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Paper Citation Record · LEDGER

Relation Classification via Recurrent Neural Network

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1508.01006.

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

pith.paper-citation-record.v1
1508.01006 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:43:12.434597Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T18:54:22.337028Z

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 bfdc0418-9468-4c7b-82e5-bf20c2479aa6 · inbound

Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning cites this paper.

Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning Relation Classification via Recurrent Neural Network

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-14T11:43:12.434597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:43:12.434597Z digest=sha256:b53a58fb4c6aba31ea05d95a7962cfece28d3b5c1480563a9da4e6ec0873b18b

Observation 42059a5b-4c51-4778-a54f-29a4b899493a · inbound

An Improved Neural Baseline for Temporal Relation Extraction cites this paper.

An Improved Neural Baseline for Temporal Relation Extraction Relation Classification via Recurrent Neural Network

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-14T05:55:26.872244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:55:26.872244Z digest=sha256:c61171c6d97093864e522028331210d9f68c2f22897b050367a06d321b0539f5

Observation 2365fa14-cced-4e28-a9d1-7143d2a59cd7 · inbound

A survey on cutting-edge relation extraction techniques based on language models cites this paper.

A survey on cutting-edge relation extraction techniques based on language models Relation Classification via Recurrent Neural Network

Reference 148

Resolution
unresolved
no resolver link, observed 2026-08-12T11:29:40.818474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:29:40.818474Z digest=sha256:e06d594b37fc9e467273990160647cb092b723bbb35731bffed619b7f1c22520

Observation d8bd1a69-f840-48ba-af4f-9f822cc6dc2c · 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 Relation Classification via Recurrent Neural Network

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-09T00:35:28.533925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.533925Z digest=sha256:b0833e556ca3f76e34414c16be0c666e0ebdd5d0fd1530172ab16b42eeebbb7d

Observation 2b40552d-5c77-4e5d-bb0d-3107905babc6 · inbound

Extracting Structured Requirements from Unstructured Building Technical Specifications for Building Information Modeling cites this paper.

Extracting Structured Requirements from Unstructured Building Technical Specifications for Building Information Modeling Relation Classification via Recurrent Neural Network

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-08-05T18:54:22.446215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T18:54:17.486152Z digest=sha256:8f6fb3ea23144c6822bb721e896deab7463ba0db653359372555baaf45b44356

Observation fd7f6600-fe46-4f4c-8aaf-dc8ca82cec6b · inbound

MR-UIE: Multi-Perspective Reasoning with Reinforcement Learning for Universal Information Extraction cites this paper.

MR-UIE: Multi-Perspective Reasoning with Reinforcement Learning for Universal Information Extraction Relation Classification via Recurrent Neural Network

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-04T19:48:25.965994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:48:25.965994Z digest=sha256:e1dfe39653918c325443d457e8a6aab8c629bd41813a375a27cb5f7ecee1892a