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Paper Citation Record · LEDGER

Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case

As of 9 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2607.26780.

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

pith.paper-citation-record.v1
2607.26780 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T21:19:05.616540Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

10 of 10 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b50f66c4-8196-45c0-a3a6-9e2cb007ee2b · outbound

This paper cites If no proper information could be retrieved, put None as the value.

Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case If no proper information could be retrieved, put None as the value

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-30T21:19:05.591919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T21:19:05.591919Z digest=sha256:beb5ea14300ec8b236f3d1fec222b13e6cce867b45ea35d0146cc1007a9d936d

Observation e05d23ad-c3e3-4751-adf9-b39d557b2b0c · outbound

This paper cites size":"",.

Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case size":"",

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-30T21:19:05.576668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T21:19:05.576668Z digest=sha256:befaefd95a815394429fd0ae49e71848b16a61daa27ff033111201caeea00351

Observation d512217e-d184-4928-94c0-bcabc513f8c0 · outbound

This paper cites size": [.

Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case size": [

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-30T21:19:05.597485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T21:19:05.597485Z digest=sha256:b052543df1cd0383d465b95223fdb3b205b0bce0526fb3490034b137e279566d

Observation 3777465d-b69f-4535-a158-2e63c71b8472 · outbound

This paper cites an unresolved cited work.

Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-30T21:19:05.602648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T21:19:05.602648Z digest=sha256:2481d915f9d9f62742b7cae8e015c1964c94ff01b039b4f2120cc5a953e10bc9

Observation 9e01d962-bb2c-40ce-82e3-5f2c1459b8dc · outbound

This paper cites Each key may include zero, one, or multiple suitable values.

Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case Each key may include zero, one, or multiple suitable values

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-30T21:19:05.607470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T21:19:05.607470Z digest=sha256:7481cbc877cf2ac3548f222658c89e0d5c5f1413fc28626c1db8e25931aee551

Observation 184fc498-08cb-43b5-b3e2-f8cd0973ba61 · outbound

This paper cites If it already looks correct, return it as the output.

Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case If it already looks correct, return it as the output

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-30T21:19:05.612316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T21:19:05.612316Z digest=sha256:d21850705d9036270ed9626fad4210e4e663d134f49e3e0a486205a31cb8b925

Observation 7c79834c-0a31-4eaa-8b3e-1cbba381bf3b · outbound

This paper cites size": [.

Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case size": [

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-30T21:19:05.616540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T21:19:05.616540Z digest=sha256:6fa05dfc0a75f4d59187d84b4624cd1555e98447872550d6ba668487ad3ecdce

Observation 150c0a69-b6f5-42fa-bd2e-113628553458 · outbound

This paper cites Structured information extraction from complex scientific text with fine-tuned large language models.

Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case Structured information extraction from complex scientific text with fine-tuned large language models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-07-30T21:19:05.557235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T21:19:05.557235Z digest=sha256:6ca58b539e05e00a5fccb9cb38afc85834bfbce7da95d13b32363086ab34451f

Observation d0795475-e0f7-43f8-965e-fe71449b6149 · outbound

This paper cites LLM-IE: A Python Package for Generative Information Extraction with Large Language Models.

Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case LLM-IE: A Python Package for Generative Information Extraction with Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-07-30T21:19:05.564720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T21:19:05.564720Z digest=sha256:846abaa042bfc911832cc07745bf5413f5e3bc6a98efba946bb4b3395aa43eed

Observation 150977f5-92dd-427c-84a2-0b9746366fd7 · outbound

This paper cites ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT.

Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-07-30T21:19:05.570981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T21:19:05.570981Z digest=sha256:41ddf71cb98545fc687846a28e7b8204cc7d25e5fe958292c4c43fdfa57525fa

Pith citing papers

No inbound Pith citation observations are available.