Pith. sign in

Paper Citation Record · LEDGER

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins

As of 7 August 2026, this Paper Citation Record lists 100 of 123 outbound references and 0 inbound Pith citation observations for arXiv:2606.17660.

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

pith.paper-citation-record.v1
2606.17660 v1

Coverage vector

measured 100 of 123 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T01:41:21.137727Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

100 of 123 outbound references displayed

  • verified exact6
  • verified fuzzy0
  • unresolved91
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 00a9c945-fbb3-4bba-9558-de3423e88ce4 · outbound

This paper cites Scaling Learning Algorithms Towards.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Scaling Learning Algorithms Towards

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:e602e753917850f976c1c88d894ae1388554f968754b6c2885a85615f2193055

Observation 5db08df8-f9ca-468d-8671-612c924c0d67 · outbound

This paper cites and Osindero, Simon and Teh, Yee Whye , journal =.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins and Osindero, Simon and Teh, Yee Whye , journal =

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:10c82a4f1d7b331e8ade4300df7a8b3cd0512718702b1f05355471a839e4b2cd

Observation 6e4c7899-4842-4f83-bb33-1ad3ddba00da · outbound

This paper cites 2016 , publisher=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2016 , publisher=

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:d02b18476c7be96d150ef79a32ea51d5bf31e69b5ef55ac27a22abbd96ec6995

Observation ffe71fa1-9ecd-4a76-9ee8-b17913a3d066 · outbound

This paper cites 2025 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2025 , eprint=

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:b4ed1fe72f21119ab831c6dc1f0023e9175a19887af397f1d2f6b8f39e48c07b

Observation 0dffb7c7-e4a1-478e-8e67-546a698fec7f · outbound

This paper cites 2024 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2024 , eprint=

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:5da9225d5c8c78ff064268ea8f95dc8ef0b4db77f8b64740d8c7d9880e3c34f1

Observation 0d09392f-d3c2-4e99-af1a-7901e56a72c8 · outbound

This paper cites 2025 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2025 , eprint=

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:3a08fee04e32155bed2167a5de039f6c3bf9c42ac260276850d0a13d1c1e8f1e

Observation 3ceda6c6-ef16-433c-8512-ac3a012d1b0f · outbound

This paper cites 2017 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2017 , eprint=

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:83e5e847b59c5f2dadfe180b5ebb401aa53d6eae09c871f65345c4de39ba0765

Observation 3013d72b-bc5d-433e-ae6d-c28a3e5b87ef · outbound

This paper cites 2020 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2020 , eprint=

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:f28cab6c619de491f8443fbb72f34555ae44cbe190daf3aeedd3f4d20602051b

Observation 019df164-b2ca-49b0-b408-159118e44aae · outbound

This paper cites 2021 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2021 , eprint=

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:95e204c68a196486f6cfbc87e5e7dd84b5a809c74bcadfbe73d0f07f250d6c49

Observation ded73970-3fb9-4aab-81f4-a094a2d9c893 · outbound

This paper cites 2022 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2022 , eprint=

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:c3cec87997d90bb02203707247c20e6464f3106b2a23c87199673723bd8d0dee

Observation 869ebd34-caf4-43ea-a144-d42640f56f97 · outbound

This paper cites Proceedings of the 24th International Conference on Artificial Intelligence , pages =.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Proceedings of the 24th International Conference on Artificial Intelligence , pages =

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:00351fa541e1c1927977d13f52058178564d1183476991402f05032150489099

Observation 02f2fa7c-f2bf-46f1-abe5-5dd03af18c0e · outbound

This paper cites 2020 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2020 , eprint=

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:d0f752415fb52b045b2d2fb5c600f2f5348c6b683c98490a1123f58c301cf619

Observation 1b011d22-660f-45a9-adb2-8333c86b1937 · outbound

This paper cites 2024 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2024 , eprint=

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:97528946aeaa5c44859ae4f5e87e98b1b710f23f928623e759c9d3bda38c1bb6

Observation ca7e4795-faf6-4d0c-9109-329ec9c38474 · outbound

This paper cites 2020 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2020 , eprint=

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:1d977192220729d21bcda2511ad0abe1ff333ef2801f78ef997be06cd49d6815

Observation 7219708c-4724-41a2-98fe-6d303d834b37 · outbound

This paper cites 2019 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2019 , eprint=

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:66e36ba98c095e39da9a0f745f038a15c9d3ef8857108c5b259ca8d502756d2a

Observation a5859fc7-18b1-47c9-9aeb-59cfbddcf4d5 · outbound

This paper cites 2025 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2025 , eprint=

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:3d2cc1f139690154481d61dffd27dfb46eff54d698d3b69235e091d522092f27

Observation fddbac3d-c9d0-4b95-9bf1-72eeeb861549 · outbound

This paper cites 2018 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2018 , eprint=

Reference 17

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:d4cf910aea8e034fb5b24dccf6a66aaab8e97c80e4f4430f4790641f539f2cf9

Observation 6ea65697-828d-48e2-8c50-5e1dccef4d70 · outbound

This paper cites 2021 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2021 , eprint=

Reference 18

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:0088430f4c504f743bab38c73504d3c234b6491207d7d4c2e7504117445ca4a1

Observation c4dd2261-a75c-45a1-aada-c485c4786930 · outbound

This paper cites 2023 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2023 , eprint=

Reference 19

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:3cbe5daa172d74c4f2eafd7ad48f996e1260c13940c1a2f4708efcb2f0046532

Observation 297c5979-f286-4214-af92-5438959c3b9d · outbound

This paper cites 2021 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2021 , eprint=

Reference 20

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:1831fbe41c1f59436d74db2e48e6936187aa09583fb14e26af4a8a30a5ad3fae

Observation 2e8065b2-9eb3-49d6-843c-b25a139d9bf1 · outbound

This paper cites 2018 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2018 , eprint=

Reference 21

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:2db1ce380060ed2215a81c2f64232664ea1f53b5a53a99dca9253165ac8703ab

Observation f6fd8024-d387-4fe6-9e18-adb1682bcf7b · outbound

This paper cites Louis , year=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Louis , year=

Reference 22

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:4b9b7e1e96841f050c5cfb37b30cfff48fbd24ef0c448f2a4207b03fc784a9bc

Observation 9e87d433-acfd-4a5e-af93-c5e13ef24be8 · outbound

This paper cites 2024 , url=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2024 , url=

Reference 23

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:32188f733ff2496727722afc766c17050c8f06f39ca7f0e6b51293787c2be6aa

Observation ecf9a6a5-c079-4e26-8719-5974b34363d0 · outbound

This paper cites 2023 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2023 , eprint=

Reference 24

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:c61cf548a12323e14ac8f9879a1e2930a3ae9165fbf4556a112f01db38dad7d6

Observation a9e7b401-2ec3-43dd-a46f-ea76728fa6e7 · outbound

This paper cites 2021 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2021 , eprint=

Reference 25

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:af5cf5df2f0973053f424e7b20fa1596736db1b4eb9a592f7899a62acb425175

Observation 41ceb336-6ce2-4077-8bac-f94036ca36f7 · outbound

This paper cites 2025 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2025 , eprint=

Reference 26

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:5a5db5b6f22b0b1d839c8cc20e0a1df207697fee181899b865e083bbe184a88c

Observation 9ecddce8-ea22-4351-b785-c5df9a174db6 · outbound

This paper cites 2025 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2025 , eprint=

Reference 27

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:25dafddb34a3308d504b7c83d360e541e973d007c9b8a8008263704c2eb8d506

Observation c017b6c4-6d8a-444d-82cb-40d5652180ff · outbound

This paper cites 2025 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2025 , eprint=

Reference 28

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:5f70ec6c161004846378f14adad1f85608f5691d495f215be11ae5fb0986566c

Observation d121b2f4-2888-496b-b380-7bf2e70216c9 · outbound

This paper cites Model Explainability using SHAP Values for LightGBM Predictions , year=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Model Explainability using SHAP Values for LightGBM Predictions , year=

Reference 29

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:e46486427192a273ab67da875aab9c42710f5869d9548b302d4c9b21847af709

Observation d23fbc24-25c3-4dd3-b6fe-cfd845da6a9a · outbound

This paper cites Proceedings of the 31st International Conference on Neural Information Processing Systems , pages =.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Proceedings of the 31st International Conference on Neural Information Processing Systems , pages =

Reference 30

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:63a8a4668c10aeb9402f9cef596715a592423b39eeb4642fde9f0daa461bb369

Observation e6063f8a-369c-4b92-8939-8e3762bbeee2 · outbound

This paper cites 2025 , issue_date =.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2025 , issue_date =

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-06-27T01:50:21.534762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:7ede26a3122fe101d96457a42c2882e46a8a5b43b9ff304d5ed6dcfc646fac65

Observation 39d04482-d5c8-4538-ae11-ebea79f59561 · outbound

This paper cites Copula-based conformal prediction for multi-target regression , journal =.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Copula-based conformal prediction for multi-target regression , journal =

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T01:50:21.542071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:f4c8ce3d00b9c4fc6683922f368e0bee9c2b52a82ddbe1004919b504f5a5a251

Observation 12a4328a-6632-4cce-b620-7de4a9aef529 · outbound

This paper cites 2022 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2022 , eprint=

Reference 33

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:1fbf4a02b31ce61b8c4a318a4b560baf24821cc2df89b231d6693fb695cb9300

Observation 573997e1-11a1-4456-a40a-115e3788895d · outbound

This paper cites 2024 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2024 , eprint=

Reference 34

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:10c9bdbe3a87631bc73fabbcd2db8012f17c507093366fc99e2a9b529515da5a

Observation 766e5df2-be83-42eb-972f-4939030848d4 · outbound

This paper cites 2020 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2020 , eprint=

Reference 35

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:5c14a9fd0a6be19bfdabe3cfd786306d14e8fcf81827ac39e013bd60c72c9722

Observation 1e20337a-2745-4556-bef1-0e5be7708ae8 · outbound

This paper cites 2019 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2019 , eprint=

Reference 36

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:303de8c497c0de461e57b88d8a7ad5995e4cdea889ae4036741b7bd6069985de

Observation 84ac4cb7-9832-4ca1-b1e7-98830c7c4b2c · outbound

This paper cites 2023 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2023 , eprint=

Reference 37

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:ba3bf3dab9e0485058b0d44422165f4b24a6d1d7c227d3776d5954f7c2a717c7

Observation f4a7c5cc-5c0e-4c42-8f65-3ba5bce72138 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins International Conference on Learning Representations (ICLR) , year =

Reference 38

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:e3cb814f981cda3b947619a8067326c3bf883fd236ac139659142b2482f575fb

Observation f51bbd6d-6117-4647-ae04-8e07e1c966da · outbound

This paper cites Qwen2.5 Technical Report.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Qwen2.5 Technical Report

Reference 39

Resolution
metadata mismatch
local_arxiv, observed 2026-06-27T01:50:21.535493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:c6209b92ae7b8d70bbbc38fa1ee939e51abc590054ae8fb068dbc4ec04dde4d2

Observation 2ef6c459-b955-4d66-a255-7a49ed361dc7 · outbound

This paper cites 2025 , url =.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2025 , url =

Reference 40

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:a7696a0255e364567b59fc0a7ecaee34854128812492f677b70687ed0fdfb1e5

Observation 79536972-871f-45c0-82c9-d3066f619b78 · outbound

This paper cites 2025 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2025 , eprint=

Reference 41

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:52bef2f6cd9080f923f4cb3a34fceb5282a9fec978d6d8995a13a789ae22118a

Observation a132f5b8-87db-46ee-b87d-d625e7ac3aab · outbound

This paper cites 2020 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2020 , eprint=

Reference 42

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:a579ba0eb4b9f182b69ac5436722ccd75a108df686eefbc1e4df97154558d14c

Observation f1558a6a-32fe-4365-9873-3f12eb7ece67 · outbound

This paper cites Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research

Reference 43

Resolution
verified exact
doi, observed 2026-06-27T01:50:21.548982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:f41cd09c958f6abd5f98d38e78e7b320688ddd97833f2e1da838c9208874bb8e

Observation b81c9bd9-c926-4387-b004-63429cadaae5 · outbound

This paper cites 2025 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2025 , eprint=

Reference 44

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:13e63bfbba99fe68f099543e0e235db80242bea51a572554348bf13e852124e6

Observation 358012e5-11b5-4ad6-9ac8-1bccfe1e8a9d · outbound

This paper cites 2023 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2023 , eprint=

Reference 45

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:26a545b5b4c860b65704338cc7fbbdc66909354fe3f9bfe6bf8a04d3efadb4e1

Observation dd41130e-04ae-45d8-9379-537a2e931309 · outbound

This paper cites 2018 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2018 , eprint=

Reference 46

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:829b52b67934a9b3f305452476cb033b23b1aba4ce3175beb9cfc5cf1ab42d0e

Observation e2720f80-6ef1-41d9-a8a4-8a1598decfb8 · outbound

This paper cites 2020 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2020 , eprint=

Reference 47

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:5ce7af878826ec86c95f5d8535f9eb7aafe3a45c2ceb036e0afcd8ef4e73fb7e

Observation a1f22ebd-ce42-4c44-bf14-81230e131080 · outbound

This paper cites Mathematics , VOLUME =.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Mathematics , VOLUME =

Reference 48

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:21c527f32f407c812c904e2a312782d02dd23d818a7c76feb1abd6fc44f306b9

Observation 227ac49e-b992-4374-aa44-21496bfa6032 · outbound

This paper cites Technometrics , volume =.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Technometrics , volume =

Reference 49

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:bff884a0a64f38281e4f5ac643da05334a1908fbd856abc6f23414f921ebbbb3

Observation 37cc8254-a808-437d-9796-040fc08a5586 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Advances in Neural Information Processing Systems , volume =

Reference 50

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:770f2001fabe3da303aa58591a496fb7bcb2da1d78eb7b8458a8cc26223bd6e2

Observation 5efb0304-402d-434f-bb90-4d0b65591b04 · outbound

This paper cites Statistics and Computing , volume =.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Statistics and Computing , volume =

Reference 51

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:3f97adbbd73af781beddfd45860df5fd381df079a23b4fe5b8cab25709f02d89

Observation 6ac037a6-99de-4b80-8d66-385708da7e3c · outbound

This paper cites Machine Learning , volume =.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Machine Learning , volume =

Reference 52

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:5ef6a0e85176468f0f60f8093dcfb7b05342544ab45c7fd1a57794baac8330e7

Observation 2cfb54a8-6ca8-47d4-adb1-ae4f57be1cd0 · outbound

This paper cites Nature , volume =.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Nature , volume =

Reference 53

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:506d9d76ebcf9a3e5dfc55047e6c957adbfe635980006b198f5a58fa2046d43b

Observation 6683cc9a-7acf-4a74-8466-c4aa76fe65d7 · outbound

This paper cites Neural Networks , volume =.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Neural Networks , volume =

Reference 54

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:e771918a44c57f7e0d6c04ffa74de0e2f88255ceef5e8c1d0a857b2a6e969c0b

Observation 8c05089a-ef9b-4d99-8105-f8f1bb66f6f2 · outbound

This paper cites Journal of Machine Learning Research , volume =.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Journal of Machine Learning Research , volume =

Reference 55

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:142ef78fcb1e6cf30ad4209d919efc894e3a06785547de156932eff1c2229be1

Observation 9dc56740-3f2f-445b-9a5e-0891c7463324 · outbound

This paper cites Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes

Reference 56

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T20:08:55.760365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:f410c993aee814288847f3fcb76179d885a4cd32fc32bdcbdff91427f46e1416

Observation f7511c21-f0b5-4547-9aba-43608fe4b077 · outbound

This paper cites Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:08:55.764911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:87564656c730dc5eaf7550474a4cdb310c111c8430967c870771b87bdb0dbe59

Observation b2afcfd9-968a-4d4a-ae19-f45644ae7087 · outbound

This paper cites 2019 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2019 , eprint=

Reference 58

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:3152dd6d022248454678bcd8adaa2e70783a1c0a84df6f2c1eb7afecb0e30701

Observation 8d87641a-ca03-4ccf-98b7-079bbc6adfaa · outbound

This paper cites 2024 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2024 , eprint=

Reference 59

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:a7f72ca5fb4729a68dceeed95141577084b497af8d0444a922e0f1b13dfc0d80

Observation c286f803-7f61-41c7-9183-b33e87b7c0ff · outbound

This paper cites 2023 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2023 , eprint=

Reference 60

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:708a663a67d9749272920826cd8ef76a5214730eb4c4e44fdde978f8ec5dd0ed

Observation 7f31fc36-abc3-4789-be72-aa82743836d1 · outbound

This paper cites 2018 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2018 , eprint=

Reference 61

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:9dfada2596b0c60795b37f9a0140d40a09d44a80fb4721074b364c0dd48b7e64

Observation 017d8b11-8187-490a-9ce0-51dd7704bed0 · outbound

This paper cites ROUGE : A Package for Automatic Evaluation of Summaries.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins ROUGE : A Package for Automatic Evaluation of Summaries

Reference 62

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:25e45cddc87ec5c9e6ceff192166eca0daaa9e3efdc337732303b4be1d2c1ca5

Observation cd69ed38-7626-4431-a482-1aa8e1fdef1b · outbound

This paper cites 2018 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2018 , eprint=

Reference 63

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:a0ed788b99477ae318bcb3a7280dc115f1b573faa6cbef58616745e8fd547cad

Observation 7bfa2c88-6429-4e81-b54b-ea23e4743e3c · outbound

This paper cites , title =.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins , title =

Reference 64

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:614f596134ed59fcfcc3eb6b8de566da242fb25e7e2d76b90e763d3c7f9ea178

Observation 8698d55a-8a92-44c3-a3f2-182a374893bf · outbound

This paper cites 2022 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2022 , eprint=

Reference 65

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:91dbff12f9561b4775cec797ea9bfe734fc2a98667aa6201e09a8dc7e1bd6862

Observation ec697225-a4a1-4b47-8044-3373446277d4 · outbound

This paper cites 2023 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2023 , eprint=

Reference 66

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:7499ae407dbcb1ddb7a6e452807d2c4418fd79486df116209ce2bbaf26b59090

Observation c6bbd859-a50e-4697-a7d6-fed3bb1b0373 · outbound

This paper cites 2022 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2022 , eprint=

Reference 67

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:6dc15ad299dc40020561f8e5a506459380f8c38eb3360b6b14ceadfcc1a8b790

Observation eb1c870a-a063-4775-be14-55c70aa6b37c · outbound

This paper cites 2019 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2019 , eprint=

Reference 68

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:16cd2abae29aaf8be06b95c2b2dc53b376869d1e4f67b107536d3e3ec5c54ed4

Observation 1f1381d1-7c82-4344-b6c3-6dca5459b8f6 · outbound

This paper cites 2022 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2022 , eprint=

Reference 69

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:01228877816952d8f1b59980e7f6453220dc8e550bb49fcc5761fe797a586277

Observation 93df5019-1df4-4f94-9d4b-41a86f0ea0d2 · outbound

This paper cites 2021 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2021 , eprint=

Reference 70

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:f7f3fbd590ef054ce310ef83e858986011c2ed0408e88f7f7d599c4ebd99df54

Observation db298bd1-134e-4607-938e-59d2d670fdd8 · outbound

This paper cites 2020 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2020 , eprint=

Reference 71

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:9a9ab14c17515a7a0256e715f5b7791ffafd360c6a09dcd061b60d01930e4375

Observation 132677b0-5f65-406c-8636-c80610913661 · outbound

This paper cites A Qualitative Comparison of C o QA , SQ u AD 2.0 and Q u AC.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins A Qualitative Comparison of C o QA , SQ u AD 2.0 and Q u AC

Reference 72

Resolution
verified exact
doi, observed 2026-06-27T01:50:21.543000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:699699bb07ebc81adc7888ebf2e158bf3b5a1405c22e4029faf43942daa3c414

Observation add4b4cf-02d5-4e26-84b3-0fd4449f5254 · outbound

This paper cites 2016 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2016 , eprint=

Reference 73

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:df7d3502bf7e27d4f55acdadff3e0ac5fc3c16b2ad38b6545de871df7a6956b7

Observation 7a61b405-e694-4e07-ad8d-97a0d7727d2e · outbound

This paper cites 2018 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2018 , eprint=

Reference 74

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:fee82858b2328aa43fbb6447622ba0ef549221ba227a994d655f3dbfa81019cc

Observation b9901082-5ab4-4376-903f-24f101d8c840 · outbound

This paper cites 2020 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2020 , eprint=

Reference 75

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:c4dc18c5f57358e3261912508a3e6e001011f1e89d655ede6b6ff373c4847f7d

Observation 3e16eea4-0e63-4dca-bb04-58f9d12533a0 · outbound

This paper cites 2016 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2016 , eprint=

Reference 76

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:b34ebb9d71f60cdc89cbd1d2c2dd1914c8f679422ed38ed5601b98e865824083

Observation 2a667683-9430-4935-8bfe-66907ce8f2df · outbound

This paper cites 2020 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2020 , eprint=

Reference 77

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:214dbf92678535b9d8eae293cf3422b23a144991f07fb1987d310059c6d82b9d

Observation fa936782-20ab-4980-881e-0c7cf5152732 · outbound

This paper cites 2020 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2020 , eprint=

Reference 78

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:744518f9a886d259479ad362e903140eb33e255bc070ebda5199e01daf397d20

Observation bc2b8d36-2b16-4d21-996a-95f9cd508dda · outbound

This paper cites Domain Adaptation via Pseudo In-Domain Data Selection.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Domain Adaptation via Pseudo In-Domain Data Selection

Reference 79

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:da3cde126a61bead2d00d62aae06bd04384748741770ce4e078be410e81bda32

Observation 0b3a2cbb-490a-43ff-9c87-277fc1e85f20 · outbound

This paper cites Survey of Hallucination in Natural Language Generation.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Survey of Hallucination in Natural Language Generation

Reference 80

Resolution
verified exact
doi, observed 2026-06-27T01:50:21.539259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:cc683e74f502ef31316c05e137359a39c800700465ae09b9360e6b9e6019e389

Observation 404d89d4-0bff-4e79-a056-bd3621a65cf9 · outbound

This paper cites 2020 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2020 , eprint=

Reference 81

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:9fd26f18657f3cc7ebedd911babc8467357f36fff5ca6cf75d25bc9b3be27cc1

Observation 8bd3532a-0600-44f8-9b21-b0b817500f3f · outbound

This paper cites 2017 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2017 , eprint=

Reference 82

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:99990fd1f1879411215f7c28fa9f39913d0aa0577636ae49c20c1bebb2c00bf3

Observation 7d72c963-4e3c-4194-9a5a-ae1557792358 · outbound

This paper cites 2017 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2017 , eprint=

Reference 83

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:3cd60f7308db54ff62be868f5d46774b712dc3f7d237ca09da4e56841e3f54bf

Observation ebfb9044-de53-4fb4-8f25-25665b29ddfa · outbound

This paper cites 2022 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2022 , eprint=

Reference 84

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:ac9ddc4c0a4a56f266eb85c0e10ba0a7139d711a972a44ad0754c85be9f3074d

Observation e4e35ef6-4026-45d3-8a8b-44fffa220800 · outbound

This paper cites 2013 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2013 , eprint=

Reference 85

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:9a6569bdbd5c95a4ad6c72af01d949370d0697d2a82695694983076e4e3d2552

Observation baa9d907-a5c1-4e7c-89ec-090a23b4378c · outbound

This paper cites Proceedings of the 30th International Conference on Machine Learning , pages =.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Proceedings of the 30th International Conference on Machine Learning , pages =

Reference 86

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:9bc6e4c7f22533ffef0eb65ae5efb66e62e09c468fc8e8e255781aa798d68576

Observation 20e30147-e9ad-4b9f-a0e0-7074f2cb1668 · outbound

This paper cites 2019 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2019 , eprint=

Reference 87

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:b6a7ee828ac819c7dccc96f5012c0fe3d12b5f5c8708051dcd20206cb6c498a5

Observation 4c22dd28-6e91-4543-ac18-bf1f682f76d6 · outbound

This paper cites 2021 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2021 , eprint=

Reference 88

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:5a99810a1fd82d7b04a82ab85a34876d5bc1bafd0ec43c8e9cad8cd1934bbd8a

Observation fd81a179-b38e-48db-968d-712cacb2dd2f · outbound

This paper cites 2017 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2017 , eprint=

Reference 89

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:e1d83656097c23d477d70fe4625454a75a988f7b0c19a47a992c1b3824800360

Observation 14ee982b-7e09-40c1-b89e-8e0e0de7c927 · outbound

This paper cites 2019 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2019 , eprint=

Reference 90

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:315b8471fe23aceec2123553ba56ec9d119d767d30efa77d806248551e3dc4a3

Observation 75bf0c7c-ae47-4df3-99bf-f833e5e9d649 · outbound

This paper cites 2021 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2021 , eprint=

Reference 91

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:c9d599a55b7380a0aed9ac07e0eb0474a758f84d6d7dc2dccf36213a1e035918

Observation 5a55e5c0-a4b1-4e9c-ad0c-72905a8d034c · outbound

This paper cites 2020 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2020 , eprint=

Reference 92

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:860e5c45cb574f9bb0eaf0dd58b14de2623d81c5745bd5d61e5b94ae4d54faf6

Observation 403f26e7-28a8-4c2e-9686-e3977fbc60ba · outbound

This paper cites 2017 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2017 , eprint=

Reference 93

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:06b5e55699d6666dfd0a5aa7fc9b12dcf97c940057496119a0e638a9a4bd8315

Observation f14c428d-78f5-48b4-a29a-3a1fa348fece · outbound

This paper cites 2017 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2017 , eprint=

Reference 94

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:a352f1056f1c22de74711d2596e44bdc389208f933d98a6a8b0cef191a475737

Observation a7c84b7f-e324-4001-9b84-d93a06015b29 · outbound

This paper cites 2018 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2018 , eprint=

Reference 95

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:a2ba75bbed865d996a3be48cef085fde9d49ecf9709b89e8e34fb7b37b6644a1

Observation ed556f56-019f-457e-adec-b11c9fae7cf5 · outbound

This paper cites Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics , pages =.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics , pages =

Reference 96

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:cf20b8ed9e9f7821e261fa7358b11d0cdae27e501f6ffbdff0e3df40232ba698

Observation bec6c0f2-d01a-4aec-b53f-799dbea8dfa5 · outbound

This paper cites Networks of spiking neurons: the third generation of neural network models.Neural Networks, 10(9):1659–1671.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Networks of spiking neurons: the third generation of neural network models.Neural Networks, 10(9):1659–1671

Reference 97

Resolution
verified exact
doi, observed 2026-06-27T01:50:21.544675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:c73c7347aad3b870a3582d6b0521836fa7d0e6103bb704cbbdcfae066e34568c

Observation 8d6c76a9-5516-4bdc-831d-a4caac251296 · outbound

This paper cites Predicting Fine-tuned Performance on Larger Datasets Before Creating Them.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Predicting Fine-tuned Performance on Larger Datasets Before Creating Them

Reference 98

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:9bbb6e63c16fc4aaea305912b53389eb5f7739d6af0e41c743600c96806ceeeb

Observation d9bbc7df-ba23-497e-b1fa-39991f6a297d · outbound

This paper cites 2023 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2023 , eprint=

Reference 99

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:7fd86b966a69596dfefb54634d7b7645e919a060ff54ae94cc683cd4a72add80

Observation c0cc40bd-52e6-4268-89fe-10a383912c9c · outbound

This paper cites 2023 , eprint=.

TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins 2023 , eprint=

Reference 100

Resolution
unresolved
no resolver link, observed 2026-06-27T01:41:21.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:41:21.137727Z digest=sha256:656d85a14c5c1488f8a465f39a6debc1bd28b41e7fde00e2122409ff59c8edb8

Pith citing papers

No inbound Pith citation observations are available.