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Paper Citation Record · LEDGER

Vector Quantized Wasserstein Auto-Encoder

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.05917.

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

pith.paper-citation-record.v1
2302.05917 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:16:55.686695Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T22:05:06.170392Z

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 147ccab7-7070-48d5-8c24-1629c8a0ea36 · inbound

Task-Driven Discrete Representation Learning cites this paper.

Task-Driven Discrete Representation Learning Vector Quantized Wasserstein Auto-Encoder

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T04:16:55.686695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:16:55.686695Z digest=sha256:b5ce25bfaa9f76a2192c9369140c668f699ed7118a9ebe844f2f615a74414b72

Observation 91ad0956-51cc-474e-9551-c62fce3e594c · inbound

ArcVQ-VAE: A Spherical Vector Quantization Framework with ArcCosine Additive Margin cites this paper.

ArcVQ-VAE: A Spherical Vector Quantization Framework with ArcCosine Additive Margin Vector Quantized Wasserstein Auto-Encoder

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:12:55.332404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T20:11:48.315691Z digest=sha256:880f928f8a8f537d748cfc46c6d34469b95f6afd0503908ee6942e3e968fd9e3

Observation 98a747d5-1863-4559-a3ae-56c4e11d1fda · inbound

ArcVQ-VAE: A Spherical Vector Quantization Framework with ArcCosine Additive Margin cites this paper.

ArcVQ-VAE: A Spherical Vector Quantization Framework with ArcCosine Additive Margin Vector Quantized Wasserstein Auto-Encoder

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-30T22:05:06.172006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T21:55:49.709945Z digest=sha256:c42853b227f351ec1d620280f062e93dadb74e7557d59ddbb3622f62d26a9848