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Paper Citation Record · LEDGER

A Survey on LLM-based News Recommender Systems

As of 8 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 2026-08-08T06:32:00.761636+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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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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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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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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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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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=sha256:58534129e6bfd2d1b8f11e6b47ee4044dc228dcc15af5345975edc723578f460

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=sha256:8142d569e5f05e8a2463dad21d5f796be3a438182a3b7bf41bf24817a535f7c8

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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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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source=pdf_text observed=2026-08-07T20:29:26.398695Z digest=sha256:39a1bbdf9d553a8a9ea7ca732c5482b777721a6a02bff38d46d557eaf332cbb9

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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source=pdf_text observed=2026-08-07T20:29:26.408415Z digest=sha256:347fb23628476047e450ead731fee49cf3fc74e4bd43202cba9c0d3407f39fca

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=sha256:36009e85246d6ce1c3afb59c212a9dc64d4d8beb91bb9d4c3c1a8c38d36affee

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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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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source=pdf_text observed=2026-08-07T20:29:26.427872Z digest=sha256:584e113814d00f3dfa8256951144a121d2bcc7f9849129b13d15608c91f16d93

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=sha256:07c39fe7bccc5d8eb6350386b3dc8c7ba7430e630e59a161dbaff2c3f91bb9c7

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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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=sha256:25338e3d38c747009b60923c7dd05fdfe22e9166bd6e0721478672b67918114c

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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source=pdf_text observed=2026-08-07T20:29:26.445090Z digest=sha256:6c3697a4d001337b116212ff7ab567fc9a4ff56a1a0aa8f8dcdce3d0d4a5110a

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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source=pdf_text observed=2026-08-07T20:29:26.450354Z digest=sha256:c628babebc131e6ca4bab88112dd66cd0e923d9f1f8a5cbdc16d05cdf55a28a0

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=sha256:01cda76fdb3079e7f289f13a175fad3854ef0401d0b5cdb5dca552bbceadf180

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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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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source=pdf_text observed=2026-08-07T20:29:26.463050Z digest=sha256:87d41674e060d346a511b8391eb6ecc52a78d76c0ef2af5e65b1fc6fc96adde2

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.468198Z digest=sha256:6e56edf2ea019413483b77d47e31dd289325ccf6c58adb4c8c497f99733543b6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.472522Z digest=sha256:d96669297774e6b41c61343c952f7905db2224fd2aff8161eb8493f0879e27c3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.477225Z digest=sha256:9e52f984750ed85d6d4ce528e65ede8d50ea6e5e4cd877e1000370a7977241ae

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.482675Z digest=sha256:1488094db07dfe7073975ace3479f88cb8e9ec4084e73c7b2f12003b1b935e5d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.487275Z digest=sha256:cdaadbbe373c0f0c407dec8b91d43c2251237f14268be7b36f11e15a1e7f8bc3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.491877Z digest=sha256:2f8662b8f6eb8b5bad4daedfac97e1ce4283fc9226e6b3e7e416d4a187727f2b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.496001Z digest=sha256:6b95da599abf3f8601675fe3427f3dc6b3a97d55a15c83c813c4898e74a1b82e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.500623Z digest=sha256:4bc578df8cc657618ac41ec94afddebadd70efa543158855db4d92ebd7030875

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.505505Z digest=sha256:f9d6516a68ab86ecdbaf6a2766e4c18b77dc6aa877384389bbd282f9ba1c76c6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.510133Z digest=sha256:8ada363e8bc669a4028ca0eaa09353de8e2e19966978e7f621ae69e181abbfc6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.515242Z digest=sha256:2e1b871fae850e8569c6c0fffc488c07c39feb11a2f741ec32c7f5a7711cad95

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.519583Z digest=sha256:4f73b9e99a82dd34ee559ab87e273eae5ae0bf052638749d2617ff1b4652fffc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.524836Z digest=sha256:3c44c2b5bbad1b7488ef6f9c92d0cdcff531da61ddb32d47500fe5d6b66516a5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.529062Z digest=sha256:2335cd652c391755d5f1ed51472190b6090d6853459b220f22a05133742f0f61

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.533245Z digest=sha256:aeb2a5a80f20124b64eee7a5347a87f4f38a4b84623a889de67bbb0ff3dd54eb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.538466Z digest=sha256:633b87ec2823c189eadababed3d8970a1b9ae66ec6eba442bb0fdd9afc365c6d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.543071Z digest=sha256:abde10900a98b7930504264ffd86280c84ffee9c3ea717e743c89630e80ce212

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.548260Z digest=sha256:03b04b463a3f91cba51f94b6218382c037565c1c9928b9d827651bf37d0cefe9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.552474Z digest=sha256:c9a4b6c79e7f239fe582b6c843f1aa24cbd73b5f6d29eddbdf8f3ffd1b827b6f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.556513Z digest=sha256:12fb2aab3205cafcdc6cbb7c07f8b400dcc62371e0ec2635bd588e7ecb031c08

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.561046Z digest=sha256:45ed78aad14ad6ff4409424f403ef4f5db26c6aa76f9720e79ab9b9af096c105

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.565660Z digest=sha256:99d6de87e0e1d0201b792f203b122e78d70e7f74c7f6bb0cf64cb298e523c1d7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.570965Z digest=sha256:99ce36c7d8c9d4c898fafd9f8fd26986a9e9215ac7e8f470266c6bdd288e8efa

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.575441Z digest=sha256:2fa778033ebc014174e892c756983193deddfa0169a63d5fdc4f475739dcc59a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.580660Z digest=sha256:996d5971c9d68220d240e264dcc131c4c2fa854e3536fc15b44c43ae81acfc43

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.585160Z digest=sha256:6d7a7776ff48b87dc8f09f23c62aa6389f4ef349a58761959ee6c4854ba41dc8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.590825Z digest=sha256:ac13265d34edfa76a98b21ea9d1699b8a5804fe02bb4204c4af3b2f6292b0abe

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.595239Z digest=sha256:dc638c65360b919f6f3c7e683cb1f4426aa7df6b5a08634a3c1e087fed7b64d4

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:e525ef8383cecc7e3eff9bca640ec15ab0110ad1050b5d0a9550154891232147

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.604718Z digest=sha256:9eb38c49a7df34b856566485a1dd4722e465d2954ed2aa31a5db2c5a37a5bbd8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.610124Z digest=sha256:0bd1f1ec099c067024f411293f518b77963398d4144e73f5bee444fc51320386

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.615286Z digest=sha256:dd7011d32d1f6014a7a4c8057ded28f9cfbf90bb4d2f2da5f72b8885efe17ae2

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=sha256:95990fa2f05512b99178e503c808d53a3e0c388a1dd7a4fd005336cde76d4d51

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:beaf93a46d10c0f73123566f5adb1e2c04d1e1f84cf992f67708fbf3b33ab959

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.629279Z digest=sha256:0bc0af8a7a7055ec6840d876f8633071ccc6419f05ec8e735e39fe6a9cc8deaf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.635080Z digest=sha256:69556847a4115ab5a0472594c806846c238d5eb8e69ae9b009ec5d684726a6a7

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.639517Z digest=sha256:ab7634a7911f7692c2a71421a4e0b7af2f701199afdfb8a934e3d4aa58ae0a83

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.643980Z digest=sha256:cd7c479f64dd29125c9d6ff92e191412deee8a402e11097237c14011dcd23689

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.648203Z digest=sha256:69e89fd98bdb24976b310773790a8e805b6be19cdaff70bcf521264660a2995a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.652333Z digest=sha256:38b3bb42017bb23b5fe3c85c7ad3a9ba9372d225703ebdc9f6906ea19f9e9a28

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.656653Z digest=sha256:6ed4ca13bed2664a2dc331717eec18f5c520ed64c7699c4e64de0614de8a6d76

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.660938Z digest=sha256:f2a59850060227175d44f4cf8df0babf54407b9dd5cd464d9b2c3f99161ccf5e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.665186Z digest=sha256:00084a0c2f68fc1a66e686f424df674a49442e813823eff2b8926d9ec70aaf62

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.669568Z digest=sha256:d9ee04d94bbcd14f3b5c37d217b3d588df783fb95c8bcc7b8e8197a74ee3ee81

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.674701Z digest=sha256:abf490062b57766cbc3f4859c6829cbf5f4c442ccca45707ab84787d709fb42a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.679790Z digest=sha256:cc9aa8ebf894815616b0b8996550a1f6438185c851ef9ff9d2bfef61392e551e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.684374Z digest=sha256:a6d7b4a5fe6e2749b4d15b8603cd5ba6f5837da995d78e405bf2e4970136d5bc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.688823Z digest=sha256:f059ffc9f6a73ddf12d7742e9afbaa2059282805ae44f63caeedbf291e0656f0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.693879Z digest=sha256:c10d63f44a8e996237e09246547f6f626ba4bfb9e982c61b7c3f2482ce4298e4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.698441Z digest=sha256:acbd63faa345e405501708159e44e1453dd1b9b5b983dff6824daf475e94ae80

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.703556Z digest=sha256:430d9bfdd62fc4c9269c26dd489f9a24bf72d7c1d7c7f4289e9950c35d107a09

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.708149Z digest=sha256:9bf5a7168157f4d689c93ca743969428b3706ff1175e100b2a0a2db8e2f27a30

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.713761Z digest=sha256:34da23c2fefd09bca3bedfcc15db8904fba51646e17fe4243cc93bc5f8c92877

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.718359Z digest=sha256:8b79cac3c9b3088f36622ea10f60011f9754622d044897d3e405e8027548602f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.722850Z digest=sha256:51ab7b1e311d2d3e19143c6c6b3e7ccf641a889eb3756e2bcadaa3869d9d1cd0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.728467Z digest=sha256:6449e12152a0b472e55c4e48163c1004acbb4a4cfa716f655848d34499a5306b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.732941Z digest=sha256:4a2228e6e8cab76cbf61d4b6eb4c52415c815e63150902cae2faee445e9d172e

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=sha256:865c64bd30da81f17076490e1c27fdd7d9a91174a3518b97b012647f88bea59d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.745206Z digest=sha256:0beeb95af6a582a21026821f0dcbf0a8f8edc52f8c46bce49abfe8dc3f84d825

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.750319Z digest=sha256:e1f5571f38a105b1d0e1fabf45591b2f34a5e084fe6940c2c1e14130077a5c43

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:cf40f276f605414b5725fc1118809115f8fdaf25d1c8d8648727e359eb28f750

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:b2596001cef2bbf6e03645123da4d1fd83cb56bdf0f5eecca856b427f00e257b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T20:29:26.764891Z digest=sha256:8f6a2d1cda1f948ff352e5c321c69e484532ef549e1cddb877c069449a427129

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T08:08:23.728074Z digest=sha256:8f5e74e462049e89714012f71de28ad6530acbafa9758bbdbaa618e34d9a5a4c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T23:04:03.682459Z digest=sha256:420b426c88cdbf2c426bf0f0c2da4d6e33f2ec4a1416d9a370e02d8793f56a09