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Paper Citation Record · LEDGER

Recommender Systems with Generative Retrieval

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2305.05065.

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

pith.paper-citation-record.v1
2305.05065 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:14:07.969295Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:17:22.260897Z

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 b339dcdf-fcea-441a-8897-bbf1a2ef43a0 · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey Recommender Systems with Generative Retrieval

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-24T05:13:57.093164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T05:10:25.171044Z digest=sha256:1f0964566233dbe83fc92e9fbb670da9329ddfedcbc8479c7c8786084a8caa9a

Observation 6ae0cedc-76be-4de8-a368-ac279ad96c53 · inbound

JointRank: Rank Large Set with Single Pass cites this paper.

JointRank: Rank Large Set with Single Pass Recommender Systems with Generative Retrieval

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T22:14:07.969295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:14:07.969295Z digest=sha256:9268ebb30ad0056665ff1eacceb35058e5b6ca7070d4b84e35e454842ef7fb13

Observation 29616544-2490-4612-9a12-a5e7ea4ec85c · inbound

Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators cites this paper.

Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators Recommender Systems with Generative Retrieval

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-02T20:42:42.844104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:42:42.844104Z digest=sha256:54d26142de65b9c0654200c10d03f8be01a81f2b5fb41d01a60ac82513175d12

Observation 620be13b-26ca-450f-b9a7-96faac83f766 · inbound

SID-Coord: Coordinating Semantic IDs for ID-based Ranking in Short-Video Search cites this paper.

SID-Coord: Coordinating Semantic IDs for ID-based Ranking in Short-Video Search Recommender Systems with Generative Retrieval

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T09:00:59.327720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:21:14.663436Z digest=sha256:d1cddbe340375ae93befd6750cb6485fb326fb04df7fafce53c0f6177c6d450b

Observation bfc7b78b-19a1-4016-a716-b0167c00a808 · inbound

CapsID: Soft-Routed Variable-Length Semantic IDs for Generative Recommendation cites this paper.

CapsID: Soft-Routed Variable-Length Semantic IDs for Generative Recommendation Recommender Systems with Generative Retrieval

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:26:12.707789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T15:54:53.821143Z digest=sha256:7348c8e6130dbbe4a8f348fc72848f7db6cdfe4e81fd32b3582050df8e894f7d

Observation c9bf3527-f3b1-4c34-a39a-3bae21a10da8 · inbound

TwiSTAR:Think Fast, Think Slow, Then Act,Generative Recommendation with Adaptive Reasoning cites this paper.

TwiSTAR:Think Fast, Think Slow, Then Act,Generative Recommendation with Adaptive Reasoning Recommender Systems with Generative Retrieval

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T01:42:03.658122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T01:40:04.856714Z digest=sha256:bfe1bd482109a89a96f378cabfb65581e19afdcab595efb3fa73eb89715d883e

Observation d93d1b5d-55de-43c0-8191-961144c08544 · inbound

Learning Variable-Length Tokenization for Generative Recommendation cites this paper.

Learning Variable-Length Tokenization for Generative Recommendation Recommender Systems with Generative Retrieval

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T12:03:15.107625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T12:00:37.247231Z digest=sha256:3a73c493dfa71b944db6d4a449f9b107007967d05ac7896b614cffc75f247ee2

Observation e74b4bf1-07af-46e3-9f8b-087e4f893d25 · inbound

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

Fine-Tuned LLM as a Complementary Predictor Improving Ads System Recommender Systems with Generative Retrieval

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T13:23:28.691081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T10:27:47.543575Z digest=sha256:6f49eb40fdc4e8785e8084cf8095953c4fd503241208037e6683f44e41624c01

Observation 412d14f5-5376-4710-81f5-80f74ad1b54a · inbound

VirtualMLE: A Virtual ML Engineer that Optimizes Sequential Recommenders cites this paper.

VirtualMLE: A Virtual ML Engineer that Optimizes Sequential Recommenders Recommender Systems with Generative Retrieval

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T05:06:39.824419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T08:34:32.266593Z digest=sha256:ef8d6fb7fc7d2a83871b3c82a893c2d8af84ff52f8872e91fdc7f667484b8469

Observation 055a0c11-175d-48a4-89ba-41f8d442e6ab · inbound

Gated Bidirectional Linear Attention for Generative Retrieval cites this paper.

Gated Bidirectional Linear Attention for Generative Retrieval Recommender Systems with Generative Retrieval

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:17:22.262268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T20:38:01.086990Z digest=sha256:9edcd0c1be16fc24d0c149aa2991438a9ea31468d41ec26ea292b5b09617e1d7

Observation 5da09078-a3ea-4841-a1f9-4d878c299403 · inbound

Session-Level Optimization for Large-Scale Retrieval using REINFORCE with Multi-Step Off-Policy Correction cites this paper.

Session-Level Optimization for Large-Scale Retrieval using REINFORCE with Multi-Step Off-Policy Correction Recommender Systems with Generative Retrieval

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-12T06:51:24.908954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:51:24.908954Z digest=sha256:ba605ade25620916f3963abbab2d0cb981f17d38555ba73e8ca39688e1447401

Observation 7ab6e48a-651e-482b-b457-69918942bd4a · inbound

Session-Level Optimization for Large-Scale Retrieval using REINFORCE with Multi-Step Off-Policy Correction cites this paper.

Session-Level Optimization for Large-Scale Retrieval using REINFORCE with Multi-Step Off-Policy Correction Recommender Systems with Generative Retrieval

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T08:59:05.476742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:59:05.476742Z digest=sha256:5e2b7c909e036c9fc50b545ea300857168accaed18b3b46cdc6b4a7755d5aa24

Observation d7943141-aaf2-4211-9d66-ff957acb7f8a · inbound

Serving the Long Tail: Training-Free LLM Candidate Generation for Vacation Rental Marketplaces cites this paper.

Serving the Long Tail: Training-Free LLM Candidate Generation for Vacation Rental Marketplaces Recommender Systems with Generative Retrieval

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-14T14:54:14.248741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T14:54:14.248741Z digest=sha256:6e5c8897e487f666e76c7664ad21eee9a91648272940a834cc06a5282f390ed8

Observation 147f2092-a84d-4448-874d-f2a3a904ac5a · inbound

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery cites this paper.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery Recommender Systems with Generative Retrieval

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-14T01:13:45.038679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T01:13:45.038679Z digest=sha256:5c1d79ee0819b3b88dde88d9846ab8090d840ab0542425257cf6bd4a5ef570af

Observation 457d54b1-024b-4c3a-b1ef-0dbf57c57234 · inbound

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery cites this paper.

An LLM-powered Agentic Recommendation System for Connected TV Content Discovery Recommender Systems with Generative Retrieval

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T07:33:13.096097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:13.096097Z digest=sha256:9aa162e947be41cd88965b6c28016b92a07119f93c63e37c0ec2036f16597195

Observation 5aa10e0b-f6b2-46df-9e9b-70cc55bb83ec · inbound

EGR: Embedding-Native Generative Retrieval with a Shared LLM cites this paper.

EGR: Embedding-Native Generative Retrieval with a Shared LLM Recommender Systems with Generative Retrieval

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T03:52:37.036195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:52:37.036195Z digest=sha256:6d08182c9fcb1a126ab0c75b24eb519fb873f51ac8439ee06e460206cb731587

Observation f610840e-8c45-4fd3-986e-3fdb189571aa · inbound

Mosaic: A Fleet of User Embedding Specialists for Recommendation at Meta cites this paper.

Mosaic: A Fleet of User Embedding Specialists for Recommendation at Meta Recommender Systems with Generative Retrieval

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-31T23:18:21.999500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:18:21.999500Z digest=sha256:b0f51bc473bcd22b66a1f27ed5dbff168be42439727809aae7efe91d519490e4

Observation a1e39e40-449c-4cc3-8937-6319bb528cfd · inbound

Hierarchical Residual Policy Optimization for Generative Recommendations cites this paper.

Hierarchical Residual Policy Optimization for Generative Recommendations Recommender Systems with Generative Retrieval

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T00:28:22.604793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:28:22.604793Z digest=sha256:b2377e3f6665840e17514f243e19cc8de4dab552f504d5cd74195f9a2232bb3c