Paper Citation Record · LEDGER

Gradient-based Fine-Tuning through Pre-trained Model Regularization

As of 15 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2507.00016.

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

pith.paper-citation-record.v1
2507.00016 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:55:34.999175Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

50 of 50 outbound references displayed

verified exact1
verified fuzzy22
unresolved27
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5eea1c92-3aa3-432c-8bf8-50ddd13f4587 · outbound

This paper cites Cheng, J.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Cheng, J

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:35.442384Z

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Observation 166337b6-a416-498e-8366-d34816f0350f · outbound

This paper cites an unresolved cited work.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:55:35.433669Z

Source-reported events for the cited work

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Observation 0aa17f5c-867e-47a7-a445-67902f5fcbe9 · outbound

This paper cites Dosovitskiy, L.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Dosovitskiy, L

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:35.424320Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6cf4c5e5-ba27-4a77-8cc2-b424ee9224f6 · outbound

This paper cites Fei-Fei, R.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Fei-Fei, R

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:35.414518Z

Source-reported events for the cited work

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Observation 6259e8c7-185e-47ce-a558-cf2894d23ed8 · outbound

This paper cites Frankle and M.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Frankle and M

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:35.405075Z

Source-reported events for the cited work

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Observation 99b73cc2-ce1d-4e3c-8087-5e52026ddb9a · outbound

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Gradient-based Fine-Tuning through Pre-trained Model Regularization Unresolved cited work

Reference 6

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Observation 78a5cb7b-f446-4fd1-856c-84a14164b0b8 · outbound

This paper cites an unresolved cited work.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Unresolved cited work

Reference 7

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Observation 59134a0c-0bae-4e3b-a867-a3713fc938df · outbound

This paper cites Grattafiori and A.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Grattafiori and A

Reference 8

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Observation 9609147e-7bdf-404f-a109-9bdd81f563c7 · outbound

This paper cites an unresolved cited work.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Unresolved cited work

Reference 9

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Observation 179fa242-4511-4994-8b35-d768f3a0e236 · outbound

This paper cites an unresolved cited work.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:55:35.360155Z

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Observation 895fe2ad-7341-4feb-a8d3-6fdd1db2db32 · outbound

This paper cites LoRA+: Efficient Low Rank Adaptation of Large Models.

Gradient-based Fine-Tuning through Pre-trained Model Regularization LoRA+: Efficient Low Rank Adaptation of Large Models

Reference 11

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Source-reported events for the cited work

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Observation d9c81689-53b7-4ace-9291-1c4ae9d5b372 · outbound

This paper cites an unresolved cited work.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:55:35.351954Z

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Observation 359698e5-d13a-4901-80e4-a31c006e2365 · outbound

This paper cites an unresolved cited work.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Unresolved cited work

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21498b2b-ef24-466e-a178-476a451a3688 · outbound

This paper cites an unresolved cited work.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:55:35.338215Z

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Observation 2a9557fd-d2f6-4271-b1b7-d9b1230afc3f · outbound

This paper cites Houlsby, A.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Houlsby, A

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:35.330122Z

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Observation a14b67b2-826a-43d8-a7c3-34a0353588c4 · outbound

This paper cites Houlsby, A.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Houlsby, A

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:35.321252Z

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Observation 9ba3b438-02a6-4c6f-a2b6-a7ff2d3a80e0 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Gradient-based Fine-Tuning through Pre-trained Model Regularization LoRA: Low-Rank Adaptation of Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T00:55:34.912269Z

Source-reported events for the cited work

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Observation 332580f5-a822-4e24-a8e3-696840064019 · outbound

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Gradient-based Fine-Tuning through Pre-trained Model Regularization Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:55:35.313043Z

Source-reported events for the cited work

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Observation 6f2a4417-c15f-457a-8a1a-e1c4643afb04 · outbound

This paper cites Johnson, B.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Johnson, B

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:35.305182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c22491a7-b11a-4f7d-b029-986400d7d5ca · outbound

This paper cites Karimi Mahabadi, J.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Karimi Mahabadi, J

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:35.295855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cc216b41-00e6-44aa-915d-d85dbfefb88f · outbound

This paper cites Khosla, N.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Khosla, N

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:35.287891Z

Source-reported events for the cited work

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Observation 55b48377-97c6-4d74-9119-2692301b8b11 · outbound

This paper cites Khosla, P.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Khosla, P

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:35.279882Z

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Observation 0a931394-6839-4bb5-b75e-afc14fdb1de5 · outbound

This paper cites Kingma and J.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Kingma and J

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:35.271316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f3133d00-b359-46be-9a7b-7d99f29eee15 · outbound

This paper cites Krause, M.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Krause, M

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:35.263399Z

Source-reported events for the cited work

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Observation 5548f932-cc35-4f17-8b6d-c7d1887ce371 · outbound

This paper cites Krizhevsky, G.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Krizhevsky, G

Reference 25

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Source-reported events for the cited work

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Observation de2b1343-001f-45ee-a901-85b69042e863 · outbound

This paper cites Kruschke and J.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Kruschke and J

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:35.248874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3c65650e-2738-4441-9e6a-d6c404881bc2 · outbound

This paper cites Kurtic, E.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Kurtic, E

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:35.240716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b6e13bae-adae-4949-b402-bb11b775c191 · outbound

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Gradient-based Fine-Tuning through Pre-trained Model Regularization Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:55:35.232861Z

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Observation 969cf35f-0973-49c6-b78a-80aaa1174e7e · outbound

This paper cites Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective

Reference 29

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Gradient-based Fine-Tuning through Pre-trained Model Regularization Unresolved cited work

Reference 30

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Observation 765a2eaf-833c-46dd-8d52-faaf6a131469 · outbound

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Gradient-based Fine-Tuning through Pre-trained Model Regularization Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:55:35.215369Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 36199669-8562-4dc8-b0ae-bd09ac296bc3 · outbound

This paper cites Loshchilov and F.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Loshchilov and F

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T00:55:34.951131Z

Source-reported events for the cited work

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Observation ff40b3f5-5a6e-4ad0-88cb-1dbdf2383d0a · outbound

This paper cites UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling.

Gradient-based Fine-Tuning through Pre-trained Model Regularization UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T00:55:34.953724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93d1d246-db51-41fa-9cb7-313fa1a8d24c · outbound

This paper cites Nilsback and A.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Nilsback and A

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:35.202814Z

Source-reported events for the cited work

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Observation 9f86b571-78e8-424e-9acc-6ec40faaa3f0 · outbound

This paper cites Achiam, S.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Achiam, S

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:35.194135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e8a7e3d1-5768-4454-9813-d8c4d070c87f · outbound

This paper cites Ouyang, X.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Ouyang, X

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:35.186446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 48b6a9d5-b6a1-4372-8960-27b4a2755d3f · outbound

This paper cites BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models.

Gradient-based Fine-Tuning through Pre-trained Model Regularization BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T00:55:34.964058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 648a2f44-e898-4945-a0b4-8b5de3539043 · outbound

This paper cites An Empirical Study of Example Forgetting during Deep Neural Network Learning.

Gradient-based Fine-Tuning through Pre-trained Model Regularization An Empirical Study of Example Forgetting during Deep Neural Network Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T00:55:34.967510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 020c6d61-fe49-4d72-bb40-d8a2ab5deb6f · outbound

This paper cites Touvron, L.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Touvron, L

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:35.178206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b793399e-1fe6-49fe-b70b-385202ec3a73 · outbound

This paper cites Van Horn, S.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Van Horn, S

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:35.168060Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2ff98233-e21f-46c3-acd9-0f7b10d8ad6c · outbound

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Gradient-based Fine-Tuning through Pre-trained Model Regularization Unresolved cited work

Reference 41

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Source-reported events for the cited work

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Observation 5f6eb541-891a-4a16-b92c-cb6768b537ce · outbound

This paper cites an unresolved cited work.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:55:35.151801Z

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Observation 02472795-91f4-4871-96f1-ecbf47c85794 · outbound

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Gradient-based Fine-Tuning through Pre-trained Model Regularization Unresolved cited work

Reference 43

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4a49f36d-8c2e-4238-a93c-82bf21bfc1db · outbound

This paper cites LION: Implicit Vision Prompt Tuning.

Gradient-based Fine-Tuning through Pre-trained Model Regularization LION: Implicit Vision Prompt Tuning

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:55:35.041874Z

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Observation b97ad145-ad35-4bfd-ad75-701bd3f6fc6e · outbound

This paper cites an unresolved cited work.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:55:35.134528Z

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Observation 36f3aed8-6473-4865-8543-4ccc6464b8f2 · outbound

This paper cites an unresolved cited work.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:55:35.124350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fff5822a-3bf3-49dd-baa8-6531f2d693c4 · outbound

This paper cites an unresolved cited work.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:55:35.116200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0b4d7d29-596a-4dd7-a70f-ff400ffcc4d2 · outbound

This paper cites LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.

Gradient-based Fine-Tuning through Pre-trained Model Regularization LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T00:55:34.993995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3642042-9213-482a-b4b8-a91a4a117b0b · outbound

This paper cites Zhang, Q.

Gradient-based Fine-Tuning through Pre-trained Model Regularization Zhang, Q

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:35.107974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7bd473ad-91dd-48cb-a330-5ee03b9ad653 · outbound

This paper cites intrinsic rank,.

Gradient-based Fine-Tuning through Pre-trained Model Regularization intrinsic rank,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:35.099901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.