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Paper Citation Record · LEDGER

Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery

As of 8 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2602.02726.

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

pith.paper-citation-record.v1
2602.02726 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:20:47.129769Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved14
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ff8cd63e-bd58-4dfb-a9cd-f1fd36401481 · outbound

This paper cites an unresolved cited work.

Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T05:20:46.048515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:20:46.048515Z digest=sha256:602761165212ef7d8fe7d03eda8a9806a55f062bf2aa2b76e02331b2c8c106b9

Observation 74d9553c-bd6a-465f-b81d-d701ab06f8a2 · outbound

This paper cites configuration.

Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery configuration

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T05:20:46.108231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:20:46.108231Z digest=sha256:2e34ade3b0c4be85f55a760054b5615422641922ccde00a82e38c38e6dbdf1f1

Observation 4ca1e4f9-1f1c-4fdf-8b59-d917b475e03f · outbound

This paper cites idiot",.

Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery idiot",

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T05:20:46.260865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:20:46.260865Z digest=sha256:6c270c699428cc06446ba85aa0a000c9a25f8145057f1a78da7a8e2c54454117

Observation 13774431-d487-4de4-ac6f-5a6bc06bf14a · outbound

This paper cites an unresolved cited work.

Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T05:20:45.812981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:20:45.812981Z digest=sha256:8f7466dd06ed28e036ec94bf084acf55a6828fb495e0c160ab66a7375638de1c

Observation 144b87e5-b3fb-4833-9f2d-c5783758dd83 · outbound

This paper cites article",.

Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery article",

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-03T05:20:46.570579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:20:46.570579Z digest=sha256:9e1f0cb05137c8d13a76c36ebcb69471221cc72220ffc5632985e9474c30cc3b

Observation c6211b8e-f4a0-4b67-bfbb-f8666b6e16a4 · outbound

This paper cites These explain nothing.

Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery These explain nothing

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-03T05:20:46.883270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:20:46.883270Z digest=sha256:b9e64f546d97104336a181c69fa5e02cd6bf2c63fe304a8c6082a9966480a128

Observation 4294bda4-5d1d-4120-be13-c067feadeb05 · outbound

This paper cites an unresolved cited work.

Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-03T05:20:46.999384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:20:46.999384Z digest=sha256:b7c9d0bb1871fbfffc0ffc754fa808c0087a68f7003e7407e2df2c41feff4b0d

Observation 81436800-9cd3-4f44-acf5-12f30f926fdf · outbound

This paper cites kill", "love.

Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery kill", "love

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T05:20:47.087016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:20:47.087016Z digest=sha256:3dc44fbe83f58f4bea65fdeae28735b780e59f31682bca6b8948df34c9f7650f

Observation b4bd89c6-e829-43b7-835c-f1b3d93da4a2 · outbound

This paper cites Google IPO.

Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery Google IPO

Reference 22

Resolution
malformed identifier
no resolver link, observed 2026-08-03T05:20:47.129769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:20:47.129769Z digest=sha256:f044b03e9ade57753463f1c6a0a92b4214dd1d6bad0a2613ec1d7fc2dc2619ee

Observation b548a272-32cc-4b59-a84c-10fb965b0d34 · outbound

This paper cites COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks.

Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks

Reference 323

Resolution
unresolved
no resolver link, observed 2026-08-03T05:20:45.736201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:20:45.736201Z digest=sha256:5b4f09f612d9ed86b2368b4061db9fb0b4f0fedbb17515ae9505361109e21877

Observation e828579d-330d-4e10-b04e-f77c29c36578 · outbound

This paper cites Fast Decoding in Sequence Models using Discrete Latent Variables.

Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery Fast Decoding in Sequence Models using Discrete Latent Variables

Reference 692

Resolution
malformed identifier
no resolver link, observed 2026-08-03T05:20:45.992697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:20:45.992697Z digest=sha256:8f01b228b6c97cfba1b3cdf747fae9cd4129b32b43cae5a3683efb471ca370ce

Observation 514b91c9-0dcf-4e44-bd31-020c9d34f5dc · outbound

This paper cites Vector-quantized Image Modeling with Improved VQGAN.

Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery Vector-quantized Image Modeling with Improved VQGAN

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-03T05:20:45.925083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:20:45.925083Z digest=sha256:2374ea39a3d3e4e3f5f15eb9822783aa1a71824fe8de06c79dad09a6ddb9c5d2

Observation 9af2d358-b50f-4c8d-be35-8872b69cbc44 · outbound

This paper cites How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings.

Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-03T05:20:45.575670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:20:45.575670Z digest=sha256:5e2df3eb4567cc716caf5e4d4044f961bd1303098209187cd3ceee25fcc8a9da

Observation 3df8b6d1-4b07-44c5-a715-7cee1a8acd9c · outbound

This paper cites Dalvi, F., Durrani, N., and Sajjad, H.

Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery Dalvi, F., Durrani, N., and Sajjad, H

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-03T05:20:45.498607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:20:45.498607Z digest=sha256:ee1f4033de2d086a4b2940a35f4bcb6126a7f8a836f092d4e8204782ab9d6dfd

Observation 4a92f6d2-2318-443e-8fec-98c96fd36ad2 · outbound

This paper cites Neural Discrete Representation Learning.

Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery Neural Discrete Representation Learning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T05:20:45.869541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:20:45.869541Z digest=sha256:0145f799446c81e6c46cb3099b11575b64f69bbdac0bbccda8f975dcc99b5e2e

Observation 47c1ae29-3110-44d8-9bc8-7eabecdf391f · outbound

This paper cites Towards Accurate Image Coding: Improved Autoregressive Image Generation with Dynamic Vector Quantization.

Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery Towards Accurate Image Coding: Improved Autoregressive Image Generation with Dynamic Vector Quantization

Reference 2799

Resolution
unresolved
no resolver link, observed 2026-08-03T05:20:45.648766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:20:45.648766Z digest=sha256:abfdd2644c97624283935185c9c6431a2f7c03feab44217a712bd535dfd4bc74

Pith citing papers

No inbound Pith citation observations are available.