Pith. sign in

Paper Citation Record · LEDGER

Large Language Models are Zero-Shot Rankers for Recommender Systems

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2305.08845.

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

pith.paper-citation-record.v1
2305.08845 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:47:55.692575Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T15:34:48.771898Z

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 da55f5a9-1b4c-43e3-ba23-7e388be4ff68 · inbound

Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations cites this paper.

Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations Large Language Models are Zero-Shot Rankers for Recommender Systems

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:39:32.871849Z

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=2026-05-13T19:39:32.740496Z digest=sha256:8141e01d755695004726753f2fd89925d176653c80ec37e5ad9536f08751f07e

Observation dc7572f8-cba0-47fd-84cc-9a058c6c6892 · inbound

CoDec: Prefix-Shared Decoding Kernel for LLMs cites this paper.

CoDec: Prefix-Shared Decoding Kernel for LLMs Large Language Models are Zero-Shot Rankers for Recommender Systems

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:55.692575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:55.692575Z digest=sha256:469f56852020825025b00196cf5f04c1815a482599b8f1ab311cb3c811238aed

Observation eb0c62e5-7015-4f70-afc2-c7f00994e00e · inbound

Rethinking Group Recommender Systems in the Era of Generative AI: From One-Shot Recommendations to Agentic Group Decision Support cites this paper.

Rethinking Group Recommender Systems in the Era of Generative AI: From One-Shot Recommendations to Agentic Group Decision Support Large Language Models are Zero-Shot Rankers for Recommender Systems

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T21:17:34.813941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:17:34.813941Z digest=sha256:b1481ac238b972dbd5029a4987b24b29828acbd6d515d058414239ce032691fd

Observation e70ea560-4de2-4a49-92ea-35c78ba6a187 · inbound

Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation cites this paper.

Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation Large Language Models are Zero-Shot Rankers for Recommender Systems

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:16:07.343691Z

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=2026-05-09T20:26:02.884219Z digest=sha256:7b8a31226d2084bb146589894242274468328e955a755e74c77d62d89d451d33

Observation 1df745e5-580f-41f4-aecf-cba2e312d065 · inbound

One Pass, Any Order: Position-Invariant Listwise Reranking for LLM-Based Recommendation cites this paper.

One Pass, Any Order: Position-Invariant Listwise Reranking for LLM-Based Recommendation Large Language Models are Zero-Shot Rankers for Recommender Systems

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:11:27.213115Z

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=2026-05-07T07:34:40.725207Z digest=sha256:d9da9d5e9c48437af5ae54587c5a6db14e8cd360397e512c35f6c2833b1eb587

Observation 534c7543-4812-4179-9cb2-b810e19f3c31 · 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 Large Language Models are Zero-Shot Rankers for Recommender Systems

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-06-30T15:34:48.773312Z

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=2026-06-30T15:15:52.806007Z digest=sha256:acd8b912474d746ede3d7f73b4b6e5aa29807d69723e61d537cde3ac41c33796

Observation 02c98087-c86b-43ba-9a13-4c92000aa893 · inbound

LRanker: LLM Ranker for Massive Candidates cites this paper.

LRanker: LLM Ranker for Massive Candidates Large Language Models are Zero-Shot Rankers for Recommender Systems

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-29T10:33:18.850044Z

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=2026-06-29T10:30:39.472561Z digest=sha256:42190c4d8c610ca1227167e1a966bdfb1326b2eac6fbfffb71641db4b9ca1563

Observation f7e347f3-ec25-4402-8135-54e7dfbbe7d1 · inbound

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

GARDRec: Decision-Level Graph Grounding for Large Language Model Recommendation Large Language Models are Zero-Shot Rankers for Recommender Systems

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T00:55:44.228830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:55:44.228830Z digest=sha256:50c4250c15d3c23034e86136763d14f24546a999c5953ea74d6e93daa221042b

Observation bdfd09a4-6654-4ba2-aaa4-6bb182840e01 · inbound

LLM-Derived Priors for Thompson Sampling in Cold-Start Comment Recommendation cites this paper.

LLM-Derived Priors for Thompson Sampling in Cold-Start Comment Recommendation Large Language Models are Zero-Shot Rankers for Recommender Systems

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T20:03:02.214621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:03:02.214621Z digest=sha256:40ea423c81327039000f2db7a1c8b05d37fa9a6beec51a977a9f6040d2164ad0