Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:34:05.813649Z

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 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.

source=arxiv_source observed=2026-08-06T19:34:05.813649Z digest=sha256:a67fce182b1af8e761d5638be64bcba031ea252c553fd45c30ca80a5064baadf

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-09T14:53:55.160230Z digest=sha256:3651e1032d0cd0f04cea14fb83da650bc7719e53e2c1469f8d449716985054cf

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-29T04:11:05.226043Z digest=sha256:1e51370e03b5df7bae10c5ba484b2785543e030f60f4d98a80919d60b760c150

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-30T09:43:58.385814Z digest=sha256:d7e3d1f088919d5c624fd3a76efa8c8a06949a69b58f0e9bed89f891a7d39621

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.

source=pdf_text observed=2026-08-01T12:03:18.799730Z digest=sha256:3e64c7fb23d42c990554d43f840b2797bc0f89d844f5d2b8d17a1b840e3ee29b