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Paper Citation Record · LEDGER

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models

As of 12 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2412.16933.

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

pith.paper-citation-record.v1
2412.16933 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T06:02:36.660613Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T02:42:12.026696Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T18:05:58.505043Z

Reference resolution

46 of 46 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved43
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6a2f78fd-d56f-4e32-a18a-041bc424a65b · outbound

This paper cites an unresolved cited work.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.163518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.163518Z digest=sha256:0223397c23cbc8c2560871f388af5539c6ab5bea8e1ea934de7bc5246d0ae513

Observation 9f851ed1-15d4-4802-a0c0-b0e407a3f8f1 · outbound

This paper cites Language Models are Few-Shot Learners.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Language Models are Few-Shot Learners

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.171294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.171294Z digest=sha256:68ac4557ac323bed7aa2bc1fe18df38d85ce179b37cbf0adf525da0fbb757285

Observation b4cab06a-dd1f-4bbd-a078-f0e9156523bc · outbound

This paper cites an unresolved cited work.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Unresolved cited work

Reference 3

Resolution
metadata mismatch
raw_fallback, observed 2026-08-11T06:02:38.567383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T06:02:36.179006Z digest=sha256:7e736fa88a7cfa7012628d3d47d73cd4c4e4c7a21a51f822da51b2bef5bdb0b7

Observation 86745add-b71d-431e-ae46-ce44f3ccb515 · outbound

This paper cites an unresolved cited work.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.194891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.194891Z digest=sha256:c8233bd653570fcb28f3be225b343385275d8c113ecf98049d0f268f162b003a

Observation d36b8368-3812-4224-bba7-df68062cefac · outbound

This paper cites M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.204840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.204840Z digest=sha256:fdb40872b25d9603eafac3d4a92b4889da4ea408ddd57e23f40a56b37cd89c0c

Observation d8b7567a-4a5f-4a3d-9645-390489dc2fe0 · outbound

This paper cites an unresolved cited work.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.212939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.212939Z digest=sha256:35d174a5c4c25daf4ddc9ab63c4889c2216f64b0a0dc200166e838ccc7847e8d

Observation 08f783a2-05b7-4937-bb84-e1518450bea5 · outbound

This paper cites Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.224751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.224751Z digest=sha256:d32895950c5d57a6897cf0a761c09277592fb4dd168a8f98c01dca5408d96579

Observation 4ee589bf-2fbb-403a-b90e-020248c50be5 · outbound

This paper cites an unresolved cited work.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.235663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.235663Z digest=sha256:77e0204cdb9839cd5d0448da64dffccd23e2368821ea188bc78931c913efa88e

Observation 529a185a-7b74-4d93-a1cc-4f2246c23c99 · outbound

This paper cites Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5).

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.252240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.252240Z digest=sha256:4681837fbaf78974ba2052cd208dbcff11a2255a2d907fd2b9449e72165dd863

Observation 8e9e52fa-79b7-40ea-af95-92bb75b50e82 · outbound

This paper cites an unresolved cited work.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-11T06:02:39.127789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T06:02:36.265587Z digest=sha256:eb144ef5b49b73ef728bb7b666539cfbf21d8c9e2fcb56b90af505ffb6040a26

Observation d3b2338a-c7ef-45c4-b836-8f92254bbb30 · outbound

This paper cites Maxwell Harper, Joseph A.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Maxwell Harper, Joseph A

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:02:39.065873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T06:02:36.279105Z digest=sha256:d0d7d62166e651760b0039fd33db14997d09bdbf746defa7a98185413f010a34

Observation 3c541a7b-69c3-44ba-b194-ff8b5b772a3a · outbound

This paper cites AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.288953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.288953Z digest=sha256:ff546e31c5de3fd869f86050c936c9b07ebb7acbe9c720f253b30b5f145be827

Observation a734525e-359a-4c25-a74d-a1bca5299189 · outbound

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

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Session-based Recommendations with Recurrent Neural Networks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.308394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.308394Z digest=sha256:7bbc02ed4ef534b67359031423e6fc44cb067a17c9ca4b3527da6dbac76819da

Observation eef1c7f9-8e0c-4a7e-b5e6-ff2b6255ffd5 · outbound

This paper cites Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.317353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.317353Z digest=sha256:d8d9af77888944b5c97fa78ebb7abbbe594dd054101b20e6fae8eaaf6033cbea

Observation 6f8b7cd8-0693-4fde-b63f-ef6037677f65 · outbound

This paper cites Large Language Models are Zero-Shot Rankers for Recommender Systems.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Large Language Models are Zero-Shot Rankers for Recommender Systems

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.328711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.328711Z digest=sha256:1cadbbafb81737d9eb8b2b5513374556eb725f8b908e60beb370bf8587e81abd

Observation 070514e9-d9f2-417f-b7e3-4374a14ad0dc · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.336820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.336820Z digest=sha256:34fd1054fb735738f74043e5797a992e9a49a52a16906b4d029677bb320e1be5

Observation 05a216e2-ec98-42bc-a79e-458c95e1379c · outbound

This paper cites LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.351393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.351393Z digest=sha256:12dd3d851f7ba13f31982649f3cdde20de04769fe8c15b7c121c0c878f08ea25

Observation 6b3ca1e0-2b27-4fae-9722-25ed4384d57c · outbound

This paper cites an unresolved cited work.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.359974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.359974Z digest=sha256:3855da2eb8dccec1b7b4d8ddcb95223a396642bbe2ce059df3a0b565c95387b5

Observation ee022651-33b4-42c5-bb2d-65af4a3b8fe4 · outbound

This paper cites Self-Attentive Sequential Recommendation.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Self-Attentive Sequential Recommendation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.369301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.369301Z digest=sha256:4374ea7f80bf8f9102129d0e6ed03920b386dbbbc3a48e76ff229854759c8e05

Observation 9fea7e2e-6780-424c-867e-2490ec416253 · outbound

This paper cites an unresolved cited work.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-11T06:02:39.024878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T06:02:36.379073Z digest=sha256:99d8fbea1e0c500bd16abcad49d51be317ce03aa7c0430ea13397ed0d32e8093

Observation 3d855e47-b0f2-4ce6-b97d-4979a26db2a3 · outbound

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

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Text Is All You Need: Learning Language Representations for Sequential Recommendation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.388329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.388329Z digest=sha256:353d24c5d18b8706e0e6b81b3087bd394ff28c1ca5ae00a3dc8c934ce4139786

Observation 690abc8e-ee1a-4baa-a0a9-bd49f0976e25 · outbound

This paper cites an unresolved cited work.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Unresolved cited work

Reference 23

Resolution
verified exact
doi, observed 2026-08-11T06:02:36.776954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T06:02:36.409801Z digest=sha256:425681ab79ac0d75df8a9ff32ad104a76c7a7388a10a335b3bb87424c8c59b14

Observation 73f4d756-314f-476e-995e-2d0efc279c44 · outbound

This paper cites an unresolved cited work.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.421952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.421952Z digest=sha256:6032be9c8e5f82045a7c7c2057bd00880cdb0c4a6bf596eecddb145111a388cc

Observation 15092b1c-ae80-4813-9af2-9573e195e71c · outbound

This paper cites LLaRA: Large Language-Recommendation Assistant.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models LLaRA: Large Language-Recommendation Assistant

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.435475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.435475Z digest=sha256:26b02de1f70a83182c763fee643eaa7cba4b58c9117993ec16c9155032435019

Observation 207e1677-07c8-4247-b1ee-2cb654e6db3a · outbound

This paper cites Is ChatGPT a Good Recommender? A Preliminary Study.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Is ChatGPT a Good Recommender? A Preliminary Study

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.447072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.447072Z digest=sha256:522d031e7c618cfbbc808db130209e573c56f24163534460046bc7f3737c2a0e

Observation 042bfc43-becb-4d38-8721-26fadcc05558 · outbound

This paper cites Augmented Large Language Models with Parametric Knowledge Guiding.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Augmented Large Language Models with Parametric Knowledge Guiding

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.457254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.457254Z digest=sha256:c2d87c02361db673f35e054be46c4f71fdce53989b1cb93d528b1142b197d909

Observation 6ba1ace2-7f62-4a33-82e8-66bc5957af9c · outbound

This paper cites Fairness-guided Few-shot Prompting for Large Language Models.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Fairness-guided Few-shot Prompting for Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.467984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.467984Z digest=sha256:265009e0a8d8df5ed099d34f653d27bfc8fd10920e03f1489e755acf2c748f94

Observation d2d744f4-f1cd-469c-9b8a-52b3e9899e08 · outbound

This paper cites GPT-4 Technical Report.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models GPT-4 Technical Report

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.476042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.476042Z digest=sha256:d53d609549b9fea6e430e957c64473b4c9c72571ac19c42eceaa5d7737bd684c

Observation 97af76fc-8a18-4e1a-83eb-d04d8506fed9 · outbound

This paper cites an unresolved cited work.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.495922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.495922Z digest=sha256:8c3b0c828d508d75299adbb40fb30ad9d1d06654cc3316a27f6ff7dbb0086615

Observation fc0e270d-7a43-42d9-9d98-ad0f3965dc17 · outbound

This paper cites Self-Supervised Multi-Modal Sequential Recommendation.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Self-Supervised Multi-Modal Sequential Recommendation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.512123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.512123Z digest=sha256:276c4ae8837124bf29acd48ad8dc1a8a5318591944a65df78cfacaf2fa711a24

Observation 75c87cea-96ab-4136-876f-8dc90e27f2bb · outbound

This paper cites Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.520764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.520764Z digest=sha256:75223e431f0c381219344778def15765f6c985c0399601f32c1b49fb3b70b4ff

Observation 46ba1b63-4378-4ab2-ade3-c458838dcbbd · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.530690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.530690Z digest=sha256:02456c4629f29cbfd48ac1919638dd1d4f6f13083382fe29870a378bc39c2917

Observation 60809276-6e14-4eeb-bd81-c87567fa669a · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Representation Learning with Contrastive Predictive Coding

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.536576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.536576Z digest=sha256:5e1a3e2e65e3839a63e5b4254e6f86ecdd0e4ab7992ddf98e3bba167e9645da6

Observation 02f034b5-3986-4205-a220-f198223366ec · outbound

This paper cites Sequential Recommender Systems: Challenges, Progress and Prospects.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Sequential Recommender Systems: Challenges, Progress and Prospects

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.544059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.544059Z digest=sha256:cd0df9a314b15c9f2ae11a0e014b18e0911ab8fb4460f75cf48d92548a5b73cc

Observation 069c9be4-86c8-44f9-886f-ac67bcec4538 · outbound

This paper cites an unresolved cited work.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-11T06:02:38.917183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T06:02:36.550802Z digest=sha256:c1ed13b8e208845e41d93dff4299822e38ad57209c4b29bca8b32c3aecb3d8cd

Observation 20b926c8-7e6d-4480-933e-b253289407d8 · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models BloombergGPT: A Large Language Model for Finance

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.558385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.558385Z digest=sha256:ddb5483e1d18cb2b37e6bdf9547e2045156c48d367eccdd4f7e021f6c1483174

Observation a7ca62cc-a269-47e4-8e68-b32bbd471b11 · outbound

This paper cites WizardLM: Empowering large pre-trained language models to follow complex instructions.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models WizardLM: Empowering large pre-trained language models to follow complex instructions

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.569305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 962d985e-63f0-4e14-818d-48f2ad997ce9 · outbound

This paper cites Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited

Reference 39

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 890229ed-f77e-45a9-ab3e-ce05a19c2d77 · outbound

This paper cites On Generative Agents in Recommendation.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models On Generative Agents in Recommendation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.591496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 392e3b9d-7ceb-44e5-a1e6-7b34823f3816 · outbound

This paper cites A Survey of Large Language Models.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models A Survey of Large Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.597557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 086db8ed-25c2-445c-b8e6-5cc671162e37 · outbound

This paper cites an unresolved cited work.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-11T06:02:38.884804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 389fd35c-bac6-43eb-afd6-da6392a860df · outbound

This paper cites an unresolved cited work.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-11T06:02:38.860177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e35c9e28-f93d-475c-9dce-74a265a2aee7 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.627340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.627340Z digest=sha256:7fefadb2e187dbde32aede8021c670a6a0c1724a001b1a15a3d577c3f83a6c63

Observation f3655da8-5b0e-4f8e-96ec-a16a6d01afb0 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 45

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 21b7f414-54f9-431c-838f-6b1ef37b9075 · outbound

This paper cites online" 'onlinestring :=.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models online" 'onlinestring :=

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.647533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.647533Z digest=sha256:23d483cbb1bcdff99f5a892e65d8cbc37959e65cea82d43bbbf72c5f805f9f6e

Observation 45a4f42c-55ec-4352-bf55-019f5f8c6884 · outbound

This paper cites write newline.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models write newline

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.660613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.660613Z digest=sha256:28b99b713770045f692e60dc97892978943b6c1dafde1230a6970106d5e410c3

Pith citing papers

Observation 4bbd29ed-e615-4ed5-bb4e-f1d008d7d326 · inbound

An LLM-Powered Semantic Alignment Framework for Journal Recommendation cites this paper.

An LLM-Powered Semantic Alignment Framework for Journal Recommendation Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-07-01T18:05:58.506396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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