Paper Citation Record · LEDGER

Grounded Chain-of-Thought for Multimodal Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2503.12799.

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

pith.paper-citation-record.v1
2503.12799 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 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 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:34:36.765233Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f2d0cd6a-a6de-4a82-aeb9-aee55ccb2dbc · inbound

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos cites this paper.

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-16T11:39:22.451307Z

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.

Observation 2ea0c3d6-bc3a-43b0-b421-951261aefd76 · inbound

Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning cites this paper.

Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T00:34:36.765233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33aafc2c-50ed-4f2a-8985-4d80ee31dcc9 · inbound

Bootstrapping Grounded Chain-of-Thought in Multimodal LLMs for Data-Efficient Model Adaptation cites this paper.

Bootstrapping Grounded Chain-of-Thought in Multimodal LLMs for Data-Efficient Model Adaptation Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:57.113550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2774bf3-af99-407d-af29-21f65c5c471d · inbound

Why Do MLLMs Struggle with Spatial Understanding? A Systematic Analysis from Data to Architecture cites this paper.

Why Do MLLMs Struggle with Spatial Understanding? A Systematic Analysis from Data to Architecture Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T11:40:24.078659Z

Source-reported events for the cited work

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Observation 51891bc4-500e-4224-9a61-e537c1f404e1 · inbound

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models cites this paper.

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-05T10:39:02.881423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17b940df-2077-4fa0-ac82-5b632675a6f1 · inbound

Mixture-of-Visual-Thoughts: Exploring Context-Adaptive Reasoning Mode Selection for General Visual Reasoning cites this paper.

Mixture-of-Visual-Thoughts: Exploring Context-Adaptive Reasoning Mode Selection for General Visual Reasoning Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:36:25.208637Z

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.

Observation 59ee0f4e-8e78-40bf-9884-17d6dddf6adb · inbound

Locate-Then-Examine: Grounded Region Reasoning Improves Detection of AI-Generated Images cites this paper.

Locate-Then-Examine: Grounded Region Reasoning Improves Detection of AI-Generated Images Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T10:16:14.393486Z

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.

Observation 0c874784-5226-47e3-b452-a4842a504355 · inbound

VisReason: A Large-Scale Dataset for Visual Chain-of-Thought Reasoning cites this paper.

VisReason: A Large-Scale Dataset for Visual Chain-of-Thought Reasoning Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T20:57:33.489899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8edea675-28c1-49e9-8a8c-c67c7668c18f · inbound

Boosting RL-Based Visual Reasoning with Selective Adversarial Entropy Intervention cites this paper.

Boosting RL-Based Visual Reasoning with Selective Adversarial Entropy Intervention Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T17:15:17.698711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d3f4706-9dff-476e-8931-6d15122eac37 · inbound

SeePhys Pro: Diagnosing Modality Transfer and Blind-Training Effects in Multimodal RLVR for Physics Reasoning cites this paper.

SeePhys Pro: Diagnosing Modality Transfer and Blind-Training Effects in Multimodal RLVR for Physics Reasoning Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:11:22.875299Z

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.

Observation ab30d83a-a8e2-433e-87cb-8c060130f687 · inbound

SeePhys Pro: Diagnosing Modality Transfer and Blind-Training Effects in Multimodal RLVR for Physics Reasoning cites this paper.

SeePhys Pro: Diagnosing Modality Transfer and Blind-Training Effects in Multimodal RLVR for Physics Reasoning Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:47:31.637135Z

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.

Observation 4a50d179-76ff-46a8-bce4-4ffcff692ba5 · inbound

CAVE: A Structured Credit Assignment Approach for Fragmented Visual Evidence Reasoning cites this paper.

CAVE: A Structured Credit Assignment Approach for Fragmented Visual Evidence Reasoning Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:13:44.773975Z

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.

Observation 05970f97-2491-4dfa-be92-e26319b89bde · inbound

Vision Harnessing Agent for Open Ad-hoc Segmentation cites this paper.

Vision Harnessing Agent for Open Ad-hoc Segmentation Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:53:04.527660Z

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.

Observation c014bab5-6996-423b-b930-9bf9c6509f2e · inbound

Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models cites this paper.

Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:38:05.063163Z

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.

Observation b4dbc6f8-3b17-445e-92ae-457a0d065b00 · inbound

ProSR: Process-Shaped Spatial Reasoning for Reliable Chain-of-Thought in VLMs cites this paper.

ProSR: Process-Shaped Spatial Reasoning for Reliable Chain-of-Thought in VLMs Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:23:59.845931Z

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.

Observation 85f17c59-249d-408c-acc2-0d3fe13fe54e · inbound

ROVER: Routing Object-Centric Visual Evidence for Grounded Multi-Image Reasoning cites this paper.

ROVER: Routing Object-Centric Visual Evidence for Grounded Multi-Image Reasoning Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:43:28.642947Z

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.

Observation c3d27d2b-00ff-46ed-bcdf-653d8dd7df31 · inbound

Mags-RL: Wearing Multimodal LLMs a Magnifying Glass via Agentic Reinforcement Learning For Complex Scene Reasoning cites this paper.

Mags-RL: Wearing Multimodal LLMs a Magnifying Glass via Agentic Reinforcement Learning For Complex Scene Reasoning Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T13:43:29.020880Z

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.

Observation 65dd6ab2-5237-4ff1-9f72-0d32f2290ac7 · inbound

Grounded 3D-Aware Spatial Vision-Language Modeling cites this paper.

Grounded 3D-Aware Spatial Vision-Language Modeling Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:13:15.379490Z

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.

Observation d9c0e8e4-f5d4-4704-9801-13007a9e5f77 · inbound

V-Zero: Answer-Label-Free On-Policy Distillation with Contrastive Evidence Gating for Fine-Grained Visual Reasoning cites this paper.

V-Zero: Answer-Label-Free On-Policy Distillation with Contrastive Evidence Gating for Fine-Grained Visual Reasoning Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:20:07.212605Z

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.

Observation d07fa59e-6f8d-4f08-aef1-664a84ff5b83 · inbound

Visual Access Boundaries in Vision-Language Model Reasoning cites this paper.

Visual Access Boundaries in Vision-Language Model Reasoning Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T06:24:28.750079Z

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Unavailable: canonical work link unavailable.

Observation 5c1400db-a6ca-4bb0-afa2-ed604e0e375d · inbound

OPLD: On-Policy Latent Distillation for Multimodal Reasoning cites this paper.

OPLD: On-Policy Latent Distillation for Multimodal Reasoning Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-31T16:13:17.383178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23fadc11-0a1a-41f7-9d4d-9088468e9795 · inbound

Balancing Efficiency and Efficacy: Training-Free Attention-Guided Switching Between Explicit and Latent Thoughts for MLLMs cites this paper.

Balancing Efficiency and Efficacy: Training-Free Attention-Guided Switching Between Explicit and Latent Thoughts for MLLMs Grounded Chain-of-Thought for Multimodal Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T19:03:11.202535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.