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Paper Citation Record · LEDGER

Listwise Preference Alignment Optimization for Tail Item Recommendation

As of 8 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 1 inbound Pith citation observation for arXiv:2507.02255.

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

pith.paper-citation-record.v1
2507.02255 v1

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:41:44.140534Z

measured 75 of 75 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T17:14:59.574130Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T17:18:01.400755Z

Reference resolution

74 of 74 outbound references displayed

  • verified exact2
  • verified fuzzy53
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cb29c689-18de-4d6f-aeb3-beffb0d34441 · outbound

This paper cites Harnessing the power of llms in practice: A survey on chatgpt and beyond,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Harnessing the power of llms in practice: A survey on chatgpt and beyond,

Reference 1

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no resolver link, observed 2026-08-06T20:41:37.781455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:41:37.781455Z digest=sha256:41eddee5a5067789fd6cb17533edad94ab14c270e084e60c613de0033532d966

Observation 6d8b597c-0525-429b-84d5-26ac75d08e7d · outbound

This paper cites Recommender systems in the era of large language models (llms),.

Listwise Preference Alignment Optimization for Tail Item Recommendation Recommender systems in the era of large language models (llms),

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T20:41:55.622723Z

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=2026-08-06T20:41:37.866876Z digest=sha256:96b15920ab5840ecb4b5f36775f47c38ae84ad2ac10b82cd62e605ef4d3588d2

Observation ba278298-5a3f-450a-83f4-12c05120856b · outbound

This paper cites Tallrec: An effective and efficient tuning framework to align large language model with recommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Tallrec: An effective and efficient tuning framework to align large language model with recommendation,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-06T20:41:55.427317Z

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=2026-08-06T20:41:37.947766Z digest=sha256:26e10dc6244b055f4cb3cb3261b51b29d08e818d98b63e24d6e2a7f2a9947168

Observation 0d5f02ef-6585-4b41-8770-a9a9746ab9bd · outbound

This paper cites Aligning large language model with direct multi-preference optimization for recommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Aligning large language model with direct multi-preference optimization for recommendation,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T20:41:55.253501Z

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=2026-08-06T20:41:38.070179Z digest=sha256:777741c17d1aecf30fb43115de03f90902b1cb4c92b851e0c41aab5c304d5341

Observation 3524b213-3ade-4ba3-a7fc-3c23d9487492 · outbound

This paper cites Who to align with: Feedback-oriented multi-modal alignment in recommendation systems,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Who to align with: Feedback-oriented multi-modal alignment in recommendation systems,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-06T20:41:55.048494Z

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=2026-08-06T20:41:38.147888Z digest=sha256:9aed4ac89098ccebf7138d359cff6fdcf3cc23d0627cf70cc5dab02563938587

Observation 8ed2d7de-14d5-4774-b822-6d8727b0a594 · outbound

This paper cites OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment.

Listwise Preference Alignment Optimization for Tail Item Recommendation OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment

Reference 6

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no resolver link, observed 2026-08-06T20:41:38.242353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:41:38.242353Z digest=sha256:4462c8ed78b1f3942ab58fe49d2afcd3793b56dfad75dab67fb7af42bab5d4f5

Observation 96dae525-4015-46d6-ae74-723592f18dbd · outbound

This paper cites A Survey on Human Preference Learning for Large Language Models.

Listwise Preference Alignment Optimization for Tail Item Recommendation A Survey on Human Preference Learning for Large Language Models

Reference 7

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no resolver link, observed 2026-08-06T20:41:38.324872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:41:38.324872Z digest=sha256:d89c8e3575b9557d27230883a95b758ab9ca6de33e14418220ca5c9d37760868

Observation ff464b67-771a-4178-a197-53f739e2e562 · outbound

This paper cites Training language models to follow instructions with human feedback,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Training language models to follow instructions with human feedback,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:54.862711Z

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=2026-08-06T20:41:38.411886Z digest=sha256:65f0c04ce2e669c3bae43e87153188f84ced81f7d090ce3a5e422461ec1a754f

Observation 971db59b-733d-4db2-ab80-a69fb7f68934 · outbound

This paper cites Leveraging large language models for sequential recommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Leveraging large language models for sequential recommendation,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-06T20:41:54.652034Z

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=2026-08-06T20:41:38.513951Z digest=sha256:1704974150a72299dfec0bbcfd43580a5f0690f79bbedfb864326a03ad651b95

Observation 62b34ddb-143a-4809-be99-48e1b51ce1ea · outbound

This paper cites Harnessing large language models for text-rich sequential recommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Harnessing large language models for text-rich sequential recommendation,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T20:41:54.462898Z

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=2026-08-06T20:41:38.615787Z digest=sha256:95d925a67299a12eac83e77b703f9c6a75b8ba8f83676348a1d1fe8eb9878227

Observation 4e75f033-e731-4586-9396-11a3bf9b308b · outbound

This paper cites Proximal Policy Optimization Algorithms.

Listwise Preference Alignment Optimization for Tail Item Recommendation Proximal Policy Optimization Algorithms

Reference 11

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no resolver link, observed 2026-08-06T20:41:38.732849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:41:38.732849Z digest=sha256:7004e82cdce0f59c6dfa8f7b1774d58c04f5e92d19c4a7cb0d7993cbf0043c2b

Observation 27bd6eb2-e1c7-4835-959a-e31b8782f332 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Listwise Preference Alignment Optimization for Tail Item Recommendation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 12

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no resolver link, observed 2026-08-06T20:41:38.827626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:41:38.827626Z digest=sha256:b8524beb5f5d118a14f6a7b328a7daa61bccd001fb571697799ddc44a98228d5

Observation 7d2c967d-d9c4-4d7d-a2f6-2cc26a26a20e · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Listwise Preference Alignment Optimization for Tail Item Recommendation DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 13

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unresolved
no resolver link, observed 2026-08-06T20:41:38.936848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:41:38.936848Z digest=sha256:d79d2123cb52ddcc666a17c3ac9879d4e1f09f4e4972a5bd7a9b8b66417b6ae5

Observation c7cfa6d3-1f06-450b-8d35-9af6b8ed9aa0 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Direct preference optimization: Your language model is secretly a reward model,

Reference 14

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no resolver link, observed 2026-08-06T20:41:39.031173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:41:39.031173Z digest=sha256:e5a6af546b010b892a8f94267f0211cdf44de1834be5691ec7e786ca88c0e036

Observation 246f55b6-4fce-43df-b0da-5199f1414c3c · outbound

This paper cites Simpo: Simple preference optimization with a reference-free reward,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Simpo: Simple preference optimization with a reference-free reward,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:54.262495Z

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=2026-08-06T20:41:39.129224Z digest=sha256:d10a76973a18e3f1c733b1dae7f7d446b615c12b7da43712aa5da45f58d8b9ce

Observation 64c74c35-ad0a-47cd-8bbe-e5279aa9fe66 · outbound

This paper cites ORPO: Monolithic Preference Optimization without Reference Model.

Listwise Preference Alignment Optimization for Tail Item Recommendation ORPO: Monolithic Preference Optimization without Reference Model

Reference 16

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no resolver link, observed 2026-08-06T20:41:39.237723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:41:39.237723Z digest=sha256:bfabaebe3140175acab0a7879f2e5c19b1709a2cb926da83f517acd6e7c2cc2f

Observation a3502604-6f47-492a-8803-9cb84e7204be · outbound

This paper cites Rank analysis of incomplete block designs: I. the method of paired comparisons,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Rank analysis of incomplete block designs: I. the method of paired comparisons,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T20:41:39.368711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:41:39.368711Z digest=sha256:d10409b2ea7f20435111b68cdaad37624c6601b5e25e18a29949ea11e757f8c9

Observation fad1daed-fa3a-4b89-9834-89612dc169fb · outbound

This paper cites On Softmax Direct Preference Optimization for Recommendation.

Listwise Preference Alignment Optimization for Tail Item Recommendation On Softmax Direct Preference Optimization for Recommendation

Reference 18

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no resolver link, observed 2026-08-06T20:41:39.479977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:41:39.479977Z digest=sha256:11b92aaa0d0b1a34ab9758abe4cf6569a731a0e7180bf4b467f7b3fb5099c6e7

Observation eeefb345-8047-400f-bb3d-8d6c5f87431f · outbound

This paper cites On the theories behind hard negative sampling for recommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation On the theories behind hard negative sampling for recommendation,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:54.071481Z

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=2026-08-06T20:41:39.609368Z digest=sha256:a7716dbe4c24c276f25244da9b07b9df1f8a9edd9db1f27d8b30f302ea9d174d

Observation 1c60d836-c9d4-40ba-8b84-ca08db48bcde · outbound

This paper cites Negative Sampling in Recommendation: A Survey and Future Directions.

Listwise Preference Alignment Optimization for Tail Item Recommendation Negative Sampling in Recommendation: A Survey and Future Directions

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:41:39.712279Z digest=sha256:9791bb35fd57709c0eba48d205357df75ba4ef56a7c78df9bed7d0e5939c425c

Observation 83fee98b-3a73-455b-9b26-ee0813ef1e24 · outbound

This paper cites An analysis for unreplicated fractional factorials,.

Listwise Preference Alignment Optimization for Tail Item Recommendation An analysis for unreplicated fractional factorials,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:53.844502Z

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.

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Observation 0eb3d45a-d187-4a30-beed-e70820c04ee5 · outbound

This paper cites Justifying recommendations using distantly-labeled reviews and fine-grained aspects,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Justifying recommendations using distantly-labeled reviews and fine-grained aspects,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:53.665434Z

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=2026-08-06T20:41:39.803384Z digest=sha256:e2d75bd4cb811212219e6aa9d72a8b485a3fac55e7ce73b37e2545d28a67b71d

Observation 9c27c027-c47c-4938-89f3-b37518d8f07b · outbound

This paper cites An mdp-based recom- mender system,.

Listwise Preference Alignment Optimization for Tail Item Recommendation An mdp-based recom- mender system,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:53.466692Z

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=2026-08-06T20:41:39.852297Z digest=sha256:5b37640976ba197298edf82b00e3bce790da0e2c8e32cc1eb67066858382f7b5

Observation fc53c325-96ae-424c-bda0-df7f63f389d5 · outbound

This paper cites Factorizing personalized markov chains for next-basket recommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Factorizing personalized markov chains for next-basket recommendation,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:53.118080Z

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=2026-08-06T20:41:39.929470Z digest=sha256:560d7a29adec079750299020ca64481db02b17a0fe3b01477be17a5d6c492288

Observation edaf611e-800d-4c09-837a-fbe3086d11c0 · outbound

This paper cites Deep learning based rec- ommender system: A survey and new perspectives,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Deep learning based rec- ommender system: A survey and new perspectives,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:52.804805Z

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=2026-08-06T20:41:40.064882Z digest=sha256:89fed422c8c595c1ed687084b5e617ea19de058119990b5afe53d5d01bf3f803

Observation 77eba93e-b3fe-4cd4-b888-8c7d33f01611 · outbound

This paper cites Graph and sequential neural networks in session-based recommendation: A survey,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Graph and sequential neural networks in session-based recommendation: A survey,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:52.477087Z

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=2026-08-06T20:41:40.167794Z digest=sha256:bf3c5e5ce4c8da2c530606f68c503d2d2735b9cd5e215aab6f07299f92e0944e

Observation 1c48ad0c-abd2-45d6-a60c-a0bba06c8f57 · outbound

This paper cites A survey on deep learning: Algorithms, techniques, and applications,.

Listwise Preference Alignment Optimization for Tail Item Recommendation A survey on deep learning: Algorithms, techniques, and applications,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:52.237285Z

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=2026-08-06T20:41:40.270009Z digest=sha256:4cace9c31c3f1a9cfdacc7e8e6f1ae5f7be73715229c9e7db100d4ec4cff4ebf

Observation fffa1e16-bff0-4ef0-8291-99f8ead0fc03 · outbound

This paper cites Deep learning,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Deep learning,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T20:41:40.372611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:41:40.372611Z digest=sha256:88b1edae5577e7cd3e313da79f9eeea0454c0e04a6014d88f10032b9c3a32f29

Observation e6d742f8-9b0e-48a6-97b9-86ae355df0b4 · outbound

This paper cites Deep multimodal learning for time series analysis in social computing: a survey,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Deep multimodal learning for time series analysis in social computing: a survey,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:51.961030Z

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=2026-08-06T20:41:40.509205Z digest=sha256:8561b73aa066ef6aa6031eccea9c09fafdb5b644e92c08f26dbaaea48702e9d3

Observation 2a963b6c-90d1-4fd5-83dd-5823f84804d0 · outbound

This paper cites Personalized top-n sequential recommendation via convolutional sequence embedding,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Personalized top-n sequential recommendation via convolutional sequence embedding,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:51.678319Z

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=2026-08-06T20:41:40.579748Z digest=sha256:553c59f31efc198036b3fa707cefa7c95d6d4ff382f926fb41d5ec98502a0978

Observation 84004208-62da-4914-9aaa-399d08569952 · outbound

This paper cites Session-based Recommendations with Recurrent Neural Networks.

Listwise Preference Alignment Optimization for Tail Item Recommendation Session-based Recommendations with Recurrent Neural Networks

Reference 31

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unresolved
no resolver link, observed 2026-08-06T20:41:40.662423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:41:40.662423Z digest=sha256:51663bed9efaa222082cb8a3c9d05b180eb7f10c39a3fbaee7bd2b62b61d13fb

Observation 5810dea8-fd51-4a07-825b-3f77c981a26b · outbound

This paper cites Adversarial and contrastive variational autoencoder for sequential recommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Adversarial and contrastive variational autoencoder for sequential recommendation,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:51.377850Z

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=2026-08-06T20:41:40.749342Z digest=sha256:f3ae1927a574511d9810758df66858c1679c96ef8313d0bfa5a513c57d7b65b6

Observation f56d2789-4528-4a40-b17e-25a8475d1c2c · outbound

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

Listwise Preference Alignment Optimization for Tail Item Recommendation Self-attentive sequential recommenda- tion,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:51.087944Z

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=2026-08-06T20:41:40.853917Z digest=sha256:64323a39b491a11dcc4baf5e2009cbec19ac11fe8d81586d9a220cf88510e177

Observation 247e9a1c-c925-4d96-86a7-45e2c9f41ff8 · outbound

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

Listwise Preference Alignment Optimization for Tail Item Recommendation Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:50.799411Z

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=2026-08-06T20:41:40.924807Z digest=sha256:27a39ca187437e47a3dc264322293431a352a8b6f04d6a9bf041a7a00b541f68

Observation 7afa5b61-0e33-4074-9b07-980a519e17d2 · outbound

This paper cites Continuous- time sequential recommendation with temporal graph collaborative transformer,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Continuous- time sequential recommendation with temporal graph collaborative transformer,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:50.599925Z

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=2026-08-06T20:41:41.025405Z digest=sha256:3dc77281829b78b5836b4171048801b28cf59b4dbe2b731e6627ddf69b05f414

Observation a14a3bc1-227e-43d7-870f-0497973a6cd4 · outbound

This paper cites Sse-pt: Sequential recommendation via personalized transformer,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Sse-pt: Sequential recommendation via personalized transformer,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:50.414948Z

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=2026-08-06T20:41:41.161772Z digest=sha256:f35bdd77f896081bec39d43d12fd40a980dc071331b88322b4af8c9d24bba63b

Observation 278d45c7-7370-4098-a041-850249553621 · outbound

This paper cites Multi-behavior sequential recommendation with temporal graph transformer,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Multi-behavior sequential recommendation with temporal graph transformer,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:50.209284Z

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=2026-08-06T20:41:41.294014Z digest=sha256:6427edd1fb059292dd233fd6195676f71663d5795854996a4c4cd33449548b16

Observation 01c73360-2ca6-477e-8271-aac18289fcb4 · outbound

This paper cites Kerl: A knowledge-guided reinforcement learning model for sequential rec- ommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Kerl: A knowledge-guided reinforcement learning model for sequential rec- ommendation,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:50.024034Z

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=2026-08-06T20:41:41.364596Z digest=sha256:414f6c426dd6264cd58d4f34037229ce75f0392a60308657b0b4ae64cd59f9d8

Observation f3e0344e-8ea5-4903-be4d-20f7a98daacf · outbound

This paper cites Diffurec: A diffusion model for sequential recommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Diffurec: A diffusion model for sequential recommendation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:49.858652Z

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=2026-08-06T20:41:41.448375Z digest=sha256:901cbace85b402ae63c7fdcbe2ee5616bd306be5f7df3b5d428da05b101db90a

Observation f7032369-ebb0-446c-a08f-025df9ed527a · outbound

This paper cites Diffusion recommender model,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Diffusion recommender model,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:49.593939Z

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=2026-08-06T20:41:41.549783Z digest=sha256:3be43b7d37d938bd2014ed5fb5f4322f5d865993bbfc11f5e270b59dc8182da0

Observation cc09a59b-2470-4580-820c-0c4957dcfa93 · outbound

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

Listwise Preference Alignment Optimization for Tail Item Recommendation Towards universal sequence representation learning for recommender systems,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:49.395882Z

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=2026-08-06T20:41:41.674196Z digest=sha256:de86d79a0582f7190624a865ff4b0737d8b501fa23ba3309df73be6c2b6f24a4

Observation 33f9ae06-3d35-4bd0-8f39-941fb9a2fdc4 · outbound

This paper cites Text is all you need: Learning language representations for sequential recommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Text is all you need: Learning language representations for sequential recommendation,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:49.168643Z

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=2026-08-06T20:41:41.765194Z digest=sha256:ec1167bb98f04c53dc7fa36728adc18a5eeacebeb1394cdf52ca623a5b657ad9

Observation 792916a2-9a0f-492d-b315-ae830632ac12 · outbound

This paper cites Recommendation as language processing (rlp): A unified pretrain, personalized prompt & JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2025 12 predict paradigm (p5),.

Listwise Preference Alignment Optimization for Tail Item Recommendation Recommendation as language processing (rlp): A unified pretrain, personalized prompt & JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2025 12 predict paradigm (p5),

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:48.871478Z

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=2026-08-06T20:41:41.830282Z digest=sha256:284951741488fa256f0c0305fd43673ac3e251275da2e2e4a9ea32fdb9f0a611

Observation 56989444-a88b-4949-a553-85d22ce213b1 · outbound

This paper cites Rah! recsys–assistant–human: A human-centered recommendation framework with llm agents,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Rah! recsys–assistant–human: A human-centered recommendation framework with llm agents,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T20:41:41.902241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:41:41.902241Z digest=sha256:26be7ea1dd08c615d20e8d01309af155cde36422df0e861980ede31341f2ea8e

Observation 89ad270d-0f6b-4a8f-b101-65ea4ddfb65a · outbound

This paper cites Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation.

Listwise Preference Alignment Optimization for Tail Item Recommendation Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:41:44.423703Z

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=2026-08-06T20:41:41.968636Z digest=sha256:19545f86132dcc7c41258bac6a124cce20bdd96f7ed4a125e18fe68d1abd8a73

Observation 6cfef95b-9e4a-430b-bcf4-c6a6af5402ed · outbound

This paper cites RaSeRec: Retrieval-Augmented Sequential Recommendation.

Listwise Preference Alignment Optimization for Tail Item Recommendation RaSeRec: Retrieval-Augmented Sequential Recommendation

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T20:41:42.036776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:41:42.036776Z digest=sha256:558009343616a698aaa9a56f13fd3668dafe2058e2dca7ea9c19833348d43b01

Observation 48a3a75b-b098-40a9-9211-6b2d74780c6e · outbound

This paper cites Harnessing multimodal large language models for multimodal sequential recommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Harnessing multimodal large language models for multimodal sequential recommendation,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:48.688289Z

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=2026-08-06T20:41:42.132889Z digest=sha256:71724a48cd46ee270c4761fc83a6a423677865409d8b2a6fc23244a7f03abe7e

Observation 945843ad-5c2d-4ebc-9b33-81c07afd26c6 · outbound

This paper cites Challenging the long tail recommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Challenging the long tail recommendation,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:48.514032Z

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=2026-08-06T20:41:42.221319Z digest=sha256:b36657d625103575f18b5ecf2a3a75f57a5eb0e4573743ba1869398cc0335c5d

Observation bc05148f-ab39-4d94-8459-f262ae39aefc · outbound

This paper cites Two birds one stone: on both cold-start and long-tail recommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Two birds one stone: on both cold-start and long-tail recommendation,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:48.369149Z

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=2026-08-06T20:41:42.290065Z digest=sha256:e37ee0af238414dd9b9424fb7e33d10bb960c0ab48301a9cc73a1e787cf63489

Observation fc4823f5-ce8a-488b-88df-8b0b412180a9 · outbound

This paper cites Correcting sample selection bias by unlabeled data,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Correcting sample selection bias by unlabeled data,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:48.225652Z

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=2026-08-06T20:41:42.408925Z digest=sha256:4cda3c37066758f959ffce1a92c0c42347beb6d6b7bb07fc7660c11d7c3d937f

Observation 7bde959d-e9b5-499a-8b4f-a9b619da9a59 · outbound

This paper cites Reembedding and reweighting are needed for tail item sequential recommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Reembedding and reweighting are needed for tail item sequential recommendation,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:48.029739Z

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=2026-08-06T20:41:42.483298Z digest=sha256:a91dcd3a2ab8a8974981eacc2fc96acc6305085b85ddebdfc199b117bb3eb74f

Observation 4a10b661-baab-425f-96f8-cd37af4266a6 · outbound

This paper cites A model of two tales: Dual transfer learning framework for improved long-tail item recommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation A model of two tales: Dual transfer learning framework for improved long-tail item recommendation,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:47.847634Z

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=2026-08-06T20:41:42.555158Z digest=sha256:2e4c090a97d8a12aaa73ffe0cc078a47386d840d267cdfb56b6b04c78d2976f8

Observation 0422f3be-634a-482c-8716-08df9690f8da · outbound

This paper cites Co-occurrence embedding enhancement for long-tail problem in multi-interest recommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Co-occurrence embedding enhancement for long-tail problem in multi-interest recommendation,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:47.679658Z

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=2026-08-06T20:41:42.647832Z digest=sha256:ebcd063c03f9c121ff2b160188ca54184b821784b04aa9a9bd1553683caea5b0

Observation 0de70695-134e-4cb3-931a-15c494a80212 · outbound

This paper cites Melt: Mutual enhancement of long-tailed user and item for sequential recommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Melt: Mutual enhancement of long-tailed user and item for sequential recommendation,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:47.477494Z

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=2026-08-06T20:41:42.769698Z digest=sha256:a47fbd65eeebd28d49f28f23f684fe37381219c57e486b3ba4403ee8e32a06c0

Observation 796723ec-6c5c-41ba-82e7-3c2bd385a728 · outbound

This paper cites Cities: Contextual inference of tail-item embeddings for sequential recommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Cities: Contextual inference of tail-item embeddings for sequential recommendation,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:47.303819Z

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=2026-08-06T20:41:42.862857Z digest=sha256:312865f92cc19f6ac3b2ff246bd73dd6229877e818fe3e1630cf42a2bc046141

Observation cbb62c76-0468-4d70-bf82-aab5c74d6979 · outbound

This paper cites Metaga: Metalearning with graph-attention for improved long-tail item recommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Metaga: Metalearning with graph-attention for improved long-tail item recommendation,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:47.165504Z

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=2026-08-06T20:41:42.947709Z digest=sha256:d760a1efc6ed102652282457f4bc8b2c265214e982314ab6d5d0ef8436750f1e

Observation f12b0b29-6c15-4fac-bc87-1fad38eae2e7 · outbound

This paper cites Loam: Improving long- tail session-based recommendation via niche walk augmentation and tail session mixup,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Loam: Improving long- tail session-based recommendation via niche walk augmentation and tail session mixup,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:46.966489Z

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=2026-08-06T20:41:43.033113Z digest=sha256:abc8ca35927813fc5cfad786f345906f8779a7109873cb56bb7c283d22efbb97

Observation 8242a554-382b-4569-a394-e9e6b3370860 · outbound

This paper cites Multifdf: Multi-community clustering for fairness-aware recommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Multifdf: Multi-community clustering for fairness-aware recommendation,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:46.782027Z

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=2026-08-06T20:41:43.124628Z digest=sha256:b88eb51a5e58fcf13df049494e43519225fd6f4c20c98b4270b492f532772099

Observation ca04ad6a-f299-4165-b71e-b54f3745419c · outbound

This paper cites Memory bank augmented long-tail sequential recommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Memory bank augmented long-tail sequential recommendation,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:46.638864Z

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=2026-08-06T20:41:43.226594Z digest=sha256:0fd6f45dccc89886f6c244364092a3e61060efda02634cf3aa234fc26525e5bc

Observation 70d92475-65dd-4e67-aef9-c8c6aacb0213 · outbound

This paper cites LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation.

Listwise Preference Alignment Optimization for Tail Item Recommendation LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:41:44.306354Z

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=2026-08-06T20:41:43.311713Z digest=sha256:79468e98073460a6e3e4e64c0fb4e9125b72d5d1a8196e4cba94b25492ca0563

Observation 4e7b87ed-2977-40bb-84c6-202b41d9e45f · outbound

This paper cites Multi- modal mixture of experts representation learning for sequential recom- mendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Multi- modal mixture of experts representation learning for sequential recom- mendation,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:46.390044Z

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=2026-08-06T20:41:43.403687Z digest=sha256:634fa99f8b62897e5f9619dd3227e2068994f64bdfeefbca23cc49df049caf72

Observation 2c63ecfd-c202-4052-a0de-2f054083b7ff · outbound

This paper cites Relation pruning and discriminative sampling over knowledge graph for long-tail recommendation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Relation pruning and discriminative sampling over knowledge graph for long-tail recommendation,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:46.164403Z

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=2026-08-06T20:41:43.474694Z digest=sha256:23c740d01af0a67b57d5b895233fa09118da4c801135282b17d907c1f09ea33b

Observation 923010d7-2b48-4d42-8b1f-5df086741910 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Listwise Preference Alignment Optimization for Tail Item Recommendation Constitutional AI: Harmlessness from AI Feedback

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T20:41:43.548299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:41:43.548299Z digest=sha256:219ba9d60c55aa3269bed32da3ee0c14f001f9d57c37ec3ddf0c646f5ac1ec43

Observation b8b98e14-60b1-483d-8fa0-70cc69246a1c · outbound

This paper cites Controllable preference optimization: toward controllable multi-objective alignment,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Controllable preference optimization: toward controllable multi-objective alignment,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:45.974104Z

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=2026-08-06T20:41:43.615523Z digest=sha256:e132299209002c6041dd7888dc5cb9f10926d578d4f261f0535754096f847674

Observation 92b48b15-092c-4a7f-bbf1-646132ebc398 · outbound

This paper cites Arithmetic control of llms for diverse user prefer- ences: directional preference alignment with multi-objective rewards,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Arithmetic control of llms for diverse user prefer- ences: directional preference alignment with multi-objective rewards,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:45.806487Z

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=2026-08-06T20:41:43.664481Z digest=sha256:e2124ec594b589448d76c719fba81cf11a0570653019665a7a3897377f11a7ab

Observation 7cf5678c-3c56-4577-9787-0b7b71ad3896 · outbound

This paper cites Sequence tutor: Conservative fine-tuning of sequence generation models with kl-control,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Sequence tutor: Conservative fine-tuning of sequence generation models with kl-control,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:45.592847Z

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=2026-08-06T20:41:43.712445Z digest=sha256:2572a08f714072ad7045cf3e1aab46eb562516dca20b435f48fd702d86adbe64

Observation 0fa20e66-1ff7-4d4c-9633-f91b495a82da · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Direct preference optimization: Your language model is secretly a reward model,

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T20:41:43.759936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:41:43.759936Z digest=sha256:852b3f9ba45639ca043d6769ca1fd3ebe5e543cca72259c160939db0d03417cf

Observation 53b09958-dd5b-4597-a660-79ce216a648b · outbound

This paper cites Relative entropy policy search,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Relative entropy policy search,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:45.422220Z

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=2026-08-06T20:41:43.818927Z digest=sha256:e6e65be588a680e81305468305cfe6565459e0c64a54d80824c5c95872136921

Observation de5619a1-3c5e-415f-9a3d-7af5cf934f88 · outbound

This paper cites Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.

Listwise Preference Alignment Optimization for Tail Item Recommendation Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-06T20:41:43.882927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:41:43.882927Z digest=sha256:24cac5bcafd18482499a3bdce30c2494a5fd96411fe5bdf5ab1be6fa4e86dab5

Observation c636d5ca-f186-4b93-b703-c032ffbfc1cf · outbound

This paper cites The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables.

Listwise Preference Alignment Optimization for Tail Item Recommendation The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T20:41:43.934176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:41:43.934176Z digest=sha256:403a912a82932a9041825a67ae57df7595b05482279b29bef08938be3b959ddb

Observation 0774ffe5-9a04-44ff-bbad-cb68d7e4fc61 · outbound

This paper cites Stochastic beams and where to find them: The gumbel-top-k trick for sampling sequences without re- placement,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Stochastic beams and where to find them: The gumbel-top-k trick for sampling sequences without re- placement,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:45.257215Z

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.

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Observation 3ba0c861-dd8c-44f1-9fe8-c664a612fe0b · outbound

This paper cites On sampled metrics for item recommen- dation,.

Listwise Preference Alignment Optimization for Tail Item Recommendation On sampled metrics for item recommen- dation,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:45.066879Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ef216127-e861-4ca8-81a1-998a6aa1d6a7 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Learning transferable visual models from natural language supervision,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:44.816722Z

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.

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Observation a55453c5-2def-41d6-8c43-34e14f3a3ec3 · outbound

This paper cites Enhancing sequential recommendation via llm-based semantic embedding learning,.

Listwise Preference Alignment Optimization for Tail Item Recommendation Enhancing sequential recommendation via llm-based semantic embedding learning,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:41:44.708145Z

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.

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Pith citing papers

Observation 33953842-fa4f-4671-a257-5acce53f88eb · inbound

Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation cites this paper.

Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation Listwise Preference Alignment Optimization for Tail Item Recommendation

Reference 35

Resolution
verified exact
orphan_title_repair, observed 2026-05-13T17:19:43.632618Z

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.

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