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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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:f7c2849be532de77a80c65f10665b11fe387ba079c5ed00440fd96b32d358a98

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:55:34.906986Z digest=sha256:2fc4015a5bcd2da9453917a1e727c79cf8e5cd73a02021b0909c356c0bb1e53a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:55:34.909723Z digest=sha256:4bc87c888c3a52425b4be2933a52eb4d5c7517e5b80e06653e62e8d4f85ac71f

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.

source=pdf_text observed=2026-08-07T00:55:34.912269Z digest=sha256:f6580fc2d3d4bb06859d756830efc4063a09cb480773022b0b3b2ced90a20e06

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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
raw_fallback, observed 2026-08-07T00:55:35.287891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:55:34.922744Z digest=sha256:33b763868f50c3feb0e7d2888833da9df2164e2ac51f83c13afc58e6a23ab354

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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.

source=pdf_text observed=2026-08-07T00:55:34.932804Z digest=sha256:c581359ee99cf83a2274acb4ce68b2c479c09e7e91c0b4f472015e7ca6cff87f

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 2026-08-08T06:32:00.761636+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
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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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
unresolved
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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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=sha256:2c8d1118b7602fe4be10a0ac386797b6bfba200e8bba378235b0aa0fe0cd0c82

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:aa7958a47936dd791d4658cb70975fe71e0c4032a15dcc683545c34ac4841f9f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:55:34.956454Z digest=sha256:ba3ba6ad5f7341f66a8692739136a7288cc1c0ee53d126af49e8e9fd2924aa93

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:55:34.958782Z digest=sha256:9c30827ffd04964ff1620b61c37b37f8ac9fe1af869adba1c7abd0c63ef690ce

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:55:34.961281Z digest=sha256:d96a4e1e2d8bb11f8401ba3c878e00629f98a4a6056944b74546362a74b35c19

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.

source=pdf_text observed=2026-08-07T00:55:34.964058Z digest=sha256:3148f2581aae133a38d55aeb7cb6b280848ab7750a417c1e50da8863903f6f67

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.

source=pdf_text observed=2026-08-07T00:55:34.967510Z digest=sha256:cdcd3cdeb8d023972d2cf2897b733f2c5ec00942ae743d067151f949b155c39b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:55:34.970459Z digest=sha256:d06082885e666f166e518b92da3bd1383bd9ba00bd447eab27cccb94fec8eaf2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:55:34.973090Z digest=sha256:a154907a60d6b75dd5e416229c27882ddfd83fa19fc31078cc65a629c493cc74

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:55:34.975708Z digest=sha256:c4e1c7d352ce3b23c0961a5f653b01503bb736b220a5bac800f0805dcbe52064

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:55:34.978293Z digest=sha256:e83d078dddbef0fce6db443c6a1f088fa6553b018c24dac9628384c2c5d4849f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:55:34.980691Z digest=sha256:a90a90f7bf746c7cb1cdb8d97e9d482cd49afe0b4678a30db6b4a4d4187c0d0e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:55:34.983262Z digest=sha256:d168d6d65584741164b896afd461a9819b11ccb572d3343c9b7484546b76d04e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:55:34.986343Z digest=sha256:23362b7c27b0f44b6cbf77e6f3921fd5bf46d5bd6f2cd9f8a4532a5d56fb707c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:55:34.989089Z digest=sha256:bf0238f6a9acfb9021269eb0321261bd2da6f4070c319730478743135fb6bdaf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:55:34.991487Z digest=sha256:92dc9ad29b07d9cba321a6b161d62cbd71a4db30505a6a30d1ca0a059df3975e

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=sha256:16e0d80f458b44b2fe9181ef2b758bed5826d5cc727fd3e6c2eea15aa964ccd4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:55:34.996753Z digest=sha256:6b9e2b0034edbca9427a695b5ef039e0f0a7f0e59143574820b7a10a5aceb432

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:55:34.999175Z digest=sha256:4159ccc025507f6b1dc949e5184842481c835106988fc0dd4c86b89910c4b483

Pith citing papers

No inbound Pith citation observations are available.