Paper Citation Record · LEDGER

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits

As of 19 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2505.10202.

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

pith.paper-citation-record.v1
2505.10202 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:18:24.529671Z

measured 31 of 31 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:26:51.707959Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T12:16:17.039197Z

Reference resolution

30 of 30 outbound references displayed

verified exact0
verified fuzzy1
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 42cc6d94-4609-4d44-af61-e0f1d3a07d91 · outbound

This paper cites online" 'onlinestring :=.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits online" 'onlinestring :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:24.410534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eeca735-24d4-420f-aa88-e8839e4f4712 · outbound

This paper cites write newline.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:24.415315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5affab7c-02f8-4359-9bdc-4d0389aafd3c · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:24.419564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6562826-835e-4420-b3f7-535d633cb34b · outbound

This paper cites Language Models are Few-Shot Learners.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Language Models are Few-Shot Learners

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:24.423831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9d12b2d-6095-442b-8cf7-8dba9dd7b590 · outbound

This paper cites an unresolved cited work.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:18:24.955317Z

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.

Observation f3898a5a-ab0e-4e79-b04a-9d1e78c971ce · outbound

This paper cites The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:24.431797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4e643f3-a78c-4f89-a42b-3e4f38c817e1 · outbound

This paper cites an unresolved cited work.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:18:24.942743Z

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.

Observation fd25c665-8c3c-4559-900f-b8fde3c5d6b5 · outbound

This paper cites Learning both Weights and Connections for Efficient Neural Networks.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Learning both Weights and Connections for Efficient Neural Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:24.440824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57d39289-d7b9-4761-bb0b-ea05bc7cba95 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Distilling the Knowledge in a Neural Network

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:24.444996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03b2c2cd-262b-4044-88d7-579d2c4c31c7 · outbound

This paper cites Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:24.448944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2432bd2-474c-41da-98cd-e3de97385433 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Categorical Reparameterization with Gumbel-Softmax

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:24.453654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82dc74e3-94ca-4ab0-b8dd-4c0868a54a75 · outbound

This paper cites On Using Very Large Target Vocabulary for Neural Machine Translation.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits On Using Very Large Target Vocabulary for Neural Machine Translation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:24.457829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2ffcb63-6199-4ed6-b3eb-95f7d5245635 · outbound

This paper cites an unresolved cited work.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:24.461834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60dc7f77-d346-4827-9560-4340c40a6e82 · outbound

This paper cites an unresolved cited work.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:24.465579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68686b63-e9a9-4af6-93e3-535a579aab05 · outbound

This paper cites an unresolved cited work.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:18:24.932374Z

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.

Observation b62d7131-15f7-4890-9233-fb87a7807033 · outbound

This paper cites an unresolved cited work.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:18:24.920849Z

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.

Observation ce6043f8-3ae8-4bbd-8495-5b3be7817ab5 · outbound

This paper cites ALBERT: A Lite BERT for Self-supervised Learning of Language Representations.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:24.477241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fdaf91a-7873-4863-8bd6-1a85aa345b39 · outbound

This paper cites Decoupled Weight Decay Regularization.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Decoupled Weight Decay Regularization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:24.481301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1acafc8-4602-485c-8b85-d75248acf651 · outbound

This paper cites Marcus, Mary Ann Marcinkiewicz, and Beatrice Santorini.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Marcus, Mary Ann Marcinkiewicz, and Beatrice Santorini

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:18:24.909476Z

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.

Observation c71c33e3-32b2-4ba7-8552-6f3ce7570207 · outbound

This paper cites an unresolved cited work.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:18:24.897468Z

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.

Observation 206e5a89-8bec-49b8-9322-739afc69e249 · outbound

This paper cites an unresolved cited work.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:18:24.886287Z

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.

Observation ade839bf-7dc1-4e10-a3de-b69a70a8379b · outbound

This paper cites an unresolved cited work.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:18:24.874564Z

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.

Observation 46fd6e34-9419-4b17-babe-e9de3a422573 · outbound

This paper cites an unresolved cited work.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:18:24.862645Z

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.

Observation 21f0a68b-5512-4002-a069-a285804686f2 · outbound

This paper cites GPT-4 Technical Report.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits GPT-4 Technical Report

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:24.505437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31439218-63a7-420d-878b-96dc8ae91ca7 · outbound

This paper cites Using the Output Embedding to Improve Language Models.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Using the Output Embedding to Improve Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:24.509783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e902cf1-78ba-458b-bd1f-4390ab8179d8 · outbound

This paper cites an unresolved cited work.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:24.514648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36d1912d-5019-41e7-9cd4-5853cb9d1492 · outbound

This paper cites an unresolved cited work.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:24.518967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90fe15cc-ea6c-4dab-af39-bd0805568e17 · outbound

This paper cites Sainath, Brian Kingsbury, Bhuvana Ramabhadran, Petr Fousek, Petr Novak, and Abdel - rahman Mohamed.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Sainath, Brian Kingsbury, Bhuvana Ramabhadran, Petr Fousek, Petr Novak, and Abdel - rahman Mohamed

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:24.522661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2d0dcd4-94a0-4d09-af79-1cfad88b2e17 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:24.526083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c73622d5-412a-4697-9a0e-302c54b3f22d · outbound

This paper cites Neural Discrete Representation Learning.

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits Neural Discrete Representation Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:24.529671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 985d0610-4d2d-4a68-92e6-acb10f7dc5cf · inbound

SoftWater: Class-Aware Rate Allocation for Softmax Quantization cites this paper.

SoftWater: Class-Aware Rate Allocation for Softmax Quantization VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits

Reference 52

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T00:26:52.160396Z

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.