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Paper Citation Record · LEDGER

Natural Language Processing Advancements By Deep Learning: A Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2003.01200.

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

pith.paper-citation-record.v1
2003.01200 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:40:38.772933Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:01:28.512786Z

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 d148883a-5067-411f-a973-122d444c79c8 · inbound

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights cites this paper.

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Natural Language Processing Advancements By Deep Learning: A Survey

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T15:40:38.772933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:40:38.772933Z digest=sha256:f69c84ec879b9485af1948ad759a7772359997ae04fbbcf806dc757ca594c3a0

Observation 50fc6120-7878-4e48-8df4-54fb416fa4a4 · inbound

Detoxify: A framework for abusive text transformation using LLMs cites this paper.

Detoxify: A framework for abusive text transformation using LLMs Natural Language Processing Advancements By Deep Learning: A Survey

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T17:41:34.968772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:34.968772Z digest=sha256:3330c18a06bc011b37132ab70520f88cd1d331219422969b5123e6a2aa5d8e47

Observation b2bf72ba-d333-49b8-b159-ca51b3e5aeec · inbound

Survey on Disaster Management Datasets for Remote Sensing Based Emergency Applications cites this paper.

Survey on Disaster Management Datasets for Remote Sensing Based Emergency Applications Natural Language Processing Advancements By Deep Learning: A Survey

Reference 185

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:01:28.519949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T01:24:46.294409Z digest=sha256:b2aa085ae3984a62b1c9cf7bcece9b22c23563a94e5bafbc5988bc9264f2000b

Observation 5f830dfd-677d-4c8c-b45b-76e75622e2ab · inbound

How Context Attribution Handles What the Model Already Knows cites this paper.

How Context Attribution Handles What the Model Already Knows Natural Language Processing Advancements By Deep Learning: A Survey

Reference 212

Resolution
unresolved
no resolver link, observed 2026-07-30T12:03:29.894754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T12:03:29.894754Z digest=sha256:3bcd5299522be2f01a444adde190a3c095d51fcafc4678717604febf9708c435