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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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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Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Ferragina and G

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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This paper cites Maxwell Harper and Joseph A.

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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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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verified exact
doi, observed 2026-08-07T13:00:29.128002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:00:23.640613Z digest=sha256:a8ee2bab50df2635cd478d8a683b37a823904ebc86419e97dd03be3d53fab65e

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:00:23.756258Z digest=sha256:8cafbab1614ac3f3c3d2f3931bd02a15d0a8b8b8286a73c2f4dcce76d05fa0ff

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:d01ca51db7504beda56b5ff16a767e1fa33591ca71910aa26f64577a2993b094

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
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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=sha256:942c0d12e5fae52f5d4dbfd0d240caf9f426fd46648e2adf7c1a4a0efca5325f

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

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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:f48d5f068be0c288f37a4fb6b6c51021ad5f898673c0d2a422d5fe6d16a9396b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:00:24.267785Z digest=sha256:852500bdf048f4a9c06e7441dcb26ff77d8620cf8d3413c2e0cd6fa9e0a75205

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=sha256:781358418f9ec76c7c4944a156a6fbbcb7aed3b5291c783e9f60be63a7b1eb95

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

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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:dfe240a2d1c917d87b01024c9e62d76a030793603b87398c003fad97bd577982

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=sha256:921c3e876de712218517f9834131c33ff5ab952db7a151edc395ab7571f29b5b

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=sha256:8c293758c73489c6e6caf8a305e7c96c0e8b33d4911b8c6b5b1eafe07adf56eb

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:e0932be5adbf8a06cfd1f011e78bcef8f8ee8bd0db8e312ea9996e80c2dbc651

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:ca28d3a50e466d57ea4f6e035d5fd18703930b507e839fdca3d993048bca4389

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:eb2bab067df01229f4add1ce44134e005da155698da074ac498597d8887190a5

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:b83b957502f45ef556d7fc04f61179096fe89474e011957237acaf56f58af215

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:d11f57d09a7f707b2084d912591befac960a829a39b65bddc3d2fd7828661f86

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:00:25.551781Z digest=sha256:cd75b927f9aae2f13c01c758c0f3d08dead496f990c1ccc91d996b2a0123882d

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=sha256:7ad90bce79bdaa0db0f47bc9fd9b6f0928e934aa9b6c5850c6cbf9a398b3be55

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=sha256:36dfb3b4436f21f810dc2402f3fea5f150d1eecaa5f0250e7e40df5db593f89b

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:a82fb73431dc264aad80d15ba47df34cda8a3cf8ed7f42734883a385fe3161b7

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=sha256:73632ded430a6638b030b3f02db772133bc8a2a14aa23bf202c2031a02dcedb3

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:00:26.117599Z digest=sha256:650005200d9e397681a80347fa06fdf032a17ee3301041aa199dccd2bb5499f6

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=sha256:42a756fabebd6e7bf97623b3c0d757827ebc9ea69b7bf0a9a62d1470c9e6f99c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:00:26.312352Z digest=sha256:b2bea50d1b762ba777a1a16b1e5a63d23abd622a5a37f6d019c94a3b98a5996a

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:b2a3630ce18f9c630ad1fb4e16c45dd8892a2de6496105f5d092120cefd88a32

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=sha256:79f23f80b45d80a52b60c9da2e01c74ed1b784be1ef7c32b13490af96fbef2ec

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=sha256:042d21943a3752f71456bdb6ebf348f2116c4749d0c959ff59ed7aac888c437b

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=sha256:42b4cd3bab52ae66d88b4f19466efdb164dc3df02d471b5723d54c87f52fd0ec

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:a722e26731be18548d23b373ff9721079ccc1a5c94c9e469dcc5e1331fa559e5

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:de7af17cbcec5f38a2e7819c405c637831116a7f36e42f456f05a240ccec95e0

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:a43473ab4321f7d3b5dab1f8dfd09db604dec24c36c11bbaa271b957d7f062be

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=sha256:8394e53237505cd680c6e43648c28ed533b720bc9c15222754a84d7b6169ff6e

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:f6bf9e7756fc4a0744f860d7ad7a7368d0c873d44d34e547a3cd1b0ed46f79b6

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=sha256:5967bf0cbbfa827f850b58fc8e35a21791502c35452df6ba9c920dbf0cabe09c

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=sha256:16196f40ae8b1277351b05eea5cc4089cb3d68b36db728b6ae4f8631001aa82b

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:c892db11fb83083b32e36f7a885867a46df0a6f291bbb081047b497110c4fb28

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=sha256:30bb27ca36c2bcd4fef17931763e1a5a78eb0ac0f0772f03f3c8b4acfa44ca63

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:00:27.943331Z digest=sha256:0bbb2ec197f8417f2522809bb774aa24b97c4d710bd88d2a2b384ad969d0e3b2

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=sha256:91ba2e2ced1500ddc8e8ab534022a9f61d936016286cd871bf9f186b90717190

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=sha256:51c0c23bcb21607fbe93939fc5ff16ceb464d09a1ce9d05f9d3f0740b4c323fd

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=sha256:1063bdf44620b80202e5efaf8d415f0d60335b0a30bf4cc849c86f1193bc1581

Pith citing papers

No inbound Pith citation observations are available.