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Paper Citation Record · LEDGER

EcomGPT-CT: Continual Pre-training of E-commerce Large Language Models with Semi-structured Data

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.15696.

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

pith.paper-citation-record.v1
2312.15696 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:07:46.787630Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:43:25.228130Z

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 6bff9a88-bb43-4259-ac02-662a654e7abf · inbound

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio cites this paper.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio EcomGPT-CT: Continual Pre-training of E-commerce Large Language Models with Semi-structured Data

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:43:25.231006Z

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.

source=pdf_text observed=2026-05-23T20:42:38.782232Z digest=sha256:ea77934939c31c38b9403cad23cfbe505b8ee0e1142cae6333cbf6f580ffaa68

Observation f4a5c182-6968-4c75-aa8a-bb9d1fbe39b7 · inbound

Continual Pre-Training is (not) What You Need in Domain Adaption cites this paper.

Continual Pre-Training is (not) What You Need in Domain Adaption EcomGPT-CT: Continual Pre-training of E-commerce Large Language Models with Semi-structured Data

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T12:07:46.787630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:07:46.787630Z digest=sha256:b8ddaedcfd655b48907fc594252b58fd0b9f58b830ce07f183e0aa1734b08c7d