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Paper Citation Record · LEDGER

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language

As of 23 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.27682.

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

pith.paper-citation-record.v1
2607.27682 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:29:25.238486Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

40 of 40 outbound references displayed

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Outbound references

Observation 6b922980-31a8-4a1e-ae6f-3aadbe4ed71e · outbound

This paper cites Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education

Reference 1

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Observation 4770f1d2-23fe-4450-83ad-ba3ef2e9676e · outbound

This paper cites Classification Problem Solving.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language Classification Problem Solving

Reference 2

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Observation 64ceb8e2-289c-4721-914f-fbb5c288a1e3 · outbound

This paper cites , title =.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language , title =

Reference 3

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Observation 6eb68921-5bc1-452d-9800-2b52c86f3a1a · outbound

This paper cites New Ways to Make Microcircuits Smaller---Duplicate Entry.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language New Ways to Make Microcircuits Smaller---Duplicate Entry

Reference 4

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source=arxiv_source observed=2026-08-01T03:29:25.149073Z digest=sha256:31846e28739db400f5e864558bd0f890f2ad7dd1c350751e8e50ae2a0efe9548

Observation aebe08b4-07bb-4ad2-a8c5-6bfba2ee7cee · outbound

This paper cites Clancey and Glenn Rennels , abstract =.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language Clancey and Glenn Rennels , abstract =

Reference 5

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source=arxiv_source observed=2026-08-01T03:29:25.151722Z digest=sha256:04f6ae0a4850bec844dcb5475bff7d9df2fedfd1b1d6d5fa98b30276b80eecdd

Observation 5d1fbee5-e709-4b4c-bac7-19ad1f103dd0 · outbound

This paper cites and Rennels, Glenn R.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language and Rennels, Glenn R

Reference 6

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Observation 375eb4b2-bc24-4a0c-8564-3bc2708473bd · outbound

This paper cites Poligon: A System for Parallel Problem Solving.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language Poligon: A System for Parallel Problem Solving

Reference 7

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Observation a13fcbe7-5268-4501-b379-651c72fd5ec4 · outbound

This paper cites Transfer of Rule-Based Expertise through a Tutorial Dialogue.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language Transfer of Rule-Based Expertise through a Tutorial Dialogue

Reference 8

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Observation 7fca17a8-eb5a-469d-8d33-2c2008ad6764 · outbound

This paper cites The Engineering of Qualitative Models.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language The Engineering of Qualitative Models

Reference 9

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Observation 416f2889-2d08-444b-817c-ffc3f4c87955 · outbound

This paper cites 2023 , eprint=.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language 2023 , eprint=

Reference 10

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Observation 70b6485b-787c-4ebb-9769-374448a5a6be · outbound

This paper cites Pluto: The 'Other' Red Planet.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language Pluto: The 'Other' Red Planet

Reference 11

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Observation 6ba41bef-4595-49ef-81f7-e22f83ac5032 · outbound

This paper cites and Vu, Trung and Heldt, Lukasz and Hong, Lichan and Tay, Yi and Tran, Vinh Q.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language and Vu, Trung and Heldt, Lukasz and Hong, Lichan and Tay, Yi and Tran, Vinh Q

Reference 12

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Observation fe9f0df2-2c7f-409c-9bc2-c82b55daa41c · outbound

This paper cites OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment

Reference 13

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source=arxiv_source observed=2026-08-01T03:29:25.172407Z digest=sha256:10c9fadc6dc03fb1d4eb43b067d7ffe406583f70bde9257cd4662b28027aa2ca

Observation 2e118dcd-cd36-4835-9aef-4dd32acecd1f · outbound

This paper cites Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation

Reference 14

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Observation a2db75e5-c2f1-4137-af07-dae37b0d8319 · outbound

This paper cites Learnable Item Tokenization for Generative Recommendation.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language Learnable Item Tokenization for Generative Recommendation

Reference 15

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source=arxiv_source observed=2026-08-01T03:29:25.177702Z digest=sha256:d915c34f9af055f56ab4e771dc16d086d052e4626e9787251ce294d6c468fc64

Observation f2c7c44b-fb2c-441c-83b2-3e177cde1c82 · outbound

This paper cites DiscRec: Disentangled Semantic-Collaborative Modeling for Generative Recommendation.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language DiscRec: Disentangled Semantic-Collaborative Modeling for Generative Recommendation

Reference 16

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Observation 04e71cd1-574b-4ec5-bdd5-a8b8dc2c2ec1 · outbound

This paper cites Implicit Reasoning for Large Language Model-based Generative Recommendation.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language Implicit Reasoning for Large Language Model-based Generative Recommendation

Reference 17

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Observation b85177cf-ce51-4894-8f9f-1e70167f836a · outbound

This paper cites OneRec-Think : In-Text Reasoning for Generative Recommendation.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language OneRec-Think : In-Text Reasoning for Generative Recommendation

Reference 18

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Observation a6cbe8d5-ed00-4457-8b81-412a132e39d7 · outbound

This paper cites OneReason Technical Report.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language OneReason Technical Report

Reference 19

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Observation c810fb17-a28e-40f7-82c7-1c5e159dd967 · outbound

This paper cites and Blei, David M.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language and Blei, David M

Reference 20

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Observation ef510294-a4ad-425e-821b-cdfcb4a4366f · outbound

This paper cites Rethinking LLM -Based Recommendations: A Personalized Query-Driven Parallel Integration.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language Rethinking LLM -Based Recommendations: A Personalized Query-Driven Parallel Integration

Reference 21

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Observation b721fd25-5ec3-47c4-be3d-66c872a8ffd8 · outbound

This paper cites Language Representations Can be What Recommenders Need: Findings and Potentials.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language Language Representations Can be What Recommenders Need: Findings and Potentials

Reference 22

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source=arxiv_source observed=2026-08-01T03:29:25.195380Z digest=sha256:debfd03ac67cfad096cfca2d0940cd51ab025050348b5861bb956e31652647dd

Observation db29bbaf-9aea-4876-b5c6-d2087efade08 · outbound

This paper cites Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting

Reference 23

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source=arxiv_source observed=2026-08-01T03:29:25.197771Z digest=sha256:123afe607b7f95eb48e07ab3406f614f808002aeaef7087937e284d2c9ae2441

Observation addc3de6-ea68-4c0e-bd22-65d4128588e1 · outbound

This paper cites OpenOneRec Technical Report.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language OpenOneRec Technical Report

Reference 24

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Observation b352e016-957e-4624-82ce-d5ce4b7ac380 · outbound

This paper cites Self-Attentive Sequential Recommendation.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language Self-Attentive Sequential Recommendation

Reference 25

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Observation ad50f548-c00c-4892-b917-c1aff751f4bb · outbound

This paper cites BERT4Rec : Sequential Recommendation with Bidirectional Encoder Representations from Transformer.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language BERT4Rec : Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Reference 26

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Observation ea0d4dce-0075-40ee-99d2-b87f5306766d · outbound

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

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language Session-based Recommendations with Recurrent Neural Networks

Reference 27

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Observation ef6a04a9-b3b3-4bc3-8b07-7f2698087f72 · outbound

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

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language BPR : Bayesian Personalized Ranking from Implicit Feedback

Reference 28

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Observation cbf41264-0dc9-4efc-908a-4713415cb1db · outbound

This paper cites and Volinsky, Chris.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language and Volinsky, Chris

Reference 29

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Observation 6f8e7f92-8bd7-48a3-a62e-9869e9d6fcb2 · outbound

This paper cites Neural Collaborative Filtering.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language Neural Collaborative Filtering

Reference 30

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Observation 0ed96577-139a-45a5-8c12-77c213c3167c · outbound

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

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language Recommendation as Language Processing ( RLP ): A Unified Pretrain, Personalized Prompt & Predict Paradigm ( P5 )

Reference 31

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source=arxiv_source observed=2026-08-01T03:29:25.217060Z digest=sha256:1d098e30a0784eaf4cf844581d2f91447b72a2d38728e982b654acb8c1f60892

Observation 4347948e-4579-4c47-876a-4c882ed6ab93 · outbound

This paper cites TALLRec : An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language TALLRec : An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

Reference 32

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source=arxiv_source observed=2026-08-01T03:29:25.219616Z digest=sha256:8968a8fbf7f5cd12b522b18bf50dcb6a7d4569430e53ac8a4a3200598007e17b

Observation b622eb37-d5de-41cf-bc3a-9acc012ad16d · outbound

This paper cites LLaRA : Large Language-Recommendation Assistant.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language LLaRA : Large Language-Recommendation Assistant

Reference 33

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source=arxiv_source observed=2026-08-01T03:29:25.221967Z digest=sha256:3f6f3167e939d5c8d5b226ac8ac650fa4cffb0cd886a63573337ffdfef96931c

Observation 481a07a0-fd50-4770-8686-bf0dcc7397df · outbound

This paper cites CoLLM : Integrating Collaborative Embeddings Into Large Language Models for Recommendation.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language CoLLM : Integrating Collaborative Embeddings Into Large Language Models for Recommendation

Reference 34

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source=arxiv_source observed=2026-08-01T03:29:25.224439Z digest=sha256:46ad86280316c43047f74a2c07804c205a6698ea20e358d5c0ba55efb33abcda

Observation 72ac07a9-9eff-43e2-9b16-11ca3c5780e8 · outbound

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

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language Text Is All You Need: Learning Language Representations for Sequential Recommendation

Reference 35

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source=arxiv_source observed=2026-08-01T03:29:25.226745Z digest=sha256:66d1971e3284fc767159f8ebfcd7f6cfe5304046f89bae1616d0513c98acf88e

Observation 17a4534d-27aa-4145-b092-3492adefbba9 · outbound

This paper cites A Survey on Large Language Models for Recommendation.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language A Survey on Large Language Models for Recommendation

Reference 36

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source=arxiv_source observed=2026-08-01T03:29:25.229158Z digest=sha256:e8227edcb6c820f40c2ac0cd7e0ea8f4a31393b060d80ef7e75381a841837f42

Observation 350d1e64-0e1b-4116-944c-f589c5742420 · outbound

This paper cites Autoregressive Image Generation using Residual Quantization.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language Autoregressive Image Generation using Residual Quantization

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:29:25.231596Z digest=sha256:5a46bf93f4c7f99799f3727924287440760639cda49bc72237f8d224e6f5a43d

Observation 0d626ef4-2aff-4fce-b8d5-a41230350a16 · outbound

This paper cites and Sathiamoorthy, Maheswaran and Zheng, Yilin and Hong, Lichan and Heldt, Lukasz and Wei, Li and Tandon, Devansh and Chi, Ed H.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language and Sathiamoorthy, Maheswaran and Zheng, Yilin and Hong, Lichan and Heldt, Lukasz and Wei, Li and Tandon, Devansh and Chi, Ed H

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T03:29:25.233911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:29:25.233911Z digest=sha256:394867af970dacfe882993ec77904dd4781562de1b28c88ccd00a419e6ca1795

Observation 6e5360fe-f952-44c3-b1ff-2e044f410bfa · outbound

This paper cites and Le, Quoc V.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language and Le, Quoc V

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-01T03:29:25.236232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:29:25.236232Z digest=sha256:5d57c902418aff9679c870856db45ca60a2a7d5edd227716278eaea494e754f8

Observation e9352cee-fb6f-421f-bc8f-e55f16a5c908 · outbound

This paper cites and Chi, Ed H.

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language and Chi, Ed H

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-01T03:29:25.238486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:29:25.238486Z digest=sha256:32634aa196993ef54e0e7b25d433dfc3daeb6a717654a39adfb110477d31e68e

Pith citing papers

No inbound Pith citation observations are available.