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Paper Citation Record · LEDGER

Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1807.04629.

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

pith.paper-citation-record.v1
1807.04629 v4

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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:06:33.813706Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:03:05.192807Z

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 1b0c4b53-9e8a-4d5d-aa57-c50a3a06a7cb · inbound

Unsupervised Neural Quantization for Compressed-Domain Similarity Search cites this paper.

Unsupervised Neural Quantization for Compressed-Domain Similarity Search Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-14T14:06:33.813706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:06:33.813706Z digest=sha256:d695e6d336c2376713bd0fd3c1062ee3b77ae7c925280fa17530ae8196401f44

Observation a77e9f24-19bb-4703-96bf-b8cd0e2a64b6 · inbound

Cross-Layer Discrete Concept Discovery for Interpreting Language Models cites this paper.

Cross-Layer Discrete Concept Discovery for Interpreting Language Models Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval

Reference 39

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T23:03:05.196889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T23:03:05.039542Z digest=sha256:862c6a16c6168a826b5b02cd5e303fc449c67e860ac9a28b87d169127a207009