Pith. sign in

Paper Citation Record · LEDGER

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment

As of 9 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 3 inbound Pith citation observations for arXiv:2507.15198.

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

pith.paper-citation-record.v1
2507.15198 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:42:59.797684Z

measured 29 of 29 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:08:47.458634Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:10:17.246189Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact3
  • verified fuzzy16
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aabe0523-5579-4c2c-a6d6-b5561dc339ff · outbound

This paper cites MiniLLM: On-Policy Distillation of Large Language Models.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment MiniLLM: On-Policy Distillation of Large Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:59.743747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:59.743747Z digest=sha256:aaf56da54df6975141d5f8a98dc5d5f00acf9a0deaaa096bc08e3c7313fa7def

Observation 5392c55c-035a-41ef-b384-6747ddd66d69 · outbound

This paper cites A Survey on Knowledge Distillation of Large Language Models.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment A Survey on Knowledge Distillation of Large Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:59.747227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:59.747227Z digest=sha256:f9d56203f180e7f69434b872f2e75af91c5e8c8f011332082db960231584ea22

Observation 151ae9ec-f691-4caf-a134-eb094fe66db1 · outbound

This paper cites Survey on knowledge distillation for large language models: methods, evaluation, and application,.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment Survey on knowledge distillation for large language models: methods, evaluation, and application,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:59.979806Z

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.

source=pdf_text observed=2026-08-06T15:42:59.750252Z digest=sha256:d52ccc648f6fe90a2a27f6826945c96a277dc50b622411bf472607a385954c4b

Observation 128daac1-eef3-4a21-8334-7be40932c032 · outbound

This paper cites Compact language models via pruning and knowledge distillation,.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment Compact language models via pruning and knowledge distillation,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:59.973478Z

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.

source=pdf_text observed=2026-08-06T15:42:59.752954Z digest=sha256:706fbf12bdbafbbdfb67fbfbb6835655d435c3b1536b485a5767ef0805458900

Observation d5562874-c192-42c6-90be-ea7aa96b1aac · outbound

This paper cites DDK: distilling domain knowledge for efficient large language models,.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment DDK: distilling domain knowledge for efficient large language models,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:59.966804Z

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.

source=pdf_text observed=2026-08-06T15:42:59.755481Z digest=sha256:94ad12f4560b110571d526c21fc090e62623ce21cdfc2d5c7f0437fe1e8f72b6

Observation 3a587bfb-e1dd-4d65-bbbb-24c1a3f8f89d · outbound

This paper cites Multi granularity structural knowledge distillation for language model compression,.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment Multi granularity structural knowledge distillation for language model compression,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:59.961037Z

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.

source=pdf_text observed=2026-08-06T15:42:59.757556Z digest=sha256:51f35164c62db35170852f5cce07279845a34226dd5e9c470e55cf28611959a4

Observation bb6883f3-31e2-42cb-b42b-06eb14afcb29 · outbound

This paper cites Dynamic Knowledge Distillation for Pre-trained Language Models.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment Dynamic Knowledge Distillation for Pre-trained Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:59.759535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:59.759535Z digest=sha256:5843dfc95cc32179470ea88a3439762734918f4c5c3d6e0fa81005adbd653649

Observation 0e9380e1-589f-4b78-94de-03739a5d220c · outbound

This paper cites Efficient compression of large language models with distillation and fine tuning,.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment Efficient compression of large language models with distillation and fine tuning,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:59.953495Z

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.

source=pdf_text observed=2026-08-06T15:42:59.761991Z digest=sha256:f65323de0b646f21e478080623c932b22ba66fa5fb1fc21def05674749b68704

Observation 6b558dae-9c22-4529-bc37-76fcd5a0e882 · outbound

This paper cites Structured Gradient Guidance for Few-Shot Adaptation in Large Language Models.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment Structured Gradient Guidance for Few-Shot Adaptation in Large Language Models

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:42:59.861454Z

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.

source=pdf_text observed=2026-08-06T15:42:59.763633Z digest=sha256:6bddeee03b09b2bd8163a2ba91d8adf4533963a9a65e1f2846baf556d931339b

Observation 876bdbfd-9523-43da-908f-a229350a547f · outbound

This paper cites Structuring low-rank adaptation with semantic guidance for model fine-tuning,.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment Structuring low-rank adaptation with semantic guidance for model fine-tuning,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:59.947900Z

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.

source=pdf_text observed=2026-08-06T15:42:59.765655Z digest=sha256:87b3056ea67aec97cdc836aec45c8dd298420b2dfe348eb5498abe9b033bb246

Observation c557cfa3-d4f3-49fa-983a-c79a9dc564de · outbound

This paper cites Integrating knowledge graph reasoning with pretrained language models for structured anomaly detection,.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment Integrating knowledge graph reasoning with pretrained language models for structured anomaly detection,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:59.941991Z

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.

source=pdf_text observed=2026-08-06T15:42:59.767252Z digest=sha256:47eb01858cda2a6b526b2548aff7307ecf5f0d4fbd8305e9f49be6efc7fb0388

Observation b5e7f2c6-9246-4bf1-9ce8-ed1c6f08165b · outbound

This paper cites Structured Memory Mechanisms for Stable Context Representation in Large Language Models.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment Structured Memory Mechanisms for Stable Context Representation in Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:59.768952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:59.768952Z digest=sha256:3fa091a3e322890e1b3e21b206d1bd801113426676ff478a7337e0f78c223675

Observation 0d329dd3-cfbc-4d89-add2-88dabe0e9263 · outbound

This paper cites Structured knowledge integration and memory modeling in large language systems,.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment Structured knowledge integration and memory modeling in large language systems,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:59.936268Z

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.

source=pdf_text observed=2026-08-06T15:42:59.771834Z digest=sha256:b8b564f428c8b458372071e282034a8dd0f90ac14553338e161f41055379ad7b

Observation bc3537fa-36a8-4fa6-ac4e-0a057f2eec63 · outbound

This paper cites Time-aware and multi-source feature fusion for transformer-based medical text analysis,.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment Time-aware and multi-source feature fusion for transformer-based medical text analysis,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:59.929348Z

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.

source=pdf_text observed=2026-08-06T15:42:59.773668Z digest=sha256:62d402f08dc2845c12e7ed8509c234951c59405b240e9cb6bbb2a3e513e48a91

Observation e2358702-3052-4113-a87e-5a53df2b4edb · outbound

This paper cites Structured preference modeling for reinforcement learning-based fine-tuning of large models,.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment Structured preference modeling for reinforcement learning-based fine-tuning of large models,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:59.922985Z

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.

source=pdf_text observed=2026-08-06T15:42:59.775280Z digest=sha256:d4b19c44a898dc8bf16a624ba005de58c24a67a8f6ba0959edb31d770b112965

Observation d6213767-45e5-4d10-a817-7ad1534f0e91 · outbound

This paper cites Graph-Based Spectral Decomposition for Parameter Coordination in Language Model Fine-Tuning.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment Graph-Based Spectral Decomposition for Parameter Coordination in Language Model Fine-Tuning

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:42:59.847183Z

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.

source=pdf_text observed=2026-08-06T15:42:59.777240Z digest=sha256:8cf8479700deac7cf8df507383edd32c31dce46184aa1f9cc91c18362e7704af

Observation 82e9ed15-bd0f-4514-932f-99007d8dd93f · outbound

This paper cites Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:42:59.838249Z

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.

source=pdf_text observed=2026-08-06T15:42:59.779466Z digest=sha256:dc66f058b30b0dba779978317aab53d6a5bbb434741fe1239068a80e0232f0c6

Observation da23d263-6bca-4ec1-a518-f787434912b0 · outbound

This paper cites Context-aligned and evidence-based detection of hallucinations in large language model outputs,.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment Context-aligned and evidence-based detection of hallucinations in large language model outputs,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:59.916735Z

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.

source=pdf_text observed=2026-08-06T15:42:59.781424Z digest=sha256:5515507061538847cedca6039688d5a9756c173eff787c725c2f83c836f37d4c

Observation 44f895e1-cdad-4e44-84f2-9897e592aaa6 · outbound

This paper cites Transfer methods for large language models in low-resource text generation tasks,.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment Transfer methods for large language models in low-resource text generation tasks,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:59.908847Z

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.

source=pdf_text observed=2026-08-06T15:42:59.783104Z digest=sha256:24b3d6009851e905d373d5fba28bab7f6e8f26783c358f0c8d21d9abd94ccd5a

Observation 5c11e94a-8f11-432a-beb2-bb04710a011e · outbound

This paper cites Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:59.784969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:59.784969Z digest=sha256:4bca7c15f764a0887fc709b8d1534e9842cb24173aae5b22f26a195bd83b5f7d

Observation 7e6a0827-24e7-4dc6-ae91-3982066bbb7b · outbound

This paper cites Perception-guided structural framework for large language model design,.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment Perception-guided structural framework for large language model design,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:59.902495Z

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.

source=pdf_text observed=2026-08-06T15:42:59.786801Z digest=sha256:37d191c473e96ce6c1fb08a0332199ab29fe4d2bd1a38c8597c38b3e982efe66

Observation 5290e5fc-e5ae-4ded-9064-19de3cfe8ccc · outbound

This paper cites A deep learning-based predictive framework for backend latency using AI-augmented structured modeling,.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment A deep learning-based predictive framework for backend latency using AI-augmented structured modeling,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:59.896507Z

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.

source=pdf_text observed=2026-08-06T15:42:59.788371Z digest=sha256:cab3feea263e642dafe9c7d8a527d492fc76ec298c6cda0ec724ca3a0bbf8df3

Observation f213d2be-3a68-4035-8326-733f47f762ef · outbound

This paper cites TinyBERT: Distilling BERT for Natural Language Understanding.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment TinyBERT: Distilling BERT for Natural Language Understanding

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:59.790511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:59.790511Z digest=sha256:a25ebc06fbd63c5c7a0d2e805962e901e70b24e8af24714b5b0ed886547f0116

Observation 59cbeb65-13c7-415c-bf99-304e7647a72b · outbound

This paper cites MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:59.793265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:59.793265Z digest=sha256:413e27ebd59b977eb5bf64de201e5d835a35eefa39ff3900e85070e85b62496f

Observation c0c4dd01-c782-4ed3-b868-8fb1a547098d · outbound

This paper cites MiniLM: deep self-attention distillation for task-agnostic compression of pre-trained transformers,.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment MiniLM: deep self-attention distillation for task-agnostic compression of pre-trained transformers,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:59.889835Z

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.

source=pdf_text observed=2026-08-06T15:42:59.795578Z digest=sha256:6d890c64b03fb7574fdd2b6ff35fe87311d5dcd0c72f65317797c62d462aabd0

Observation fc3cf48f-ddce-4360-b5fd-b4698528546c · outbound

This paper cites Decoupled knowledge distillation,.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment Decoupled knowledge distillation,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:59.883480Z

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.

source=pdf_text observed=2026-08-06T15:42:59.797684Z digest=sha256:08f7c96f90f15a51bb638f1d9f222ce9c2403855a0314d3f10aba1c207047fc3

Pith citing papers

Observation a24e37f5-0158-4681-8a5f-d86242db258d · inbound

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery cites this paper.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T21:08:47.458634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:08:47.458634Z digest=sha256:4c84d5369d280cda4c6274b773bb4d770c638faa323f82337587212841baf12b

Observation da36a741-19d3-4e9a-b29a-8a786cbf104d · inbound

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services cites this paper.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T18:32:32.812628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:32:32.812628Z digest=sha256:b23a388d3e702bf58ffb9e6f8d726393008168e30375967181d567704a889e80

Observation d9b057bb-e1f4-476a-bb04-ca8799d69fb5 · inbound

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models cites this paper.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-05T11:10:17.383261Z

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.

source=pdf_text observed=2026-08-05T11:10:16.081018Z digest=sha256:beab28bdc9a3224d798b39665867b9a48e1ead48b21f0212e65174d7f54750fd