Paper Citation Record · LEDGER

Patient Knowledge Distillation for BERT Model Compression

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:1908.09355.

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

pith.paper-citation-record.v1
1908.09355 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:57:25.814259Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T21:17:35.850483Z

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 b50a58fd-6a2e-4d9d-b589-059f7575d5b6 · inbound

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

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Patient Knowledge Distillation for BERT Model Compression

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T12:26:58.120212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a64d7f3e-7630-4f18-9fc8-1525884bf3e0 · inbound

Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed cites this paper.

Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Patient Knowledge Distillation for BERT Model Compression

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T03:56:19.902215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 53667ac5-4a18-447c-846b-fd3c0643f1c1 · inbound

BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts cites this paper.

BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts Patient Knowledge Distillation for BERT Model Compression

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T17:57:25.814259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dc69456-7829-440e-b0f6-71fb2c3370e2 · inbound

MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual Learning cites this paper.

MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual Learning Patient Knowledge Distillation for BERT Model Compression

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T12:26:25.131696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a7de572-72d7-4a51-80b2-fa93d0779bc4 · inbound

Optimizing Knowledge Distillation in Transformers: Enabling Multi-Head Attention without Alignment Barriers cites this paper.

Optimizing Knowledge Distillation in Transformers: Enabling Multi-Head Attention without Alignment Barriers Patient Knowledge Distillation for BERT Model Compression

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T12:50:14.725290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ba242ea-e607-45c4-8656-c21c32ea2bf0 · inbound

Olica: Efficient Structured Pruning of Large Language Models without Retraining cites this paper.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Patient Knowledge Distillation for BERT Model Compression

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:39.455568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b38405d-135d-4eb8-af14-40f04c586881 · inbound

AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes cites this paper.

AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes Patient Knowledge Distillation for BERT Model Compression

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T00:13:34.333057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6672605b-9dc7-43f7-83da-6d37ccf146d8 · inbound

GenRecal: Generation after Recalibration from Large to Small Vision-Language Models cites this paper.

GenRecal: Generation after Recalibration from Large to Small Vision-Language Models Patient Knowledge Distillation for BERT Model Compression

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T23:57:25.971549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ad1efc8-5f6b-46c8-a46a-d5854f7f1441 · inbound

MiCoTA: Bridging the Learnability Gap with Intermediate CoT and Teacher Assistants cites this paper.

MiCoTA: Bridging the Learnability Gap with Intermediate CoT and Teacher Assistants Patient Knowledge Distillation for BERT Model Compression

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:22.171701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 427cc078-087e-4d6b-a1d0-186875127e40 · inbound

Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study cites this paper.

Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study Patient Knowledge Distillation for BERT Model Compression

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T13:22:47.217308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da3e02a0-b92f-4709-a7c2-6d2542017fcf · inbound

Model Compression vs. Adversarial Robustness: An Empirical Study on Language Models for Code cites this paper.

Model Compression vs. Adversarial Robustness: An Empirical Study on Language Models for Code Patient Knowledge Distillation for BERT Model Compression

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-19T00:01:55.914497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b9e07d11-0b8e-46a7-b308-b60e3ba51776 · inbound

TinyMusician: On-Device Music Generation with Knowledge Distillation and Mixed Precision Quantization cites this paper.

TinyMusician: On-Device Music Generation with Knowledge Distillation and Mixed Precision Quantization Patient Knowledge Distillation for BERT Model Compression

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T13:12:14.557846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59a2f1f3-0e4b-414a-9f2c-7b1e7f9e0058 · inbound

A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher? cites this paper.

A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher? Patient Knowledge Distillation for BERT Model Compression

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:50:31.924965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 49097048-3337-4c14-a86f-4948f7eaf24e · inbound

Structural Pruning of Large Vision Language Models: A Comprehensive Study on Pruning Dynamics, Recovery, and Data Efficiency cites this paper.

Structural Pruning of Large Vision Language Models: A Comprehensive Study on Pruning Dynamics, Recovery, and Data Efficiency Patient Knowledge Distillation for BERT Model Compression

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:56:14.132583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 44dd3aee-e895-49b9-a19f-10385be2c025 · inbound

Fast Text-to-Audio Generation with One-Step Sampling via Energy-Scoring and Auxiliary Contextual Representation Distillation cites this paper.

Fast Text-to-Audio Generation with One-Step Sampling via Energy-Scoring and Auxiliary Contextual Representation Distillation Patient Knowledge Distillation for BERT Model Compression

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:46:42.823215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bf0a0a9f-1388-4073-81df-6711eb51fc0f · inbound

Curriculum Learning-Guided Progressive Distillation in Large Language Models cites this paper.

Curriculum Learning-Guided Progressive Distillation in Large Language Models Patient Knowledge Distillation for BERT Model Compression

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:57:05.779234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1a3b452b-9c5c-4503-8765-bffb1dc09500 · inbound

NITP: Next Implicit Token Prediction for LLM Pre-training cites this paper.

NITP: Next Implicit Token Prediction for LLM Pre-training Patient Knowledge Distillation for BERT Model Compression

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T12:24:39.185969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 53bb5af7-8338-4776-b903-b170b661013b · inbound

NITP: Next Implicit Token Prediction for LLM Pre-training cites this paper.

NITP: Next Implicit Token Prediction for LLM Pre-training Patient Knowledge Distillation for BERT Model Compression

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:39:16.229372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d7be940a-e20c-4407-add2-74746e405e6a · inbound

NITP: Next Implicit Token Prediction for LLM Pre-training cites this paper.

NITP: Next Implicit Token Prediction for LLM Pre-training Patient Knowledge Distillation for BERT Model Compression

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T18:45:28.635910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c050cf69-5935-4071-9ffd-fdf07422f14b · inbound

Toward Calibrated, Fair, and accurate Deepfake Detection cites this paper.

Toward Calibrated, Fair, and accurate Deepfake Detection Patient Knowledge Distillation for BERT Model Compression

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-06-28T07:11:45.307920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation da0caf49-bae3-492c-aa3f-4097e546ee0b · inbound

Scaling Laws for Task-Specific LLM Distillation cites this paper.

Scaling Laws for Task-Specific LLM Distillation Patient Knowledge Distillation for BERT Model Compression

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T17:40:00.673237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f6820243-934d-4162-b0aa-614faeb69a46 · inbound

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG cites this paper.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Patient Knowledge Distillation for BERT Model Compression

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-12T05:47:14.970921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55f7a977-46e9-4096-a08e-95778e262110 · inbound

Enhancing deep learning models for time series classification via knowledge distillation cites this paper.

Enhancing deep learning models for time series classification via knowledge distillation Patient Knowledge Distillation for BERT Model Compression

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-07-10T21:17:35.864696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fd44600d-a514-43ac-ab1d-bc1b4840391a · inbound

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression cites this paper.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Patient Knowledge Distillation for BERT Model Compression

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T00:41:43.093855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7326ea17-1aee-4884-8c93-faf489794710 · inbound

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning cites this paper.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Patient Knowledge Distillation for BERT Model Compression

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T05:20:01.478142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.