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Paper Citation Record · LEDGER

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach

As of 7 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2608.03204.

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

pith.paper-citation-record.v1
2608.03204 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:40:44.295476Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

45 of 45 outbound references displayed

  • verified exact2
  • verified fuzzy2
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7c16032d-172d-479d-834f-dda25b0ef219 · outbound

This paper cites Phi-4 Technical Report.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Phi-4 Technical Report

Reference 1

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Observation ffe2048c-a7ef-40ee-8940-b68e544e7463 · outbound

This paper cites Qwen3-VL Technical Report.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Qwen3-VL Technical Report

Reference 2

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source=pdf_text observed=2026-08-05T23:40:43.964542Z digest=sha256:d3bce552ba3ef4f39adcfa6158ff23cddf25a5775a7c0a89ed66265b02c101c5

Observation 91e5c02a-1d6c-4e3e-ad6d-72de76bb161a · outbound

This paper cites Qwen2.5-VL Technical Report.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Qwen2.5-VL Technical Report

Reference 3

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source=pdf_text observed=2026-08-05T23:40:43.971794Z digest=sha256:10a0a821e55fc4aa90b6ac3265afaf7ad79e6d17ecbea2174f1955bc13131598

Observation 834591df-be4a-4f61-b6d3-41c24eea1019 · outbound

This paper cites Upper and lower bounds on the subgeometric convergence of adaptive Markov chain Monte Carlo.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Upper and lower bounds on the subgeometric convergence of adaptive Markov chain Monte Carlo

Reference 4

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source=pdf_text observed=2026-08-05T23:40:43.979789Z digest=sha256:530911357c01a742f678dd4c930ab6cc2bdd810c1d3533160074dca8910bba89

Observation d914a20b-4ccd-4f29-a243-9149b267e670 · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:40:43.987538Z digest=sha256:90bb7ef973e067ffec02b74c1f69ac34e45a46057ee5050c2401defa3d6a255a

Observation 3908201f-595c-48cb-89b7-1addb019ed60 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 6

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source=pdf_text observed=2026-08-05T23:40:43.998539Z digest=sha256:78252f0ff44e3e3ae6bafbc6d4cc2905e3dc23d9282333ddc85b441a0cb95f3b

Observation c80240b8-f4ef-42cc-a78e-3bd5ff3f27df · outbound

This paper cites The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

Reference 7

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source=pdf_text observed=2026-08-05T23:40:44.023655Z digest=sha256:ce24e707075807d9a98a1b773f7d666a458e1f5abe21eb9d850dc17eaf2da04a

Observation 918a36cb-6ce6-4e30-9c1a-45cbb39b9797 · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-05T23:40:44.034413Z digest=sha256:7538184e9068039f557073fe06b5e10a2d3e158c44a405a3e5d8b83f8f7d01c9

Observation 1086171f-cdeb-4afc-9f7b-15227b3a79b5 · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 9

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:40:44.053992Z digest=sha256:85694e55e516fdb2badac309ef3a3cfe113113976258fd846ba46f5686577705

Observation 5b2d3d94-7638-4018-8056-49a0a7e2ee92 · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 10

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:40:44.060944Z digest=sha256:b5752c33e9f7c12e78495454ec752ff4e014ef8a95ff42a2d838173c4a4760a0

Observation d6af3ff2-4482-4073-bfd6-3d346c529453 · outbound

This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 11

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source=pdf_text observed=2026-08-05T23:40:44.068693Z digest=sha256:e888ffe7ffada580c93b5a5cd8e42a1e7f483da1abf7b198142ffef493722206

Observation 81b6e140-6c7e-4562-bdee-6d95fe4b8353 · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 12

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:40:44.078728Z digest=sha256:a44c789b9b79c70117cc11a517e56c5366ccdcaca7ed113dffb6b141eb69dff3

Observation ee838593-103d-4b73-9a46-322fef941093 · outbound

This paper cites Test-time reward-guided alignment of language models by importance sampling on pre-logit space.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Test-time reward-guided alignment of language models by importance sampling on pre-logit space

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:40:44.083914Z digest=sha256:cd5c9082904bd6cb58c9e69c9a9e7c1834f7259cc15b8b0dc72a5242abf3ab8e

Observation 07c03f6c-1e5d-4bf0-b4e7-abde8186707e · outbound

This paper cites Reasoning with Sampling: Your Base Model is Smarter Than You Think.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Reasoning with Sampling: Your Base Model is Smarter Than You Think

Reference 14

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source=pdf_text observed=2026-08-05T23:40:44.091812Z digest=sha256:3b4c403f7cb0112c44cf456f0cc01a8787a5af62181bc44a86383dee2606b922

Observation 206ad40e-ef76-4ce1-8e6e-18edc6cc2ada · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 15

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:40:44.099067Z digest=sha256:c00c04594a8c58577a83ca395adbdb35b7fec35076abf12613def60d0976a1d7

Observation a7e8cf04-ad91-4bd8-81ab-68dea6b83507 · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 17

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source=pdf_text observed=2026-08-05T23:40:44.112110Z digest=sha256:c710904f0c6fd47b2b21d67e1bbcbaab65a3c0b1e37354d059d55cd740e154fd

Observation 19c0ef73-1159-460f-b4b6-c4e387c355ac · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 18

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:40:44.119062Z digest=sha256:8633f3157941136f519e9b70c9cb55d4f99642699e28de2b48d7919bd5e163e1

Observation 811c5da5-755d-40e6-b6bc-ffe64a336344 · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-05T23:40:44.125184Z digest=sha256:a79588f6635923bd7418cb0c9ee3f4447df6af8305ff96f7a26a4062c6657673

Observation 09fb523d-e986-4549-ad49-9a53b9f43e37 · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 20

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:40:44.138501Z digest=sha256:e0a460337ad15fcc957265252784d8e66a8124f5134032cf5945a60e5c4cf0ed

Observation 4f5cf02d-ff9c-4ccb-98f0-7f52b5baf3d5 · outbound

This paper cites Self-Rewarding Vision-Language Model via Reasoning Decomposition.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Self-Rewarding Vision-Language Model via Reasoning Decomposition

Reference 21

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source=pdf_text observed=2026-08-05T23:40:44.131394Z digest=sha256:da3a8264a524e651db3b904587139bc58e155db40a29d9437a0246b60b51ae16

Observation 7c8743f6-d70b-4555-b6e2-023318e305c8 · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 22

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source=pdf_text observed=2026-08-05T23:40:44.153732Z digest=sha256:f12e41f86722c33ca2c18dab15f19d77d76a22fcae24d9f570531c2a0804b4f8

Observation 4376d6b7-d3c1-43f0-9a23-8cdd8f9927d3 · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 23

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:40:44.143096Z digest=sha256:10ae24eff0127f7b5b6e33550d006ac71f5e9b9580ca8f358d4c848d4909377a

Observation ed553b15-d1b0-4495-8c8f-ea96c365a2e7 · outbound

This paper cites MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 24

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source=pdf_text observed=2026-08-05T23:40:44.173676Z digest=sha256:73021e2f6daded57faee19d035652c71296f01a48c9e7940d43b1ceb61fe110d

Observation 03417896-7bcf-431b-b508-056e1759f143 · outbound

This paper cites OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning

Reference 25

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source=pdf_text observed=2026-08-05T23:40:44.158157Z digest=sha256:8a023085e9a2d94b032bbd25197cfe32b5ab8e0362a4d4d21cf7c772366c7d52

Observation b4def0f7-0b5a-4926-8b9c-9fbe5c0136f1 · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 26

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source=pdf_text observed=2026-08-05T23:40:44.195837Z digest=sha256:aae4ae4d5f9472b1a334a6590b55905992464b44ea211bdfb0779304bdaffc9b

Observation 67dad757-6907-49ec-8c8e-3250fe472fce · outbound

This paper cites Rosenbluth, Marshall N.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Rosenbluth, Marshall N

Reference 27

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:40:44.183176Z digest=sha256:259f94445fa28d6606ed7e326c8ad2f2316a03a555a24b92e6910474e579294a

Observation 1ce3ba9a-6177-4ef2-8d82-0a221be2d380 · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 28

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:40:44.209851Z digest=sha256:4d34edd416aeea3430ae2cc41a220a5928a9ab97b9be8f33972c251b36c3db44

Observation 527a9f9f-112b-4c60-8de6-a1e7de4bb01a · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 29

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:40:44.203823Z digest=sha256:02ab5492e8d27fe952294740076b0ebad8c5885bdabc3f0e4d96ec7aa5c170b1

Observation ade2b30d-2545-481d-9209-2eceace83698 · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 30

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source=pdf_text observed=2026-08-05T23:40:44.223039Z digest=sha256:c02087b897133a369551a5ec23aeec824adeb698874cbee22fe9ce2f80618867

Observation e292575f-4fda-42a4-952c-ba0d70af968a · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 31

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:40:44.216531Z digest=sha256:cd12120f9be0310655fec240730094ad347650bf2cbb4bb7f5e392c3f46b958d

Observation 79f44172-1fc5-4b8b-bda3-337163c6c9bf · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-05T23:40:44.232260Z digest=sha256:21c2768423fbc94c0afb7c26144744c5e5f2b9499f5c5be701edc9dc4759dfa5

Observation b90d450a-95dd-4a70-accb-41ccb8724fa9 · outbound

This paper cites SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement

Reference 33

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:44.227213Z digest=sha256:ff488b52b7c8afd17ee33c2f9980c3e1940da7353f8d5e44ba7a89c20bb48562

Observation 04bd8e14-79f2-48b0-ae60-912ed279eece · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:40:44.245250Z digest=sha256:de91337fdfa4ba96bc1f91c47f8e9bd0b0bb65bcb505da864b9919b9c23ae218

Observation 4fefa55d-22c4-41d3-947e-649ac10207e5 · outbound

This paper cites GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:44.240475Z digest=sha256:1efc92911b30006498403bcf85894e4d44651a6cec53987943059466f99e9a25

Observation 34b6b973-ebf5-470b-94da-a5874671ad4a · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 36

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source=pdf_text observed=2026-08-05T23:40:44.261857Z digest=sha256:f56a49db0a6fe13f8e424ccfb9f3e1d8ffc103e50ddaf6e931cc93f46be4b0a4

Observation a7f77bf1-5157-40bd-9be4-09e9290b1e7b · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 37

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unresolved
raw_fallback, observed 2026-08-05T23:40:45.636537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:40:44.250568Z digest=sha256:c3a1aedbdd287affa09195293909ca4947ea1223ac56e579f352eab0cadbf5f3

Observation 764b767d-969c-410f-8cf3-5d4ed3aafb61 · outbound

This paper cites InThe Thirty-ninth Annual Conference on Neural Information Processing Systems.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach InThe Thirty-ninth Annual Conference on Neural Information Processing Systems

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:45.618323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:40:44.256735Z digest=sha256:40f176f24f0145504415ea45e4733195eeee21f1e2da072a518018c067177b72

Observation d76a7ce7-2c89-455f-84cf-5656ee435c68 · outbound

This paper cites MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:44.274871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:44.274871Z digest=sha256:c74f2a940879647f31840c256d1e19167c9c1d828bbf9236e854489b4b6e5f67

Observation 85f1ba01-233f-4439-a309-ce6d3d718d43 · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:44.266410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:44.266410Z digest=sha256:ec3df1d4dfa7906f94b44845db579dba6769eb2b1ee1591b97255deeebf8d5e4

Observation 10cf9f9f-c828-49bf-9eb6-3270dbb0e60c · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-05T23:40:45.602369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:40:44.270701Z digest=sha256:5bc0645411d2633a369f9bb22e0cc47db43b3678b82c03b931c286b3d6a366a7

Observation 83759865-2f9f-46c3-93d1-37eb8a27137f · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:44.295476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:44.295476Z digest=sha256:26af039fd55b5e5113d5235f7f3e694b178bb28dd5675b2670f21e4ed4c828fa

Observation 66a9da88-4205-470e-8ac6-2944b179d2cc · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-05T23:40:45.584966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:40:44.280638Z digest=sha256:324c9ef8201928d3cc548206097d7b67d456c768e7c717f5758b2948c667871c

Observation d78e814c-c15c-4f81-b0a6-38c2ac5b09af · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-05T23:40:45.566303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:40:44.290806Z digest=sha256:c14a58abbee9a8f954c5819b8cd8a216ef61e3bc1d989104e4dd60faa7405c9e

Observation bd8fa0a2-c76f-4093-83e4-7f365bb2d9eb · outbound

This paper cites an unresolved cited work.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Unresolved cited work

Reference 1662

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:44.285616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:44.285616Z digest=sha256:6190ce2394e305a96843b926e83017326020709cb07769bff05565e190471d77

Observation b0817614-de8b-4077-8b79-ca8026882d94 · outbound

This paper cites OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:44.046346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:44.046346Z digest=sha256:c2c43c173bef381d13df6e7a53a05ad0fb4fadec230993dcbe92d1038865611e

Pith citing papers

No inbound Pith citation observations are available.