Paper Citation Record · LEDGER

Language-Model Prior Overcomes Cold-Start Items

As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 2 inbound Pith citation observations for arXiv:2411.09065.

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

pith.paper-citation-record.v1
2411.09065 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:09:41.780391Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:22:48.089442Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T05:27:23.163655Z

Reference resolution

31 of 31 outbound references displayed

verified exact1
verified fuzzy23
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 675666c6-4cff-4641-9278-3367d08e29b0 · outbound

This paper cites Falcon-40B : an open large language model with state-of-the-art performance.

Language-Model Prior Overcomes Cold-Start Items Falcon-40B : an open large language model with state-of-the-art performance

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T21:09:41.651683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df8bf4a7-0aa9-464e-9a48-fadc6fbcd1ca · outbound

This paper cites Regularization and semi-supervised learning on large graphs.

Language-Model Prior Overcomes Cold-Start Items Regularization and semi-supervised learning on large graphs

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:42.206588Z

Source-reported events for the cited work

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

Observation cbbbc149-01fc-4cd6-a630-a1b19bf7f7a2 · outbound

This paper cites A survey of collaborative filtering-based recommender systems: From traditional methods to hybrid methods based on social networks.

Language-Model Prior Overcomes Cold-Start Items A survey of collaborative filtering-based recommender systems: From traditional methods to hybrid methods based on social networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:42.193353Z

Source-reported events for the cited work

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

Observation 73011e76-508c-4782-805c-ec7d3cdf7cab · outbound

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

Language-Model Prior Overcomes Cold-Start Items BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T21:09:41.664580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7486500-9e91-447b-80e3-d0898122216d · outbound

This paper cites Zero-Shot Recommender Systems.

Language-Model Prior Overcomes Cold-Start Items Zero-Shot Recommender Systems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T21:09:41.669135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6eb46344-9bc0-4e38-80c7-809af3ef1b12 · outbound

This paper cites Trending now: Modeling trend recommendations.

Language-Model Prior Overcomes Cold-Start Items Trending now: Modeling trend recommendations

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:42.180262Z

Source-reported events for the cited work

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

Observation ae1f9fe3-a5ce-4f69-984a-6e32201652f8 · outbound

This paper cites Addressing cold start in product search via empirical bayes.

Language-Model Prior Overcomes Cold-Start Items Addressing cold start in product search via empirical bayes

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:42.167733Z

Source-reported events for the cited work

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

Observation 8464bd64-cb91-4f89-821d-9bfe3d296971 · outbound

This paper cites Session-based recommendations with recurrent neural networks.

Language-Model Prior Overcomes Cold-Start Items Session-based recommendations with recurrent neural networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:42.155352Z

Source-reported events for the cited work

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

Observation 5bbe3791-85ac-418c-8555-9728318d71d6 · outbound

This paper cites Self-attentive sequential recommendation.

Language-Model Prior Overcomes Cold-Start Items Self-attentive sequential recommendation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:42.142882Z

Source-reported events for the cited work

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

Observation 7e012978-5927-4ab6-9b48-670f89fc350a · outbound

This paper cites Self-attentive sequential recommendation.

Language-Model Prior Overcomes Cold-Start Items Self-attentive sequential recommendation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:42.129119Z

Source-reported events for the cited work

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

Observation ca11ffbb-747c-4cb3-bf3f-f40f46f2c83e · outbound

This paper cites Self-attentive sequential recommendation.

Language-Model Prior Overcomes Cold-Start Items Self-attentive sequential recommendation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:42.114771Z

Source-reported events for the cited work

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

Observation ae6cd263-5bf1-40ee-b775-d36018888ad3 · outbound

This paper cites Adam: A method for stochastic optimization.

Language-Model Prior Overcomes Cold-Start Items Adam: A method for stochastic optimization

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:42.100221Z

Source-reported events for the cited work

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

Observation 8a6ff17b-38e2-447e-bba9-efa45370bd84 · outbound

This paper cites Advances in collaborative filtering.

Language-Model Prior Overcomes Cold-Start Items Advances in collaborative filtering

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:42.086978Z

Source-reported events for the cited work

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

Observation ff0b7f8f-a3d3-4e3d-bb7e-d870d9121a19 · outbound

This paper cites Text Is All You Need: Learning Language Representations for Sequential Recommendation.

Language-Model Prior Overcomes Cold-Start Items Text Is All You Need: Learning Language Representations for Sequential Recommendation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T21:09:41.707001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ce587ae-d76f-46f2-9156-5bc56943266b · outbound

This paper cites Pre-trained Recommender Systems: A Causal Debiasing Perspective.

Language-Model Prior Overcomes Cold-Start Items Pre-trained Recommender Systems: A Causal Debiasing Perspective

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-12T21:09:41.849251Z

Source-reported events for the cited work

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

Observation eb4c8a46-5ea2-401f-8346-544f8a8ae97d · outbound

This paper cites Augmenting sequential recommendation with pseudo-prior items via reversely pre-training transformer.

Language-Model Prior Overcomes Cold-Start Items Augmenting sequential recommendation with pseudo-prior items via reversely pre-training transformer

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:42.074220Z

Source-reported events for the cited work

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

Observation be4d4345-fc39-4d50-844a-ea9bc1035b9a · outbound

This paper cites Temporal-contextual recommendation in real-time.

Language-Model Prior Overcomes Cold-Start Items Temporal-contextual recommendation in real-time

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:42.062020Z

Source-reported events for the cited work

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

Observation 9373824c-b8fb-4e74-b164-b391de4d2420 · outbound

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

Language-Model Prior Overcomes Cold-Start Items Justifying recommendations using distantly-labeled reviews and fine-grained aspects

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:42.049640Z

Source-reported events for the cited work

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

Observation c27b3795-9a0c-406a-b7f0-0b20592f954b · outbound

This paper cites Warm up cold-start advertisements: Improving ctr predictions via learning to learn id embeddings.

Language-Model Prior Overcomes Cold-Start Items Warm up cold-start advertisements: Improving ctr predictions via learning to learn id embeddings

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:42.037547Z

Source-reported events for the cited work

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

Observation fe1fd35a-06c8-4189-bebd-0769601307f6 · outbound

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

Language-Model Prior Overcomes Cold-Start Items Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T21:09:41.733503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46b72a03-b504-4453-8594-b8305899b72a · outbound

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

Language-Model Prior Overcomes Cold-Start Items BPR: Bayesian Personalized Ranking from Implicit Feedback

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T21:09:41.739305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d34d015b-15ac-49bd-b93c-8de2c4f9706a · outbound

This paper cites Collaborative filtering recommender systems.

Language-Model Prior Overcomes Cold-Start Items Collaborative filtering recommender systems

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:42.025163Z

Source-reported events for the cited work

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

Observation 034170d1-710d-4723-84e8-89e517660b60 · outbound

This paper cites Deep content-based music recommendation.

Language-Model Prior Overcomes Cold-Start Items Deep content-based music recommendation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:42.011313Z

Source-reported events for the cited work

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

Observation 5a9f7c59-3389-4849-8f2a-a374856fa4e0 · outbound

This paper cites Content-based neighbor models for cold start in recommender systems.

Language-Model Prior Overcomes Cold-Start Items Content-based neighbor models for cold start in recommender systems

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:41.996429Z

Source-reported events for the cited work

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

Observation fb503588-4304-4831-a3bd-1c196bd25393 · outbound

This paper cites Dropoutnet: Addressing cold start in recommender systems.

Language-Model Prior Overcomes Cold-Start Items Dropoutnet: Addressing cold start in recommender systems

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:41.982364Z

Source-reported events for the cited work

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

Observation 05fe7bca-14da-4525-a9c1-12a871ea1877 · outbound

This paper cites Collaborative topic modeling for recommending scientific articles.

Language-Model Prior Overcomes Cold-Start Items Collaborative topic modeling for recommending scientific articles

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:41.967067Z

Source-reported events for the cited work

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

Observation 9e01d29c-5532-4f7f-8ef9-15370287b0e5 · outbound

This paper cites Collaborative deep learning for recommender systems.

Language-Model Prior Overcomes Cold-Start Items Collaborative deep learning for recommender systems

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:41.953155Z

Source-reported events for the cited work

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

Observation 763e1d88-5396-499a-b983-d22573f45d9f · outbound

This paper cites Collaborative knowledge base embedding for recommender systems.

Language-Model Prior Overcomes Cold-Start Items Collaborative knowledge base embedding for recommender systems

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:41.939758Z

Source-reported events for the cited work

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

Observation a7bbd608-c90e-4dc5-bfd2-d3249e767395 · outbound

This paper cites Language models as recommender systems: Evaluations and limitations.

Language-Model Prior Overcomes Cold-Start Items Language models as recommender systems: Evaluations and limitations

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:41.927022Z

Source-reported events for the cited work

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

Observation e03859ab-b13c-4428-baa0-2908cc7d283e · outbound

This paper cites S ^3 - Rec : Self-supervised learning for sequential recommendation with mutual information maximization.

Language-Model Prior Overcomes Cold-Start Items S ^3 - Rec : Self-supervised learning for sequential recommendation with mutual information maximization

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:41.914163Z

Source-reported events for the cited work

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

Observation 0b8bf036-7965-48ac-83c5-89c08e5c2bab · outbound

This paper cites Online convex programming and generalized infinitesimal gradient ascent.

Language-Model Prior Overcomes Cold-Start Items Online convex programming and generalized infinitesimal gradient ascent

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T21:09:41.780391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 25d45bb1-6979-4675-9949-ee106d5898d9 · inbound

Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based Initialization cites this paper.

Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based Initialization Language-Model Prior Overcomes Cold-Start Items

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:48.089442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39cc5c2f-f4bf-4ce0-bdfa-fd7d5c28a8d9 · inbound

Diagnosing LLM-based Rerankers in Cold-Start Recommender Systems: Coverage, Exposure and Practical Mitigations cites this paper.

Diagnosing LLM-based Rerankers in Cold-Start Recommender Systems: Coverage, Exposure and Practical Mitigations Language-Model Prior Overcomes Cold-Start Items

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-16T05:27:23.166732Z

Source-reported events for the cited work

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