Paper Citation Record · LEDGER

A Cascaded Generative Approach for e-Commerce Recommendations

As of 19 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2605.11118.

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

pith.paper-citation-record.v1
2605.11118 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T14:39:21.506844Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

verified exact10
verified fuzzy3
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9fd9561-370d-43c0-b0b8-c837166ca3b3 · outbound

This paper cites an unresolved cited work.

A Cascaded Generative Approach for e-Commerce Recommendations Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-05-19T14:43:06.981612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1bcd6538-fcf7-44ac-83d3-4dec1b519246 · outbound

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

A Cascaded Generative Approach for e-Commerce Recommendations Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-19T14:42:37.509168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 41e3cfbd-1d87-4263-b5d0-e20acb09bc55 · outbound

This paper cites The Llama 3 Herd of Models.

A Cascaded Generative Approach for e-Commerce Recommendations The Llama 3 Herd of Models

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-19T14:42:37.562989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eff8aca8-7d66-4674-97c8-c93a788393a8 · outbound

This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.

A Cascaded Generative Approach for e-Commerce Recommendations DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-19T14:42:37.550829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 84ca7e35-93a9-4624-876f-45291cf7c3fc · outbound

This paper cites Distilling the Knowledge in a Neural Network.

A Cascaded Generative Approach for e-Commerce Recommendations Distilling the Knowledge in a Neural Network

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-19T14:42:37.556203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7300d090-9daa-4808-b5b7-7a1c47e50f66 · outbound

This paper cites A Survey on Generative Recommendation: Data, Model, and Tasks.

A Cascaded Generative Approach for e-Commerce Recommendations A Survey on Generative Recommendation: Data, Model, and Tasks

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-19T14:42:37.545335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 44867317-7ffa-41ab-87cb-b66a75e2e073 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

A Cascaded Generative Approach for e-Commerce Recommendations LoRA: Low-Rank Adaptation of Large Language Models

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T14:42:37.539414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 48c46e34-42ab-4261-9415-3feed70344c8 · outbound

This paper cites an unresolved cited work.

A Cascaded Generative Approach for e-Commerce Recommendations Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-05-19T14:43:06.972438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 234ac907-aa3b-4661-9a3c-af2801fef408 · outbound

This paper cites ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation.

A Cascaded Generative Approach for e-Commerce Recommendations ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-19T14:42:37.503073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d7cd9214-0ca5-4b41-bf42-a5862a0d2786 · outbound

This paper cites Large Language Models for Relevance Judgment in Product Search.

A Cascaded Generative Approach for e-Commerce Recommendations Large Language Models for Relevance Judgment in Product Search

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-19T14:42:37.522169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 90ae64ca-7b79-41b7-9eca-7612c8ce4a46 · outbound

This paper cites OpenAI GPT-5 System Card.

A Cascaded Generative Approach for e-Commerce Recommendations OpenAI GPT-5 System Card

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-19T14:42:37.533709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9543acf9-dd2a-4aac-989f-3c2027121a62 · outbound

This paper cites an unresolved cited work.

A Cascaded Generative Approach for e-Commerce Recommendations Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-05-19T14:43:06.986394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 22413c2c-38cb-415a-8f86-56c49fb8cfe4 · outbound

This paper cites Qwen2.5 Technical Report.

A Cascaded Generative Approach for e-Commerce Recommendations Qwen2.5 Technical Report

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-19T14:42:37.528084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 51c64db8-ec56-441f-a048-e5454eec98a4 · outbound

This paper cites Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q.

A Cascaded Generative Approach for e-Commerce Recommendations Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T14:43:06.978080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 110835a9-1ea2-481a-9b47-5c143e7ffdfc · outbound

This paper cites Liu, Ruirui Li, Yupin Huang, Dante Everaert, Han- qing Lu, and Garima Patel Monica Cheng.

A Cascaded Generative Approach for e-Commerce Recommendations Liu, Ruirui Li, Yupin Huang, Dante Everaert, Han- qing Lu, and Garima Patel Monica Cheng

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T14:43:06.975232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 16b3690f-69bf-444a-a758-e45fbdce3ffe · outbound

This paper cites an unresolved cited work.

A Cascaded Generative Approach for e-Commerce Recommendations Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-05-19T14:43:06.979968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fc4f3f7d-1315-46cd-b404-ba17a2d355fa · outbound

This paper cites Efficient Guided Generation for Large Language Models.

A Cascaded Generative Approach for e-Commerce Recommendations Efficient Guided Generation for Large Language Models

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T14:42:37.497421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4e4450e6-4c7c-4217-9333-c7e65271a46c · outbound

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

A Cascaded Generative Approach for e-Commerce Recommendations Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-19T14:42:37.515210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aed7983e-0d7f-4a5b-9133-05ccf233c02d · outbound

This paper cites Xing, Hao Zhang, Joseph E.

A Cascaded Generative Approach for e-Commerce Recommendations Xing, Hao Zhang, Joseph E

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T14:43:06.983752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.