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Paper Citation Record · LEDGER

Unified Structure Generation for Universal Information Extraction

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2203.12277.

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

pith.paper-citation-record.v1
2203.12277 v1

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 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:16:54.430996Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:09:41.621385Z

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 a9385e2d-bc75-4ed2-a4c3-1d0e896ee9ef · inbound

EXCEEDS: Extracting Complex Events via Nugget-based Grid Modeling in Scientific Domain cites this paper.

EXCEEDS: Extracting Complex Events via Nugget-based Grid Modeling in Scientific Domain Unified Structure Generation for Universal Information Extraction

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:43:38.154891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T23:39:40.979939Z digest=sha256:ce83bc6c62b866595f19026f985de55c27aea4f768d922e2c7af49f0861009d1

Observation f1be0fde-fc57-467b-8724-062c02725228 · inbound

Small Language Model Makes an Effective Long Text Extractor cites this paper.

Small Language Model Makes an Effective Long Text Extractor Unified Structure Generation for Universal Information Extraction

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-08T13:16:54.430996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:16:54.430996Z digest=sha256:63866f20cb4926318ade71095732ab7048d91d80127762d7512a3ecc4780535e

Observation 97988b9e-6a44-4c24-b02e-f82405ce2833 · inbound

The Joint Entity-Relation Extraction Model Based on Span and Interactive Fusion Representation for Chinese Medical Texts with Complex Semantics cites this paper.

The Joint Entity-Relation Extraction Model Based on Span and Interactive Fusion Representation for Chinese Medical Texts with Complex Semantics Unified Structure Generation for Universal Information Extraction

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T22:13:33.603806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:13:33.603806Z digest=sha256:07be3e7e3b6decf649360bb28f1dba68677bb6ea5c8f3aa6f655dd9e70b00eef

Observation a2c77f2e-7519-49be-af8c-baa9f5544cd5 · inbound

Large Language Model for Extracting Complex Contract Information in Industrial Scenes cites this paper.

Large Language Model for Extracting Complex Contract Information in Industrial Scenes Unified Structure Generation for Universal Information Extraction

Reference 2004

Resolution
unresolved
no resolver link, observed 2026-08-06T19:04:59.270187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:04:59.270187Z digest=sha256:58979c80ba8cbd346a1642d76df7d5962f869b642fe6266cd59ed7df48b5ed7b

Observation c587e84f-56df-4231-a2f3-6d15768feb4a · inbound

Scaling Performance and Low-Resource Annotation with Many-Shot In-Context Learning for Named Entity Recognition cites this paper.

Scaling Performance and Low-Resource Annotation with Many-Shot In-Context Learning for Named Entity Recognition Unified Structure Generation for Universal Information Extraction

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:09:41.622837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T12:06:59.819223Z digest=sha256:d47259f1c6e97bee0b84299e21aca70c39c136d82b3d33d2be52677281625d69

Observation d424ca4c-d719-46a8-9f43-4f8d3af12675 · inbound

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models cites this paper.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models Unified Structure Generation for Universal Information Extraction

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T11:59:17.837923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:59:17.837923Z digest=sha256:88df70e48c7ed5af8a7f90d97ff57eceb7a706dd8bc7a29c9cd631e0c29de484

Observation 9fbc7905-5db0-45b1-b8ea-f1640eb5f219 · inbound

DIRECT: Direct Decoding for Efficient and Aligned Sequence Labeling with Large Language Models cites this paper.

DIRECT: Direct Decoding for Efficient and Aligned Sequence Labeling with Large Language Models Unified Structure Generation for Universal Information Extraction

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-30T17:59:31.066020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T17:59:31.066020Z digest=sha256:cdafbe93202e1f0698dcfc135144f0a1f8c61bc24ed409fa0032c46caa10040e