Paper Citation Record · LEDGER

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation

As of 11 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2506.23643.

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

pith.paper-citation-record.v1
2506.23643 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:40:51.534976Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

verified exact0
verified fuzzy12
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bbffe89f-57da-4e5c-829d-a454a4c557b8 · outbound

This paper cites GPT-4 Technical Report.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:47.846561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0da34390-60b2-47e2-8d3b-f592cc51fff4 · outbound

This paper cites A neural probabilistic language model.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation A neural probabilistic language model

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:47.921383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee02c973-5895-4f22-86d0-464b6f581a38 · outbound

This paper cites N-gram-based text categorization.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation N-gram-based text categorization

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:40:53.634449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 895ae66a-4119-4e93-9e37-eade26c1b926 · outbound

This paper cites Similarity estimation techniques from rounding algorithms.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Similarity estimation techniques from rounding algorithms

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:40:53.502913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c297cfb4-f2b0-4ecc-91df-2dc7fee1cf47 · outbound

This paper cites An Empirical Study on Eliciting and Improving R1-like Reasoning Models.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:48.214783Z

Source-reported events for the cited work

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Observation 1838d424-42d7-49ab-a501-cdacd2965807 · outbound

This paper cites Recommendation with Generative Models.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Recommendation with Generative Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:48.332159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2956b470-acd1-4589-bf8c-b627e48eb8a8 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:48.444780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0714cf1b-3be5-409d-ba2a-a0bf949670b8 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:48.517893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91eac18c-6223-4025-b4de-3d4bf4612bb8 · outbound

This paper cites ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:48.618331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4030f64f-7160-4ac3-89ed-5a8b096111e6 · outbound

This paper cites Approximate nearest neighbors: towards removing the curse of dimensionality.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Approximate nearest neighbors: towards removing the curse of dimensionality

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:40:53.363850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 988127b2-f875-4068-8ece-ce3922132cb4 · outbound

This paper cites Locality-preserving hashing in multidimensional spaces.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Locality-preserving hashing in multidimensional spaces

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:40:53.237238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 76d6061c-6826-40ef-9b90-9eb67c08a2f0 · outbound

This paper cites OpenAI o1 System Card.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation OpenAI o1 System Card

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:48.829118Z

Source-reported events for the cited work

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Observation 8c4d0060-1d3c-4b6c-99ff-bbddc53b5b78 · outbound

This paper cites Self-attentive sequential recommendation.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Self-attentive sequential recommendation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:40:53.089332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a023604c-a68f-43dd-a37c-56e171292059 · outbound

This paper cites Matrix factorization techniques for recom- mender systems.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Matrix factorization techniques for recom- mender systems

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:48.988258Z

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Unavailable: canonical work link unavailable.

Observation 07fb3bbe-af13-4dc8-bb14-2a13e982f9a4 · outbound

This paper cites BERT: A Review of Applications in Natural Language Processing and Understanding.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation BERT: A Review of Applications in Natural Language Processing and Understanding

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:49.037381Z

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Unavailable: canonical work link unavailable.

Observation bf711133-dbc0-4b14-836d-5979dc671b3f · outbound

This paper cites Controlar: Controllable image generation with autoregressive models.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Controlar: Controllable image generation with autoregressive models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:49.102944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58fd5264-c012-4a15-8e8c-d8ac384fdea1 · outbound

This paper cites DeepSeek-V3 Technical Report.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation DeepSeek-V3 Technical Report

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:49.166128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9ee28b9-ae44-4c0a-8fdd-951bd62a5bbf · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:49.283852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0afa7785-ac23-4490-984d-a66b01bdd476 · outbound

This paper cites Hierarchical gating networks for sequential recommen- dation.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Hierarchical gating networks for sequential recommen- dation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:40:52.960236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7ac9f67b-3e4c-473a-9897-7c7231b681be · outbound

This paper cites Image-based recommendations on styles and substitutes.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Image-based recommendations on styles and substitutes

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:49.441482Z

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Unavailable: canonical work link unavailable.

Observation 505656ae-9760-47a3-9ef2-480de12769b5 · outbound

This paper cites Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:49.544879Z

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Unavailable: canonical work link unavailable.

Observation f9dfd3c0-741b-40fa-96d4-7c6a7529dccb · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:49.625599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb9814f4-7ce9-4f78-9660-f7c7346ff6b9 · outbound

This paper cites Recommender systems with generative retrieval.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Recommender systems with generative retrieval

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:49.804283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cead9914-f977-4d54-b431-1f17d33ab370 · outbound

This paper cites Better generalization with semantic ids: A case study in ranking for recommendations.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Better generalization with semantic ids: A case study in ranking for recommendations

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:40:52.767083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9ff15766-ec21-4b45-be68-66b6dddc7122 · outbound

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

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:50.001235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38e959bd-9dfa-41b9-bcd8-62af2176a966 · outbound

This paper cites Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:50.149308Z

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Unavailable: canonical work link unavailable.

Observation ee6d242f-b9dc-49c3-b014-2301aa8f8bf4 · outbound

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

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Personalized top-n sequential recommendation via convolutional sequence embedding

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:40:52.620387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 68548f7f-e12d-4137-ae5e-4178e12cab56 · outbound

This paper cites Transformer memory as a differentiable search index.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Transformer memory as a differentiable search index

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:40:52.495205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ca04c92f-00ca-4571-8a72-20d716c76202 · outbound

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

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Visual autoregressive modeling: Scalable image generation via next-scale prediction

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:50.642705Z

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Unavailable: canonical work link unavailable.

Observation 579eb912-1b9d-43d0-bc94-28fa9366ed0e · outbound

This paper cites Attention is all you need.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Attention is all you need

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:50.745658Z

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Observation d73d1844-f7a9-4806-8c5d-96183e0c4e18 · outbound

This paper cites Eager: Two-stream generative recommender with behavior-semantic collaboration.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Eager: Two-stream generative recommender with behavior-semantic collaboration

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:40:52.346627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0e628c7d-adbe-4a0f-8f79-cbb836652a7c · outbound

This paper cites A neural corpus indexer for document retrieval.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation A neural corpus indexer for document retrieval

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:50.908323Z

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Unavailable: canonical work link unavailable.

Observation b9bd7818-3e0d-4e93-814f-27ad3303de41 · outbound

This paper cites Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:50.962308Z

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Unavailable: canonical work link unavailable.

Observation 8b33fc2e-c299-47c1-a62f-7a10bf0749df · outbound

This paper cites Sampling-bias-corrected neural modeling for large corpus item recommendations.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Sampling-bias-corrected neural modeling for large corpus item recommendations

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:40:52.184782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 15884a04-d31f-426a-9cce-9a7d03d3c374 · outbound

This paper cites Soundstream: An end-to-end neural audio codec.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Soundstream: An end-to-end neural audio codec

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:51.097239Z

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Unavailable: canonical work link unavailable.

Observation 6d47f5ff-1040-4b52-b70d-7abcd0c26865 · outbound

This paper cites Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:51.169737Z

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Observation 5109b47d-93ec-47cf-b289-58b950941f4a · outbound

This paper cites Slow Thinking for Sequential Recommendation.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation Slow Thinking for Sequential Recommendation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:51.262022Z

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Unavailable: canonical work link unavailable.

Observation 380d97c5-1c08-4090-bb8f-73fe103227f1 · outbound

This paper cites A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:51.366018Z

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Unavailable: canonical work link unavailable.

Observation 39f2a496-14d0-44bc-a443-8000cd463f04 · outbound

This paper cites A Survey of Large Language Models.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation A Survey of Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:51.463071Z

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Unavailable: canonical work link unavailable.

Observation fd543de1-24c5-4ed1-9706-e87a9c21d8cc · outbound

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

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation S3-rec: Self-supervised learning for sequential recommendation with mutual information maximization

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:40:52.040869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.