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Paper Citation Record · LEDGER

A Large Language Model Enhanced Conversational Recommender System

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2308.06212.

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

pith.paper-citation-record.v1
2308.06212 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:16:37.571391Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:40:02.805451Z

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 4c489818-78ef-473b-8859-d718454e93e5 · inbound

Proactive Guidance of Multi-Turn Conversation in Industrial Search cites this paper.

Proactive Guidance of Multi-Turn Conversation in Industrial Search A Large Language Model Enhanced Conversational Recommender System

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:15.582851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:15.582851Z digest=sha256:826efbacabf8fd585d57e11e3a8cc561ce19b2b72768b0b1e395edbabc2c7ace

Observation 55b17e5e-5e95-44c1-911f-66b40b12337e · inbound

Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent cites this paper.

Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent A Large Language Model Enhanced Conversational Recommender System

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T21:45:02.773862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:45:02.773862Z digest=sha256:313a05b1ea0070f9b52a180eee378b18051d3bf6eba1005f33646210254c1e07

Observation da776c11-2415-4ba7-a589-963a244664f7 · inbound

On Mitigating Data Sparsity in Conversational Recommender Systems cites this paper.

On Mitigating Data Sparsity in Conversational Recommender Systems A Large Language Model Enhanced Conversational Recommender System

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:04.696829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:20:04.696829Z digest=sha256:b0d739056ec8b1444fb4086f5e55d5182698a05b3cf8f2ce7b18845934f4b337

Observation 475dc4ea-44d9-4b01-976f-7575988d574a · 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 A Large Language Model Enhanced Conversational Recommender System

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T21:17:33.671702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:17:33.671702Z digest=sha256:e098ed237c9816e780d48ee88c41cbc8197823d6a6c803453653319eaf1195ed

Observation 6d0f4e85-29de-4acd-9b8f-ecd2bd066a54 · 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 A Large Language Model Enhanced Conversational Recommender System

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T15:03:57.157495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:57.157495Z digest=sha256:c7c39d463eda47274b23be9b52a6d4bebf837b73fbf0e9662e150bf62c7c7dc5

Observation 557a50f2-552c-40b0-ac8c-a214438ad7b3 · inbound

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions cites this paper.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions A Large Language Model Enhanced Conversational Recommender System

Reference 174

Resolution
unresolved
no resolver link, observed 2026-08-05T15:41:01.002799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:41:01.002799Z digest=sha256:6bd4bf3b5773be4552fb943080ee1b420ebbfa5617654715622bbf5662a49fa8

Observation f75f6782-9424-4776-893b-acce283ea1e1 · inbound

Modeling shopper interest broadness with entropy-driven dialogue policy in the context of arbitrarily large product catalogs cites this paper.

Modeling shopper interest broadness with entropy-driven dialogue policy in the context of arbitrarily large product catalogs A Large Language Model Enhanced Conversational Recommender System

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T00:04:04.592098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:04:04.592098Z digest=sha256:55f7817c2018d2577ffdd6b86af6ae924b19059a16c89df8871900b1b116dd00

Observation 4ac57307-587e-419d-90cb-1269e521c064 · inbound

CESRec: Constructing Pseudo Interactions for Sequential Recommendation via Conversational Feedback cites this paper.

CESRec: Constructing Pseudo Interactions for Sequential Recommendation via Conversational Feedback A Large Language Model Enhanced Conversational Recommender System

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T19:17:02.138970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:17:02.138970Z digest=sha256:84efd06da175e4a039b5925abe7c83d388accdc55b7d6331ccfcf722c24b689e

Observation 20c8bdf1-b875-4843-baa2-8a5f7af51eb4 · inbound

Retrieval Augmented Conversational Recommendation with Reinforcement Learning cites this paper.

Retrieval Augmented Conversational Recommendation with Reinforcement Learning A Large Language Model Enhanced Conversational Recommender System

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-10T21:55:51.138085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:28:21.001363Z digest=sha256:c03d62f65c8c9ed9bc672440fbdfa60554b770d83e3c49b8abfd2c8fa1d49579

Observation ea73f13b-5809-4896-b039-c703e7163ec5 · inbound

ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning cites this paper.

ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning A Large Language Model Enhanced Conversational Recommender System

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:41:38.052975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T17:29:34.145855Z digest=sha256:e1dce1b4be5b02636b6e5f25f739d923de4071137d4e6db7b464ab42854d2fea

Observation e1df143b-2f5b-4cce-8a30-eb54d1c77598 · inbound

Dialogue to Discovery: Attribute-Aware Preference Elicitation for Conversational Product Search Assistants cites this paper.

Dialogue to Discovery: Attribute-Aware Preference Elicitation for Conversational Product Search Assistants A Large Language Model Enhanced Conversational Recommender System

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T18:40:02.807629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-25T22:41:25.281507Z digest=sha256:d414feb40eaad97420c511129c662e55566dc3f4a1bb85f6492a9ef755f7534d

Observation 8c108cea-5306-4c38-999f-042ba032fb7c · inbound

Shape Your Feed: An LLM-based Agentic System for Conversational Recommendation cites this paper.

Shape Your Feed: An LLM-based Agentic System for Conversational Recommendation A Large Language Model Enhanced Conversational Recommender System

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T04:16:37.571391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:16:37.571391Z digest=sha256:b4942cfc609734a0c94504f562b1cfa7ed9bd452c91161e490f81c9d5f27c5fc