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Paper Citation Record · LEDGER

Recommender Systems with Generative Retrieval

As of 9 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:bb10d8c4e341fef35f3a6132e0302f8e2b0f4b98557804e8b8623764b71ab4b2

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:c55134ac1df29d2e7f5bc41e60282b387e5d81fb1e2da8de79092ea558f582f6

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:bee445c903f6fd7e56f0a883c7296adafc4d34aa632a7077a37b07dfa0b446ba

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=sha256:32f1f75e1445e48497319ee63ecc134c24d586fa6ec76d8aae2bec5d68b0b20e

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=sha256:7794b3cd451b18e23897bb4080c46cc6429e72ebacc90bccf134b9f022784c40

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:d9457f9bae5b6028c7f12492e1fd2f404041be252fedea4c1dc9b5c7feae5d9c

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=sha256:284ca54d13bb2a9c47bf9dac707ca830c35a209f831041d52e1a6c6c7e6f82ab

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=sha256:9a5b0d80450e7ebee004c563080fe3d39d71965fe6a41437413be0fbc6a592b2

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=sha256:8bd3afde710f68324fad338cb31977188c1b516a3be6ed2c35e6f1a097a1899f

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=sha256:75dbf0dae4cc7635bbcc431df12b61c28c24a7ff052a7d1bf29ab8130d6346f1

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:b8713c761c2aebc7792e6999d1a363384f2708f47bec58776cef8832875ee71d

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=sha256:44d6075664cfe739514f5043fd78300ada32afd76fcc4f91e9b019166e7aae69

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:b9d4d79135783b845cff21035f0b7ba48a2e32c9201cbfaad8e5d3f1808351a3

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=sha256:4d7e812fa8f48a141c295054a457b1b66bf368688e19484b141f821e302a4360

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=sha256:7acf8b3470b440eb109ce40b7f257bd1d4cbb9aa194fc4372a2728e132cf442f

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=sha256:2b089a5dfd6f99494ec1f64a1e61462e26a1ca47c9b39dfe5c510d9a3bf4e512

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:c1896c31579576c5a42d6fcb1a405fe1727a4120df52bbd0699a46342e0f63a8

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=sha256:91aa71e5e29d1b6f89769ed13fc469a5d8530a410e72ddd90a141854b25fdf26