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Paper Citation Record · LEDGER

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression

As of 7 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2509.01221.

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

pith.paper-citation-record.v1
2509.01221 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:52:01.739790Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

47 of 47 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved47
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd1e501f-6b6b-41ac-9a06-6032bac820b8 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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no resolver link, observed 2026-08-05T12:52:00.307981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:00.307981Z digest=sha256:bef0fbc33af6034faef7ea56463c572f6c50c4ba95c309103aea32207a74c74e

Observation 4bd63303-3296-4cb5-b385-45d7a30435d7 · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 2

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no resolver link, observed 2026-08-05T12:52:00.370133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:00.370133Z digest=sha256:2f66ec80c45d2fee61fb58f8072839f180da3478cafbfc979e6cd82f4060ea65

Observation 1151e1ed-d782-4e73-b7f9-3c3a786e3bbd · outbound

This paper cites InternLM2 Technical Report.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression InternLM2 Technical Report

Reference 3

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unresolved
no resolver link, observed 2026-08-05T12:52:00.462898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:00.462898Z digest=sha256:51f2d342dd9fc80d5464e60167906b0178dbc3036715e9f8fe9ebb6cfed88546

Observation a97e75c8-df03-4b82-88f7-a0d5762605b6 · outbound

This paper cites AlpaGasus: Training A Better Alpaca with Fewer Data.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression AlpaGasus: Training A Better Alpaca with Fewer Data

Reference 4

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no resolver link, observed 2026-08-05T12:52:00.544450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:00.544450Z digest=sha256:d82fd54ad865c4aef772c5234b577f222c11f292d59d2e5e0caecef7c7ee5ae0

Observation 0858208a-dbed-473b-ba78-c2e7ff36ad0f · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-05T12:52:02.198725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T12:52:00.609958Z digest=sha256:3109855e9e9d436052f9ca327c3e1fad2a3687a9a27401f6f251a8530b64f005

Observation b1fb55f3-3b88-400a-827a-dd0013ab7198 · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 6

Resolution
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raw_fallback, observed 2026-08-05T12:52:02.188827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T12:52:00.696717Z digest=sha256:baa8a41955ea51195ddb73392f39da801199ccea849fd74bbb24daac1012ffd4

Observation f2306716-fc0c-426f-a1c4-5f45a0acf619 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 7

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unresolved
no resolver link, observed 2026-08-05T12:52:00.788298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:00.788298Z digest=sha256:2e2c8c23a1b2df32554e052f58235c68de71b00462b222e8b2af10cde3d6806c

Observation ae9db110-f4af-4009-b153-00e9349366d8 · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 8

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raw_fallback, observed 2026-08-05T12:52:02.178922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T12:52:00.920282Z digest=sha256:25c0cb530bfc93f843a5ad4a34ffc93432da9d09cec8e2fae06920e1a25f955f

Observation 2c6005bb-6faf-4a17-99c6-11629a656cc0 · outbound

This paper cites MoDS: Model-oriented Data Selection for Instruction Tuning.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression MoDS: Model-oriented Data Selection for Instruction Tuning

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.002494Z digest=sha256:7331309d3ebc4e53d549b5e2b243d7937a0fa9955b54001d4e3b9103b54ecfe9

Observation d522d9bb-1a8d-4172-92f0-a0b5d13ff28e · outbound

This paper cites The Llama 3 Herd of Models.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression The Llama 3 Herd of Models

Reference 10

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source=arxiv_source observed=2026-08-05T12:52:01.053236Z digest=sha256:16aa275bdd4f55e088b1840a6d7fd5700af1e32694521684d8796b27d3d78d10

Observation 37f7d3ab-193a-4d9c-a843-2aee21133b36 · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 11

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no resolver link, observed 2026-08-05T12:52:01.150053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.150053Z digest=sha256:c3a66f8ac2f076cfacd2386df053c983d24196e8bc682fb005ab019d6d7609ff

Observation 10f38b33-2d87-45f5-b605-46c65fd25795 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 12

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no resolver link, observed 2026-08-05T12:52:01.276548Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.276548Z digest=sha256:58ee8cef3a606c63bb2a75840e468af93226438b788ab2ee5675699f0b27c952

Observation 06b0b4cc-cab0-48d6-9b16-941676a99fc8 · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-05T12:52:02.169041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T12:52:01.369895Z digest=sha256:2379e5d80bb90e746477caf986d84e60c081455e576de2413770ce7373c3855b

Observation 04e0c957-49d4-4937-bfa1-ab4a206f45ae · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 14

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raw_fallback, observed 2026-08-05T12:52:02.158822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T12:52:01.483962Z digest=sha256:44964099f9cf05079a95b0f5db78036cc7b87bd8788af8aecf34788ea2772a05

Observation 05d38e98-e8b2-46ce-8121-bd69e63a7ac0 · outbound

This paper cites Mistral 7B.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Mistral 7B

Reference 15

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.580506Z digest=sha256:81c7b4f4b46937e8d56638bae80caaca86e7b3ed889d338848712adcb48abc46

Observation 9c490a55-a641-41ed-979e-524003d7b96a · outbound

This paper cites LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 16

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.641529Z digest=sha256:cb4feccae960fcfca06a0ae27936fa37a0886520bfceb0ae89d876a8c48cba69

Observation 746e3f41-ee3d-4bde-8d1b-5fcbf1ce73b3 · outbound

This paper cites LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 17

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source=arxiv_source observed=2026-08-05T12:52:01.645572Z digest=sha256:363de16b5ab383d6f67287d2bf1f8a869b79c3d2f3544761f56fc1d8bfe762ef

Observation efe61822-a609-4c58-9762-d91d7fa8eab0 · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 18

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no resolver link, observed 2026-08-05T12:52:01.648777Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.648777Z digest=sha256:72d89e0840643a4fbb0030b37da57c960fec2398828b4a25de128998554e83a2

Observation b357ccc4-704e-4149-9ed0-e8f91c1b6453 · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 19

Resolution
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raw_fallback, observed 2026-08-05T12:52:02.143086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T12:52:01.651821Z digest=sha256:846367baa5f373deff74e9662443b0fd4d1128b4abfd42c1d93ed75381c31a2b

Observation ed287b6c-1f19-4452-922d-a181890f85fd · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 20

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raw_fallback, observed 2026-08-05T12:52:02.133333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T12:52:01.654849Z digest=sha256:06326ec4c49444d9cb5494fb46a7d5d6d27d9eaa768c7d5d00cb2ad6a2eb5d4e

Observation b784772c-7f2e-4edf-93af-6a57fbe4a776 · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 21

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.657642Z digest=sha256:4bd37cb064860ab3fb28c3839f1ebf511c35091ae7dac6ca420e2cbf71ba4dca

Observation 67cc92bb-61bf-4b6b-b122-d75c4e43c3f3 · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 22

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source=arxiv_source observed=2026-08-05T12:52:01.660529Z digest=sha256:3105f0e29b0450f5889c088460f66df4afe94f21cce3e9465d58ac0ad1210b2a

Observation 0be0653d-3394-43d2-9de9-50c48ed56c8d · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 23

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raw_fallback, observed 2026-08-05T12:52:02.115666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T12:52:01.663629Z digest=sha256:60829a106374bb5c04522282601d34141422c933b1d9617ae69d60b7a847bba3

Observation 8c8b45cd-c843-4394-b986-9c4ade0f5882 · outbound

This paper cites Large Language Model Agent for Hyper-Parameter Optimization.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Large Language Model Agent for Hyper-Parameter Optimization

Reference 24

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.666699Z digest=sha256:e4137ebcdce0f6e006e55d67da9668b7d79de2e1877ff92ff4aa3fb5311c6c08

Observation 0fa2f2a5-d537-4ac9-849c-99571b361128 · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 25

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unresolved
raw_fallback, observed 2026-08-05T12:52:02.105145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T12:52:01.669933Z digest=sha256:8967e4bf9e04c45bcdd6e4183959df4fb6472d22526636b0dcd6ee6c2a1b470f

Observation 5a50fa02-844c-47c3-ae89-b09e4bb64c73 · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 26

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unresolved
raw_fallback, observed 2026-08-05T12:52:02.094133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T12:52:01.673207Z digest=sha256:f13df0b3168fe3abdfe6534060973a1d53d2df0919943cfc4f97d1024aa1ab59

Observation 60e4bf11-73e1-422a-a89d-ad4476df37d4 · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 27

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no resolver link, observed 2026-08-05T12:52:01.676539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.676539Z digest=sha256:4ea0bf5941a778eaedf0cbe3f63b49ef7d20c5ea24c1095fd782d247952c445c

Observation 0b96dc91-9508-4bf2-9d97-4030ed1cb369 · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 28

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unresolved
no resolver link, observed 2026-08-05T12:52:01.679447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.679447Z digest=sha256:8899f4ea05ad63fd16e43c7707eaf0a594f9e177d4bdc74679601a125044deac

Observation 6f9a4bd6-8a9f-415e-8a61-530c455fbacc · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 29

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no resolver link, observed 2026-08-05T12:52:01.682459Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.682459Z digest=sha256:650d6c5fe0cb8a3ea6eef56c8a31e77e6b081c21c1e7190fc9338e302f833d5e

Observation 4f9b9cc1-177e-4d75-9bf1-3b157a91739f · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 30

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no resolver link, observed 2026-08-05T12:52:01.685452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.685452Z digest=sha256:850efbfe38c0344b35149f642ff0d95860978d985120d02ef0c771dd8920ebaf

Observation d824c1ce-8083-4e83-a731-4fd4e26e2d65 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Gemma 2: Improving Open Language Models at a Practical Size

Reference 31

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no resolver link, observed 2026-08-05T12:52:01.688447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.688447Z digest=sha256:89b580ff311b98928bbab60e46d55a78d2003362dcf9102413bc2db6113317e9

Observation f98ecfeb-3a36-4d30-8512-c444a8fa88ca · outbound

This paper cites Efficient Large Language Models: A Survey.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Efficient Large Language Models: A Survey

Reference 32

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no resolver link, observed 2026-08-05T12:52:01.691397Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.691397Z digest=sha256:e94992cb4d5bea29abe9a3be71aaf61fd07c154faa997494eade5f24d09eebe7

Observation c4f244c7-9697-4f9a-a489-0c5e8d5479dc · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 33

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unresolved
raw_fallback, observed 2026-08-05T12:52:02.063650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T12:52:01.694867Z digest=sha256:9fb046cf9878ba1942763d5981724ff2e35fac4b9feae33ee7de9ed90092614d

Observation 4437a03c-0235-40e8-bb0f-87d1d3e6ac69 · outbound

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

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression A Survey on Knowledge Distillation of Large Language Models

Reference 34

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no resolver link, observed 2026-08-05T12:52:01.697822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.697822Z digest=sha256:7ae074a491b959ee46bbda47929ebe7861cb5ec9a0abc785065786e09f088c56

Observation 1211bfa5-f4fc-4cf3-8c17-244f41b1e2c3 · outbound

This paper cites Baichuan 2: Open Large-scale Language Models.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Baichuan 2: Open Large-scale Language Models

Reference 35

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no resolver link, observed 2026-08-05T12:52:01.701489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.701489Z digest=sha256:6be49aee2869ec13a75929a7355e1b3de54d015ca3aac5aba2f1d2e558d60c6a

Observation aa8900d2-673a-4128-8f6f-9956113c1753 · outbound

This paper cites Qwen2.5 Technical Report.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Qwen2.5 Technical Report

Reference 36

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unresolved
no resolver link, observed 2026-08-05T12:52:01.704911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c24cf4ad-6768-4a50-b214-4fec62a392e9 · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ddae4f8b-b218-4b77-85d3-392f032d56c3 · outbound

This paper cites LaCo: Large Language Model Pruning via Layer Collapse.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression LaCo: Large Language Model Pruning via Layer Collapse

Reference 38

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2fe4e478-21a1-49ce-89c7-ea7dc2b185a7 · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Yi: Open Foundation Models by 01.AI

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T12:52:01.714554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 66fcaeab-ea5c-43ed-bb05-79e300c2ae54 · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T12:52:01.717722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a76ef17d-53ac-44e4-8170-2b9a48a0a631 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression BERTScore: Evaluating Text Generation with BERT

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T12:52:01.721027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 842a0458-b4f1-4962-833e-5d702136de7e · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-05T12:52:02.042618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T12:52:01.724124Z digest=sha256:0f69e7194cfd31b88cfb13668839f98ca1c2eab66a53f352fdf4a04b3be60181

Observation 882936b6-41ab-4fed-bd7c-ecfcdc81ac49 · outbound

This paper cites SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T12:52:01.727269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.727269Z digest=sha256:f39c71701895ece6690db3125876690b1616d347ff2ade26f2c3759a667eaabd

Observation 49385e70-e66f-402f-982a-bd5ba27c6b61 · outbound

This paper cites an unresolved cited work.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-05T12:52:02.031380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7d1220cd-4c89-4ff3-8003-db1ce7f96456 · outbound

This paper cites A Survey on Model Compression for Large Language Models.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression A Survey on Model Compression for Large Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T12:52:01.733295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d218b725-2d7a-4f64-a1b2-1e71be66ac60 · outbound

This paper cites online" 'onlinestring :=.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression online" 'onlinestring :=

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T12:52:01.736408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2400fb82-fa2a-4a0d-8d9d-08cbb48416c4 · outbound

This paper cites write newline.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression write newline

Reference 47

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unresolved
no resolver link, observed 2026-08-05T12:52:01.739790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.