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Paper Citation Record · LEDGER

Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2305.07001.

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

pith.paper-citation-record.v1
2305.07001 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:50:53.879521Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:23:28.719667Z

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 213722f0-9dbf-4b6a-8e33-bb747478b41f · inbound

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders cites this paper.

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-24T03:05:56.944407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-24T03:03:51.053556Z digest=sha256:4cca5d0b906df457b993b3e675c922d083157eafcc9e14f136733bb1bd80b46f

Observation 2d28596f-e8a7-46da-8948-5eb83dff17e8 · inbound

Unleashing the Power of Large Language Model for Denoising Recommendation cites this paper.

Unleashing the Power of Large Language Model for Denoising Recommendation Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:53.879521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:53.879521Z digest=sha256:52a74ab0a2ca9d026a9c8858621c51e66fb1b0ff40bffe2d55d69d532dc4e145

Observation e3c2ded8-a67b-48dc-8977-16d825375f78 · 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 Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:20.310222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:20.310222Z digest=sha256:a0a2b2734a84e7f095932ef8bb9a9e3092b374c6520a3446513e5b9cc89c1ffc

Observation 5b22be86-88ba-40e9-b5ce-694c1de912c6 · inbound

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models cites this paper.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T05:14:53.916594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:53.916594Z digest=sha256:5be11661e5663e633b9003363f21833d38f0ba13d20ecd839f7e55f71d33c2cf

Observation 4fc157b2-aa59-434a-8b72-168cc35d54a8 · inbound

LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models cites this paper.

LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T15:03:57.258927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:57.258927Z digest=sha256:f5cc2472402d9dd0149983aca51844358e5b7feb38bbe7a4ca5617140aeb8874

Observation b8f48680-07ea-469f-888f-5d6bd3e8f409 · inbound

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation cites this paper.

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T18:02:16.931883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:02:16.931883Z digest=sha256:6ccc04458b81d017dec81a96f1b70f6f7b1b5b8a027ee21548cad9213a969afc

Observation 59d8d5d6-696d-41c2-ab98-12bd05ce3d7c · inbound

RecoWorld: Building Simulated Environments for Agentic Recommender Systems cites this paper.

RecoWorld: Building Simulated Environments for Agentic Recommender Systems Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-04T17:56:38.886734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:56:38.886734Z digest=sha256:e36d944180ff16bf3b44149366f55cb598749695c130f6a98d47ceccfe902c30

Observation ff79d638-7ce1-4d7c-aad0-323107d89763 · inbound

Agentic Recommender System with Hierarchical Belief-State Memory cites this paper.

Agentic Recommender System with Hierarchical Belief-State Memory Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:23:31.958051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:21:04.614347Z digest=sha256:2860e3419a8cc4d2f1fdba678f8103bdea1ad870f2c0c7b10d684261e6010b7f

Observation 168cb04a-d6d3-4e19-944e-4f205c48d99f · inbound

Agentic Recommender System with Hierarchical Belief-State Memory cites this paper.

Agentic Recommender System with Hierarchical Belief-State Memory Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:32:19.382758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T13:29:01.693151Z digest=sha256:ec6aa0e092a09ccee6c3ac5c1aafa25374d6bbf8186cc6ea1bf4c6c32cb967ee

Observation c246dba2-9a9e-4bda-a394-31bae117263c · inbound

LLM Retrieval for Stable and Predictable Ad Recommendations cites this paper.

LLM Retrieval for Stable and Predictable Ad Recommendations Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-22T04:51:05.875636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T04:46:53.593922Z digest=sha256:2140eb7ac39cab0a0c7d16e95eace2c935eed7124865ecf964fca2d28ca49eec

Observation 871f4dd5-00d1-4945-ad62-ad96b4cac2a2 · inbound

Fine-Tuned LLM as a Complementary Predictor Improving Ads System cites this paper.

Fine-Tuned LLM as a Complementary Predictor Improving Ads System Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-06-29T13:23:28.725443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T10:27:47.543575Z digest=sha256:c23c682ed10c0d6e1733159bfe21eac8da477f820b4c3f0748749a1bc0bef6ea

Observation b5031683-b312-4037-9446-0f91512b8686 · inbound

Beyond Fixed Depths and Widths: Optimizing Textual Decoding Tries in LLM-based Generative Recommendation cites this paper.

Beyond Fixed Depths and Widths: Optimizing Textual Decoding Tries in LLM-based Generative Recommendation Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-01T20:27:57.594560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:27:57.594560Z digest=sha256:5a2fc88f75ce3e54219d01b0e6ffecf42ef58b6b47c4f42c1cf35658160873c8

Observation 2d200b7e-2931-4594-a8ea-cfb1af2ada88 · inbound

Pailitao-MMSearch: Building Native E-Commerce Multimodal Search Foundation cites this paper.

Pailitao-MMSearch: Building Native E-Commerce Multimodal Search Foundation Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-01T17:51:51.703816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:51:51.703816Z digest=sha256:f8609c4d1a91cda182be2af848e2a982490e1dd8be8cc0b7edbbb668677584eb

Observation fa879b5c-d9e1-4a70-a77c-e9f178119f8f · inbound

GARDRec: Decision-Level Graph Grounding for Large Language Model Recommendation cites this paper.

GARDRec: Decision-Level Graph Grounding for Large Language Model Recommendation Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-04T00:55:47.513721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:55:47.513721Z digest=sha256:d793946897a6169ce50b7cb66718879b4bffbd9a1621c4791a5798a4ccea7de5