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Paper Citation Record · LEDGER

Enhanced LSTM for Natural Language Inference

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1609.06038.

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

pith.paper-citation-record.v1
1609.06038 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:34:14.513600Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T00:46:30.533388Z

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 1adf7aac-5b89-493f-a352-dcad4cb78e07 · inbound

To Tune or Not To Tune? How About the Best of Both Worlds? cites this paper.

To Tune or Not To Tune? How About the Best of Both Worlds? Enhanced LSTM for Natural Language Inference

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-25T00:46:30.537243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-25T00:45:10.865484Z digest=sha256:5840e2cc437c32c8d57ab9ff3271ad0c0330fb5f93e3def555acbeb851f79320

Observation afdf6c4d-60e4-4c6c-90dd-4518d4a76f72 · inbound

Fake News Detection as Natural Language Inference cites this paper.

Fake News Detection as Natural Language Inference Enhanced LSTM for Natural Language Inference

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-24T20:46:21.633923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T20:46:10.915616Z digest=sha256:0b58fb44d7ed4127b8b3f498b78241989bbddc0bc576b6416aee23ac566aa571

Observation 74bf6b10-d955-4e66-b19d-67bbeb0d809b · inbound

PubMedQA: A Dataset for Biomedical Research Question Answering cites this paper.

PubMedQA: A Dataset for Biomedical Research Question Answering Enhanced LSTM for Natural Language Inference

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:42:51.240311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-23T18:42:51.182937Z digest=sha256:8695ddcebe7c3e16c04e475b3da07772ce7de41d6a1b8f2b427505a4a4f92769

Observation c6d5dfee-8c42-440b-826f-fc6a1e6a023f · inbound

Bias in Large Language Models: Origin, Evaluation, and Mitigation cites this paper.

Bias in Large Language Models: Origin, Evaluation, and Mitigation Enhanced LSTM for Natural Language Inference

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:08:12.268462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T17:08:09.267577Z digest=sha256:ac182b8bbfb3b80e48d81f43d8042c7f5019e1e845a094945a483f3af6cdc8a7

Observation 46f31265-4158-4ce1-878d-b0f4b3b9abc6 · inbound

CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search cites this paper.

CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search Enhanced LSTM for Natural Language Inference

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T04:34:14.513600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:34:14.513600Z digest=sha256:22e4dfeca1eac68281a3d981de723edaceea4ddf6d6e2de21c82909cf4afdd9f

Observation 10cb47c8-876b-47aa-ba28-1fd991a26e69 · inbound

Comateformer: Combined Attention Transformer for Semantic Sentence Matching cites this paper.

Comateformer: Combined Attention Transformer for Semantic Sentence Matching Enhanced LSTM for Natural Language Inference

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T19:03:04.326631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:03:04.326631Z digest=sha256:f0e0440ca8c3242d851d5f78784a30c99d3340f31d4c81a1a0ea45d7c9bdf613

Observation 45bca7e1-603d-4084-a296-dcaab66ea4f4 · inbound

Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting cites this paper.

Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting Enhanced LSTM for Natural Language Inference

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T17:33:04.862297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:33:04.862297Z digest=sha256:8a0482f178c79d40f82306c312309f301e7f64bff54c7b0bbc5ca27ed06d5478

Observation 18c1400a-d0eb-47f6-ac84-19d653b48a3a · inbound

Adversarial Text Generation with Dynamic Contextual Perturbation cites this paper.

Adversarial Text Generation with Dynamic Contextual Perturbation Enhanced LSTM for Natural Language Inference

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T05:00:56.854471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:00:56.854471Z digest=sha256:2f0a3666e2f5aa3e2c9c789f8b15853ae060de9119c0ef32bdbd9be1672097b8

Observation b2cc700a-b944-43fe-95f0-a4fdcb74ca89 · inbound

Multi-Granularity Reasoning for Natural Language Inference cites this paper.

Multi-Granularity Reasoning for Natural Language Inference Enhanced LSTM for Natural Language Inference

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-12T19:07:54.710156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T19:07:54.710156Z digest=sha256:8a9ade3959c7259a0c0425da0641c809ea904c837004f38f7ec6019f40367619