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Paper Citation Record · LEDGER

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

As of 21 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 2026-08-20T06:33:59.587034+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
  • metadata mismatch0

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
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Source-reported events for the cited work

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

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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
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Source-reported events for the cited work

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

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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
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Source-reported events for the cited work

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

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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
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Source-reported events for the cited work

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

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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
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Source-reported events for the cited work

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

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

This paper cites an unresolved cited work.

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

Reference 6

Resolution
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Source-reported events for the cited work

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

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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

Resolution
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Source-reported events for the cited work

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

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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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

Resolution
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Source-reported events for the cited work

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

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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
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Source-reported events for the cited work

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

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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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

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

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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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:55:34.902171Z digest=sha256:59c725439506d3a2b2ce02b481325428f972bf597badfc8060f6e0960a801570

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
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Source-reported events for the cited work

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

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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
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T00:55:34.906986Z digest=sha256:696296f609800cf48b1f20fe41810558837fb37b6619a9f1c4b1704e0071251b

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

Source-reported events for the cited work

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

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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

Unavailable: canonical work link unavailable.

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

This paper cites an unresolved cited work.

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

Reference 18

Resolution
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Source-reported events for the cited work

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

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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
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Source-reported events for the cited work

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

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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
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Source-reported events for the cited work

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

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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
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Source-reported events for the cited work

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

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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
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Source-reported events for the cited work

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

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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
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Source-reported events for the cited work

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

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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
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Source-reported events for the cited work

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

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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

Resolution
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no resolver link, observed 2026-08-07T00:55:34.932804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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 2026-08-20T06:33:59.587034+00:00.

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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
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Source-reported events for the cited work

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

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

This paper cites an unresolved cited work.

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

Reference 28

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

Source-reported events for the cited work

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

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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

Resolution
unresolved
no resolver link, observed 2026-08-07T00:55:34.942934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 224f17ce-3fb7-4467-859a-21d0a809db07 · outbound

This paper cites an unresolved cited work.

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

Reference 30

Resolution
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raw_fallback, observed 2026-08-07T00:55:35.224074Z

Source-reported events for the cited work

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

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

This paper cites an unresolved cited work.

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

Source-reported events for the cited work

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

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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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:55:34.951131Z digest=sha256:737aef7b6b79fcd9f9479081067bc60c65215665ac9f219a7f6705f5cf697332

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.

source=pdf_text observed=2026-08-07T00:55:34.953724Z digest=sha256:56228941597cf3c304276576d7e7727153625e9eaf5be11904fdefa19bdd1042

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

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

source=pdf_text observed=2026-08-07T00:55:34.956454Z digest=sha256:9544bd5abab21f8c4c474c7fd27058206d58539a6f087926a402ffdc0c2b0cc6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T00:55:34.958782Z digest=sha256:a396e31136381ee462122f5b26e4651cf41f92de565cd7646700ec462c06b504

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T00:55:34.961281Z digest=sha256:a3346ad349495a097ee1641873382e52414dcb118e174b84ad07436515d18505

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.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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 2026-08-20T06:33:59.587034+00:00.

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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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T00:55:34.973090Z digest=sha256:dd93bd502e01b904930593a24b7f10056583ca7cc5492338a016f0bba91d96ec

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

This paper cites an unresolved cited work.

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

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:55:35.160096Z

Source-reported events for the cited work

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

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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

Source-reported events for the cited work

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

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

This paper cites an unresolved cited work.

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

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:55:35.143328Z

Source-reported events for the cited work

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

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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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T00:55:34.983262Z digest=sha256:f6154e0b44731a53eec9986e3cb1d3e0748d2b92223842fada477674355c6ece

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T00:55:34.986343Z digest=sha256:9fb22b6d68ca63dae3c92a9c67d345b2637845178563e497b6effd7c10b9c8cd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T00:55:34.989089Z digest=sha256:8353185e5cbe54cf320855ba6821148b316f5af7a3b7fdb75d40f62ba74c883c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T00:55:34.991487Z digest=sha256:19ec2e1048ad2b0eef957bc19fec8c7f8e4bbe21e8b06ea823724902e1af53fa

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.

source=pdf_text observed=2026-08-07T00:55:34.993995Z digest=sha256:ef96bf59dd16aaa74d3f1b27f261e253663fdae7fbd4c117028c358a83a8f6bb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T00:55:34.996753Z digest=sha256:0f4cfbd1ce707b3721eab5cd870fa3ce316f9552ef787192afbbf29033a492ef

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 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

No inbound Pith citation observations are available.