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Paper Citation Record · LEDGER

Transformer Neural Autoregressive Flows

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.01855.

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

pith.paper-citation-record.v1
2401.01855 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:52:21.588075Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:24:31.260532Z

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 ce77993b-b415-4d86-9fea-e8b343c77913 · inbound

Normalizing Flows are Capable Generative Models cites this paper.

Normalizing Flows are Capable Generative Models Transformer Neural Autoregressive Flows

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T19:52:21.588075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:52:21.588075Z digest=sha256:2df399ae8b4ce45949452350e1f4bab7746d7335436297f2c03c525f7159edb9

Observation 7495996a-bb6e-4d56-b59e-0e23dca13292 · inbound

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows cites this paper.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Transformer Neural Autoregressive Flows

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:24:31.285471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T21:24:25.397582Z digest=sha256:2a36a6a559483d5f791c6fe5b8f8fcdca6a102ee5702249df63c793c6bb090a8