Paper Citation Record · LEDGER

Recursive Vision Language Models for General Symbolic Reasoning

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2608.01534.

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

pith.paper-citation-record.v1
2608.01534 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:11:27.198968Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

39 of 39 outbound references displayed

verified exact3
verified fuzzy8
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e4417778-bbfb-4451-8ae9-3e4b983a85e3 · outbound

This paper cites Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging.

Recursive Vision Language Models for General Symbolic Reasoning Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:24.638371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f1a8d92-d518-4220-894e-a7a52866f592 · outbound

This paper cites Boosting Inference with Guided Reasoning: Stochastic Exploration for Recursive Models.

Recursive Vision Language Models for General Symbolic Reasoning Boosting Inference with Guided Reasoning: Stochastic Exploration for Recursive Models

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T00:11:29.044024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 139d0c8a-5134-4b00-9315-e9daa39fa9f9 · outbound

This paper cites InInternational Conference on Learning Representations.

Recursive Vision Language Models for General Symbolic Reasoning InInternational Conference on Learning Representations

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:11:30.068229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 915d2487-1a2e-407c-be7e-c95f3710900e · outbound

This paper cites Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers.

Recursive Vision Language Models for General Symbolic Reasoning Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T00:11:28.925583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 23423d55-61eb-4ee2-a099-cce5ce947c1b · outbound

This paper cites Solve the Loop: Attractor Models for Language and Reasoning.

Recursive Vision Language Models for General Symbolic Reasoning Solve the Loop: Attractor Models for Language and Reasoning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:24.957221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f483405-378b-4567-b892-39d0b5bcd7ec · outbound

This paper cites InProceedings of the 43rd International Confer- ence on Machine Learning, Proceedings of Machine Learn- ing Research.

Recursive Vision Language Models for General Symbolic Reasoning InProceedings of the 43rd International Confer- ence on Machine Learning, Proceedings of Machine Learn- ing Research

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:25.036760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18f32ed1-8e6c-47bb-b03b-50a3504dd00b · outbound

This paper cites InProceedingsofthe64thAnnual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 7073–7087.

Recursive Vision Language Models for General Symbolic Reasoning InProceedingsofthe64thAnnual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 7073–7087

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:11:29.925418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 919f3c06-7e37-430e-9319-d80716414bd5 · outbound

This paper cites Hammoud, H.

Recursive Vision Language Models for General Symbolic Reasoning Hammoud, H

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:25.248124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e06b1a0-544c-4c45-a781-0d7901508fa3 · outbound

This paper cites Train Long, Think Short: Curriculum Learning for Efficient Reasoning.

Recursive Vision Language Models for General Symbolic Reasoning Train Long, Think Short: Curriculum Learning for Efficient Reasoning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:25.281204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2f7bfec-b42e-48e7-b598-8c1c978302d5 · outbound

This paper cites Flow Reasoning Models: Scaling Reasoning Through Iterative Self-Refinement.

Recursive Vision Language Models for General Symbolic Reasoning Flow Reasoning Models: Scaling Reasoning Through Iterative Self-Refinement

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:11:28.555620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e05b0f9e-df9d-4391-8059-37e6e2573a3d · outbound

This paper cites InInternational conference on learn- ing representations, volume 2024, 32808–32824.

Recursive Vision Language Models for General Symbolic Reasoning InInternational conference on learn- ing representations, volume 2024, 32808–32824

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:11:29.781763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2413099f-a97e-42c0-a1d4-fb8c3d658266 · outbound

This paper cites InInternational Conference on Learning Representations (ICLR).

Recursive Vision Language Models for General Symbolic Reasoning InInternational Conference on Learning Representations (ICLR)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:25.584090Z

Source-reported events for the cited work

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Observation d451516f-3a8c-4d6d-8e73-3405898afa3d · outbound

This paper cites Less is More: Recursive Reasoning with Tiny Networks.

Recursive Vision Language Models for General Symbolic Reasoning Less is More: Recursive Reasoning with Tiny Networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:25.629406Z

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Observation 3585f5cc-8764-4ebc-b909-11ab0b5407d0 · outbound

This paper cites Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping.

Recursive Vision Language Models for General Symbolic Reasoning Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:25.712261Z

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Observation 81ccf660-fcc8-4921-8e1c-824553e487e5 · outbound

This paper cites InInternational Conference on Learning Representations, volume 2025, 20981–21024.

Recursive Vision Language Models for General Symbolic Reasoning InInternational Conference on Learning Representations, volume 2025, 20981–21024

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:11:29.601577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3ac72aef-fd63-460c-a496-1705f3275151 · outbound

This paper cites MaxSAT-Based Feedback for Guiding Vision-Language Models in Sudoku.

Recursive Vision Language Models for General Symbolic Reasoning MaxSAT-Based Feedback for Guiding Vision-Language Models in Sudoku

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T00:11:28.272032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 20ccbef9-1536-4ae3-b2cb-e2a5bb8fa05a · outbound

This paper cites Rauba, P.; Fanconi, C.; and van der Schaar, M.

Recursive Vision Language Models for General Symbolic Reasoning Rauba, P.; Fanconi, C.; and van der Schaar, M

Reference 24

Resolution: verified exact; raw_fallback, observed 2026-08-06T00:11:28.143015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0c5bd610-d57d-42e1-bbef-7e3c31d0d5ab · outbound

This paper cites an unresolved cited work.

Recursive Vision Language Models for General Symbolic Reasoning Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:26.177233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d524729d-6e70-419e-99c8-36bfcc5a8757 · outbound

This paper cites In Findings of the Association for Computational Linguistics: EMNLP 2025, 12534–12545.

Recursive Vision Language Models for General Symbolic Reasoning In Findings of the Association for Computational Linguistics: EMNLP 2025, 12534–12545

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:26.215874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e91b9e6-d531-4936-bd7f-b9a8727341ff · outbound

This paper cites Probabilistic Tiny Recursive Model.

Recursive Vision Language Models for General Symbolic Reasoning Probabilistic Tiny Recursive Model

Reference 27

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T00:11:27.815663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 59f0eba3-8e95-43e0-aa46-bf2a752c4a5e · outbound

This paper cites Dense Supervision Is Not Enough: The Readout Blind Spot in Looped Language Models.

Recursive Vision Language Models for General Symbolic Reasoning Dense Supervision Is Not Enough: The Readout Blind Spot in Looped Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:26.384657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12bb0212-1317-497b-9f66-dd925c6c941a · outbound

This paper cites Venkatraman, S.; Jain, V.; Mittal, S.; Shah, V.; Obando- Ceron, J.; Bengio, Y.; Bartoldson, B.

Recursive Vision Language Models for General Symbolic Reasoning Venkatraman, S.; Jain, V.; Mittal, S.; Shah, V.; Obando- Ceron, J.; Bengio, Y.; Bartoldson, B

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:26.450742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7876c73b-e00b-46ce-b358-58454b9d38c1 · outbound

This paper cites Wang, G.; Li, J.; Sun, Y.; Chen, X.; Liu, C.; Wu, Y.; Lu, M.; Song, S.; and Abbasi Yadkori, Y.

Recursive Vision Language Models for General Symbolic Reasoning Wang, G.; Li, J.; Sun, Y.; Chen, X.; Liu, C.; Wu, Y.; Lu, M.; Song, S.; and Abbasi Yadkori, Y

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:26.488543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09f73344-8b49-4cb0-a00e-f07c42ff246e · outbound

This paper cites SpiralThinker: Latent Reasoning through an Iterative Process with Text-Latent Interleaving.

Recursive Vision Language Models for General Symbolic Reasoning SpiralThinker: Latent Reasoning through an Iterative Process with Text-Latent Interleaving

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:26.038367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f4f134b-385c-484c-a979-85f2fc19b4c9 · outbound

This paper cites Hierarchical Reasoning Model.

Recursive Vision Language Models for General Symbolic Reasoning Hierarchical Reasoning Model

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:26.555817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b075a24e-5bf6-443a-9d12-9c578cf353e1 · outbound

This paper cites Wei, A.; Wu, Y.; Wan, Y.; Suresh, T.; Tan, H.; Zhou, Z.; Koyejo,S.;Wang,K.;andAiken,A.2025.

Recursive Vision Language Models for General Symbolic Reasoning Wei, A.; Wu, Y.; Wan, Y.; Suresh, T.; Tan, H.; Zhou, Z.; Koyejo,S.;Wang,K.;andAiken,A.2025

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:26.664198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac9d0edf-47e8-4f22-b7f7-a508be9e287f · outbound

This paper cites Yang, C.; Srebro, N.; and Li, Z.

Recursive Vision Language Models for General Symbolic Reasoning Yang, C.; Srebro, N.; and Li, Z

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:26.732916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56123e6b-4c91-435a-ba07-823672907efc · outbound

This paper cites Recursive Models for Long-Horizon Reasoning.

Recursive Vision Language Models for General Symbolic Reasoning Recursive Models for Long-Horizon Reasoning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:26.770855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07971782-4ae8-41eb-bdc5-73f3704dfd11 · outbound

This paper cites Recursive Language Models.

Recursive Vision Language Models for General Symbolic Reasoning Recursive Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:26.840297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9d22d5d-9b23-4398-a6d0-fe58e0409cd5 · outbound

This paper cites Energy-guided Recursive Model.

Recursive Vision Language Models for General Symbolic Reasoning Energy-guided Recursive Model

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:11:27.346437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1412525b-8696-491c-86ca-ac074fd6d39c · outbound

This paper cites R-Qwen instead uses a pretrained autore- gressive backbone and represents each recurrent state as an explicit serialized candidate.

Recursive Vision Language Models for General Symbolic Reasoning R-Qwen instead uses a pretrained autore- gressive backbone and represents each recurrent state as an explicit serialized candidate

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:11:29.467061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 582b0d86-74d0-4bad-8192-140816fd59b5 · outbound

This paper cites an unresolved cited work.

Recursive Vision Language Models for General Symbolic Reasoning Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-06T00:11:29.307558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f58a2fba-d556-4b28-a22f-53ea0cbf33b0 · outbound

This paper cites Using 16 particles and 48 outer recur- sionsteps,GuidedMAPimprovesSudoku-Extremeaccuracy from 85.9% to 98.0%.

Recursive Vision Language Models for General Symbolic Reasoning Using 16 particles and 48 outer recur- sionsteps,GuidedMAPimprovesSudoku-Extremeaccuracy from 85.9% to 98.0%

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:11:29.180737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 353d3d9d-6f51-4407-9c17-fc0096664224 · outbound

This paper cites On the Measure of Intelligence.

Recursive Vision Language Models for General Symbolic Reasoning On the Measure of Intelligence

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:24.668855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 639fe546-14e7-49da-b77b-488be3fbe2d7 · outbound

This paper cites Behzadian,B.;Daley,B.;Subbaraj,G.;andNassif,H.2026.

Recursive Vision Language Models for General Symbolic Reasoning Behzadian,B.;Daley,B.;Subbaraj,G.;andNassif,H.2026

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:11:30.223228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5b72876c-87f6-4474-a10c-d2f7e6340000 · outbound

This paper cites Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers.

Recursive Vision Language Models for General Symbolic Reasoning Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:25.856010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 165b4248-4d4d-41e8-ae31-4d301dd7c12c · outbound

This paper cites Addressing the Abstraction and Reasoning Corpus via Procedural Example Generation.

Recursive Vision Language Models for General Symbolic Reasoning Addressing the Abstraction and Reasoning Corpus via Procedural Example Generation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:25.481855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 541f7b36-6778-439d-a9af-acbc2222bf27 · outbound

This paper cites InPro- ceedings of the 42nd International Conference on Machine Learning, volume 267 ofProceedings of Machine Learning Research, 942–963.

Recursive Vision Language Models for General Symbolic Reasoning InPro- ceedings of the 42nd International Conference on Machine Learning, volume 267 ofProceedings of Machine Learning Research, 942–963

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:11:30.375715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d821c4e2-68cb-4bbf-8bfe-87c8892597a9 · outbound

This paper cites Generative Recursive Reasoning.

Recursive Vision Language Models for General Symbolic Reasoning Generative Recursive Reasoning

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:24.542046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.