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Paper Citation Record · LEDGER

A Practical Algorithm for Topic Modeling with Provable Guarantees

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1212.4777.

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

pith.paper-citation-record.v1
1212.4777 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:31:06.575252Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:06:58.680531Z

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 e363b979-d163-4700-81f3-0beff527b26f · inbound

Provable unlearning in topic modeling and downstream tasks cites this paper.

Provable unlearning in topic modeling and downstream tasks A Practical Algorithm for Topic Modeling with Provable Guarantees

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T17:31:06.575252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:31:06.575252Z digest=sha256:9be63ad7702a3aa7fca62a72586033d7b1bea69abe5987ebfc4405c6eb7ec19a

Observation cf866e82-cef3-41e3-85fd-93a68d9f2ebb · inbound

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality cites this paper.

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality A Practical Algorithm for Topic Modeling with Provable Guarantees

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:06:58.686057Z

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=2026-08-06T19:06:58.652697Z digest=sha256:5f5cf6f17bfb21e6d6c88d441df8ce779010fdc10519a9c26c2466851c79f832