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Paper Citation Record · LEDGER

RecGPT: A Foundation Model for Sequential Recommendation

As of 14 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2506.06270.

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

pith.paper-citation-record.v1
2506.06270 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:01:36.398065Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

  • verified exact0
  • verified fuzzy33
  • unresolved16
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 378562af-ab18-4f42-9f09-8415faa8df22 · outbound

This paper cites Time to shop for valentine’s day: Shopping occasions and sequential recommendation in e-commerce.

RecGPT: A Foundation Model for Sequential Recommendation Time to shop for valentine’s day: Shopping occasions and sequential recommendation in e-commerce

Reference 1

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raw_fallback, observed 2026-08-07T06:01:37.196944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f0e9fa30-c37b-45c0-b1a6-89551fa7d158 · outbound

This paper cites Diffmm: Multi-modal diffusion model for recommendation.

RecGPT: A Foundation Model for Sequential Recommendation Diffmm: Multi-modal diffusion model for recommendation

Reference 2

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raw_fallback, observed 2026-08-07T06:01:37.180634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.166837Z digest=sha256:e2e184a8a6e510ca78e8ad341c7d9991971ce72e727646fd4868e84566f8fead

Observation cbabd2d3-13b5-4aa0-a0f6-10c11f03f3e5 · outbound

This paper cites A matrix factorization technique with trust propagation for recommendation in social networks.

RecGPT: A Foundation Model for Sequential Recommendation A matrix factorization technique with trust propagation for recommendation in social networks

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.171776Z digest=sha256:ffd9f26f5eef4b504346072c7b1cb27cdb79d48963767f51ccde998e5294ba40

Observation 4fc91e81-7959-41ad-9eac-f7f07d5c29e1 · outbound

This paper cites Deep learning for sequential recommendation: Algorithms, influential factors, and evaluations.

RecGPT: A Foundation Model for Sequential Recommendation Deep learning for sequential recommendation: Algorithms, influential factors, and evaluations

Reference 4

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raw_fallback, observed 2026-08-07T06:01:37.148900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.176989Z digest=sha256:7e773f52f9a1a8ffb8d5cc4d7b8dba4434ca4d5bf6219bed9d3a608fe901bdcd

Observation b1dbac06-99ef-4c03-ad06-dd4533a163b5 · outbound

This paper cites Cross-domain recom- mendation via user interest alignment.

RecGPT: A Foundation Model for Sequential Recommendation Cross-domain recom- mendation via user interest alignment

Reference 5

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raw_fallback, observed 2026-08-07T06:01:37.127351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.181801Z digest=sha256:d4be092610a5b891843fd8e10b207dab29d71413d2b94d197fe544cbe3cf2cfc

Observation 1aa43398-7793-41c8-aedb-92a097d67dce · outbound

This paper cites Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap.

RecGPT: A Foundation Model for Sequential Recommendation Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap

Reference 6

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no resolver link, observed 2026-08-07T06:01:36.186586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:01:36.186586Z digest=sha256:3486f442782c0d8e716813b38fee1a4352abcd5c06533d663bd5cfc1ba5733c6

Observation f69ada4f-2f9d-41f7-985f-77ad1cbbec5a · outbound

This paper cites Visual instruction tuning.

RecGPT: A Foundation Model for Sequential Recommendation Visual instruction tuning

Reference 7

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no resolver link, observed 2026-08-07T06:01:36.192051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:01:36.192051Z digest=sha256:2611f42b2dfaf7d6ce908d835d1cb478e5cede08f0917be2d24e2c1e8393c9fd

Observation 380175ac-4967-49d2-8b02-9204e70ecd4e · outbound

This paper cites Deepseek-v3 technical report, 2024.

RecGPT: A Foundation Model for Sequential Recommendation Deepseek-v3 technical report, 2024

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:01:36.196681Z digest=sha256:5f19c8ae8df9efcb39048eb6ba6f0107ae5ec1b83c7d10f071e8c74187d24e55

Observation 0cde70c3-0cde-42c7-9b51-11ece0563610 · outbound

This paper cites RecLM: Recommendation Instruction Tuning.

RecGPT: A Foundation Model for Sequential Recommendation RecLM: Recommendation Instruction Tuning

Reference 9

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no resolver link, observed 2026-08-07T06:01:36.201096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:01:36.201096Z digest=sha256:805ea6ca7d27cb07c1e2ca65edb376e0cefaf2f4645a0ff9ca45d1fc05ae0f10

Observation 8cd0f4a4-38c0-48c9-846d-a74f2e7e714f · outbound

This paper cites Mpnet: Masked and permuted pre-training for language understanding.

RecGPT: A Foundation Model for Sequential Recommendation Mpnet: Masked and permuted pre-training for language understanding

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-07T06:01:37.090780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.205798Z digest=sha256:256c3aae728d584596c821c4f3984a6f39f243c0f029d0bb50e19e835aa27311

Observation d48e1064-5777-43c9-b5bc-daa9843fa7b2 · outbound

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

RecGPT: A Foundation Model for Sequential Recommendation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:01:36.210435Z digest=sha256:4d2a13792283f91719388a5a7cd823d5818ec1317cbb7b2096520651ed377c94

Observation 8a1ff7ad-be32-4684-92bb-4eeb571278e9 · outbound

This paper cites Xlnet: Generalized autoregressive pretraining for language understanding.

RecGPT: A Foundation Model for Sequential Recommendation Xlnet: Generalized autoregressive pretraining for language understanding

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-07T06:01:37.074459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.216120Z digest=sha256:d7f6d2c2a73d946b44b8157c7277b7e2e0687ebef0a109e7cb9dede74be53f83

Observation 3fed63ed-167d-424f-9cf2-0f9f21c5c6bd · outbound

This paper cites Taming transformers for high-resolution image synthesis.

RecGPT: A Foundation Model for Sequential Recommendation Taming transformers for high-resolution image synthesis

Reference 13

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no resolver link, observed 2026-08-07T06:01:36.223099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:01:36.223099Z digest=sha256:1d36ddfdf7864fb6333cd1f99d46a6f4fe82f6379a0de0852e6c5c0600ec2caa

Observation 2042c20e-928f-42c3-91b2-cd15897cb318 · outbound

This paper cites Finite Scalar Quantization: VQ-VAE Made Simple.

RecGPT: A Foundation Model for Sequential Recommendation Finite Scalar Quantization: VQ-VAE Made Simple

Reference 14

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T06:01:36.227465Z digest=sha256:d35557aa2daddfb504b79d94fc84156aea4eed05dce0782114d050df58318d8d

Observation 4cc719d1-4f5c-4011-91f4-9290a39cc87a · outbound

This paper cites Language models are few-shot learners.

RecGPT: A Foundation Model for Sequential Recommendation Language models are few-shot learners

Reference 15

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no resolver link, observed 2026-08-07T06:01:36.232135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:01:36.232135Z digest=sha256:0515170dacad772f61184b57f2c366b91c384abba6db229d16074e51d24178ad

Observation fa23117a-5724-4082-8f49-d4ffdd2d2895 · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction.

RecGPT: A Foundation Model for Sequential Recommendation Visual autoregressive modeling: Scalable image generation via next-scale prediction

Reference 16

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unresolved
no resolver link, observed 2026-08-07T06:01:36.236847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:01:36.236847Z digest=sha256:6cf262600152fa3a2c13e962e10c2a0b7e7f94cde72bf7b5ddcb0d1c38423626

Observation 0aa59766-f0ea-4828-ac19-e322452ff870 · outbound

This paper cites Unified-io: A unified model for vision, language, and multi-modal tasks.

RecGPT: A Foundation Model for Sequential Recommendation Unified-io: A unified model for vision, language, and multi-modal tasks

Reference 17

Resolution
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no resolver link, observed 2026-08-07T06:01:36.241145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:01:36.241145Z digest=sha256:e36c987d1ba7c3a48d08e3ddb188edd00949d425590d31f5518b9b3d67754492

Observation 84436459-8f7a-4d7d-bde3-4e582d586d86 · outbound

This paper cites Contrastive learning for representation degeneration problem in sequential recommendation.

RecGPT: A Foundation Model for Sequential Recommendation Contrastive learning for representation degeneration problem in sequential recommendation

Reference 18

Resolution
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raw_fallback, observed 2026-08-07T06:01:37.018540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.246127Z digest=sha256:15f090a344832ff3ca5ba2342dab393dd470dd846c89a95a58be8905af6ced78

Observation 89026490-9034-4def-9a3c-82d47073e9fa · outbound

This paper cites Emergent abilities of large language models.

RecGPT: A Foundation Model for Sequential Recommendation Emergent abilities of large language models

Reference 19

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raw_fallback, observed 2026-08-07T06:01:37.003445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.250729Z digest=sha256:9e0821f2a5563bb8ee277c3bbc0188e14ead1d1a8cf020f31dce30cabcd21553

Observation 8e3e1000-5d64-4078-8def-7133a96b2096 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

RecGPT: A Foundation Model for Sequential Recommendation LLaMA: Open and Efficient Foundation Language Models

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:01:36.255269Z digest=sha256:7f8a353e769e52782305eb9e523815fcd2a637219da0036efd15a6f6d3e7a196

Observation 6155fa89-196f-4d8a-9cd5-e2f19a0268a2 · outbound

This paper cites S3-rec: Self-supervised learning for sequential recommendation with mutual information maximization.

RecGPT: A Foundation Model for Sequential Recommendation S3-rec: Self-supervised learning for sequential recommendation with mutual information maximization

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.988855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.259859Z digest=sha256:89b50963dd0da76a4d91e395ca8220c0e320ae98c8dc04fcdc993ea8bea780d2

Observation 16103bd1-6224-4509-b83e-34223e9c7111 · outbound

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

RecGPT: A Foundation Model for Sequential Recommendation Towards universal sequence representation learning for recommender systems

Reference 22

Resolution
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raw_fallback, observed 2026-08-07T06:01:36.972992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.264837Z digest=sha256:dc4dbe70f0df691587125a74f22ccec823ff4d0fa2ab5d6a1244ffafc14b2255

Observation 9994d515-9543-4a04-a080-c256cac1b7e4 · outbound

This paper cites Learning vector-quantized item representation for transferable sequential recommenders.

RecGPT: A Foundation Model for Sequential Recommendation Learning vector-quantized item representation for transferable sequential recommenders

Reference 23

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raw_fallback, observed 2026-08-07T06:01:36.957366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.269544Z digest=sha256:729168382a98a053749ff0582d42524663f12fa3f9c8f373cd51826991579511

Observation af2cabef-4d4d-4aae-a1d2-1d414a923bfd · outbound

This paper cites Recommender systems with generative retrieval.

RecGPT: A Foundation Model for Sequential Recommendation Recommender systems with generative retrieval

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.941116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.274157Z digest=sha256:8113a262e558975ace0b9966e8039bc9475b2295a0fb8b94168c94e4fdb2b55f

Observation 4e940188-2665-4715-b02d-133498c56a60 · outbound

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

RecGPT: A Foundation Model for Sequential Recommendation Text is all you need: Learning language representations for sequential recommendation

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.924938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.278913Z digest=sha256:702816db8844962cc66c99822dec6bcb950de26f8d7946c6a1742f4060b383c4

Observation 3f889005-1802-4011-8d0f-95f14c1955e6 · outbound

This paper cites Idgenrec: Llm-recsys alignment with textual id learning.

RecGPT: A Foundation Model for Sequential Recommendation Idgenrec: Llm-recsys alignment with textual id learning

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.908246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.283532Z digest=sha256:74a84826ad6494d59534a09f57f257bc9c054b968d75e4126b7041919f80ae59

Observation b813d2af-40af-4818-8155-de7c6de119af · outbound

This paper cites Self-attentive sequential recommendation.

RecGPT: A Foundation Model for Sequential Recommendation Self-attentive sequential recommendation

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.888685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.288087Z digest=sha256:0a126f40ef24815cdbbf772512fc8ff1cfa1945202e74c63029328bb8a5f43de

Observation eb91aeeb-723a-4290-9486-b221d97d49cb · outbound

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

RecGPT: A Foundation Model for Sequential Recommendation Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.873164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.292915Z digest=sha256:d436a525ec9fd630759b197dc5460717dbdde873f4ec2b1676a5c846d5e3629c

Observation 0238d1c3-0f86-4a5f-bf01-0dd31418bc11 · outbound

This paper cites Where to go next for recommender systems? id-vs.

RecGPT: A Foundation Model for Sequential Recommendation Where to go next for recommender systems? id-vs

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.856378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.297501Z digest=sha256:3798ea3815c8c9cd09c7955327e1cd1dd06fb6f49bf8531e844baa9eccd2bb34

Observation e055ab28-7f3d-4028-8639-5fe79554816e · outbound

This paper cites Recommendation as language processing (rlp): A unified pretrain, personalized prompt & predict paradigm (p5).

RecGPT: A Foundation Model for Sequential Recommendation Recommendation as language processing (rlp): A unified pretrain, personalized prompt & predict paradigm (p5)

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.839466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.301845Z digest=sha256:1c6a0ae3c671913bfa04fcefd4b733590091b2d0ce7eacc80310ac88ff94b406

Observation aebff61d-5228-459f-a13c-7e8cabc9c76a · outbound

This paper cites Recommendation as instruction following: A large language model empowered recommendation approach.

RecGPT: A Foundation Model for Sequential Recommendation Recommendation as instruction following: A large language model empowered recommendation approach

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.823689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.306387Z digest=sha256:72fa82cb7c51ef03bc22196d6663963debbbb43f65ea88f8608c535dfa3ccc9e

Observation 0fb02b81-d9c9-404f-bddd-19517ecbbdfc · outbound

This paper cites Neural discrete representation learning.

RecGPT: A Foundation Model for Sequential Recommendation Neural discrete representation learning

Reference 32

Resolution
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no resolver link, observed 2026-08-07T06:01:36.310925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:01:36.310925Z digest=sha256:6c197f12d1889583068456cbc039c96dc34cc852f8c96fd8c26395e343dcdb5d

Observation 4bdb6341-2e91-486b-9c37-29e90b0ad4ea · outbound

This paper cites Language models are unsupervised multitask learners.

RecGPT: A Foundation Model for Sequential Recommendation Language models are unsupervised multitask learners

Reference 33

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no resolver link, observed 2026-08-07T06:01:36.315474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:01:36.315474Z digest=sha256:20729bc060ed9ab34410b8376511e29b7a7a2d57f0c3bc40d46325a69715dc41

Observation ab1041a9-05df-41bf-87de-48d0e3a57b34 · outbound

This paper cites Generative sequential recommendation with gptrec.

RecGPT: A Foundation Model for Sequential Recommendation Generative sequential recommendation with gptrec

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.787394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.319723Z digest=sha256:da1ff782cb609828b457c7ecaffa6cfee1411147a3f835c7cba677ae5306a538

Observation e80b827d-fef4-469d-8818-4fd657e69d67 · outbound

This paper cites Content-Based Collaborative Generation for Recommender Systems.

RecGPT: A Foundation Model for Sequential Recommendation Content-Based Collaborative Generation for Recommender Systems

Reference 35

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no resolver link, observed 2026-08-07T06:01:36.324654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:01:36.324654Z digest=sha256:a6ba6550388adb3e47d41e207b4c4596ec044cabdb669dee2c456dd044641125

Observation b608362d-4892-4d18-afd3-a65230ca8577 · outbound

This paper cites Cost: Contrastive quantization based semantic tokenization for generative recommendation.

RecGPT: A Foundation Model for Sequential Recommendation Cost: Contrastive quantization based semantic tokenization for generative recommendation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.771613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.330195Z digest=sha256:7af2040faa7412dbc77a73691f73aece5775ff87a73cd1f7d3c035484cfb904e

Observation 8340bbdc-4fd6-41bb-9812-917d9c135834 · outbound

This paper cites Learnable tokenizer for llm-based generative recommendation.

RecGPT: A Foundation Model for Sequential Recommendation Learnable tokenizer for llm-based generative recommendation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.754723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.334803Z digest=sha256:a2c413257064b110e81164d81503395389485e7c4c09e73eb7c100543309b2a9

Observation ae1ea2c0-07e7-4e3c-bcec-a77ba15e9a35 · outbound

This paper cites End-to-end learnable item tokenization for generative recommendation.

RecGPT: A Foundation Model for Sequential Recommendation End-to-end learnable item tokenization for generative recommendation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.738299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.339223Z digest=sha256:633576a78bbd53c2b9e318c8d1d3a2b24c539afcbef3caa6df972666b8176e85

Observation 86bf2700-c901-4bf9-830a-16a0f928a1a4 · outbound

This paper cites Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders.

RecGPT: A Foundation Model for Sequential Recommendation Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T06:01:36.344118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:01:36.344118Z digest=sha256:60cb63a047a1637165c08456e9f79d0bcde0676cd34c0afbb519a113b9ccc77b

Observation 059607cc-f45a-4462-830a-f758771ab2cc · outbound

This paper cites Uctopic: Unsupervised contrastive learning for phrase representations and topic mining.

RecGPT: A Foundation Model for Sequential Recommendation Uctopic: Unsupervised contrastive learning for phrase representations and topic mining

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.721272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.349322Z digest=sha256:8c7580e658ed373e6c3e353b5ee0305c19bcebf228ea47c5c40353cf50a4daa1

Observation 76251411-435c-447a-ae03-82003b9b102e · outbound

This paper cites Personalized show- cases: Generating multi-modal explanations for recommendations.

RecGPT: A Foundation Model for Sequential Recommendation Personalized show- cases: Generating multi-modal explanations for recommendations

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.705633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.353880Z digest=sha256:a07c8d9e7a8f11d5fe7aee8227ec084a5a3744916dd2dfe7f40fade9d907660a

Observation 7a04c2d4-70b8-48de-83e5-4efc1ff6b740 · outbound

This paper cites Improved recurrent neural networks for session- based recommendations.

RecGPT: A Foundation Model for Sequential Recommendation Improved recurrent neural networks for session- based recommendations

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.689955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.358968Z digest=sha256:b046fec7d79fcca9583a8941d574365d91df7f7410c1ddf916adf2a6ac948f27

Observation e6460529-8418-4139-9b36-d7918b9664f6 · outbound

This paper cites Parallel recurrent neural network architectures for feature-rich session-based recommendations.

RecGPT: A Foundation Model for Sequential Recommendation Parallel recurrent neural network architectures for feature-rich session-based recommendations

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.674035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.363835Z digest=sha256:74a5447055ab5a3cb66f731d2e805ac2bb0c075262bf2f740eada88a7317e5f5

Observation f004aff4-bdc5-4c27-a718-f2d83e0c2d58 · outbound

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

RecGPT: A Foundation Model for Sequential Recommendation Personalized top-n sequential recommendation via convolutional sequence embedding

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.654749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.369135Z digest=sha256:752334fc554230a5bdcb89c9929aa0c9277d610006c8cd6abebdc08b5d644cda

Observation 011fd29e-732b-4762-9af7-81e9a505372f · outbound

This paper cites Feature-level deeper self-attention network for sequential recommendation.

RecGPT: A Foundation Model for Sequential Recommendation Feature-level deeper self-attention network for sequential recommendation

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T06:01:36.373967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:01:36.373967Z digest=sha256:290b5d7676ab0159179aa64a367406e7adc17fd4ebcf3e4275df91610a83eba2

Observation 1d43e26f-6a52-48c1-99c9-51b677e291fa · outbound

This paper cites Contrastive learning for sequential recommendation.

RecGPT: A Foundation Model for Sequential Recommendation Contrastive learning for sequential recommendation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.626800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.378773Z digest=sha256:e99167b89516d67d85df77f0a96637ecdec3c7863bf52de3881621b5dd0c46a5

Observation 4fe889d8-a72a-483c-a8a9-10a5f88ae34e · outbound

This paper cites Intent contrastive learning for sequential recommendation.

RecGPT: A Foundation Model for Sequential Recommendation Intent contrastive learning for sequential recommendation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.611275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.383354Z digest=sha256:04f5aa2f34a3360f07326e8aa269fc4a5e21f9c8cf4d2dcdc3b78e8c5f085513

Observation 69b37db9-c480-4aba-90db-b748758851ba · outbound

This paper cites Graph masked autoencoder for sequential recommendation.

RecGPT: A Foundation Model for Sequential Recommendation Graph masked autoencoder for sequential recommendation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.594128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.387933Z digest=sha256:ef266932ec952eaf4a1488f850cc845a90b7236598066073f0cb2678ba2c630e

Observation 499bff45-e3f4-46ba-8d46-8d49402f8beb · outbound

This paper cites Recbole: Towards a unified, comprehensive and efficient framework for recommendation algorithms.

RecGPT: A Foundation Model for Sequential Recommendation Recbole: Towards a unified, comprehensive and efficient framework for recommendation algorithms

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:01:36.577911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.392806Z digest=sha256:7aae8501acd7b847235d17ee18f3580bccc3742489999a045d6e5092f81c2391

Observation acf9c80a-6cce-43fa-be35-3347788ee141 · outbound

This paper cites Sslrec: A self-supervised learning framework for recommendation.

RecGPT: A Foundation Model for Sequential Recommendation Sslrec: A self-supervised learning framework for recommendation

Reference 50

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T06:01:36.560562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T06:01:36.398065Z digest=sha256:87601a1d580302ea57cc7bc9ef69d19055e1180086f57bc0b59647f2e7741c65

Pith citing papers

No inbound Pith citation observations are available.