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Paper Citation Record · LEDGER

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models

As of 15 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2507.19748.

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

pith.paper-citation-record.v1
2507.19748 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:11:54.311308Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

38 of 38 outbound references displayed

  • verified exact1
  • verified fuzzy8
  • unresolved28
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 355a1ae3-9578-4bb6-97d9-4de3cea7af62 · outbound

This paper cites write newline.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models write newline

Reference 1

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no resolver link, observed 2026-08-06T14:11:51.261545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:11:51.261545Z digest=sha256:cda299fe22a00f32d850e4fa2f0c4f53539f2db3298d018f498cfaf90993745f

Observation a089dd99-1589-4404-908f-611634c4abe3 · outbound

This paper cites American invitational mathematics examination - aime.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models American invitational mathematics examination - aime

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T14:11:56.786352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T14:11:51.298289Z digest=sha256:de775acdc28b26bfd0be8380fb3b48f0605259e6c80c85cc28c30a998e76e2d3

Observation a9bd68b9-7aec-49f1-b1e5-777f08486fb5 · outbound

This paper cites American invitational mathematics examination - aime.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models American invitational mathematics examination - aime

Reference 3

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raw_fallback, observed 2026-08-06T14:11:56.583835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T14:11:51.383975Z digest=sha256:a8b646cf744b742b1f83857b4938cdd3db0ecd9a6065979143d79ce24e3060b6

Observation 6a8cda34-90f4-4cee-8211-5f27c84a86a9 · outbound

This paper cites Llama 3 model card.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Llama 3 model card

Reference 4

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no resolver link, observed 2026-08-06T14:11:51.468878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:11:51.468878Z digest=sha256:a80e3f96f4cfbe5af0ce3103819979ba5b64cbbdd0f140990234d852f472f044

Observation eb473e10-effb-461c-88da-6b0ff0b68895 · outbound

This paper cites SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Reference 5

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source=arxiv_source observed=2026-08-06T14:11:51.539481Z digest=sha256:090beaeab76244d79e0dca39052cfdad45f63a15083531498c37f2e376fcc517

Observation 8f8bdafa-95dd-4c89-aa5e-1eeeb2b62a62 · outbound

This paper cites American mathematics competition - amc.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models American mathematics competition - amc

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:11:56.379214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T14:11:51.614830Z digest=sha256:71bc141e47636df91891076abfce5e494999d27426d2593098906f496d82a343

Observation 9a6aba26-2b8e-416f-827a-99da7e9707bb · outbound

This paper cites AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning

Reference 7

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no resolver link, observed 2026-08-06T14:11:51.663587Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:11:51.663587Z digest=sha256:16722937f2a9ec02abab06b464ee42d25c05fb8fd9eb381b42efe59a5dab185f

Observation a7887f2e-037f-44e0-852d-612278dad482 · outbound

This paper cites The chinese national mathematics olympiad (cnmo), 2024.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models The chinese national mathematics olympiad (cnmo), 2024

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T14:11:51.694235Z digest=sha256:1c7c016a18d902b8645bec894d8a4898f5678c712fd49975b6a6c3f6961d8691

Observation e8837aeb-5a5f-4612-a8f0-760cd8654b69 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Training Verifiers to Solve Math Word Problems

Reference 9

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no resolver link, observed 2026-08-06T14:11:51.777643Z

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source=arxiv_source observed=2026-08-06T14:11:51.777643Z digest=sha256:2ed367a364814312868c59da13fd93a06cdfb8fd93646b3cc5eb439294b630ba

Observation 678cc14f-7b8e-4412-8bc0-f7311e2cb6ea · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 10

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no resolver link, observed 2026-08-06T14:11:51.884059Z

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source=arxiv_source observed=2026-08-06T14:11:51.884059Z digest=sha256:1f9e74da3e5dd8eff56bceb3f6eecd6db33eaeaea1fa1f3cdef25834d1b74b7f

Observation 27ae394d-3da1-4fc4-b787-0aa1e3654169 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 11

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no resolver link, observed 2026-08-06T14:11:51.936203Z

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source=arxiv_source observed=2026-08-06T14:11:51.936203Z digest=sha256:14bfbebe2ce0438dc4f79b7090b0c05327e429c6bf18b190f533b2459932ca97

Observation c9964a60-687e-4289-8686-d02efe028bd7 · outbound

This paper cites Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch

Reference 12

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no resolver link, observed 2026-08-06T14:11:52.000558Z

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source=arxiv_source observed=2026-08-06T14:11:52.000558Z digest=sha256:b0096918892645d1987a5d274e02f9c96df4dc4a0abc5263532163e650ebf173

Observation 87acdee5-1807-41d8-934f-1b54a60dd98a · outbound

This paper cites Open r1: A fully open reproduction of deepseek-r1, January 2025.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Open r1: A fully open reproduction of deepseek-r1, January 2025

Reference 13

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source=arxiv_source observed=2026-08-06T14:11:52.111356Z digest=sha256:7690349eee5cb0353990c38b863907679e863a01f3e041320b1a74b98fd4803f

Observation 77e5fc48-e1b0-4f01-a2f3-9bed69b24641 · outbound

This paper cites OpenThoughts: Data Recipes for Reasoning Models.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models OpenThoughts: Data Recipes for Reasoning Models

Reference 14

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no resolver link, observed 2026-08-06T14:11:52.164187Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T14:11:52.164187Z digest=sha256:e40604bb831027f0be16428917407037e1c2e18ca76f356470a908b44acefec9

Observation eef3a215-20eb-4041-992f-e9a298025457 · outbound

This paper cites OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

Reference 15

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no resolver link, observed 2026-08-06T14:11:52.248368Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:11:52.248368Z digest=sha256:7e292b26155665fee92e8218a6362ae8cb4346471c90c375eb4955934f6feef4

Observation c32e5525-5730-4363-9fff-9e872fb6758b · outbound

This paper cites DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning

Reference 16

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no resolver link, observed 2026-08-06T14:11:52.309006Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:11:52.309006Z digest=sha256:825937cb71100eae1216b08e2c015f795a021cf29d70949e771bd4eff9099281

Observation a124cf27-0fd3-4242-8b09-278aeb7b14a5 · outbound

This paper cites finemath-classifier, 2025.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models finemath-classifier, 2025

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:11:55.992144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T14:11:52.395295Z digest=sha256:c3680192d3205098ac795f32db23722bedd68ec8d87c664846e89260576c7aed

Observation 2d392652-7e49-4cd6-a7c2-206551e7a97d · outbound

This paper cites AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale

Reference 18

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no resolver link, observed 2026-08-06T14:11:52.468555Z

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source=arxiv_source observed=2026-08-06T14:11:52.468555Z digest=sha256:6ba57574df96977d9bc983e3a478a6e640050a78f0ff6f9ca45b64d931385b2f

Observation 6380066f-72dc-4e51-acd3-f6093d2c6ed0 · outbound

This paper cites How difficulty-aware staged reinforcement learning enhances llms' reasoning capabilities: A preliminary experimental study, 2025 b.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models How difficulty-aware staged reinforcement learning enhances llms' reasoning capabilities: A preliminary experimental study, 2025 b

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T14:11:52.519638Z digest=sha256:a40f80eba324e1351ca2124fee8abe3898ab561c697e5c342ad289701c81c6d1

Observation 31bca426-ac19-4878-b27f-79d0ebd848dd · outbound

This paper cites Math-Verify: Math Verification Library , 2025.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Math-Verify: Math Verification Library , 2025

Reference 20

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raw_fallback, observed 2026-08-06T14:11:55.628755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T14:11:52.603376Z digest=sha256:8912d575c6ca0aacc9dd71d4d5478641d882d5c287594672ea482b4bec55a6b6

Observation 6a30f0ff-6e70-4413-96ce-65f346db6800 · outbound

This paper cites Numinamath.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Numinamath

Reference 21

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T14:11:52.674937Z digest=sha256:2107586cafd997126e15cce77434e5e35d9f24dd4d63f9174a1d6dc0510d58e8

Observation 12db0d7f-a9e2-4f7b-be4b-835ff78e3814 · outbound

This paper cites Let's verify step by step.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Let's verify step by step

Reference 22

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no resolver link, observed 2026-08-06T14:11:52.708680Z

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source=arxiv_source observed=2026-08-06T14:11:52.708680Z digest=sha256:deeb001c0b708e6e7d9749d8b8259dd13f32b8671a8b37290b07ed2363b7c8fa

Observation 0f27a9ea-c53b-4e9c-b200-791d9693c070 · outbound

This paper cites AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling

Reference 23

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no resolver link, observed 2026-08-06T14:11:52.807336Z

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source=arxiv_source observed=2026-08-06T14:11:52.807336Z digest=sha256:03a3c922f5e55237c4db8dbcbc9b930cefbd3b4196b0a5788d4bd70c34fac99a

Observation 9d7194b3-a768-43a9-9dab-84f25d8cfb11 · outbound

This paper cites AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset

Reference 24

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source=arxiv_source observed=2026-08-06T14:11:52.893873Z digest=sha256:a2b46d9d135a1451eeeae9617f82c56e956aa6af961cb67aa39a9363900944f7

Observation ca8130f4-1d79-4ce2-9434-52b669ae2e33 · outbound

This paper cites GPT-4o System Card.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models GPT-4o System Card

Reference 25

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no resolver link, observed 2026-08-06T14:11:52.950932Z

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source=arxiv_source observed=2026-08-06T14:11:52.950932Z digest=sha256:dfb34a5fbf5a6e3102e446e5d6347de5e22fa51a61821a7c1e231f781c1dab2a

Observation c6e31aec-963a-4997-8a57-dad361123279 · outbound

This paper cites OpenAI o1 System Card.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models OpenAI o1 System Card

Reference 26

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no resolver link, observed 2026-08-06T14:11:53.034590Z

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source=arxiv_source observed=2026-08-06T14:11:53.034590Z digest=sha256:eaecf4eb58d0530441e9387371e52231cab72ff415b9140c57b57f5825e97322

Observation 545f0617-da8d-44aa-9c68-e9263b48f72c · outbound

This paper cites Qwen2.5 Technical Report.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Qwen2.5 Technical Report

Reference 27

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no resolver link, observed 2026-08-06T14:11:53.088163Z

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source=arxiv_source observed=2026-08-06T14:11:53.088163Z digest=sha256:aa7885c304c51b735f0a5a03fde65cd858c3a06a02b63e61720c8a69e7224afc

Observation 6838a014-04b0-4f44-ac41-f3259693589b · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 28

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no resolver link, observed 2026-08-06T14:11:53.126929Z

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source=arxiv_source observed=2026-08-06T14:11:53.126929Z digest=sha256:4ca75657aae1669f829a7f7aa19c82438c3ae157da75a801672f91e829f7feba

Observation 041dfd78-c264-4331-a08e-083a5b30f939 · outbound

This paper cites DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training

Reference 29

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no resolver link, observed 2026-08-06T14:11:53.246664Z

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source=arxiv_source observed=2026-08-06T14:11:53.246664Z digest=sha256:d7fc27cdc4219ee62667cc67de47342d5d1fc7bdccbfbfeaa866693e36652282

Observation 534b77a2-28d4-4211-84f7-f3faa2dab895 · outbound

This paper cites CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?

Reference 30

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no resolver link, observed 2026-08-06T14:11:53.308540Z

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source=arxiv_source observed=2026-08-06T14:11:53.308540Z digest=sha256:f4b9b7b6fa28bfce2253a4e9db19e21da8ddefb20ef165bf7d3c3da7f9cb2c3b

Observation 5ef092f6-5eac-46b6-bf9d-7d0e5eee6d2a · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 31

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no resolver link, observed 2026-08-06T14:11:53.405712Z

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source=arxiv_source observed=2026-08-06T14:11:53.405712Z digest=sha256:18abe35db5586cf0bc5496bd789b5dde759eee8572149cd7f1557085ea5d607e

Observation 6d919d92-d8eb-4d60-9d94-a4a44518a1aa · outbound

This paper cites Autonomous data selection with zero-shot generative classifiers for mathematical texts.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Autonomous data selection with zero-shot generative classifiers for mathematical texts

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-06T14:11:55.415311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T14:11:53.556528Z digest=sha256:76f5338e8f67845adf33d1ba106ce011ec357133d008a42cffb4158cf8c8450f

Observation bf0e657a-4555-4e7e-ac92-095c97dad814 · outbound

This paper cites LIMA: Less Is More for Alignment.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models LIMA: Less Is More for Alignment

Reference 33

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no resolver link, observed 2026-08-06T14:11:53.712846Z

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source=arxiv_source observed=2026-08-06T14:11:53.712846Z digest=sha256:2b9d3ddaa34360606f9396f215cd2bcc4373137d49df589200018caff4c641ea

Observation c3dbeb14-602c-4d70-8146-647992783c2b · outbound

This paper cites MegaMath: Pushing the Limits of Open Math Corpora.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models MegaMath: Pushing the Limits of Open Math Corpora

Reference 34

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no resolver link, observed 2026-08-06T14:11:53.839697Z

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source=arxiv_source observed=2026-08-06T14:11:53.839697Z digest=sha256:3fe26dcaf67a7457fadc5ce49d35428e10e55590ec77d666c291780b39b13a2f

Observation 74a261ba-b292-4d70-91e5-a1c3f5b5ae93 · outbound

This paper cites Jiuzhang3.0: Efficiently improving mathematical reasoning by training small data synthesis models.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Jiuzhang3.0: Efficiently improving mathematical reasoning by training small data synthesis models

Reference 35

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raw_fallback, observed 2026-08-06T14:11:54.933323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T14:11:53.990959Z digest=sha256:f79a9f88c4c97fc395a1d162ebb794339d506215908418bb9dce669f6c509b7c

Observation 1da92bdc-2cde-4016-b388-59af974e7664 · outbound

This paper cites @esa (Ref.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models @esa (Ref

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:11:54.111525Z digest=sha256:a36573cdc62f3b96c8e1cf9c0b08a0b2d0a34ccb5bd597bd6cf4ecaeb355218a

Observation 3c98dd23-e4af-457d-8255-e9908c0a9d88 · outbound

This paper cites an unresolved cited work.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T14:11:54.203971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:11:54.203971Z digest=sha256:ceaa75d9afdb961ee656466220401dcb783aedd8b500de5239cbaa38642c554a

Observation 9eea373f-3edd-4d46-8a41-e180736d6d10 · outbound

This paper cites eo @I4iNڴ i?׫“3|so RSS= T*GLL ƍ nj n E jž&=Fw[ 6wYM4 AAAv׋ \ ]T K :th ^Gqq1Ґ^z <V# UsW ,@6mp]w5wu o ? <m ??殎 NkZ 6 P Ν;jJ( m޼ 鈊raȚ3gb faoߎ4DGG[O E RI|sܹs Ld޽>rqZ Q x:D[F.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models eo @I4iNڴ i?׫“3|so RSS= T*GLL ƍ nj n E jž&=Fw[ 6wYM4 AAAv׋ \ ]T K :th ^Gqq1Ґ^z <V# UsW ,@6mp]w5wu o ? <m ??殎 NkZ 6 P Ν;jJ( m޼ 鈊raȚ3gb faoߎ4DGG[O E RI|sܹs Ld޽>rqZ Q x:D[F

Reference 38

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T14:11:54.650414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T14:11:54.311308Z digest=sha256:5d76bd570fcc1de5e2aa2ae4c9480b6e36454b2746cd44e76436e31ad7d98aa5

Pith citing papers

No inbound Pith citation observations are available.