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Paper Citation Record · LEDGER

A Decomposable Attention Model for Natural Language Inference

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1606.01933.

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

pith.paper-citation-record.v1
1606.01933 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:31:41.207419Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T20:46:21.663715Z

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 2c6ce5da-3e09-4993-a9ea-99ab96153ea3 · inbound

Universal Transformers cites this paper.

Universal Transformers A Decomposable Attention Model for Natural Language Inference

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T08:04:31.471147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T08:04:31.337298Z digest=sha256:c32c9fc9534558148fcba87da2f5786389e349e6b7a98e30d905701976fe2436

Observation 1eb0810c-b672-40d5-8b83-0c1cbc4da4b7 · inbound

Fake News Detection as Natural Language Inference cites this paper.

Fake News Detection as Natural Language Inference A Decomposable Attention Model for Natural Language Inference

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-05-24T20:46:21.666392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-24T20:46:10.915616Z digest=sha256:ef616badb3b678ecd7de9af70ea671e3871a730237919041586d81f69f4b1aad

Observation a264a181-f824-4cd3-9b06-f24be5a98d1f · inbound

Deep Learning Based Chatbot Models cites this paper.

Deep Learning Based Chatbot Models A Decomposable Attention Model for Natural Language Inference

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-14T11:31:41.207419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:31:41.207419Z digest=sha256:e51701cb4b33903caa51d6b3d313db7b2f16e390f029552f98788b7062ec187e

Observation 6c49edc1-d1ab-4c04-a72e-b3405ed0d428 · inbound

Knowledge Enhanced Attention for Robust Natural Language Inference cites this paper.

Knowledge Enhanced Attention for Robust Natural Language Inference A Decomposable Attention Model for Natural Language Inference

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-14T06:05:51.394960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T06:05:51.394960Z digest=sha256:7e3d6ebc86180047259ccb6432901dce51e3d2b8a09c4c39a976f44b86c652fc

Observation e4b57c4e-ebe5-4f5d-933c-f6e4f74079b5 · inbound

Self-Attentive Adversarial Stain Normalization cites this paper.

Self-Attentive Adversarial Stain Normalization A Decomposable Attention Model for Natural Language Inference

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-14T05:08:03.429279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:08:03.429279Z digest=sha256:2de67a87371f1df9598d56b653e9a731d34dc89b5590df2d0fe0a53bac766ffd

Observation d7e64205-c788-4ae7-bef2-003a4450e0fc · inbound

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning cites this paper.

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning A Decomposable Attention Model for Natural Language Inference

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T16:58:26.169469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:58:26.169469Z digest=sha256:b267ea6beffe134db31579b034c35b05ae420a9417718f2d930a89a463fc052f

Observation 762d10cc-7a91-4ae0-876c-a8205bff4db4 · 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 A Decomposable Attention Model for Natural Language Inference

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T04:34:14.601763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:34:14.601763Z digest=sha256:699c3a47d8e083e64217deab3d36fc34b1f7e1c3362e6422837f9e6104d267b7

Observation 0b3c3744-0b45-4b0d-a22a-bbd25b2b1666 · inbound

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation cites this paper.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation A Decomposable Attention Model for Natural Language Inference

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T04:45:20.481035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:45:20.481035Z digest=sha256:108cfe12f1043370f7dd8548a2f731e040809c93585c0196d6fcf69d1de463d1

Observation 324ecffa-6199-4659-b584-005572093fe5 · inbound

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision cites this paper.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision A Decomposable Attention Model for Natural Language Inference

Reference 122

Resolution
unresolved
no resolver link, observed 2026-08-10T16:32:15.332292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:32:15.332292Z digest=sha256:c8f21d58231d1ff9791eec67b8f0537d0da6306e1f8e17f036b68d3b6d4490fe

Observation 70b0ef1b-a50b-410a-b72c-ad77a01f87d8 · inbound

Exponential Family Attention cites this paper.

Exponential Family Attention A Decomposable Attention Model for Natural Language Inference

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T10:46:25.753692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:46:25.753692Z digest=sha256:588287d8bae176ade68aa3f06c0e41b92987500c664b1c66aba8265fc62f455a