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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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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Unavailable: canonical work link unavailable.

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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=sha256:77738b6a3b85800e5e07cb0efe881fcf3839a84a1fb1e81c1189246ac6d9b04b

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:eea8b57908c7b58c407e039c9551852f581396c1e2096548d4edecc174162991

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=sha256:0a9f7670ca1db774c7593064aa85bcae9b933d372d6ef170b77b463f5d20b058

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:40:43.987538Z digest=sha256:fca3bef40e7324fd5721a9b144df78e8ef22917415ae2f584cff354aceca8091

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:43.998539Z digest=sha256:8463c2973c7fd0f9b89833388fc0fe48f21dd928c0753c83bbbcdbcef084acda

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=sha256:6fcb384cac79be7977ebb2cf9dc2513b75aec0ad903ba8188e8f16660bd5bc85

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:b53c860ed0b1c789638a321c2087d453f58d47e3d42315958efa3bb2778dfd54

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:40:44.053992Z digest=sha256:7db6ac5b868a3a5dcdce3521fbe43b3b8f8a37ddae231c7f5a0eb9a53e137245

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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raw_fallback, observed 2026-08-05T23:40:45.412143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:40:44.060944Z digest=sha256:e26a61ffd8597dff3d93c52192c413b2feaa72c5a305f72d4b0751167d5ac2ee

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=sha256:02fc20c5c3654c24dda3669977f6786c86d4655f5f83837ff6f638be3e2e5374

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:40:44.078728Z digest=sha256:2ae0dbbd94f887726603e5bfbdfd5de412b7e657282e065fc06464753b1e940a

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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local_arxiv, observed 2026-08-05T23:40:45.272944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:40:44.083914Z digest=sha256:65cd269748df227f2225fc0df276f3236f93dce14cfe91c073d1f7cf828adbfe

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=sha256:9cb99817d08ca8d5914161d1d78bfabbc931740c41942d40a32b5b5743e90a89

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:40:44.099067Z digest=sha256:5c466764b0f9c77fb277d8b253118b931519897571318bd5ca4b362308cd876e

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=sha256:4b55f8aa21b602445d418b07b1e5493b6c6114672b457e3b1d1b80cee05d77b0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:40:44.119062Z digest=sha256:932fd03625cbeab4b64ee789feaaf82b51437a1b8e578402015b2133aafa701a

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:a32a1e458da53f058b72f78b87e354885b1ab9960b9352f6408a2884fddb712c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:40:44.138501Z digest=sha256:7dac6c438ca0460f739e11eb4f856b53707f6131ad9fa5c665ef26c003c1795e

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=sha256:288563c5f85ee6cc08741c99a2656d77dac3e351f530eb945293a86ca1f466e8

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=sha256:5529be440c201288bebfbb8e497363191e189ca366614a3c33bd0e5d17659410

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 2026-08-09T06:31:02.800959+00:00.

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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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source=pdf_text observed=2026-08-05T23:40:44.173676Z digest=sha256:d1ef193ebde40f95929bb245b75246725d34ff847368b732f1972853f6881041

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=sha256:9366b074fd2cc7779994b406429abae1a98431389d3d55dd6c1b09c648bc2f8d

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=sha256:6eb20168543ba47583e43911a0e0dc4f72360eb595a94e8149be832760358daf

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:40:44.183176Z digest=sha256:54ce829de271e6bc5fd5c4a3fadb6bec2d9c16e9332aedd5dd3bb8e08d8dbfd4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:40:44.209851Z digest=sha256:a9d9abe5e0fce139d84f63ef40f4a6ac21df938223ed64d9998a7b78eb2b8def

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:40:44.203823Z digest=sha256:a57a4622d5ae018389fbc015e71e81cd9d95f97d97b67ca6e647f4dede4f9560

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=sha256:6b6213b4e0bd14220b8f84fc5a53736ff095efe0f14c4c58a9266397fc7b2c95

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:40:44.216531Z digest=sha256:105f6b6556553831f8542a557e1ac0d8ba0cfd6189ddd4e949e1085b2e1b10e1

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:44.232260Z digest=sha256:1d3940f0c38390c27bb8ef8111ae2930ffd56020b429cddbf418e8515babc283

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=sha256:13ee00ce4ce526a3ab62261a403c197c26ed240a1ebb7e9fd199052ee14eac4d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:40:44.245250Z digest=sha256:3060c8625b7c4f20a3cac7c63d2ed984a601cacadd9f728d4a6bcb9fe3f754d1

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:ae13a6d64e76c84267bdc33354bad10d13f30e18aed6ec6154bc9686e839a456

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:44.261857Z digest=sha256:2b3cfb05bd5632fdc16d87509975f9fb2029cf677f1499d538d3140612d6d3e4

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 2026-08-09T06:31:02.800959+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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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 2026-08-09T06:31:02.800959+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
no resolver link, observed 2026-08-05T23:40:44.274871Z

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

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
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:40:44.270701Z digest=sha256:05495ace0e049eba957756cc157db00e8e2aa5274d088d143ca2008cd15dbc77

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.

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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:40:44.290806Z digest=sha256:cacaab9e92c6b8bb1205e469ea6f0a20fc7144ee277f5bab99f366d83901c4f3

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.

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

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.