Paper Citation Record · LEDGER

Diving into Self-Evolving Training for Multimodal Reasoning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2412.17451.

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

pith.paper-citation-record.v1
2412.17451 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T10:58:29.367654Z

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

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 f1986e7c-ec77-42a7-98a7-b29c2dbfc94f · inbound

CosyAudio: Improving Audio Generation with Confidence Scores and Synthetic Captions cites this paper.

CosyAudio: Improving Audio Generation with Confidence Scores and Synthetic Captions Diving into Self-Evolving Training for Multimodal Reasoning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T10:58:29.367654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b622981-74cc-499c-9762-b210c1de0bbc · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models Diving into Self-Evolving Training for Multimodal Reasoning

Reference 176

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:36:24.226918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8745bd44-0a92-4216-839b-d168c0e96028 · inbound

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey cites this paper.

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey Diving into Self-Evolving Training for Multimodal Reasoning

Reference 241

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:18:53.551812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0ad5efed-1cde-4734-b7ec-3e0100d528ac · inbound

Realistic Evaluation of TabPFN v2 in Open Environments cites this paper.

Realistic Evaluation of TabPFN v2 in Open Environments Diving into Self-Evolving Training for Multimodal Reasoning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:16.756120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1208e7d4-dfad-4aa9-ba0d-592b73ae6df9 · inbound

GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking cites this paper.

GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking Diving into Self-Evolving Training for Multimodal Reasoning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:12.938364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7716c05-1979-4b7e-9fbe-c8f56a9c90d3 · inbound

GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning cites this paper.

GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning Diving into Self-Evolving Training for Multimodal Reasoning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T00:59:52.403063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 682d4100-6566-402a-92b2-bc73aefc2ca9 · inbound

EVE: Verifiable Self-Evolution of MLLMs via Executable Visual Transformations cites this paper.

EVE: Verifiable Self-Evolution of MLLMs via Executable Visual Transformations Diving into Self-Evolving Training for Multimodal Reasoning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:25:54.902622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5aa54b37-2009-42e7-9242-1e423e50f7bc · inbound

Compared to What? Baselines and Metrics for Counterfactual Prompting cites this paper.

Compared to What? Baselines and Metrics for Counterfactual Prompting Diving into Self-Evolving Training for Multimodal Reasoning

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-09T19:05:10.663287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aad56041-7083-42d2-bfe0-3fb4067aa380 · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes Diving into Self-Evolving Training for Multimodal Reasoning

Reference 156

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:57:41.314324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7ce451c5-430f-4eee-9485-b72b089c4062 · inbound

Paying More Attention to Visual Tokens in Self-Evolving Large Multimodal Models cites this paper.

Paying More Attention to Visual Tokens in Self-Evolving Large Multimodal Models Diving into Self-Evolving Training for Multimodal Reasoning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:39:50.974194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.