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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 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 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:59:19.226633Z

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T01:29:56.480020Z digest=sha256:337975f36d4fca8357866de82a26f9748a227fc033c9dd44672be167d81a63a9

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.

source=pdf_text observed=2026-08-07T14:58:18.327024Z digest=sha256:28cbfdfb4a9149a97bdc53aec0bb01d94df560cf3684aaa5c95469dfe2baf8d3

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.

source=pdf_text observed=2026-08-07T14:59:19.226633Z digest=sha256:c8b39ccdf83c0382ee659f4f8390733e80bea336ca2378dd9a77d384d3d084c9

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.

source=pdf_text observed=2026-08-06T21:40:50.149308Z digest=sha256:21370f39c50f68a66413a32e897b6af18be90d5c101609b80da468e9fc104907

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.

source=pdf_text observed=2026-08-06T00:57:14.434415Z digest=sha256:af4837f07346b669520335f7f0eed0b9a7658bf8fd8999418a150003f54260fd

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.

source=pdf_text observed=2026-08-05T11:39:36.779144Z digest=sha256:5e6f363d3a9c68ee1892c87cb039572e67e5bbe7f49dc9f8c7d894422cf58038

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T03:47:08.208082Z digest=sha256:005af48a38439a2ac7c3641f17d459ad45c7aa8ebb91e8754aa6766ea7de9bb3

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.

source=pdf_text observed=2026-08-03T08:09:52.692050Z digest=sha256:3af9ffd2551740c781800ecaa2aa4af72f982cefa2e365b1bf4d65858d60b997

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T14:23:44.856958Z digest=sha256:bea1d4c43beb21346f5a49ba1816c4449c7dc1d8e047d853b1660f791ea8d096

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T09:24:48.941118Z digest=sha256:84c473c3bbffb2e83a187f9e0cbc63c19eaf8084e2446f82c536357db17b609d

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.

source=pdf_text observed=2026-08-03T06:28:28.384421Z digest=sha256:1757d62dd4f639258b535f974b3fbf8d43411ad07b6edf99471e616364ee0612

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.

source=pdf_text observed=2026-08-03T00:05:10.919389Z digest=sha256:51b1a52e1b6bcbbc9573a56ade9b28671ffb6bd8d616f0fea44ab9f849ee44df

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.

source=pdf_text observed=2026-08-02T22:31:36.086765Z digest=sha256:aa1f22252faae83cbea56543509475036f2f8244cc30a4f8255bea5fd3826a17

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.

source=pdf_text observed=2026-07-13T14:03:01.974171Z digest=sha256:dcdebb6aa601d6fde11441d870b3c1ede373c67bf1a4689b7d68e529de634e5a

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.

source=pdf_text observed=2026-07-13T14:03:01.974171Z digest=sha256:04831459993287028d5c87cf5f04d21adb21ec6b0dacf561e992d98073770bb9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:07:57.407247Z digest=sha256:9621da37015888010ff211f2de0b34fb083980b9ec02d9df60019a00e21003fc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T01:44:44.346732Z digest=sha256:96eb106f45688496645288e6712df9833f4f2e252dfe9d96a0e1eeb5411b496e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T11:19:46.718542Z digest=sha256:fec6410976494ce3fb8166bf1ff9639d2a21742971e4f01349ee201428c3586e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T10:19:08.451445Z digest=sha256:b7349a21fe1cebf7b767f63925c25a1e2eb0caabbdd481c0ee2d093042f15369

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T12:14:39.506731Z digest=sha256:53f1b68437796a51c7df03e61e175cdac02542bcc6f58eb393c8323e65239167

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-21T01:01:46.760396Z digest=sha256:675162eb655071b351b3490d27c100af3f127ad82bc939e289d10ecce7fbff4b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T10:10:14.655556Z digest=sha256:a7454ec5ba52d6dd045d391c15945a78ca64d5113d7adeac16cc761f2609b1f6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T08:34:32.266593Z digest=sha256:7d371a90ee5f17a7fb18ce62cc1f3e447c95c4982442a6f15d99810558cbe996

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T08:05:59.619147Z digest=sha256:57c45611b93050b3c02c427a6aa1b610576eed26e10e643458310c521c0313e5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T21:01:35.956078Z digest=sha256:b54ed7acea756b1e5b3406e00a64645a1198cd31238932a1e05336c1d4321a71

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T20:58:45.808333Z digest=sha256:8bfb647079fe304e1eae4b581b63635dda3a7900cc9bba0ed97dd456a1146c99

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T20:50:16.765453Z digest=sha256:4e600d6b9d3999071e607a2444e90e8e2601186cd646f046edced2ea6db0dbd7

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.

source=pdf_text observed=2026-07-14T10:57:10.309919Z digest=sha256:2491909d69579c1aeb663bbabaf63d9bcb1679eae7ee1f65519173129793804a

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.

source=pdf_text observed=2026-08-02T07:17:34.150776Z digest=sha256:761ba783d22d8848d9b087d862f6f4796c092e2ead7305ef2b0b8cb00360869b

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.

source=pdf_text observed=2026-08-01T02:49:15.348679Z digest=sha256:9f8920cfe88b0ede0d04e377fb515e83b8b2aeb3b61a55c3f4e936ca09d026a4

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.

source=arxiv_source observed=2026-08-01T02:46:12.714247Z digest=sha256:553cd2b61b793a42160d6905273e8a7218a65989e90773c7d4c23f66f4032564

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.

source=arxiv_source observed=2026-08-04T01:33:20.279167Z digest=sha256:f4c64241d11e9f5743032caa100c3c3b65701bd162683114d8b1a1c16d431c3c