Paper Citation Record · LEDGER

RecLM: Recommendation Instruction Tuning

As of 19 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 3 inbound Pith citation observations for arXiv:2412.19302.

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

pith.paper-citation-record.v1
2412.19302 v3

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:48:04.171049Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:11:48.594630Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy31
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation cc5ec58a-95bd-40a9-830f-471c260971e5 · outbound

This paper cites write newline.

RecLM: Recommendation Instruction Tuning write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:04.032500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a43ee4b-d0ea-4aaf-8882-b46a2a376d3a · outbound

This paper cites Tallrec: An effective and efficient tuning framework to align large language model with recommendation.

RecLM: Recommendation Instruction Tuning Tallrec: An effective and efficient tuning framework to align large language model with recommendation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.559862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b982dfb9-f676-4f5c-9444-b53f6d92b56a · outbound

This paper cites Revisiting graph based collaborative filtering: A linear residual graph convolutional network approach.

RecLM: Recommendation Instruction Tuning Revisiting graph based collaborative filtering: A linear residual graph convolutional network approach

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.549869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e8001624-8278-4570-b57d-1a672bb83424 · outbound

This paper cites Recommender systems in the era of large language models (llms).

RecLM: Recommendation Instruction Tuning Recommender systems in the era of large language models (llms)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.538446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b5a7879d-6af2-4f53-a9ee-8508a9009588 · outbound

This paper cites Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System.

RecLM: Recommendation Instruction Tuning Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:04.049530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28f5566f-6e8e-4b7b-8215-71be5e1d0684 · outbound

This paper cites Recommendation as language processing (rlp): A unified pretrain, personalized prompt & predict paradigm (p5).

RecLM: Recommendation Instruction Tuning Recommendation as language processing (rlp): A unified pretrain, personalized prompt & predict paradigm (p5)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.529357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8d494f73-2c93-4257-9334-de9ce28ae21b · outbound

This paper cites Neural collaborative filtering.

RecLM: Recommendation Instruction Tuning Neural collaborative filtering

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.519239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2ae63b14-9330-4b03-b735-e0b515afb3fa · outbound

This paper cites Lightgcn: Simplifying and powering graph convolution network for recommendation.

RecLM: Recommendation Instruction Tuning Lightgcn: Simplifying and powering graph convolution network for recommendation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.509848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2430e751-cdf3-4f10-b154-f60fc5d56a49 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

RecLM: Recommendation Instruction Tuning LoRA: Low-Rank Adaptation of Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:04.064145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec91fdc7-aa25-417d-8a72-62e539a832e8 · outbound

This paper cites A matrix factorization technique with trust propagation for recommendation in social networks.

RecLM: Recommendation Instruction Tuning A matrix factorization technique with trust propagation for recommendation in social networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.500399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 536b97a4-20f4-4d4b-9651-dcfe08ccdbf1 · outbound

This paper cites Adaptive graph contrastive learning for recommendation.

RecLM: Recommendation Instruction Tuning Adaptive graph contrastive learning for recommendation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.489936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bb19a3d1-a633-4d44-9548-32bdc67e74d9 · outbound

This paper cites Diffmm: Multi-modal diffusion model for recommendation.

RecLM: Recommendation Instruction Tuning Diffmm: Multi-modal diffusion model for recommendation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.479228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 207bd7f3-d420-4e3a-be28-04c49ac483db · outbound

This paper cites Matrix factorization techniques for recommender systems.

RecLM: Recommendation Instruction Tuning Matrix factorization techniques for recommender systems

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.468995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bb69b19e-f6f7-47a0-a92b-720fe4bc5afb · outbound

This paper cites Advances in collaborative filtering.

RecLM: Recommendation Instruction Tuning Advances in collaborative filtering

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.458319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d4dbcf9a-d964-4bd9-92fe-f7a2d6010829 · outbound

This paper cites How can recommender systems benefit from large language models: A survey.

RecLM: Recommendation Instruction Tuning How can recommender systems benefit from large language models: A survey

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.448863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c5b9cfb2-002b-4d54-945e-5033685fcfec · outbound

This paper cites Improving graph collaborative filtering with neighborhood-enriched contrastive learning.

RecLM: Recommendation Instruction Tuning Improving graph collaborative filtering with neighborhood-enriched contrastive learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.438940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0a6b96d6-f7ba-4e68-9500-7e1b8f35d086 · outbound

This paper cites Pre-train, prompt, and recommendation: A comprehensive survey of language modeling paradigm adaptations in recommender systems.

RecLM: Recommendation Instruction Tuning Pre-train, prompt, and recommendation: A comprehensive survey of language modeling paradigm adaptations in recommender systems

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.428539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2293ab64-6374-423a-ba55-b086266ab6dc · outbound

This paper cites Representation learning with large language models for recommendation.

RecLM: Recommendation Instruction Tuning Representation learning with large language models for recommendation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.418296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8963fc1-d6fc-431d-b814-e38f365da965 · outbound

This paper cites Proximal Policy Optimization Algorithms.

RecLM: Recommendation Instruction Tuning Proximal Policy Optimization Algorithms

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:04.099942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db581c73-28f6-45a5-9cfc-b2b8b27316e6 · outbound

This paper cites Learning to summarize with human feedback.

RecLM: Recommendation Instruction Tuning Learning to summarize with human feedback

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.408653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 561b8579-7405-478e-94a2-42cb34f2c895 · outbound

This paper cites A survey of collaborative filtering techniques.

RecLM: Recommendation Instruction Tuning A survey of collaborative filtering techniques

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.399408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c219a521-7d83-4c9a-b7e0-9946006a680e · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

RecLM: Recommendation Instruction Tuning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:04.110793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c038add5-9a79-495e-89a0-f64a672f404c · outbound

This paper cites Time to shop for valentine's day: Shopping occasions and sequential recommendation in e-commerce.

RecLM: Recommendation Instruction Tuning Time to shop for valentine's day: Shopping occasions and sequential recommendation in e-commerce

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.389307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bf793189-8c44-47d9-ab27-9559dce1660c · outbound

This paper cites Large language models as data augmenters for cold-start item recommendation.

RecLM: Recommendation Instruction Tuning Large language models as data augmenters for cold-start item recommendation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.379080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 30fc27f6-20fe-4298-b487-9cfd62d8a1c2 · outbound

This paper cites Neural graph collaborative filtering.

RecLM: Recommendation Instruction Tuning Neural graph collaborative filtering

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.369588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bbca9880-b90c-4b32-9dcb-fee130efc2a3 · outbound

This paper cites Llmrec: Large language models with graph augmentation for recommendation.

RecLM: Recommendation Instruction Tuning Llmrec: Large language models with graph augmentation for recommendation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.360319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 802643de-121a-42ed-9be0-0a41450058d2 · outbound

This paper cites Mind: A large-scale dataset for news recommendation.

RecLM: Recommendation Instruction Tuning Mind: A large-scale dataset for news recommendation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.350409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4a5c7d3b-74d1-483e-b624-b2338025c415 · outbound

This paper cites Self-supervised graph learning for recommendation.

RecLM: Recommendation Instruction Tuning Self-supervised graph learning for recommendation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.340547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation afe486be-47f0-4142-8aaa-88256eba7fd2 · outbound

This paper cites Turning clicks into purchases: Revenue optimization for product search in e-commerce.

RecLM: Recommendation Instruction Tuning Turning clicks into purchases: Revenue optimization for product search in e-commerce

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.330425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 05b00e37-7a08-433f-a409-370f20765179 · outbound

This paper cites Self-supervised learning for large-scale item recommendations.

RecLM: Recommendation Instruction Tuning Self-supervised learning for large-scale item recommendations

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.320561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8e1c19ff-b693-4624-886a-7140f86cc877 · outbound

This paper cites Are graph augmentations necessary? simple graph contrastive learning for recommendation.

RecLM: Recommendation Instruction Tuning Are graph augmentations necessary? simple graph contrastive learning for recommendation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.310279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 429d78c0-9c75-44fa-b6c7-43b062feabd9 · outbound

This paper cites Self-supervised learning for recommender systems: A survey.

RecLM: Recommendation Instruction Tuning Self-supervised learning for recommender systems: A survey

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.299582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e96288d3-3d65-4dc3-b43b-3329d88c8e42 · outbound

This paper cites Where to go next for recommender systems? id-vs.

RecLM: Recommendation Instruction Tuning Where to go next for recommender systems? id-vs

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.289291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6c389ba7-8f82-4c4b-89db-d47bb680c426 · outbound

This paper cites Deconfounding duration bias in watch-time prediction for video recommendation.

RecLM: Recommendation Instruction Tuning Deconfounding duration bias in watch-time prediction for video recommendation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.279255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 70ec1e51-0d41-406d-bebc-7a9f890d3eef · outbound

This paper cites Understanding wechat user preferences and “wow” diffusion.

RecLM: Recommendation Instruction Tuning Understanding wechat user preferences and “wow” diffusion

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.269160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5943a0a8-3e76-4f25-994d-900ca6414a37 · outbound

This paper cites Recommendation as instruction following: A large language model empowered recommendation approach.

RecLM: Recommendation Instruction Tuning Recommendation as instruction following: A large language model empowered recommendation approach

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:04.259100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c2dd915-825c-4a5b-a197-256f6f42cd9c · outbound

This paper cites @esa (Ref.

RecLM: Recommendation Instruction Tuning @esa (Ref

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:04.163555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b416ce17-04bb-444f-8852-d8734b16045c · outbound

This paper cites an unresolved cited work.

RecLM: Recommendation Instruction Tuning Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:04.167506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2142662f-d3ca-4c4f-ba7f-21e7ede4c937 · outbound

This paper cites an unresolved cited work.

RecLM: Recommendation Instruction Tuning Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:48:04.237387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation a620f85f-8a7c-456f-8460-e49a8ec3eca3 · inbound

Large Language Model Enhanced Recommender Systems: A Survey cites this paper.

Large Language Model Enhanced Recommender Systems: A Survey RecLM: Recommendation Instruction Tuning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:48.594630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cde70c3-0cde-42c7-9b51-11ece0563610 · inbound

RecGPT: A Foundation Model for Sequential Recommendation cites this paper.

RecGPT: A Foundation Model for Sequential Recommendation RecLM: Recommendation Instruction Tuning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T06:01:36.201096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05e4f05b-82bd-4e4e-8301-925e6907d253 · inbound

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

GARDRec: Decision-Level Graph Grounding for Large Language Model Recommendation RecLM: Recommendation Instruction Tuning

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-08-04T00:58:31.261332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.