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Paper Citation Record · LEDGER

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models

As of 20 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 2 inbound Pith citation observations for arXiv:2504.15027.

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

pith.paper-citation-record.v1
2504.15027 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:39:05.298585Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:49:12.683332Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T01:27:01.869561Z

Reference resolution

25 of 25 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7dedb6e-5deb-4caf-9ca9-ea461131b055 · outbound

This paper cites an unresolved cited work.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:04.884060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:39:04.884060Z digest=sha256:fe75bbc900de1d9173ec6c4221b1ff37292a4667b9f4a3106c63ec6d771c27eb

Observation 5932f40d-d37d-46da-be34-b3780bfe75f7 · outbound

This paper cites Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

Reference 2

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unresolved
no resolver link, observed 2026-08-16T11:39:04.899237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:39:04.899237Z digest=sha256:6e391b2a455c8c3ea7d459562d26b63a7d242deb75f717ad470a2e03d250f875

Observation c5a475cd-d70c-4c15-a9aa-34b2df711aa7 · outbound

This paper cites an unresolved cited work.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:04.918773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:39:04.918773Z digest=sha256:5074aa6a34fb3114612e2da392ef34e2df9ebd0c3bae2fb0f766e90c68e944b7

Observation 6e2d3231-a39f-4f31-b9eb-0268a175fe6c · outbound

This paper cites Distilling the Knowledge in a Neural Network.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models Distilling the Knowledge in a Neural Network

Reference 4

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unresolved
no resolver link, observed 2026-08-16T11:39:04.926753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:39:04.926753Z digest=sha256:b4bffe6fac23306662f8edd4b6241104aa9f7a3b2d7d55371610fd0b9e4dc6b8

Observation 071bfa9c-0d8a-4a06-ae35-4940f4e6ff9b · outbound

This paper cites an unresolved cited work.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:04.934324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:39:04.934324Z digest=sha256:25bf1459ba5c609ef8047fd25bda21f1be33e5a540db6dc4059367012106e50f

Observation 3a0dce44-2081-4de0-89e3-aa3ccb4fb8c9 · outbound

This paper cites an unresolved cited work.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:04.945873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:39:04.945873Z digest=sha256:5fbf80f4992eb931a4ff345d2d82089217e59467c7d1f861d4a784e559e89702

Observation cec32625-c5d7-4390-ab58-2953043bcbad · outbound

This paper cites an unresolved cited work.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:04.955230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:39:04.955230Z digest=sha256:c291550781dc4b8bfda67fe6fd85cd73e9885f9a0bad0916a338f469b542e09b

Observation 5b092b41-a14c-4a23-a3db-a046fb73c3a5 · outbound

This paper cites an unresolved cited work.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:04.966868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:39:04.966868Z digest=sha256:9ed0b9245671fe00152784046c0fe612adaeb6ae2288cd11547222a23489b24c

Observation 9143dcf6-6502-4bd7-b2b8-9e29d55ace68 · outbound

This paper cites an unresolved cited work.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:39:06.431736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:39:04.980259Z digest=sha256:c09757fcd87fe613a0dac4712d486fdc80f5a6c104ddd1bb4dcfe83435ff5f79

Observation d24cabce-1866-4037-bd67-f2dfde866a6a · outbound

This paper cites an unresolved cited work.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models Unresolved cited work

Reference 10

Resolution
verified exact
doi, observed 2026-08-16T11:39:05.780809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:39:05.001740Z digest=sha256:1dd76ca6fc13e23aa16c0f7733bdd0bc0348426fa16f3dc0052b145dfef29f5d

Observation 7235d6a0-1c90-4afc-9673-f092708cf94d · outbound

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

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 11

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unresolved
no resolver link, observed 2026-08-16T11:39:05.029394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:39:05.029394Z digest=sha256:98794119bdb26689936dcebc172d59dae3580790e1b7ef8c66c88f06cc4f5ebb

Observation e2707510-b485-40c9-8891-8a3043e93f5c · outbound

This paper cites an unresolved cited work.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:05.052400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:39:05.052400Z digest=sha256:9c124cf1158daa16a66a5224bd3b536150deb8cc8953529e11fd94fe253f5168

Observation 99b603d5-f3ef-4d13-98e5-bb1e77602a14 · outbound

This paper cites an unresolved cited work.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:39:06.398144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:39:05.089761Z digest=sha256:6303752cb3c6eeb98c70367b1e7864ed053d1d43edcf2cbff6c30955000c3191

Observation 71bf5810-f22c-4ed2-aedb-66318f0fb414 · outbound

This paper cites an unresolved cited work.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:05.108174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:39:05.108174Z digest=sha256:3927ffc130263b9cff30edc1ee33d1abe8a3b8bfc3898e5f321bbd35ded92818

Observation 8a1fd53a-e593-4038-bc9e-9c32eda4ab26 · outbound

This paper cites Chi, Quoc V.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models Chi, Quoc V

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:05.140979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:39:05.140979Z digest=sha256:f09cd2d0438d781ceadacd9dfbe0aa1eb7649eb868a7d6797cf841181265238c

Observation bfd149e8-2fee-4742-898c-e70e6bff2edf · outbound

This paper cites an unresolved cited work.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:05.165379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:39:05.165379Z digest=sha256:e4efa190d9d1363f9d4821aff8b9f37991557d587c3617895dc24f4591eaea4e

Observation be2570da-d16d-493e-a702-386161d9a610 · outbound

This paper cites an unresolved cited work.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:05.184720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:39:05.184720Z digest=sha256:1990dbde6ce183e88668eb83161e28b04894b22615f2f48e0275b55bafe0b3b9

Observation 9766398e-70a3-4e38-894a-4638f2965db5 · outbound

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

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models A Survey on Knowledge Distillation of Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:05.204225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:39:05.204225Z digest=sha256:e9d31dfc3bac319c418312b734ce5e60bcd7b37dd487756e3ff05e629176ae7f

Observation 1e85ea87-9893-4cf2-9863-724a77eca948 · outbound

This paper cites Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:05.230353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:39:05.230353Z digest=sha256:64a5a005b5735e8c1a94ea7653a4b0e04589cc678ac585b0f570430d9bb24036

Observation 7bb21f41-edf8-4e3a-a98e-e7835efd75b4 · outbound

This paper cites an unresolved cited work.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:05.244568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:39:05.244568Z digest=sha256:ecaa61b80616e9fcaec57ca26ae99121306439124b3e7d9bb31c384132a3d59c

Observation ea77437d-e299-4c4d-80d7-e355db31be6c · outbound

This paper cites an unresolved cited work.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:39:06.296961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T11:39:05.256133Z digest=sha256:be375859c21c02d235730e1284efeec64681a3ccc1e4588262ad3dba2d3b8173

Observation af374372-a36c-4e5f-8afd-f52e9bd520d5 · outbound

This paper cites A Survey of Large Language Models.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models A Survey of Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:05.265893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:39:05.265893Z digest=sha256:f42567571817841b98f66d729ab66f2d0028ca04bcb055946e5d8fad38e4e0c4

Observation 9296e5f9-4991-42fc-bdc5-fef81d376f7f · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models Instruction-Following Evaluation for Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:05.274947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:39:05.274947Z digest=sha256:a13ea596728ad98797ea5038e3d93ba6714775eb3fab07941b23eda0745dfa19

Observation a540693e-0f68-46a2-a035-95e842adbd3b · outbound

This paper cites URL: " 'urlintro :=.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models URL: " 'urlintro :=

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:05.286223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:39:05.286223Z digest=sha256:348fae283be7bed9de8b7c1d22a5b122057a8534e902fcb0238270498a0c7bad

Observation bc999001-c336-45d7-b10c-34f3f4755876 · outbound

This paper cites write newline.

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models write newline

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:05.298585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:39:05.298585Z digest=sha256:6b407618b861a87070152bf5d7e83e6439e7a98879b94e2a7ef15403a642dca9

Pith citing papers

Observation 35b5faeb-9949-487f-a486-51f21beaea05 · inbound

EasyDistill: A Comprehensive Toolkit for Effective Knowledge Distillation of Large Language Models cites this paper.

EasyDistill: A Comprehensive Toolkit for Effective Knowledge Distillation of Large Language Models DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T13:49:12.683332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:49:12.683332Z digest=sha256:b850381581ed6678d3234469464a9c4b1ad57e74ac82d844f81276191670e22f

Observation 7d129878-0934-4e1a-bfc5-3a4918a6951a · inbound

OmniThoughtVis: A Scalable Distillation Pipeline for Deployable Multimodal Reasoning Models cites this paper.

OmniThoughtVis: A Scalable Distillation Pipeline for Deployable Multimodal Reasoning Models DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:27:01.872001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-13T01:25:14.540277Z digest=sha256:5d376d6b211bc6022d0d54a444080155e37498882ef8d4fea8c5a84aa782ee8a