1dd7986787b9fe820d0042c79764c98c87ff9afb00

Observation f7a04871-65e2-453c-9f9d-ebabc865160d · outbound

This paper cites Enhancing LLM's Ability to Generate More Repository-Aware Unit Tests Through Precise Contextual Information Injection.

A Survey on LLM-based News Recommender Systems Enhancing LLM's Ability to Generate More Repository-Aware Unit Tests Through Precise Contextual Information Injection

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-07T20:29:26.759864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:29:26.759864Z digest=sha256:3008fb279e3beab08ec1c059dde74286a18fbf56c4fddc2b3498346d3648f030

Observation 57efa484-77a5-43f3-8cd6-f5b2648a53d2 · outbound

This paper cites Prompt learning for news recom- mendation,.

A Survey on LLM-based News Recommender Systems Prompt learning for news recom- mendation,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:29:27.160549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T20:29:26.764891Z digest=sha256:473d3979c7daf7bae6077deaa5fd1a04e66d37134511a53434586e9a23945984

Pith citing papers

Observation 9379b521-e9fb-4782-8340-abf72b0a88b2 · inbound

Controlled Personalization in Legacy Media Online Services: A Case Study in News Recommendation cites this paper.

Controlled Personalization in Legacy Media Online Services: A Case Study in News Recommendation A Survey on LLM-based News Recommender Systems

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:10:31.414240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T08:08:23.728074Z digest=sha256:e0096f84b5dd309ab39b02dadf624b33405a4965bef8dd0b07392b4333d483a0

Observation c8ccf1ca-9df0-4ef9-9049-82322c2b1638 · inbound

Mind the Gap: Bridging Behavioral Silos with LLMs in Multi-Vertical Recommendations cites this paper.

Mind the Gap: Bridging Behavioral Silos with LLMs in Multi-Vertical Recommendations A Survey on LLM-based News Recommender Systems

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:07:08.456878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T23:04:03.682459Z digest=sha256:07d234789ce5b11208aea561eba87a743aa2f72502d8b72c75c6c526ff772657