Pith. sign in

Paper Citation Record · LEDGER

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

As of 21 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 2026-08-20T06:33:59.587034+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=sha256:6c6c0c50431c5382db0ada2af62abf7b3e075d29673c329e21ee807a8eaad448

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:b185e2811e794f60c0cb24e2aabc1edabf7daa6219e2fe8d78175cabaa80fded

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=sha256:4145cab149837577f70724020d3a7e5619a2d9ed29510fbf2bca5411d571d6ef

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=sha256:8450aa343add292275ced6a1ce03b0e26b2621e5eae7b3e05cb3997bdeadd7e1

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=sha256:436209abeb3de5bacc6237d05b515ccfa54e59624bf038ab225935ec37162841

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=sha256:808d9d2223a55c77772761c4943ed5895a3b585243fa236cb80c900c8b2c53d9

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:eafbf9d386657f9d10d6247df8d63281c7dd4391c90ae8af5ebedae8e90b54f1

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:e4371c318bc23b8b280bd413c7cef1bfb44fa67512ff6016bf43cd3c952bbcb4

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=sha256:28bc83d398e92b27261541f906d8b8e8e61dfa3e4fca3cb0738d148be3bf79f0

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=sha256:386937c475af841542e99401fa016afab577b4865c0eb35315dce3c0b3234211

Pith citing papers

No inbound Pith citation observations are available.