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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-14T06:32:32.682623+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=sha256:76e6b84ebba9d424bc89f4107b6c0e2c01c0a8d2c44fa35818d8a20883fcfa66

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:f66cd04c6bfb2aa274648f9b1e833d635c879d5684e142aac24673c0eb27ec5e

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=sha256:3556b658108b7852ef46c6b12eff1ca0e0e6b886da854847d7cc6e8bb66473e5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T23:40:43.987538Z digest=sha256:1946470f990d8785a7513a628f0241b92a610279e9f74ddc0ade008eac002bb4

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:c65eb5aa8c4604cc336b75c3be93a21ed0cb47f0e42ce23387cca75094221685

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=sha256:6ae741e7f943015a9a73fb87366b60b52c70c02610690ffd30d3d5a18ad3ea9d

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=sha256:1024db420b4604b79120ace432ddd1e55317294e80be41e9f220fa6dab202ee1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T23:40:44.053992Z digest=sha256:7153627206d9776cacc431131ddcab2f2cda92dc2bdc621dd4c0cfc00a03f34d

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T23:40:44.060944Z digest=sha256:ccf346a4e94465c8ee2f17b936d87bec9b6f29080d9a2f88ac3e7ac48e2dcfce

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=sha256:8b875f47a8e60e842cf09a9c37a53d9319ac9608b874c343f78cf080dc4b3fe1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T23:40:44.078728Z digest=sha256:2454bbd034276cb06cceea7e365b6f7690a9def348a6255f115d7119b94e9020

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T23:40:44.083914Z digest=sha256:43d281f2b8b82eaf027aa98d40493df39ef16d085ba9506f8328f68ceec85b8d

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=sha256:70960caaf937b8380ecec0507b39ec2ee1037f2d2788c9d717a9c8f532d5e988

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T23:40:44.099067Z digest=sha256:236fe617f9d93e87e96a2566ba91f04e04207728ab5e880a99a50c656c81e89a

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:f08be43db187a9bb43a14ab98825427a60bbfadff7edbb2aa7b23ea084acd29d

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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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source=pdf_text observed=2026-08-05T23:40:44.125184Z digest=sha256:6a44cc736d6c6251b19bb763325395ce313ec4079c291e96d91c48dcdad8fe71

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 2026-08-14T06:32:32.682623+00:00.

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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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source=pdf_text observed=2026-08-05T23:40:44.153732Z digest=sha256:b6fede32ae094decfd1571a6dd6b41ef555806b9eebeebde8b35b0ccf306393c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T23:40:44.143096Z digest=sha256:5d332a190648b27b45e46c5b749a58a4e029456c100851e24d226a33c69f855e

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:f69c96a4bcdac128773ce2e3c40ce20de43e115ebdcfc881559725e61f7d84ab

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=sha256:9868f7b7c2032876c21830bb6c0fa1ceb6948ca8d5b0f89f78dfb13ef6da42e4

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:d94bedfa911333637b87bca0d387c8019661f26e48c9d5f7b547213d5a37398a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T23:40:44.183176Z digest=sha256:5bb51be9d9abdaf43aaac833355d4d75f61acdb36ce340e5ff06b4a39e68488e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T23:40:44.209851Z digest=sha256:e96ffb8fcdcd271d87972ab06f553264ae00d80a7820e8db91b7d5769d284bb3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T23:40:44.203823Z digest=sha256:e00bf173b7864d79430e0aaf660d7d61304ad1e2b1766dcdedd3e821fe916e78

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=sha256:991ab3c7769f6d3135e234ffca9dccdaf9f0322eb1cf4afb06710d81e7e9d1ae

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T23:40:44.216531Z digest=sha256:4a454232e34ba3a8243b6d973c6807ac60017bae20b4574103ad9af29d55193b

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:f4b83d323c36c8bd6df0b0aa85a8c64e3334a11713d6544d875838c48f85ae0b

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=sha256:49e700bf35efcb9888ae2b87078f6ad55bd1bb96873dd22b1e1d310a36cf225c

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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raw_fallback, observed 2026-08-05T23:40:45.654453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T23:40:44.245250Z digest=sha256:59501a92f6d945c842d82d66ea8d006307c4877258cb6f777f983ba9bc99b367

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:a66c9ffac9e383c175eae8a3424e658c4b4e4e6d4c12dcc966bc147229029261

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=sha256:8a936719941acaa842d8c522f875fc9b180dc8829715e5e6769e7327e9c1241e

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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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 2026-08-14T06:32:32.682623+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.