Paper Citation Record · LEDGER

eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.08831.

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

pith.paper-citation-record.v1
2402.08831 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:45:20.524991Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T18:30:16.127023Z

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 828d2780-a77f-4879-8852-95bf1040f650 · inbound

Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning cites this paper.

Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T14:04:35.892888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 269f888f-b8f5-40ab-a0a3-5abc1827c636 · inbound

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

Domain Adaptation of Foundation LLMs for e-Commerce eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.462595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf4decca-0675-47be-b5b9-f53974f1d81a · inbound

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams cites this paper.

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T10:45:20.524991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb2c2644-0551-4691-88ed-84e5e6798105 · inbound

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

MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:06.044889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c006a30-188f-4091-8dec-b52f8aff8a41 · inbound

Large Foundation Model for Ads Recommendation cites this paper.

Large Foundation Model for Ads Recommendation eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:30:16.236335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5ca75c80-cd5d-4e9b-b2e4-6b9794a5a4e6 · inbound

Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation cites this paper.

Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T02:42:44.966721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eba66750-6229-4e7e-82a7-22ffa35363fe · inbound

Can LLM Agents Price Competitively? A Dynamic Multi-Attribute Auction Benchmark for Agentic Commerce cites this paper.

Can LLM Agents Price Competitively? A Dynamic Multi-Attribute Auction Benchmark for Agentic Commerce eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-04T01:23:15.477021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.