Pith. sign in

Paper Citation Record · LEDGER

RecGPT: A Foundation Model for Sequential Recommendation

As of 8 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 2026-08-08T06:32:00.761636+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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.161097Z digest=sha256:3fb9278b9c822120e7a787f12b9ccf44579f1030fbd8feeca450cb44af554ca5

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.166837Z digest=sha256:a9e0748aa8876e5ed2d238c1a7a6d7e12d36cc64790f7ba76c8c78dd5e2a5516

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:01:37.164840Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T06:01:36.171776Z digest=sha256:3ab7f15ca179a2cf8795d1ec214fb4b382ea6847fc578f36dbc63180f5e4c849

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.176989Z digest=sha256:000187b55a2e34c38c8c873242c7b0c8198e026d7babe81901763da4eb80f799

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.181801Z digest=sha256:0fa7906449e61e24e5681f30a2bf1458484c13118fd89d8e57e146f8887405d2

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

Resolution
unresolved
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:cc3fb8a118cf7fb22435f6c4b76b7b2bb66e900d39e36802335f363f7cf14350

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

Resolution
unresolved
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=sha256:1065feaa3c7e456ec3d91aeeab823dd05e77e4b679e792ed6cbe829a2f383148

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

Resolution
unresolved
no resolver link, observed 2026-08-07T06:01:36.196681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:01:36.196681Z digest=sha256:ccb06e0fa1c2b7778f542cae7359541b0ea509d6945600bdbcf4869f2d2d4ab3

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

Resolution
unresolved
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=sha256:0776962a08fd72ef68fc52647bf110f378e0dadfc4a1d9285dcbff74e46ba8d2

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.205798Z digest=sha256:bbab479eac5044bf38fdb074864441cb7f05a7b6f6f810a8d787cda5e4fac819

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

Resolution
unresolved
no resolver link, observed 2026-08-07T06:01:36.210435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:01:36.210435Z digest=sha256:ce817d7bfafe9482b4afa6fcb21cb0e965e2209349774f95349555f77848fbc6

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.216120Z digest=sha256:3530e21ae4c2cae14297cbb21b066f715ac3476e7f41685e4f0d22bf2d20b993

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

Resolution
unresolved
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=sha256:121fc2dfbdc0090b3b9f04ff5e04d9971b71bc20ca51967bad5bcd91d9293468

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

Resolution
unresolved
no resolver link, observed 2026-08-07T06:01:36.227465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:01:36.227465Z digest=sha256:162643f1156e32cc845ce9b1130cc5fa18111c0b3bdf67b825a0216bc59187b6

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

Resolution
unresolved
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:b33bdd3cda406a009cda2424c9c11969ed6056d218cc252ff369fa802526d56c

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

Resolution
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:d190199189c40d760f31923946299f7b6ee2c4dacc890c5061b94748a4cff843

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
unresolved
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=sha256:3987205969fd6d4d8471d7bdc1bc043730e0123000cf04e0116a39172017b2b2

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
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.246127Z digest=sha256:e51c623c71ecd8ded543c4b5ed799df46d86a5b3c5639abc33d3d73fcab9dbcf

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.250729Z digest=sha256:67cd49c7e3a9376a35371330bb8d94f2719037459f95b624c03f7d37313ee8dd

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

Resolution
unresolved
no resolver link, observed 2026-08-07T06:01:36.255269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:01:36.255269Z digest=sha256:ef6bb197dfa8096b9328dacfbb57442b5a04bb6dded3e14c0dbc169d377f3ce6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.259859Z digest=sha256:9d093cb06f5d191f2fb9d5a8b6c39c1f7fd55d3d20c54cb112658b23c9d24924

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
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.264837Z digest=sha256:06478232f3d89d92dcdf68bee1d84d40ce19b05357ba155772f847371c143d79

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.269544Z digest=sha256:bceaf2cfbfdeafb2636403588c336c19688bef915ff7e744ab0ef094b9459d2d

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.274157Z digest=sha256:499bbd03bf057e9a960248f8a193aa53ea348462798737290eed80f0dc6c76e4

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.278913Z digest=sha256:ee3a87a23fcddcc488047814e1e8024ac3ec0bd5045c66eca85f5f930afbd82d

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.283532Z digest=sha256:b015f9654901b28cb12098c4c683ad47a6abf3bd91a444b070333f5512f1c76a

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.288087Z digest=sha256:c55b89c999823dda98cdfc3bd645edb524b2b4e255386a894ba6fc3f9ac55b1e

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.292915Z digest=sha256:7c28ed4dce0e1efa4e6ecf2ce399b6a6165f1075e985f0c2b087c30aa401d655

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.297501Z digest=sha256:20d9543800cc5a7d41b9476c2900cb56329b17729cdbef31b061c1c73e90f0ef

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.301845Z digest=sha256:2fae19248821e19bc08bad38c9162a5da10f0601bfb20f4e236d7031757b1e3c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.306387Z digest=sha256:575fb06c3be09dbfd341dcefd011a5d0af18ef6ad12b7871977cf80629628435

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
unresolved
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=sha256:5a288ca127db1d6f67a465f1140dc95bbacfbb7d5d7272082c1e92e3fa63f36f

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

Resolution
unresolved
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=sha256:931846bb7df5c943db4cd73714dc15dfc8e43ac313125ec61d66fbcf5c54f486

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.319723Z digest=sha256:10fa3ac7bcaf92408f05c87ff8b9ea1c02b988158d13171b95986f2fb5ca38bb

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

Resolution
unresolved
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:d3cb5e2f9bbe3f75e10772348ebac76833c5b38afd91adf8e749632033fb813c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.330195Z digest=sha256:27fea1a81222c5536de850ca124d3a602418bc7c4fe618796110fd66832d2f92

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.334803Z digest=sha256:ed5ef1da0723d6196a39f7b004dad8bd1819433268fabae73f40f58f9ec0b4b2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.339223Z digest=sha256:c504fd05e858c7fe2fbc2b612aae9023a390bc62ed4bd63cf119fc11fc11d3c5

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=sha256:1ad266aa86bd84af9289b75e496fa3ed8a5d5355b0b66a3aba1b4b4b0ff909e6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.349322Z digest=sha256:7eb4b4f17b5af3dacfcc5d53565e734ffc03440426a39df5c970c1710c457b21

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.353880Z digest=sha256:6e408abda002dc8cb9960bb8b86c558ec4cf64099c67253d3c4915cbea08d875

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.358968Z digest=sha256:e282f40941da6d68fed2c8aedfc4ae37f1538b6fda814b3ca8efff69412a9309

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.363835Z digest=sha256:0baf82fa75e42136c861d20f2fa6b7e4ce005b21903cd2b27093cf07efe7a54d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.369135Z digest=sha256:b4aef04234323e5b46d05feabc84278ac8d9bda0c2618cef96367288713e92d0

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=sha256:63e109de3e05d6d33d1863bfaf8e549d69bb7e2da147a0205d95b02e073c2861

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.378773Z digest=sha256:d10ad7a0ac52638c625c42878ab720a777beb45e876f8631efc50931988c5819

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.383354Z digest=sha256:99581d493c334534bc2a90b063133ba7c7358896e48734abe9387d302de12447

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.387933Z digest=sha256:cb6a0d7f3903ccc77d6e8d249b7fe15ede7a29463ad89c8b1a3df650643ffbb4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.392806Z digest=sha256:86a759f3aade98ee3e0e3c1aaaf5ffc85d474f8289d6d3ccb665d16a9c48265d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:36.398065Z digest=sha256:255f734c1ffb74d584c2724b5bcd086b27f82faa6b6f8c2d4f8fb0eb320cf660

Pith citing papers

No inbound Pith citation observations are available.