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Paper Citation Record · LEDGER

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2305.00447.

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

pith.paper-citation-record.v1
2305.00447 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:17:23.308209Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:27:57.057143Z

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 e82953cc-8858-4ef8-a56c-f68a07b5c213 · inbound

WizardLM: Empowering large pre-trained language models to follow complex instructions cites this paper.

WizardLM: Empowering large pre-trained language models to follow complex instructions TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:28:24.876565Z

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.

source=arxiv_source observed=2026-05-13T07:28:24.827546Z digest=sha256:93ed7a6f5f0b95500d28ac266bd62318cc0e9e51c5fbafc8a983d676f63d6456

Observation 07fbd576-c1d0-454a-839a-99d53ad514b9 · inbound

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit cites this paper.

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T22:17:23.308209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:17:23.308209Z digest=sha256:7783199863db8485e5a93d2116af236440543814ca4054a8c2147bcd30c3bbfc

Observation fd1f6d6b-f5be-44d5-8d3c-500f60f3d490 · inbound

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation cites this paper.

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T16:21:30.150513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:21:30.150513Z digest=sha256:df083480ca40dd4020e3964c88f3a217fe5715c5d950cdbd8658a367bdc1c2c9

Observation 49c92a7f-98c8-4e00-b24a-2e358d81acec · inbound

Can Large Language Models Understand Preferences in Personalized Recommendation? cites this paper.

Can Large Language Models Understand Preferences in Personalized Recommendation? TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T16:17:33.494619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:17:33.494619Z digest=sha256:5b1fdefa5a037a0d6fbaedf83c724d87744cd84c45ce01c6c5180885798a5b13

Observation 9a0e05e7-b678-4919-9a17-8b0baa9835ba · inbound

Large Language Model driven Policy Exploration for Recommender Systems cites this paper.

Large Language Model driven Policy Exploration for Recommender Systems TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-10T15:39:56.381992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:39:56.381992Z digest=sha256:dcf742779a11d0e82b7ae602f1f4cddb7681d5fe0b5635c942bc5e3f9ff2c71e

Observation 37cca7f0-8402-400f-8da2-f4aed4e82b39 · inbound

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations cites this paper.

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:06:04.855273Z

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.

source=pdf_text observed=2026-05-10T04:09:10.125285Z digest=sha256:84cfe81169391af1d1eaba7d8fa54ce504b049e0acb14218f2889cad0c64c32b

Observation 9caaeef7-d305-4e70-a82d-180c40b64d8d · inbound

Ocean4Rec: Offline LLM-Derived OCEAN Profiles for Request-Time VOD Reranking cites this paper.

Ocean4Rec: Offline LLM-Derived OCEAN Profiles for Request-Time VOD Reranking TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-30T15:34:48.794807Z

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.

source=pdf_text observed=2026-06-30T15:15:52.806007Z digest=sha256:313c4761624375dc97935ab7a41f3f9b8e454e0706501de50f206729541f7972

Observation bd808084-16a1-4e76-9910-72cc6cd45255 · inbound

Substrate Asymmetry in User-Side Memory: A Diagnostic Framework cites this paper.

Substrate Asymmetry in User-Side Memory: A Diagnostic Framework TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:57.058598Z

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.

source=arxiv_source observed=2026-06-27T09:58:16.639702Z digest=sha256:2a881794d42f234af9a26e88da8eda3028939bade5f265db735d6b876f293b8c