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Paper Citation Record · LEDGER

AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1811.01727.

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

pith.paper-citation-record.v1
1811.01727 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:04:43.965251Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T05:51:25.229746Z

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 ef306e15-d2cb-4bd2-a5d8-1b056fbd2716 · inbound

Towards Robust Multi-tab Website Fingerprinting cites this paper.

Towards Robust Multi-tab Website Fingerprinting AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-10T17:04:05.830190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:04:05.830190Z digest=sha256:19cfe0a6835bc3825acb0b84de01ea14a5c815b22e3955254478cbf04257573e

Observation fe43b011-5456-467c-8695-11d63ca9e00d · inbound

Adaptive Thresholding for Multi-Label Classification via Global-Local Signal Fusion cites this paper.

Adaptive Thresholding for Multi-Label Classification via Global-Local Signal Fusion AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T00:04:43.965251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:04:43.965251Z digest=sha256:6568d8000cac26899f665f6ec933d350b0ecb1bbfb26750a5fbf5173371305c9

Observation 624f1796-e198-4a2b-b06f-587637e457b9 · inbound

An Annotation Scheme and Classifier for Personal Facts in Dialogue cites this paper.

An Annotation Scheme and Classifier for Personal Facts in Dialogue AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:51:25.235151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T04:53:28.491889Z digest=sha256:048209c2718db026fff7ca33ccc105a49104b40387d5b3bd445a2f98f8d773dd