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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 2026-08-06T06:34:29.942622+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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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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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=sha256:0713fa98b3be3ff004ba891eee670731fefe6722bb169b4e6e980fb4beefe3dd

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 2026-08-06T06:34:29.942622+00:00.

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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=sha256:4046233a4807e4a36d16f1e9f09b640b2d16af0edf2f55bd1841ba8810082f23

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=sha256:0a336ef98a8bf72c1c9498240d6f17cc1e4042a4db82b0be34bee68468aabedf

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=sha256:5e00336b97938a155b35e1ac5738115f9d97c8a34fe95846174724c89a35eb2b

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 2026-08-06T06:34:29.942622+00:00.

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:40:44.060944Z digest=sha256:978c945ad5049abf12fde96ef7f9c2347bedef430ce3ea322741b3898d600f01

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:ccf9b3bf1de0a2df5548e8a2ec802837518c30926b618548962b30a608b8d7a8

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:40:44.078728Z digest=sha256:495ada0ea5d83af6564efbc5def2dc161517479acb18fc636ca65d385cf54dd6

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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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:40:44.083914Z digest=sha256:10bd9e5307d7276c6c95136685d0399505dc28021316c743f51424f5e6b792de

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=sha256:28722c87dfb62eea45e2246309853913d08bed39aa720fdea8b4eb0e6b078194

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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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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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 2026-08-06T06:34:29.942622+00:00.

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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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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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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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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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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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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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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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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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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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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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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 2026-08-06T06:34:29.942622+00:00.

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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=sha256:4ebecaf6f1b88dec4af39168164c7c67fe800044a703aa25ec525efed25fc753

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 2026-08-06T06:34:29.942622+00:00.

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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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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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source=pdf_text observed=2026-08-05T23:40:44.227213Z digest=sha256:1077f96f71ef1abbccf402b5a6f94b276c5b877510d09e1a0387e0fead0751ca

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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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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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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source=pdf_text observed=2026-08-05T23:40:44.240475Z digest=sha256:dc1f95d0f6f5c8c056c30536896b9365b7b8df46ea33a973637630c38595f126

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=sha256:0fed9335b602213b5735e4a40472114b4e2f14fa204545a119b93e483556446e

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:40:44.250568Z digest=sha256:9136bfa73a30e6b98c3f239cf5fa6d2f2c05df4e81fb2d6501221df10ba447cb

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:40:44.256735Z digest=sha256:b61ad23baaf1f4c021ed92932d5c52de4fc9065f571f248dda8393c5924c8c20

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:a5c6bbbd6b5f6e9d84e874d22e4ded3d951ddafe2a504128c2516a147400a420

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=sha256:01469b5b5930a7799b497d874d6bbe08ecd4c13262e4797a11a724d610449dcb

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:40:44.270701Z digest=sha256:7b9614b21c5e42f95b49c87330b0c9c67f3d7061f508cb002823a266718b9a66

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:c2a079e569bc232e38ac2ea678e00b0b9c8b3f9926dee745fe758eb4f0213286

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:40:44.280638Z digest=sha256:eabcdbb4f75c227a1db478d4f63c950f5c1222a5b15c216ef58e9e75d88dfe66

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:40:44.290806Z digest=sha256:c9fca052d0c9b16a5dbedc636ed4bcbc2efe28bf4fad18495284a03813ceaa1b

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=sha256:058c4329214148fc5b7309bb422159466e1bfd098d940a5a85d3e77116afe074

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:b5b8c112433ead0e299f9d75c634c7664f0c197da1b9b0acecc584a39d66762a

Pith citing papers

No inbound Pith citation observations are available.