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Paper Citation Record · LEDGER

Listwise Preference Alignment Optimization for Tail Item Recommendation

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

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

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

source=pdf_text observed=2026-08-06T20:41:38.070179Z digest=sha256:3dc4c8c162d599e6d62177b0c8a699ad7f51c89a7c03baeb9cbcbcf331507a9a

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

source=pdf_text observed=2026-08-06T20:41:38.147888Z digest=sha256:c82f6132ec2cc70e3ba34f1381ecd4d973e5b934b12ddb7fd165a4b5bd81b19a

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

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

source=pdf_text observed=2026-08-06T20:41:38.411886Z digest=sha256:9fc0b098506f66c5d9704894c0a47dee8831371ebec93bf39058ef1ad1827d9e

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

source=pdf_text observed=2026-08-06T20:41:38.513951Z digest=sha256:15495dbcc3e32948b28c6f48f62cdb467bc6caf9f73f7eb073f2bef38b733763

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

source=pdf_text observed=2026-08-06T20:41:38.615787Z digest=sha256:a548bb81cbd2965489e0eec1b9dedfb11d6be1604b854a1f388b44c3fdeb17d8

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

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

source=pdf_text observed=2026-08-06T20:41:39.129224Z digest=sha256:f02d2e897eef47e5cdd1270626ff959ba689c87863d6379f017832f390c73475

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

source=pdf_text observed=2026-08-06T20:41:39.609368Z digest=sha256:573da6ef806f514daaf49d5589b89ce0368e8194eb5904352314b8dcecec7a17

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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no resolver link, observed 2026-08-06T20:41:39.712279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

source=pdf_text observed=2026-08-06T20:41:39.803384Z digest=sha256:ddafc72f6ce574b813f1a0170bb999c9fdf6d0dbab4cf2358e77a2f9374680ae

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

source=pdf_text observed=2026-08-06T20:41:39.852297Z digest=sha256:8be3b3254afa25b54cf57c16f857000ca7c8440bbc0485b7311bfe71035f6ca7

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

source=pdf_text observed=2026-08-06T20:41:39.929470Z digest=sha256:d045e80758272e2170079b72b0f1f4b8df93462fa67ed0167507584e2796ca7d

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

source=pdf_text observed=2026-08-06T20:41:40.064882Z digest=sha256:343f577c66ed5f014dfb0b7f16b4a9dc61362224c772fde50f6e7bd1e3da8e7a

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

source=pdf_text observed=2026-08-06T20:41:40.167794Z digest=sha256:ab84bb101b1228fc9d70044d0d32f8439a35c3ad4546fb390b9700327d80bfd7

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

source=pdf_text observed=2026-08-06T20:41:40.270009Z digest=sha256:a313b0af2e93f2a9e88ab3f6f9540ca2635093bf2254f672f9efa9f44488ccf2

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

source=pdf_text observed=2026-08-06T20:41:40.509205Z digest=sha256:78f9dffe8dfa89dd46513cc6c4b7df3a5f170d266acb3a5229dca90b9993c734

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

source=pdf_text observed=2026-08-06T20:41:40.579748Z digest=sha256:50e854db1a5ad44818d95b0466b7e77766db33e56afe1edd15d00c8316b0b841

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

source=pdf_text observed=2026-08-06T20:41:40.749342Z digest=sha256:9a92051dbc1d8276a40ac6218ea4b45a2c14c9fab384bc5f2cb58ae2d404dc3a

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

source=pdf_text observed=2026-08-06T20:41:40.853917Z digest=sha256:a48a5fdf57eb534b24bd016f99539cd43a6cdc0368b368e162f283d2d82fbca6

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

source=pdf_text observed=2026-08-06T20:41:40.924807Z digest=sha256:b4e2fdc356ed5d69cfd6fbee4c1212ab06451056cec1d18b913be2fd8e20a8b4

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

source=pdf_text observed=2026-08-06T20:41:41.025405Z digest=sha256:887d481797ce64a2894af0b455d743aa85a3fb1646346558d0e24b60ccf31321

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

source=pdf_text observed=2026-08-06T20:41:41.161772Z digest=sha256:834c141ab5c3b7490fc0ef9dda569195f9aa5df034f83aeffb686c206087e463

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

source=pdf_text observed=2026-08-06T20:41:41.294014Z digest=sha256:8fc06aa016623c3429e70bd87a3d2c859fa27b0547ad486f676d48305fd90016

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

source=pdf_text observed=2026-08-06T20:41:41.364596Z digest=sha256:9b50b37434bd7c92a60d08c2698e11be328dab7f45fbf8169daa4caf407bf07f

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

source=pdf_text observed=2026-08-06T20:41:41.448375Z digest=sha256:2575ae2d87213c1f38a4df8f551ba7b886059ac766727417b20d77d0ed442774

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

source=pdf_text observed=2026-08-06T20:41:41.549783Z digest=sha256:c9462a43b1509bf3da33caef82e4db9c981639265debccd9e86b0177e4380691

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

source=pdf_text observed=2026-08-06T20:41:41.674196Z digest=sha256:4430e4b7b907547b4721b6d1d07b7809da9d6ead26d6d5b582d258c64b479d75

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

source=pdf_text observed=2026-08-06T20:41:41.765194Z digest=sha256:17f6cf62602e6e6fbe7933a8005998f5391ac6901a923f3943f33fc07eeb4cfb

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

source=pdf_text observed=2026-08-06T20:41:41.830282Z digest=sha256:8279bbf53bc8c1cec31c36cef632d3aa6a4056fa004798a4d71c5be7b7221713

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

source=pdf_text observed=2026-08-06T20:41:41.968636Z digest=sha256:a7084ce3d9a79d7a4c25f0693d881e6ff38d19bd7c80458a7e95d1c51d772228

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

source=pdf_text observed=2026-08-06T20:41:42.132889Z digest=sha256:c89ae45f49d8b10ce69b8619817d47de1d8f2062e538de9a297eab1fa74454e9

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

source=pdf_text observed=2026-08-06T20:41:42.221319Z digest=sha256:4adf91a03f621352bc903a0e4c73dd38f08ea8b92a25ecfc22bdfc48fe72a4eb

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

source=pdf_text observed=2026-08-06T20:41:42.290065Z digest=sha256:df31fe51e6ea3f6b43cb71a8494aaffc044a496930a8e5972e8575770a07ab6e

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

source=pdf_text observed=2026-08-06T20:41:42.408925Z digest=sha256:3b2d1d197523ea824753d46581d7cbf48847c2b76f810af324955fe8c15c233e

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

source=pdf_text observed=2026-08-06T20:41:42.483298Z digest=sha256:80b689d0070ca734009d3315740ae156e1d59c526c1e9935b9cea0e3fcd87e55

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

source=pdf_text observed=2026-08-06T20:41:42.555158Z digest=sha256:0ce5159847af51ee4e993e68d87841ce711a6c6b8f94625a660ba20a3127c48c

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

source=pdf_text observed=2026-08-06T20:41:42.647832Z digest=sha256:192e0fa057e2ca825be0d4d43f4125c211dcad411bc3682f73ff8530bdbe2a9a

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

source=pdf_text observed=2026-08-06T20:41:42.769698Z digest=sha256:bb6dc2057ffc47b6ec34c3df278aa27491144dbc816b56184f2ee35eb09f3c41

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

source=pdf_text observed=2026-08-06T20:41:42.862857Z digest=sha256:7c25b7fee777b482d83e91b55ca84a256f45f97f8fe73054e8286ead439a8aa1

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

source=pdf_text observed=2026-08-06T20:41:42.947709Z digest=sha256:df38c0962367ebb39ca1d52a375bf94a467af71cbcf59f2b4f498b8915d8072f

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

source=pdf_text observed=2026-08-06T20:41:43.033113Z digest=sha256:15fb30b5ef4e4979addde5f59bc22b2f0cbfb5746a0e5aad48ca8a99a3656d6d

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

source=pdf_text observed=2026-08-06T20:41:43.124628Z digest=sha256:12fc70c979532237bc81d9d5bf24bb9719464b991f05dc7da85aadd02019dda7

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

source=pdf_text observed=2026-08-06T20:41:43.226594Z digest=sha256:c55a544c6602a7574b2133b9b5f85973be33c0ecbd9613392fd35a5a1281b058

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

source=pdf_text observed=2026-08-06T20:41:43.311713Z digest=sha256:5396865216dc71921baed4025660535597ce503abea2ed0f79857d4c53f9a228

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

source=pdf_text observed=2026-08-06T20:41:43.403687Z digest=sha256:49c8bfc406465d811a799d225f0715295af95e8e8a39833a44eb9cd703fe9952

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

source=pdf_text observed=2026-08-06T20:41:43.474694Z digest=sha256:497497c8d76bd3b3232157be3431fcd043f8a02c21a0c1b50e02404d057c3eb1

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

source=pdf_text observed=2026-08-06T20:41:43.615523Z digest=sha256:06c682234e0d1322c532e29ba8616b82e134819aeaf654a5312de121438b8015

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

source=pdf_text observed=2026-08-06T20:41:43.664481Z digest=sha256:b6e3bf3447115f701a5e440ff0124e77cfa3e5a9787dfad526e9fb8a437d39ef

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

source=pdf_text observed=2026-08-06T20:41:43.712445Z digest=sha256:da0266418f3d5fd734f198653287d2f694d3f503972e2f619fa9712fdc8ea2a8

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

source=pdf_text observed=2026-08-06T20:41:43.818927Z digest=sha256:dfe850133e737571ced60bf87ce42dbe2b13bf35dfbc09961286d13491eae11f

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 2026-08-07T06:34:17.273281+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

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=pdf_text observed=2026-08-06T20:41:44.040668Z digest=sha256:144ba1c8675229be9cc6d5bb6063abc1e82af0aa33f3324d5152616bc7991c86

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

source=pdf_text observed=2026-08-06T20:41:44.140534Z digest=sha256:8606d3332ce0c68b5e5be118ae57c3b99eca408f0abec60199c1c40e59e6d44b

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

source=pdf_text observed=2026-05-13T17:14:59.574130Z digest=sha256:b2d708f422187908d1b212b5aa73433152007da08bb368641acc8da3822832ef