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Paper Citation Record · LEDGER

Topic Modelling Meets Deep Neural Networks: A Survey

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2103.00498.

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

pith.paper-citation-record.v1
2103.00498 v1

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 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:25:22.890076Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:33:49.758665Z

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 3feb353d-4dae-4e2e-813f-cc2a3d8ae58c · inbound

Recommending the right academic programs: An interest mining approach using BERTopic cites this paper.

Recommending the right academic programs: An interest mining approach using BERTopic Topic Modelling Meets Deep Neural Networks: A Survey

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T21:05:00.324769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:05:00.324769Z digest=sha256:da10acd9035852cb901d7cb02f20603a4827b6e7eab629ee965e7b3dd90327e3

Observation 8dc782e6-c142-4b9c-b20e-f8f5063e0657 · inbound

FinTextSim: Enhancing Financial Text Analysis with BERTopic cites this paper.

FinTextSim: Enhancing Financial Text Analysis with BERTopic Topic Modelling Meets Deep Neural Networks: A Survey

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-16T11:25:22.890076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:25:22.890076Z digest=sha256:3f6304e0353983630109d56b48fc5fb0cbbe1d62c5d9b4298b91f7f49f005c27

Observation f83fc67c-3251-4fcc-b4a0-5865e78631eb · inbound

Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics cites this paper.

Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics Topic Modelling Meets Deep Neural Networks: A Survey

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:16.190572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:04:16.190572Z digest=sha256:3b20f40a513ab412701c905b2a780a86a991a6f0e6637efb1aac6a9ec0b1f52d

Observation 4ae8177b-d0b9-4edf-97e9-2b0947e85d26 · inbound

Agentic Retrieval of Topics and Insights from Earnings Calls cites this paper.

Agentic Retrieval of Topics and Insights from Earnings Calls Topic Modelling Meets Deep Neural Networks: A Survey

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:33:49.852096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T18:33:47.577888Z digest=sha256:80e6be3ea2d47636a3814ce51f5793cf8cbcd9cb37521707dd0605f469c2cc27