Pith. sign in

Paper Citation Record · LEDGER

InstructIE: A Bilingual Instruction-based Information Extraction Dataset

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.11527.

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

pith.paper-citation-record.v1
2305.11527 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:35:28.264859Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:05:51.157356Z

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 d85d1658-db6f-42a0-8d0d-361fac9b7479 · inbound

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis cites this paper.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis InstructIE: A Bilingual Instruction-based Information Extraction Dataset

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T00:35:28.264859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.264859Z digest=sha256:b8c5b38fb23ee389e99ac80e0862e9165ce5e098ad11303dd3dc627a128fb251

Observation be0cd454-89df-42d4-a209-7a83f4a224c0 · inbound

Joint Information Extraction Across Classical and Modern Chinese with Tea-MOELoRA cites this paper.

Joint Information Extraction Across Classical and Modern Chinese with Tea-MOELoRA InstructIE: A Bilingual Instruction-based Information Extraction Dataset

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T12:54:05.419718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:54:05.419718Z digest=sha256:5d0d3f2b325784d34f3ad4f9800884ebfc17da0eb0356cec1ad4d222345b0ab5

Observation 0068187b-fbbe-47b3-a788-cc8e018e9d3c · inbound

JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications cites this paper.

JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications InstructIE: A Bilingual Instruction-based Information Extraction Dataset

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-07-01T17:05:51.159026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-29T04:11:05.226043Z digest=sha256:1f74f90c9a4667bbf37a8691f7136e6dfa7ad28e47d1dd8e4b49a1b38288e18e

Observation c8f5ca1d-7284-4f9d-8784-09a9c0d31c3c · inbound

JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications cites this paper.

JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications InstructIE: A Bilingual Instruction-based Information Extraction Dataset

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-06-30T09:44:37.201892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-30T09:43:58.385814Z digest=sha256:cb794fe138bc2afebd929d9b6d0b25643bb23f09d6f0ed79819be4c08472f531

Observation 0ce615c0-2e3d-4912-8fa4-80e69c5326c3 · inbound

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text cites this paper.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text InstructIE: A Bilingual Instruction-based Information Extraction Dataset

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-02T13:37:01.509493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T13:37:01.509493Z digest=sha256:83bacc475977220bb6595fe703b9c5e4bf7385ce41cb7e527ab89c9f377416c5