Paper Citation Record · LEDGER

LiLiuM: eBay's Large Language Models for e-commerce

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.12023.

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

pith.paper-citation-record.v1
2406.12023 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:48:29.251593Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:05:51.128308Z

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 2b65f2d2-cd7c-486f-bec7-c6929416e183 · inbound

Domain Adaptation of Foundation LLMs for e-Commerce cites this paper.

Domain Adaptation of Foundation LLMs for e-Commerce LiLiuM: eBay's Large Language Models for e-commerce

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.251593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b6457bd-f544-41fd-bc34-e1f30952ef32 · inbound

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents cites this paper.

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents LiLiuM: eBay's Large Language Models for e-commerce

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:05.813649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 102d0f01-d1ee-4757-980b-cd310fbde2d4 · inbound

Valley3: Scaling Omni Foundation Models for E-commerce cites this paper.

Valley3: Scaling Omni Foundation Models for E-commerce LiLiuM: eBay's Large Language Models for e-commerce

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:51:06.074132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a37f3fbd-875d-4209-bcef-988804dc3d02 · inbound

JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications cites this paper.

JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications LiLiuM: eBay's Large Language Models for e-commerce

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-01T17:05:51.129724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9ebe1563-301d-4ce8-b98d-bba257a25888 · inbound

JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications cites this paper.

JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications LiLiuM: eBay's Large Language Models for e-commerce

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:44:37.235400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3c7f4a4d-bac8-43e5-9d99-8a74c3b98a5e · inbound

Efficient Clustering with Provable Guardrails for LLM Inference at Scale cites this paper.

Efficient Clustering with Provable Guardrails for LLM Inference at Scale LiLiuM: eBay's Large Language Models for e-commerce

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T12:03:18.799730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.