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Paper Citation Record · LEDGER

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning

As of 10 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.03600.

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

pith.paper-citation-record.v1
2607.03600 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T01:16:40.492300Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 58880d21-80e7-4829-bbe6-1d49589a45c8 · outbound

This paper cites Bhagwatkar, S.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning Bhagwatkar, S

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:35bab00eea3f491ae6ccaac3ece33269663071a84e74035b8da725dc2901f9dd

Observation b5cd8619-bff7-477f-8444-f55f121903ef · outbound

This paper cites Ganin, E.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning Ganin, E

Reference 2

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source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:f1361714a992e79e941300a2d1647eee550fa80d729dd90005200da0414ebca2

Observation 5fa7e9b4-5704-43b6-8b3c-8f9c70c6194c · outbound

This paper cites an unresolved cited work.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning Unresolved cited work

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:f15b4afd3d947ffb391d947a26e19c5dca8b7e97c00b3c7de0336c778d7d0140

Observation e334baeb-9841-4925-8263-4aa762bcca92 · outbound

This paper cites Huang, Y.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning Huang, Y

Reference 4

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source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:0495c51bcda6dd219f966a3505e08075d8cbf9b140401f88e805bf780105a84b

Observation f33c08a9-e2a6-466e-a733-be863fcc6137 · outbound

This paper cites an unresolved cited work.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning Unresolved cited work

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:b1d8e2a41eb216b8602231282d304b47107563d7dd3db7578f4bfc8f0bf0fc58

Observation 376db15b-56e6-4427-8e5e-30109122dbae · outbound

This paper cites an unresolved cited work.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning Unresolved cited work

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:c49d5a975502a3e9103e0ece1e0ed7a36486275c3e232a56ef51fcb5b3c8c259

Observation d1ea001a-bccd-45fa-883b-591780d642bf · outbound

This paper cites an unresolved cited work.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning Unresolved cited work

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:710b738d890e13dcda16ee7c2aef0779d1eda71817c0a8ca7555bf5570ccd234

Observation 6d5fd285-34db-4cff-a5c5-7f8cb1b64ae2 · outbound

This paper cites an unresolved cited work.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning Unresolved cited work

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:6416cfe19a8eacdf345077206a8c321060d914c4e91594d97bd6ff5f8ae56f44

Observation 032d560b-8728-48ea-a87e-c2743088567d · outbound

This paper cites Liang, T.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning Liang, T

Reference 9

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source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:3825bbbcb935c9aca8bf8e7b3428ef9a42915862aa0cc99c678ac1e2bbfc0f18

Observation 374cbb61-ea5b-4857-8dcf-268f5c58ab27 · outbound

This paper cites Lo and V.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning Lo and V

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:9a6e8d7a37d95ca966046714417ec71d5151cebdf7f0e59f5b23e54ab1afcd36

Observation 813fcdbf-ebe2-460f-84d4-1acd99a29b9a · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 11

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source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:f19ca9f6eebec6d12e60c3bc4fcdbcf904e7d35f0aadba6ae15ea3c13380bd6d

Observation 4c8ac5ed-ecbc-4f0c-8a81-201dcf909ecf · outbound

This paper cites Madry, A.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning Madry, A

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:0ddff483c16a989543921cbe277d9ddf0a1a51fc0f84d622d1517a8faa1f9d50

Observation 6fbec9dd-de6c-4e66-b5c1-784fd358dd12 · outbound

This paper cites VisDA: The Visual Domain Adaptation Challenge.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning VisDA: The Visual Domain Adaptation Challenge

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:9fd9bbb4a6a0966e001845b42697f07fab035ef0a3463345e2e3de5b06d900a0

Observation 701bbc89-e46a-4900-9a91-58675ee0a4c6 · outbound

This paper cites Radford, J.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning Radford, J

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:c2f91e4106bcd74f619cd847bb35b764d43a0046d756165bc20e5fdf91bf945a

Observation aef59a7e-69d1-47ee-8e43-74fda4f69b60 · outbound

This paper cites Saito, D.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning Saito, D

Reference 15

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source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:9b841bf250bc220319cab37b3b7555e137abaf2bae0ae1cdc0357b3937ac3633

Observation 4ac2d30b-6440-46da-a1cd-4dd36c0c6ef1 · outbound

This paper cites Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models

Reference 16

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source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:1abf926d5011fc671cbb27af4d80b8e322a87389db78479c5139291cdd7df153

Observation 46ef3a3a-1afa-46ff-a0b8-dd1fd6defdc6 · outbound

This paper cites Tanwisuth, Y.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning Tanwisuth, Y

Reference 17

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source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:de4670acd76efae3ec7620905b0d9e8a5d766560344c48a12b8e180b0761bbbd

Observation 7f3a697a-5c34-4ac2-9adb-72d3f1913703 · outbound

This paper cites V enkateswara, J.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning V enkateswara, J

Reference 18

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source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:2fddb66ab68f079eb025a4a3d3e20ad0d8418de3e5d2bc2b21bab56aebfb1098

Observation 23047eca-ef7c-4d7d-9797-f0c18629f2cb · outbound

This paper cites an unresolved cited work.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning Unresolved cited work

Reference 19

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source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:04e3000a07b7ac356961729ea252663050508333cb7a3d1e2d925f63bc3488aa

Observation 8dfc9418-d73e-4209-8ee1-5db60b21c544 · outbound

This paper cites Wang and W.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning Wang and W

Reference 20

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source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:d169652d9ecf2043cf426ee590b2de35427e1b5e2266bbc37df40553f2f2f438

Observation e0cf0902-1bb2-4f57-a727-c7e24d08e625 · outbound

This paper cites DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation

Reference 21

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source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:f3c31beec1f4e8e11848f2b709afc05d2cacf8121579975584d007307a08ac88

Observation 6782eaf6-4596-4d98-86c3-3f1b133298b8 · outbound

This paper cites Y ang, R.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning Y ang, R

Reference 22

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source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:f4cf8f2cccc21c6e742bfaac5e830527ed48d4b0bfb5baa48cc833e894d1d1d9

Observation 863b7fa4-874f-47d0-98f8-9321885a521b · outbound

This paper cites Zhang, Y.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning Zhang, Y

Reference 23

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source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:9e40f8c6e0ad98896133f76fc806cb6c63285c2d723bb016edcebb8d639731b8

Observation 96c081f3-bbf1-4f59-a52b-af7de84dca8d · outbound

This paper cites Zhu, J.-L.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning Zhu, J.-L

Reference 24

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source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:23c815c538eeb5723cf9761757b196bfbb6a15a5dbdcb7eb2a312e376f79ac54

Pith citing papers

No inbound Pith citation observations are available.