Pith. sign in

Paper Citation Record · LEDGER

Improving Sentence-Level Relation Extraction through Curriculum Learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2107.09332.

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

pith.paper-citation-record.v1
2107.09332 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:19:00.375554Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T14:41:41.117611Z

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 ba7f610e-dd8e-4298-9efa-ea61753695e5 · inbound

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction cites this paper.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction Improving Sentence-Level Relation Extraction through Curriculum Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T22:19:00.375554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:19:00.375554Z digest=sha256:ec555b790f166ff289d3a555eeecb3089dfe58d9499296be7fa5ecf9d8a946c7

Observation 1618bcdb-a36c-40b8-ae34-29dc2d036a8d · inbound

Re-Representation in Sentential Relation Extraction with Sequence Routing Algorithm cites this paper.

Re-Representation in Sentential Relation Extraction with Sequence Routing Algorithm Improving Sentence-Level Relation Extraction through Curriculum Learning

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:41:41.123306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:41:40.746876Z digest=sha256:2ac6ef7389f3c6753acc6e4ec84b541202cc6b0b503059dd941ffc9dcf035a3f