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Paper Citation Record · LEDGER

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

As of 3 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 2026-08-03T06:30:56.289259+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:ae212eed4bd0034541a0f9989f09b2c6e14214976ae57e91c270936c09141ccd

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:b87011417f7e2955cd8d3e5553bc4343cf607db29a9c3b535ace094aa094ce91

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=sha256:81c92535347c99aedb1787477a6e590edbb3daff4b7a433bb42b95c7f9e7b41b

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:d8a487ac4ccc0886a192088209c1c676d56f1aa4f40b992e0b47ac8fbdb29e92

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=sha256:7947fc9aac3668de73c0e16f9bd5dc2194ce20e77f255786abaa8103f69fffe9

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=sha256:6bb8648f05f05e053d730670c2216c6230f12912efdb9fae263128f8e1c9b501

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=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:3fa4188631f5186dbfb20c7d7ce3f643fff41712674810c0a119c2195ae76923

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:ede486ee51cc286f1ee7087b6526b8d2c74a51b49d8f91e21364a6608ad0bbc4

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=sha256:7beb6620bc601e1d655514fa577387850a54c206997ddf806e42acf95f31235a

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:e8df3e8afa5aed71bdec73b1bb80eaac913bfd5e464786e95173d03c09b90465

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=sha256:21e6fdd43409a38fc05840180c8afff5995ef122587be8a36ad254d4559d85d7

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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source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:5a0cc8b39fcbdca6095f0b8e1d7b5bed3484fd29e0c95ead743f071bccf4cac5

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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source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:742080f5d3f23e492fd143f6736700de526391b2d38450af7bd8544189bbc6f4

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:af6e8149a7a66e16cda7e327566fef7e27b83302f42bcee88f86a5891074d414

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:cc80d546e144fac5de9d4c6189e8db534f139811d755e8a9b482f3f567b27da0

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=sha256:9f29b41d153a0f6dd82be456bc2bbb1bf70f64a065ebfb7bce6a65907096e06c

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=sha256:609a52b0e6c3f499e7f323be2ac0a86022a8cba426af335a86d82e528f050a2d

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=sha256:86b62630e065668314b8cd4da7d80225a0e766e97b558e9a87d3f39885ba2fd9

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=sha256:2b017350a1a36405687d79d1843869059573705e3f9a8994481f141c5e1d028a

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=sha256:86baac056f25b8297261a51d0a2bc499bcc2c35715284f64c96a30014d298d09

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=sha256:4d06931da80fbff223a1319b4faa62ef335f1dcb6e9f804dae8cafbe716ffeb0

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=sha256:8f1359ce2b17d258f6305a26d10bfad1d327c5ec916560e8ce3b46fc2002ebb0

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=sha256:36283780fb71d2c6b6cb9e6b0e583d31884bda19e94c948d7aec6a96bf8792c2

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:ff85fc98a6ee3f51fcb48f1c3261df852abb6d61409d629f42ab02a042094395

Pith citing papers

No inbound Pith citation observations are available.