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Paper Citation Record · LEDGER

ExtractGPT: Exploring the Potential of Large Language Models for Product Attribute Value Extraction

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.12537.

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

pith.paper-citation-record.v1
2310.12537 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:36:06.761646Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:57:27.957381Z

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 755e3eb5-ec7b-421b-8a70-ef5a72df7014 · inbound

Table Integration in Data Lakes Unleashed: Pairwise Integrability Judgment, Integrable Set Discovery, and Multi-Tuple Conflict Resolution cites this paper.

Table Integration in Data Lakes Unleashed: Pairwise Integrability Judgment, Integrable Set Discovery, and Multi-Tuple Conflict Resolution ExtractGPT: Exploring the Potential of Large Language Models for Product Attribute Value Extraction

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T05:36:06.761646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:36:06.761646Z digest=sha256:16f157a06c98132c7acd2e36f780f74d5d6a640934bc88c39c31510ea81a93c6

Observation 746ce989-edc6-459f-b64c-8e05f1b0553d · inbound

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction cites this paper.

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction ExtractGPT: Exploring the Potential of Large Language Models for Product Attribute Value Extraction

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:57:27.958863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-07-02T23:54:20.000531Z digest=sha256:f8812416334a659d58d4edc9d3cb6da7da297ed8041efc17e3d318442c7525af

Observation ca727601-06f5-41f7-aafc-751d6994ba58 · inbound

Beyond Exact Match: How Evaluation Methodology Dominates Model Choice in LLM-Based Product Attribute Extraction cites this paper.

Beyond Exact Match: How Evaluation Methodology Dominates Model Choice in LLM-Based Product Attribute Extraction ExtractGPT: Exploring the Potential of Large Language Models for Product Attribute Value Extraction

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T04:06:04.591920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:06:04.591920Z digest=sha256:69704077bf64b11fd683f1a9469607f4b3f409f54234cf23781a77fe744fc564