Paper Citation Record · LEDGER

Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2503.22675.

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

pith.paper-citation-record.v1
2503.22675 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:30:24.688846Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2b69aacf-5500-4606-9ff1-2fb68719e1fd · inbound

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 168

Resolution: verified exact; arxiv_id, observed 2026-05-14T01:29:56.885242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f82d256f-0b1a-4d38-a1a9-b68c0fe61a1c · inbound

DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation cites this paper.

DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:18.327024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0408a954-e4f9-43e9-94ba-baf08f22a315 · inbound

LARES: Latent Reasoning for Sequential Recommendation cites this paper.

LARES: Latent Reasoning for Sequential Recommendation Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:59:19.226633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation cites this paper.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e1529c5-e1ba-4a2e-9468-867de290f88e · inbound

Bridging Search and Recommendation through Latent Cross Reasoning cites this paper.

Bridging Search and Recommendation through Latent Cross Reasoning Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T00:57:14.434415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75bf0375-711d-4cc4-973c-d21a36fe0e1b · inbound

Implicit Reasoning in Large Language Models: A Comprehensive Survey cites this paper.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:36.779144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 770e24f9-1c53-4cb7-9969-af59ac516fa5 · inbound

A Survey on Generative Recommendation: Data, Model, and Tasks cites this paper.

A Survey on Generative Recommendation: Data, Model, and Tasks Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 164

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:50:51.987388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1b33eeeb-8e7b-48ec-99da-430ead615c7e · inbound

Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking cites this paper.

Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T08:09:52.692050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f86be28-b53a-4c8e-8a52-8d46d6b36aaa · inbound

S$^2$GR: Stepwise Semantic-Guided Reasoning in Latent Space for Generative Recommendation cites this paper.

S$^2$GR: Stepwise Semantic-Guided Reasoning in Latent Space for Generative Recommendation Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:24:12.903434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 855e9cfe-08bb-424c-b8f4-ca30e22a8bec · inbound

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models cites this paper.

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:27:41.280852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8c007c1a-09f5-4076-86f6-b390a99e74d6 · inbound

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models cites this paper.

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T06:28:28.384421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c235a359-270f-4e10-a56c-bac30702f059 · inbound

Uncertainty-aware Generative Recommendation cites this paper.

Uncertainty-aware Generative Recommendation Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T00:05:10.919389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de6e8371-0b6b-4985-a8c3-22ecd04bb8a2 · inbound

Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendation cites this paper.

Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendation Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T22:31:36.086765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 555420a0-23c1-4dcd-9947-6c185515bfa1 · inbound

The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook cites this paper.

The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 202

Resolution: unresolved; no resolver link, observed 2026-07-13T14:03:01.974171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a19d0702-f10e-4f19-a3c7-25233665700e · inbound

The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook cites this paper.

The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 203

Resolution: unresolved; no resolver link, observed 2026-07-13T14:03:01.974171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca6e1087-cc47-4446-be35-d121dec9994a · inbound

SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling cites this paper.

SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:11:03.290158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ee6eec01-4d3f-4f85-8a24-bde7f53fc30e · inbound

LoopCTR: Unlocking the Loop Scaling Power for Click-Through Rate Prediction cites this paper.

LoopCTR: Unlocking the Loop Scaling Power for Click-Through Rate Prediction Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:26:04.218193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d00ee1bc-d42d-48cd-b137-ec63c0c9b285 · inbound

Factorized Latent Reasoning for LLM-based Recommendation cites this paper.

Factorized Latent Reasoning for LLM-based Recommendation Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:21:25.759805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 437d5937-f3d0-4953-9455-d69f5ade9e4b · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 189

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:06:09.114370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 57deb176-a10c-421c-93a8-f094b5608741 · inbound

SAPO: Step-Aligned Policy Optimization for Reasoning-Based Generative Recommendation cites this paper.

SAPO: Step-Aligned Policy Optimization for Reasoning-Based Generative Recommendation Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:18:16.753042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5b13a065-f740-414c-a0a6-b7baf76fe355 · inbound

ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation cites this paper.

ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-21T01:03:52.910061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d6a56cd1-3a78-438d-9ef3-972cea67ee29 · inbound

Generative Spatiotemporal Intent Sequence Recommendation via Implicit Reasoning in Amap cites this paper.

Generative Spatiotemporal Intent Sequence Recommendation via Implicit Reasoning in Amap Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-29T10:13:17.717106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 15712f5a-599f-4769-acce-7a4e0c6503b5 · inbound

VirtualMLE: A Virtual ML Engineer that Optimizes Sequential Recommenders cites this paper.

VirtualMLE: A Virtual ML Engineer that Optimizes Sequential Recommenders Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-02T05:06:39.813454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cb00fcd3-501e-4823-9d1c-1463ab1236a2 · inbound

When Does Latent Reasoning Help? MeRa: Metric-Space Bias for Spatial Prediction cites this paper.

When Does Latent Reasoning Help? MeRa: Metric-Space Bias for Spatial Prediction Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T05:36:40.387736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3a01e8e0-9eba-4f9e-945b-75d454f69b21 · inbound

DREAM: Dynamic Refinement of Early Assignment Mappings cites this paper.

DREAM: Dynamic Refinement of Early Assignment Mappings Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-06-27T22:31:21.807365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 04f72a98-2093-4bf1-a722-5e618c96628b · inbound

SSRLive: Live Streaming Recommendation with Dynamic Semantic ID cites this paper.

SSRLive: Live Streaming Recommendation with Dynamic Semantic ID Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:07:21.850563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bfb77f13-9ca3-4859-a452-0be8bd6bee00 · inbound

Beyond Matching: Category-Guided Latent Intent Reasoning for Generative Retrieval in E-Commerce cites this paper.

Beyond Matching: Category-Guided Latent Intent Reasoning for Generative Retrieval in E-Commerce Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:07:22.576675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5a5b25ea-6555-4bdb-a26f-78744d31b089 · inbound

RecRec: Recursive Refinement for Sequential Recommendation cites this paper.

RecRec: Recursive Refinement for Sequential Recommendation Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T10:57:10.309919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f1a54c0-128c-4cec-b24a-b89257e72b4c · inbound

RecRec: Recursive Refinement for Sequential Recommendation cites this paper.

RecRec: Recursive Refinement for Sequential Recommendation Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T07:17:34.150776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccb23107-6392-4c06-80a8-d953968ff29f · inbound

LaRec: Unleashing LLM-based Latent Reasoning for Generative Recommendation cites this paper.

LaRec: Unleashing LLM-based Latent Reasoning for Generative Recommendation Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T15:30:24.688846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69852a72-53a1-4d1d-85c9-fd24be48fc12 · inbound

Grevo: A Unified Generative Recommendation Framework with Evolutionary Item Indexing cites this paper.

Grevo: A Unified Generative Recommendation Framework with Evolutionary Item Indexing Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T02:49:15.348679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c58df50-b8be-43e8-9bf7-671f5a063427 · inbound

The Case Against Generation for Retrieval: Discriminative Language Models as Effective Retrievers cites this paper.

The Case Against Generation for Retrieval: Discriminative Language Models as Effective Retrievers Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T02:46:12.714247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c62eeab5-1295-46fc-b238-afdca2d3c7be · inbound

The Case Against Generation for Retrieval: Discriminative Language Models as Effective Retrievers cites this paper.

The Case Against Generation for Retrieval: Discriminative Language Models as Effective Retrievers Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T01:33:20.279167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.