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Paper Citation Record · LEDGER

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders

As of 18 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:2505.23053.

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

pith.paper-citation-record.v1
2505.23053 v1

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:00:28.299046Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

78 of 78 outbound references displayed

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  • verified fuzzy1
  • unresolved70
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a450ec22-ddea-4c36-96c8-f8249b2e5963 · outbound

This paper cites online" 'onlinestring :=.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders online" 'onlinestring :=

Reference 1

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Observation ca4b1403-daaf-4d30-ba86-052bc3829dd8 · outbound

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Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders write newline

Reference 2

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Observation 36ab3e31-3a97-44c1-9f98-509cc580c30d · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 3

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Reference 4

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Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Language Models are Few-Shot Learners

Reference 5

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Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Aligning Large Language Models with Recommendation Knowledge

Reference 6

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Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders On the Properties of Neural Machine Translation: Encoder-Decoder Approaches

Reference 7

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Reference 8

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Observation 0d91372d-0bc9-4329-a384-17cd40b8a2b7 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

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Reference 10

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Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations

Reference 11

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Reference 12

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Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Maxwell Harper and Joseph A

Reference 13

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Reference 14

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Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Neural Collaborative Filtering

Reference 15

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Reference 16

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Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Session-based Recommendations with Recurrent Neural Networks

Reference 17

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Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Mitigating the Position Bias of Transformer Models in Passage Re-Ranking

Reference 18

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Reference 19

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Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

Reference 20

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Reference 21

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Reference 22

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Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T13:00:23.640613Z digest=sha256:bd6b4b40f7bdf40668791a7ce281a932b35a0d55f1c7bed6465aacb7ee94b59d

Observation 327bde9e-17da-4cc4-87fd-e68760c5a717 · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:00:33.952774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T13:00:23.756258Z digest=sha256:9324c237ef2f15989d7759a2c3d1b52cb4ed983e02e0f3874804ffcdfc10192f

Observation fb38c23c-0c41-4a6a-95c6-807a94f93069 · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:23.879298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:23.879298Z digest=sha256:cca107fb31cd1a1b261db70d5e72137818689298c4239fa2a8bf513eb39be00e

Observation 23344a6c-2990-438f-a65d-aca0f3ebc01f · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:24.004025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:24.004025Z digest=sha256:182a1c07d2a88219ea0d930c40aeacf919d984ba7296160d7e9b6be01e1942fa

Observation 975d0534-ae6d-4911-a2b8-cf8e3b882f87 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:24.136632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:24.136632Z digest=sha256:aeb6094fdffbc98bd7abf0165aaf0042b34627377c67268d2c14515b9bcbd6a2

Observation 717d7258-0ebc-49d3-93bc-50d4db0b6b87 · outbound

This paper cites Tran, Jonah Samost, Maciej Kula, Ed H.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Tran, Jonah Samost, Maciej Kula, Ed H

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:00:33.788884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T13:00:24.267785Z digest=sha256:cd0aa99e08f47b2b5345d75217f2aec19d133a18c42708f5e2d1c79f25cf1f94

Observation fb8c0c33-c1bc-4e10-b5fa-4d5cf850bf83 · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:24.350692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:24.350692Z digest=sha256:4973b428e0a8a6b9fdc731cd84df04ef53252a7cf4a4a2b7975623e87580a4fc

Observation de15b55d-edb0-447d-81ee-083f81f0bf34 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:24.442646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:24.442646Z digest=sha256:456ace3e688d72ad66f4610e2e52fe08b2c07e9d69a8484daf6c9cd25efa83ba

Observation 95441fc8-a920-4d64-9c89-216e829f3d32 · outbound

This paper cites BPR: Bayesian Personalized Ranking from Implicit Feedback.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders BPR: Bayesian Personalized Ranking from Implicit Feedback

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:24.539679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:24.539679Z digest=sha256:d370724fb5f94bd3df6de58d490638c6a5b9933cc46341bde201846557272936

Observation 36e228de-2bf2-4c00-a698-a2bf24ec9b75 · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:24.647803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:24.647803Z digest=sha256:470485692c81a5bf7ff915edc5e96a0056e1f888e1d3914520a151e8b4271b00

Observation 322186a1-7d80-41dc-8831-9e37976059f0 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Proximal Policy Optimization Algorithms

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:24.759187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:24.759187Z digest=sha256:08a2edb9ff7369e1f1a46b2fc129144d749b3635605c1afc74d85e2160e3a939

Observation 90d3ef0e-f3fc-441a-8967-8bbd0c1b541f · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:24.861733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:24.861733Z digest=sha256:a6b21b3345ac3e919c1048218a819165900a630926eeb2d05fdb60601261ea9d

Observation 39a08406-c37a-48a7-be7e-9da47cd7f86c · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:25.094548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:25.094548Z digest=sha256:f0e0623f504b5b6c7f1bbb8404c7880d561f38eb369c38acbb0287b2a45a383d

Observation 4a474ea5-fba9-42a9-9efe-bea5e3fdc618 · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:25.230180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:25.230180Z digest=sha256:0310c89a9149ef7f00c1bd9cf0639e76843b6ee5ef679c0ec77dcc252a9bf008

Observation c3d89eb6-946e-4678-b558-ea31fb01f73f · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:25.455910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:25.455910Z digest=sha256:58c7a136d5cd519da153e637e7c8d66851eb332401e2722a8b92e50f8e4cdf17

Observation 2021fee6-2ca3-46d6-b249-63cc3465a6d2 · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 58

Resolution
verified exact
doi, observed 2026-08-07T13:00:28.937725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T13:00:25.551781Z digest=sha256:5712feb5c69409b88b117b434b5db27cb498ceaccabb84f92bc5292cd7d1539b

Observation 9212ea41-568b-4262-a90a-9e886670d69f · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:25.674393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:25.674393Z digest=sha256:71e4a0fa0754074143b03dc45ca9816e18b00aecc67d26f495735c38d8f8fa60

Observation dcb74320-306e-4fb2-bf30-7ac13c323496 · outbound

This paper cites Rethinking Large Language Model Architectures for Sequential Recommendations.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Rethinking Large Language Model Architectures for Sequential Recommendations

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:25.781872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:25.781872Z digest=sha256:0c787807f73c88eaaf4127c36c323c34cbb07b8c8a6fa1d370158b16757f1012

Observation 7f6d2611-af83-45ae-98c7-c073803d3ac7 · outbound

This paper cites Zero-Shot Next-Item Recommendation using Large Pretrained Language Models.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:25.887996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:25.887996Z digest=sha256:4db37df0118f6cfa650513c24317b2ea773ce1051087e4a78ecabbcd014f4473

Observation 86582d38-8076-4ada-9501-64e6deae1403 · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:25.998999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:25.998999Z digest=sha256:2fd3c1c14e278145c88841c315e22f89e4288b479f2648194f78866fc6b506e8

Observation f70fb8f2-bb4c-4549-bef0-9db42914e29c · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 63

Resolution
verified exact
doi, observed 2026-08-07T13:00:28.702655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T13:00:26.117599Z digest=sha256:fdc8d524f8438fbb75c629cebf3232cedfe80e4840a9fbd752e44f64fa1d7bed

Observation c4561e96-b7b3-4175-99d9-433684c60c33 · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:26.212304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:26.212304Z digest=sha256:fff4da22bf428e3c7aabcd3d58e0899fa99827343baaa4635a97209af1c4b72e

Observation cec73382-a7cc-43ad-b350-22b426512046 · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 65

Resolution
verified exact
doi, observed 2026-08-07T13:00:28.532552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T13:00:26.312352Z digest=sha256:6c82ea0e7be6194b50d39bd53bb80e35afb0549e3efc62f357dff90c5c9732f6

Observation 80e24239-c05f-4614-971a-d632c9b5e018 · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:26.423416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:26.423416Z digest=sha256:8b1a56e7116282e40f7db91145e283738b36653233283ba54fd26e81218eecd0

Observation 8c0ef29e-6762-4b83-b634-d71b4e70fbae · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:26.534946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:26.534946Z digest=sha256:b0246c21af3fc4173a34f7ea21c8b4bdea0449d0803e9935b02d531d3f4783f8

Observation 518bcbe7-0385-456d-8ba1-cd7e2c9f5aeb · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:26.649821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:26.649821Z digest=sha256:13b63439d6ddc195f9f040e71b802ac2d964218380ff709169eead49b09aac0a

Observation 77779603-556f-496b-82ee-b15af2befd56 · outbound

This paper cites iAgent: LLM Agent as a Shield between User and Recommender Systems.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders iAgent: LLM Agent as a Shield between User and Recommender Systems

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:26.767130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:26.767130Z digest=sha256:cb9bd694e8b85556eea443c43a233c50a1ebdc0bd7daea2268643a02c64c95de

Observation 072919a3-d919-4d1f-875d-2dd4795f5b52 · outbound

This paper cites PALR: Personalization Aware LLMs for Recommendation.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders PALR: Personalization Aware LLMs for Recommendation

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:26.845272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:26.845272Z digest=sha256:86c1e8b63906855640c2f31f38b8298de14db0aa7367f70b542b65ed84941ce2

Observation 71704dfc-97fb-4156-984e-7f024dac8f4b · outbound

This paper cites Unifying Generative and Dense Retrieval for Sequential Recommendation.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unifying Generative and Dense Retrieval for Sequential Recommendation

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:26.972723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:26.972723Z digest=sha256:c6ebab94417840f545e3dd90bcea7d6f83017627eb4f1cbdf05e8715aea06920

Observation 093a87a4-bc59-461d-87f7-f8669d216339 · outbound

This paper cites LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:27.071870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:27.071870Z digest=sha256:53c23ca7a43c3cf44e9fa84fa9a54e7bdb3ef32b7ccb764aa930f65c8ec578b3

Observation c46f3598-ed3a-4caf-8347-6e1adb05bbf7 · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:27.188916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:27.188916Z digest=sha256:01b2dbd52bc9df835fb708b64de440b890904c3a2f4e1f132005984fd929206c

Observation f2ffc0a1-de9f-443c-b522-9bad5cee0398 · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:27.309722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:27.309722Z digest=sha256:4f0e540ffe0cb6897b3aef8e21a8655cf1e533025f68d260b799412365a418bf

Observation f01fc85d-0da4-489a-9176-01c92a4cdfbf · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:27.437754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:27.437754Z digest=sha256:0f1b03cb83e0de7a989e2192a9b4b103c980ff1d2c5da4c3895da13f998ac2e4

Observation 322cc14f-ce08-47b0-906f-8be4ddd4b23e · outbound

This paper cites Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:27.569753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:27.569753Z digest=sha256:c5202d6199fc58cde6b58f6168e6373f631f62ff2175f0b8c9da3d17055ebaee

Observation b28ad290-d233-4616-9936-e252a6ec7ce6 · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:27.695039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:27.695039Z digest=sha256:64048f91af86e2f57663be5b3399ee7f6854b3fa82521354d8cc9bb806ad3f2f

Observation 51e0e6c1-b4dc-48d5-a576-b6cb6bad051c · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:27.827956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:27.827956Z digest=sha256:351ee5954e346e320231436782093778a730823c2a20b76bc7983e268092b340

Observation 3549d7b6-e380-4db2-907e-c71d8d4b68dc · outbound

This paper cites Harnessing Large Language Models for Text-Rich Sequential Recommendation.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Harnessing Large Language Models for Text-Rich Sequential Recommendation

Reference 79

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:00:29.939268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T13:00:27.943331Z digest=sha256:33a67ba4b78953676f1509f50b50f30398b5f2201f19858a75c25b5e3f8fd871

Observation 3d6b4f2f-111b-407c-8962-07d8e466ee3d · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:28.066382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:28.066382Z digest=sha256:e49f6974937eb7ec3ec456e31f09de4b0e92930c73403a2587ae2352592e8caf

Observation 9b8e9a1c-ec75-4f8d-aa05-c7893006d474 · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:28.166145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:28.166145Z digest=sha256:e34ba50a0b40a4f16b2c408206891a678e0b2f9b384f6e00f5b2d9c62664adba

Observation 9ca717c8-4380-46ba-b50e-1bcdca6c855a · outbound

This paper cites an unresolved cited work.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Unresolved cited work

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:28.299046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:28.299046Z digest=sha256:1c2c907b9374d8e35edb39bffb2257919308d16abbac7645acc435ff7fdb0386

Pith citing papers

No inbound Pith citation observations are available.