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Paper Citation Record · LEDGER

Lifelong Generative Modeling

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1705.09847.

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

pith.paper-citation-record.v1
1705.09847 v7

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:00:27.196666Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:20:39.149430Z

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 d252c602-1a40-4367-961e-8290afe96597 · inbound

Online Continual Learning with Maximally Interfered Retrieval cites this paper.

Online Continual Learning with Maximally Interfered Retrieval Lifelong Generative Modeling

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-14T14:00:27.196666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:00:27.196666Z digest=sha256:40ae145c72f5cf574aa041f719bc20ab38066da06cc0457bb03e2633230b21ec

Observation 18a858b2-de7f-4dab-856b-2308f94a2200 · inbound

Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model cites this paper.

Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model Lifelong Generative Modeling

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:20:39.158664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T20:20:38.930254Z digest=sha256:5541b1d1bc598991a7832884d89cd20cc4efbdf11be0f7134019bd5fac4ef0fa